Exploring the interaction of APOE- ε 4 and PICALM rs3851179 with dynamic functional connectivity in healthy middle-aged adults at risk for Alzheimer’s disease
Year: 2026
Type: article
Study design: Observational Study
Abstract: Objective. This study investigates whether dynamic functional connectivity (dFC) dwell-time patterns derived from resting-state functional magnetic resonance imaging (rs-fMRI) can distinguish Alzheimer’s disease (AD) genetic risk profiles, specifically the APOE- ε 4 (A+) and phosphatidylinositol-binding clathrin assembly protein rs3851179 (P+) variants, in cognitively healthy, middle-aged adults. Approach. We estimated recurring dFC clusters from rs-fMRI data and quantified the dwell-time (total duration spent in specific connectivity states) for three cohorts: not-at-risk, A+P−, and A+P+. To evaluate the utility of these temporal features, group differences in dwell-time profiles were assessed, and logistic regression with permutation testing was employed to classify genotypes based on dFC patterns. Main results. Individuals in at-risk groups (A+P− and A+P+) exhibited significantly reduced dwell-time in left-hemisphere hubs compared to the not-at-risk group, aligning with known left-hemisphere vulnerability in early AD progression. The logistic regression models achieved above-chance discrimination of genotypes, with permutation tests confirming a significant trend when distinguishing not-at-risk individuals from the combined at-risk cohorts. Significance. These findings suggest that the temporal dFC features are sensitive to subtle functional brain alterations linked to AD genetic risk before clinical symptoms appear. Dwell-time features represent a promising physiological marker for early risk stratification and warrant further validation in larger longitudinal datasets. Our code is available at https://github.com/Shyamal-Dharia/APOE-PICALM-dFC-dwell-time.git .
Source: Journal of Neural Engineering
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: hybrid
Estimated APC paid: $3,325
OpenAlex ID: W7131102365
