TY  - JOUR
AU  - Chand, Ganesh B
AU  - Dwyer, Dominic B
AU  - Erus, Guray
AU  - Sotiras, Aristeidis
AU  - Varol, Erdem
AU  - Srinivasan, Dhivya
AU  - Doshi, Jimit
AU  - Pomponio, Raymond
AU  - Pigoni, Alessandro
AU  - Dazzan, Paola
AU  - Kahn, Rene S
AU  - Schnack, Hugo G
AU  - Zanetti, Marcus V
AU  - Meisenzahl, Eva
AU  - Busatto, Geraldo F
AU  - Crespo-Facorro, Benedicto
AU  - Pantelis, Christos
AU  - Wood, Stephen J
AU  - Zhuo, Chuanjun
AU  - Shinohara, Russell T
AU  - Shou, Haochang
AU  - Fan, Yong
AU  - Gur, Ruben C
AU  - Gur, Raquel E
AU  - Satterthwaite, Theodore D
AU  - Koutsouleris, Nikolaos
AU  - Wolf, Daniel H
AU  - Davatzikos, Christos
PY  - 2020
DO  - 10.1093/brain/awaa025
UR  - http://hdl.handle.net/10668/15170
T2  - Brain : a journal of neurology
AB  - Neurobiological heterogeneity in schizophrenia is poorly understood and confounds current analyses. We investigated neuroanatomical subtypes in a multi-institutional multi-ethnic cohort, using novel semi-supervised machine learning methods designed to...
LA  - en
KW  - neuroanatomical heterogeneity
KW  - schizophrenia
KW  - semi-supervised machine learning
KW  - structural MRI
KW  - voxel-wise analysis
KW  - Adult
KW  - Atrophy
KW  - Brain
KW  - Case-Control Studies
KW  - Educational Status
KW  - Female
KW  - Gray Matter
KW  - Humans
KW  - Hypertrophy
KW  - Machine Learning
KW  - Magnetic Resonance Imaging
KW  - Male
KW  - Neuroimaging
KW  - Schizophrenia
KW  - White Matter
KW  - Young Adult
TI  - Two distinct neuroanatomical subtypes of schizophrenia revealed using machine learning.
TY  - research article
VL  - 143
ER  -