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

Ahmadlou, Mehran; Adeli, Anahita; Bajo Breton, Ricardo y 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.

Descripción

Título: Complexity of functional connectivity networks in mild cognitive impairment subjects during a working memory task
Autor/es:
  • Ahmadlou, Mehran
  • Adeli, Anahita
  • Bajo Breton, Ricardo
  • Adeli, Hojjat
Tipo de Documento: Artículo
Título de Revista/Publicación: Clinical Neurophysiology
Fecha: 7 Enero 2014
Materias:
Palabras Clave Informales: Complexity of functional connectivity, networks, Efficiency Complexity, Graph Index Complexity, Magneto encephalography, Mild cognitive impairment, Working memory
Escuela: Centro de Tecnología Biomédica (CTB) (UPM)
Departamento: Tecnología Fotónica y Bioingeniería
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

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

Más información

ID de Registro: 38800
Identificador DC: http://oa.upm.es/38800/
Identificador OAI: oai:oa.upm.es:38800
Identificador DOI: 10.1016/j.clinph.2013.08.033
URL Oficial: https://www.ncbi.nlm.nih.gov/pubmed/24405905
Depositado por: Memoria Investigacion
Depositado el: 25 Abr 2017 15:54
Ultima Modificación: 25 Abr 2017 15:54
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