Convergent Functional Changes of Default Mode Network in Mild Cognitive Impairment Using Activation Likelihood...

Area of Science:

• Neuroimaging
• Cognitive Neuroscience
• Neurology

Background:

• Mild cognitive impairment (MCI) is a precursor to dementia, particularly Alzheimer's disease (AD).
• Default mode network (DMN) disruption is a potential biomarker for MCI to AD progression.
• Understanding DMN changes in MCI is crucial for early detection and intervention.

Approach:

• Systematic literature search of PubMed, Ovid, and Web of Science.
• Meta-analysis of neuroimaging studies using ALFF/fALFF, ReHo, and FC in MCI patients.
• Activation Likelihood Estimation (ALE) algorithm for connectivity modeling and meta-analysis.

Key Points:

• Analysis of 39 functional neuroimaging studies.
• Identified DMN abnormalities in MCI patients within bilateral inferior frontal lobe, right medial frontal lobe, left inferior parietal lobe, bilateral precuneus, bilateral temporal lobe, and parahippocampal gyrus (PHG).
• Confirmed DMN-specific damage in MCI.

Conclusions:

• DMN alterations are confirmed in MCI, aiding in understanding MCI pathology.
• Findings provide insights into mechanisms of conversion from MCI to AD.
• Identified specific targets and directions for interventions aimed at delaying MCI to AD conversion.