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Directional information flow in patients with Alzheimer's disease. A source-space resting-state MEG study

In a recent magnetoencephalography (MEG) study, we found posterior-to-anterior information flow over the cortex in higher frequency bands in healthy subjects, with a reversed pattern in the theta band. A disruption of information flow may underlie clinical symptoms in Alzheimer's disease (AD)....

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Autores principales: Engels, M.M.A., Yu, M., Stam, C.J., Gouw, A.A., van der Flier, W.M., Scheltens, Ph., van Straaten, E.C.W., Hillebrand, A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5486371/
https://www.ncbi.nlm.nih.gov/pubmed/28702344
http://dx.doi.org/10.1016/j.nicl.2017.06.025
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author Engels, M.M.A.
Yu, M.
Stam, C.J.
Gouw, A.A.
van der Flier, W.M.
Scheltens, Ph.
van Straaten, E.C.W.
Hillebrand, A.
author_facet Engels, M.M.A.
Yu, M.
Stam, C.J.
Gouw, A.A.
van der Flier, W.M.
Scheltens, Ph.
van Straaten, E.C.W.
Hillebrand, A.
author_sort Engels, M.M.A.
collection PubMed
description In a recent magnetoencephalography (MEG) study, we found posterior-to-anterior information flow over the cortex in higher frequency bands in healthy subjects, with a reversed pattern in the theta band. A disruption of information flow may underlie clinical symptoms in Alzheimer's disease (AD). In AD, highly connected regions (hubs) in posterior areas are mostly disrupted. We therefore hypothesized that in AD the information flow from these hub regions would be disturbed. We used resting-state MEG recordings from 27 early-onset AD patients and 26 healthy controls. Using beamformer-based virtual electrodes, we estimated neuronal oscillatory activity for 78 cortical regions of interest (ROIs) and 12 subcortical ROIs of the AAL atlas, and calculated the directed phase transfer entropy (dPTE) as a measure of information flow between these ROIs. Group differences were evaluated using permutation tests and, for the AD group, associations between dPTE and general cognition or CSF biomarkers were determined using Spearman correlation coefficients. We confirmed the previously reported posterior-to-anterior information flow in the higher frequency bands in the healthy controls, and found it to be disturbed in the beta band in AD. Most prominently, the information flow from the precuneus and the visual cortex, towards frontal and subcortical structures, was decreased in AD. These disruptions did not correlate with cognitive impairment or CSF biomarkers. We conclude that AD pathology may affect the flow of information between brain regions, particularly from posterior hub regions, and that changes in the information flow in the beta band indicate an aspect of the pathophysiological process in AD.
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spelling pubmed-54863712017-07-12 Directional information flow in patients with Alzheimer's disease. A source-space resting-state MEG study Engels, M.M.A. Yu, M. Stam, C.J. Gouw, A.A. van der Flier, W.M. Scheltens, Ph. van Straaten, E.C.W. Hillebrand, A. Neuroimage Clin Regular Article In a recent magnetoencephalography (MEG) study, we found posterior-to-anterior information flow over the cortex in higher frequency bands in healthy subjects, with a reversed pattern in the theta band. A disruption of information flow may underlie clinical symptoms in Alzheimer's disease (AD). In AD, highly connected regions (hubs) in posterior areas are mostly disrupted. We therefore hypothesized that in AD the information flow from these hub regions would be disturbed. We used resting-state MEG recordings from 27 early-onset AD patients and 26 healthy controls. Using beamformer-based virtual electrodes, we estimated neuronal oscillatory activity for 78 cortical regions of interest (ROIs) and 12 subcortical ROIs of the AAL atlas, and calculated the directed phase transfer entropy (dPTE) as a measure of information flow between these ROIs. Group differences were evaluated using permutation tests and, for the AD group, associations between dPTE and general cognition or CSF biomarkers were determined using Spearman correlation coefficients. We confirmed the previously reported posterior-to-anterior information flow in the higher frequency bands in the healthy controls, and found it to be disturbed in the beta band in AD. Most prominently, the information flow from the precuneus and the visual cortex, towards frontal and subcortical structures, was decreased in AD. These disruptions did not correlate with cognitive impairment or CSF biomarkers. We conclude that AD pathology may affect the flow of information between brain regions, particularly from posterior hub regions, and that changes in the information flow in the beta band indicate an aspect of the pathophysiological process in AD. Elsevier 2017-06-17 /pmc/articles/PMC5486371/ /pubmed/28702344 http://dx.doi.org/10.1016/j.nicl.2017.06.025 Text en © 2017 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Regular Article
Engels, M.M.A.
Yu, M.
Stam, C.J.
Gouw, A.A.
van der Flier, W.M.
Scheltens, Ph.
van Straaten, E.C.W.
Hillebrand, A.
Directional information flow in patients with Alzheimer's disease. A source-space resting-state MEG study
title Directional information flow in patients with Alzheimer's disease. A source-space resting-state MEG study
title_full Directional information flow in patients with Alzheimer's disease. A source-space resting-state MEG study
title_fullStr Directional information flow in patients with Alzheimer's disease. A source-space resting-state MEG study
title_full_unstemmed Directional information flow in patients with Alzheimer's disease. A source-space resting-state MEG study
title_short Directional information flow in patients with Alzheimer's disease. A source-space resting-state MEG study
title_sort directional information flow in patients with alzheimer's disease. a source-space resting-state meg study
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5486371/
https://www.ncbi.nlm.nih.gov/pubmed/28702344
http://dx.doi.org/10.1016/j.nicl.2017.06.025
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