-
1
-
-
0035100888
-
Biomarkers and surrogate endpoints: Preferred definitions and conceptual framework
-
Biomarkers Definitions Working Group NIH
-
Biomarkers Definitions Working Group NIH. Biomarkers and surrogate endpoints: Preferred definitions and conceptual framework. Clin Pharmacol Ther. 2001;69(3):89-95.
-
(2001)
Clin Pharmacol Ther.
, vol.69
, Issue.3
, pp. 89-95
-
-
-
3
-
-
0038597007
-
Neuroscience research agenda to guide development of a pathophysiologically based classification system
-
editors Washington (DC): American Psychiatric Press
-
Kupfer DJ, First MB, Regier DA, editors. Neuroscience research agenda to guide development of a pathophysiologically based classification system. A research agenda for DSM-V. Washington (DC): American Psychiatric Press; 2002.
-
(2002)
A Research Agenda for DSM-V
-
-
Kupfer, D.J.1
First, M.B.2
Regier, D.A.3
-
4
-
-
77954230363
-
Research Domain Criteria (RDoC): Toward a new classification framework for research on mental disorders
-
Insel T, Cuthbert B, Garvey M, et al. Research Domain Criteria (RDoC): Toward a new classification framework for research on mental disorders. Am J Psychiatry. 2010;167(7):748-751.
-
(2010)
Am J Psychiatry.
, vol.167
, Issue.7
, pp. 748-751
-
-
Insel, T.1
Cuthbert, B.2
Garvey, M.3
-
5
-
-
37549029793
-
The properties of highdimensional data spaces: Implications for exploring gene and protein expression data
-
Clarke R, Ressom HW, Wang A, et al. The properties of highdimensional data spaces: Implications for exploring gene and protein expression data. Nat Rev Cancer. 2008;8(1):37-49.
-
(2008)
Nat Rev Cancer.
, vol.8
, Issue.1
, pp. 37-49
-
-
Clarke, R.1
Ressom, H.W.2
Wang, A.3
-
7
-
-
33845703344
-
What is a support vector machine?
-
Noble WS. What is a support vector machine? Nat Biotechnol. 2006;24(12):1565-1567.
-
(2006)
Nat Biotechnol.
, vol.24
, Issue.12
, pp. 1565-1567
-
-
Noble, W.S.1
-
8
-
-
34548084959
-
The discipline of machine learning
-
Pittsburgh (PA): Carnegie Mellon University, School of Computer Science, Machine Learning Department Contract number CMU-ML-06-108
-
Mitchell TM. The discipline of machine learning. Technical report. Pittsburgh (PA): Carnegie Mellon University, School of Computer Science, Machine Learning Department; 2006. Contract number CMU-ML-06-108.
-
(2006)
Technical Report
-
-
Mitchell, T.M.1
-
9
-
-
65549168742
-
Machine learning classifiers and fMRI: A tutorial overview
-
Pereira F, Mitchell T, Botvinick M. Machine learning classifiers and fMRI: A tutorial overview. Neuroimage. 2009;45(1 Suppl 1):S199-S209.
-
(2009)
Neuroimage
, vol.45
, Issue.1 SUPPL. 1
-
-
Pereira, F.1
Mitchell, T.2
Botvinick, M.3
-
10
-
-
84890891489
-
Pooling fMRI data: Meta-Analysis, mega-Analysis and multi-Center studies
-
Costafreda SG. Pooling fMRI data: Meta-Analysis, mega-Analysis and multi-Center studies. Front Neuroinform. 2009;3:33.
-
(2009)
Front Neuroinform.
, vol.3
, pp. 33
-
-
Costafreda, S.G.1
-
11
-
-
84860734393
-
Diagnostic neuroimaging across diseases
-
Kloppel S, Abdulkadir A, Jack CR Jr, et al. Diagnostic neuroimaging across diseases. Neuroimage. 2012;61(2):457-463.
-
(2012)
Neuroimage.
, vol.61
, Issue.2
, pp. 457-463
-
-
Kloppel, S.1
Abdulkadir, A.2
Jack Jr., C.R.3
-
12
-
-
84857000430
-
Using support vector machine to identify imaging biomarkers of neurological and psychiatric disease: A critical review
-
Orrù G, Pettersson-Yeo W, Marquand AF, et al. Using support vector machine to identify imaging biomarkers of neurological and psychiatric disease: A critical review. Neurosci Biobehav Rev. 2012;36(4):1140-1152.
-
(2012)
Neurosci Biobehav Rev.
, vol.36
, Issue.4
, pp. 1140-1152
-
-
Orrù, G.1
Pettersson-Yeo, W.2
Marquand, A.F.3
-
13
-
-
0025863618
-
Neuropathological stageing of Alzheimer-Related changes
-
Braak H, Braak E. Neuropathological stageing of Alzheimer-Related changes. Acta Neuropathol. 1991;82(4):239-259.
-
(1991)
Acta Neuropathol.
, vol.82
, Issue.4
, pp. 239-259
-
-
Braak, H.1
Braak, E.2
-
14
-
-
34447322271
-
Research criteria for the diagnosis of Alzheimer's disease: Revising the NINCDS-ADRDA criteria
-
Dubois B, Feldman HH, Jacova C, et al. Research criteria for the diagnosis of Alzheimer?s disease: Revising the NINCDS-ADRDA criteria. Lancet Neurol. 2007;6(8):734-746.
-
(2007)
Lancet Neurol.
, vol.6
, Issue.8
, pp. 734-746
-
-
Dubois, B.1
Feldman, H.H.2
Jacova, C.3
-
15
-
-
76849095847
-
The clinical use of structural MRI in Alzheimer disease
-
Frisoni GB, Fox NC, Jack CR, et al. The clinical use of structural MRI in Alzheimer disease. Nat Rev Neurol. 2010;6(2):67-77.
-
(2010)
Nat Rev Neurol.
, vol.6
, Issue.2
, pp. 67-77
-
-
Frisoni, G.B.1
Fox, N.C.2
Jack, C.R.3
-
16
-
-
38749113910
-
Spatial patterns of brain atrophy in MCI patients, identified via high-Dimensional pattern classification, predict subsequent cognitive decline
-
Fan Y, Batmanghelich N, Clark CM, et al. Spatial patterns of brain atrophy in MCI patients, identified via high-Dimensional pattern classification, predict subsequent cognitive decline. Neuroimage. 2008;39(4):1731-1743.
-
(2008)
Neuroimage.
, vol.39
, Issue.4
, pp. 1731-1743
-
-
Fan, Y.1
Batmanghelich, N.2
Clark, C.M.3
-
17
-
-
66249084849
-
Disease classification with hippocampal shape invariants
-
Gutman B, Wang Y, Morra J, et al. Disease classification with hippocampal shape invariants. Hippocampus. 2009;19(6):572-578.
-
(2009)
Hippocampus.
, vol.19
, Issue.6
, pp. 572-578
-
-
Gutman, B.1
Wang, Y.2
Morra, J.3
-
18
-
-
34548795886
-
Multivariate deformation-Based analysis of brain atrophy to predict Alzheimer's disease in mild cognitive impairment
-
Teipel SJ, Born C, Ewers M, et al. Multivariate deformation-Based analysis of brain atrophy to predict Alzheimer?s disease in mild cognitive impairment. Neuroimage. 2007;38(1):13-24.
-
(2007)
Neuroimage.
, vol.38
, Issue.1
, pp. 13-24
-
-
Teipel, S.J.1
Born, C.2
Ewers, M.3
-
19
-
-
55749098303
-
Accuracy of dementia diagnosis: A direct comparison between radiologists and a computerized method
-
Kloppel S, Stonnington CM, Barnes J, et al. Accuracy of dementia diagnosis: A direct comparison between radiologists and a computerized method. Brain. 2008;131(Pt 11):2969-2974.
-
(2008)
Brain.
, vol.131
, Issue.PART 11
, pp. 2969-2974
-
-
Kloppel, S.1
Stonnington, C.M.2
Barnes, J.3
-
20
-
-
39749191312
-
Automatic classification of MR scans in Alzheimer's disease
-
Kloppel S, Stonnington CM, Chu C, et al. Automatic classification of MR scans in Alzheimer?s disease. Brain. 2008;131(Pt 3):681-689.
-
(2008)
Brain.
, vol.131
, Issue.PART 3
, pp. 681-689
-
-
Kloppel, S.1
Stonnington, C.M.2
Chu, C.3
-
21
-
-
80052364811
-
Computer aided diagnosis system for Alzheimer disease using brain diffusion tensor imaging features selected by Pearson s correlation
-
Graña M, Termenon M, Savio A, et al. Computer aided diagnosis system for Alzheimer disease using brain diffusion tensor imaging features selected by Pearson?s correlation. Neurosci Lett. 2011;502(3):225-229.
-
(2011)
Neurosci Lett.
, vol.502
, Issue.3
, pp. 225-229
-
-
Graña, M.1
Termenon, M.2
Savio, A.3
-
22
-
-
51349092925
-
Can clinical data predict progression to dementia in amnestic mild cognitive impairment
-
Fellows L, Bergman H, Wolfson C, et al. Can clinical data predict progression to dementia in amnestic mild cognitive impairment? Can J Neurol Sci. 2008;35(3):314-322.
-
(2008)
Can J Neurol Sci.
, vol.35
, Issue.3
, pp. 314-322
-
-
Fellows, L.1
Bergman, H.2
Wolfson, C.3
-
23
-
-
67849104993
-
Morphological hippocampal markers for automated detection of Alzheimer's disease and mild cognitive impairment converters in magnetic resonance images
-
Ferrarini L, Frisoni GB, Pievani M, et al. Morphological hippocampal markers for automated detection of Alzheimer?s disease and mild cognitive impairment converters in magnetic resonance images. J Alzheimers Dis. 2009;17(3):643-659.
-
(2009)
J Alzheimers Dis.
, vol.17
, Issue.3
, pp. 643-659
-
-
Ferrarini, L.1
Frisoni, G.B.2
Pievani, M.3
-
24
-
-
79953032540
-
Automated hippocampal shape analysis predicts the onset of dementia in mild cognitive impairment
-
Costafreda SG, Dinov ID, Tu Z, et al. Automated hippocampal shape analysis predicts the onset of dementia in mild cognitive impairment. Neuroimage. 2011;56(1):212-219.
-
(2011)
Neuroimage.
, vol.56
, Issue.1
, pp. 212-219
-
-
Costafreda, S.G.1
Dinov, I.D.2
Tu, Z.3
-
25
-
-
58149386194
-
Baseline and longitudinal patterns of brain atrophy in MCI patients, and their use in prediction of short-Term conversion to AD: Results from ADNI
-
Misra C, Fan Y, Davatzikos C. Baseline and longitudinal patterns of brain atrophy in MCI patients, and their use in prediction of short-Term conversion to AD: Results from ADNI. Neuroimage. 2009;44(4):1415-1422.
-
(2009)
Neuroimage.
, vol.44
, Issue.4
, pp. 1415-1422
-
-
Misra, C.1
Fan, Y.2
Davatzikos, C.3
-
26
-
-
0035932961
-
Progressive brain atrophy on serial MRI in dementia with Lewy bodies AD and vascular dementia
-
O?Brien JT, Paling S, Barber R, et al. Progressive brain atrophy on serial MRI in dementia with Lewy bodies, AD, and vascular dementia. Neurology. 2001;56(10):1386-1388.
-
(2001)
Neurology.
, vol.56
, Issue.10
, pp. 1386-1388
-
-
Obrien, J.T.1
Paling, S.2
Barber, R.3
-
27
-
-
58849132290
-
Medial temporal lobe atrophy on MRI differentiates Alzheimer's disease from dementia with Lewy bodies and vascular cognitive impairment: A prospective study with pathological verification of diagnosis
-
Burton EJ, Barber R, Mukaetova-Ladinska EB, et al. Medial temporal lobe atrophy on MRI differentiates Alzheimer?s disease from dementia with Lewy bodies and vascular cognitive impairment: A prospective study with pathological verification of diagnosis. Brain. 2009;132(Pt 1):195-203.
-
(2009)
Brain.
, vol.132
, Issue.PART 1
, pp. 195-203
-
-
Burton, E.J.1
Barber, R.2
Mukaetova-Ladinska, E.B.3
-
28
-
-
79551581431
-
Antemortem differential diagnosis of dementia pathology using structural MRI: Differential-STAND
-
Vemuri P, Simon G, Kantarci K, et al. Antemortem differential diagnosis of dementia pathology using structural MRI: Differential-STAND. Neuroimage. 2011;55(2):522-531.
-
(2011)
Neuroimage.
, vol.55
, Issue.2
, pp. 522-531
-
-
Vemuri, P.1
Simon, G.2
Kantarci, K.3
-
29
-
-
0344392281
-
Patient classification of fMRI activation maps
-
Montreal, QC; November 15-18, 2003; Proceedings Springer
-
Ford J, Farid H, Makedon F, et al. Patient classification of fMRI activation maps. Medical Image Computing and Computer-Assisted Intervention-MICCAI 2003, 6th International Conference, Montreal, QC; November 15-18, 2003; Proceedings. Springer; 2003. p 58-66.
-
(2003)
Medical Image Computing and Computer-Assisted Intervention-MICCAI 2003, 6th International Conference
, pp. 58-66
-
-
Ford, J.1
Farid, H.2
Makedon, F.3
-
30
-
-
20344381295
-
Extraction of discriminative functional MRI activation patterns and an application to Alzheimer's disease
-
Saint-Malo, France; September 26-29, 2004; Proceedings Springer
-
Kontos D, Megalooikonomou V, Pokrajac D, et al. Extraction of discriminative functional MRI activation patterns and an application to Alzheimer?s disease. Medical Image Computing and Computer-Assisted Intervention-MICCAI 2004, 7th International Conference, Saint-Malo, France; September 26-29, 2004; Proceedings; Springer; 2004. p 727-735.
-
(2004)
Medical Image Computing and Computer-Assisted Intervention-MICCAI 2004, 7th International Conference
, pp. 727-735
-
-
Kontos, D.1
Megalooikonomou, V.2
Pokrajac, D.3
-
31
-
-
20344398668
-
Automatic classification of SPECT images of Alzheimer's disease patients and control subjects
-
Stoeckel J, Ayache N, Malandain G, et al. Automatic classification of SPECT images of Alzheimer?s disease patients and control subjects. Lect Notes Comput Sci. 2004:654-662.
-
(2004)
Lect Notes Comput Sci.
, pp. 654-662
-
-
Stoeckel, J.1
Ayache, N.2
Malandain, G.3
-
32
-
-
33947376436
-
SVM feature selection for classification of SPECT images of Alzheimer's disease using spatial information
-
Fung G, Stoeckel J. SVM feature selection for classification of SPECT images of Alzheimer?s disease using spatial information. Knowl Inf Syst. 2007;11(2):243-258.
-
(2007)
Knowl Inf Syst.
, vol.11
, Issue.2
, pp. 243-258
-
-
Fung, G.1
Stoeckel, J.2
-
33
-
-
84884476489
-
-
National Institute for Health and Clinical Excellence (NICE) London (GB): NICE
-
National Institute for Health and Clinical Excellence (NICE). NICE guidelines for dementia. London (GB): NICE; 2010.
-
(2010)
NICE Guidelines for Dementia.
-
-
-
34
-
-
44849110068
-
A meta-Analytic study of changes in brain activation in depression
-
Fitzgerald PB, Laird AR, Maller J, et al. A meta-Analytic study of changes in brain activation in depression. Hum Brain Mapp. 2008;29(6):683-695.
-
(2008)
Hum Brain Mapp.
, vol.29
, Issue.6
, pp. 683-695
-
-
Fitzgerald, P.B.1
Laird, A.R.2
Maller, J.3
-
35
-
-
70349987702
-
Brain volume abnormalities in major depressive disorder: A metaanalysis of magnetic resonance imaging studies
-
Koolschijn PC, van Haren NE, Lensvelt-Mulders GJ, et al. Brain volume abnormalities in major depressive disorder: A metaanalysis of magnetic resonance imaging studies. Hum Brain Mapp. 2009;30(11):3719-3735.
-
(2009)
Hum Brain Mapp.
, vol.30
, Issue.11
, pp. 3719-3735
-
-
Koolschijn, P.C.1
Van Haren, N.E.2
Lensvelt-Mulders, G.J.3
-
36
-
-
40149084821
-
Pattern classification of sad facial processing: Toward the development of neurobiological markers in depression
-
Fu CHY, Mourao-Miranda J, Costafreda SG, et al. Pattern classification of sad facial processing: Toward the development of neurobiological markers in depression. Biol Psychiatry. 2008;63(7):656-662.
-
(2008)
Biol Psychiatry.
, vol.63
, Issue.7
, pp. 656-662
-
-
Chy, F.1
Mourao-Miranda, J.2
Costafreda, S.G.3
-
37
-
-
35848945711
-
A longitudinal functional magnetic resonance imaging study of verbal working memory in depression after antidepressant therapy
-
Walsh ND, Williams SCR, Brammer MJ, et al. A longitudinal functional magnetic resonance imaging study of verbal working memory in depression after antidepressant therapy. Biol Psychiatry. 2007;62(11):1236-1243.
-
(2007)
Biol Psychiatry.
, vol.62
, Issue.11
, pp. 1236-1243
-
-
Walsh, N.D.1
Scr, W.2
Brammer, M.J.3
-
38
-
-
53549088324
-
Neuroanatomy of verbal working memory as a diagnostic biomarker for depression
-
Marquand AF, Mourao-Miranda J, Brammer MJ, et al. Neuroanatomy of verbal working memory as a diagnostic biomarker for depression. Neuroreport. 2008;19(15):1507-1511.
-
(2008)
Neuroreport.
, vol.19
, Issue.15
, pp. 1507-1511
-
-
Marquand, A.F.1
Mourao-Miranda, J.2
Brammer, M.J.3
-
39
-
-
79953761839
-
Integrating neurobiological markers of depression
-
Hahn T, Marquand AF, Ehlis A-C, et al. Integrating neurobiological markers of depression. Arch Gen Psychiatry. 2011;68(4):361-368.
-
(2011)
Arch Gen Psychiatry.
, vol.68
, Issue.4
, pp. 361-368
-
-
Hahn, T.1
Marquand, A.F.2
Ehlis, A.-C.3
-
40
-
-
68149169975
-
Prognostic and diagnostic potential of the structural neuroanatomy of depression
-
Costafreda SG, Chu C, Ashburner J, et al. Prognostic and diagnostic potential of the structural neuroanatomy of depression. PLoS One. 2009;4(7):e6353.
-
(2009)
PLoS One.
, vol.4
, Issue.7
-
-
Costafreda, S.G.1
Chu, C.2
Ashburner, J.3
-
41
-
-
83755174702
-
Prediction of illness severity in patients with major depression using structural MR brain scans
-
Mwangi B, Matthews K, Steele JD. Prediction of illness severity in patients with major depression using structural MR brain scans. J Magn Reson Imaging. 2012;35(1):64-71.
-
(2012)
J Magn Reson Imaging.
, vol.35
, Issue.1
, pp. 64-71
-
-
Mwangi, B.1
Matthews, K.2
Steele, J.D.3
-
42
-
-
10844252289
-
Detection and analysis of statistical differences in anatomical shape
-
Golland P, Grimson WEL, Shenton ME, et al. Detection and analysis of statistical differences in anatomical shape. Med Image Anal. 2005;9(1):69-86.
-
(2005)
Med Image Anal.
, vol.9
, Issue.1
, pp. 69-86
-
-
Golland, P.1
Wel, G.2
Shenton, M.E.3
-
43
-
-
33744812523
-
Feature selection for shapebased classification of biological objects
-
Yushkevich P, Joshi S, Pizer SM, et al. Feature selection for shapebased classification of biological objects. Inf Process Med Imaging. 2003;2732:114-125.
-
(2003)
Inf Process Med Imaging.
, vol.2732
, pp. 114-125
-
-
Yushkevich, P.1
Joshi, S.2
Pizer, S.M.3
-
44
-
-
0036908078
-
A combined structural-Functional classification of schizophrenia using hippocampal volume plus fMRI activation
-
October 23-26, 2002, Houston (TX).
-
Ford J, Shen L, Makedon F, et al. A combined structural-Functional classification of schizophrenia using hippocampal volume plus fMRI activation. Second Joint EMBS-BMES Conference 2002-24th Annual International Conference of the Engineering in Medicine and Biology Society and Annual Fall Meeting of the Biomedical Engineering Society; October 23-26, 2002, Houston (TX). p 48-49.
-
Second Joint EMBS-BMES Conference 2002-24th Annual International Conference of the Engineering in Medicine and Biology Society and Annual Fall Meeting of the Biomedical Engineering Society
, pp. 48-49
-
-
Ford, J.1
Shen, L.2
Makedon, F.3
-
45
-
-
3042586437
-
A surface-Based approach for classification of 3D neuroanatomic structures
-
Shen L. A surface-Based approach for classification of 3D neuroanatomic structures. Intell Data Anal. 2004;8(6):519-542.
-
(2004)
Intell Data Anal.
, vol.8
, Issue.6
, pp. 519-542
-
-
Shen, L.1
-
46
-
-
0037045142
-
Prediction and prevention of transition to psychosis in young people at incipient risk for schizophrenia
-
Phillips LJ, Yung AR, Yuen HP, et al. Prediction and prevention of transition to psychosis in young people at incipient risk for schizophrenia. Am J Med Genet. 2002;114(8):929-937.
-
(2002)
Am J Med Genet.
, vol.114
, Issue.8
, pp. 929-937
-
-
Phillips, L.J.1
Yung, A.R.2
Yuen, H.P.3
-
47
-
-
33748686761
-
Classification of functional brain images with a spatio-Temporal dissimilarity map
-
Shinkareva SV, Ombao HC, Sutton BP, et al. Classification of functional brain images with a spatio-Temporal dissimilarity map. Neuroimage. 2006;33(1):63-71.
-
(2006)
Neuroimage.
, vol.33
, Issue.1
, pp. 63-71
-
-
Shinkareva, S.V.1
Ombao, H.C.2
Sutton, B.P.3
-
48
-
-
67650457029
-
Use of neuroanatomical pattern classification to identify subjects in at-Risk mental states of psychosis and predict disease transition
-
Koutsouleris N, Meisenzahl EM, Davatzikos C, et al. Use of neuroanatomical pattern classification to identify subjects in at-Risk mental states of psychosis and predict disease transition. Arch Gen Psychiatry. 2009;66(7):700.
-
(2009)
Arch Gen Psychiatry.
, vol.66
, Issue.7
, pp. 700
-
-
Koutsouleris, N.1
Meisenzahl, E.M.2
Davatzikos, C.3
-
49
-
-
55549121271
-
Temporal lobe and default hemodynamic brain modes discriminate between schizophrenia and bipolar disorder
-
Calhoun VD, Maciejewski PK, Pearlson GD, et al. Temporal lobe and default hemodynamic brain modes discriminate between schizophrenia and bipolar disorder. Hum Brain Mapp. 2008;29(11):1265-1275.
-
(2008)
Hum Brain Mapp.
, vol.29
, Issue.11
, pp. 1265-1275
-
-
Calhoun, V.D.1
Maciejewski, P.K.2
Pearlson, G.D.3
-
50
-
-
70349303493
-
Increased inferior frontal activation during word generation: A marker of genetic risk for schizophrenia but not bipolar disorder?
-
Costafreda SG, Fu CH, Picchioni M, et al. Increased inferior frontal activation during word generation: A marker of genetic risk for schizophrenia but not bipolar disorder? Hum Brain Mapp. 2009;30(10):3287-3298.
-
(2009)
Hum Brain Mapp.
, vol.30
, Issue.10
, pp. 3287-3298
-
-
Costafreda, S.G.1
Fu, C.H.2
Picchioni, M.3
-
51
-
-
79251561866
-
Pattern of neural responses to verbal fluency shows diagnostic specificity for schizophrenia and bipolar disorder
-
Costafreda SG, Fu CHY, Picchioni M, et al. Pattern of neural responses to verbal fluency shows diagnostic specificity for schizophrenia and bipolar disorder. BMC Psychiatry. 2011;11:18.
-
(2011)
BMC Psychiatry.
, Issue.11
, pp. 18
-
-
Costafreda, S.G.1
Chy, F.2
Picchioni, M.3
-
52
-
-
34047161656
-
Identifying patients with obsessive-Compulsive disorder using whole-Brain anatomy
-
Soriano-Mas C, Pujol J, Alonso P, et al. Identifying patients with obsessive-Compulsive disorder using whole-Brain anatomy. Neuroimage. 2007;35(3):1028-1037.
-
(2007)
Neuroimage.
, vol.35
, Issue.3
, pp. 1028-1037
-
-
Soriano-Mas, C.1
Pujol, J.2
Alonso, P.3
-
53
-
-
77956214538
-
Describing the brain in autism in five dimensions-Magnetic resonance imaging-Assisted diagnosis of autism spectrum disorder using a multiparameter classification approach
-
Ecker C, Marquand A, Mourão-Miranda J, et al. Describing the brain in autism in five dimensions-Magnetic resonance imaging-Assisted diagnosis of autism spectrum disorder using a multiparameter classification approach. J Neurosci. 2010;30(32):10612-10623.
-
(2010)
J Neurosci.
, vol.30
, Issue.32
, pp. 10612-10623
-
-
Ecker, C.1
Marquand, A.2
Mourão-Miranda, J.3
-
54
-
-
38949160386
-
Automated classification of bipolar schizophrenic and healthy individuals via multiple spatial ICA functional brain modes
-
September 6-8 2006; Maynooth, Ireland.
-
Calhoun V, Pearlson G, Kiehl K. Automated classification of bipolar, schizophrenic, and healthy individuals via multiple spatial ICA functional brain modes. Machine Learning for Signal Processing, Proceedings of the 16th IEEE Signal Processing Society Workshop; September 6-8, 2006; Maynooth, Ireland. p 371-376.
-
Machine Learning for Signal Processing Proceedings of the 16th IEEE Signal Processing Society Workshop
, pp. 371-376
-
-
Calhoun, V.1
Pearlson, G.2
Kiehl, K.3
-
55
-
-
33745153820
-
Machine learning for clinical diagnosis from functional magnetic resonance imaging
-
June 20-26 2005; San Diego, CA.
-
Zhang L, Samaras D, Tomasi D, et al. Machine Learning for Clinical Diagnosis from Functional Magnetic Resonance Imaging. IEEE Computer Society Conference on Computer Vision and Pattern Recognition; June 20-26, 2005; San Diego, CA. p 1211-1217.
-
IEEE Computer Society Conference on Computer Vision and Pattern Recognition
, pp. 1211-1217
-
-
Zhang, L.1
Samaras, D.2
Tomasi, D.3
-
56
-
-
0343145706
-
Effect of sertraline on regional metabolic rate in patients with affective disorder
-
Buchsbaum MS, Joseph W, Siegel BV, et al. Effect of sertraline on regional metabolic rate in patients with affective disorder. Biol Psychiatry. 1997;41(1):15-22.
-
(1997)
Biol Psychiatry.
, vol.41
, Issue.1
, pp. 15-22
-
-
Buchsbaum, M.S.1
Joseph, W.2
Siegel, B.V.3
-
57
-
-
8244256653
-
Cingulate function in depression: A potential predictor of treatment response
-
Mayberg HS, Brannan SK, Mahurin RK, et al. Cingulate function in depression: A potential predictor of treatment response. Neuroreport. 1997;8(4):1057-1061.
-
(1997)
Neuroreport.
, vol.8
, Issue.4
, pp. 1057-1061
-
-
Mayberg, H.S.1
Brannan, S.K.2
Mahurin, R.K.3
-
58
-
-
4444225019
-
Attenuation of the neural response to sad faces in major depression by antidepressant treatment: A prospective, event-Related functional magnetic resonance imaging study
-
Fu CH, Williams SC, Cleare AJ, et al. Attenuation of the neural response to sad faces in major depression by antidepressant treatment: A prospective, event-Related functional magnetic resonance imaging study. Arch Gen Psychiatry. 2004;61(9):877-889.
-
(2004)
Arch Gen Psychiatry.
, vol.61
, Issue.9
, pp. 877-889
-
-
Fu, C.H.1
Williams, S.C.2
Cleare, A.J.3
-
59
-
-
49749132805
-
Neural responses to sad facial expressions in major depression following cognitive behavioral therapy
-
Fu CHY, Williams SCR, Cleare AJ, et al. Neural responses to sad facial expressions in major depression following cognitive behavioral therapy. Biol Psychiatry. 2008;64(6):505-512.
-
(2008)
Biol Psychiatry.
, vol.64
, Issue.6
, pp. 505-512
-
-
Chy, F.1
Scr, W.2
Cleare, A.J.3
-
60
-
-
84873525001
-
Predictive neural biomarkers of clinical response in depression: A meta-Analysis of functional and structural neuroimaging studies of pharmacological and psychological therapies
-
Fu CH, Steiner H, Costafreda SG. Predictive neural biomarkers of clinical response in depression: A meta-Analysis of functional and structural neuroimaging studies of pharmacological and psychological therapies. Neurobiol Dis. 2013;52:75-83.
-
(2013)
Neurobiol Dis.
, vol.52
, pp. 75-83
-
-
Fu, C.H.1
Steiner, H.2
Costafreda, S.G.3
-
61
-
-
79952708926
-
Prognostic prediction of therapeutic response in depression using high-Field MR imaging
-
Gong Q, Wu Q, Scarpazza C, et al. Prognostic prediction of therapeutic response in depression using high-Field MR imaging. Neuroimage. 2011;55:1497-1503.
-
(2011)
Neuroimage.
, vol.55
, pp. 1497-1503
-
-
Gong, Q.1
Wu, Q.2
Scarpazza, C.3
-
62
-
-
67049115926
-
Neural correlates of sad faces predict clinical remission to cognitive behavioural therapy in depression
-
Costafreda SG, Khanna A, Mourao-Miranda J, et al. Neural correlates of sad faces predict clinical remission to cognitive behavioural therapy in depression. Neuroreport. 2009;20(7):637-641.
-
(2009)
Neuroreport.
, vol.20
, Issue.7
, pp. 637-641
-
-
Costafreda, S.G.1
Khanna, A.2
Mourao-Miranda, J.3
-
63
-
-
78049251267
-
A pilot study to determine whether machine learning methodologies using pre-Treatment electroencephalography can predict the symptomatic response to clozapine therapy
-
Khodayari-Rostamabad A, Hasey GM, MacCrimmon DJ, et al. A pilot study to determine whether machine learning methodologies using pre-Treatment electroencephalography can predict the symptomatic response to clozapine therapy. Clin Neurophysiol. 2010;121(12):1998-2006.
-
(2010)
Clin Neurophysiol.
, vol.121
, Issue.12
, pp. 1998-2006
-
-
Khodayari-Rostamabad, A.1
Hasey, G.M.2
Maccrimmon, D.J.3
-
64
-
-
38849166655
-
Evaluation of diagnostic tests when there is no gold standard. A review of methods
-
Rutjes A, Reitsma J, Coomarasamy A, et al. Evaluation of diagnostic tests when there is no gold standard. A review of methods. Health Technol Assess. 2007;50(11):iii, ix-51.
-
(2007)
Health Technol Assess.
, vol.50
, Issue.11
, pp. 39-51
-
-
Rutjes, A.1
Reitsma, J.2
Coomarasamy, A.3
-
66
-
-
0014702024
-
Establishment of diagnostic validity in psychiatric illness: Its application to schizophrenia
-
Robins E, Guze SB. Establishment of diagnostic validity in psychiatric illness: Its application to schizophrenia. Am J Psychiatry. 1970;126(7):983-987.
-
(1970)
Am J Psychiatry.
, vol.126
, Issue.7
, pp. 983-987
-
-
Robins, E.1
Guze, S.B.2
-
67
-
-
0025185751
-
Toward a scientific psychiatric nosology. Strengths and limitations
-
Kendler KS. Toward a scientific psychiatric nosology. Strengths and limitations. Arch Gen Psychiatry. 1990;47(10):969-973.
-
(1990)
Arch Gen Psychiatry.
, vol.47
, Issue.10
, pp. 969-973
-
-
Kendler, K.S.1
-
68
-
-
79954987179
-
Machine learning classification with confidence: Application of transductive conformal predictors to MRI-Based diagnostic and prognostic markers in depression
-
Epub 2010 May 17
-
Nouretdinov I, Costafreda SG, Gammerman A, et al. Machine learning classification with confidence: Application of transductive conformal predictors to MRI-Based diagnostic and prognostic markers in depression. Neuroimage. 2011;56(2):809-813; Epub 2010 May 17.
-
(2011)
Neuroimage.
, vol.56
, Issue.2
, pp. 809-813
-
-
Nouretdinov, I.1
Costafreda, S.G.2
Gammerman, A.3
-
69
-
-
84858061434
-
Assessing the value of diagnostic tests: A framework for designing and evaluating trials
-
Ferrante di Ruffano L, Hyde CJ, McCaffery KJ, et al. Assessing the value of diagnostic tests: A framework for designing and evaluating trials. BMJ. 2012;344:e686.
-
(2012)
BMJ
, vol.344
-
-
Ferrante Di Ruffano, L.1
Hyde, C.J.2
McCaffery, K.J.3
-
71
-
-
9144238091
-
A comparison of classification methods for differentiating fronto-Temporal dementia from Alzheimer's disease using FDG-PET imaging
-
Higdon R, Foster NL, Koeppe RA, et al. A comparison of classification methods for differentiating fronto-Temporal dementia from Alzheimer?s disease using FDG-PET imaging. Stat Med. 2004;23(2):315-326.
-
(2004)
Stat Med.
, vol.23
, Issue.2
, pp. 315-326
-
-
Higdon, R.1
Foster, N.L.2
Koeppe, R.A.3
-
72
-
-
52449112654
-
Automatic striatal volumetry allows for identification of patients with choreaacanthocytosis at single subject level
-
Huppertz HJ, Kröll-Seger J, Danek A, et al. Automatic striatal volumetry allows for identification of patients with choreaacanthocytosis at single subject level. J Neural Transm. 2008;115(10):1393-1400.
-
(2008)
J Neural Transm.
, vol.115
, Issue.10
, pp. 1393-1400
-
-
Huppertz, H.J.1
Kröll-Seger, J.2
Danek, A.3
-
73
-
-
34447322271
-
Research criteria for the diagnosis of Alzheimer's disease: Revising the NINCDS-ADRDA criteria
-
Dubois B, Feldman HH, Jacova C et al. Research criteria for the diagnosis of Alzheimer?s disease: Revising the NINCDS-ADRDA criteria. Lancet Neurol. 2007;6(8):734-746.
-
(2007)
Lancet Neurol.
, vol.6
, Issue.8
, pp. 734-746
-
-
Dubois, B.1
Feldman, H.H.2
Dubois, B.3
Feldman, H.H.4
Jacova, C.5
-
74
-
-
54049129625
-
Pivotal evaluation of the accuracy of a biomarker used for classification or prediction: Standards for study design
-
Pepe MS, Feng Z, Janes H, et al. Pivotal evaluation of the accuracy of a biomarker used for classification or prediction: Standards for study design. J Natl Cancer Inst. 2008;100(20):1432-1438.
-
(2008)
J Natl Cancer Inst.
, vol.100
, Issue.20
, pp. 1432-1438
-
-
Pepe, M.S.1
Feng, Z.2
Janes, H.3
-
75
-
-
77950821257
-
Pitfalls in the use of voxel-Based morphometry as a biomarker: Examples from Huntington disease
-
Henley SM, Ridgway GR, Scahill RI, et al. Pitfalls in the use of voxel-Based morphometry as a biomarker: Examples from Huntington disease. Am J Neuroradiol. 2010;31(4):711-719.
-
(2010)
Am J Neuroradiol.
, vol.31
, Issue.4
, pp. 711-719
-
-
Henley, S.M.1
Ridgway, G.R.2
Scahill, R.I.3
-
76
-
-
79955133484
-
-
Poster presented at the Annual Meeting of the Organization for Human Brain Mapping. Florence (IT) Available from
-
Detre GJ, Polyn SM, Moore CD, et al. The Multi-Voxel Pattern Analysis (MVPA) toolbox. Poster presented at the Annual Meeting of the Organization for Human Brain Mapping. 2006 Florence (IT). Available from: Http://www.csbmb. princeton.edu/mvpa.
-
(2006)
The Multi-Voxel Pattern Analysis (MVPA) Toolbox
-
-
Detre, G.J.1
Polyn, S.M.2
Moore, C.D.3
-
77
-
-
64049085419
-
PyMVPA: A Python toolbox for multivariate pattern analysis of fMRI data
-
Available from
-
Hanke M, Halchenko YO, Sederberg PB, et al. PyMVPA: A Python toolbox for multivariate pattern analysis of fMRI data. Neuroinformatics. 2009;7(1):37-53. Available from: Http://www.pymvpa.org.
-
(2009)
Neuroinformatics.
, vol.7
, Issue.1
, pp. 37-53
-
-
Hanke, M.1
Halchenko, Y.O.2
Sederberg, P.B.3
-
79
-
-
0037306384
-
Support vector machines for diagnosis of breast tumors on US images
-
Chang RF, Wu WJ, Moon WK, et al. Support vector machines for diagnosis of breast tumors on US images. Acad Radiol. 2003;10(2):189-197.
-
(2003)
Acad Radiol.
, vol.10
, Issue.2
, pp. 189-197
-
-
Chang, R.F.1
Wu, W.J.2
Moon, W.K.3
-
81
-
-
0033636139
-
Support vector machine classification and validation of cancer tissue samples using microarray expression data
-
Furey TS, Cristianini N, Duffy N, et al. Support vector machine classification and validation of cancer tissue samples using microarray expression data. Bioinformatics. 2000;16(10):906-914.
-
(2000)
Bioinformatics.
, vol.16
, Issue.10
, pp. 906-914
-
-
Furey, T.S.1
Cristianini, N.2
Duffy, N.3
-
82
-
-
77950588524
-
High-Dimensional pattern regression using machine learning: From medical images to continuous clinical variables
-
Wang Y, Fan Y, Bhatt P, et al. High-Dimensional pattern regression using machine learning: From medical images to continuous clinical variables. Neuroimage. 2010;50(4):1519-1535.
-
(2010)
Neuroimage.
, vol.50
, Issue.4
, pp. 1519-1535
-
-
Wang, Y.1
Fan, Y.2
Bhatt, P.3
-
83
-
-
27744509503
-
Whole-Brain morphometric study of schizophrenia revealing a spatially complex set of focal abnormalities
-
Davatzikos C, Shen D, Gur RC, et al. Whole-Brain morphometric study of schizophrenia revealing a spatially complex set of focal abnormalities. Arch Gen Psychiatry. 2005;62(11):1218-1227.
-
(2005)
Arch Gen Psychiatry.
, vol.62
, Issue.11
, pp. 1218-1227
-
-
Davatzikos, C.1
Shen, D.2
Gur, R.C.3
|