Dysconnectivity of multiple brain networks in schizophrenia: a meta-analysis of resting-state functional connectivity

S Li, N Hu, W Zhang, B Tao, J Dai, Y Gong… - Frontiers in …, 2019 - frontiersin.org
Background: Seed-based studies on resting-state functional connectivity (rsFC) in
schizophrenia have shown disrupted connectivity involving a number of brain networks; …

Neural substrates of reward anticipation and outcome in schizophrenia: a meta-analysis of fMRI findings in the monetary incentive delay task

J Zeng, J Yan, H Cao, Y Su, Y Song, Y Luo… - Translational …, 2022 - nature.com
Dysfunction of the mesocorticolimbic dopaminergic reward system is a core feature of
schizophrenia (SZ), yet its precise contributions to different stages of reward processing and …

Dysfunction of large-scale brain networks in schizophrenia: a meta-analysis of resting-state functional connectivity

D Dong, Y Wang, X Chang, C Luo… - Schizophrenia …, 2018 - academic.oup.com
Schizophrenia is a complex mental disorder with disorganized communication among large-
scale brain networks, as demonstrated by impaired resting-state functional connectivity …

Harmonization of resting-state functional MRI data across multiple imaging sites via the separation of site differences into sampling bias and measurement bias

A Yamashita, N Yahata, T Itahashi, G Lisi… - PLoS …, 2019 - journals.plos.org
When collecting large amounts of neuroimaging data associated with psychiatric disorders,
images must be acquired from multiple sites because of the limited capacity of a single site …

Predictive Processing: A Circuit Approach to Psychosis

GB Keller, P Sterzer - Annual Review of Neuroscience, 2024 - annualreviews.org
Predictive processing is a computational framework that aims to explain how the brain
processes sensory information by making predictions about the environment and minimizing …

Independent and reproducible hippocampal radiomic biomarkers for multisite Alzheimer's disease: diagnosis, longitudinal progress and biological basis

K Zhao, Y Ding, Y Han, Y Fan, AF Alexander-Bloch… - Science Bulletin, 2020 - Elsevier
Hippocampal morphological change is one of the main hallmarks of Alzheimer's disease
(AD). However, whether hippocampal radiomic features are robust as predictors of …

Trends in big data analyses by multicenter collaborative translational research in psychiatry

T Onitsuka, Y Hirano, K Nemoto… - Psychiatry and …, 2022 - Wiley Online Library
The underlying pathologies of psychiatric disorders, which cause substantial personal and
social losses, remain unknown, and their elucidation is an urgent issue. To clarify the core …

Neuroimaging and multiomics reveal cross-scale circuit abnormalities in schizophrenia

M Wang, H Yan, X Tian, W Yue, Y Liu, L Fan… - Nature Mental …, 2023 - nature.com
Schizophrenia (SCZ) is a highly heterogeneous disorder with diverse clinical manifestations
and macro-and microscale biological variations, usually observed at dissociable levels …

Macroscale connectome topographical structure reveals the biomechanisms of brain dysfunction in Alzheimer's disease

K Zhao, D Wang, D Wang, P Chen, Y Wei, L Tu… - Science …, 2024 - science.org
The intricate spatial configurations of brain networks offer essential insights into
understanding the specific patterns of brain abnormalities and the underlying biological …

Cerebellar-prefrontal network connectivity and negative symptoms in schizophrenia

RO Brady Jr, I Gonsalvez, I Lee… - American Journal of …, 2019 - Am Psychiatric Assoc
Objective: The interpretability of results in psychiatric neuroimaging is significantly limited by
an overreliance on correlational relationships. Purely correlational studies cannot alone …