Peer-reviewedPublisher termsSchizophrenia Bulletin
Identifying Neurophysiological Subtypes in Clinical High Risk for Psychosis Using Functional Connectome Profiling
Related
- Sex-dependent effects of chronic stress during adolescence on cognitive bias and functional connectome in young adult rats
- Connectivity allometry is a robust organizing principle of the human functional connectome
- Brain age prediction from structural and functional connectivity across the lifespan using connectome-based predictive modeling
- Resting-State Functional Connectivity in Antipsychotic-Naïve First-Episode Psychosis: A Systematic Review of Network Alterations and Preprocessing Heterogeneity
- Characterizing gradients of functional connectome underpinning rumination and their alteration in depression.
BibTeX
@article{hou2026identifying,
title = {{Identifying Neurophysiological Subtypes in Clinical High Risk for Psychosis Using Functional Connectome Profiling}},
author = {Guoliang Hou and Jiayu Feng and Yulin Wang and Debo Dong},
journal = {Schizophrenia Bulletin},
year = {2026},
month = oct,
doi = {10.1093/schbul/sbag134},
url = {https://doi.org/10.1093/schbul/sbag134},
}
RIS
TY - JOUR
TI - Identifying Neurophysiological Subtypes in Clinical High Risk for Psychosis Using Functional Connectome Profiling
AU - Guoliang Hou
AU - Jiayu Feng
AU - Yulin Wang
AU - Debo Dong
PY - 2026
DA - 2026/10/30
JO - Schizophrenia Bulletin
DO - 10.1093/schbul/sbag134
UR - https://doi.org/10.1093/schbul/sbag134
SN - 0586-7614
SN - 1745-1701
ER -