Review

Functional and Effective EEG Connectivity Patterns in Alzheimer’s Functional and Effective EEG Connectivity Patterns in Alzheimer’s Disease and Mild Cognitive Impairment: A Systematic Review Disease and Mild Cognitive Impairment: A Systematic Review

E. Paitel C. Otteman Mary C. Polking Henry J. Licht K. A. Nielson Shaoyu Wang D. Castillo-Barnes K. Veluvolu

· 0 citations · 124 references

TL;DR

The overall prevalence of alpha effects may indicate its potential to provide insight into nuanced changes associated with AD-related networks, with the caveat that most studies were during the resting state where alpha is the dominant frequency.

Semantic Scholar

View source

Similar papers

Review Open access Sep 2026

Resting-state functional and spectral alterations underlying cognitive decline in biomarker-confirmed Alzheimer's disease: A systematic review.

Alzheimer's disease (AD) is characterized by progressive cognitive decline associated with synaptic and large-scale network dysfunction. Resting-state alterations may provide functional correlates of AD pathology, but associations among intrinsic brain activity, biomarkers, and domain-specific cognition have not been s...

Soraya Alfonsín, Brenda Chino, J. de Frutos-Lucas et al. · NeuroImage: Clinical · 0 citations

Open access Aug 2026

Target-level convergence of directional prefrontal connectivity across Alzheimer’s disease stages: an fNIRS study

It is suggested that MCI and AD are associated with distinct patterns of directional information flow within prefrontal networks, characterized by reduced convergence toward FPC-R and increased directional influence toward DLPFC-L.

N. Mateen, Rana Muhammad Kaleem Ullah, Jisoo Baik et al. · Frontiers in Aging Neuroscie... · 0 citations

Review Open access Aug 2026

Genetic associations with EEG signatures in mild cognitive impairment: insights into Alzheimer's disease pathophysiology

The mild cognitive impairment (MCI) continuum represents a critical stage in the Alzheimer's disease (AD), yet much of the genetic determinants underlying early neural dysfunction in AD remain unclear. Electroencephalography (EEG)-derived features as heritable markers of neuronal network activity may provide biological...

A. Siitonen, T. Saarinen, M. Liljestrom et al. · medRxiv · 0 citations

Open access Aug 2026

Spectral and Directed Connectivity EEG Markers for Classifying Alzheimer’s Disease, Frontotemporal Dementia, and Healthy Controls with Exploratory Photobiomodulation Case-Study Projection

Alzheimer’s disease (AD) and frontotemporal dementia (FTD) are neurodegenerative disorders with partially overlapping clinical manifestations, making early and differential diagnosis challenging. This study investigated whether electroencephalography (EEG)-derived spectral features and Granger-causality (GC)-based dire...

Z. Šverko, S. Vlahinić, M. Vrankić et al. · Italian National Conference... · 0 citations

Review Open access Sep 2026

Resting-State EEG Microstate Dynamics as Neurophysiological Biomarkers Across the Alzheimer’s Disease Continuum: A Systematic Review

Background/Objectives: Alzheimer’s disease (AD) is preceded by clinically defined syndromes of subjective cognitive decline (SCD) and mild cognitive impairment (MCI), which are etiologically heterogeneous and belong to the AD continuum only when amyloid and tau pathology is biologically confirmed. Electroencephalograph...

Chanda Simfukwe, Seong Soo A. An, Y. Youn · Diagnostics · 0 citations

Open access Sep 2026

EEG Functional Connectivity Reveals Accelerated Brain Aging in Young Adults with Cognitive Deficits and Mental Health Conditions

The discrepancy between chronological age and predicted brain age, derived from neuroimaging data, serves as a biomarker for neurological health. However, the exact electroencephalography (EEG) mechanisms contributing to the variation of brain age are yet to be understood. This paper comprehensively investigated the re...

C. Phang, Guo-Dong Miao, Lan-Tu Cai et al. · bioRxiv · 0 citations