RT Journal Article
T1 Schizophrenia Imaging Signatures and Their Associations With Cognition, Psychopathology, and Genetics in the General Population.
A1 Chand, Ganesh B
A1 Singhal, Pankhuri
A1 Dwyer, Dominic B
A1 Wen, Junhao
A1 Erus, Guray
A1 Doshi, Jimit
A1 Srinivasan, Dhivya
A1 Mamourian, Elizabeth
A1 Varol, Erdem
A1 Sotiras, Aristeidis
A1 Hwang, Gyujoon
A1 Dazzan, Paola
A1 Kahn, Rene S
A1 Schnack, Hugo G
A1 Zanetti, Marcus V
A1 Meisenzahl, Eva
A1 Busatto, Geraldo F
A1 Crespo-Facorro, Benedicto
A1 Pantelis, Christos
A1 Wood, Stephen J
A1 Zhuo, Chuanjun
A1 Shinohara, Russell T
A1 Shou, Haochang
A1 Fan, Yong
A1 Koutsouleris, Nikolaos
A1 Kaczkurkin, Antonia N
A1 Moore, Tyler M
A1 Verma, Anurag
A1 Calkins, Monica E
A1 Gur, Raquel E
A1 Gur, Ruben C
A1 Ritchie, Marylyn D
A1 Satterthwaite, Theodore D
A1 Wolf, Daniel H
A1 Davatzikos, Christos
K1 Genetics/Genomics
K1 Machine Learning
K1 Neuroanatomy
K1 Neuroimaging
K1 Polygenic Risk Scores
K1 Schizophrenia Spectrum and Other Psychotic Disorders
AB The prevalence and significance of schizophrenia-related phenotypes at the population level is debated in the literature. Here, the authors assessed whether two recently reported neuroanatomical signatures of schizophrenia-signature 1, with widespread reduction of gray matter volume, and signature 2, with increased striatal volume-could be replicated in an independent schizophrenia sample, and investigated whether expression of these signatures can be detected at the population level and how they relate to cognition, psychosis spectrum symptoms, and schizophrenia genetic risk. This cross-sectional study used an independent schizophrenia-control sample (N=347; ages 16-57 years) for replication of imaging signatures, and then examined two independent population-level data sets: typically developing youths and youths with psychosis spectrum symptoms in the Philadelphia Neurodevelopmental Cohort (N=359; ages 16-23 years) and adults in the UK Biobank study (N=836; ages 44-50 years). The authors quantified signature expression using support-vector machine learning and compared cognition, psychopathology, and polygenic risk between signatures. Two neuroanatomical signatures of schizophrenia were replicated. Signature 1 but not signature 2 was significantly more common in youths with psychosis spectrum symptoms than in typically developing youths, whereas signature 2 frequency was similar in the two groups. In both youths and adults, signature 1 was associated with worse cognitive performance than signature 2. Compared with adults with neither signature, adults expressing signature 1 had elevated schizophrenia polygenic risk scores, but this was not seen for signature 2. The authors successfully replicated two neuroanatomical signatures of schizophrenia and describe their prevalence in population-based samples of youths and adults. They further demonstrated distinct relationships of these signatures with psychosis symptoms, cognition, and genetic risk, potentially reflecting underlying neurobiological vulnerability.
YR 2022
FD 2022-04-12
LK http://hdl.handle.net/10668/20207
UL http://hdl.handle.net/10668/20207
LA en
DS RISalud
RD Apr 16, 2025