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

Francesca Miraglia, Fabrizio Vecchio, Paolo Maria Rossini

Research output: Contribution to journalArticle

40 Citations (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.
Original languageEnglish
Pages (from-to)292-300
Number of pages9
JournalBehavioural Brain Research
Volume317
DOIs
Publication statusPublished - 2017

Keywords

  • Behavioral Neuroscience
  • Connectome
  • EEG
  • Functional connectivity
  • Graph theory
  • Resting state networks

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