-
1
-
-
82655168678
-
A baseline for the multivariate comparison of resting-state networks
-
3051178 21442040
-
Allen, E. A.; Erhardt, E. B.; Damaraju, E.; Gruner, W.; Segall, J. M.; Silva, R. F.; Havlicek, M.; Rachakonda, S.; Fries, J.; Kalyanam, R.; Michael, A. M.; Caprihan, A.; Turner, J. A.; Eichele, T.; Adelsheim, S.; Bryan, A. D.; Bustillo, J.; Clark, V. P.; Ewing, S. W. F.; Filbey, F.; Ford, C. C.; Hutchison, K.; Jung, R. E.; Kiehl, K. A.; Kodituwakku, P.; Komesu, Y. M.; Mayer, A. R.; Pearlson, G. D.; Phillips, J. R.; Sadek, J. R.; Michael, S.; Teuscher, U.; Thoma, R. J.; & Calhoun, V. D. (2011). A baseline for the multivariate comparison of resting-state networks. Frontiers in systems neuroscience, 5, 2.
-
(2011)
Frontiers in Systems Neuroscience
, vol.5
, pp. 2
-
-
Allen, E.A.1
Erhardt, E.B.2
Damaraju, E.3
Gruner, W.4
Segall, J.M.5
Silva, R.F.6
Havlicek, M.7
Rachakonda, S.8
Fries, J.9
Kalyanam, R.10
Michael, A.M.11
Caprihan, A.12
Turner, J.A.13
Eichele, T.14
Adelsheim, S.15
Bryan, A.D.16
Bustillo, J.17
Clark, V.P.18
Ewing, S.W.F.19
Filbey, F.20
Ford, C.C.21
Hutchison, K.22
Jung, R.E.23
Kiehl, K.A.24
Kodituwakku, P.25
Komesu, Y.M.26
Mayer, A.R.27
Pearlson, G.D.28
Phillips, J.R.29
Sadek, J.R.30
Michael, S.31
Teuscher, U.32
Thoma, R.J.33
Calhoun, V.D.34
more..
-
2
-
-
34548832230
-
A fast diffeomorphic image registration algorithm
-
17761438
-
Ashburner, J. (2007). A fast diffeomorphic image registration algorithm. NeuroImage, 38, 95-113.
-
(2007)
NeuroImage
, vol.38
, pp. 95-113
-
-
Ashburner, J.1
-
3
-
-
70049108710
-
Computational anatomy with the SPM software
-
19249168
-
Ashburner, J. (2009). Computational anatomy with the SPM software. Magnetic Resonance Imaging, 27, 1163-1174.
-
(2009)
Magnetic Resonance Imaging
, vol.27
, pp. 1163-1174
-
-
Ashburner, J.1
-
4
-
-
0033933649
-
Voxel-based morphometry-the methods
-
1:STN:280:DC%2BD3cvgt1Chug%3D%3D 10860804
-
Ashburner, J.; & Friston, K. (2000). Voxel-based morphometry-the methods. NeuroImage, 11, 805-821.
-
(2000)
NeuroImage
, vol.11
, pp. 805-821
-
-
Ashburner, J.1
Friston, K.2
-
5
-
-
84892409326
-
Prediction of successful memory encoding from fMRI data
-
Balci, S.; Sabuncu, M.; Yoo, J.; Gosh, S.; Gabrieli, W.; Gabrieli, J.; & Golland, P. (2008). Prediction of successful memory encoding from fMRI data. Med Image Comput Comput Assist Interv, 11, 97-104.
-
(2008)
Med Image Comput Comput Assist Interv
, vol.11
, pp. 97-104
-
-
Balci, S.1
Sabuncu, M.2
Yoo, J.3
Gosh, S.4
Gabrieli, W.5
Gabrieli, J.6
Golland, P.7
-
7
-
-
44949194744
-
The effect of respiration variations on independent component analysis results of resting state functional connectivity
-
2715870 18438886
-
Birn, R. M.; Murphy, K.; & Bandettini, P. A. (2008). The effect of respiration variations on independent component analysis results of resting state functional connectivity. Human Brain Mapping, 29, 740-750.
-
(2008)
Human Brain Mapping
, vol.29
, pp. 740-750
-
-
Birn, R.M.1
Murphy, K.2
Bandettini, P.A.3
-
10
-
-
84859702935
-
Decoding representations of scenes in the medial temporal lobes
-
3470919 21656874
-
Bonnici, H. M.; Kumaran, D.; Chadwick, M. J.; Weiskopf, N.; Hassabis, D.; & Maguire, E. A. (2011). Decoding representations of scenes in the medial temporal lobes. Hippocampus, 22, 1143-1153.
-
(2011)
Hippocampus
, vol.22
, pp. 1143-1153
-
-
Bonnici, H.M.1
Kumaran, D.2
Chadwick, M.J.3
Weiskopf, N.4
Hassabis, D.5
Maguire, E.A.6
-
11
-
-
75749135663
-
The role of neuroimaging in diagnosis and personalized medicine-current position and likely future directions
-
3181933 20135896
-
Brammer, M. (2009). The role of neuroimaging in diagnosis and personalized medicine-current position and likely future directions. Dialogues In Clinical Neuroscience, 11, 389-396.
-
(2009)
Dialogues in Clinical Neuroscience
, vol.11
, pp. 389-396
-
-
Brammer, M.1
-
12
-
-
77449098568
-
Applications of multivariate pattern classification analyses in developmental neuroimaging of healthy and clinical populations
-
2773173 19893761
-
Bray, S.; Chang, C.; & Hoeft, F. (2009). Applications of multivariate pattern classification analyses in developmental neuroimaging of healthy and clinical populations. Frontiers In Human Neuroscience, 3, 32.
-
(2009)
Frontiers in Human Neuroscience
, vol.3
, pp. 32
-
-
Bray, S.1
Chang, C.2
Hoeft, F.3
-
13
-
-
84866732343
-
Neuroanatomical assessment of biological maturity
-
Brown, T. T.; Kuperman, J. M.; Chung, Y.; Erhart, M.; McCabe, C.; Hagler, D. J.; Venkatraman, V. K.; Akshoomoff, N.; Amaral, D. G.; and Bloss, C. S. (2012). Neuroanatomical assessment of biological maturity. Current Biology, 22(18), 1693-1698.
-
(2012)
Current Biology
, vol.22
, Issue.18
, pp. 1693-1698
-
-
Brown, T.T.1
Kuperman, J.M.2
Chung, Y.3
Erhart, M.4
McCabe, C.5
Hagler, D.J.6
Venkatraman, V.K.7
Akshoomoff, N.8
Amaral, D.G.9
Bloss, C.S.10
-
14
-
-
79952704626
-
Penalized least squares regression methods and applications to neuroimaging
-
21167288
-
Bunea, F.; She, Y.; Ombao, H.; Gongvatana, A.; Devlin, K.; & Cohen, R. (2011). Penalized least squares regression methods and applications to neuroimaging. NeuroImage, 55, 1519-1527.
-
(2011)
NeuroImage
, vol.55
, pp. 1519-1527
-
-
Bunea, F.1
She, Y.2
Ombao, H.3
Gongvatana, A.4
Devlin, K.5
Cohen, R.6
-
15
-
-
83055181241
-
Female children with autism spectrum disorder: An insight from mass-univariate and pattern classification analyses
-
21896334
-
Calderoni, S.; Retico, A.; Biagi, L.; Tancredi, R.; Muratori, F.; & Tosetti, M. (2012). Female children with autism spectrum disorder: An insight from mass-univariate and pattern classification analyses. NeuroImage, 59, 1013-1022.
-
(2012)
NeuroImage
, vol.59
, pp. 1013-1022
-
-
Calderoni, S.1
Retico, A.2
Biagi, L.3
Tancredi, R.4
Muratori, F.5
Tosetti, M.6
-
18
-
-
0034753663
-
A method for making group inferences from functional MRI data using independent component analysis
-
1:STN:280:DC%2BD3MrhtFyrsQ%3D%3D 11559959
-
Calhoun, V. D.; Adali, T.; Pearlson, G. D.; & Pekar, J. J. (2001). A method for making group inferences from functional MRI data using independent component analysis. Human Brain Mapping, 14, 140-151.
-
(2001)
Human Brain Mapping
, vol.14
, pp. 140-151
-
-
Calhoun, V.D.1
Adali, T.2
Pearlson, G.D.3
Pekar, J.J.4
-
19
-
-
65549097795
-
A review of group ICA for fMRI data and ICA for joint inference of imaging, genetic, and ERP data
-
2651152 19059344
-
Calhoun, V. D.; Liu, J.; & Adali, T. L. (2009). A review of group ICA for fMRI data and ICA for joint inference of imaging, genetic, and ERP data. NeuroImage, 45, S163-S172.
-
(2009)
NeuroImage
, vol.45
-
-
Calhoun, V.D.1
Liu, J.2
Adali, T.L.3
-
20
-
-
84864253071
-
Exploring the psychosis functional connectome: Aberrant intrinsic networks in schizophrenia and bipolar disorder
-
3254121 22291663
-
Calhoun, V. D.; Sui, J.; Kiehl, K.; Turner, J.; Allen, E.; & Pearlson, G. (2011). Exploring the psychosis functional connectome: aberrant intrinsic networks in schizophrenia and bipolar disorder. Frontiers in Psychiatry, 2, 75.
-
(2011)
Frontiers in Psychiatry
, vol.2
, pp. 75
-
-
Calhoun, V.D.1
Sui, J.2
Kiehl, K.3
Turner, J.4
Allen, E.5
Pearlson, G.6
-
21
-
-
47949115223
-
Application of principal component analysis to distinguish patients with schizophrenia from healthy controls based on fractional anisotropy measurements
-
1:STN:280:DC%2BD1cvpt1Cquw%3D%3D 2566788 18571937
-
Caprihan, A.; Pearlson, G. D.; & Calhoun, V. D. (2008). Application of principal component analysis to distinguish patients with schizophrenia from healthy controls based on fractional anisotropy measurements. NeuroImage, 42, 675-682.
-
(2008)
NeuroImage
, vol.42
, pp. 675-682
-
-
Caprihan, A.1
Pearlson, G.D.2
Calhoun, V.D.3
-
22
-
-
55149117963
-
Prediction and interpretation of distributed neural activity with sparse models
-
18793733
-
Carroll, M. K.; Cecchi, G. A.; Rish, I.; Garg, R.; & Rao, A. R. (2009). Prediction and interpretation of distributed neural activity with sparse models. NeuroImage, 44, 112-122.
-
(2009)
NeuroImage
, vol.44
, pp. 112-122
-
-
Carroll, M.K.1
Cecchi, G.A.2
Rish, I.3
Garg, R.4
Rao, A.R.5
-
23
-
-
84993994674
-
High dimensional classification of structural MRI Alzheimer's disease data based on large scale regularization
-
doi: 10.3389/fninf.2011.0002
-
Casanova, R.; Whitlow, C. T.; Wagner, B.; Williamson, J.; Shumaker, S. A.; Maldjian, J. A.; and Espeland, M. A. (2011). High dimensional classification of structural MRI Alzheimer's disease data based on large scale regularization. Frontiers in Neuroinformatics, 5. doi: 10.3389/fninf.2011.0002.
-
(2011)
Frontiers in Neuroinformatics
, vol.5
-
-
Casanova, R.1
Whitlow, C.T.2
Wagner, B.3
Williamson, J.4
Shumaker, S.A.5
Maldjian, J.A.6
Espeland, M.A.7
-
24
-
-
85056043469
-
Combining graph and machine learning methods to analyze differences in functional connectivity across sex
-
1:STN:280:DC%2BC383htVKjtg%3D%3D 3271304 22312418
-
Casanova, R.; Whitlow, C.; Wagner, B.; Espeland, M.; & Maldjian, J. (2012). Combining graph and machine learning methods to analyze differences in functional connectivity across sex. The Open Neuroimaging Journal, 6, 1.
-
(2012)
The Open Neuroimaging Journal
, vol.6
, pp. 1
-
-
Casanova, R.1
Whitlow, C.2
Wagner, B.3
Espeland, M.4
Maldjian, J.5
-
25
-
-
80051781186
-
Characterization of groups using composite kernels and multi-source fMRI analysis data: Application to schizophrenia
-
3242731 21723948
-
Castro, E.; Martanez-Ramon, M.; Pearlson, G.; Sui, J.; & Calhoun, V. D. (2011a). Characterization of groups using composite kernels and multi-source fMRI analysis data: Application to schizophrenia. NeuroImage, 58, 526-536.
-
(2011)
NeuroImage
, vol.58
, pp. 526-536
-
-
Castro, E.1
Martanez-Ramon, M.2
Pearlson, G.3
Sui, J.4
Calhoun, V.D.5
-
26
-
-
80051781186
-
Characterization of groups using composite kernels and multi-source fMRI analysis data: Application to schizophrenia
-
3242731 21723948
-
Castro, E.; Martinez-Raman, M.; Pearlson, G.; Sui, J.; & Calhoun, V. D. (2011b). Characterization of groups using composite kernels and multi-source fMRI analysis data: application to schizophrenia. NeuroImage, 58, 526-536.
-
(2011)
NeuroImage
, vol.58
, pp. 526-536
-
-
Castro, E.1
Martinez-Raman, M.2
Pearlson, G.3
Sui, J.4
Calhoun, V.D.5
-
27
-
-
77949480559
-
Decoding individual episodic memory traces in the human hippocampus
-
1:CAS:528:DC%2BC3cXjslSjs78%3D 2849012 20226665
-
Chadwick, M. J.; Hassabis, D.; Weiskopf, N.; & Maguire, E. A. (2010). Decoding individual episodic memory traces in the human hippocampus. Current Biology, 20, 544-547.
-
(2010)
Current Biology
, vol.20
, pp. 544-547
-
-
Chadwick, M.J.1
Hassabis, D.2
Weiskopf, N.3
Maguire, E.A.4
-
28
-
-
77954121007
-
Quantitative analysis in clinical applications of brain MRI using independent component analysis coupled with support vector machine
-
20578007
-
Chai, J.-W.; Chi-Chang Chen, C.; Chiang, C.-M.; Ho, Y.-J.; Chen, H.-M.; Ouyang, Y.-C.; Yang, C.-W.; Lee, S.-K.; & Chang, C.-I. (2010). Quantitative analysis in clinical applications of brain MRI using independent component analysis coupled with support vector machine. Journal Of Magnetic Resonance Imaging: JMRI, 32, 24-34.
-
(2010)
Journal of Magnetic Resonance Imaging: JMRI
, vol.32
, pp. 24-34
-
-
Chai, J.-W.1
Chi-Chang Chen, C.2
Chiang, C.-M.3
Ho, Y.-J.4
Chen, H.-M.5
Ouyang, Y.-C.6
Yang, C.-W.7
Lee, S.-K.8
Chang, C.-I.9
-
29
-
-
67649982863
-
SVM-based computer-aided diagnosis of the Alzheimer's disease using t-test NMSE feature selection with feature correlation weighting
-
1:CAS:528:DC%2BD1MXosVegsrc%3D 19549559
-
Chaves, R.; Ramarez, J.; Garriz, J. M.; Lopez, M.; Salas-Gonzalez, D.; Alvarez, I.; & Segovia, F. (2009). SVM-based computer-aided diagnosis of the Alzheimer's disease using t-test NMSE feature selection with feature correlation weighting. Neuroscience Letters, 461, 293-297.
-
(2009)
Neuroscience Letters
, vol.461
, pp. 293-297
-
-
Chaves, R.1
Ramarez, J.2
Garriz, J.M.3
Lopez, M.4
Salas-Gonzalez, D.5
Alvarez, I.6
Segovia, F.7
-
30
-
-
67349174191
-
Linking functional and structural brain images with multivariate network analyses: A novel application of the partial least square method
-
2700206 19393744
-
Chen, K.; Reiman, E. M.; Huan, Z.; Caselli, R. J.; Bandy, D.; Ayutyanont, N.; & Alexander, G. E. (2009). Linking functional and structural brain images with multivariate network analyses: A novel application of the partial least square method. NeuroImage, 47, 602-610.
-
(2009)
NeuroImage
, vol.47
, pp. 602-610
-
-
Chen, K.1
Reiman, E.M.2
Huan, Z.3
Caselli, R.J.4
Bandy, D.5
Ayutyanont, N.6
Alexander, G.E.7
-
31
-
-
84865007497
-
Individual classification of ADHD patients by integrating multiscale neuroimaging markers and advanced pattern recognition techniques
-
Cheng, W.; Ji, X.; Zhang, J.; & Feng, J. (2012). Individual classification of ADHD patients by integrating multiscale neuroimaging markers and advanced pattern recognition techniques. Frontiers In Systems Neuroscience, 6.
-
(2012)
Frontiers in Systems Neuroscience
, vol.6
-
-
Cheng, W.1
Ji, X.2
Zhang, J.3
Feng, J.4
-
32
-
-
84862776712
-
Does feature selection improve classification accuracy? Impact of sample size and feature selection on classification using anatomical magnetic resonance images
-
22166797
-
Chu, C.; Hsu, A.-L.; Chou, K.-H.; Bandettini, P.; & Lin, C. (2012). Does feature selection improve classification accuracy? Impact of sample size and feature selection on classification using anatomical magnetic resonance images. NeuroImage, 60, 59-70.
-
(2012)
NeuroImage
, vol.60
, pp. 59-70
-
-
Chu, C.1
Hsu, A.-L.2
Chou, K.-H.3
Bandettini, P.4
Lin, C.5
-
34
-
-
34249321979
-
Performance of blind source separation algorithms for fMRI analysis using a group ICA method
-
2358930 17540281
-
Correa, N.; AdalÄ, T.; & Calhoun, V. D. (2007). Performance of blind source separation algorithms for fMRI analysis using a group ICA method. Magnetic Resonance Imaging, 25, 684-694.
-
(2007)
Magnetic Resonance Imaging
, vol.25
, pp. 684-694
-
-
Correa, N.1
Adalä, T.2
Calhoun, V.D.3
-
35
-
-
68149169975
-
Prognostic and diagnostic potential of the structural neuroanatomy of depression
-
2712086 19633718
-
Costafreda, S. G.; Chu, C.; Ashburner, J.; & Fu, C. H. Y. (2009). Prognostic and diagnostic potential of the structural neuroanatomy of depression. Plos One, 4, e6353.
-
(2009)
Plos One
, vol.4
, pp. 6353
-
-
Costafreda, S.G.1
Chu, C.2
Ashburner, J.3
Fu, C.H.Y.4
-
36
-
-
79251561866
-
Pattern of neural responses to verbal fluency shows diagnostic specificity for schizophrenia and bipolar disorder
-
3042380 21276242
-
Costafreda, S.; Fu, C.; Picchioni, M.; Toulopoulou, T.; McDonald, C.; Kravariti, E.; Walsge, M.; Prata, D.; Murray, R.; & McGuire, P. (2011). Pattern of neural responses to verbal fluency shows diagnostic specificity for schizophrenia and bipolar disorder. BMC Psychiatry, 11, 18.
-
(2011)
BMC Psychiatry
, vol.11
, pp. 18
-
-
Costafreda, S.1
Fu, C.2
Picchioni, M.3
Toulopoulou, T.4
McDonald, C.5
Kravariti, E.6
Walsge, M.7
Prata, D.8
Murray, R.9
McGuire, P.10
-
37
-
-
79956201846
-
Multi-voxel pattern analysis of fMRI data predicts clinical symptom severity
-
3105443 21513803
-
Coutanche, M. N.; Thompson-Schill, S. L.; & Schultz, R. T. (2011). Multi-voxel pattern analysis of fMRI data predicts clinical symptom severity. NeuroImage, 57, 113-123.
-
(2011)
NeuroImage
, vol.57
, pp. 113-123
-
-
Coutanche, M.N.1
Thompson-Schill, S.L.2
Schultz, R.T.3
-
38
-
-
0041737619
-
Functional magnetic resonance imaging (fMRI) "brain reading"•: Detecting and classifying distributed patterns of fMRI activity in human visual cortex
-
12814577
-
Cox, D. D.; & Savoy, R. L. (2003). Functional magnetic resonance imaging (fMRI) "brain reading"•: detecting and classifying distributed patterns of fMRI activity in human visual cortex. NeuroImage, 19, 261-270.
-
(2003)
NeuroImage
, vol.19
, pp. 261-270
-
-
Cox, D.D.1
Savoy, R.L.2
-
39
-
-
73149109077
-
Disease state prediction from resting state functional connectivity
-
Craddock, R. C.; Holtzheimer, P. E.; 3rd, Hu, X. P.; & Mayberg, H. S. (2009). Disease state prediction from resting state functional connectivity. Magnetic Resonance In Medicine: Official Journal Of The Society Of Magnetic Resonance In Medicine/Society Of Magnetic Resonance In Medicine, 62, 1619-1628.
-
(2009)
Magnetic Resonance in Medicine: Official Journal of the Society of Magnetic Resonance in Medicine/Society of Magnetic Resonance in Medicine
, vol.62
, pp. 1619-1628
-
-
Craddock, R.C.1
Holtzheimer III, P.E.2
Hu, X.P.3
Mayberg, H.S.4
-
40
-
-
84855434935
-
Discriminative analysis of early Alzheimer's disease using multi-modal imaging and multi-level characterization with multi-classifier (M3)
-
22008370
-
Dai, Z.; Yan, C.; Wang, Z.; Wang, J.; Xia, M.; Li, K.; & He, Y. (2012). Discriminative analysis of early Alzheimer's disease using multi-modal imaging and multi-level characterization with multi-classifier (M3). NeuroImage, 59, 2187-2195.
-
(2012)
NeuroImage
, vol.59
, pp. 2187-2195
-
-
Dai, Z.1
Yan, C.2
Wang, Z.3
Wang, J.4
Xia, M.5
Li, K.6
He, Y.7
-
41
-
-
39749189507
-
Detection of prodromal Alzheimer's disease via pattern classification of magnetic resonance imaging
-
2323584 17174012
-
Davatzikos, C.; Fan, Y.; Wu, X.; Shen, D.; & Resnick, S. M. (2008). Detection of prodromal Alzheimer's disease via pattern classification of magnetic resonance imaging. Neurobiology of Aging, 29, 514-523.
-
(2008)
Neurobiology of Aging
, vol.29
, pp. 514-523
-
-
Davatzikos, C.1
Fan, Y.2
Wu, X.3
Shen, D.4
Resnick, S.M.5
-
42
-
-
33751108300
-
Classification of fMRI independent components using IC-fingerprints and support vector machine classifiers
-
17070708
-
De Martino, F.; Gentile, F.; Esposito, F.; Balsi, M.; Di Salle, F.; Goebel, R.; & Formisano, E. (2007). Classification of fMRI independent components using IC-fingerprints and support vector machine classifiers. NeuroImage, 34, 177-194.
-
(2007)
NeuroImage
, vol.34
, pp. 177-194
-
-
De Martino, F.1
Gentile, F.2
Esposito, F.3
Balsi, M.4
Di Salle, F.5
Goebel, R.6
Formisano, E.7
-
43
-
-
52049116700
-
Combining multivariate voxel selection and support vector machines for mapping and classification of fMRI spatial patterns
-
18672070
-
De Martino, F.; Valente, G.; Staeren, N. L.; Ashburner, J.; Goebel, R.; & Formisano, E. (2008). Combining multivariate voxel selection and support vector machines for mapping and classification of fMRI spatial patterns. NeuroImage, 43, 44-58.
-
(2008)
NeuroImage
, vol.43
, pp. 44-58
-
-
De Martino, F.1
Valente, G.2
Staeren, N.L.3
Ashburner, J.4
Goebel, R.5
Formisano, E.6
-
44
-
-
78650156311
-
Recursive cluster elimination based support vector machine for disease state prediction using resting state functional and effective brain connectivity
-
3000328 21151556
-
Deshpande, G.; Li, Z.; Santhanam, P.; Coles, C. D.; Lynch, M. E.; Hamann, S.; & Hu, X. (2010). Recursive cluster elimination based support vector machine for disease state prediction using resting state functional and effective brain connectivity. Plos One, 5, e14277.
-
(2010)
Plos One
, vol.5
, pp. 14277
-
-
Deshpande, G.1
Li, Z.2
Santhanam, P.3
Coles, C.D.4
Lynch, M.E.5
Hamann, S.6
Hu, X.7
-
45
-
-
77956517416
-
Prediction of individual brain maturity using fMRI
-
1:CAS:528:DC%2BC3cXhtFajs7vO 3135376 20829489
-
Dosenbach, N. U. F.; Nardos, B.; Cohen, A. L.; Fair, D. A.; Power, J. D.; Church, J. A.; Nelson, S. M.; Wig, G. S.; Vogel, A. C.; Lessov-Schlaggar, C. N.; et al. (2010). Prediction of individual brain maturity using fMRI. Science, 329, 1358-1361.
-
(2010)
Science
, vol.329
, pp. 1358-1361
-
-
Dosenbach, N.U.F.1
Nardos, B.2
Cohen, A.L.3
Fair, D.A.4
Power, J.D.5
Church, J.A.6
Nelson, S.M.7
Wig, G.S.8
Vogel, A.C.9
Lessov-Schlaggar, C.N.10
-
46
-
-
79955007464
-
Performance comparison of machine learning algorithms and number of independent components used in fMRI decoding of belief vs. Disbelief
-
1:STN:280:DC%2BC3Mvls1eisQ%3D%3D 3099263 21073969
-
Douglas, P. K.; Harris, S.; Yuille, A.; & Cohen, M. S. (2011). Performance comparison of machine learning algorithms and number of independent components used in fMRI decoding of belief vs. disbelief. NeuroImage, 56, 544-553.
-
(2011)
NeuroImage
, vol.56
, pp. 544-553
-
-
Douglas, P.K.1
Harris, S.2
Yuille, A.3
Cohen, M.S.4
-
47
-
-
84878821133
-
Multivariate decoding of brain images using ordinal regression
-
1:STN:280:DC%2BC3snkslGhtA%3D%3D 23684876
-
Doyle, O. M.; Ashburner, J.; Zelaya, F. O.; Williams, S. C. R.; Mehta, M. A.; & Marquand, A. F. (2013). Multivariate decoding of brain images using ordinal regression. NeuroImage, 81, 347-357.
-
(2013)
NeuroImage
, vol.81
, pp. 347-357
-
-
Doyle, O.M.1
Ashburner, J.2
Zelaya, F.O.3
Williams, S.C.R.4
Mehta, M.A.5
Marquand, A.F.6
-
48
-
-
17144412618
-
Population classification based on structural morphometry of cortical sulci
-
Duchesnay, E.; Roche, A.; Riviere, D.; Papadopoulos, D.; Cointepas, Y.; and Mangin, J.-F. (2004). Population classification based on structural morphometry of cortical sulci. Paper presented at: Biomedical Imaging: Nano to Macro, 2004.
-
(2004)
Biomedical Imaging: Nano to Macro
-
-
Duchesnay, E.1
Roche, A.2
Riviere, D.3
Papadopoulos, D.4
Cointepas, Y.5
Mangin, J.-F.6
-
49
-
-
34047099795
-
Classification based on cortical folding patterns
-
Duchesnay, E.; Cachia, A.; Roche, A.; Riviere, D.; Cointepas, Y.; Papadopoulos-Orfanos, D.; Zilbovicius, M.; Martinot, J.-L.; Regis, J.; & Mangin, J.-F. (2007). Classification based on cortical folding patterns. Medical Imaging, IEEE Transactions, 26, 553-565.
-
(2007)
Medical Imaging, IEEE Transactions
, vol.26
, pp. 553-565
-
-
Duchesnay, E.1
Cachia, A.2
Roche, A.3
Riviere, D.4
Cointepas, Y.5
Papadopoulos-Orfanos, D.6
Zilbovicius, M.7
Martinot, J.-L.8
Regis, J.9
Mangin, J.-F.10
-
50
-
-
79959747147
-
Feature selection and classification of imbalanced datasets: Application to PET images of children with autistic spectrum disorders
-
21600290
-
Duchesnay, E.; Cachia, A.; Boddaert, N.; Chabane, N.; Mangin, J.-F.; Martinot, J.-L.; Brunelle, F.; & Zilbovicius, M. (2011). Feature selection and classification of imbalanced datasets: Application to PET images of children with autistic spectrum disorders. NeuroImage, 57, 1003-1014.
-
(2011)
NeuroImage
, vol.57
, pp. 1003-1014
-
-
Duchesnay, E.1
Cachia, A.2
Boddaert, N.3
Chabane, N.4
Mangin, J.-F.5
Martinot, J.-L.6
Brunelle, F.7
Zilbovicius, M.8
-
51
-
-
84862797445
-
Task-driven ICA feature generation for accurate and interpretable prediction using fMRI
-
Duff, E. P.; Trachtenberg, A. J.; Mackay, C. E.; Howard, M. A.; Wilson, F.; Smith, S. M.; and Woolrich, M. W. (2011). Task-driven ICA feature generation for accurate and interpretable prediction using fMRI. NeuroImage, 6(1), 189-203.
-
(2011)
NeuroImage
, vol.6
, Issue.1
, pp. 189-203
-
-
Duff, E.P.1
Trachtenberg, A.J.2
Mackay, C.E.3
Howard, M.A.4
Wilson, F.5
Smith, S.M.6
Woolrich, M.W.7
-
52
-
-
84878119051
-
Meta-analysis based SVM classification enables accurate detection of Alzheimer's disease across different clinical centers using FDG-PET and MRI
-
Dukart, J.; Mueller, K.; Barthel, H.; Villringer, A.; Sabri, O.; and Schroeter, M. L. (2012). Meta-analysis based SVM classification enables accurate detection of Alzheimer's disease across different clinical centers using FDG-PET and MRI. Psychiatry Research: Neuroimaging, 212(3), 230-236.
-
(2012)
Psychiatry Research: Neuroimaging
, vol.212
, Issue.3
, pp. 230-236
-
-
Dukart, J.1
Mueller, K.2
Barthel, H.3
Villringer, A.4
Sabri, O.5
Schroeter, M.L.6
-
53
-
-
70349964707
-
Investigating the predictive value of whole-brain structural MR scans in autism: A pattern classification approach
-
19683584
-
Ecker, C.; Rocha-Rego, V.; Johnston, P.; Mourao-Miranda, J.; Marquand, A.; Daly, E. M.; Brammer, M. J.; Murphy, C.; & Murphy, D. G. (2010). Investigating the predictive value of whole-brain structural MR scans in autism: a pattern classification approach. NeuroImage, 49, 44-56.
-
(2010)
NeuroImage
, vol.49
, pp. 44-56
-
-
Ecker, C.1
Rocha-Rego, V.2
Johnston, P.3
Mourao-Miranda, J.4
Marquand, A.5
Daly, E.M.6
Brammer, M.J.7
Murphy, C.8
Murphy, D.G.9
-
54
-
-
69249093024
-
Coordinate-based activation likelihood estimation meta-analysis of neuroimaging data: A random-effects approach based on empirical estimates of spatial uncertainty
-
2872071 19172646
-
Eickhoff, S.; Laird, A.; Grefkes, C.; Wang, L.; Zilles, K.; & Fox, P. (2009). Coordinate-based activation likelihood estimation meta-analysis of neuroimaging data: a random-effects approach based on empirical estimates of spatial uncertainty. Human Brain Mapping, 30, 2907-2926.
-
(2009)
Human Brain Mapping
, vol.30
, pp. 2907-2926
-
-
Eickhoff, S.1
Laird, A.2
Grefkes, C.3
Wang, L.4
Zilles, K.5
Fox, P.6
-
55
-
-
81055133536
-
Comparison of multi-subject ICA methods for analysis of fMRI data
-
3117074 21162045
-
Erhardt, E. B.; Rachakonda, S.; Bedrick, E. J.; Allen, E. A.; Adali, T.; & Calhoun, V. D. (2011). Comparison of multi-subject ICA methods for analysis of fMRI data. Human Brain Mapping, 32, 2075-2095.
-
(2011)
Human Brain Mapping
, vol.32
, pp. 2075-2095
-
-
Erhardt, E.B.1
Rachakonda, S.2
Bedrick, E.J.3
Allen, E.A.4
Adali, T.5
Calhoun, V.D.6
-
56
-
-
33846264886
-
COMPARE: Classification of Morphological Patterns Using Adaptive Regional Elements
-
Fan, Y.; Shen, D.; Gur, R. C.; Gur, R. E.; & Davatzikos, C. (2006). COMPARE: Classification of Morphological Patterns Using Adaptive Regional Elements. Medical Imaging, IEEE Transactions, 26, 93-105.
-
(2006)
Medical Imaging, IEEE Transactions
, vol.26
, pp. 93-105
-
-
Fan, Y.1
Shen, D.2
Gur, R.C.3
Gur, R.E.4
Davatzikos, C.5
-
57
-
-
34347251908
-
Multivariate examination of brain abnormality using both structural and functional MRI
-
17512218
-
Fan, Y.; Rao, H.; Hurt, H.; Giannetta, J.; Korczykowski, M.; Shera, D.; Avants, B.; & Gee, J. (2007). Multivariate examination of brain abnormality using both structural and functional MRI. NeuroImage, 36, 1189-1199.
-
(2007)
NeuroImage
, vol.36
, pp. 1189-1199
-
-
Fan, Y.1
Rao, H.2
Hurt, H.3
Giannetta, J.4
Korczykowski, M.5
Shera, D.6
Avants, B.7
Gee, J.8
-
58
-
-
77955198893
-
Joint estimation of multiple clinical variables of neurological diseases from imaging patterns
-
2010 I.E. International Symposium on (IEEE)
-
Fan, Y.; Kaufer, D.; and Shen, D. (2010). Joint estimation of multiple clinical variables of neurological diseases from imaging patterns. Paper presented at: Biomedical Imaging: From Nano to Macro, 2010 I.E. International Symposium on (IEEE).
-
(2010)
Biomedical Imaging: From Nano to Macro
-
-
Fan, Y.1
Kaufer, D.2
Shen, D.3
-
59
-
-
48549099375
-
Multivariate analysis of fMRI time series: Classification and regression of brain responses using machine learning
-
18508219
-
Formisano, E.; De Martino, F.; & Valente, G. (2008). Multivariate analysis of fMRI time series: classification and regression of brain responses using machine learning. Magnetic Resonance Imaging, 26, 921-934.
-
(2008)
Magnetic Resonance Imaging
, vol.26
, pp. 921-934
-
-
Formisano, E.1
De Martino, F.2
Valente, G.3
-
60
-
-
16344365619
-
Classification using partial least squares with penalized logistic regression
-
1:CAS:528:DC%2BD2MXis1Oqu78%3D 15531609
-
Fort, G.; & Lambert-Lacroix, S. (2005). Classification using partial least squares with penalized logistic regression. Bioinformatics, 21, 1104-1111.
-
(2005)
Bioinformatics
, vol.21
, pp. 1104-1111
-
-
Fort, G.1
Lambert-Lacroix, S.2
-
61
-
-
77249176542
-
Estimating the age of healthy subjects from T1-weighted MRI scans using kernel methods: Exploring the influence of various parameters
-
20070949
-
Franke, K.; Ziegler, G.; Kloppel, S.; & Gaser, C. (2010). Estimating the age of healthy subjects from T1-weighted MRI scans using kernel methods: exploring the influence of various parameters. NeuroImage, 50, 883-892.
-
(2010)
NeuroImage
, vol.50
, pp. 883-892
-
-
Franke, K.1
Ziegler, G.2
Kloppel, S.3
Gaser, C.4
-
62
-
-
84866152087
-
Brain maturation: Predicting individual BrainAGE in children and adolescents using structural MRI
-
22902922
-
Franke, K.; Luders, E.; May, A.; Wilke, M.; & Gaser, C. (2012). Brain maturation: Predicting individual BrainAGE in children and adolescents using structural MRI. NeuroImage, 63, 1305-1312.
-
(2012)
NeuroImage
, vol.63
, pp. 1305-1312
-
-
Franke, K.1
Luders, E.2
May, A.3
Wilke, M.4
Gaser, C.5
-
63
-
-
77950537175
-
Regularization paths for generalized linear models via coordinate descent
-
2929880 20808728
-
Friedman, J.; Hastie, T.; & Tibshirani, R. (2010). Regularization paths for generalized linear models via coordinate descent. Journal of Statistical Software, 33, 1.
-
(2010)
Journal of Statistical Software
, vol.33
, pp. 1
-
-
Friedman, J.1
Hastie, T.2
Tibshirani, R.3
-
64
-
-
0029745127
-
A multivariate analysis of PET activation studies
-
1:STN:280:DC%2BC3c3nslKiug%3D%3D 20408193
-
Friston, K. J.; Poline, J. B.; Holmes, A. P.; Frith, C. D.; & Frakowiack, R. S. (1996). A multivariate analysis of PET activation studies. Human Brain Mapping, 4, 140-151.
-
(1996)
Human Brain Mapping
, vol.4
, pp. 140-151
-
-
Friston, K.J.1
Poline, J.B.2
Holmes, A.P.3
Frith, C.D.4
Frakowiack, R.S.5
-
65
-
-
40149084821
-
Pattern classification of sad facial processing: Toward the development of neurobiological markers in depression
-
17949689
-
Fu, C. H. Y.; Mourao-Miranda, J.; Costafreda, S. G.; Khanna, A.; Marquand, A. F.; Williams, S. C. R.; & Brammer, M. J. (2008). Pattern classification of sad facial processing: toward the development of neurobiological markers in depression. Biological Psychiatry, 63, 656-662.
-
(2008)
Biological Psychiatry
, vol.63
, pp. 656-662
-
-
Fu, C.H.Y.1
Mourao-Miranda, J.2
Costafreda, S.G.3
Khanna, A.4
Marquand, A.F.5
Williams, S.C.R.6
Brammer, M.J.7
-
66
-
-
79951554896
-
Developmental changes in multivariate neuroanatomical patterns that predict risk for psychosis in 22q11.2 deletion syndrome
-
3000448 20817203
-
Gothelf, D.; Hoeft, F.; Ueno, T.; Sugiura, L.; Lee, A. D.; Thompson, P.; & Reiss, A. L. (2011). Developmental changes in multivariate neuroanatomical patterns that predict risk for psychosis in 22q11.2 deletion syndrome. Journal Of Psychiatric Research, 45, 322-331.
-
(2011)
Journal of Psychiatric Research
, vol.45
, pp. 322-331
-
-
Gothelf, D.1
Hoeft, F.2
Ueno, T.3
Sugiura, L.4
Lee, A.D.5
Thompson, P.6
Reiss, A.L.7
-
67
-
-
80052364811
-
Computer aided diagnosis system for Alzheimer disease using brain diffusion tensor imaging features selected by pearson's correlation
-
1:CAS:528:DC%2BC3MXhtFaktbjN 21839143
-
Grana, M.; Termenon, M.; Savio, A.; Gonzalez-Pinto, A.; Echeveste, J.; Perez, J. M.; & Besga, A. (2011). Computer aided diagnosis system for Alzheimer disease using brain diffusion tensor imaging features selected by pearson's correlation. Neuroscience Letters, 502, 225-229.
-
(2011)
Neuroscience Letters
, vol.502
, pp. 225-229
-
-
Grana, M.1
Termenon, M.2
Savio, A.3
Gonzalez-Pinto, A.4
Echeveste, J.5
Perez, J.M.6
Besga, A.7
-
68
-
-
78049321639
-
Control of spatial and feature-based attention in frontoparietal cortex
-
1:CAS:528:DC%2BC3cXhsVeitrfP 3307052 20980588
-
Greenberg, A. S.; Esterman, M.; Wilson, D.; Serences, J. T.; & Yantis, S. (2010). Control of spatial and feature-based attention in frontoparietal cortex. The Journal of Neuroscience, 30, 14330-14339.
-
(2010)
The Journal of Neuroscience
, vol.30
, pp. 14330-14339
-
-
Greenberg, A.S.1
Esterman, M.2
Wilson, D.3
Serences, J.T.4
Yantis, S.5
-
69
-
-
33745561205
-
An introduction to variable and feature selection
-
Guyon, I.; & Elisseeff, A. (2003). An introduction to variable and feature selection. Journal of Machine Learning, 7(8), 1157-1182.
-
(2003)
Journal of Machine Learning
, vol.7
, Issue.8
, pp. 1157-1182
-
-
Guyon, I.1
Elisseeff, A.2
-
70
-
-
0036161259
-
Gene selection for cancer classification using support vector machines
-
Guyon, I.; Weston, J.; Barnhill, S.; & Vapnik, V. (2001). Gene selection for cancer classification using support vector machines. Machine Learning, 46, 389-422.
-
(2001)
Machine Learning
, vol.46
, pp. 389-422
-
-
Guyon, I.1
Weston, J.2
Barnhill, S.3
Vapnik, V.4
-
71
-
-
78649658554
-
Cerebral microhemorrhage and iron deposition in mild cognitive impairment: Susceptibility-weighted MR imaging assessment
-
20923870
-
Haller, S.; Bartsch, A.; Nguyen, D.; Rodriguez, C.; Emch, J.; Gold, G.; Lovblad, K. O.; & Giannakopoulos, P. (2010a). Cerebral microhemorrhage and iron deposition in mild cognitive impairment: susceptibility-weighted MR imaging assessment. Radiology, 257, 764-773.
-
(2010)
Radiology
, vol.257
, pp. 764-773
-
-
Haller, S.1
Bartsch, A.2
Nguyen, D.3
Rodriguez, C.4
Emch, J.5
Gold, G.6
Lovblad, K.O.7
Giannakopoulos, P.8
-
72
-
-
78650630759
-
Individual prediction of cognitive decline in mild cognitive impairment using support vector machine-based analysis of diffusion tensor imaging data
-
20847435
-
Haller, S.; Nguyen, D.; Rodriguez, C.; Emch, J.; Gold, G.; Bartsch, A.; Lovblad, K. O.; & Giannakopoulos, P. (2010b). Individual prediction of cognitive decline in mild cognitive impairment using support vector machine-based analysis of diffusion tensor imaging data. Journal of Alzheimer's disease, 22, 315-327.
-
(2010)
Journal of Alzheimer's Disease
, vol.22
, pp. 315-327
-
-
Haller, S.1
Nguyen, D.2
Rodriguez, C.3
Emch, J.4
Gold, G.5
Bartsch, A.6
Lovblad, K.O.7
Giannakopoulos, P.8
-
73
-
-
0032780031
-
Generalizable patterns in neuroimaging: How many principal components?
-
1:STN:280:DyaK1M3mtlarsg%3D%3D 10329293
-
Hansen, L. K.; Larsen, J.; Nielsen, F. Ã.; Strother, S. C.; Rostrup, E.; Savoy, R.; Lange, N.; Sidtis, J.; Svarer, C.; & Paulson, O. B. (1999). Generalizable patterns in neuroimaging: How many principal components? NeuroImage, 9, 534-544.
-
(1999)
NeuroImage
, vol.9
, pp. 534-544
-
-
Hansen, L.K.1
Larsen, J.2
Nielsen, F.3
Strother, S.C.4
Rostrup, E.5
Savoy, R.6
Lange, N.7
Sidtis, J.8
Svarer, C.9
Paulson, O.B.10
-
74
-
-
38649096007
-
Brain reading using full brain support vector machines for object recognition: There is no "face" identification area
-
18047411
-
Hanson, S. J.; & Halchenko, Y. O. (2008). Brain reading using full brain support vector machines for object recognition: there is no "face" identification area. Neural Computation, 20, 486-503.
-
(2008)
Neural Computation
, vol.20
, pp. 486-503
-
-
Hanson, S.J.1
Halchenko, Y.O.2
-
75
-
-
17844361888
-
Predicting the orientation of invisible stimuli from activity in human primary visual cortex
-
1:CAS:528:DC%2BD2MXjsFyktLs%3D 15852013
-
Haynes, J.-D.; & Rees, G. (2005). Predicting the orientation of invisible stimuli from activity in human primary visual cortex. Nature Neuroscience, 8, 686-691.
-
(2005)
Nature Neuroscience
, vol.8
, pp. 686-691
-
-
Haynes, J.-D.1
Rees, G.2
-
76
-
-
55949088772
-
Model optimizing and feature selecting for support vector regression in time series forecasting
-
He, W.; Wang, Z.; & Jiang, H. (2008). Model optimizing and feature selecting for support vector regression in time series forecasting. Neurocomputing Machine Learning for Signal Processing (MLSP 2006)/Life System Modelling, Simulation, and Bio-inspired Computing (LSMS 2007), 72, 600-611.
-
(2008)
Neurocomputing Machine Learning for Signal Processing (MLSP 2006)/Life System Modelling, Simulation, and Bio-inspired Computing (LSMS 2007)
, vol.72
, pp. 600-611
-
-
He, W.1
Wang, Z.2
Jiang, H.3
-
77
-
-
67949103436
-
Spatially augmented LPboosting for AD classification with evaluations on the ADNI dataset
-
2773131 19481161
-
Hinrichs, C.; Singh, V.; Mukherjee, L.; Xu, G.; Chung, M. K.; & Johnson, S. C. (2009). Spatially augmented LPboosting for AD classification with evaluations on the ADNI dataset. NeuroImage, 48, 138-149.
-
(2009)
NeuroImage
, vol.48
, pp. 138-149
-
-
Hinrichs, C.1
Singh, V.2
Mukherjee, L.3
Xu, G.4
Chung, M.K.5
Johnson, S.C.6
-
78
-
-
79952333733
-
Neuroanatomical differences in toddler boys with fragile x syndrome and idiopathic autism
-
21041609
-
Hoeft, F.; Walter, E.; Lightbody, A. A.; Hazlett, H. C.; Chang, C.; Piven, J.; & Reiss, A. L. (2011). Neuroanatomical differences in toddler boys with fragile x syndrome and idiopathic autism. Archives Of General Psychiatry, 68, 295-305.
-
(2011)
Archives of General Psychiatry
, vol.68
, pp. 295-305
-
-
Hoeft, F.1
Walter, E.2
Lightbody, A.A.3
Hazlett, H.C.4
Chang, C.5
Piven, J.6
Reiss, A.L.7
-
79
-
-
54549099006
-
Performance of feature-selection methods in the classification of high-dimension data
-
Hua, T. W.; & Dougherty, E. (2009). Performance of feature-selection methods in the classification of high-dimension data. Pattern Recognition, 42, 409-424.
-
(2009)
Pattern Recognition
, vol.42
, pp. 409-424
-
-
Hua, T.W.1
Dougherty, E.2
-
80
-
-
61849108248
-
Selection of spectro-temporal patterns in multichannel MEG with support vector machines for schizophrenia classification
-
Ince, N. F.; Goksu, F.; Pellizzer, G.; Tewfik, A.; and Stephane, M. (2008). Selection of spectro-temporal patterns in multichannel MEG with support vector machines for schizophrenia classification. Paper presented at: Engineering in Medicine and Biology Society, 2008.
-
(2008)
Engineering in Medicine and Biology Society
-
-
Ince, N.F.1
Goksu, F.2
Pellizzer, G.3
Tewfik, A.4
Stephane, M.5
-
81
-
-
79959758552
-
Diffusion based abnormality markers of pathology: Toward learned diagnostic prediction of ASD
-
3152443 21609768
-
Ingalhalikar, M.; Parker, D.; Bloy, L.; Roberts, T. P. L.; & Verma, R. (2011). Diffusion based abnormality markers of pathology: toward learned diagnostic prediction of ASD. NeuroImage, 57, 918-927.
-
(2011)
NeuroImage
, vol.57
, pp. 918-927
-
-
Ingalhalikar, M.1
Parker, D.2
Bloy, L.3
Roberts, T.P.L.4
Verma, R.5
-
83
-
-
84890860089
-
Predictive classification of individual magnetic resonance imaging scans from children and adolescents
-
Johnston, B.; Mwangi, B.; Matthews, K.; Coghill, D.; and Steele, J. (2012). Predictive classification of individual magnetic resonance imaging scans from children and adolescents. European Child & Adolescent Psychiatry (Springer Berlin/Heidelberg), pp. 1-12.
-
(2012)
European Child & Adolescent Psychiatry (Springer Berlin/Heidelberg)
, pp. 1-12
-
-
Johnston, B.1
Mwangi, B.2
Matthews, K.3
Coghill, D.4
Steele, J.5
-
85
-
-
0036331125
-
The quantitative evaluation of functional neuroimaging experiments: Mutual information learning curves
-
1:STN:280:DC%2BD387nsFSmug%3D%3D 11906219
-
Kjems, U.; Hansen, L. K.; Anderson, J.; Frutiger, S.; Muley, S.; Sidtis, J.; Rottenberg, D.; & Strother, S. (2002). The quantitative evaluation of functional neuroimaging experiments: Mutual information learning curves. NeuroImage, 15, 772-786.
-
(2002)
NeuroImage
, vol.15
, pp. 772-786
-
-
Kjems, U.1
Hansen, L.K.2
Anderson, J.3
Frutiger, S.4
Muley, S.5
Sidtis, J.6
Rottenberg, D.7
Strother, S.8
-
86
-
-
39749191312
-
Automatic classification of MR scans in Alzheimer's disease
-
Kloppel, S.; Stonnington, C.; Chu, C.; Draganski, B.; Scahill, R.; Rohrer, J.; Fox, N.; Jack, C.; Jr.; Ashburner, J.; & Frackowiak, R. (2008). Automatic classification of MR scans in Alzheimer's disease. Brain: A Journal of Neurology, 131, 681-689.
-
(2008)
Brain: A Journal of Neurology
, vol.131
, pp. 681-689
-
-
Kloppel, S.1
Stonnington, C.2
Chu, C.3
Draganski, B.4
Scahill, R.5
Rohrer, J.6
Fox, N.7
Jack, Jr.C.8
Ashburner, J.9
Frackowiak, R.10
-
87
-
-
84864857129
-
Predicting temporal lobe volume on MRI from genotypes using L1-L 2regularized regression
-
Kohannim, O.; Hibar, D.; Jahanshad, N.; Stein, J.; Hua, X.; Toga, A.; Jack, C.; Weinen, M.; and Thompson, P. (2012a). Predicting temporal lobe volume on MRI from genotypes using L1-L 2regularized regression. Paper presented at: Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on (IEEE).
-
(2012)
Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on (IEEE)
-
-
Kohannim, O.1
Hibar, D.2
Jahanshad, N.3
Stein, J.4
Hua, X.5
Toga, A.6
Jack, C.7
Weinen, M.8
Thompson, P.9
-
88
-
-
84866491087
-
Discovery and replication of gene influences on brain structure using LASSO regression
-
Kohannim, O.; Hibar, D. P.; Stein, J. L.; Jahanshad, N.; Hua, X.; Rajagopalan, P.; Toga, A. W.; Jack, C. R.; Jr.; Weiner, M. W.; & de Zubicaray, G. I. (2012b). Discovery and replication of gene influences on brain structure using LASSO regression. Frontiers in Neuroscience, 6.
-
(2012)
Frontiers in Neuroscience
, vol.6
-
-
Kohannim, O.1
Hibar, D.P.2
Stein, J.L.3
Jahanshad, N.4
Hua, X.5
Rajagopalan, P.6
Toga, A.W.7
Jack Jr., C.R.8
Weiner, M.W.9
De Zubicaray, G.I.10
-
89
-
-
0031381525
-
Wrappers for feature subset selection
-
Kohavi, R.; & John, G. (1997). Wrappers for feature subset selection. Artificial Intelligence, 97, 1-2.
-
(1997)
Artificial Intelligence
, vol.97
, pp. 1-2
-
-
Kohavi, R.1
John, G.2
-
90
-
-
67650457029
-
Use of neuroanatomical pattern classification to identify subjects in at-risk mental states of psychosis and predict disease transition
-
19581561
-
Koutsouleris, N.; Meisenzahl, E. M.; Davatzikos, C.; Bottlender, R.; Frodl, T.; Scheuerecker, J.; Schmitt, G.; Zetzsche, T.; Decker, P.; Reiser, M.; et al. (2009). Use of neuroanatomical pattern classification to identify subjects in at-risk mental states of psychosis and predict disease transition. Archives of General Psychiatry, 66, 700-712.
-
(2009)
Archives of General Psychiatry
, vol.66
, pp. 700-712
-
-
Koutsouleris, N.1
Meisenzahl, E.M.2
Davatzikos, C.3
Bottlender, R.4
Frodl, T.5
Scheuerecker, J.6
Schmitt, G.7
Zetzsche, T.8
Decker, P.9
Reiser, M.10
-
91
-
-
0242583983
-
Detection of structural differences between the brains of schizophrenic patients and controls
-
14623069
-
Kovalev, V. A.; Petrou, M.; & Suckling, J. (2003). Detection of structural differences between the brains of schizophrenic patients and controls. Psychiatry Research: Neuroimaging, 124, 177-189.
-
(2003)
Psychiatry Research: Neuroimaging
, vol.124
, pp. 177-189
-
-
Kovalev, V.A.1
Petrou, M.2
Suckling, J.3
-
92
-
-
33644870032
-
Information-based functional brain mapping
-
1:CAS:528:DC%2BD28XivFWisbw%3D 1383651 16537458
-
Kriegeskorte, N.; Goebel, R.; & Bandettini, P. (2006). Information-based functional brain mapping. Proceedings of the National Academy of Sciences of the United States of America, 103, 3863-3868.
-
(2006)
Proceedings of the National Academy of Sciences of the United States of America
, vol.103
, pp. 3863-3868
-
-
Kriegeskorte, N.1
Goebel, R.2
Bandettini, P.3
-
93
-
-
67649135107
-
Circular analysis in systems neuroscience: The dangers of double dipping
-
1:CAS:528:DC%2BD1MXltValt7g%3D 2841687 19396166
-
Kriegeskorte, N.; Simmons, W. K.; Bellgowan, P. S. F.; & Baker, C. I. (2009). Circular analysis in systems neuroscience: the dangers of double dipping. Nature Neuroscience, 12, 535-540.
-
(2009)
Nature Neuroscience
, vol.12
, pp. 535-540
-
-
Kriegeskorte, N.1
Simmons, W.K.2
Bellgowan, P.S.F.3
Baker, C.I.4
-
94
-
-
77956268108
-
Everything you never wanted to know about circular analysis, but were afraid to ask
-
Kriegeskorte, N.; Lindquist, M. A.; Nichols, T. E.; Poldrack, R. A.; & Vul, E. (2010). Everything you never wanted to know about circular analysis, but were afraid to ask. Journal of Cerebral Blood Flow & Metabolism, 30, 1551-1557.
-
(2010)
Journal of Cerebral Blood Flow & Metabolism
, vol.30
, pp. 1551-1557
-
-
Kriegeskorte, N.1
Lindquist, M.A.2
Nichols, T.E.3
Poldrack, R.A.4
Vul, E.5
-
95
-
-
79955023796
-
Partial Least Squares (PLS) methods for neuroimaging: A tutorial and review
-
20656037
-
Krishnan, A.; Williams, L. J.; McIntosh, A. R.; & Abdi, H. (2011). Partial Least Squares (PLS) methods for neuroimaging: A tutorial and review. NeuroImage, 56, 455-475.
-
(2011)
NeuroImage
, vol.56
, pp. 455-475
-
-
Krishnan, A.1
Williams, L.J.2
McIntosh, A.R.3
Abdi, H.4
-
96
-
-
9244258603
-
The pre-image problem in kernel methods
-
Kwok, J. T. Y.; & Tsang, I. W. H. (2004). The pre-image problem in kernel methods. Neural Networks, IEEE Transactions, 15, 1517-1525.
-
(2004)
Neural Networks, IEEE Transactions
, vol.15
, pp. 1517-1525
-
-
Kwok, J.T.Y.1
Tsang, I.W.H.2
-
97
-
-
19344370474
-
Support vector machines for temporal classification of block design fMRI data
-
15907293
-
LaConte, S.; Strother, S.; Cherkassky, V.; Anderson, J.; & Hu, X. (2005). Support vector machines for temporal classification of block design fMRI data. NeuroImage, 26, 317.
-
(2005)
NeuroImage
, vol.26
, pp. 317
-
-
Laconte, S.1
Strother, S.2
Cherkassky, V.3
Anderson, J.4
Hu, X.5
-
98
-
-
18544390550
-
BrainMap: The social evolution of a functional neuroimaging database
-
15897617
-
Laird, A.; Lancaster, J.; & Fox, P. (2005a). BrainMap: the social evolution of a functional neuroimaging database. Neuroinformatics, 3, 65-78.
-
(2005)
Neuroinformatics
, vol.3
, pp. 65-78
-
-
Laird, A.1
Lancaster, J.2
Fox, P.3
-
99
-
-
18544387949
-
A comparison of label-based review and ALE meta-analysis in the Stroop task
-
15846823
-
Laird, A. R.; McMillan, K. M.; Lancaster, J. L.; Kochunov, P.; Turkeltaub, P. E.; Pardo, J. V.; & Fox, P. T. (2005b). A comparison of label-based review and ALE meta-analysis in the Stroop task. Human Brain Mapping, 25, 6-21.
-
(2005)
Human Brain Mapping
, vol.25
, pp. 6-21
-
-
Laird, A.R.1
McMillan, K.M.2
Lancaster, J.L.3
Kochunov, P.4
Turkeltaub, P.E.5
Pardo, J.V.6
Fox, P.T.7
-
100
-
-
79955009105
-
Detecting stable distributed patterns of brain activation using Gini contrast
-
3960973 20709176
-
Langs, G.; Menze, B. H.; Lashkari, D.; & Golland, P. (2011). Detecting stable distributed patterns of brain activation using Gini contrast. NeuroImage, 56, 497-507.
-
(2011)
NeuroImage
, vol.56
, pp. 497-507
-
-
Langs, G.1
Menze, B.H.2
Lashkari, D.3
Golland, P.4
-
102
-
-
84877826499
-
Disorder-specific predictive classification of adolescents with Attention Deficit Hyperactivity Disorder (ADHD) relative to autism using structural magnetic resonance imaging
-
1:CAS:528:DC%2BC3sXosFGjs7g%3D 3656087 23696841
-
Lim, L.; Marquand, A.; Cubillo, A. A.; Smith, A. B.; Chantiluke, K.; Simmons, A.; Mehta, M.; & Rubia, K. (2013). Disorder-specific predictive classification of adolescents with Attention Deficit Hyperactivity Disorder (ADHD) relative to autism using structural magnetic resonance imaging. PLOS ONE, 8, e63660.
-
(2013)
PLOS ONE
, vol.8
, pp. 63660
-
-
Lim, L.1
Marquand, A.2
Cubillo, A.A.3
Smith, A.B.4
Chantiluke, K.5
Simmons, A.6
Mehta, M.7
Rubia, K.8
-
103
-
-
84855732200
-
The challenges and promise of neuroimaging in psychiatry
-
1:CAS:528:DC%2BC38XosFCnsw%3D%3D 22243743
-
Linden, D. E. J. (2012). The challenges and promise of neuroimaging in psychiatry. Neuron, 73, 8-22.
-
(2012)
Neuron
, vol.73
, pp. 8-22
-
-
Linden, D.E.J.1
-
104
-
-
84862778147
-
Ensemble sparse classification of Alzheimer's disease
-
3303950 22270352
-
Liu, M.; Zhang, D.; & Shen, D. (2012). Ensemble sparse classification of Alzheimer's disease. NeuroImage, 60, 1106-1116.
-
(2012)
NeuroImage
, vol.60
, pp. 1106-1116
-
-
Liu, M.1
Zhang, D.2
Shen, D.3
-
105
-
-
34548525757
-
Using non-negative matrix factorization for single-trial analysis of fMRI data
-
17662621
-
Lohmann, G.; Volz, K. G.; & Ullsperger, M. (2007). Using non-negative matrix factorization for single-trial analysis of fMRI data. NeuroImage, 37, 1148-1160.
-
(2007)
NeuroImage
, vol.37
, pp. 1148-1160
-
-
Lohmann, G.1
Volz, K.G.2
Ullsperger, M.3
-
106
-
-
79952617583
-
Principal component analysis-based techniques and supervised classification schemes for the early detection of Alzheimer's disease
-
Lopez, M.; Ramirez, J.; Garriz, J.; Alvarez, I.; Salas-Gonzalez, D.; Segovia, F.; Chaves, R.; Padilla, P.; & Gomez-Rao, M. (2011). Principal component analysis-based techniques and supervised classification schemes for the early detection of Alzheimer's disease. Neurocomputing, 74, 1260-1271.
-
(2011)
Neurocomputing
, vol.74
, pp. 1260-1271
-
-
Lopez, M.1
Ramirez, J.2
Garriz, J.3
Alvarez, I.4
Salas-Gonzalez, D.5
Segovia, F.6
Chaves, R.7
Padilla, P.8
Gomez-Rao, M.9
-
107
-
-
0029941179
-
Spatial pattern analysis of functional brain images using partial least squares
-
MacIntosh, A. R.; Bookstei, F.; Haxby, J.; & Grady, C. (1996). Spatial pattern analysis of functional brain images using partial least squares. NeuroImage, 3, 143-157.
-
(1996)
NeuroImage
, vol.3
, pp. 143-157
-
-
Macintosh, A.R.1
Bookstei, F.2
Haxby, J.3
Grady, C.4
-
108
-
-
58549083944
-
Support vector machine-based classification of Alzheimer's disease from whole-brain anatomical MRI
-
18846369
-
Magnin, B.; Mesrob, L.; Kinkingnahun, S.; Palagrini-Issac, M.; Colliot, O.; Sarazin, M.; Dubois, B.; Leharicy, S.; & Benali, H. (2009). Support vector machine-based classification of Alzheimer's disease from whole-brain anatomical MRI. Neuroradiology, 51, 73-83.
-
(2009)
Neuroradiology
, vol.51
, pp. 73-83
-
-
Magnin, B.1
Mesrob, L.2
Kinkingnahun, S.3
Palagrini-Issac, M.4
Colliot, O.5
Sarazin, M.6
Dubois, B.7
Leharicy, S.8
Benali, H.9
-
109
-
-
71849092693
-
Quantitative prediction of subjective pain intensity from whole-brain fMRI data using Gaussian processes
-
19879364
-
Marquand, A.; Howard, M.; Brammer, M.; Chu, C.; Coen, S.; & Mourao-Miranda, J. (2010a). Quantitative prediction of subjective pain intensity from whole-brain fMRI data using Gaussian processes. NeuroImage, 49, 2178-2189.
-
(2010)
NeuroImage
, vol.49
, pp. 2178-2189
-
-
Marquand, A.1
Howard, M.2
Brammer, M.3
Chu, C.4
Coen, S.5
Mourao-Miranda, J.6
-
110
-
-
71849092693
-
Quantitative prediction of subjective pain intensity from whole-brain fMRI data using Gaussian processes
-
19879364
-
Marquand, A.; Howard, M.; Brammer, M.; Chu, C.; Coen, S.; & Mourao-Miranda, J. (2010b). Quantitative prediction of subjective pain intensity from whole-brain fMRI data using Gaussian processes. NeuroImage, 49, 2178-2189.
-
(2010)
NeuroImage
, vol.49
, pp. 2178-2189
-
-
Marquand, A.1
Howard, M.2
Brammer, M.3
Chu, C.4
Coen, S.5
Mourao-Miranda, J.6
-
111
-
-
79954589579
-
Pattern classification of working memory networks reveals differential effects of methylphenidate, atomoxetine, and placebo in healthy volunteers
-
1:CAS:528:DC%2BC3MXks1Wltrg%3D 3079849 21346736
-
Marquand, A. F.; De Simoni, S.; O'Daly, O. G.; Williams, S. C. R.; Mourao-Miranda, J.; & Mehta, M. A. (2011). Pattern classification of working memory networks reveals differential effects of methylphenidate, atomoxetine, and placebo in healthy volunteers. Neuropsychopharmacology, 36, 1237-1247.
-
(2011)
Neuropsychopharmacology
, vol.36
, pp. 1237-1247
-
-
Marquand, A.F.1
De Simoni, S.2
O'Daly, O.G.3
Williams, S.C.R.4
Mourao-Miranda, J.5
Mehta, M.A.6
-
112
-
-
84863406628
-
Dissociable effects of methylphenidate, atomoxetine and placebo on regional cerebral blood flow in healthy volunteers at rest: A multi-class pattern recognition approach
-
1:CAS:528:DC%2BC38Xjs1Oqu7c%3D 3314973 22266414
-
Marquand, A. F.; O'Daly, O. G.; De Simoni, S.; Alsop, D. C.; Maguire, R. P.; Williams, S. C. R.; Zelaya, F. O.; & Mehta, M. A. (2012). Dissociable effects of methylphenidate, atomoxetine and placebo on regional cerebral blood flow in healthy volunteers at rest: A multi-class pattern recognition approach. NeuroImage, 60, 1015-1024.
-
(2012)
NeuroImage
, vol.60
, pp. 1015-1024
-
-
Marquand, A.F.1
O'Daly, O.G.2
De Simoni, S.3
Alsop, D.C.4
Maguire, R.P.5
Williams, S.C.R.6
Zelaya, F.O.7
Mehta, M.A.8
-
113
-
-
3042592851
-
EEG/fMRI analysis by multiway partial least squares
-
15219575
-
Martinez-Montes, E.; Valdes-Sosa, P. A.; Miwakeichi, F.; Goldman, R. I.; & Cohen, M. S. (2004). EEG/fMRI analysis by multiway partial least squares. NeuroImage, 22, 1023-34.
-
(2004)
NeuroImage
, vol.22
, pp. 1023-1034
-
-
Martinez-Montes, E.1
Valdes-Sosa, P.A.2
Miwakeichi, F.3
Goldman, R.I.4
Cohen, M.S.5
-
114
-
-
7044249748
-
Partial least squares analysis of neuroimaging data: Applications and advances
-
McIntosh, A. R.; & Lobaugh, N. J. (2004). Partial least squares analysis of neuroimaging data: applications and advances. NeuroImage, 23, 250-263.
-
(2004)
NeuroImage
, vol.23
, pp. 250-263
-
-
McIntosh, A.R.1
Lobaugh, N.J.2
-
115
-
-
84872465552
-
Multivariate statistical analyses for neuroimaging data
-
22804773
-
McIntosh, A. R.; & Misic, B. (2013). Multivariate statistical analyses for neuroimaging data. Annual Review of Psychology, 64, 499-525.
-
(2013)
Annual Review of Psychology
, vol.64
, pp. 499-525
-
-
McIntosh, A.R.1
Misic, B.2
-
116
-
-
36749001585
-
Neurocognitive endophenotypes of obsessive-compulsive disorder
-
17855376
-
Menzies, L.; Achard, S.; Chamberlain, S. R.; Fineberg, N.; Chen, C.-H.; delCampo, N.; Sahakian, B. J.; Robbins, T. W.; & Bullmore, E. (2007). Neurocognitive endophenotypes of obsessive-compulsive disorder. Brain, 130, 3223-3236.
-
(2007)
Brain
, vol.130
, pp. 3223-3236
-
-
Menzies, L.1
Achard, S.2
Chamberlain, S.R.3
Fineberg, N.4
Chen, C.-H.5
Delcampo, N.6
Sahakian, B.J.7
Robbins, T.W.8
Bullmore, E.9
-
117
-
-
50249141900
-
Identification of Atrophy Patterns in Alzheimers Disease Based on SVM Feature Selection and Anatomical Parcellation
-
Mesrob, L.; Magnin, B.; Colliot, O.; Sarazin, M.; Hahn-Barma, V.; Dubois, B.; Gallinari, P.; Leharicy, S.; Kinkingnhun, S.; and Benali, H. (2008). Identification of Atrophy Patterns in Alzheimers Disease Based on SVM Feature Selection and Anatomical Parcellation. Medical Imaging and Augmented Reality, 5128, 124-132.
-
(2008)
Medical Imaging and Augmented Reality
, vol.5128
, pp. 124-132
-
-
Mesrob, L.1
Magnin, B.2
Colliot, O.3
Sarazin, M.4
Hahn-Barma, V.5
Dubois, B.6
Gallinari, P.7
Leharicy, S.8
Kinkingnhun, S.9
Benali, H.10
-
118
-
-
77955307443
-
Comparison of multivariate classifiers and response normalizations for pattern-information fMRI
-
2914143 20580933
-
Misaki, M.; Kim, Y.; Bandettini, P. A.; & Kriegeskorte, N. (2010). Comparison of multivariate classifiers and response normalizations for pattern-information fMRI. NeuroImage, 53, 103-118.
-
(2010)
NeuroImage
, vol.53
, pp. 103-118
-
-
Misaki, M.1
Kim, Y.2
Bandettini, P.A.3
Kriegeskorte, N.4
-
119
-
-
79961014228
-
From journal articles to computational models: A new automated tool
-
1:CAS:528:DC%2BC3MXpsFajsbo%3D 21799495
-
Mitchell, T. M. (2011). From journal articles to computational models: a new automated tool. Nature methods, 8, 627.
-
(2011)
Nature Methods
, vol.8
, pp. 627
-
-
Mitchell, T.M.1
-
120
-
-
3242802095
-
Learning to decode cognitive states from brain images
-
Mitchell, T. M.; Hutchinson, R.; Niculescu, R. S.; Pereira, F.; Wang, X.; Just, M.; & Newman, S. (2004). Learning to decode cognitive states from brain images. Machine Learning, 57, 145-175.
-
(2004)
Machine Learning
, vol.57
, pp. 145-175
-
-
Mitchell, T.M.1
Hutchinson, R.2
Niculescu, R.S.3
Pereira, F.4
Wang, X.5
Just, M.6
Newman, S.7
-
121
-
-
28244492778
-
Classifying brain states and determining the discriminating activation patterns: Support Vector Machine on functional MRI data
-
16275139
-
Mourao-Miranda, J.; Bokde, A. L. W.; Born, C.; Hampel, H.; & Stetter, M. (2005). Classifying brain states and determining the discriminating activation patterns: Support Vector Machine on functional MRI data. NeuroImage, 28, 980-995.
-
(2005)
NeuroImage
, vol.28
, pp. 980-995
-
-
Mourao-Miranda, J.1
Bokde, A.L.W.2
Born, C.3
Hampel, H.4
Stetter, M.5
-
122
-
-
33750737054
-
The impact of temporal compression and space selection on SVM analysis of single-subject and multi-subject fMRI data
-
17010645
-
Mourao-Miranda, J.; Reynaud, E.; McGlone, F.; Calvert, G.; & Brammer, M. (2006). The impact of temporal compression and space selection on SVM analysis of single-subject and multi-subject fMRI data. NeuroImage, 33, 1055-1065.
-
(2006)
NeuroImage
, vol.33
, pp. 1055-1065
-
-
Mourao-Miranda, J.1
Reynaud, E.2
McGlone, F.3
Calvert, G.4
Brammer, M.5
-
123
-
-
84857077961
-
Pattern recognition and functional neuroimaging help to discriminate healthy adolescents at risk for mood disorders from low risk adolescents
-
1:CAS:528:DC%2BC38XjtFWit7k%3D 3280237 22355302
-
Mourao-Miranda, J.; Oliveira, L.; Ladouceur, C. D.; Marquand, A.; Brammer, M.; Birmaher, B.; Axelson, D.; & Phillips, M. L. (2012). Pattern recognition and functional neuroimaging help to discriminate healthy adolescents at risk for mood disorders from low risk adolescents. Plos One, 7, e29482.
-
(2012)
Plos One
, vol.7
, pp. 29482
-
-
Mourao-Miranda, J.1
Oliveira, L.2
Ladouceur, C.D.3
Marquand, A.4
Brammer, M.5
Birmaher, B.6
Axelson, D.7
Phillips, M.L.8
-
124
-
-
84860603285
-
Multi-centre diagnostic classification of individual structural neuroimaging scans from patients with major depressive disorder
-
Mwangi, B.; Ebmeier, K.; Matthews, K.; & Douglas Steele, J. (2012a). Multi-centre diagnostic classification of individual structural neuroimaging scans from patients with major depressive disorder. Brain: A Journal of Neurology, 135, 1508-1521.
-
(2012)
Brain: A Journal of Neurology
, vol.135
, pp. 1508-1521
-
-
Mwangi, B.1
Ebmeier, K.2
Matthews, K.3
Douglas Steele, J.4
-
125
-
-
83755174702
-
Prediction of illness severity in patients with major depression using structural MR brain scans
-
21959677
-
Mwangi, B.; Matthews, K.; & Steele, J. (2012b). Prediction of illness severity in patients with major depression using structural MR brain scans. Journal of Magnetic Resonance Imaging, 35, 64-71.
-
(2012)
Journal of Magnetic Resonance Imaging
, vol.35
, pp. 64-71
-
-
Mwangi, B.1
Matthews, K.2
Steele, J.3
-
126
-
-
84875660261
-
Prediction of individual subject's age across the human lifespan using diffusion tensor imaging: A machine learning approach
-
Mwangi, B.; Hasan, K. M.; and Soares, J. C. (2013). Prediction of individual subject's age across the human lifespan using diffusion tensor imaging: A machine learning approach. NeuroImage, 75, 58-67.
-
(2013)
NeuroImage
, vol.75
, pp. 58-67
-
-
Mwangi, B.1
Hasan, K.M.2
Soares, J.C.3
-
127
-
-
0036133149
-
A new statistical method for testing hypotheses of neuropsychological/MRI relationships in schizophrenia: Partial least squares analysis
-
Nester, P. G.; O'Donnell, B. F.; Mccarley, R. W.; Niznikeiwicz, M.; Barnard, J.; Shen, Z. J.; Bookstein, F. L.; & Shenton, M. E. (2002). A new statistical method for testing hypotheses of neuropsychological/MRI relationships in schizophrenia: partial least squares analysis. Schizophrenia Research, 53, 57-66.
-
(2002)
Schizophrenia Research
, vol.53
, pp. 57-66
-
-
Nester, P.G.1
O'Donnell, B.F.2
McCarley, R.W.3
Niznikeiwicz, M.4
Barnard, J.5
Shen, Z.J.6
Bookstein, F.L.7
Shenton, M.E.8
-
128
-
-
84964937651
-
Automatic prediction of conversion from mild cognitive impairment to probable alzheimer's disease using structural magnetic resonance imaging
-
3041374 21347037
-
Nho, K.; Shen, L.; Kim, S.; Risacher, S. L.; West, J. D.; Foroud, T.; Jack, C. R.; Weiner, M. W.; & Saykin, A. J. (2010). Automatic prediction of conversion from mild cognitive impairment to probable alzheimer's disease using structural magnetic resonance imaging. AMIA Annual Symposium Proceedings/AMIA Symposium AMIA Symposium, 2010, 542-546.
-
(2010)
AMIA Annual Symposium Proceedings/AMIA Symposium AMIA Symposium
, vol.2010
, pp. 542-546
-
-
Nho, K.1
Shen, L.2
Kim, S.3
Risacher, S.L.4
West, J.D.5
Foroud, T.6
Jack, C.R.7
Weiner, M.W.8
Saykin, A.J.9
-
129
-
-
33748178966
-
Beyond mind-reading: Multi-voxel pattern analysis of fMRI data
-
16899397
-
Norman, K. A.; Polyn, S. M.; Detre, G. J.; & Haxby, J. V. (2006). Beyond mind-reading: multi-voxel pattern analysis of fMRI data. Trends in Cognitive Sciences, 10, 424-430.
-
(2006)
Trends in Cognitive Sciences
, vol.10
, pp. 424-430
-
-
Norman, K.A.1
Polyn, S.M.2
Detre, G.J.3
Haxby, J.V.4
-
130
-
-
84863316272
-
Genomic selection using regularized linear regression models: Ridge regression, lasso, elastic net and their extensions
-
Ogutu, J. O.; Schulz-Streeck, T.; and Piepho, H. P. (2012). Genomic selection using regularized linear regression models: ridge regression, lasso, elastic net and their extensions. Paper presented at: BMC proceedings (Springer).
-
(2012)
BMC Proceedings (Springer)
-
-
Ogutu, J.O.1
Schulz-Streeck, T.2
Piepho, H.P.3
-
131
-
-
84857000430
-
Using support vector machine to identify imaging biomarkers of neurological and psychiatric disease: A critical review
-
22305994
-
Orru, G.; Pettersson-Yeo, W.; Marquand, A. F.; Sartori, G.; & Mechelli, A. (2012). Using support vector machine to identify imaging biomarkers of neurological and psychiatric disease: A critical review. Neuroscience And Biobehavioral Reviews, 36, 1140-1152.
-
(2012)
Neuroscience and Biobehavioral Reviews
, vol.36
, pp. 1140-1152
-
-
Orru, G.1
Pettersson-Yeo, W.2
Marquand, A.F.3
Sartori, G.4
Mechelli, A.5
-
134
-
-
72149097061
-
A principal component network analysis of prefrontal-limbic functional magnetic resonance imaging time series in schizophrenia patients and healthy controls
-
2788080 19880294
-
Radulescu, A. R.; & Mujica-Parodi, L. R. (2009). A principal component network analysis of prefrontal-limbic functional magnetic resonance imaging time series in schizophrenia patients and healthy controls. Psychiatry Research, 174, 184-194.
-
(2009)
Psychiatry Research
, vol.174
, pp. 184-194
-
-
Radulescu, A.R.1
Mujica-Parodi, L.R.2
-
135
-
-
84055200190
-
Classification of Alzheimer's Disease from structural MRI using sparse logistic regression with optional spatial regularization
-
Rao, A.; Lee, Y.; Gass, A.; and Monsch, A. (2011). Classification of Alzheimer's Disease from structural MRI using sparse logistic regression with optional spatial regularization. Paper presented at: Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE (IEEE).
-
(2011)
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE (IEEE)
-
-
Rao, A.1
Lee, Y.2
Gass, A.3
Monsch, A.4
-
137
-
-
79952056311
-
Visualization of nonlinear kernel models in neuroimaging by sensitivity maps
-
21168511
-
Rasmussen, P. M.; Madsen, K. H.; Lund, T. E.; & Hansen, L. K. (2011). Visualization of nonlinear kernel models in neuroimaging by sensitivity maps. NeuroImage, 55, 1120-1131.
-
(2011)
NeuroImage
, vol.55
, pp. 1120-1131
-
-
Rasmussen, P.M.1
Madsen, K.H.2
Lund, T.E.3
Hansen, L.K.4
-
138
-
-
84857766300
-
Nonlinear denoising and analysis of neuroimages with kernel principal component analysis and pre-image estimation
-
22305952
-
Rasmussen, P. M.; Abrahamsen, T. J.; Madsen, K. H.; & Hansen, L. K. (2012). Nonlinear denoising and analysis of neuroimages with kernel principal component analysis and pre-image estimation. NeuroImage, 60, 1807-1818.
-
(2012)
NeuroImage
, vol.60
, pp. 1807-1818
-
-
Rasmussen, P.M.1
Abrahamsen, T.J.2
Madsen, K.H.3
Hansen, L.K.4
-
139
-
-
78249245401
-
Sparse regression models of pain perception
-
Rish, I.; Cecchi, G.; Baliki, M.; & Apkarian, A. (2010). Sparse regression models of pain perception. Brain Informatics, 212-223.
-
(2010)
Brain Informatics
, pp. 212-223
-
-
Rish, I.1
Cecchi, G.2
Baliki, M.3
Apkarian, A.4
-
140
-
-
79955003349
-
Evaluating imaging biomarkers for neurodegeneration in pre-symptomatic Huntington's disease using machine learning techniques
-
20451620
-
Rizk-Jackson, A.; Stoffers, D.; Sheldon, S.; Kuperman, J.; Dale, A.; Goldstein, J.; Corey-Bloom, J.; Poldrack, R. A.; & Aron, A. R. (2011). Evaluating imaging biomarkers for neurodegeneration in pre-symptomatic Huntington's disease using machine learning techniques. NeuroImage, 56, 788-796.
-
(2011)
NeuroImage
, vol.56
, pp. 788-796
-
-
Rizk-Jackson, A.1
Stoffers, D.2
Sheldon, S.3
Kuperman, J.4
Dale, A.5
Goldstein, J.6
Corey-Bloom, J.7
Poldrack, R.A.8
Aron, A.R.9
-
141
-
-
77951976541
-
Sparse logistic regression for whole brain classification of fMRI data
-
2856747 20188193
-
Ryali, S.; Supekar, K.; Abrams, D. A.; & Menon, V. (2010). Sparse logistic regression for whole brain classification of fMRI data. NeuroImage, 51, 752.
-
(2010)
NeuroImage
, vol.51
, pp. 752
-
-
Ryali, S.1
Supekar, K.2
Abrams, D.A.3
Menon, V.4
-
142
-
-
35748932917
-
A review of feature selection techniques in bioinformatics
-
Saeys, Y.; Inza, I.; and Larranaga, P. (2007). A review of feature selection techniques in bioinformatics. Bioinformatics, 23(19), 2507-2517.
-
(2007)
Bioinformatics
, vol.23
, Issue.19
, pp. 2507-2517
-
-
Saeys, Y.1
Inza, I.2
Larranaga, P.3
-
143
-
-
61449255924
-
Meta-analysis of neuroimaging data: A comparison of image-based and coordinate-based pooling of studies
-
19166944
-
Salimi-Khorshidi, G.; Smith, S. M.; Keltner, J. R.; Wager, T. D.; & Nichols, T. E. (2009). Meta-analysis of neuroimaging data: a comparison of image-based and coordinate-based pooling of studies. NeuroImage, 45, 810-823.
-
(2009)
NeuroImage
, vol.45
, pp. 810-823
-
-
Salimi-Khorshidi, G.1
Smith, S.M.2
Keltner, J.R.3
Wager, T.D.4
Nichols, T.E.5
-
144
-
-
84865979899
-
Evaluation of pattern recognition and feature extraction methods in ADHD prediction
-
doi: 10.3389/fnsys.2012.00068
-
Sato, J. R.; Hoexter, M. Q.; Fujita, A.; and Rohde, L. A. (2012). Evaluation of pattern recognition and feature extraction methods in ADHD prediction. Frontiers in Systems Neuroscience, 6(68). doi: 10.3389/fnsys.2012. 00068.
-
(2012)
Frontiers in Systems Neuroscience
, vol.6
, Issue.68
-
-
Sato, J.R.1
Hoexter, M.Q.2
Fujita, A.3
Rohde, L.A.4
-
145
-
-
0003408420
-
-
MIT Press Cambridge
-
Scholkopf, B.; & Smola, A. (2002). Learning with Kernels: Support vector machines, regularization, optimization, and beyond. Cambridge: MIT Press.
-
(2002)
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and beyond
-
-
Scholkopf, B.1
Smola, A.2
-
146
-
-
84881091929
-
PRoNTo: Pattern Recognition for Neuroimaging Toolbox
-
doi: 10.1007/s12021-013-9178-1
-
Schrouff, J.; Rosa, M. J.; Rondina, J.; Marquand, A.; Chu, C.; Ashburner, J.; Phillips, C.; Richiardi, J.; and Mourao-Miranda, J. (2013). PRoNTo: Pattern Recognition for Neuroimaging Toolbox. Neuroinformatics, 11(3), 319-339. doi: 10.1007/s12021-013-9178-1.
-
(2013)
Neuroinformatics
, vol.11
, Issue.3
, pp. 319-339
-
-
Schrouff, J.1
Rosa, M.J.2
Rondina, J.3
Marquand, A.4
Chu, C.5
Ashburner, J.6
Phillips, C.7
Richiardi, J.8
Mourao-Miranda, J.9
-
148
-
-
80053507390
-
Identifying neuroimaging and proteomic biomarkers for MCI and AD via the elastic net
-
Shen, L.; Kim, S.; Qi, Y.; Inlow, M.; Swaminathan, S.; Nho, K.; Wan, J.; Risacher, S.; Shaw, L.; and Trojanowski, J. (2011). Identifying neuroimaging and proteomic biomarkers for MCI and AD via the elastic net. Multimodal Brain Image Analysis, 7012, 27-34.
-
(2011)
Multimodal Brain Image Analysis
, vol.7012
, pp. 27-34
-
-
Shen, L.1
Kim, S.2
Qi, Y.3
Inlow, M.4
Swaminathan, S.5
Nho, K.6
Wan, J.7
Risacher, S.8
Shaw, L.9
Trojanowski, J.10
-
150
-
-
38049013701
-
Detecting disease-causing genes by LASSO-Patternsearch algorithm
-
(BioMed Central Ltd)
-
Shi, W.; Lee, K. E.; and Wahba, G. (2007). Detecting disease-causing genes by LASSO-Patternsearch algorithm. Paper presented at: BMC proceedings, (BioMed Central Ltd).
-
(2007)
BMC Proceedings
-
-
Shi, W.1
Lee, K.E.2
Wahba, G.3
-
151
-
-
84867707087
-
Kernel principal component analysis for dimensionality reduction in fMRI-based diagnosis of ADHD
-
3494168 23162439
-
Sidhu, G. S.; Asgarian, N.; Greiner, R.; & Brown, M. R. G. (2012). Kernel principal component analysis for dimensionality reduction in fMRI-based diagnosis of ADHD. Frontiers in Systems Neuroscience, 6, 74.
-
(2012)
Frontiers in Systems Neuroscience
, vol.6
, pp. 74
-
-
Sidhu, G.S.1
Asgarian, N.2
Greiner, R.3
Brown, M.R.G.4
-
153
-
-
77952888499
-
Predicting clinical scores from magnetic resonance scans in Alzheimer's disease
-
2871976 20347044
-
Stonnington, C. M.; Chu, C.; Kloppel, S.; Jack, C. R.; Jr.; Ashburner, J.; & Frackowiak, R. S. J. (2010). Predicting clinical scores from magnetic resonance scans in Alzheimer's disease. NeuroImage, 51, 1405-1413.
-
(2010)
NeuroImage
, vol.51
, pp. 1405-1413
-
-
Stonnington, C.M.1
Chu, C.2
Kloppel, S.3
Jack, Jr.C.R.4
Ashburner, J.5
Frackowiak, R.S.J.6
-
154
-
-
0036338502
-
The quantitative evaluation of functional neuroimaging experiments: The NPAIRS data analysis framework
-
11906218
-
Strother, S. C.; Anderson, J.; Hansen, L. K.; Kjems, U.; Kustra, R.; Sidtis, J.; Frutiger, S.; Muley, S.; LaConte, S.; & Rottenberg, D. (2002). The quantitative evaluation of functional neuroimaging experiments: The NPAIRS data analysis framework. NeuroImage, 15, 747-771.
-
(2002)
NeuroImage
, vol.15
, pp. 747-771
-
-
Strother, S.C.1
Anderson, J.2
Hansen, L.K.3
Kjems, U.4
Kustra, R.5
Sidtis, J.6
Frutiger, S.7
Muley, S.8
Laconte, S.9
Rottenberg, D.10
-
155
-
-
84855185464
-
A review of multivariate methods for multimodal fusion of brain imaging data
-
3690333 22108139
-
Sui, J.; Adali, T.; Yu, Q.; Chen, J.; & Calhoun, V. D. (2012). A review of multivariate methods for multimodal fusion of brain imaging data. Journal of Neuroscience Methods, 204, 68-81.
-
(2012)
Journal of Neuroscience Methods
, vol.204
, pp. 68-81
-
-
Sui, J.1
Adali, T.2
Yu, Q.3
Chen, J.4
Calhoun, V.D.5
-
156
-
-
84864413510
-
Automatic sleep staging using fMRI functional connectivity data
-
Tagliazucchi, E.; von Wegner, F.; Morzelewski, A.; Borisov, S.; Jahnke, K.; and Laufs, H. (2012). Automatic sleep staging using fMRI functional connectivity data. Neuroimage, 63(1) 63-72.
-
(2012)
Neuroimage
, vol.63
, Issue.1
, pp. 63-72
-
-
Tagliazucchi, E.1
Von Wegner, F.2
Morzelewski, A.3
Borisov, S.4
Jahnke, K.5
Laufs, H.6
-
158
-
-
0141646497
-
Dynamical components analysis of fMRI data through kernel PCA
-
14527568
-
Thirion, B.; & Faugeras, O. (2003). Dynamical components analysis of fMRI data through kernel PCA. NeuroImage, 20, 34-49.
-
(2003)
NeuroImage
, vol.20
, pp. 34-49
-
-
Thirion, B.1
Faugeras, O.2
-
161
-
-
0001224048
-
Sparse Bayesian Learning and the relevance vector machine
-
Tipping, M. (2001). Sparse Bayesian Learning and the relevance vector machine. J ournal of Machine Learning Research, 1(211), 244.
-
(2001)
J Ournal of Machine Learning Research
, vol.1
, Issue.211
, pp. 244
-
-
Tipping, M.1
-
162
-
-
84866173660
-
Resting state FDG-PET functional connectivity as an early biomarker of Alzheimer's disease using conjoint univariate and independent component analyses
-
Toussaint, P. J.; Perlbarg, V.; Bellec, P.; Desarnaud, S.; Lacomblez, L.; Doyon, J.; Habert, M. O.; and Benali, H. (2012). Resting state FDG-PET functional connectivity as an early biomarker of Alzheimer's disease using conjoint univariate and independent component analyses. NeuroImage, 63(2) 936-946.
-
(2012)
NeuroImage
, vol.63
, Issue.2
, pp. 936-946
-
-
Toussaint, P.J.1
Perlbarg, V.2
Bellec, P.3
Desarnaud, S.4
Lacomblez, L.5
Doyon, J.6
Habert, M.O.7
Benali, H.8
-
163
-
-
60349101047
-
Block-coordinate gradient descent method for linearly constrained nonsmooth separable optimization
-
Tseng, P.; & Yun, S. (2009). Block-coordinate gradient descent method for linearly constrained nonsmooth separable optimization. Journal of optimization theory and applications, 140, 513-535.
-
(2009)
Journal of Optimization Theory and Applications
, vol.140
, pp. 513-535
-
-
Tseng, P.1
Yun, S.2
-
164
-
-
79954988208
-
Predicting subject-driven actions and sensory experience in a virtual world with Relevance Vector Machine Regression of fMRI data
-
20888922
-
Valente, G.; De Martino, F.; Esposito, F.; Goebel, R.; & Formisano, E. (2011). Predicting subject-driven actions and sensory experience in a virtual world with Relevance Vector Machine Regression of fMRI data. NeuroImage, 56, 651-661.
-
(2011)
NeuroImage
, vol.56
, pp. 651-661
-
-
Valente, G.1
De Martino, F.2
Esposito, F.3
Goebel, R.4
Formisano, E.5
-
165
-
-
83055168547
-
Brain decoding: Opportunities and challenges for pattern recognition
-
Van De Ville, D.; & Lee, S.-W. (2012). Brain decoding: Opportunities and challenges for pattern recognition. Pattern Recognition Brain Decoding, 45, 2033-2034.
-
(2012)
Pattern Recognition Brain Decoding
, vol.45
, pp. 2033-2034
-
-
Van De Ville, D.1
Lee, S.-W.2
-
167
-
-
84856108049
-
Sparse reduced-rank regression detects genetic associations with voxel-wise longitudinal phenotypes in Alzheimer's disease
-
Vounou, M.; Janousova, E.; Wolz, R.; Stein, J. L.; Thompson, P. M.; Rueckert, D.; and Montana, G. (2011). Sparse reduced-rank regression detects genetic associations with voxel-wise longitudinal phenotypes in Alzheimer's disease. Neuroimage, 60(1) 700-716.
-
(2011)
Neuroimage
, vol.60
, Issue.1
, pp. 700-716
-
-
Vounou, M.1
Janousova, E.2
Wolz, R.3
Stein, J.L.4
Thompson, P.M.5
Rueckert, D.6
Montana, G.7
-
168
-
-
35948992729
-
Meta-analysis of functional neuroimaging data: Current and future directions
-
2555451 18985131
-
Wager, T. D.; Lindquist, M.; & Kaplan, L. (2007). Meta-analysis of functional neuroimaging data: current and future directions. Social Cognitive and Affective Neuroscience, 2, 150-158.
-
(2007)
Social Cognitive and Affective Neuroscience
, vol.2
, pp. 150-158
-
-
Wager, T.D.1
Lindquist, M.2
Kaplan, L.3
-
169
-
-
82255183616
-
Hippocampal surface mapping of genetic risk factors in AD via sparse learning models
-
Wan, J.; Kim, S.; Inlow, M.; Nho, K.; Swaminathan, S.; Risacher, S.; Fang, S.; Weiner, M.; Beg, M.; & Wang, L. (2011). Hippocampal surface mapping of genetic risk factors in AD via sparse learning models. Medical Image Computing and Computer-Assisted Intervention, MICCAI, 2011, 376-383.
-
(2011)
Medical Image Computing and Computer-Assisted Intervention, MICCAI
, vol.2011
, pp. 376-383
-
-
Wan, J.1
Kim, S.2
Inlow, M.3
Nho, K.4
Swaminathan, S.5
Risacher, S.6
Fang, S.7
Weiner, M.8
Beg, M.9
Wang, L.10
-
170
-
-
77950588524
-
High-dimensional pattern regression using machine learning: From medical images to continuous clinical variables
-
2839056 20056158
-
Wang, Y.; Fan, Y.; Bhatt, P.; & Davatzikos, C. (2010). High-dimensional pattern regression using machine learning: from medical images to continuous clinical variables. NeuroImage, 50, 1519-1535.
-
(2010)
NeuroImage
, vol.50
, pp. 1519-1535
-
-
Wang, Y.1
Fan, Y.2
Bhatt, P.3
Davatzikos, C.4
-
171
-
-
80053424864
-
Discriminative analysis of resting-state brain functional connectivity patterns of Attention-Deficit Hyperactivity Disorder using Kernel Principal Component Analysis
-
2011 Eighth International Conference on (IEEE)
-
Wang, X.; Jiao, Y.; and Lu, Z. (2011). Discriminative analysis of resting-state brain functional connectivity patterns of Attention-Deficit Hyperactivity Disorder using Kernel Principal Component Analysis. Paper presented at: Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on (IEEE).
-
(2011)
Fuzzy Systems and Knowledge Discovery (FSKD)
-
-
Wang, X.1
Jiao, Y.2
Lu, Z.3
-
172
-
-
78650237923
-
Enriched white matter connectivity networks for accurate identification of MCI patients
-
3008336 20970508
-
Wee, C.-Y.; Yap, P.-T.; Li, W.; Denny, K.; Browndyke, J. N.; Potter, G. G.; Welsh-Bohmer, K. A.; Wang, L.; & Shen, D. (2011). Enriched white matter connectivity networks for accurate identification of MCI patients. NeuroImage, 54, 1812-1822.
-
(2011)
NeuroImage
, vol.54
, pp. 1812-1822
-
-
Wee, C.-Y.1
Yap, P.-T.2
Li, W.3
Denny, K.4
Browndyke, J.N.5
Potter, G.G.6
Welsh-Bohmer, K.A.7
Wang, L.8
Shen, D.9
-
173
-
-
84855453290
-
Identification of MCI individuals using structural and functional connectivity networks
-
3254811 22019883
-
Wee, C.-Y.; Yap, P.-T.; Zhang, D.; Denny, K.; Browndyke, J. N.; Potter, G. G.; Welsh-Bohmer, K. A.; Wang, L.; & Shen, D. (2012). Identification of MCI individuals using structural and functional connectivity networks. NeuroImage, 59, 2045-2056.
-
(2012)
NeuroImage
, vol.59
, pp. 2045-2056
-
-
Wee, C.-Y.1
Yap, P.-T.2
Zhang, D.3
Denny, K.4
Browndyke, J.N.5
Potter, G.G.6
Welsh-Bohmer, K.A.7
Wang, L.8
Shen, D.9
-
174
-
-
0035965476
-
PLS-regression: A basic tool of chemometrics
-
1:CAS:528:DC%2BD3MXotF2mtLw%3D
-
Wold, S.; Sjostrom, M.; & Eriksson, L. (2001). PLS-regression: a basic tool of chemometrics. Chemometrics and Intelligent Laboratory Systems, 58, 109-130.
-
(2001)
Chemometrics and Intelligent Laboratory Systems
, vol.58
, pp. 109-130
-
-
Wold, S.1
Sjostrom, M.2
Eriksson, L.3
-
175
-
-
84868251950
-
Multimodal Neuroimaging Predictors for Cognitive Performance Using Structured Sparse Learning
-
Yan, J.; Risacher, S.; Kim, S.; Simon, J.; Li, T.; Wan, J.; Wang, H.; Huang, H.; Saykin, A.; and Shen, L. (2012). Multimodal Neuroimaging Predictors for Cognitive Performance Using Structured Sparse Learning. Multimodal Brain Image Analysis, 7509, 1-17.
-
(2012)
Multimodal Brain Image Analysis
, vol.7509
, pp. 1-17
-
-
Yan, J.1
Risacher, S.2
Kim, S.3
Simon, J.4
Li, T.5
Wan, J.6
Wang, H.7
Huang, H.8
Saykin, A.9
Shen, L.10
-
176
-
-
79953008341
-
A hybrid machine learning method for fusing fMRI and genetic data: Combining both improves classification of schizophrenia
-
doi: 10.3389/fnhum.2010.00192
-
Yang, H.; Liu, J.; Sui, J.; Pearlson, G.; and Calhoun, V. D. (2010). A hybrid machine learning method for fusing fMRI and genetic data: combining both improves classification of schizophrenia. Frontiers in human neuroscience, 4. doi: 10.3389/fnhum.2010.00192.
-
(2010)
Frontiers in Human Neuroscience
, vol.4
-
-
Yang, H.1
Liu, J.2
Sui, J.3
Pearlson, G.4
Calhoun, V.D.5
-
177
-
-
79960978681
-
Large-scale automated synthesis of human functional neuroimaging data
-
1:CAS:528:DC%2BC3MXotV2gs7w%3D 3146590 21706013
-
Yarkoni, T.; Poldrack, R. A.; Nichols, T. E.; Van Essen, D. C.; & Wager, T. D. (2011). Large-scale automated synthesis of human functional neuroimaging data. Nature methods, 8, 665-670.
-
(2011)
Nature Methods
, vol.8
, pp. 665-670
-
-
Yarkoni, T.1
Poldrack, R.A.2
Nichols, T.E.3
Van Essen, D.C.4
Wager, T.D.5
-
178
-
-
33846575157
-
Pattern classification using principal components of cortical thickness and its discriminative pattern in schizophrenia
-
17188902
-
Yoon, U.; Lee, J. M.; Im, K.; Shin, Y. W.; Cho, B. H.; Kim, I. Y.; Kwon, J. S.; & Kim, S. I. (2007). Pattern classification using principal components of cortical thickness and its discriminative pattern in schizophrenia. NeuroImage, 34, 1405-1415.
-
(2007)
NeuroImage
, vol.34
, pp. 1405-1415
-
-
Yoon, U.1
Lee, J.M.2
Im, K.3
Shin, Y.W.4
Cho, B.H.5
Kim, I.Y.6
Kwon, J.S.7
Kim, S.I.8
-
179
-
-
56349145100
-
Multivariate Pattern Analysis of Functional Magnetic Resonance Imaging Data Reveals Deficits in Distributed Representations in Schizophrenia
-
Yoon, J. H.; Tamir, D.; Minzenberg, M. J.; Ragland, J. D.; Ursu, S.; and Carter, C. S. (2008). Multivariate Pattern Analysis of Functional Magnetic Resonance Imaging Data Reveals Deficits in Distributed Representations in Schizophrenia. Biological Psychiatry, 64(12) 1035-1041.
-
(2008)
Biological Psychiatry
, vol.64
, Issue.12
, pp. 1035-1041
-
-
Yoon, J.H.1
Tamir, D.2
Minzenberg, M.J.3
Ragland, J.D.4
Ursu, S.5
Carter, C.S.6
-
180
-
-
84860631276
-
Identifying major depression using whole-brain functional connectivity: A multivariate pattern analysis
-
10.1093/brain/aws059 22418737
-
Zeng, L.-L.; Shen, H.; Liu, L.; Wang, L.; Li, B.; Fang, P.; Zhou, Z.; Li, Y.; & Hu, D. (2012). Identifying major depression using whole-brain functional connectivity: a multivariate pattern analysis. Brain, 135, 1498-1507. doi: 10.1093/brain/aws059.
-
(2012)
Brain
, vol.135
, pp. 1498-1507
-
-
Zeng, L.-L.1
Shen, H.2
Liu, L.3
Wang, L.4
Li, B.5
Fang, P.6
Zhou, Z.7
Li, Y.8
Hu, D.9
-
181
-
-
79952073234
-
Multimodal classification of Alzheimer's disease and mild cognitive impairment
-
3057360 21236349
-
Zhang, D.; Wang, Y.; Zhou, L.; Yuan, H.; & Shen, D. (2011a). Multimodal classification of Alzheimer's disease and mild cognitive impairment. NeuroImage, 55, 856-867.
-
(2011)
NeuroImage
, vol.55
, pp. 856-867
-
-
Zhang, D.1
Wang, Y.2
Zhou, L.3
Yuan, H.4
Shen, D.5
-
182
-
-
79952073234
-
Multimodal classification of Alzheimer's disease and mild cognitive impairment
-
3057360 21236349
-
Zhang, D.; Wang, Y.; Zhou, L.; Yuan, H.; & Shen, D. (2011b). Multimodal classification of Alzheimer's disease and mild cognitive impairment. NeuroImage, 55, 856-867.
-
(2011)
NeuroImage
, vol.55
, pp. 856-867
-
-
Zhang, D.1
Wang, Y.2
Zhou, L.3
Yuan, H.4
Shen, D.5
-
183
-
-
33744821931
-
Discriminative analysis of brain function at resting-state for attention-deficit/hyperactivity disorder
-
1:STN:280:DC%2BD283mtFKluw%3D%3D
-
Zhu, C. Z.; Zang, Y. F.; Liang, M.; Tian, L. X.; He, Y.; Li, X. B.; Sui, M. Q.; Wang, Y. F.; & Jiang, T. Z. (2005). Discriminative analysis of brain function at resting-state for attention-deficit/hyperactivity disorder. Medical Image Computing and Computer-Assisted Intervention: MICCAI International Conference On Medical Image Computing And Computer-Assisted Intervention, 8, 468-475.
-
(2005)
Medical Image Computing and Computer-Assisted Intervention: MICCAI International Conference on Medical Image Computing and Computer-Assisted Intervention
, vol.8
, pp. 468-475
-
-
Zhu, C.Z.1
Zang, Y.F.2
Liang, M.3
Tian, L.X.4
He, Y.5
Li, X.B.6
Sui, M.Q.7
Wang, Y.F.8
Jiang, T.Z.9
-
184
-
-
38949129350
-
Fisher discriminative analysis of resting-state brain function for attention-deficit/hyperactivity disorder
-
18191584
-
Zhu, C. Z.; Zang, Y. F.; Cao, Q. J.; Yan, C. G.; He, Y.; Jiang, T. Z.; Sui, M. Q.; & Wang, Y. F. (2008). Fisher discriminative analysis of resting-state brain function for attention-deficit/hyperactivity disorder. NeuroImage, 40, 110-120.
-
(2008)
NeuroImage
, vol.40
, pp. 110-120
-
-
Zhu, C.Z.1
Zang, Y.F.2
Cao, Q.J.3
Yan, C.G.4
He, Y.5
Jiang, T.Z.6
Sui, M.Q.7
Wang, Y.F.8
-
185
-
-
84879719023
-
Partial least squares correlation of multivariate cognitive abilities and local brain structure in children and adolescents
-
1:STN:280:DC%2BC3snos1GgtA%3D%3D 23727321
-
Ziegler, G.; Dahnke, R.; Winkler, A. D.; & Gaser, C. (2013). Partial least squares correlation of multivariate cognitive abilities and local brain structure in children and adolescents. NeuroImage, 82, 284-294.
-
(2013)
NeuroImage
, vol.82
, pp. 284-294
-
-
Ziegler, G.1
Dahnke, R.2
Winkler, A.D.3
Gaser, C.4
|