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Volumn 95, Issue 30, 2016, Pages e6669-

Erratum: Discriminative analysis of schizophrenia using support vector machine and recursive feature elimination on structural MRI images (Medicine and Science in Sports and Exercise (2016) 95:30 (e3973) DOI: 10.1097/MD.0000000000003973);Discriminative analysis of schizophrenia using support vector machine and recursive feature elimination on structural MRI images

Author keywords

recursive feature elimination; region of interest; schizophrenia; support vector machine; voxel based morphometry

Indexed keywords

ADULT; ARTICLE; BRAIN SIZE; CLINICAL ARTICLE; CONTROLLED STUDY; EMOTION; FEMALE; GRAY MATTER; HUMAN; IMAGE ANALYSIS; MACHINE LEARNING; MALE; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGICAL ANATOMY; POSITIVE AND NEGATIVE SYNDROME SCALE; PRIORITY JOURNAL; RECURSIVE FEATURE ELIMINATION; SCHIZOPHRENIA; SUPPORT VECTOR MACHINE; VISION; VISUAL MEMORY; VOXEL BASED MORPHOMETRY; WHITE MATTER; CASE CONTROL STUDY; IMAGE PROCESSING; PATHOLOGY; SENSITIVITY AND SPECIFICITY;

EID: 84982803482     PISSN: 00257974     EISSN: 15365964     Source Type: Journal    
DOI: 10.1097/01.MD.0000504794.22466.69     Document Type: Erratum
Times cited : (86)

References (98)
  • 1
    • 84931957507 scopus 로고    scopus 로고
    • A review of structural neuroimaging in schizophrenia: From connectivity to connectomics
    • Wheeler AL, Voineskos AN. A review of structural neuroimaging in schizophrenia: from connectivity to connectomics. Front Hum Neurosci 2014;8:653.
    • (2014) Front Hum Neurosci , vol.8 , pp. 653
    • Wheeler, A.L.1    Voineskos, A.N.2
  • 2
    • 78149462958 scopus 로고    scopus 로고
    • The environment and schizophrenia
    • van Os J, Kenis G, Rutten BP. The environment and schizophrenia. Nature 2010;468:203-12.
    • (2010) Nature , vol.468 , pp. 203-212
    • Van Os, J.1    Kenis, G.2    Rutten, B.P.3
  • 3
    • 84941923196 scopus 로고    scopus 로고
    • Patterns of gray matter abnormalities in schizophrenia based on an international mega-analysis
    • Gupta CN, Calhoun VD, Rachakonda S, et al. Patterns of gray matter abnormalities in schizophrenia based on an international mega-analysis. Schizophr Bull 2015;41:1133-42.
    • (2015) Schizophr Bull , vol.41 , pp. 1133-1142
    • Gupta, C.N.1    Calhoun, V.D.2    Rachakonda, S.3
  • 5
    • 84870855298 scopus 로고    scopus 로고
    • Progressive loss of cortical gray matter in schizophrenia: A meta-analysis and meta-regression of longitudinal MRI studies
    • Vita A, et al. Progressive loss of cortical gray matter in schizophrenia: a meta-analysis and meta-regression of longitudinal MRI studies. Transl Psychiatry 2012;2:e190.
    • (2012) Transl Psychiatry , vol.2 , pp. e190
    • Vita, A.1
  • 6
    • 84941321374 scopus 로고    scopus 로고
    • In search of multimodal neuroimaging biomarkers of cognitive deficits in schizophrenia
    • Sui J, Pearlson GD, Du Y, et al. In search of multimodal neuroimaging biomarkers of cognitive deficits in schizophrenia. Biol Psychiatry 2015;78:794-804.
    • (2015) Biol Psychiatry , vol.78 , pp. 794-804
    • Sui, J.1    Pearlson, G.D.2    Du, Y.3
  • 7
    • 84861461859 scopus 로고    scopus 로고
    • Structural abnormalities in language circuits in genetic highrisk subjects and schizophrenia patients
    • Li X, et al. Structural abnormalities in language circuits in genetic highrisk subjects and schizophrenia patients. Psychiatry Res 2012;201: 182-9.
    • (2012) Psychiatry Res , vol.201 , pp. 182-189
    • Li, X.1
  • 8
    • 84937561509 scopus 로고    scopus 로고
    • Alterations of the occipital lobe in schizophrenia
    • Tohid H, Faizan M, Faizan U. Alterations of the occipital lobe in schizophrenia. Neurosciences (Riyadh) 2015;20:213-24.
    • (2015) Neurosciences (Riyadh) , vol.20 , pp. 213-224
    • Tohid, H.1    Faizan, M.2    Faizan, U.3
  • 9
    • 50249087002 scopus 로고    scopus 로고
    • Structural brain alterations at different stages of schizophrenia: A voxel-based morphometric study
    • Meisenzahl EM, Koutsouleris N, Bottlender R, et al. Structural brain alterations at different stages of schizophrenia: A voxel-based morphometric study. Schizophrenia Res 2008;104:44-60.
    • (2008) Schizophrenia Res , vol.104 , pp. 44-60
    • Meisenzahl, E.M.1    Koutsouleris, N.2    Bottlender, R.3
  • 10
    • 59449095863 scopus 로고    scopus 로고
    • Neuroanatomical differences between familial and sporadic schizophrenia and their parents: An optimized voxel-based morphometry study
    • Lui S, Deng W, Huang XQ, et al. Neuroanatomical differences between familial and sporadic schizophrenia and their parents: An optimized voxel-based morphometry study. Psychiatry Res Neuroimaging 2009; 171:71-81.
    • (2009) Psychiatry Res Neuroimaging , vol.171 , pp. 71-81
    • Lui, S.1    Deng, W.2    Huang, X.Q.3
  • 11
    • 61449193335 scopus 로고    scopus 로고
    • Source-based morphometry: The use of independent component analysis to identify gray matter differences with application to schizophrenia
    • Xu L, et al. Source-based morphometry: the use of independent component analysis to identify gray matter differences with application to schizophrenia. Human Brain Mapping 2009;30:711-24.
    • (2009) Human Brain Mapping , vol.30 , pp. 711-724
    • Xu, L.1
  • 12
    • 65649125261 scopus 로고    scopus 로고
    • The thalamus and schizophrenia: Current status of research
    • Byne W, Hazlett EA, Buchsbaum MS, et al. The thalamus and schizophrenia: current status of research. Acta Neuropathol 2009; 117:347-68.
    • (2009) Acta Neuropathol , vol.117 , pp. 347-368
    • Byne, W.1    Hazlett, E.A.2    Buchsbaum, M.S.3
  • 13
    • 14844321299 scopus 로고    scopus 로고
    • Disconnection and cognitive dysmetria in schizophrenia
    • Friston KJ. Disconnection and cognitive dysmetria in schizophrenia. Am J Psychiatry 2005;162:429-32.
    • (2005) Am J Psychiatry , vol.162 , pp. 429-432
    • Friston, K.J.1
  • 14
    • 33746654582 scopus 로고    scopus 로고
    • Synaptic plasticity and dysconnection in schizophrenia
    • Stephan KE, Baldeweg T, Friston KJ. Synaptic plasticity and dysconnection in schizophrenia. Biol Psychiatry 2006;59:929-39.
    • (2006) Biol Psychiatry , vol.59 , pp. 929-939
    • Stephan, K.E.1    Baldeweg, T.2    Friston, K.J.3
  • 15
    • 60249093730 scopus 로고    scopus 로고
    • Meta-analysis of diffusion tensor imaging studies in schizophrenia
    • Ellison-Wright I, Bullmore E. Meta-analysis of diffusion tensor imaging studies in schizophrenia. Schizophr Res 2009;108:3-10.
    • (2009) Schizophr Res , vol.108 , pp. 3-10
    • Ellison-Wright, I.1    Bullmore, E.2
  • 16
    • 84938830819 scopus 로고    scopus 로고
    • White matter alterations in first episode treatment-naive patients with deficit schizophrenia: A combined VBM and DTI study
    • Lei W, et al. White matter alterations in first episode treatment-naive patients with deficit schizophrenia: a combined VBM and DTI study. Sci Rep 2015;5:12994.
    • (2015) Sci Rep , vol.5 , pp. 12994
    • Lei, W.1
  • 17
    • 81255167360 scopus 로고    scopus 로고
    • A voxel based morphometry study investigating brain structural changes in first episode psychosis
    • Watson DR, et al. A voxel based morphometry study investigating brain structural changes in first episode psychosis. Behav. Brain Res 2012; 227:91-9.
    • (2012) Behav. Brain Res , vol.227 , pp. 91-99
    • Watson, D.R.1
  • 18
    • 71549162060 scopus 로고    scopus 로고
    • White matter reduction in patients with schizophrenia as revealed by voxel-based morphometry: An activation likelihood estimation meta-analysis
    • Di X, Chan RCK, Gong QY. White matter reduction in patients with schizophrenia as revealed by voxel-based morphometry: an activation likelihood estimation meta-analysis. Prog Neuropsychopharmacol Biol Psychiatry 2009;33:1390-4.
    • (2009) Prog Neuropsychopharmacol Biol Psychiatry , vol.33 , pp. 1390-1394
    • Di, X.1    Chan, R.C.K.2    Gong, Q.Y.3
  • 19
    • 84933677628 scopus 로고    scopus 로고
    • Discriminative analysis of non-linear brain connectivity in schizophrenia: An fMRI Study
    • Su L, Wang L, Shen H, et al. Discriminative analysis of non-linear brain connectivity in schizophrenia: an fMRI Study. Front Hum Neurosci 2013;7:702.
    • (2013) Front Hum Neurosci , vol.7 , pp. 702
    • Su, L.1    Wang, L.2    Shen, H.3
  • 20
    • 73749086757 scopus 로고    scopus 로고
    • Discriminative analysis of resting-state functional connectivity patterns of schizophrenia using low dimensional embedding of fMRI
    • Shen H, Wang L, Liu Y, et al. Discriminative analysis of resting-state functional connectivity patterns of schizophrenia using low dimensional embedding of fMRI. Neuroimage 2010;49:3110-21.
    • (2010) Neuroimage , vol.49 , pp. 3110-3121
    • Shen, H.1    Wang, L.2    Liu, Y.3
  • 21
    • 79951853456 scopus 로고    scopus 로고
    • Maximum-uncertainty linear discrimination analysis of first-episode schizophrenia subjects
    • Kasparek T, Thomaz CE, Sato JR, et al. Maximum-uncertainty linear discrimination analysis of first-episode schizophrenia subjects. Psychiatry Res 2011;191:174-81.
    • (2011) Psychiatry Res , vol.191 , pp. 174-181
    • Kasparek, T.1    Thomaz, C.E.2    Sato, J.R.3
  • 22
    • 84880254768 scopus 로고    scopus 로고
    • Classification of schizophrenia patients and healthy controls using p100 event-related potentials for visual processing
    • Tanaka S, Maezawa Y, Kirino E. Classification of schizophrenia patients and healthy controls using p100 event-related potentials for visual processing. Neuropsychobiology 2013;68:71-8.
    • (2013) Neuropsychobiology , vol.68 , pp. 71-78
    • Tanaka, S.1    Maezawa, Y.2    Kirino, E.3
  • 23
    • 84861187769 scopus 로고    scopus 로고
    • Classification of schizophrenia patients and healthy controls from structural MRI scans in two large independent samples
    • NieuwenhuisM, van Haren NE, Hulshoff Pol HE, et al. Classification of schizophrenia patients and healthy controls from structural MRI scans in two large independent samples. Neuroimage 2012;61:606-12.
    • (2012) Neuroimage , vol.61 , pp. 606-612
    • Nieuwenhuis, M.1    Van Haren, N.E.2    Hulshoff Pol, H.E.3
  • 24
    • 84877278047 scopus 로고    scopus 로고
    • Using multivariate machine learning methods and structural MRI to classify childhood onset schizophrenia and healthy controls
    • Greenstein D, Malley JD, Weisinger B, et al. Using multivariate machine learning methods and structural MRI to classify childhood onset schizophrenia and healthy controls. Front Psychiatry 2012;3:53.
    • (2012) Front Psychiatry , vol.3 , pp. 53
    • Greenstein, D.1    Malley, J.D.2    Weisinger, B.3
  • 25
    • 39749191312 scopus 로고    scopus 로고
    • Automatic classification ofMR scans in Alzheimers disease
    • Kloppel S, Stonnington CM, Chu C, et al. Automatic classification ofMR scans in Alzheimers disease. Brain 2008;131:681-9.
    • (2008) Brain , vol.131 , pp. 681-689
    • Kloppel, S.1    Stonnington, C.M.2    Chu, C.3
  • 26
    • 84855434935 scopus 로고    scopus 로고
    • Discriminative analysis of early Alzheimer's disease using multi-modal imaging and multi-level characterization with multi-classifier (M3)
    • Dai Z, Yan C, Wang Z, et al. Discriminative analysis of early Alzheimer's disease using multi-modal imaging and multi-level characterization with multi-classifier (M3). Neuroimage 2012;59:2187-95.
    • (2012) Neuroimage , vol.59 , pp. 2187-2195
    • Dai, Z.1    Yan, C.2    Wang, Z.3
  • 27
    • 84887361661 scopus 로고    scopus 로고
    • Discriminative brain effective connectivity analysis for Alzheimer's disease: A kernel learning approach upon sparse Gaussian Bayesian network
    • Zhou L, Wang L, Liu L, et al. Discriminative brain effective connectivity analysis for Alzheimer's disease: a kernel learning approach upon sparse Gaussian Bayesian network. Conf Comput Vis Pattern Recognit Workshops 2013;2013:2243-50.
    • (2013) Conf Comput Vis Pattern Recognit Workshops , vol.2013 , pp. 2243-2250
    • Zhou, L.1    Wang, L.2    Liu, L.3
  • 28
    • 34548183245 scopus 로고    scopus 로고
    • Hippocampal shape analysis of Alzheimer disease based on machine learning methods
    • Li S, Shi F, Pu F, et al. Hippocampal shape analysis of Alzheimer disease based on machine learning methods. Am J Neuroradiol 2007;28: 1339-45.
    • (2007) Am J Neuroradiol , vol.28 , pp. 1339-1345
    • Li, S.1    Shi, F.2    Pu, F.3
  • 29
    • 84929439174 scopus 로고    scopus 로고
    • Discriminative analysis of major depressive disorder and anxious depression using support vector machine
    • Chi M, Guo S, Ning Y, et al. Discriminative analysis of major depressive disorder and anxious depression using support vector machine. J Comput Theor Nanosci 2015;12:1395-401.
    • (2015) J Comput Theor Nanosci , vol.12 , pp. 1395-1401
    • Chi, M.1    Guo, S.2    Ning, Y.3
  • 30
    • 84922041539 scopus 로고    scopus 로고
    • Using support vector machine to identify imaging biomarkers of major depressive disorder and anxious depression
    • Berlin:Springer
    • Chi MY, Guo SW, Ning YP, et al. Using support vector machine to identify imaging biomarkers of major depressive disorder and anxious depression. Bio-Inspired Computing-Theories and Applications. Vol 472 2014;Berlin:Springer, 63-67.
    • (2014) Bio-Inspired Computing-Theories and Applications , vol.472 , pp. 63-67
    • Chi, M.Y.1    Guo, S.W.2    Ning, Y.P.3
  • 31
    • 79952708926 scopus 로고    scopus 로고
    • 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;55:1497-503.
    • (2011) Neuroimage , vol.55 , pp. 1497-1503
    • Gong, Q.1    Wu, Q.2    Scarpazza, C.3
  • 32
    • 84943198701 scopus 로고    scopus 로고
    • Classifying adolescent attentiondeficit/hyperactivity disorder (ADHD) based on functional and structural imaging
    • Iannaccone R, Hauser TU, Ball J, et al. Classifying adolescent attentiondeficit/hyperactivity disorder (ADHD) based on functional and structural imaging. Eur Child Adolesc Psychiatry 2015;24:1279-89.
    • (2015) Eur Child Adolesc Psychiatry , vol.24 , pp. 1279-1289
    • Iannaccone, R.1    Hauser, T.U.2    Ball, J.3
  • 34
    • 38949129350 scopus 로고    scopus 로고
    • Fisher discriminative analysis of resting-state brain function for attention-deficit/hyperactivity disorder
    • Zhu C-Z, Zang Y-F, Cao Q-J, et al. Fisher discriminative analysis of resting-state brain function for attention-deficit/hyperactivity disorder. NeuroImage 2008;40:110-20.
    • (2008) NeuroImage , vol.40 , pp. 110-120
    • Zhu, C.-Z.1    Zang, Y.-F.2    Cao, Q.-J.3
  • 35
    • 84956583129 scopus 로고    scopus 로고
    • Multivariate classification of smokers and nonsmokers using SVM-RFE on structural MRI images
    • Ding X, Yang Y, Stein EA, et al. Multivariate classification of smokers and nonsmokers using SVM-RFE on structural MRI images. Human Brain mapping 2015;36:4869-79.
    • (2015) Human Brain Mapping , vol.36 , pp. 4869-4879
    • Ding, X.1    Yang, Y.2    Stein, E.A.3
  • 36
    • 11144336199 scopus 로고    scopus 로고
    • The nature of statistical learning theory
    • Cherkassky V. The nature of statistical learning theory. IEEE Trans Neural Netw 1997;8:1564.
    • (1997) IEEE Trans Neural Netw , vol.8 , pp. 1564
    • Cherkassky, V.1
  • 37
    • 84929497510 scopus 로고    scopus 로고
    • Combination of FMRI-SMRI-EEG data improves discrimination of schizophrenia patients by ensemble feature selection
    • Sui J, Castro E, He H, et al. Combination of FMRI-SMRI-EEG data improves discrimination of schizophrenia patients by ensemble feature selection. Conf Proc IEEE Eng Med Biol Soc 2014;2014:3889-92.
    • (2014) Conf Proc IEEE Eng Med Biol Soc , vol.2014 , pp. 3889-3892
    • Sui, J.1    Castro, E.2    He, H.3
  • 38
    • 84935595548 scopus 로고    scopus 로고
    • Local activity features for computer aided diagnosis of schizophrenia on resting-state fMRI
    • Savio A, Graña M. Local activity features for computer aided diagnosis of schizophrenia on resting-state fMRI. Neurocomputing 2015;164: 154-61.
    • (2015) Neurocomputing , vol.164 , pp. 154-161
    • Savio, A.1    Graña, M.2
  • 39
    • 79960325818 scopus 로고    scopus 로고
    • Prediction of drought-resistant genes in Arabidopsis thaliana using SVM-RFE
    • Liang Y, Zhang F,Wang J, et al. Prediction of drought-resistant genes in Arabidopsis thaliana using SVM-RFE. PLoS One 2011;6:e21750.
    • (2011) PLoS One , vol.6 , pp. e21750
    • Liang, Y.1    Zhang, F.2    Wang, J.3
  • 40
    • 0036161259 scopus 로고    scopus 로고
    • Gene selection for cancer classification using support vector machines
    • Guyon I, Weston J, Barnhill S. Gene selection for cancer classification using support vector machines. Mach Learn 2002;46:389-422.
    • (2002) Mach Learn , vol.46 , pp. 389-422
    • Guyon, I.1    Weston, J.2    Barnhill, S.3
  • 41
    • 70350134243 scopus 로고    scopus 로고
    • Mutual information-based SVM-RFE for diagnostic classification of digitized mammograms
    • Yoon S, Kim S. Mutual information-based SVM-RFE for diagnostic classification of digitized mammograms. Pattern Recognit Lett 2009; 30:1489-95.
    • (2009) Pattern Recognit Lett , vol.30 , pp. 1489-1495
    • Yoon, S.1    Kim, S.2
  • 43
    • 0023606101 scopus 로고
    • The positive and negative syndrome scale (PANSS) for schizophrenia
    • Kay SR, Fiszbein A, Opler LA. The positive and negative syndrome scale (PANSS) for schizophrenia. Schizophr Bull 1987;13:261-76.
    • (1987) Schizophr Bull , vol.13 , pp. 261-276
    • Kay, S.R.1    Fiszbein, A.2    Opler, L.A.3
  • 44
    • 84892714904 scopus 로고    scopus 로고
    • Voxel-based gray and white matter morphometry correlates of hallucinations in schizophrenia: The superior temporal gyrus does not stand alone
    • van Tol MJ, van der Meer L, Bruggeman R, et al. Voxel-based gray and white matter morphometry correlates of hallucinations in schizophrenia: The superior temporal gyrus does not stand alone. Neuroimage Clin 2014;4:249-57.
    • (2014) Neuroimage Clin , vol.4 , pp. 249-257
    • Van Tol, M.J.1    Van Der Meer, L.2    Bruggeman, R.3
  • 45
    • 84920800796 scopus 로고    scopus 로고
    • Gray matter volume abnormalities in depressive patients with and without anxiety disorders
    • Qi H, Ning Y, Li J, et al. Gray matter volume abnormalities in depressive patients with and without anxiety disorders. Medicine 2014;93:e345.
    • (2014) Medicine , vol.93 , pp. e345
    • Qi, H.1    Ning, Y.2    Li, J.3
  • 46
    • 34548832230 scopus 로고    scopus 로고
    • A fast diffeomorphic image registration algorithm
    • Ashburner J. A fast diffeomorphic image registration algorithm. Neuroimage 2007;38:95-113.
    • (2007) Neuroimage , vol.38 , pp. 95-113
    • Ashburner, J.1
  • 47
    • 0034870929 scopus 로고    scopus 로고
    • Cerebral asymmetry and the effects of sex and handedness on brain structure: A voxel-based morphometric analysis of 465 normal adult human brains
    • Good CD, Johnsrude I, Ashburner J, et al. Cerebral asymmetry and the effects of sex and handedness on brain structure: a voxel-based morphometric analysis of 465 normal adult human brains. Neuroimage 2001;14:685-700.
    • (2001) Neuroimage , vol.14 , pp. 685-700
    • Good, C.D.1    Johnsrude, I.2    Ashburner, J.3
  • 48
    • 84863337977 scopus 로고    scopus 로고
    • Topologically convergent and divergent structural connectivity patterns between patients with remitted geriatric depression and amnestic mild cognitive impairment
    • Bai F, Shu N, Yuan Y, et al. Topologically convergent and divergent structural connectivity patterns between patients with remitted geriatric depression and amnestic mild cognitive impairment. J Neurosci 2012; 32:4307-18.
    • (2012) J Neurosci , vol.32 , pp. 4307-4318
    • Bai, F.1    Shu, N.2    Yuan, Y.3
  • 49
    • 84890490929 scopus 로고    scopus 로고
    • Topological organization of the human brain functional connectome across the lifespan
    • Cao M, Wang JH, Dai ZJ, et al. Topological organization of the human brain functional connectome across the lifespan. Dev Cogn Neurosci 2014;7:76-93.
    • (2014) Dev Cogn Neurosci , vol.7 , pp. 76-93
    • Cao, M.1    Wang, J.H.2    Dai, Z.J.3
  • 50
    • 84873647166 scopus 로고    scopus 로고
    • Disrupted functional brain connectome in individuals at risk for Alzheimer's disease
    • Wang J, Zuo X, Dai Z, et al. Disrupted functional brain connectome in individuals at risk for Alzheimer's disease. Biol Psychiatry 2013;73: 472-81.
    • (2013) Biol Psychiatry , vol.73 , pp. 472-481
    • Wang, J.1    Zuo, X.2    Dai, Z.3
  • 51
    • 77349095673 scopus 로고    scopus 로고
    • Whole-brain anatomical networks: Does the choice of nodes matter?
    • Zalesky A, Fornito A, Harding IH, et al. Whole-brain anatomical networks: does the choice of nodes matter? Neuroimage 2010;50: 970-83.
    • (2010) Neuroimage , vol.50 , pp. 970-983
    • Zalesky, A.1    Fornito, A.2    Harding, I.H.3
  • 52
    • 0036322886 scopus 로고    scopus 로고
    • Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain
    • Tzourio-Mazoyer N, Landeau B, Papathanassiou D, et al. Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. Neuroimage 2002;15:273-89.
    • (2002) Neuroimage , vol.15 , pp. 273-289
    • Tzourio-Mazoyer, N.1    Landeau, B.2    Papathanassiou, D.3
  • 53
    • 34249753618 scopus 로고
    • Support-vector networks
    • Cortes C, Vapnik V. Support-vector networks. Mach Learn 1995;20: 273-97.
    • (1995) Mach Learn , vol.20 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 56
    • 79951662909 scopus 로고    scopus 로고
    • SVM-RFE based feature selection for tandem mass spectrum quality assessment
    • Ding J, Shi J, Wu FX. SVM-RFE based feature selection for tandem mass spectrum quality assessment. Int J Data Min Bioinform 2011;5: 73-88.
    • (2011) Int J Data Min Bioinform , vol.5 , pp. 73-88
    • Ding, J.1    Shi, J.2    Wu, F.X.3
  • 57
    • 84859166319 scopus 로고    scopus 로고
    • Determining optimal neighborhood size for ecological studies using leave-one-out cross validation
    • Kim DR, AliM, Sur D, et al. Determining optimal neighborhood size for ecological studies using leave-one-out cross validation. Int J Health Geogr 2012;11:10.
    • (2012) Int J Health Geogr , vol.11 , pp. 10
    • Kim, D.R.1    Ali, M.2    Sur, D.3
  • 59
    • 0033566418 scopus 로고    scopus 로고
    • Algorithmic stability and sanity-check bounds for leave-one-out cross-validation
    • Kearns M, Ron D. Algorithmic stability and sanity-check bounds for leave-one-out cross-validation. Neural Comput 1999;11:1427-53.
    • (1999) Neural Comput , vol.11 , pp. 1427-1453
    • Kearns, M.1    Ron, D.2
  • 60
    • 28444452344 scopus 로고    scopus 로고
    • Permutation tests for classification: Towards statistical significance in image-based studies
    • Golland P, Fischl B. Permutation tests for classification: towards statistical significance in image-based studies. Inf Process Med Imaging 2003;18:330-41.
    • (2003) Inf Process Med Imaging , vol.18 , pp. 330-341
    • Golland, P.1    Fischl, B.2
  • 61
    • 84889584090 scopus 로고    scopus 로고
    • Multivariate classification of social anxiety disorder using whole brain functional connectivity
    • Liu F, Guo W, Fouche JP, et al. Multivariate classification of social anxiety disorder using whole brain functional connectivity. Brain Struct Funct 2015;220:101-15.
    • (2015) Brain Struct Funct , vol.220 , pp. 101-115
    • Liu, F.1    Guo, W.2    Fouche, J.P.3
  • 62
    • 84956583129 scopus 로고    scopus 로고
    • Multivariate classification of smokers and nonsmokers using SVM-RFE on structural MRI images
    • Ding X, Yang Y, Stein EA, et al. Multivariate classification of smokers and nonsmokers using SVM-RFE on structural MRI images. Hum Brain Mapp 2015;36:4869-79.
    • (2015) Hum Brain Mapp , vol.36 , pp. 4869-4879
    • Ding, X.1    Yang, Y.2    Stein, E.A.3
  • 63
    • 37049034228 scopus 로고    scopus 로고
    • Unaffected family members and schizophrenia patients share brain structure patterns: A high-dimensional pattern classification study
    • Fan Y, et al. Unaffected family members and schizophrenia patients share brain structure patterns: A high-dimensional pattern classification study. Biol Psychiatry 2008;63:118-24.
    • (2008) Biol Psychiatry , vol.63 , pp. 118-124
    • Fan, Y.1
  • 64
    • 47949115223 scopus 로고    scopus 로고
    • Application of principal component analysis to distinguish patients with schizophrenia from healthy controls based on fractional anisotropy measurements
    • Caprihan A, Pearlson GD, Calhoun VD. Application of principal component analysis to distinguish patients with schizophrenia from healthy controls based on fractional anisotropy measurements. Neuroimage 2008;42:675-82.
    • (2008) Neuroimage , vol.42 , pp. 675-682
    • Caprihan, A.1    Pearlson, G.D.2    Calhoun, V.D.3
  • 65
    • 65549168742 scopus 로고    scopus 로고
    • 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)):S199-209.
    • (2009) Neuroimage , vol.45 , Issue.1 , pp. S199-209
    • Pereira, F.1    Mitchell, T.2    Botvinick, M.3
  • 66
    • 77956517416 scopus 로고    scopus 로고
    • Prediction of individual brain maturity using fMRI
    • Dosenbach NU, Nardos B, Cohen AL, et al. Prediction of individual brain maturity using fMRI. Science 2010;329:1358-61.
    • (2010) Science , vol.329 , pp. 1358-1361
    • Dosenbach, N.U.1    Nardos, B.2    Cohen, A.L.3
  • 67
    • 84907998269 scopus 로고    scopus 로고
    • Decreased gray matter volume in the left middle temporal gyrus as a candidate biomarker for schizophrenia: A study of drug naive, first-episode schizophrenia patients and unaffected siblings
    • Guo W, Hu M, Fan X, et al. Decreased gray matter volume in the left middle temporal gyrus as a candidate biomarker for schizophrenia: a study of drug naive, first-episode schizophrenia patients and unaffected siblings. Schizophr Res 2014;159:43-50.
    • (2014) Schizophr Res , vol.159 , pp. 43-50
    • Guo, W.1    Hu, M.2    Fan, X.3
  • 68
    • 84923362746 scopus 로고    scopus 로고
    • Regional white matter abnormalities in drug-naive, first-episode schizophrenia patients and their healthy unaffected siblings
    • Lyu H, Hu M, Eyler LT, et al. Regional white matter abnormalities in drug-naive, first-episode schizophrenia patients and their healthy unaffected siblings. Aust N Z J Psychiatry 2015;49:246-54.
    • (2015) Aust N Z J Psychiatry , vol.49 , pp. 246-254
    • Lyu, H.1    Hu, M.2    Eyler, L.T.3
  • 69
    • 84873522857 scopus 로고    scopus 로고
    • Decreased left middle temporal gyrus volume in antipsychotic drug-naive, first-episode schizophrenia patients and their healthy unaffected siblings
    • Hu M, Li J, Eyler L, et al. Decreased left middle temporal gyrus volume in antipsychotic drug-naive, first-episode schizophrenia patients and their healthy unaffected siblings. Schizophr Res 2013;144:37-42.
    • (2013) Schizophr Res , vol.144 , pp. 37-42
    • Hu, M.1    Li, J.2    Eyler, L.3
  • 70
    • 33845988008 scopus 로고    scopus 로고
    • Regionally specific cortical thinning and gray matter abnormalities in the healthy relatives of schizophrenia patients
    • Goghari VM, Rehm K, Carter CS, et al. Regionally specific cortical thinning and gray matter abnormalities in the healthy relatives of schizophrenia patients. Cereb Cortex 2007;17:415-24.
    • (2007) Cereb Cortex , vol.17 , pp. 415-424
    • Goghari, V.M.1    Rehm, K.2    Carter, C.S.3
  • 71
    • 60549107275 scopus 로고    scopus 로고
    • Mapping grey matter reductions in schizophrenia: An anatomical likelihood estimation analysis of voxelbased morphometry studies
    • Fornito A, Yucel M, Patti J, et al. Mapping grey matter reductions in schizophrenia: an anatomical likelihood estimation analysis of voxelbased morphometry studies. Schizophr Res 2009;108:104-13.
    • (2009) Schizophr Res , vol.108 , pp. 104-113
    • Fornito, A.1    Yucel, M.2    Patti, J.3
  • 72
    • 79952304482 scopus 로고    scopus 로고
    • Neuroanatomical abnormalities in schizophrenia: A multimodal voxelwise meta-analysis and meta-regression analysis
    • Bora E, Fornito A, Radua J, et al. Neuroanatomical abnormalities in schizophrenia: a multimodal voxelwise meta-analysis and meta-regression analysis. Schizophr Res 2011;127:46-57.
    • (2011) Schizophr Res , vol.127 , pp. 46-57
    • Bora, E.1    Fornito, A.2    Radua, J.3
  • 73
    • 2942623874 scopus 로고    scopus 로고
    • Reduced superior temporal gyrus volume in young offspring of patients with schizophrenia
    • Rajarethinam R, Sahni S, Rosenberg DR, et al. Reduced superior temporal gyrus volume in young offspring of patients with schizophrenia. Am J Psychiatry 2004;161:1121-4.
    • (2004) Am J Psychiatry , vol.161 , pp. 1121-1124
    • Rajarethinam, R.1    Sahni, S.2    Rosenberg, D.R.3
  • 74
    • 33846278344 scopus 로고    scopus 로고
    • Middle and inferior temporal gyrus gray matter volume abnormalities in first-episode schizophrenia: An MRI study
    • Kuroki N, Shenton ME, Salisbury DF, et al. Middle and inferior temporal gyrus gray matter volume abnormalities in first-episode schizophrenia: an MRI study. Am J Psychiatry 2006;163:2103-10.
    • (2006) Am J Psychiatry , vol.163 , pp. 2103-2110
    • Kuroki, N.1    Shenton, M.E.2    Salisbury, D.F.3
  • 75
    • 4444234425 scopus 로고    scopus 로고
    • Middle and inferior temporal gyrus gray matter volume abnormalities in chronic schizophrenia: An MRI study
    • Onitsuka T, Shenton ME, Salisbury DF, et al. Middle and inferior temporal gyrus gray matter volume abnormalities in chronic schizophrenia: an MRI study. Am J Psychiatry 2004;161:1603-11.
    • (2004) Am J Psychiatry , vol.161 , pp. 1603-1611
    • Onitsuka, T.1    Shenton, M.E.2    Salisbury, D.F.3
  • 76
    • 84941321374 scopus 로고    scopus 로고
    • In search of multimodal neuroimaging biomarkers of cognitive deficits in schizophrenia
    • Sui J, Pearlson GD, Du Y, et al. In search of multimodal neuroimaging biomarkers of cognitive deficits in schizophrenia. Biol Psychiatry 2015;78:794-804.
    • (2015) Biol Psychiatry , vol.78 , pp. 794-804
    • Sui, J.1    Pearlson, G.D.2    Du, Y.3
  • 78
    • 53249095969 scopus 로고    scopus 로고
    • Meta-analysis of gray matter anomalies in schizophrenia: Application of anatomic likelihood estimation and network analysis
    • Glahn DC, Laird AR, Ellison-Wright I, et al. Meta-analysis of gray matter anomalies in schizophrenia: application of anatomic likelihood estimation and network analysis. Biol Psychiatry 2008;64:774-81.
    • (2008) Biol Psychiatry , vol.64 , pp. 774-781
    • Glahn, D.C.1    Laird, A.R.2    Ellison-Wright, I.3
  • 80
    • 34347257786 scopus 로고    scopus 로고
    • Olanzapine increases grey and white matter volumes in the caudate nucleus of patients with schizophrenia
    • Okugawa G, Nobuhara K, Takase K, et al. Olanzapine increases grey and white matter volumes in the caudate nucleus of patients with schizophrenia. Neuropsychobiology 2007;55:43-6.
    • (2007) Neuropsychobiology , vol.55 , pp. 43-46
    • Okugawa, G.1    Nobuhara, K.2    Takase, K.3
  • 81
    • 44649120306 scopus 로고    scopus 로고
    • The social-emotional processing stream: Five core constructs and their translational potential for schizophrenia and beyond
    • Ochsner KN. The social-emotional processing stream: five core constructs and their translational potential for schizophrenia and beyond. Biol Psychiatry 2008;64:48-61.
    • (2008) Biol Psychiatry , vol.64 , pp. 48-61
    • Ochsner, K.N.1
  • 82
    • 1842684992 scopus 로고    scopus 로고
    • Neural coding of basic reward terms of animal learning theory, game theory, microeconomics and behavioural ecology
    • Schultz W. Neural coding of basic reward terms of animal learning theory, game theory, microeconomics and behavioural ecology. Curr Opin Neurobiol 2004;14:139-47.
    • (2004) Curr Opin Neurobiol , vol.14 , pp. 139-147
    • Schultz, W.1
  • 84
    • 84923229096 scopus 로고    scopus 로고
    • Blunted brain activation in patients with schizophrenia in response to emotional cognitive inhibition: A functional near-infrared spectroscopy study
    • Egashira K, Matsuo K, Nakashima M, et al. Blunted brain activation in patients with schizophrenia in response to emotional cognitive inhibition: a functional near-infrared spectroscopy study. Schizophr Res 2015;162:196-204.
    • (2015) Schizophr Res , vol.162 , pp. 196-204
    • Egashira, K.1    Matsuo, K.2    Nakashima, M.3
  • 85
    • 78650981992 scopus 로고    scopus 로고
    • The neural bases of social cognition and story comprehension
    • Mar RA. The neural bases of social cognition and story comprehension. Annu Rev Psychol 2011;62:103-34.
    • (2011) Annu Rev Psychol , vol.62 , pp. 103-134
    • Mar, R.A.1
  • 86
    • 69249213444 scopus 로고    scopus 로고
    • Understanding others' actions and goals by mirror and mentalizing systems: A meta-analysis
    • Van Overwalle F, Baetens K. Understanding others' actions and goals by mirror and mentalizing systems: a meta-analysis. Neuroimage 2009;48: 564-84.
    • (2009) Neuroimage , vol.48 , pp. 564-584
    • Van Overwalle, F.1    Baetens, K.2
  • 87
    • 84856245877 scopus 로고    scopus 로고
    • Lower effective connectivity between amygdala and parietal regions in response to fearful faces in schizophrenia
    • Mukherjee P, Whalley HC, McKirdy JW, et al. Lower effective connectivity between amygdala and parietal regions in response to fearful faces in schizophrenia. Schizophrenia Res 2012;134:118-24.
    • (2012) Schizophrenia Res , vol.134 , pp. 118-124
    • Mukherjee, P.1    Whalley, H.C.2    McKirdy, J.W.3
  • 88
    • 84882449672 scopus 로고    scopus 로고
    • Alterations of superficial white matter in schizophrenia and relationship to cognitive performance
    • Nazeri A, Chakravarty MM, Felsky D, et al. Alterations of superficial white matter in schizophrenia and relationship to cognitive performance. Neuropsychopharmacology 2013;38:1954-62.
    • (2013) Neuropsychopharmacology , vol.38 , pp. 1954-1962
    • Nazeri, A.1    Chakravarty, M.M.2    Felsky, D.3
  • 89
    • 0032832346 scopus 로고    scopus 로고
    • Memory impairment in schizophrenia: A meta-analysis
    • Aleman A, Hijman R, de Haan EHF, et al. Memory impairment in schizophrenia: a meta-analysis. Am J Psychiatry 1999;156: 1358-66.
    • (1999) Am J Psychiatry , vol.156 , pp. 1358-1366
    • Aleman, A.1    Hijman, R.2    De Haan, E.H.F.3
  • 90
    • 84982840646 scopus 로고    scopus 로고
    • From conditioning to conscious recollection: Memory systems of the brain
    • Pender NP. From conditioning to conscious recollection: memory systems of the brain. Trends Cognitive Sci 2002;6:224-5.
    • (2002) Trends Cognitive Sci , vol.6 , pp. 224-225
    • Pender, N.P.1
  • 91
    • 84859302423 scopus 로고    scopus 로고
    • Hippocampal volume reduction in first-episode and chronic schizophrenia: A review and meta-analysis
    • Adriano F, Caltagirone C, Spalletta G. Hippocampal volume reduction in first-episode and chronic schizophrenia: a review and meta-analysis. Neuroscientist 2012;18:180-200.
    • (2012) Neuroscientist , vol.18 , pp. 180-200
    • Adriano, F.1    Caltagirone, C.2    Spalletta, G.3
  • 92
    • 44749094779 scopus 로고    scopus 로고
    • The cognitive neuroscience of memory function and dysfunction in schizophrenia
    • Ranganath C, Minzenberg MJ, Ragland JD. The cognitive neuroscience of memory function and dysfunction in schizophrenia. Biol Psychiatry 2008;64:18-25.
    • (2008) Biol Psychiatry , vol.64 , pp. 18-25
    • Ranganath, C.1    Minzenberg, M.J.2    Ragland, J.D.3
  • 93
    • 39949083013 scopus 로고    scopus 로고
    • Altered resting-state functional connectivity and anatomical connectivity of hippocampus in schizophrenia
    • Zhou Y, Shu N, Liu Y, et al. Altered resting-state functional connectivity and anatomical connectivity of hippocampus in schizophrenia. Schizophr Res 2008;100:120-32.
    • (2008) Schizophr Res , vol.100 , pp. 120-132
    • Zhou, Y.1    Shu, N.2    Liu, Y.3
  • 94
    • 20444466412 scopus 로고    scopus 로고
    • Dysfunction of early-stage visual processing in schizophrenia: Harmonic analysis
    • Kim D, Zemon V, Saperstein A, et al. Dysfunction of early-stage visual processing in schizophrenia: harmonic analysis. Schizophr Res 2005; 76:55-65.
    • (2005) Schizophr Res , vol.76 , pp. 55-65
    • Kim, D.1    Zemon, V.2    Saperstein, A.3
  • 95
    • 0036711814 scopus 로고    scopus 로고
    • Cortical and subcortical gray matter abnormalities in schizophrenia determined through structural magnetic resonance imaging with optimized volumetric voxel-based morphometry
    • Ananth H, Popescu I, Critchley HD, et al. Cortical and subcortical gray matter abnormalities in schizophrenia determined through structural magnetic resonance imaging with optimized volumetric voxel-based morphometry. Am J Psychiatry 2002;159:1497-505.
    • (2002) Am J Psychiatry , vol.159 , pp. 1497-1505
    • Ananth, H.1    Popescu, I.2    Critchley, H.D.3
  • 96
    • 34147219002 scopus 로고    scopus 로고
    • Occipital lobe gray matter volume in male patients with chronic schizophrenia: A quantitative MRI study
    • Onitsuka T, McCarley RW, Kuroki N, et al. Occipital lobe gray matter volume in male patients with chronic schizophrenia: a quantitative MRI study. Schizophrenia Res 2007;92:197-206.
    • (2007) Schizophrenia Res , vol.92 , pp. 197-206
    • Onitsuka, T.1    McCarley, R.W.2    Kuroki, N.3
  • 97
    • 84880333718 scopus 로고    scopus 로고
    • Combined white matter imaging suggests myelination defects in visual processing regions in schizophrenia
    • Palaniyappan L, Al-Radaideh A, Mougin O, et al. Combined white matter imaging suggests myelination defects in visual processing regions in schizophrenia. Neuropsychopharmacology 2013;38: 1808-15.
    • (2013) Neuropsychopharmacology , vol.38 , pp. 1808-1815
    • Palaniyappan, L.1    Al-Radaideh, A.2    Mougin, O.3
  • 98
    • 0028847356 scopus 로고
    • A functional neuroanatomy of hallucinations in schizophrenia
    • Silbersweig DA, Stern E, Frith C, et al. A functional neuroanatomy of hallucinations in schizophrenia. Nature 1995;378:176-9.
    • (1995) Nature , vol.378 , pp. 176-179
    • Silbersweig, D.A.1    Stern, E.2    Frith, C.3


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