Disruptive resting state networks characterizing depressive comorbidity in Alzheimer’s disease and mild cognitive impairment

It is now online ALE-meta-analysis: Disruptive resting state networks characterizing depressive comorbidity in Alzheimer's disease and mild cognitive impairment by Alessandro von Gal, Dario Papa, Marco D’Auria, and Laura Piccardi, published in Journal of Alzheimer’s Disease.

This systematic literature review on Scopus, PubMed, and Web of Science extracts experiments that compare resting state scans of depressed and non-depressed MCI or AD patients. We employed Activation Likelihood Estimation (ALE) meta-analysis on eligible studies resulting from the search to describe regions of significant co-activation across studies.

The systematic search resulted in 17 experiments, with 303 participants in total. The ALE yielded 10 clusters of significant co-activation distributed in the five major RSNs and across cortico-basal ganglia-thalamic circuits.

In conclusion, we found that depressive comorbidity in neurodegeneration presents signature aberrant resting-state fluctuations. Understanding these within- and between-network alterations may be useful for future diagnostic and therapeutic applications.

Disruptive resting state networks characterizing depressive comorbidity in Alzheimer's disease and mild cognitive impairment: https://journals.sagepub.com/doi/10.1177/13872877251337770