Meta-analysis finds distinct fMRI activation patterns in MCI and Alzheimer's disease during cognitive tasks
This coordinate-based meta-analysis (activation likelihood estimation, ALE) synthesized data from 90 task-based functional MRI (fMRI) studies involving 2824 participants, including patients with mild cognitive impairment (MCI), Alzheimer's disease (AD), and healthy controls (HC). The analysis examined brain activation patterns during cognitive tasks across four domains, comparing patients to HC to identify spatially convergent regions of aberrant activation or hypoactivation.
In patients with MCI, significant activation clusters across memory tasks and all tasks combined were observed. Meta-analytic functional decoding suggested these clusters were linked to spatial and phonological processing, overlapping with dorsal attention and frontoparietal networks. In patients with AD, significant activation convergence was found specifically in the superior temporal gyrus, a region the analysis linked to auditory functions and overlapping with the somatomotor network.
No safety, tolerability, or adverse event data were reported for the fMRI procedures. The study's key limitations include its observational nature, the inferential process of functional decoding, and the lack of reported effect sizes or absolute participant numbers for specific findings. The analysis used cluster-level family-wise error correction to control for false positives.
For clinical practice, this meta-analysis provides a synthesized map of task-related brain activation differences in MCI and AD. The findings highlight distinct neural signatures but represent spatial associations from cross-sectional data. They do not establish causation, predict disease progression, or demonstrate utility for individual diagnosis or treatment monitoring.