Literature DB >> 31957512

Small World Index in Default Mode Network Predicts Progression from Mild Cognitive Impairment to Dementia.

Francesca Miraglia1,2, Fabrizio Vecchio1, Camillo Marra3, Davide Quaranta3, Francesca Alù1, Benedetta Peroni4, Giuseppe Granata5, Elda Judica6, Maria Cotelli7, Paolo Maria Rossini8.   

Abstract

Aim of this study was to explore the EEG functional connectivity in amnesic mild cognitive impairments (MCI) subjects with multidomain impairment in order to characterize the Default Mode Network (DMN) in converted MCI (cMCI), which converted to Alzheimer's disease (AD), compared to stable MCI (sMCI) subjects. A total of 59 MCI subjects were recruited and divided -after appropriate follow-up- into cMCI or sMCI. They were further divided in MCI with linguistic domain (LD) impairment and in MCI with executive domain (ED) impairment. Small World (SW) index was measured as index of balance between integration and segregation brain processes. SW, computed restricting to nodes of DMN regions for all frequency bands, evaluated how they differ between MCI subgroups assessed through clinical and neuropsychological four-years follow-up. In addition, SW evaluated how this pattern differs between MCI with LD and MCI with ED. Results showed that SW index significantly decreased in gamma band in cMCI compared to sMCI. In cMCI with LD impairment, the SW index significantly decreased in delta band, while in cMCI with ED impairment the SW index decreased in delta and gamma bands and increased in alpha1 band. We propose that the DMN functional alterations in cognitive impairment could reflect an abnormal flow of brain information processing during resting state possibly associated to a status of pre-dementia.

Entities:  

Keywords:  Alzheimer’s disease; EEG; default mode network; dementia; graph theory; mild cognitive impairment; neuropsychological test

Year:  2020        PMID: 31957512     DOI: 10.1142/S0129065720500045

Source DB:  PubMed          Journal:  Int J Neural Syst        ISSN: 0129-0657            Impact factor:   5.866


  7 in total

1.  Human brain networks: a graph theoretical analysis of cortical connectivity normative database from EEG data in healthy elderly subjects.

Authors:  Fabrizio Vecchio; Francesca Miraglia; Elda Judica; Maria Cotelli; Francesca Alù; Paolo Maria Rossini
Journal:  Geroscience       Date:  2020-03-13       Impact factor: 7.713

2.  Neuronavigated Magnetic Stimulation combined with cognitive training for Alzheimer's patients: an EEG graph study.

Authors:  Fabrizio Vecchio; Davide Quaranta; Francesca Miraglia; Chiara Pappalettera; Riccardo Di Iorio; Federica L'Abbate; Maria Cotelli; Camillo Marra; Paolo Maria Rossini
Journal:  Geroscience       Date:  2021-12-31       Impact factor: 7.713

3.  Performance prediction in a visuo-motor task: the contribution of EEG analysis.

Authors:  Fabrizio Vecchio; Francesca Alù; Alessandro Orticoni; Francesca Miraglia; Elda Judica; Maria Cotelli; Paolo Maria Rossini
Journal:  Cogn Neurodyn       Date:  2021-09-11       Impact factor: 5.082

4.  Analysis of complexity in the EEG activity of Parkinson's disease patients by means of approximate entropy.

Authors:  Chiara Pappalettera; Francesca Miraglia; Maria Cotelli; Paolo Maria Rossini; Fabrizio Vecchio
Journal:  Geroscience       Date:  2022-03-28       Impact factor: 7.581

5.  Comparative analysis of default mode networks in major psychiatric disorders using resting-state EEG.

Authors:  Kang-Min Choi; Jeong-Youn Kim; Yong-Wook Kim; Jung-Won Han; Chang-Hwan Im; Seung-Hwan Lee
Journal:  Sci Rep       Date:  2021-11-10       Impact factor: 4.379

6.  Progressive cortical and sub-cortical alterations in patients with anti-N-methyl-D-aspartate receptor encephalitis.

Authors:  Jinping Xu; Yuanyuan Guo; Jiaying Li; Xinyi Lv; Juanjuan Zhang; Jinhuan Zhang; Qingmao Hu; Kai Wang; Yanghua Tian
Journal:  J Neurol       Date:  2021-07-23       Impact factor: 4.849

Review 7.  Brain Connectivity and Graph Theory Analysis in Alzheimer's and Parkinson's Disease: The Contribution of Electrophysiological Techniques.

Authors:  Francesca Miraglia; Fabrizio Vecchio; Chiara Pappalettera; Lorenzo Nucci; Maria Cotelli; Elda Judica; Florinda Ferreri; Paolo Maria Rossini
Journal:  Brain Sci       Date:  2022-03-18
  7 in total

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