Anomalous consistency in Mild Cognitive Impairment: A complex networks approach

Increased variability in performance has been associated with the emergence of several neurological and psychiatric pathologies. However, whether and how consistency of neuronal activity may also be indicative of an underlying pathology is still poorly understood. Here we propose a novel method for...

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Autores Principales: Martínez, J.H., Ariza, P., Zanin, M., Papo, D., Maestú, F., Pastor, J.M., Bajo, R., Boccaletti, S., Buldú, J.M.
Formato: Artículo (Article)
Lenguaje:Inglés (English)
Publicado: Elsevier Ltd 2015
Materias:
Acceso en línea:https://repository.urosario.edu.co/handle/10336/23648
https://doi.org/10.1016/j.chaos.2014.10.013
id ir-10336-23648
recordtype dspace
spelling ir-10336-236482022-05-02T12:37:21Z Anomalous consistency in Mild Cognitive Impairment: A complex networks approach Martínez, J.H. Ariza, P. Zanin, M. Papo, D. Maestú, F. Pastor, J.M. Bajo, R. Boccaletti, S. Buldú, J.M. Brain Brain mapping Heterogeneous networks Magnetoencephalography Pathology Topology Complex networks theories Functional activities Mild cognitive impairments Mild cognitive impairments (MCI) Network structures Neuronal activities Pathological conditions Topological properties Complex networks Increased variability in performance has been associated with the emergence of several neurological and psychiatric pathologies. However, whether and how consistency of neuronal activity may also be indicative of an underlying pathology is still poorly understood. Here we propose a novel method for evaluating consistency from non-invasive brain recordings. We evaluate the consistency of the cortical activity recorded with magnetoencephalography in a group of subjects diagnosed with Mild Cognitive Impairment (MCI), a condition sometimes prodromal of dementia, during the execution of a memory task. We use metrics coming from nonlinear dynamics to evaluate the consistency of cortical regions. A representation known as parenclitic networks is constructed, where atypical features are endowed with a network structure, the topological properties of which can be studied at various scales. Pathological conditions correspond to strongly heterogeneous networks, whereas typical or normative conditions are characterized by sparsely connected networks with homogeneous nodes. The analysis of this kind of networks allows identifying the extent to which consistency is affected in the MCI group and the focal points where MCI is especially severe. To the best of our knowledge, these results represent the first attempt at evaluating the consistency of brain functional activity using complex networks theory. © 2014 Elsevier Ltd. All rights reserved. 2015 2020-05-26T00:04:00Z info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 9600779 https://repository.urosario.edu.co/handle/10336/23648 https://doi.org/10.1016/j.chaos.2014.10.013 eng info:eu-repo/semantics/openAccess application/pdf Elsevier Ltd instname:Universidad del Rosario
institution EdocUR - Universidad del Rosario
collection DSpace
language Inglés (English)
topic Brain
Brain mapping
Heterogeneous networks
Magnetoencephalography
Pathology
Topology
Complex networks theories
Functional activities
Mild cognitive impairments
Mild cognitive impairments (MCI)
Network structures
Neuronal activities
Pathological conditions
Topological properties
Complex networks
spellingShingle Brain
Brain mapping
Heterogeneous networks
Magnetoencephalography
Pathology
Topology
Complex networks theories
Functional activities
Mild cognitive impairments
Mild cognitive impairments (MCI)
Network structures
Neuronal activities
Pathological conditions
Topological properties
Complex networks
Martínez, J.H.
Ariza, P.
Zanin, M.
Papo, D.
Maestú, F.
Pastor, J.M.
Bajo, R.
Boccaletti, S.
Buldú, J.M.
Anomalous consistency in Mild Cognitive Impairment: A complex networks approach
description Increased variability in performance has been associated with the emergence of several neurological and psychiatric pathologies. However, whether and how consistency of neuronal activity may also be indicative of an underlying pathology is still poorly understood. Here we propose a novel method for evaluating consistency from non-invasive brain recordings. We evaluate the consistency of the cortical activity recorded with magnetoencephalography in a group of subjects diagnosed with Mild Cognitive Impairment (MCI), a condition sometimes prodromal of dementia, during the execution of a memory task. We use metrics coming from nonlinear dynamics to evaluate the consistency of cortical regions. A representation known as parenclitic networks is constructed, where atypical features are endowed with a network structure, the topological properties of which can be studied at various scales. Pathological conditions correspond to strongly heterogeneous networks, whereas typical or normative conditions are characterized by sparsely connected networks with homogeneous nodes. The analysis of this kind of networks allows identifying the extent to which consistency is affected in the MCI group and the focal points where MCI is especially severe. To the best of our knowledge, these results represent the first attempt at evaluating the consistency of brain functional activity using complex networks theory. © 2014 Elsevier Ltd. All rights reserved.
format Artículo (Article)
author Martínez, J.H.
Ariza, P.
Zanin, M.
Papo, D.
Maestú, F.
Pastor, J.M.
Bajo, R.
Boccaletti, S.
Buldú, J.M.
author_facet Martínez, J.H.
Ariza, P.
Zanin, M.
Papo, D.
Maestú, F.
Pastor, J.M.
Bajo, R.
Boccaletti, S.
Buldú, J.M.
author_sort Martínez, J.H.
title Anomalous consistency in Mild Cognitive Impairment: A complex networks approach
title_short Anomalous consistency in Mild Cognitive Impairment: A complex networks approach
title_full Anomalous consistency in Mild Cognitive Impairment: A complex networks approach
title_fullStr Anomalous consistency in Mild Cognitive Impairment: A complex networks approach
title_full_unstemmed Anomalous consistency in Mild Cognitive Impairment: A complex networks approach
title_sort anomalous consistency in mild cognitive impairment: a complex networks approach
publisher Elsevier Ltd
publishDate 2015
url https://repository.urosario.edu.co/handle/10336/23648
https://doi.org/10.1016/j.chaos.2014.10.013
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score 12,131701