Cortical Surface Spatial Analysis Reveals Altered Brain Functional Network Topology in T2DM With Mild Cognitive Impairment DOI Creative Commons

Yanfeng Fan,

Jing Tian,

Xinfeng Yu

et al.

Brain and Behavior, Journal Year: 2025, Volume and Issue: 15(4)

Published: April 1, 2025

ABSTRACT Objective Approximately 45.0% of patients who have type 2 diabetes mellitus (T2DM) exhibit mild cognitive impairment (MCI). However, the specific alternations in T2DM with MCI (T2DM‐MCI)‐related brain functional networks (BFN) remain unclear. Therefore, present study aimed to investigate alterations topological properties BFN and without MCI, utilizing a cortical surface‐based graph theory analysis resting‐state magnetic resonance imaging data. Methods Neuropsychological performance BFNs were determined 64 T2DM‐MCI patients, 58 (T2DM‐noMCI), 78 healthy controls (HC). Moreover, we conducted correlation stepwise multiple linear regression analysis. Results The group showed increased global efficiency decreased shortest path length compared T2DM‐noMCI. In left posterior cingulate, exhibited higher nodal T2DM‐noMCI group. Additionally, both degree centrality significantly lower than HC. Degree basal ganglia elevated groups. Alterations these regions related function scores. Conclusion suggest that attributes this region may be involved neurophysiopathological mechanisms injury T2DM. Conversely, cingulate gyrus indicate its potential as neuroimaging biomarker patients.

Language: Английский

Extracting interpretable signatures of whole-brain dynamics through systematic comparison DOI Creative Commons
Annie G. Bryant, Kevin Aquino, Linden Parkes

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 12, 2024

The brain's complex distributed dynamics are typically quantified using a limited set of manually selected statistical properties, leaving the possibility that alternative dynamical properties may outperform those reported for given application. Here, we address this limitation by systematically comparing diverse, interpretable features both intra-regional activity and inter-regional functional coupling from resting-state magnetic resonance imaging (rs-fMRI) data, demonstrating our method case-control comparisons four neuropsychiatric disorders. Our findings generally support use linear time-series analysis techniques rs-fMRI analyses, while also identifying new ways to quantify informative fMRI structures. While simple representations performed surprisingly well (e.g., within single brain region), combining with improved performance, underscoring distributed, multifaceted changes in comprehensive, data-driven introduced here enables systematic identification interpretation quantitative signatures multivariate applicability beyond neuroimaging diverse scientific problems involving time-varying systems.

Language: Английский

Citations

5
THE PROMISE OF INVESTIGATING NEURAL VARIABILITY IN PSYCHIATRIC DISORDERS DOI Creative Commons
Konstantinos Tsikonofilos, Arvind Kumar, Konstantinos Ampatzis

et al.

Biological Psychiatry, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Language: Английский

Citations

0
Cortical Surface Spatial Analysis Reveals Altered Brain Functional Network Topology in T2DM With Mild Cognitive Impairment DOI Creative Commons

Yanfeng Fan,

Jing Tian,

Xinfeng Yu

et al.

Brain and Behavior, Journal Year: 2025, Volume and Issue: 15(4)

Published: April 1, 2025

ABSTRACT Objective Approximately 45.0% of patients who have type 2 diabetes mellitus (T2DM) exhibit mild cognitive impairment (MCI). However, the specific alternations in T2DM with MCI (T2DM‐MCI)‐related brain functional networks (BFN) remain unclear. Therefore, present study aimed to investigate alterations topological properties BFN and without MCI, utilizing a cortical surface‐based graph theory analysis resting‐state magnetic resonance imaging data. Methods Neuropsychological performance BFNs were determined 64 T2DM‐MCI patients, 58 (T2DM‐noMCI), 78 healthy controls (HC). Moreover, we conducted correlation stepwise multiple linear regression analysis. Results The group showed increased global efficiency decreased shortest path length compared T2DM‐noMCI. In left posterior cingulate, exhibited higher nodal T2DM‐noMCI group. Additionally, both degree centrality significantly lower than HC. Degree basal ganglia elevated groups. Alterations these regions related function scores. Conclusion suggest that attributes this region may be involved neurophysiopathological mechanisms injury T2DM. Conversely, cingulate gyrus indicate its potential as neuroimaging biomarker patients.

Language: Английский

Citations

0