Transcriptional patterns of the cortical Morphometric Inverse Divergence in first-episode, treatment-naïve early-onset schizophrenia DOI Creative Commons
Guanqun Yao, Jing Luo, Ting Zou

et al.

NeuroImage, Journal Year: 2023, Volume and Issue: 285, P. 120493 - 120493

Published: Dec. 10, 2023

Early-onset Schizophrenia (EOS) is a profoundly progressive psychiatric disorder characterized by both positive and negative symptoms, whose pathogenesis influenced genes, environment brain structure development. In this study, the MIND (Morphometric Inverse Divergence) network was employed to explore relationship between morphological similarity specific transcriptional expression patterns in EOS patients. This study involved cohort of 187 participants aged 7 17 years, consisting 97 patients 90 healthy controls (HC). Multiple features were used construct for all participants. Furthermore, we explored associations brain-wide gene through partial least squares (PLS) regression, shared genetic predispositions with other disorders, functional enrichment PLS weighted as well signature assessment cell types, cortical layers, developmental stages. The showed differences orbitofrontal cortex, pericalcarine lingual gyrus, multiple networks compared HC. Moreover, our exploration revealed significant overlap PLS2 genes linking EOS-related dysregulated reported diseases. Interestingly, correlated changes (PLS2-) exhibited not only metabolism-related pathways, but also astrocytes, layers (specifically layer I III), posterior stages (late infancy young adulthood stages). However, PLS2+ primarily enriched synapses signaling-related pathways early (from early-mid fetal neonatal infancy) special types or layers. These findings provide novel perspective on intricate macroscopic morphometric structural abnormalities microscopic during onset progression EOS.

Language: Английский

Towards a biologically annotated brain connectome DOI
Vincent Bazinet, Justine Y. Hansen, Bratislav Mišić

et al.

Nature reviews. Neuroscience, Journal Year: 2023, Volume and Issue: 24(12), P. 747 - 760

Published: Oct. 17, 2023

Language: Английский

Citations

38
Toward individualized connectomes of brain morphology DOI Open Access
Jinhui Wang, Yong He

Trends in Neurosciences, Journal Year: 2023, Volume and Issue: 47(2), P. 106 - 119

Published: Dec. 22, 2023

Language: Английский

Citations

29
Integrating multimodal and multiscale connectivity blueprints of the human cerebral cortex in health and disease DOI Creative Commons
Justine Y. Hansen, Golia Shafiei, Katharina Voigt

et al.

PLoS Biology, Journal Year: 2023, Volume and Issue: 21(9), P. e3002314 - e3002314

Published: Sept. 25, 2023

The brain is composed of disparate neural populations that communicate and interact with one another. Although fiber bundles, similarities in molecular architecture, synchronized activity all reflect how regions potentially another, a comprehensive study these interregional relationships jointly structure function remains missing. Here, we systematically integrate 7 multimodal, multiscale types similarity ("connectivity modes") derived from gene expression, neurotransmitter receptor density, cellular morphology, glucose metabolism, haemodynamic activity, electrophysiology humans. We first show for connectivity modes, feature decreases distance increases when are structurally connected. Next, modes exhibit unique diverse connection patterns, hub profiles, spatial gradients, modular organization. Throughout, observe consistent primacy modes-namely correlated expression similarity-that map onto multiple phenomena, including the rich club patterns abnormal cortical thickness across 13 neurological, psychiatric, neurodevelopmental disorders. Finally, to construct single multimodal wiring human cortex, fuse fused network maps major organizational features cortex structural connectivity, intrinsic functional networks, cytoarchitectonic classes. Altogether, this work contributes integrative cerebral cortex.

Language: Английский

Citations

27
Network Analysis in Multiple Sclerosis and Related Disorders DOI
Giuseppe Pontillo,

Mar Barrantes Cepas,

Tommy A.A. Broeders

et al.

Neuroimaging Clinics of North America, Journal Year: 2024, Volume and Issue: 34(3), P. 375 - 384

Published: April 25, 2024

Language: Английский

Citations

8
Conventional MRI-Based Structural Disconnection and Morphometric Similarity Networks and Their Clinical Correlates in Multiple Sclerosis DOI
Mario Tranfa, Maria Petracca, Marcello Moccia

et al.

Neurology, Journal Year: 2025, Volume and Issue: 104(4)

Published: Jan. 23, 2025

Although multiple sclerosis (MS) can be conceptualized as a network disorder, brain analyses typically require advanced MRI sequences not commonly acquired in clinical practice. Using conventional MRI, we assessed cross-sectional and longitudinal structural disconnection morphometric similarity networks people with MS (pwMS), along their relationship disability. In this monocentric study, 3T of pwMS healthy controls (HC) was retrospectively analyzed. Physical cognitive disabilities were the expanded disability status scale (EDSS) symbol digit modalities test (SDMT), respectively. Demyelinating lesions automatically segmented, corresponding masks used to assess pairwise between atlas-defined regions based on normative tractography data. Morphometric Inverse Divergence method, computed cortical FreeSurfer surface reconstruction. network-based statistics (NBS) its extension NBS-predict, tested whether subject-level connectomes associated disease status, progression, disability, long-term confirmed progression (CDP), independently from global lesion burden atrophy. We studied 461 (age = 37.2 ± 10.6 years, F/M 324/137), 1,235 visits (mean follow-up time 1.9 2.0 range 0.1-13.3 years), 55 HC 42.4 15.7 years; 25/30). Long-term available for 285 12.4 2.8 127 whom (44.6%) exhibited CDP. At baseline, mostly centered around thalami sensory association hubs, while extensively disrupted (pFWE < 0.01). EDSS related frontothalamic 0.01) left perisylvian cortex 0.02), SDMT cortico-subcortical hemisphere Longitudinally, both disruption significantly progressed 0.04 pFWE 0.01), correlating increase (ρ 0.07, p 0.02 ρ 0.11, 0.001), baseline predicted CDP (accuracy 59% [58-60], 0.03). Structural networks, through are sensitive MS-related damage progression. They explain disease-related predict evolution atrophy, potentially adding established measures biomarkers severity

Language: Английский

Citations

1
Morphometric brain organization across the human lifespan reveals increased dispersion linked to cognitive performance DOI Creative Commons
Jiao Li, Chao Zhang, Yao Meng

et al.

PLoS Biology, Journal Year: 2024, Volume and Issue: 22(6), P. e3002647 - e3002647

Published: June 20, 2024

The human brain is organized as segregation and integration units follows complex developmental trajectories throughout life. cortical manifold provides a new means of studying the brain’s organization in multidimensional connectivity gradient space. However, how morphometric changes across lifespan remains unclear. Here, leveraging structural magnetic resonance imaging scans from 1,790 healthy individuals aged 8 to 89 years, we investigated age-related global, within- between-network dispersions reveal networks 3D manifolds based on similarity network (MSN), combining multiple features conceptualized “fingerprint” an individual’s brain. Developmental global dispersion unfolded along patterns molecular organization, such acetylcholine receptor. Communities were increasingly dispersed with age, reflecting more disassortative profiles within community. Increasing within-network primary motor association cortices mediated influence age cognitive flexibility executive functions. We also found that secondary sensory decreasingly rest during aging, possibly indicating shift extreme central position manifolds. Together, our results MSN perspective space, providing insights into brain, well performance.

Language: Английский

Citations

6
Morphological Brain Networks of White Matter: Mapping, Evaluation, Characterization, and Application DOI Creative Commons
Junle Li,

Suhui Jin,

Zhen Li

et al.

Advanced Science, Journal Year: 2024, Volume and Issue: unknown

Published: July 15, 2024

Although white matter (WM) accounts for nearly half of adult brain, its wiring diagram is largely unknown. Here, an approach developed to construct WM networks by estimating interregional morphological similarity based on structural magnetic resonance imaging. It found that showed nontrivial topology, presented good-to-excellent test-retest reliability, accounted phenotypic interindividual differences in cognition, and are under genetic control. Through integration with multimodal multiscale data, it further able predict the patterns hamodynamic coherence, metabolic synchronization, gene co-expression, chemoarchitectonic covariance, associated connectivity. Moreover, prediction followed functional connectomic hierarchy related genes enriched forebrain neuron development differentiation serotonergic system-related receptors transporters covariance. Finally, applying this multiple sclerosis neuromyelitis optica spectrum disorders, both diseases exhibited dysconnectivity, which correlated clinical variables patients diagnose differentiate diseases. Altogether, these findings indicate provide a reliable biologically meaningful means explore architecture health disease.

Language: Английский

Citations

6
Structural MRI of brain similarity networks DOI
Isaac Sebenius, Lena Dorfschmidt, Jakob Seidlitz

et al.

Nature reviews. Neuroscience, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 28, 2024

Language: Английский

Citations

6
Brain structure and functional connectivity linking childhood cumulative trauma to COVID‐19 vicarious traumatization DOI
Xiqin Liu, Yajun Zhao, Jingguang Li

et al.

Journal of Child Psychology and Psychiatry, Journal Year: 2024, Volume and Issue: 65(11), P. 1407 - 1418

Published: April 17, 2024

The COVID-19 pandemic has caused some individuals to experience vicarious traumatization (VT), an adverse psychological reaction those who are primarily traumatized, which may negatively impact one's mental health and well-being been demonstrated vary with personal trauma history. neural mechanism of VT how past history affects current remain largely unknown. This study aimed identify neurobiological markers that track individual differences in reveal the link between childhood cumulative (CCT) VT.

Language: Английский

Citations

4
Altered morphometric similarity networks in insomnia disorder DOI
Yulin Wang,

Jingqi Yang,

Haobo Zhang

et al.

Brain Structure and Function, Journal Year: 2024, Volume and Issue: 229(6), P. 1433 - 1445

Published: May 27, 2024

Language: Английский

Citations

4