Alterations in individual structural covariance networks in patients with insomnia disorder DOI Creative Commons
Jiatao Li,

Haobo Zhang,

Xu Lei

et al.

Brain-Apparatus Communication A Journal of Bacomics, Journal Year: 2025, Volume and Issue: 4(1)

Published: Feb. 27, 2025

Language: Английский

Correlation between polygenic risk scores of depression and cortical morphology networks DOI Open Access

Qian Gong,

Wei Wang,

Zhaowen Nie

et al.

Journal of Psychiatry and Neuroscience, Journal Year: 2025, Volume and Issue: 50(1), P. E21 - E30

Published: Jan. 3, 2025

Background:

Cortical morphometry is an intermediate phenotype that closely related to the genetics and onset of major depressive disorder (MDD), cortical morphometric networks are considered more relevant disease mechanisms than brain regions. We sought investigate changes in MDD their relationship with genetic risk healthy controls.

Methods:

recruited controls patients Han Chinese descent. Participants underwent DNA extraction magnetic resonance imaging, including T1-weighted diffusion tensor imaging. calculated polygenic scores (PRS) based on previous summary statistics from a genome-wide association study population. used novel method Kullback–Leibler divergence construct inverse (MIND) network, we included classic similarity network (MSN) as complementary approach. Considering between white matter networks, also constructed streamlined density network. conducted group comparison PRS correlation analyses at both regional level.

Results:

130 195 MDD. The results indicated enhanced connectivity MIND among people high risk, particularly somatomotor (SMN) default mode (DMN). did not observe significant findings MSN. showed disruption primarily SMN DMN. outperformed MSN distinguishing status.

Limitations:

Our was cross-sectional could explore causal relationships morphological changes, connectivity, states. Some had received antidepressant treatment, which may have influenced morphology structure.

Conclusion:

depression be disintegration, associated decoupling These provide new insights into potential biomarkers

Language: Английский

Citations

0

Common neuroanatomical differential factors underlying heterogeneous gray matter volume variations in five common psychiatric disorders DOI Creative Commons
Shaoqiang Han,

Ya Qiang Tian,

Ruiping Zheng

et al.

Communications Biology, Journal Year: 2025, Volume and Issue: 8(1)

Published: Feb. 14, 2025

Multifaceted evidence has shown that psychiatric disorders share common neurobiological mechanisms. However, the tremendous inter-individual heterogeneity among patients with limits trans-diagnostic studies case-control designs, aimed at identifying clinically promising neuroimaging biomarkers. This study aims to identify neuroanatomical differential factors (ND factors) underlying gray matter volume variations in five disorders. We leverage 4 independent datasets of 878 diagnosed and 585 healthy controls (HCs) shared ND individualized variations. Individualized are represented linear weighted sum factors, each case is assigned a unique factor composition, thus preserving interindividual variation. four robust can be generalized unseen show significant association group-level morphological abnormalities, reconciling individual- characterized by dissociable cognitive processes, molecular signatures, connectome-informed epicenters. Moreover, using compositions as features, we discover two transdiagnostic subtypes opposite relative HCs. In conclusion, reproducible underlie highly heterogeneous abnormalities Shared explain These

Language: Английский

Citations

0

Disrupted intersubject variability architecture in structural and functional brain connectomes in major depressive disorder DOI

Keke Fang,

Baohong Wen, Liang Liu

et al.

Psychological Medicine, Journal Year: 2025, Volume and Issue: 55

Published: Jan. 1, 2025

Abstract Background Major depressive disorder (MDD) is a heterogeneous condition characterized by significant intersubject variability in clinical presentations. Recent neuroimaging studies have indicated that MDD involves altered brain connectivity across widespread regions. However, the abnormal among patients remains understudied. Methods Utilizing large, multi-site dataset comprising 1,276 with and 1,104 matched healthy controls, this study aimed to investigate of structural covariance (IVSC) functional (IVFC) MDD. Results Patients demonstrated higher IVSC precuneus lingual gyrus, but lower medial frontal calcarine, cuneus, cerebellum anterior lobe. Conversely, they exhibited an overall increase IVFC almost entire brain, including middle cingulate cortex, hippocampus, insula, striatum, precuneus. Correlation mediation analyses revealed was positively correlated gray matter atrophy mediated relationship between atrophy. As disease progressed, increased left right posterior cingulate, calcarine. Pharmacotherapy significantly reduced superior temporal inferior parietal lobule. Furthermore, we found distinct correlations distribution neurotransmitter receptors, suggesting potential molecular underpinnings. Further analysis confirmed patterns were reproducible specificity. Conclusions These results elucidate heterogeneity MDD, underscoring importance addressing future research.

Language: Английский

Citations

0

Alterations in individual structural covariance networks in patients with insomnia disorder DOI Creative Commons
Jiatao Li,

Haobo Zhang,

Xu Lei

et al.

Brain-Apparatus Communication A Journal of Bacomics, Journal Year: 2025, Volume and Issue: 4(1)

Published: Feb. 27, 2025

Language: Английский

Citations

0