The schizophrenia syndrome, circa 2024: What we know and how that informs its nature
R Tandon, H Nasrallah, S Akbarian… - Schizophrenia …, 2024 - Elsevier
With new data about different aspects of schizophrenia being continually generated, it
becomes necessary to periodically revisit exactly what we know. Along with a need to review …
becomes necessary to periodically revisit exactly what we know. Along with a need to review …
Two distinct neuroanatomical subtypes of schizophrenia revealed using machine learning
Neurobiological heterogeneity in schizophrenia is poorly understood and confounds current
analyses. We investigated neuroanatomical subtypes in a multi-institutional multi-ethnic …
analyses. We investigated neuroanatomical subtypes in a multi-institutional multi-ethnic …
Biological subtyping of psychiatric syndromes as a pathway for advances in drug discovery and personalized medicine
Every common psychiatric syndrome is genetically, neurobiologically and clinically
heterogeneous. This heterogeneity may reflect the dimensional variability of a single illness …
heterogeneous. This heterogeneity may reflect the dimensional variability of a single illness …
Cell type-specific manifestations of cortical thickness heterogeneity in schizophrenia
Brain morphology differs markedly between individuals with schizophrenia, but the cellular
and genetic basis of this heterogeneity is poorly understood. Here, we sought to determine …
and genetic basis of this heterogeneity is poorly understood. Here, we sought to determine …
Neuroimaging and multiomics reveal cross-scale circuit abnormalities in schizophrenia
Schizophrenia (SCZ) is a highly heterogeneous disorder with diverse clinical manifestations
and macro-and microscale biological variations, usually observed at dissociable levels …
and macro-and microscale biological variations, usually observed at dissociable levels …
Schizophrenia imaging signatures and their associations with cognition, psychopathology, and genetics in the general population
Objective: The prevalence and significance of schizophrenia-related phenotypes at the
population level is debated in the literature. Here, the authors assessed whether two …
population level is debated in the literature. Here, the authors assessed whether two …
Identification of shared and distinct patterns of brain network abnormality across mental disorders through individualized structural covariance network analysis
S Han, K Xue, Y Chen, Y Xu, S Li, X Song… - Psychological …, 2023 - cambridge.org
BackgroundMental disorders, including depression, obsessive compulsive disorder (OCD),
and schizophrenia, share a common neuropathy of disturbed large-scale coordinated brain …
and schizophrenia, share a common neuropathy of disturbed large-scale coordinated brain …
Resolving heterogeneity in obsessive–compulsive disorder through individualized differential structural covariance network analysis
S Han, Y Xu, HR Guo, K Fang, Y Wei, L Liu… - Cerebral …, 2023 - academic.oup.com
Background The high heterogeneity of obsessive–compulsive disorder (OCD) denies
attempts of traditional case–control studies to derive neuroimaging biomarkers indicative of …
attempts of traditional case–control studies to derive neuroimaging biomarkers indicative of …
Resolving heterogeneity in depression using individualized structural covariance network analysis
S Han, R Zheng, S Li, B Zhou, Y Jiang, K Fang… - Psychological …, 2023 - cambridge.org
BackgroundElucidating individual aberrance is a critical first step toward precision medicine
for heterogeneous disorders such as depression. The neuropathology of depression is …
for heterogeneous disorders such as depression. The neuropathology of depression is …
Leveraging machine learning for gaining neurobiological and nosological insights in psychiatric research
Much attention is currently devoted to developing diagnostic classifiers for mental disorders.
Complementing these efforts, we highlight the potential of machine learning to gain …
Complementing these efforts, we highlight the potential of machine learning to gain …