-
1
-
-
79960044482
-
Grand challenges in global mental health
-
Jul PMID: 21734685
-
Collins P, Patel V, Joestl S, March D, Insel T, Daar A, et al. Grand challenges in global mental health. Nature. 2011 Jul; 475(7354):27-30. doi: 10.1038/475027a PMID: 21734685
-
(2011)
Nature
, vol.475
, Issue.7354
, pp. 27-30
-
-
Collins, P.1
Patel, V.2
Joestl, S.3
March, D.4
Insel, T.5
Daar, A.6
-
2
-
-
84929070791
-
Cognitive Impairment and fMRI in Major Depression
-
Feb
-
Ebmeier K, Rose E, Steele D. Cognitive Impairment and fMRI in Major Depression. Neurotox Res. 2009 Feb; 10(2):1-6.
-
(2009)
Neurotox Res
, vol.10
, Issue.2
, pp. 1-6
-
-
Ebmeier, K.1
Rose, E.2
Steele, D.3
-
3
-
-
78149360762
-
Memory related dysregulation of hippocampal function in major depressive disorder
-
Dec PMID: 20833223
-
Fairhall S, Sharma S, Magnusson J, Murphy B. Memory related dysregulation of hippocampal function in major depressive disorder. Biol Psychol. 2010 Dec; 85(3):499-503. doi: 10.1016/j.biopsycho.2010.09.002 PMID: 20833223
-
(2010)
Biol Psychol
, vol.85
, Issue.3
, pp. 499-503
-
-
Fairhall, S.1
Sharma, S.2
Magnusson, J.3
Murphy, B.4
-
4
-
-
78649659451
-
fMRI Studies of Reward Processing in Adolescent Depression
-
Jan
-
Forbes E. fMRI Studies of Reward Processing in Adolescent Depression. Neuropsychopharmacol. 2011 Jan; 36(1):372-373. doi: 10.1038/npp.2010.164
-
(2011)
Neuropsychopharmacol
, vol.36
, Issue.1
, pp. 372-373
-
-
Forbes, E.1
-
5
-
-
84865159740
-
Changes in community structure of resting state functional connectivity in unipolar depression
-
Lord A, Horn D, Breakspear M, Walter M. Changes in community structure of resting state functional connectivity in unipolar depression. PLOS ONE. 2012; 7. doi: 10.1371/journal.pone.0041282
-
(2012)
PLOS ONE
, vol.7
-
-
Lord, A.1
Horn, D.2
Breakspear, M.3
Walter, M.4
-
6
-
-
84255168918
-
Abnormal hippocampal activation in patients with extensive history of major depression: An fMRI study
-
Jan PMID: 21745440
-
Milne A, MacQueen G, Hall G. Abnormal hippocampal activation in patients with extensive history of major depression: an fMRI study. J Psychiatry Neurosci. 2012 Jan; 37(1):28-36. doi: 10.1503/jpn.110004 PMID: 21745440
-
(2012)
J Psychiatry Neurosci
, vol.37
, Issue.1
, pp. 28-36
-
-
Milne, A.1
MacQueen, G.2
Hall, G.3
-
7
-
-
84857000430
-
Using Support Vector Machine to identify imaging biomarkers of neurological and psychiatric disease: A critical review
-
Apr
-
Orrú G, Pettersson-Yeo W, Marquand A, Sartori G, Mechelli A. Using Support Vector Machine to identify imaging biomarkers of neurological and psychiatric disease: A critical review. Neurosci Biobehav R. 2012 Apr; 36(4):1140-1152. doi: 10.1016/j.neubiorev.2012.01.004
-
(2012)
Neurosci Biobehav R
, vol.36
, Issue.4
, pp. 1140-1152
-
-
Orrú, G.1
Pettersson-Yeo, W.2
Marquand, A.3
Sartori, G.4
Mechelli, A.5
-
8
-
-
84855334632
-
Computational psychiatry
-
Special Issue: Cognition in Neuropsychiatric Disorders PMID: 22177032
-
Montague PR, Dolan RJ, Friston KJ, Dayan P. Computational psychiatry. Trends Cogn Sci. 2012; 16(1):72-80. Special Issue: Cognition in Neuropsychiatric Disorders. doi: 10.1016/j.tics.2011.11.018 PMID: 22177032
-
(2012)
Trends Cogn Sci
, vol.16
, Issue.1
, pp. 72-80
-
-
Montague, P.R.1
Dolan, R.J.2
Friston, K.J.3
Dayan, P.4
-
9
-
-
40149084821
-
Pattern Classification of Sad Facial Processing: Toward the Development of Neurobiological Markers in Depression
-
Apr
-
Fu C, Mourão-Miranda J, Costafreda S, Khanna A, Marquand A, Williams S, et al. Pattern Classification of Sad Facial Processing: Toward the Development of Neurobiological Markers in Depression. Biol Psych. 2008 Apr; 63(7):656-662. doi: 10.1016/j.biopsych.2007.08.020
-
(2008)
Biol Psych
, vol.63
, Issue.7
, pp. 656-662
-
-
Fu, C.1
Mourão-Miranda, J.2
Costafreda, S.3
Khanna, A.4
Marquand, A.5
Williams, S.6
-
10
-
-
53549088324
-
Neuroanatomy of verbal working memory as a diagnostic biomarker for depression
-
Oct PMID: 18797307
-
Marquand A, Mourão-Miranda J, Brammer M, Cleare A, Fu C. Neuroanatomy of verbal working memory as a diagnostic biomarker for depression. NeuroReport. 2008 Oct; 19(15):1507-1511. doi: 10.1097/WNR.0b013e328310425e PMID: 18797307
-
(2008)
NeuroReport
, vol.19
, Issue.15
, pp. 1507-1511
-
-
Marquand, A.1
Mourão-Miranda, J.2
Brammer, M.3
Cleare, A.4
Fu, C.5
-
11
-
-
79251561866
-
Pattern of neural responses to verbal fluency shows diagnostic specificity for schizophrenia and bipolar disorder
-
Costafreda S, Fu C, Picchioni M, Toulopoulou T, McDonald C, Kravariti E, et al. Pattern of neural responses to verbal fluency shows diagnostic specificity for schizophrenia and bipolar disorder. BMC Psych. 2011; 11(1):18. doi: 10.1186/1471-244X-11-18
-
(2011)
BMC Psych
, vol.11
, Issue.1
, pp. 18
-
-
Costafreda, S.1
Fu, C.2
Picchioni, M.3
Toulopoulou, T.4
McDonald, C.5
Kravariti, E.6
-
14
-
-
79954987179
-
Investigating machine learning techniques for detection of de- pression using structural mri volumetachine learning classification with confidence: Application of transductive conformal predictors to MRI-based diagnostic and prognostic markers in depression
-
May PMID: 20483379
-
Nouretdinov I, Costafreda S, Gammerman A, Chervonenkis A, Vovk V, Vapnik V, et al. Investigating machine learning techniques for detection of de- pression using structural mri volumetachine learning classification with confidence: Application of transductive conformal predictors to MRI-based diagnostic and prognostic markers in depression. NeuroImage. 2011 May; 56(2):809-813. PMID: 20483379
-
(2011)
NeuroImage
, vol.56
, Issue.2
, pp. 809-813
-
-
Nouretdinov, I.1
Costafreda, S.2
Gammerman, A.3
Chervonenkis, A.4
Vovk, V.5
Vapnik, V.6
-
15
-
-
77950537175
-
Regularization Paths for Generalized Linear Models via Coordinate Descent
-
PMID: 20808728
-
Friedman J, Hastie T, Tibshirani R. Regularization Paths for Generalized Linear Models via Coordinate Descent. J Stat Softw. 2010; 33(1). PMID: 20808728
-
(2010)
J Stat Softw
, vol.33
, Issue.1
-
-
Friedman, J.1
Hastie, T.2
Tibshirani, R.3
-
16
-
-
84863165439
-
-
NY, Springer
-
Friedman J, Tibshirani R, Hastie T. The Elements of Statistical Learning: Data Mining, Inference, and Prediction. NY, Springer; 2009.
-
(2009)
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
-
-
Friedman, J.1
Tibshirani, R.2
Hastie, T.3
-
17
-
-
84933679526
-
A meta-analysis of changes in brain activity in clinical depression
-
Jan
-
Carey LM. A meta-analysis of changes in brain activity in clinical depression. Front Hum Neurosci. 2015 Jan; 8:1-19.
-
(2015)
Front Hum Neurosci
, vol.8
, pp. 1-19
-
-
Carey, L.M.1
-
19
-
-
0036704933
-
Frontal subcortical neuronal circuits and clinical neuropsychiatry: An update
-
PMID: 12169339
-
Tekin S, Cummings J. Frontal subcortical neuronal circuits and clinical neuropsychiatry: An update. Journal of Psychosomatic Research. 2002; 53. doi: 10.1016/S0022-3999(02)00428-2 PMID: 12169339
-
(2002)
Journal of Psychosomatic Research
, vol.53
-
-
Tekin, S.1
Cummings, J.2
-
21
-
-
0037464829
-
Qualitative analysis of verbal fluency in depression
-
PMID: 12581817
-
Fossati P, Guillaume LB, Ergis AM, Allilaire JF. Qualitative analysis of verbal fluency in depression. Psychiatry Res. 2003; 117(1):17-24. doi: 10.1016/S0165-1781(02)00300-1 PMID: 12581817
-
(2003)
Psychiatry Res
, vol.117
, Issue.1
, pp. 17-24
-
-
Fossati, P.1
Guillaume, L.B.2
Ergis, A.M.3
Allilaire, J.F.4
-
22
-
-
15044349446
-
A meta-analytic review of verbal fluency deficits in depression
-
Jan
-
Henry J, Crawford J. A meta-analytic review of verbal fluency deficits in depression. J Clin Exp Neruopsychol. 2005 Jan; 27(1):78-101. doi: 10.1080/138033990513654
-
(2005)
J Clin Exp Neruopsychol
, vol.27
, Issue.1
, pp. 78-101
-
-
Henry, J.1
Crawford, J.2
-
23
-
-
84889806363
-
A comparison of cognitive functioning in acute schizophrenia and depression
-
Dec PMID: 25287873
-
Gooren T, Schlattmannm P, Neu P. A comparison of cognitive functioning in acute schizophrenia and depression. Acta Neuropsychiatr. 2013 Dec; 25. PMID: 25287873
-
(2013)
Acta Neuropsychiatr
, pp. 25
-
-
Gooren, T.1
Schlattmannm, P.2
Neu, P.3
-
24
-
-
84929124546
-
Verbal fluency in Alzheimer's disease, Parkinson's disease, and major depression
-
Bom de Araujo N, Lage Barca M, Engedal K, Silva Freire Coutinho S, Camaz Deslandes A, LaksI J. Verbal fluency in Alzheimer's disease, Parkinson's disease, and major depression. Clinics (Sao Paulo). 2011; 66.
-
(2011)
Clinics (Sao Paulo)
, pp. 66
-
-
Bom De Araujo, N.1
Lage Barca, M.2
Engedal, K.3
Silva Freire Coutinho, S.4
Camaz Deslandes, A.5
Laks, I.J.6
-
25
-
-
0035478854
-
Random Forests
-
Breiman L. Random Forests. Machine Learn. 2001; 45(1):5-32. doi: 10.1023/A:1010933404324
-
(2001)
Machine Learn
, vol.45
, Issue.1
, pp. 5-32
-
-
Breiman, L.1
-
27
-
-
33646689361
-
Estimation of premorbid IQ in individuals with Alzheimer's disease using Japanese ideographic script (Kanji) compound words: Japanese version of National Adult Reading Test
-
Jun
-
Matsuoka K, Uno M, Kasai K, Koyama K, Kim Y. Estimation of premorbid IQ in individuals with Alzheimer's disease using Japanese ideographic script (Kanji) compound words: Japanese version of National Adult Reading Test. Psychiat Clin Neuros. 2006 Jun; 60(3):332-339. doi: 10.1111/j.1440-1819.2006.01510.x
-
(2006)
Psychiat Clin Neuros
, vol.60
, Issue.3
, pp. 332-339
-
-
Matsuoka, K.1
Uno, M.2
Kasai, K.3
Koyama, K.4
Kim, Y.5
-
28
-
-
0036322886
-
Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain
-
Jan PMID: 11771995
-
Tzourio-Mazoyer N, Landeau B, Papathanassiou D, Crivello F, Etard O, Delcroix N, et al. Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain. NeuroImage. 2002 Jan; 15(1):273-289. doi: 10.1006/nimg.2001.0978 PMID: 11771995
-
(2002)
NeuroImage
, vol.15
, Issue.1
, pp. 273-289
-
-
Tzourio-Mazoyer, N.1
Landeau, B.2
Papathanassiou, D.3
Crivello, F.4
Etard, O.5
Delcroix, N.6
-
30
-
-
84929124547
-
-
Accessed 16 March 2015. Available from
-
Chris R. MRIcron Nifti viewer; 2014. MRIcron website. Accessed 16 March 2015. Available from: http://www.mccauslandcenter.sc.edu/mricro/mricron.
-
(2014)
MRIcron Nifti Viewer
-
-
Chris, R.1
-
31
-
-
84860603285
-
Multi-centre diagnostic classification of individual structural neuroimaging scans from patients with major depressive disorder
-
PMID: 22544901
-
Mwangi B, Ebmeier K, Matthews K, Douglas Steele J. Multi-centre diagnostic classification of individual structural neuroimaging scans from patients with major depressive disorder. Brain. 2012; 135(5):1508-1521. doi: 10.1093/brain/aws084 PMID: 22544901
-
(2012)
Brain
, vol.135
, Issue.5
, pp. 1508-1521
-
-
Mwangi, B.1
Ebmeier, K.2
Matthews, K.3
Douglas Steele, J.4
-
32
-
-
67650065542
-
Structural brain abnormalities in major depressive disorder: A selective review of recent MRI studies
-
PMID: 19237202
-
Lorenzetti V, Allen N, Fornito A, Yucel M. Structural brain abnormalities in major depressive disorder: a selective review of recent MRI studies. J Affect Disord. 2009; 117:1-17. doi: 10.1016/j.jad.2008.11.021 PMID: 19237202
-
(2009)
J Affect Disord
, vol.117
, pp. 1-17
-
-
Lorenzetti, V.1
Allen, N.2
Fornito, A.3
Yucel, M.4
-
33
-
-
84878729599
-
Towards automated detection of depression from brain structural magnetic resonance images
-
May PMID: 23338839
-
Kipli K, Kouzani AZ, Williams LJ. Towards automated detection of depression from brain structural magnetic resonance images. Neuroradiology. 2013 May; 55:567-584. doi: 10.1007/s00234-013-1139-8 PMID: 23338839
-
(2013)
Neuroradiology
, vol.55
, pp. 567-584
-
-
Kipli, K.1
Kouzani, A.Z.2
Williams, L.J.3
-
34
-
-
84962940252
-
Investigating Machine Learning Techniques for Detection of Depression Using Structural MRI Volumetric Features
-
Sep
-
Kipli K, Kouzani A, Hamid I. Investigating Machine Learning Techniques for Detection of Depression Using Structural MRI Volumetric Features. IJBBB. 2013 Sep; 3:444-448. doi: 10.7763/IJBBB.2013.V3.252
-
(2013)
IJBBB
, vol.3
, pp. 444-448
-
-
Kipli, K.1
Kouzani, A.2
Hamid, I.3
-
35
-
-
60549103853
-
Complex brain networks: Graph theoretical analysis of structural and functional systems
-
PMID: 19190637
-
Bullmore E, Sporns O. Complex brain networks: graph theoretical analysis of structural and functional systems. Nat Rev Neurosci. 2009; 10:186-198. doi: 10.1038/nrn2618 PMID: 19190637
-
(2009)
Nat Rev Neurosci
, vol.10
, pp. 186-198
-
-
Bullmore, E.1
Sporns, O.2
-
36
-
-
38849164785
-
Executive function
-
PMID: 18269902
-
Gilbert S, Burgess P. Executive function. Curr Biol. 2008; 18(3):R110-R114. doi: 10.1016/j.cub.2007.12.014 PMID: 18269902
-
(2008)
Curr Biol
, vol.18
, Issue.3
, pp. R110-R114
-
-
Gilbert, S.1
Burgess, P.2
-
37
-
-
70749086125
-
Effect of CACNA1C rs1006737 on neural correlates of verbal fluency in healthy individuals
-
Jan PMID: 19781653
-
Krug A, Nieratschker V, Markov V, Krach S, Jansen A, Zerres K, et al. Effect of CACNA1C rs1006737 on neural correlates of verbal fluency in healthy individuals. NeuroImage. 2010 Jan; 49(2):1831-1836. doi: 10.1016/j.neuroimage.2009.09.028 PMID: 19781653
-
(2010)
NeuroImage
, vol.49
, Issue.2
, pp. 1831-1836
-
-
Krug, A.1
Nieratschker, V.2
Markov, V.3
Krach, S.4
Jansen, A.5
Zerres, K.6
-
38
-
-
84864812744
-
Neural mechanisms underlying the facilitation of naming in aphasia using a semantic task: An fMRI study
-
PMID: 22882806
-
Heath S, McMahon K, Nickels L, Angwin A, MacDonald A, van Hees S, et al. Neural mechanisms underlying the facilitation of naming in aphasia using a semantic task: an fMRI study. BMC Neurosci. 2012; 13(1):98. doi: 10.1186/1471-2202-13-98 PMID: 22882806
-
(2012)
BMC Neurosci
, vol.13
, Issue.1
, pp. 98
-
-
Heath, S.1
McMahon, K.2
Nickels, L.3
Angwin, A.4
MacDonald, A.5
Van Hees, S.6
-
39
-
-
0001224048
-
Sparse Bayesian Learning and the Relevance Vector Machine
-
Tipping M. Sparse Bayesian Learning and the Relevance Vector Machine. JMLR. 2001; 1:211-244.
-
(2001)
JMLR
, vol.1
, pp. 211-244
-
-
Tipping, M.1
-
40
-
-
48749085199
-
Clinical Mass Spectrometry Proteomic Diagnosis by Conformal Predictors
-
Gammerman A, Nouretdinov I, Burford B, Chervonenkis A, Vovk V, Luo Z. Clinical Mass Spectrometry Proteomic Diagnosis by Conformal Predictors. Stat Appl Genet Mol. 2008; 7(2).
-
(2008)
Stat Appl Genet Mol
, vol.7
, Issue.2
-
-
Gammerman, A.1
Nouretdinov, I.2
Burford, B.3
Chervonenkis, A.4
Vovk, V.5
Luo, Z.6
-
41
-
-
84904747767
-
Identifying informative imaging biomarkers via tree structured sparse learning for AD diagnosis
-
Jul PMID: 24338729
-
Liu M, Zhang D, Shen D. Identifying informative imaging biomarkers via tree structured sparse learning for AD diagnosis. Neuroinformatics. 2014 Jul; 12:381-94. doi: 10.1007/s12021-013-9218-x PMID: 24338729
-
(2014)
Neuroinformatics
, vol.12
, pp. 381-394
-
-
Liu, M.1
Zhang, D.2
Shen, D.3
-
43
-
-
84877334125
-
Modeling disease progression via multi-task learning
-
PMID: 23583359
-
Zhou J, Liu J, Narayanc V, Yea J. Modeling disease progression via multi-task learning. NeuroImage. 2013; 78:233-248. doi: 10.1016/j.neuroimage.2013.03.073 PMID: 23583359
-
(2013)
NeuroImage
, vol.78
, pp. 233-248
-
-
Zhou, J.1
Liu, J.2
Narayanc, V.3
Yea, J.4
-
44
-
-
84902095854
-
Evaluating the Predictive Power of Multivariate Tensor-based Morphometry in Alzheimers Disease Progression via Convex Fused Sparse Group Lasso
-
Tsao S, Gajawelli N, Zhou J, Shi J, Ye J, Wang Y, et al. Evaluating the Predictive Power of Multivariate Tensor-based Morphometry in Alzheimers Disease Progression via Convex Fused Sparse Group Lasso. In: Proc Soc Photo Opt Instrum Eng; 2014. p. 9034-90342L.
-
Proc Soc Photo Opt Instrum Eng; 2014
, pp. 9034-90342L
-
-
Tsao, S.1
Gajawelli, N.2
Zhou, J.3
Shi, J.4
Ye, J.5
Wang, Y.6
-
45
-
-
84899674515
-
Longitudinal deformation models, spatial regularizations and learning strategies to quantify Alzheimer's disease progression
-
Apr PMID: 24936423
-
Fiot J, Raguet H, Risser L, Cohen L, Fripp J, Vialard F. Longitudinal deformation models, spatial regularizations and learning strategies to quantify Alzheimer's disease progression. NeuroImage Clin. 2014 Apr; 4. doi: 10.1016/j.nicl.2014.02.002 PMID: 24936423
-
(2014)
NeuroImage Clin
, vol.4
-
-
Fiot, J.1
Raguet, H.2
Risser, L.3
Cohen, L.4
Fripp, J.5
Vialard, F.6
|