It is suggested that subtle differences in higher-order functional brain network organization associated with metabolic syndrome can be detected during midlife and are related to cognitive functioning, highlighting the importance of prevention and intervention of cardiometabolic risk in midlife to preserve network integrity and cognitive health.
Abstract
Objective Metabolic syndrome (MetS) may amplify neural vulnerability via vascular and inflammatory pathways. Existing literature suggests there are alterations to functional brain network organization in adults with MetS, though the specific patterns and their relation to cognitive vulnerabilities warrant further investigation, particularly in a midlife sample. Method Cognitively unimpaired, community-dwelling adults (N = 223; ages 40–65; MetS = 73) were included. Resting-state fMRI data were preprocessed with fMRIPrep and analyzed using the Schaefer 400-parcel atlas. Functional connectivity (FC) metrics included within- and between-network connectivity, system segregation, modularity, and global efficiency. Cognitive performance was measured via neuropsychological tests for memory and executive functioning. Generalized linear models (adjusted for age, sex, framewise displacement) were used to examine group differences in FC metrics and associations between FC metrics and cognitive performance. Results MetS participants showed reduced within-network connectivity in the default mode network (DMN; adjusted p = 0.038, partial η2 = 0.035). Follow-up component-level analyses indicated abdominal obesity and low HDL cholesterol were associated with reduced connectivity in DMN (abdominal obesity: adjusted p = 0.027, partial η2 = 0.029; cholesterol: adjusted p = 0.002, partial η2 = 0.058). Reduced DMN connectivity was associated with poorer verbal fluency (adjusted p = 0.026, partial R2 = 0.037). Exploratory analyses identified age and sex as factors that interacted with MetS group to influence FC metrics (p’s < 0.050, partial η2’s = 0.020–0.030). Conclusion Midlife MetS was associated with modest reductions in within-network DMN connectivity, with abdominal obesity and low HDL cholesterol as the primary contributing MetS components. Reduced DMN connectivity was associated with poorer verbal fluency performance. These findings suggest that subtle differences in higher-order functional brain network organization associated with metabolic syndrome can be detected during midlife and are related to cognitive functioning, highlighting the importance of prevention and intervention of cardiometabolic risk in midlife to preserve network integrity and cognitive health.
Background Subclinical metabolic disturbances have been associated with functional brain changes; however, the neural pathways mediating their cognitive effects remain unclear. Objectives This study investigated whether large-scale brain network connectivity mediates associations between metabolic risk factors and cogn...
Y. Soleymani, Seyed Amir Hossein Batouli, K. Khalagi et al.· International Journal of End...· 0 citations
Network-specific associations between cardiometabolic risk and DMN organization are suggested to be detectable in indi viduals with MCI, a clinical state preceding dementia, as well as in some degree within cognitively unimpaired individuals.
Zachary D. Green, S. O'Bryant, L. Johnson et al.· Frontiers in Neuroscience· 0 citations
The clinical high-risk (CHR) state identifies individuals at elevated risk for psychosis, yet neurobiological markers of vulnerability remain incompletely characterized, particularly in African populations. Functional Network Area and Topography Analysis (FUNCATA) quantifies individualized network size and spatial orga...
D. Mamah, ShingShiun Chen, Michael P. Harms et al.· NeuroImage: Clinical· 0 citations
Cerebral small vessel disease-induced vascular cognitive impairment (VCI) is a major contributor to the pathogenesis of dementia. Accumulating evidence suggests that VCI disrupts large-scale brain networks, but how it selectively impairs inter-network connectivity and contributes to specific cognitive deficits remains...
Jing Jin, Jie Ma, Jia-Jia Wu et al.· GeroScience· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.