TY - JOUR
T1 - Functional connectivity in people at clinical and familial high risk for schizophrenia
AU - Zhang, Jian
AU - Yang, Yaxin
AU - Liu, Tiantian
AU - Shi, Zhongyan
AU - Pei, Guangying
AU - Wang, Li
AU - Wu, Jinglong
AU - Funahashi, Shintaro
AU - Suo, Dingjie
AU - Wang, Changming
AU - Yan, Tianyi
N1 - Publisher Copyright:
© 2023
PY - 2023/10
Y1 - 2023/10
N2 - Patients diagnosed with schizophrenia (SZ) exhibit compromised functional connectivity within extensive brain networks. However, the precise development of this impairment during disease progression in the clinical high-risk (CHR) population and their relatives remains unclear. Our study leveraged data from 128 resting electroencephalography (EEG) channels acquired from 30 SZ patients, 21 CHR individuals, 17 unaffected healthy relatives (RSs; those at heightened SZ risk due to family history), and 31 healthy controls (HCs). These data were harnessed to establish functional connectivity patterns. By calculating the geometric distance between EEG sequences, we unveiled local and global nonlinear relationships within the entire brain. The process of dimensionality reduction led to low-dimensional representations, providing insights into high-dimensional EEG data. Our findings indicated that CHR participants exhibited aberrant functional connectivity across hemispheres, whereas RS individuals showcased anomalies primarily concentrated within hemispheres. In the realm of low-dimensional analysis, RS participants' third-dimensional occipital lobe values lay between those of the CHR individuals and HCs, significantly correlating with scale scores. This low-dimensional approach facilitated the visualization of brain states, potentially offering enhanced comprehension of brain structure, function, and early-stage functional impairment, such as occipital visual deficits, in RS individuals before cognitive decline onset.
AB - Patients diagnosed with schizophrenia (SZ) exhibit compromised functional connectivity within extensive brain networks. However, the precise development of this impairment during disease progression in the clinical high-risk (CHR) population and their relatives remains unclear. Our study leveraged data from 128 resting electroencephalography (EEG) channels acquired from 30 SZ patients, 21 CHR individuals, 17 unaffected healthy relatives (RSs; those at heightened SZ risk due to family history), and 31 healthy controls (HCs). These data were harnessed to establish functional connectivity patterns. By calculating the geometric distance between EEG sequences, we unveiled local and global nonlinear relationships within the entire brain. The process of dimensionality reduction led to low-dimensional representations, providing insights into high-dimensional EEG data. Our findings indicated that CHR participants exhibited aberrant functional connectivity across hemispheres, whereas RS individuals showcased anomalies primarily concentrated within hemispheres. In the realm of low-dimensional analysis, RS participants' third-dimensional occipital lobe values lay between those of the CHR individuals and HCs, significantly correlating with scale scores. This low-dimensional approach facilitated the visualization of brain states, potentially offering enhanced comprehension of brain structure, function, and early-stage functional impairment, such as occipital visual deficits, in RS individuals before cognitive decline onset.
KW - EEG
KW - Functional connectivity
KW - High-risk populations
KW - Low-dimensional representations
KW - Occipital lobe
KW - Schizophrenia
UR - http://www.scopus.com/inward/record.url?scp=85170204244&partnerID=8YFLogxK
U2 - 10.1016/j.psychres.2023.115464
DO - 10.1016/j.psychres.2023.115464
M3 - Article
C2 - 37690192
AN - SCOPUS:85170204244
SN - 0165-1781
VL - 328
JO - Psychiatry Research
JF - Psychiatry Research
M1 - 115464
ER -