Association of individual-based morphological brain network alterations with cognitive impairment in type 2 diabetes mellitus

Frontiers in Neurology, Год журнала: 2025, Номер 15

Опубликована: Янв. 9, 2025

To investigate the altered characteristics of cortical morphology and individual-based morphological brain networks in type 2 diabetes mellitus (T2DM), as well neural network mechanisms underlying cognitive impairment T2DM. A total 150 T2DM patients 130 healthy controls (HCs) were recruited this study. The study used voxel- surface-based morphometric analyses to alterations (including gray matter volume, thickness, surface area, localized gyrus index) brains patients. Then two methods, Jensen-Shannon divergence-based similarities (JSDs) Kullback-Leibler (KLDs), construct individual based on discover features topological extract abnormal key regions. Subsequently, partial correlation performed explore relationship between clinical biochemical indices, neuropsychological test scores, indices. Brain regions with reduced volume thickness mainly concentrated frontal lobe, temporal parietal anterior cingulate gyrus, insula, lingual cerebellar hemispheres. global attributes Individual-based significantly (Cp, Eloc, σ), an increase nodal efficiency hippocampus local parahippocampal transverse reduced. There was a these node scale scores. This demonstrated that exhibit generalized atrophy damage morphologic networks. It also identified overlapping cognitively relevant regions, primarily within limbic/paralimbic (especially gyrus), which may serve imaging markers for identifying deficits These findings offer new insights into T2DM-associated impairment.

Язык: Английский

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

Brain and Behavior, Год журнала: 2025, Номер 15(4)

Опубликована: Апрель 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.

Язык: Английский

Abnormal topological structure of structural covariance networks based on fractal dimension in noise induced hearing loss

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Ноя. 28, 2024

The topological attributes of structural covariance networks (SCNs) based on fractal dimension (FD) and changes in brain network connectivity were investigated using graph theory network-based statistics (NBS) patients with noise-induced hearing loss (NIHL). High-resolution 3D T1 images 40 NIHL 38 healthy controls (HCs) analyzed. FD-based Pearson correlation coefficients calculated converted to Fisher's Z construct the SCNs. Topological hubs theory. measures between groups compared nonparametric permutation tests. Abnormal connection identified NBS analysis. group showed a significantly increased normalized clustering coefficient, characteristic path length, decreased nodal efficiency right medial orbitofrontal gyrus. Additionally, betweenness centrality degree both transverse temporal gyrus left parahippocampal group. analysis revealed two subnetworks abnormal connections. subnetwork enhanced connections was mainly distributed default mode, frontoparietal, dorsal attention, somatomotor networks, whereas reduced limbic, visual, auditory networks. These findings demonstrate structure SCNs NIHL, which may contribute understand complex mechanisms damage at level, providing new theoretical basis for neuropathological mechanisms.

Язык: Английский