Searching for signs of aging and dementia in EEG through network analysis

Francesca Miraglia; Fabrizio Vecchio; Paolo Maria Rossini

doi:10.1016/j.bbr.2016.09.057

Searching for signs of aging and dementia in EEG through network analysis

Francesca Miraglia, Fabrizio Vecchio, Paolo Maria Rossini

Università Cattolica del Sacro Cuore

Risultato della ricerca: Contributo in rivista › Articolo in rivista

40 Citazioni (Scopus)

Abstract

Graph theory applications had spread widely in understanding how human cognitive functions are linked to dynamics of neuronal network structure, providing a conceptual frame that can reduce the analytical brain complexity. This review summarizes methodological advances in this field. Electroencephalographic functional network studies in pathophysiological aging will be presented, focusing on neurodegenerative disease −such Alzheimer's disease-aiming to discuss whether network science is changing the traditional concept of brain disease and how network topology knowledge could help in modeling resilience and vulnerability of diseases. Aim of this work is to open discussion on how network model could better describe brain architecture.

Lingua originale	English
pagine (da-a)	292-300
Numero di pagine	9
Rivista	Behavioural Brain Research
Volume	317
DOI	https://doi.org/10.1016/j.bbr.2016.09.057
Stato di pubblicazione	Pubblicato - 2017

Keywords

Behavioral Neuroscience
Connectome
EEG
Functional connectivity
Graph theory
Resting state networks

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KW - Functional connectivity

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Searching for signs of aging and dementia in EEG through network analysis

Abstract

Keywords

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