메뉴 건너뛰기




Volumn 39, Issue 5, 2014, Pages 848-855

Multivariate classification of blood oxygen level-dependent fMRI data with diagnostic intention: A clinical perspective

Author keywords

[No Author keywords available]

Indexed keywords

ALZHEIMER DISEASE; ARTICLE; ATTENTION DEFICIT DISORDER; BOLD SIGNAL; CLASSIFICATION; CLASSIFICATION ALGORITHM; DATA PROCESSING; DEPRESSION; DIAGNOSTIC IMAGING; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; MACHINE LEARNING; PATTERN RECOGNITION; SCHIZOPHRENIA; SUPPORT VECTOR MACHINE; VALIDATION PROCESS; ANIMAL; BLOOD; BLOOD FLOW VELOCITY; BRAIN; BRAIN CIRCULATION; BRAIN MAPPING; COMPUTER ASSISTED DIAGNOSIS; EVIDENCE BASED MEDICINE; MULTIVARIATE ANALYSIS; NUCLEAR MAGNETIC RESONANCE IMAGING; OXIMETRY; PHYSIOLOGY; PROCEDURES; CLINICAL EVALUATION; DISEASE CLASSIFICATION; FUNCTIONAL NEUROIMAGING; IMAGE ANALYSIS; IMAGE PROCESSING; MULTIVARIATE PATTERN ANALYSIS; REVIEW; WORKFLOW;

EID: 84901041663     PISSN: 01956108     EISSN: 1936959X     Source Type: Journal    
DOI: 10.3174/ajnr.A3713     Document Type: Article
Times cited : (48)

References (114)
  • 2
    • 75149118852 scopus 로고    scopus 로고
    • Disease and the brain's dark energy
    • Zhang D, Raichle ME. Disease and the brain's dark energy. Nat Rev Neurol 2010;6:15-28
    • (2010) Nat Rev Neurol , vol.6 , pp. 15-28
    • Zhang, D.1    Raichle, M.E.2
  • 3
    • 79951496032 scopus 로고    scopus 로고
    • A quantitative meta-analysis of fMRI studies in bipolar disorder
    • Chen CH, Suckling J, Lennox BR, et al. A quantitative meta-analysis of fMRI studies in bipolar disorder. Bipolar Disord 2011;13:1-15
    • (2011) Bipolar Disord , vol.13 , pp. 1-15
    • Chen, C.H.1    Suckling, J.2    Lennox, B.R.3
  • 4
    • 33744761180 scopus 로고    scopus 로고
    • Diagnostic functional MRI: Illustrated clinical applications and decision-making
    • Bartsch AJ, Homola G, Biller A, et al. Diagnostic functional MRI: illustrated clinical applications and decision-making. J Magn Reson Imaging 2006;23:921-32
    • (2006) J Magn Reson Imaging , vol.23 , pp. 921-932
    • Bartsch, A.J.1    Homola, G.2    Biller, A.3
  • 5
    • 76749142512 scopus 로고    scopus 로고
    • The evolution of clinical functional imaging during the past 2 decades and its current impact on neurosurgical planning
    • Pillai JJ. The evolution of clinical functional imaging during the past 2 decades and its current impact on neurosurgical planning. AJNR Am J Neuroradiol 2010;31:219-25
    • (2010) AJNR Am J Neuroradiol , vol.31 , pp. 219-225
    • Pillai, J.J.1
  • 6
    • 80755135439 scopus 로고    scopus 로고
    • Neuroimaging markers: Their role for differential diagnosis and therapeutic decisions in personalized psychiatry
    • in German
    • Gruber O. Neuroimaging markers: their role for differential diagnosis and therapeutic decisions in personalized psychiatry [in German]. Nervenarzt 2011;82:1404, 406, 408
    • (2011) Nervenarzt , vol.82
    • Gruber, O.1
  • 7
    • 84855732200 scopus 로고    scopus 로고
    • The challenges and promise of neuroimaging in psychiatry
    • Linden DE. The challenges and promise of neuroimaging in psychiatry. Neuron 2012;73:8-22
    • (2012) Neuron , vol.73 , pp. 8-22
    • Linden, D.E.1
  • 8
    • 82755182908 scopus 로고    scopus 로고
    • Discovery and development of integrative biological markers for schizophrenia
    • Oertel-Knöchel V, Bittner RA, Knochel C, et al. Discovery and development of integrative biological markers for schizophrenia. Prog Neurobiol 2011;95:686-702
    • (2011) Prog Neurobiol , vol.95 , pp. 686-702
    • Oertel-Knöchel, V.1    Bittner, R.A.2    Knochel, C.3
  • 9
    • 34547410247 scopus 로고    scopus 로고
    • Consensus paper of the WFSBP task force on biological markers: Biological markers in depression
    • Mössner R, Mikova O, Koutsilieri E, et al. Consensus paper of the WFSBP task force on biological markers: biological markers in depression. World J Biol Psychiatry 2007;8:141-74
    • (2007) World J Biol Psychiatry , vol.8 , pp. 141-174
    • Mössner, R.1    Mikova, O.2    Koutsilieri, E.3
  • 10
    • 84863224067 scopus 로고    scopus 로고
    • Development of biomarkers to chart all Alzheimer's disease stages: The royal road to cutting the therapeutic gordian knot
    • Hampel H, Lista S, Khachaturian ZS. Development of biomarkers to chart all Alzheimer's disease stages: the royal road to cutting the therapeutic gordian knot. Alzheimers Dement 2012;8:312-36
    • (2012) Alzheimers Dement , vol.8 , pp. 312-336
    • Hampel, H.1    Lista, S.2    Khachaturian, Z.S.3
  • 11
    • 34548011214 scopus 로고    scopus 로고
    • Can neuroscience be integrated into the DSM-V?
    • Hyman SE. Can neuroscience be integrated into the DSM-V? Nat Rev Neurosci 2007;8:725-32
    • (2007) Nat Rev Neurosci , vol.8 , pp. 725-732
    • Hyman, S.E.1
  • 13
    • 84862502734 scopus 로고    scopus 로고
    • Alzheimer disease: New concepts on its neurobiology and the clinical role imaging will play
    • Jack CR, Jr. Alzheimer disease: new concepts on its neurobiology and the clinical role imaging will play. Radiology 2012;263:344-61
    • (2012) Radiology , vol.263 , pp. 344-361
    • Jack Jr., C.R.1
  • 14
    • 84873283933 scopus 로고    scopus 로고
    • Individual variability in functional connectivity architecture of the human brain
    • Mueller S, Wang D, Fox MD, et al. Individual variability in functional connectivity architecture of the human brain. Neuron 2013;77:586-95
    • (2013) Neuron , vol.77 , pp. 586-595
    • Mueller, S.1    Wang, D.2    Fox, M.D.3
  • 15
    • 84856096266 scopus 로고    scopus 로고
    • Test-retest variability underlying fMRI measurements
    • Raemaekers M, du Plessis S, Ramsey NF, et al. Test-retest variability underlying fMRI measurements. Neuroimage 2012;60:717-27
    • (2012) Neuroimage , vol.60 , pp. 717-727
    • Raemaekers, M.1    Du Plessis, S.2    Ramsey N, F.3
  • 16
    • 66749191048 scopus 로고    scopus 로고
    • The resting brain: Unconstrained yet reliable
    • Shehzad Z, Kelly AM, Reiss PT, et al. The resting brain: unconstrained yet reliable. Cereb Cortex 2009;19:2209-29
    • (2009) Cereb Cortex , vol.19 , pp. 2209-2229
    • Shehzad, Z.1    Kelly, A.M.2    Reiss, P.T.3
  • 17
    • 84863008840 scopus 로고    scopus 로고
    • Multiple testing corrections, nonparametric methods, and random field theory
    • Nichols TE. Multiple testing corrections, nonparametric methods, and random field theory. Neuroimage 2012;62:811-15
    • (2012) Neuroimage , vol.62 , pp. 811-815
    • Nichols, T.E.1
  • 18
    • 33748178966 scopus 로고    scopus 로고
    • Beyond mind-reading: Multi-voxel pattern analysis of fMRI data
    • Norman KA, Polyn SM, Detre GJ, et al. Beyond mind-reading: multi-voxel pattern analysis of fMRI data. Trends Cogn Sci 2006;10:424-30
    • (2006) Trends Cogn Sci , vol.10 , pp. 424-430
    • Norman, K.A.1    Polyn, S.M.2    Detre, G.J.3
  • 19
    • 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:S199-209
    • (2009) Neuroimage , vol.45
    • Pereira, F.1    Mitchell, T.2    Botvinick, M.3
  • 20
    • 33745587777 scopus 로고    scopus 로고
    • Decoding mental states from brain activity in humans
    • Haynes JD, Rees G. Decoding mental states from brain activity in humans. Nat Rev Neurosci 2006;7:523-34
    • (2006) Nat Rev Neurosci , vol.7 , pp. 523-534
    • Haynes, J.D.1    Rees, G.2
  • 22
    • 84857000430 scopus 로고    scopus 로고
    • 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;36:1140-52
    • (2012) Neurosci Biobehav Rev , vol.36 , pp. 1140-1152
    • Orrù, G.1    Pettersson-Yeo, W.2    Marquand, A.F.3
  • 25
    • 58149337564 scopus 로고    scopus 로고
    • Neural activations at the junction of the inferior frontal sulcus and the inferior precentral sulcus: Interindividual variability, reliability, and association with sulcal morphology
    • Derrfuss J, Brass M, von Cramon DY, et al. Neural activations at the junction of the inferior frontal sulcus and the inferior precentral sulcus: interindividual variability, reliability, and association with sulcal morphology. Hum Brain Mapp 2009;30:299-311
    • (2009) Hum Brain Mapp , vol.30 , pp. 299-311
    • Derrfuss, J.1    Brass, M.2    Von Cramon, D.Y.3
  • 26
    • 0344392281 scopus 로고    scopus 로고
    • Patient classification of fMRI activation maps
    • Ellis R, Peters T, eds. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003, Berlin, Germany: Springer-Verlag
    • Ford J, Farid H, Makedon F, et al. Patient classification of fMRI activation maps. In: Ellis R, Peters T, eds. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003, Lecture Notes in Computer Science, Vol. 2879. Berlin, Germany: Springer-Verlag; 2003:58
    • (2003) Lecture Notes in Computer Science , vol.2879 , pp. 58
    • Ford, J.1    Farid, H.2    Makedon, F.3
  • 27
    • 20344381295 scopus 로고    scopus 로고
    • Extraction of discriminative functional MRI activation patterns and an application to Alzheimer's disease
    • Barillot C, Haynor DR, Hellier P, eds. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2004, Berlin, Germany: Springer-Verlag
    • Kontos D, Megalooikonomou V, Pokrajac D, et al. Extraction of discriminative functional MRI activation patterns and an application to Alzheimer's disease. In: Barillot C, Haynor DR, Hellier P, eds. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2004, Lecture Notes in Computer Science, Vol. 3217. Berlin, Germany: Springer-Verlag. 2004;727-35
    • (2004) Lecture Notes in Computer Science , vol.3217 , pp. 727-735
    • Kontos, D.1    Megalooikonomou, V.2    Pokrajac, D.3
  • 28
    • 19044381410 scopus 로고    scopus 로고
    • Structural group classification technique based on regional fMRI BOLD responses
    • Bogorodzki P, Rogowska J, Yurgelun-Todd DA. Structural group classification technique based on regional fMRI BOLD responses. IEEE Trans Med Imaging 2005;24:389-98
    • (2005) IEEE Trans Med Imaging , vol.24 , pp. 389-398
    • Bogorodzki, P.1    Rogowska, J.2    Yurgelun-Todd, D.A.3
  • 29
    • 33744791207 scopus 로고    scopus 로고
    • Exploiting temporal information in functional magnetic resonance imaging brain data
    • Zhang L, Samaras D, Tomasi D, et al. Exploiting temporal information in functional magnetic resonance imaging brain data. Med Image Comput Comput Assist Interv 2005;8:679-87
    • (2005) Med Image Comput Comput Assist Interv , vol.8 , pp. 679-687
    • Zhang, L.1    Samaras, D.2    Tomasi, D.3
  • 30
    • 33748686761 scopus 로고    scopus 로고
    • 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;33:63-71
    • (2006) Neuroimage , vol.33 , pp. 63-71
    • Shinkareva, S.V.1    Ombao, H.C.2    Sutton, B.P.3
  • 31
    • 36248969574 scopus 로고    scopus 로고
    • Clinical diagnosis based on bayesian classification of functional magnetic-resonance data
    • Chen R, Herskovits EH. Clinical diagnosis based on bayesian classification of functional magnetic-resonance data. Neuroinformatics 2007;5:178-88
    • (2007) Neuroinformatics , vol.5 , pp. 178-188
    • Chen, R.1    Herskovits, E.H.2
  • 32
    • 55549121271 scopus 로고    scopus 로고
    • 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;29:1265-75
    • (2008) Hum Brain Mapp , vol.29 , pp. 1265-1275
    • Calhoun, V.D.1    Maciejewski, P.K.2    Pearlson, G.D.3
  • 33
    • 38749110363 scopus 로고    scopus 로고
    • A projection pursuit algorithm to classify individuals using fMRI data: Application to schizophrenia
    • Demirci O, Clark VP, Calhoun VD. A projection pursuit algorithm to classify individuals using fMRI data: application to schizophrenia. Neuroimage 2008;39:1774-82
    • (2008) Neuroimage , vol.39 , pp. 1774-1782
    • Demirci, O.1    Clark, V.P.2    Calhoun, V.D.3
  • 34
    • 77949659744 scopus 로고    scopus 로고
    • A review of challenges in the use of fMRI for disease classification/characterization and a projection pursuit application from multi-site fMRI schizophrenia study
    • Demirci O, Clark VP, Magnotta VA, et al. A review of challenges in the use of fMRI for disease classification/characterization and a projection pursuit application from multi-site fMRI schizophrenia study. Brain Imaging Behav 2008;2:147-226
    • (2008) Brain Imaging Behav , vol.2 , pp. 147-226
    • Demirci, O.1    Clark, V.P.2    Magnotta, V.A.3
  • 35
    • 40149084821 scopus 로고    scopus 로고
    • Pattern classification of sad facial processing: Toward the development of neurobiological markers in depression
    • Fu CH, Mourão-Miranda J, Costafreda SG, et al. Pattern classification of sad facial processing: toward the development of neurobiological markers in depression. Biol Psychiatry 2008;63:656-62
    • (2008) Biol Psychiatry , vol.63 , pp. 656-662
    • Fu, C.H.1    Mourão-Miranda, J.2    Costafreda, S.G.3
  • 36
    • 53549088324 scopus 로고    scopus 로고
    • Neuroanatomy of verbal working memory as a diagnostic biomarker for depression
    • Marquand AF, Mourão-Miranda J, Brammer MJ, et al. Neuroanatomy of verbal working memory as a diagnostic biomarker for depression. Neuroreport 2008;19:1507-11
    • (2008) Neuroreport , vol.19 , pp. 1507-1511
    • Marquand, A.F.1    Mourão-Miranda, J.2    Brammer, M.J.3
  • 37
    • 61849146265 scopus 로고    scopus 로고
    • A method to classify schizophrenia using inter-task spatial correlations of functional brain images
    • Michael AM, Calhoun VD, Andreasen NC, et al. A method to classify schizophrenia using inter-task spatial correlations of functional brain images. Conf Proc IEEE Eng Med Biol Soc 2008;2008:5510-13
    • (2008) Conf Proc IEEE Eng Med Biol Soc , vol.2008 , pp. 5510-5513
    • Michael, A.M.1    Calhoun, V.D.2    Andreasen, N.C.3
  • 38
    • 67049115926 scopus 로고    scopus 로고
    • Neural correlates of sad faces predict clinical remission to cognitive behavioural therapy in depression
    • Costafreda SG, Khanna A, Mourão-Miranda J, et al. Neural correlates of sad faces predict clinical remission to cognitive behavioural therapy in depression. Neuroreport 2009;20:637-41
    • (2009) Neuroreport , vol.20 , pp. 637-641
    • Costafreda, S.G.1    Khanna, A.2    Mourão-Miranda, J.3
  • 39
    • 78649311169 scopus 로고    scopus 로고
    • Automatic bayesian classification of healthy controls, bipolar disorder, and schizophrenia using intrinsic connectivity maps from fMRI data
    • Arribas JI, Calhoun VD, Adali T. Automatic bayesian classification of healthy controls, bipolar disorder, and schizophrenia using intrinsic connectivity maps from fMRI data. IEEE Trans Biomed Eng 2010;57:2850-60
    • (2010) IEEE Trans Biomed Eng , vol.57 , pp. 2850-2860
    • Arribas, J.I.1    Calhoun, V.D.2    Adali, T.3
  • 40
    • 77950808441 scopus 로고    scopus 로고
    • Early functional magnetic resonance imaging activations predict language outcome after stroke
    • Saur D, Ronneberger O, Kummerer D, et al. Early functional magnetic resonance imaging activations predict language outcome after stroke. Brain 2010;133:1252-64
    • (2010) Brain , vol.133 , pp. 1252-1264
    • Saur, D.1    Ronneberger, O.2    Kummerer, D.3
  • 41
    • 77949270756 scopus 로고    scopus 로고
    • Asix stage approach for the diagnosis of the Alzheimer's disease based on fMRI data
    • Tripoliti EE, Fotiadis DI, Argyropoulou M, et al. Asix stage approach for the diagnosis of the Alzheimer's disease based on fMRI data. J Biomed Inform 2010;43:307-20
    • (2010) J Biomed Inform , vol.43 , pp. 307-320
    • Tripoliti, E.E.1    Fotiadis, D.I.2    Argyropoulou, M.3
  • 42
    • 79953008341 scopus 로고    scopus 로고
    • A hybrid machine learning method for fusing fMRI and genetic data: Combining both improves classification of schizophrenia
    • Yang H, Liu J, Sui J, et al. A hybrid machine learning method for fusing fMRI and genetic data: combining both improves classification of schizophrenia. Front Hum Neurosci 2010;4:192
    • (2010) Front Hum Neurosci , vol.4 , pp. 192
    • Yang, H.1    Liu, J.2    Sui, J.3
  • 43
    • 80051781186 scopus 로고    scopus 로고
    • Characterization of groups using composite kernels and multi-source fMRI analysis data: Application to schizophrenia
    • Castro E, Martinez-Ramon M, Pearlson G, et al. Characterization of groups using composite kernels and multi-source fMRI analysis data: application to schizophrenia. Neuroimage 2011;58:526-36
    • (2011) Neuroimage , vol.58 , pp. 526-536
    • Castro, E.1    Martinez-Ramon, M.2    Pearlson, G.3
  • 44
    • 79251561866 scopus 로고    scopus 로고
    • Pattern of neural responses to verbal fluency shows diagnostic specificity for schizophrenia and bipolar disorder
    • Costafreda SG, Fu CH, 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 , vol.11 , pp. 18
    • Costafreda, S.G.1    Fu, C.H.2    Picchioni, M.3
  • 45
    • 79953761839 scopus 로고    scopus 로고
    • Integrating neurobiological markers of depression
    • Hahn T, Marquand AF, Ehlis AC, et al. Integrating neurobiological markers of depression. Arch Gen Psychiatry 2011;68:361-68
    • (2011) Arch Gen Psychiatry , vol.68 , pp. 361-368
    • Hahn, T.1    Marquand, A.F.2    Ehlis, A.C.3
  • 46
  • 47
    • 80052162811 scopus 로고    scopus 로고
    • Patient classification as an outlier detection problem: An application of the one-class support vector machine
    • Mourão-Miranda J, Hardoon DR, Hahn T, et al. Patient classification as an outlier detection problem: an application of the one-class support vector machine. Neuroimage 2011;58:793-804
    • (2011) Neuroimage , vol.58 , pp. 793-804
    • Mourão-Miranda, J.1    Hardoon, D.R.2    Hahn, T.3
  • 48
    • 79954987179 scopus 로고    scopus 로고
    • Machine learning classification with confidence: Application of transductive conformal predictors to MRI-based diagnostic and prognostic markers in depression
    • 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;56:809-13
    • (2011) Neuroimage , vol.56 , pp. 809-813
    • Nouretdinov, I.1    Costafreda, S.G.2    Gammerman, A.3
  • 49
    • 79955003349 scopus 로고    scopus 로고
    • Evaluating imaging biomarkers for neurodegeneration in pre-symptomatic Huntington's disease using machine learning techniques
    • Rizk-Jackson A, Stoffers D, Sheldon S, et al. Evaluating imaging biomarkers for neurodegeneration in pre-symptomatic Huntington's disease using machine learning techniques. Neuroimage 2011;56:788-96
    • (2011) Neuroimage , vol.56 , pp. 788-796
    • Rizk-Jackson, A.1    Stoffers, D.2    Sheldon, S.3
  • 50
    • 79960913480 scopus 로고    scopus 로고
    • A supervised method to assist the diagnosis and monitor progression of Alzheimer's disease using data from an fMRI experiment
    • Tripoliti EE, Fotiadis DI, Argyropoulou M. A supervised method to assist the diagnosis and monitor progression of Alzheimer's disease using data from an fMRI experiment. Artif Intell Med 2011;53:35-45
    • (2011) Artif Intell Med , vol.53 , pp. 35-45
    • Tripoliti, E.E.1    Fotiadis, D.I.2    Argyropoulou, M.3
  • 51
    • 84864924266 scopus 로고    scopus 로고
    • Diagnosing different binge-eating disorders based on reward-related brain activation patterns
    • Weygandt M, Schaefer A, Schienle A, et al. Diagnosing different binge-eating disorders based on reward-related brain activation patterns. Hum Brain Mapp 2012;33:2135-46
    • (2012) Hum Brain Mapp , vol.33 , pp. 2135-2146
    • Weygandt, M.1    Schaefer, A.2    Schienle, A.3
  • 52
    • 84874976839 scopus 로고    scopus 로고
    • Functional and structural MRI biomarkers to detect pre-clinical neurodegeneration
    • Abdulkadir A, Ronneberger O, Wolf RC, et al. Functional and structural MRI biomarkers to detect pre-clinical neurodegeneration. Curr Alzheimer Res 2013;10:125-34
    • (2013) Curr Alzheimer Res , vol.10 , pp. 125-134
    • Abdulkadir, A.1    Ronneberger, O.2    Wolf, R.C.3
  • 53
    • 84857113733 scopus 로고    scopus 로고
    • Partial least squares for discrimination in fMRI data
    • Andersen AH, Rayens WS, Liu Y, et al. Partial least squares for discrimination in fMRI data. Magn Reson Imaging 2012;30:446-52
    • (2012) Magn Reson Imaging , vol.30 , pp. 446-452
    • Andersen, A.H.1    Rayens, W.S.2    Liu, Y.3
  • 54
    • 84879497100 scopus 로고    scopus 로고
    • Discriminating unipolar and bipolar depression by means of fMRI and pattern classification: A pilot study
    • Grotegerd D, Suslow T, Bauer J, et al. Discriminating unipolar and bipolar depression by means of fMRI and pattern classification: a pilot study. Eur Arch Psychiatry Clin Neurosci 2013;63:119-31
    • (2013) Eur Arch Psychiatry Clin Neurosci , vol.63 , pp. 119-131
    • Grotegerd, D.1    Suslow, T.2    Bauer, J.3
  • 55
    • 84864224120 scopus 로고    scopus 로고
    • High classification accuracy for schizophrenia with rest and task fMRI data
    • Du W, Calhoun VD, Li H, et al. High classification accuracy for schizophrenia with rest and task fMRI data. Front Hum Neurosci 2012;6:145
    • (2012) Front Hum Neurosci , vol.6 , pp. 145
    • Du, W.1    Calhoun, V.D.2    Li, H.3
  • 56
    • 84857077961 scopus 로고    scopus 로고
    • Pattern recognition and functional neuroimaging help to discriminate healthy adolescents at risk for mood disorders from low risk adolescents
    • Mourão-Miranda J, Oliveira L, Ladouceur CD, et al. Pattern recognition and functional neuroimaging help to discriminate healthy adolescents at risk for mood disorders from low risk adolescents. PLoS One 2012;7:e29482
    • (2012) PLoS One , vol.7
    • Mourão-Miranda, J.1    Oliveira, L.2    Ladouceur, C.D.3
  • 57
    • 84861498787 scopus 로고    scopus 로고
    • Pattern recognition analyses of brain activation elicited by happy and neutral faces in unipolar and bipolar depression
    • Mourão-Miranda J, Almeida JR, Hassel S, et al. Pattern recognition analyses of brain activation elicited by happy and neutral faces in unipolar and bipolar depression. Bipolar Disord 2012;14:451-60
    • (2012) Bipolar Disord , vol.14 , pp. 451-460
    • Mourão-Miranda, J.1    Almeida, J.R.2    Hassel, S.3
  • 58
    • 84878887293 scopus 로고    scopus 로고
    • Neural markers of negative symptom outcomes in distributed working memory brain activity of antipsychotic-naive schizophrenia patients
    • Nejad AB, Madsen KH, Ebdrup BH, et al. Neural markers of negative symptom outcomes in distributed working memory brain activity of antipsychotic-naive schizophrenia patients. Int J Neuropsychopharmacol 2013;16:1195-204
    • (2013) Int J Neuropsychopharmacol , vol.16 , pp. 1195-1204
    • Nejad, A.B.1    Madsen, K.H.2    Ebdrup, B.H.3
  • 59
    • 84883020611 scopus 로고    scopus 로고
    • Classification of individuals based on sparse representation of brain cognitive patterns: A functional MRI study
    • Ramezani M, Abolmaesumi P, Marble K, et al. Classification of individuals based on sparse representation of brain cognitive patterns: a functional MRI study. Conf Proc IEEE Eng Med Biol Soc 2012;2012:2688-91
    • (2012) Conf Proc IEEE Eng Med Biol Soc , vol.2012 , pp. 2688-2691
    • Ramezani, M.1    Abolmaesumi, P.2    Marble, K.3
  • 60
    • 84856992396 scopus 로고    scopus 로고
    • fMRI pattern recognition in obsessive-compulsive disorder
    • Weygandt M, Blecker CR, Schafer A, et al. fMRI pattern recognition in obsessive-compulsive disorder. Neuroimage 2012;60:1186-93
    • (2012) Neuroimage , vol.60 , pp. 1186-1193
    • Weygandt, M.1    Blecker, C.R.2    Schafer, A.3
  • 61
    • 84857234687 scopus 로고    scopus 로고
    • Automated classification of fMRI during cognitive control identifies more severely disorganized subjects with schizophrenia
    • Yoon JH, Nguyen DV, McVay LM, et al. Automated classification of fMRI during cognitive control identifies more severely disorganized subjects with schizophrenia. Schizophr Res 2012;135:28-33
    • (2012) Schizophr Res , vol.135 , pp. 28-33
    • Yoon, J.H.1    Nguyen, D.V.2    McVay, L.M.3
  • 62
    • 84872659198 scopus 로고    scopus 로고
    • Schizophrenia as a network disease: Disruption of emergent brain function in patients with auditory hallucinations
    • Rish I, Cecchi G, Thyreau B, et al. Schizophrenia as a network disease: disruption of emergent brain function in patients with auditory hallucinations. PLoS One 2013;8:e50625
    • (2013) PLoS One , vol.8
    • Rish, I.1    Cecchi, G.2    Thyreau, B.3
  • 63
    • 84877153444 scopus 로고    scopus 로고
    • Integration of structural and functional magnetic resonance imaging improves mild cognitive impairment detection
    • Kim J, Lee JH. Integration of structural and functional magnetic resonance imaging improves mild cognitive impairment detection. Magn Reson Imaging 2013;31:718-32
    • (2013) Magn Reson Imaging , vol.31 , pp. 718-732
    • Kim, J.1    Lee, J.H.2
  • 64
    • 34047152331 scopus 로고    scopus 로고
    • Functional classification of schizophrenia using feed forward neural networks
    • Jafri MJ, Calhoun VD. Functional classification of schizophrenia using feed forward neural networks. Conf Proc IEEE Eng Med Biol Soc 2006;(suppl):6631-34
    • (2006) Conf Proc IEEE Eng Med Biol Soc , Issue.SUPPL. , pp. 6631-6634
    • Jafri, M.J.1    Calhoun, V.D.2
  • 65
    • 79551688051 scopus 로고    scopus 로고
    • Discriminative analysis of early Alzheimer's disease based on two intrinsically anti-correlated networks with resting-state fMRI
    • Wang K, Jiang T, Liang M, et al. Discriminative analysis of early Alzheimer's disease based on two intrinsically anti-correlated networks with resting-state fMRI. Med Image Comput Comput Assist Interv 2006;9:340-47
    • (2006) Med Image Comput Comput Assist Interv , vol.9 , pp. 340-347
    • Wang, K.1    Jiang, T.2    Liang, M.3
  • 66
    • 79551682545 scopus 로고    scopus 로고
    • Regional homogeneity and anatomical parcellation for fMRI image classification: Application to schizophrenia and normal controls
    • Shi F, Liu Y, Jiang T, et al. Regional homogeneity and anatomical parcellation for fMRI image classification: application to schizophrenia and normal controls. Med Image Comput Comput Assist Interv 2007;10(pt 2):136-43
    • (2007) Med Image Comput Comput Assist Interv , vol.10 , Issue.PART 2 , pp. 136-143
    • Shi, F.1    Liu, Y.2    Jiang, T.3
  • 67
    • 38949129350 scopus 로고    scopus 로고
    • Fisher discriminative analysis of resting-state brain function for attention-deficit/hyperactivity disorder
    • Zhu CZ, Zang YF, Cao QJ, 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
  • 68
    • 73149109077 scopus 로고    scopus 로고
    • Disease state prediction from resting state functional connectivity
    • Craddock RC, Holtzheimer PE 3rd, Hu XP, et al. Disease state prediction from resting state functional connectivity. Magn Reson Med 2009;62:1619-28
    • (2009) Magn Reson Med , vol.62 , pp. 1619-1628
    • Craddock, R.C.1    Holtzheimer III, P.E.2    Hu, X.P.3
  • 69
    • 68049128346 scopus 로고    scopus 로고
    • Development of large-scale functional brain networks in children
    • Supekar K, Musen M, Menon V. Development of large-scale functional brain networks in children. PLoS Biol 2009;7:e1000157
    • (2009) PLoS Biol , vol.7
    • Supekar, K.1    Musen, M.2    Menon, V.3
  • 70
    • 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
  • 71
    • 77951921512 scopus 로고    scopus 로고
    • Divergent network connectivity changes in behavioural variant frontotemporal dementia and Alzheimer's disease
    • Zhou J, Greicius MD, Gennatas ED, et al. Divergent network connectivity changes in behavioural variant frontotemporal dementia and Alzheimer's disease. Brain 2010;133:1352-67
    • (2010) Brain , vol.133 , pp. 1352-1367
    • Zhou, J.1    Greicius, M.D.2    Gennatas, E.D.3
  • 72
    • 83755186505 scopus 로고    scopus 로고
    • Functional connectivity magnetic resonance imaging classification of autism
    • Anderson JS, Nielsen JA, Froehlich AL, et al. Functional connectivity magnetic resonance imaging classification of autism. Brain 2011;134:3742-54
    • (2011) Brain , vol.134 , pp. 3742-3754
    • Anderson, J.S.1    Nielsen, J.A.2    Froehlich, A.L.3
  • 73
    • 79953010204 scopus 로고    scopus 로고
    • Classification of Alzheimer disease, mild cognitive impairment, and normal cognitive status with largescale network analysis based on resting-state functional MR imaging
    • Chen G, Ward BD, Xie C, et al. Classification of Alzheimer disease, mild cognitive impairment, and normal cognitive status with largescale network analysis based on resting-state functional MR imaging. Radiology 2011;259:213-21
    • (2011) Radiology , vol.259 , pp. 213-221
    • Chen, G.1    Ward, B.D.2    Xie, C.3
  • 74
    • 79957527638 scopus 로고    scopus 로고
    • Discriminant analysis of functional connectivity patterns on Grassmann manifold
    • Fan Y, Liu Y, Wu H, et al. Discriminant analysis of functional connectivity patterns on Grassmann manifold. Neuroimage 2011;56:2058-67
    • (2011) Neuroimage , vol.56 , pp. 2058-2067
    • Fan, Y.1    Liu, Y.2    Wu, H.3
  • 75
    • 84867122690 scopus 로고    scopus 로고
    • ADHD-200 global competition: DiagnosingADHDusing personal characteristic data can outperform resting state fMRI measurements
    • Brown MR, Sidhu GS, Greiner R, et al. ADHD-200 global competition: DiagnosingADHDusing personal characteristic data can outperform resting state fMRI measurements. Front Syst Neurosci 2012;6:69
    • (2012) Front Syst Neurosci , vol.6 , pp. 69
    • Brown, M.R.1    Sidhu, G.S.2    Greiner, R.3
  • 76
    • 84870041182 scopus 로고    scopus 로고
    • Network, anatomical, and non-imaging measures for the prediction of ADHD diagnosis in individual subjects
    • Bohland JW, Saperstein S, Pereira F, et al. Network, anatomical, and non-imaging measures for the prediction of ADHD diagnosis in individual subjects. Front Syst Neurosci 2012;6:78
    • (2012) Front Syst Neurosci , vol.6 , pp. 78
    • Bohland, J.W.1    Saperstein, S.2    Pereira, F.3
  • 77
    • 84865007497 scopus 로고    scopus 로고
    • Individual classification of ADHD patients by integrating multiscale neuroimaging markers and advanced pattern recognition techniques
    • Cheng W, Ji X, Zhang J, et al. Individual classification of ADHD patients by integrating multiscale neuroimaging markers and advanced pattern recognition techniques. Front Syst Neurosci 2012;6:58
    • (2012) Front Syst Neurosci , vol.6 , pp. 58
    • Cheng, W.1    Ji, X.2    Zhang, J.3
  • 78
    • 84865966989 scopus 로고    scopus 로고
    • Insights into multimodal imaging classification of ADHD
    • Colby JB, Rudie JD, Brown JA, et al. Insights into multimodal imaging classification of ADHD. Front Syst Neurosci 2012;6:59
    • (2012) Front Syst Neurosci , vol.6 , pp. 59
    • Colby, J.B.1    Rudie, J.D.2    Brown, J.A.3
  • 79
    • 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
  • 80
    • 84865999895 scopus 로고    scopus 로고
    • Classification of ADHD children through multimodal magnetic resonance imaging
    • Dai D, Wang J, Hua J, et al. Classification of ADHD children through multimodal magnetic resonance imaging. Front Syst Neurosci 2012;6:63
    • (2012) Front Syst Neurosci , vol.6 , pp. 63
    • Dai, D.1    Wang, J.2    Hua, J.3
  • 81
    • 84866012927 scopus 로고    scopus 로고
    • Automated diagnoses of attention deficit hyperactive disorder using magnetic resonance imaging
    • Eloyan A, Muschelli J, Nebel MB, et al. Automated diagnoses of attention deficit hyperactive disorder using magnetic resonance imaging. Front Syst Neurosci 2012;6:61
    • (2012) Front Syst Neurosci , vol.6 , pp. 61
    • Eloyan, A.1    Muschelli, J.2    Nebel, M.B.3
  • 82
    • 84855757951 scopus 로고    scopus 로고
    • Diagnostic power of default mode network resting state fMRI in the detection of Alzheimer's disease
    • Koch W, Teipel S, Mueller S, et al. Diagnostic power of default mode network resting state fMRI in the detection of Alzheimer's disease. Neurobiol Aging 2012;33:466-78
    • (2012) Neurobiol Aging , vol.33 , pp. 466-478
    • Koch, W.1    Teipel, S.2    Mueller, S.3
  • 83
    • 84869055074 scopus 로고    scopus 로고
    • Automatic classification of early Parkinson's disease with multi-modal MR imaging
    • Long D, Wang J, Xuan M, et al. Automatic classification of early Parkinson's disease with multi-modal MR imaging. PLoS One 2012;7:e47714
    • (2012) PLoS One , vol.7
    • Long, D.1    Wang, J.2    Xuan, M.3
  • 84
    • 84872393128 scopus 로고    scopus 로고
    • Altered cerebellar-cerebral resting-state functional connectivity reliably identifies major depressive disorder
    • Ma Q, Zeng LL, Shen H, et al. Altered cerebellar-cerebral resting-state functional connectivity reliably identifies major depressive disorder. Brain Res 2013;1495:86-94
    • (2013) Brain Res , vol.1495 , pp. 86-94
    • Ma, Q.1    Zeng, L.L.2    Shen, H.3
  • 85
    • 84857127869 scopus 로고    scopus 로고
    • Support vector machine classification and characterization of age-related reorganization of functional brain networks
    • Meier TB, Desphande AS, Vergun S, et al. Support vector machine classification and characterization of age-related reorganization of functional brain networks. Neuroimage 2012;60:601-13
    • (2012) Neuroimage , vol.60 , pp. 601-613
    • Meier, T.B.1    Desphande, A.S.2    Vergun, S.3
  • 86
    • 84867125436 scopus 로고    scopus 로고
    • ADHDdiagnosis from multiple data sources with batch effects
    • Olivetti E, Greiner S, Avesani P. ADHDdiagnosis from multiple data sources with batch effects. Front Syst Neurosci 2012;6:70
    • (2012) Front Syst Neurosci , vol.6 , pp. 70
    • Olivetti, E.1    Greiner, S.2    Avesani, P.3
  • 87
    • 84863671296 scopus 로고    scopus 로고
    • Classifying minimally disabled multiple sclerosis patients from resting state functional connectivity
    • Richiardi J, Gschwind M, Simioni S, et al. Classifying minimally disabled multiple sclerosis patients from resting state functional connectivity. Neuroimage 2012;62:2021-33
    • (2012) Neuroimage , vol.62 , pp. 2021-2033
    • Richiardi, J.1    Gschwind, M.2    Simioni, S.3
  • 88
    • 84865979899 scopus 로고    scopus 로고
    • Evaluation of pattern recognition and feature extraction methods in ADHD prediction
    • Sato JR, Hoexter MQ, Fujita A, et al. Evaluation of pattern recognition and feature extraction methods in ADHD prediction. Front Syst Neurosci 2012;6:68
    • (2012) Front Syst Neurosci , vol.6 , pp. 68
    • Sato, J.R.1    Hoexter, M.Q.2    Fujita, A.3
  • 89
    • 84867707087 scopus 로고    scopus 로고
    • Kernel principal component analysis for dimensionality reduction in fMRI-based diagnosis of ADHD
    • Sidhu GS, Asgarian N, Greiner R, et al. Kernel principal component analysis for dimensionality reduction in fMRI-based diagnosis of ADHD. Front Syst Neurosci 2012;6:74
    • (2012) Front Syst Neurosci , vol.6 , pp. 74
    • Sidhu, G.S.1    Asgarian, N.2    Greiner, R.3
  • 90
    • 84864912968 scopus 로고    scopus 로고
    • Identify schizophrenia using resting-state functional connectivity: An exploratory research and analysis
    • Tang Y, Wang L, Cao F, et al. Identify schizophrenia using resting-state functional connectivity: an exploratory research and analysis. Biomed Eng Online 2012;11:50
    • (2012) Biomed Eng Online , vol.11 , pp. 50
    • Tang, Y.1    Wang, L.2    Cao, F.3
  • 91
    • 84863785687 scopus 로고    scopus 로고
    • Whole brain resting state functional connectivity abnormalities in schizophrenia
    • Venkataraman A, Whitford TJ, Westin CF, et al. Whole brain resting state functional connectivity abnormalities in schizophrenia. Schizophr Res 2012;139:7-12
    • (2012) Schizophr Res , vol.139 , pp. 7-12
    • Venkataraman, A.1    Whitford, T.J.2    Westin, C.F.3
  • 92
    • 84855453290 scopus 로고    scopus 로고
    • Identification of MCI individuals using structural and functional connectivity networks
    • Wee CY, Yap PT, Zhang D, et al. Identification of MCI individuals using structural and functional connectivity networks. Neuroimage 2012;59:2045-56
    • (2012) Neuroimage , vol.59 , pp. 2045-2056
    • Wee, C.Y.1    Yap, P.T.2    Zhang, D.3
  • 93
    • 84860631276 scopus 로고    scopus 로고
    • Identifying major depression using whole-brain functional connectivity: A multivariate pattern analysis
    • Zeng LL, Shen H, Liu L, et al. Identifying major depression using whole-brain functional connectivity: a multivariate pattern analysis. Brain 2012;135:1498-507
    • (2012) Brain , vol.135 , pp. 1498-1507
    • Zeng, L.L.1    Shen, H.2    Liu, L.3
  • 94
    • 83055188048 scopus 로고    scopus 로고
    • Altered spontaneous activity in Alzheimer's disease and mild cognitive impairment revealed by regional homogeneity
    • Zhang Z, Liu Y, Jiang T, et al. Altered spontaneous activity in Alzheimer's disease and mild cognitive impairment revealed by regional homogeneity. Neuroimage 2012;59:1429-40
    • (2012) Neuroimage , vol.59 , pp. 1429-1440
    • Zhang, Z.1    Liu, Y.2    Jiang, T.3
  • 95
    • 85069299344 scopus 로고    scopus 로고
    • Distinct neural signatures detected for ADHD subtypes after controlling for micro-movements in resting state functional connectivity MRI data
    • Fair DA, Nigg JT, Iyer S, et al. Distinct neural signatures detected for ADHD subtypes after controlling for micro-movements in resting state functional connectivity MRI data. Front Syst Neurosci 2012;6:80
    • (2012) Front Syst Neurosci , vol.6 , pp. 80
    • Fair, D.A.1    Nigg, J.T.2    Iyer, S.3
  • 96
    • 84873360842 scopus 로고    scopus 로고
    • Functional connectivity-based signatures of schizophrenia revealed by multiclass pattern analysis of resting-state fMRI from schizophrenic patients and their healthy siblings
    • Yu Y, Shen H, Zhang H, et al. Functional connectivity-based signatures of schizophrenia revealed by multiclass pattern analysis of resting-state fMRI from schizophrenic patients and their healthy siblings. Biomed Eng Online 2013;12:10
    • (2013) Biomed Eng Online , vol.12 , pp. 10
    • Yu, Y.1    Shen, H.2    Zhang, H.3
  • 97
    • 84872872410 scopus 로고    scopus 로고
    • Determination of vascular dementia brain in distinct frequency bands with whole brain functional connectivity patterns
    • Zhang D, Liu B, Chen J, et al. Determination of vascular dementia brain in distinct frequency bands with whole brain functional connectivity patterns. PLoS One 2013;8:e54512
    • (2013) PLoS One , vol.8
    • Zhang, D.1    Liu, B.2    Chen, J.3
  • 98
    • 77953961776 scopus 로고    scopus 로고
    • Exploring the brain network: A review on resting-state fMRI functional connectivity
    • van den Heuvel MP, Hulshoff Pol HE. Exploring the brain network: a review on resting-state fMRI functional connectivity. Eur Neuropsychopharmacol 2010;20:519-34
    • (2010) Eur Neuropsychopharmacol , vol.20 , pp. 519-534
    • Van Den Heuvel, M.P.1    Hulshoff Pol, H.E.2
  • 99
    • 84885393807 scopus 로고    scopus 로고
    • Resting-state fMRI: A review of methods and clinical applications
    • Lee MH, Smyser CD, Shimony JS. Resting-state fMRI: a review of methods and clinical applications. AJNR Am J Neuroradiol 2013;34: 1866-72
    • (2013) AJNR Am J Neuroradiol , vol.34 , pp. 1866-1872
    • Lee, M.H.1    Smyser, C.D.2    Shimony, J.S.3
  • 100
    • 84864987226 scopus 로고    scopus 로고
    • Spontaneous brain activity relates to autonomic arousal
    • Fan J, Xu P, Van Dam NT, et al. Spontaneous brain activity relates to autonomic arousal. J Neurosci 2012;32:11176-86
    • (2012) J Neurosci , vol.32 , pp. 11176-11186
    • Fan, J.1    Xu, P.2    Van Dam, N.T.3
  • 101
    • 83055181281 scopus 로고    scopus 로고
    • Sleep deprivation reduces default mode network connectivity and anti-correlation during rest and task performance
    • De Havas JA, Parimal S, Soon CS, et al. Sleep deprivation reduces default mode network connectivity and anti-correlation during rest and task performance. Neuroimage 2012;59:1745-51
    • (2012) Neuroimage , vol.59 , pp. 1745-1751
    • De Havas, J.A.1    Parimal, S.2    Soon, C.S.3
  • 102
    • 74049156284 scopus 로고    scopus 로고
    • Intrinsic functional connectivity as a tool for human connectomics: Theory, properties, and optimization
    • Van Dijk KR, Hedden T, Venkataraman A, et al. Intrinsic functional connectivity as a tool for human connectomics: theory, properties, and optimization. J Neurophysiol 2010;103:297-321
    • (2010) J Neurophysiol , vol.103 , pp. 297-321
    • Van Dijk, K.R.1    Hedden, T.2    Venkataraman, A.3
  • 103
    • 79952777031 scopus 로고    scopus 로고
    • Reproducibility of single-subject functional connectivity measurements
    • Anderson JS, Ferguson MA, Lopez-Larson M, et al. Reproducibility of single-subject functional connectivity measurements. AJNR Am J Neuroradiol 2011;32:548-55
    • (2011) AJNR Am J Neuroradiol , vol.32 , pp. 548-555
    • Anderson, J.S.1    Ferguson, M.A.2    Lopez-Larson, M.3
  • 104
    • 78651328035 scopus 로고    scopus 로고
    • Resting developments: A review of fMRI post-processing methodologies for spontaneous brain activity
    • Margulies DS, Bottger J, Long X, et al. Resting developments: a review of fMRI post-processing methodologies for spontaneous brain activity. MAGMA 2010;23:289-307
    • (2010) MAGMA , vol.23 , pp. 289-307
    • Margulies, D.S.1    Bottger, J.2    Long, X.3
  • 105
    • 70449388842 scopus 로고    scopus 로고
    • Engel's biopsychosocial model is still relevant today
    • Adler RH. Engel's biopsychosocial model is still relevant today. J Psychosom Res 2009;67:607-11
    • (2009) J Psychosom Res , vol.67 , pp. 607-611
    • Adler, R.H.1
  • 106
    • 0017576627 scopus 로고
    • The need for a new medical model: A challenge for biomedicine
    • Engel GL. The need for a new medical model: a challenge for biomedicine. Science 1977;196:129-36
    • (1977) Science , vol.196 , pp. 129-136
    • Engel, G.L.1
  • 107
    • 84877026009 scopus 로고    scopus 로고
    • An evidence-based patient-centered method makes the biopsychosocial model scientific
    • Smith RC, Fortin AH, Dwamena F, et al. An evidence-based patient-centered method makes the biopsychosocial model scientific. Patient Educ Couns 2013;91:265-70
    • (2013) Patient Educ Couns , vol.91 , pp. 265-270
    • Smith, R.C.1    Fortin, A.H.2    Dwamena, F.3
  • 108
    • 77952839762 scopus 로고    scopus 로고
    • Subjectivity and intersubjectivity in psychiatric diagnosis
    • Fuchs T. Subjectivity and intersubjectivity in psychiatric diagnosis. Psychopathology 2010;43:268-74
    • (2010) Psychopathology , vol.43 , pp. 268-274
    • Fuchs, T.1
  • 109
    • 0031880085 scopus 로고    scopus 로고
    • Graphic representation of illness: A novel method of measuring patients' perceptions of the impact of illness
    • Büchi S, Sensky T, Sharpe L, et al. Graphic representation of illness: a novel method of measuring patients' perceptions of the impact of illness. Psychother Psychosom 1998;67:222-25
    • (1998) Psychother Psychosom , vol.67 , pp. 222-225
    • Büchi, S.1    Sensky, T.2    Sharpe, L.3
  • 110
    • 79954589579 scopus 로고    scopus 로고
    • Pattern classification of working memory networks reveals differential effects of methylphenidate, atomoxetine, and placebo in healthy volunteers
    • Marquand AF, De Simoni S, O'Daly OG, et al. Pattern classification of working memory networks reveals differential effects of methylphenidate, atomoxetine, and placebo in healthy volunteers. Neuropsychopharmacology 2011;36:1237-47
    • (2011) Neuropsychopharmacology , vol.36 , pp. 1237-1247
    • Marquand, A.F.1    De Simoni, S.2    O'Daly, O.G.3
  • 111
    • 77649218601 scopus 로고    scopus 로고
    • Toward discovery science of human brain function
    • Biswal BB, Mennes M, Zuo XN, et al. Toward discovery science of human brain function. Proc Natl Acad Sci U S A 2010;107:4734-39
    • (2010) Proc Natl Acad Sci U S A , vol.107 , pp. 4734-4739
    • Biswal, B.B.1    Mennes, M.2    Zuo, X.N.3
  • 112
    • 80054016129 scopus 로고    scopus 로고
    • Brain connectivity: Gender makes a difference
    • Gong G, He Y, Evans AC. Brain connectivity: gender makes a difference. Neuroscientist 2011;17:575-91
    • (2011) Neuroscientist , vol.17 , pp. 575-591
    • Gong, G.1    He, Y.2    Evans, A.C.3
  • 113
    • 33748302798 scopus 로고    scopus 로고
    • Reducing inter-scanner variability of activation in a multicenter fMRI study: Role of smoothness equalization
    • Friedman L, Glover GH, Krenz D, et al. Reducing inter-scanner variability of activation in a multicenter fMRI study: role of smoothness equalization. Neuroimage 2006;32:1656-68
    • (2006) Neuroimage , vol.32 , pp. 1656-1668
    • Friedman, L.1    Glover, G.H.2    Krenz, D.3
  • 114
    • 33846563409 scopus 로고    scopus 로고
    • Whymost published research findings are false
    • Ioannidis JP. Whymost published research findings are false. PLoS Med 2005;2:e124
    • (2005) PLoS Med , vol.2
    • Ioannidis, J.P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.