Depicting Coupling Between Cortical Morphology and Functional Networks in Major Depressive Disorder DOI Creative Commons
Peng Wang, Liwei Lu,

Jinghua Wang

et al.

Depression and Anxiety, Journal Year: 2025, Volume and Issue: 2025(1)

Published: Jan. 1, 2025

An enduring mystery in neuroscience is the intricate interplay between brain anatomical structure and functional dynamics, particularly context of mental disorders such as major depressive disorder (MDD). A pivotal scientific question arises: How does cortical morphology-function coupling (MFC) manifest MDD, what insights can this provide into clinical manifestations disorder? To tackle question, we conducted a comprehensive analysis using high-resolution T1-weighted structural magnetic resonance imaging (MRI) resting-state MRI (rs-fMRI) data from cohort 830 MDD patients 853 healthy control (HC). By constructing morphological networks based on gray matter (GM) morphology regional rs-fMRI time series correlations, respectively, aimed to quantify MFC by assessing spatial correspondence these networks. Results revealed that exhibited hierarchical pattern similar HC, with variations specific Specifically, lower was observed visual network (VIS) sensorimotor (SMN), while higher noted default mode (DMN) frontoparietal (FPN). Notably, demonstrated significantly increased within VIS, SMN, dorsal attention (DAN) compared HC. Furthermore, altered VIS correlated positively symptom severity. These findings contribute our understanding potential significance alterations MDD.

Language: Английский

Structure–function coupling reveals the brain hierarchical structure dysfunction in Alzheimer's disease: A multicenter study DOI Creative Commons

Yibao Sun,

Pan Wang, Kun Zhao

et al.

Alzheimer s & Dementia, Journal Year: 2024, Volume and Issue: 20(9), P. 6305 - 6315

Published: July 28, 2024

Abstract BACKGROUND Alzheimer's disease (AD) is a neurodegenerative condition characterized by cognitive decline. To date, the specific dysfunction in brain's hierarchical structure AD remains unclear. METHODS We introduced structural decoupling index (SDI), based on multi‐site data set comprising functional and diffusion‐weighted magnetic resonance imaging from 793 subjects, to assess their brain hierarchy. RESULTS Compared normal controls (NCs), individuals with exhibited increased SDI within posterior superior temporal sulcus, insular gyrus, precuneus, hippocampus, amygdala, postcentral cingulate gyrus; meanwhile, patients demonstrated decreased frontal lobe. The those regions also showed significant correlation ability. Moreover, was robust neuroimaging biomarker capable of accurately distinguishing diagnostic status (area under curve [AUC] = 0.86). DISCUSSION Our findings revealed AD. Furthermore, could serve as promising for Highlights This study utilized multi‐center, multi‐modal East Asian populations. found an spatial gradient (SDI) sensory–motor higher‐order regions. Changes are associated energy metabolism mitochondria. can identify further uncover mechanisms

Language: Английский

Citations

5
Structure-function coupling alterations in cognitively normal individuals with white matter hyperintensities DOI Creative Commons
Junyong Du, Shabei Xu, Wenhao Zhu

et al.

Journal of Alzheimer s Disease, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 10, 2025

Background White matter hyperintensities (WMH) are prominent neuroimaging markers of cerebral small vessel disease (CSVD) linked to cognitive decline. Nevertheless, the pathophysiological mechanisms underlying WMH remain unclear. Objective This study aimed assess structural decoupling index (SDI) as a novel metric for quantifying brain's hierarchical organization associated with in cognitively normal older adults. Methods We analyzed data from 112 individuals varying burdens (43 high burden and 69 low burden). Neuroimaging were used calculate SDI, gene enrichment analysis was conducted explore related molecular pathways. Results An increased spatial gradient SDI sensory-motor cortex associative observed. Compared group, group exhibited elevated right superior frontal gyrus, bilateral orbital precentral cingulate thalamus, striatum. In left thalamus gyrus negatively correlated memory, while positively processing speed. Gene highlighted associations pathways involved neural system function, potassium ion transmembrane transport, synaptic signaling, neuron projection development, cell secretion regulation. Conclusions The findings suggest alterations potential mechanistic pathway WMH, which is significant impairments. provides theoretical framework understanding pathophysiology progression subsequent deficits.

Language: Английский

Citations

0
Interpretable modality-specific and interactive graph convolutional network on brain functional and structural connectomes DOI
Jing Xia, Yi Hao Chan,

Deepank Girish

et al.

Medical Image Analysis, Journal Year: 2025, Volume and Issue: 102, P. 103509 - 103509

Published: Feb. 25, 2025

Language: Английский

Citations

0
Detection of structural-functional coupling abnormalities using multimodal brain networks in Alzheimer’s disease: A comparison of three computational models DOI Creative Commons
Yinping Lu, Lu-Yao Wang,

Toshiya Murai

et al.

NeuroImage Clinical, Journal Year: 2025, Volume and Issue: 46, P. 103764 - 103764

Published: Jan. 1, 2025

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by the disconnection of white matter fibers and disrupted functional connectivity gray matter; however, pathological mechanisms linking structural changes remain unclear. This study aimed to explore interaction between brain network in AD using advanced structural-functional coupling (S-F coupling) models assess whether these correlate with cognitive function, Aβ deposition levels, gene expression. In this study, we utilized multimodal magnetic resonance imaging data from 41 individuals AD, 112 mild impairment, 102 healthy controls mechanisms. We applied different computational examine S-F associated AD. Our results showed that communication graph harmonic demonstrated greater heterogeneity were more sensitive than statistical detecting AD-related changes. addition, increases progression at global, subnetwork, regional node especially medial prefrontal anterior cingulate cortices. The regions also partially mediated decline deposition. Furthermore, enrichment analysis revealed strongly regulation cellular catabolic processes. advances our understanding highlights importance elucidating neural underlying

Language: Английский

Citations

0
Depicting Coupling Between Cortical Morphology and Functional Networks in Major Depressive Disorder DOI Creative Commons
Peng Wang, Liwei Lu,

Jinghua Wang

et al.

Depression and Anxiety, Journal Year: 2025, Volume and Issue: 2025(1)

Published: Jan. 1, 2025

An enduring mystery in neuroscience is the intricate interplay between brain anatomical structure and functional dynamics, particularly context of mental disorders such as major depressive disorder (MDD). A pivotal scientific question arises: How does cortical morphology-function coupling (MFC) manifest MDD, what insights can this provide into clinical manifestations disorder? To tackle question, we conducted a comprehensive analysis using high-resolution T1-weighted structural magnetic resonance imaging (MRI) resting-state MRI (rs-fMRI) data from cohort 830 MDD patients 853 healthy control (HC). By constructing morphological networks based on gray matter (GM) morphology regional rs-fMRI time series correlations, respectively, aimed to quantify MFC by assessing spatial correspondence these networks. Results revealed that exhibited hierarchical pattern similar HC, with variations specific Specifically, lower was observed visual network (VIS) sensorimotor (SMN), while higher noted default mode (DMN) frontoparietal (FPN). Notably, demonstrated significantly increased within VIS, SMN, dorsal attention (DAN) compared HC. Furthermore, altered VIS correlated positively symptom severity. These findings contribute our understanding potential significance alterations MDD.

Language: Английский

Citations

0