Cognitive adaptations for memory deficits in MCI and AD patients: A meta-analysis of EEG microstates.

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Authors: Timothy Piton, Una Smailović, Vesna Jelić, Thomas W. Koenig, Paul Gerson Unschuld, Lucie Bréchet
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Abstract

Aim EEG microstate analysis enables the exploration of the brain's neuronal network activity associated with distinct mental states and cognitive functions in neurodegenerative conditions, such as Alzheimer's disease (AD). Some studies indicated that AD and patients with mild cognitive impairments (MCI) show a reduced presence of microstate C, which is related to self-related memory functions and mind-wandering and involves brain areas of the default mode network (DMN). However, other studies reported an increased presence of microstate A, which is associated with auditory/language functions. Here, we aimed to systematically investigate alterations in the four canonical EEG microstates (A, B, C, and D) in MCI and AD patients compared to healthy older adults.Methods We performed a meta-analysis that compared microstate temporal parameters - mean duration, occurrence rate, and time coverage - among MCI and AD patients and healthy older adults. We included 12 experimental studies that examined resting-state, eyes-closed EEG microstate parameters in 1347 participants (448 MCI patients, 514 AD patients, and 385 healthy controls).Results We found thatAD patients showed increased duration and time coverage of microstate A and increased duration of microstate B, while the occurrence of microstates C and D was reduced. MCI patients also exhibited increased duration, occurrence, and time coverage of microstate A, while all three parameters of microstate D were reduced compared to healthy controls.Conclusion These results suggest that MCI and AD patients suffer from disruption in their cognitive control, memory, and self-referential processes. They may compensate for these deficits by verbalizing and visualizing their inner thoughts to maintain cognitive engagement.

Fields of Study & Subjects

Dementia and Cognitive Impairment Research Functional Brain Connectivity Studies Neural dynamics and brain function

Publication details

Journal / source
Open Access CRIS of the University of Bern
Publication date
1 January 2026
Language
EN