Complexity of functional connectivity networks in mild cognitive impairment subjects during a working memory task

Ahmadlou, Mehran and Adeli, Anahita and Bajo Breton, Ricardo and Adeli, Hojjat (2014). Complexity of functional connectivity networks in mild cognitive impairment subjects during a working memory task. "Clinical Neurophysiology" (n. 125); pp. 694-702. ISSN 1388-2457. https://doi.org/10.1016/j.clinph.2013.08.033.

Description

Title: Complexity of functional connectivity networks in mild cognitive impairment subjects during a working memory task
Author/s:
  • Ahmadlou, Mehran
  • Adeli, Anahita
  • Bajo Breton, Ricardo
  • Adeli, Hojjat
Item Type: Article
Título de Revista/Publicación: Clinical Neurophysiology
Date: 7 January 2014
ISSN: 1388-2457
Subjects:
Freetext Keywords: Complexity of functional connectivity, networks, Efficiency Complexity, Graph Index Complexity, Magneto encephalography, Mild cognitive impairment, Working memory
Faculty: Centro de Tecnología Biomédica (CTB) (UPM)
Department: Tecnología Fotónica y Bioingeniería
Creative Commons Licenses: Recognition - No derivative works - Non commercial

Full text

[img]
Preview
PDF - Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (5MB) | Preview

Abstract

Objectives: The objective is to study the changes of brain activity in patients with mild cognitive impairment (MCI). Using magneto-encephalogram (MEG) signals, the authors investigate differences of complexity of functional connectivity network between MCI and normal elderly subjects during a working memory task. Methods: MEGs are obtained from 18 right handed patients with MCI and 19 age-matched elderly participants without cognitive impairment used as the control group. The brain networks’ complexities are measured by Graph Index Complexity (Cr) and Efficiency Complexity (Ce). Results: The results obtained by both measurements show complexity of functional networks involved in the working memory function in MCI subjects is reduced at alpha and theta bands compared with subjects with control subjects, and at the theta band this reduction is more pronounced in the whole brain and intra left hemisphere. Conclusions: Ce would be a better measurement for showing the global differences between normal and MCI brains compared with Cr. Significance: The high accuracy of the classification shows Ce at theta band can be used as an index for assessing deficits associated with working memory, a good biomarker for diagnosis of MCI

More information

Item ID: 38800
DC Identifier: http://oa.upm.es/38800/
OAI Identifier: oai:oa.upm.es:38800
DOI: 10.1016/j.clinph.2013.08.033
Official URL: https://www.ncbi.nlm.nih.gov/pubmed/24405905
Deposited by: Memoria Investigacion
Deposited on: 25 Apr 2017 15:54
Last Modified: 25 Apr 2017 15:54
  • Logo InvestigaM (UPM)
  • Logo GEOUP4
  • Logo Open Access
  • Open Access
  • Logo Sherpa/Romeo
    Check whether the anglo-saxon journal in which you have published an article allows you to also publish it under open access.
  • Logo Dulcinea
    Check whether the spanish journal in which you have published an article allows you to also publish it under open access.
  • Logo de Recolecta
  • Logo del Observatorio I+D+i UPM
  • Logo de OpenCourseWare UPM