Cortical connectivity and memory performance in cognitive decline: a study via graph theory from EEG data

Camillo Marra, Paolo Maria Rossini, F. Vecchio, F. Miraglia, G. Granata, R. Romanello, P. Bramanti

Risultato della ricerca: Contributo in rivistaArticolo in rivista

61 Citazioni (Scopus)

Abstract

Functional brain abnormalities including memory loss are found to be associated with pathological changes in connectivity and network neural structures. Alzheimer's Disease (AD) interferes with memory formation from the molecular level, to synaptic functions and neural networks organization. Here, we determined whether brain connectivity of resting state networks correlate with memory in patients affected by AD and in subjects with mild cognitive impairment (MCI). 144 subjects were recruited: 70 AD (MMSE Mini Mental State Evaluation 21.4), 50 MCI (MMSE 25.2) and 24 healthy subjects (MMSE 29.8). Undirected and weighted cortical brain network was built to evaluate graph core measures to obtain Small World parameters. eLORETA lagged linear connectivity as extracted by EEG signals was used to weight the network. A high statistical correlation between Small World and memory performance was found. Namely, higher Small World characteristic in EEG gamma frequency band during resting state, better performance in short term memory as evaluated by the digit span tests. Such Small World pattern might represent a biomarker of working memory impairment in older people both in physiological and pathological conditions.
Lingua originaleEnglish
pagine (da-a)N/A-N/A
RivistaNeuroscience
DOI
Stato di pubblicazionePubblicato - 2015

Keywords

  • Alpha band
  • Alzheimer
  • EEG
  • Functional connectivity
  • Graph theory
  • MCI
  • MRI
  • Memory
  • eLORETA

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