ArticleGeroScience2025
Compensation versus deterioration across functional networks in amnestic mild cognitive impairment subtypes.
Article in GeroScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Boston NamingTest performance in mild cognitive impairment: a meta-analysis.BMC neurology · 2026Pooled it
- Rs-fMRI reveals that taVNS improves cognitive and emotional function in mild cognitive impairment by reconfiguration of "sensory relay-salience-default" cross-network effective connectivity: a randomized, double-blind, sham-controlled trial.Frontiers in neurology · 2026Trial
- Whole-Brain Static Functional Connectivity Disruptions Based on the Default Mode Network in Patients with Mild Cognitive Impairment.Brain topography · 2026Article
- Can Music Therapy Improve Cognition in Dementia as Measured with Magnetoencephalography: A Hypothesis Study.Biomedicines · 2026Article
- Plasma and neurostructural biomarkers in the clinical-biological characterization of early stages of the Alzheimer's disease continuum: findings from the Compostela Aging Study.The journal of prevention of Alzheimer's disease · 2026Article
- Altered brain-behavior coupling during inhibitory control in ankylosing spondylitis: ERP evidence from NoGo-P3 component.PloS one · 2026Article
- Subtype-Specific Brain Atrophy and White Matter Alterations in Mild Cognitive Impairment.Brain sciences · 2025Article
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5 authors.
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Abstract
Functional connectivity studies to detect neurophysiological correlates of amnestic mild cognitive impairment (aMCI), a prodromal stage of Alzheimer's disease, have generated contradictory results in terms of compensation and deterioration, as most of the studies did not distinguish between the different aMCI subtypes: single-domain aMCI (sd-aMCI) and multiple-domain aMCI (md-aMCI). The present study aimed to characterize the neurophysiological correlates of aMCI subtypes by using resting-state functional magnetic resonance imaging. The study included sd-aMCI (n = 29), md-aMCI (n = 26), and control (n = 30) participants. The data were subjected to independent component analysis (ICA) to explore the default mode network (DMN) and the fronto-parietal control network (FPCN). Additionally, seed-based and moderation analyses were conducted to investigate the connectivity of the medial temporal lobe and functional networks. aMCI subtypes presented differences in functional connectivity relative to the control group: sd-aMCI participants displayed increased FPCN connectivity and reduced connectivity between the posterior parahippocampal gyrus (PHG) and medial structures; md-aMCI participants exhibited lower FPCN connectivity, higher anterior PHG connectivity with frontal structures and lower posterior PHG connectivity with central-parietal and temporo-occipital areas. Additionally, md-aMCI participants showed higher posterior PHG connectivity with structures of the DMN than both control and sd-aMCI participants, potentially indicating more severe cognitive deficits. The results showed gradual and qualitative neurofunctional differences between the aMCI subgroups, suggesting the existence of compensatory (sd-aMCI) and deterioration (md-aMCI) mechanisms in functional networks, mainly originated in the DMN. The findings support consideration of the subgroups as different stages of MCI within the Alzheimer disease continuum.
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