Mapping Cognitive Signatures through Simultaneous EEG–fMRI Coupling: Insights from MoCA and MMSE across Alzheimer’s Disease and Healthy Ageing
Author Block: H. ZHANG1, S. Laws2, L. XIE3, S. Ma3; 1DaZhou/CN, 2Joondalup, WA/AU, 3Shantou, Guangdong/CN
Purpose: To test whether resting-state EEG–fMRI coupling strength (R²) indexes cognitive performance across AD, MCI, and healthy ageing, and to identify stage- and domain-specific brain–cognition signatures via multimodal imaging.
Methods or Background: Simultaneous resting-state EEG–fMRI from 99 participants (AD=14, MCI=45, HC=40) was analyzed. EEG features were convolved with a canonical hemodynamic response function and regressed against voxel-wise fMRI via general linear models. Regional R² maps were derived and correlated with MoCA and MMSE within groups.
Results or Findings: In AD, MoCA correlated negatively with R² in the supplementary motor area (right; r=−0.65, p=.012), inferior temporal gyrus (left; r=−0.72, p=.004), and occipital superior gyrus (right; r=−0.71, p=.005), indicating lower cognition with higher coupling in sensorimotor/visual cortices. In MCI, MoCA showed negative correlations in thalamic regions (pulvinar anterior, left; r=−0.37, p=.013) and the parahippocampal gyrus (r=−0.32, p=.028). For MMSE, AD exhibited positive R² associations in cerebellar vermis 8 (r=+0.76, p=.002) and cerebellum lobule 10 (right; r=+0.60, p=.022), whereas MCI and HC showed widespread negative R²–MMSE relationships, notably in superior temporal gyrus (right; r=−0.57, p<.001), Rolandic operculum (r=−0.39, p=.012), and thalamic anterior ventral nucleus (r=−0.38, p=.018). Overall patterns differed by group and cognitive domain, underscoring stage specificity.
Conclusion: EEG–fMRI coupling strength (R²) delineates discrete, clinically meaningful neural signatures across the dementia continuum. Multidomain cognitive testing captures complementary vulnerability profiles, underscoring the value of coupling metrics for individualized diagnosis and monitoring. Coupling-based biomarkers show promise for early detection, risk stratification, and precision intervention, with clear potential for integration into multimodal clinical workflows.
Limitations: Single-center, cross-sectional cohort (n=99) with class imbalance (AD=14) and no external replication limits generalizability and causal inference; reliance on a canonical HRF and atlas parcellation may bias regional estimates.
Funding for this study: None
Has your study been approved by an ethics committee? Yes
Ethics committee - additional information: The study protocol was approved by the Institutional Ethics Committee of the First Affiliated Hospital of Shantou University Medical College (Approval No.: SDFY-EC-SOP-044-B-2022-188).