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
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.
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
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
The convergence of candidate genes on synaptic, neurodevelopmental and neuroinflammatory pathways, and genetically informed clustering linked to plasma p-tau217 and delayed verbal recall, supports the use of EEG-derived endophenotypes for dissecting heterogeneity in early cognitive decline and AD-related pathology.
A. Siitonen, T. Saarinen, M. Liljestrom et al.· medRxiv· 0 citations
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
Electroencephalography microstates, brief periods of quasi-stable large-scale neural synchrony, have emerged as candidate markers of resting-state network disruption and show graded group-level differences across clinically defined SCD, MCI, and AD dementia samples.
Chanda Simfukwe, Seong Soo A. An, Y. Youn· Diagnostics· 0 citations
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
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