Alzheimer's disease: The state of the art in resting-state magnetoencephalography

Research output: Contribution to journalReview articleAcademicpeer-review

Abstract

Alzheimer's disease (AD) is accompanied by functional brain changes that can be detected in imaging studies, including electromagnetic activity recorded with magnetoencephalography (MEG). Here, we systematically review the studies that have examined resting-state MEG changes in AD and identify areas that lack scientific or clinical progress. Three levels of MEG analysis will be covered: (i) single-channel signal analysis, (ii) pairwise analyses over time series, which includes the study of interdependencies between two time series and (iii) global network analyses. We discuss the findings in the light of other functional modalities, such as electroencephalography (EEG) and functional magnetic resonance imaging (fMRI). Overall, single-channel MEG results show consistent changes in AD that are in line with EEG studies, but the full potential of the high spatial resolution of MEG and advanced functional connectivity and network analysis has yet to be fully exploited. Adding these features to the current knowledge will potentially aid in uncovering organizational patterns of brain function in AD and thereby aid the understanding of neuronal mechanisms leading to cognitive deficits.

Original languageEnglish
Pages (from-to)1426-1437
Number of pages12
JournalClinical Neurophysiology
Volume128
Issue number8
DOIs
Publication statusPublished - 1 Aug 2017

Cite this

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title = "Alzheimer's disease: The state of the art in resting-state magnetoencephalography",
abstract = "Alzheimer's disease (AD) is accompanied by functional brain changes that can be detected in imaging studies, including electromagnetic activity recorded with magnetoencephalography (MEG). Here, we systematically review the studies that have examined resting-state MEG changes in AD and identify areas that lack scientific or clinical progress. Three levels of MEG analysis will be covered: (i) single-channel signal analysis, (ii) pairwise analyses over time series, which includes the study of interdependencies between two time series and (iii) global network analyses. We discuss the findings in the light of other functional modalities, such as electroencephalography (EEG) and functional magnetic resonance imaging (fMRI). Overall, single-channel MEG results show consistent changes in AD that are in line with EEG studies, but the full potential of the high spatial resolution of MEG and advanced functional connectivity and network analysis has yet to be fully exploited. Adding these features to the current knowledge will potentially aid in uncovering organizational patterns of brain function in AD and thereby aid the understanding of neuronal mechanisms leading to cognitive deficits.",
keywords = "Alzheimer's disease, Brain networks, Brain oscillations, Frequency analysis, Functional connectivity, MEG, magnetoencephalography, Nonlinear analysis, Resting-state",
author = "Engels, {M. M.A.} and {van der Flier}, {W. M.} and Stam, {C. J.} and A. Hillebrand and Ph Scheltens and {van Straaten}, {E. C.W.}",
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language = "English",
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Alzheimer's disease : The state of the art in resting-state magnetoencephalography. / Engels, M. M.A.; van der Flier, W. M.; Stam, C. J.; Hillebrand, A.; Scheltens, Ph; van Straaten, E. C.W.

In: Clinical Neurophysiology, Vol. 128, No. 8, 01.08.2017, p. 1426-1437.

Research output: Contribution to journalReview articleAcademicpeer-review

TY - JOUR

T1 - Alzheimer's disease

T2 - The state of the art in resting-state magnetoencephalography

AU - Engels, M. M.A.

AU - van der Flier, W. M.

AU - Stam, C. J.

AU - Hillebrand, A.

AU - Scheltens, Ph

AU - van Straaten, E. C.W.

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N2 - Alzheimer's disease (AD) is accompanied by functional brain changes that can be detected in imaging studies, including electromagnetic activity recorded with magnetoencephalography (MEG). Here, we systematically review the studies that have examined resting-state MEG changes in AD and identify areas that lack scientific or clinical progress. Three levels of MEG analysis will be covered: (i) single-channel signal analysis, (ii) pairwise analyses over time series, which includes the study of interdependencies between two time series and (iii) global network analyses. We discuss the findings in the light of other functional modalities, such as electroencephalography (EEG) and functional magnetic resonance imaging (fMRI). Overall, single-channel MEG results show consistent changes in AD that are in line with EEG studies, but the full potential of the high spatial resolution of MEG and advanced functional connectivity and network analysis has yet to be fully exploited. Adding these features to the current knowledge will potentially aid in uncovering organizational patterns of brain function in AD and thereby aid the understanding of neuronal mechanisms leading to cognitive deficits.

AB - Alzheimer's disease (AD) is accompanied by functional brain changes that can be detected in imaging studies, including electromagnetic activity recorded with magnetoencephalography (MEG). Here, we systematically review the studies that have examined resting-state MEG changes in AD and identify areas that lack scientific or clinical progress. Three levels of MEG analysis will be covered: (i) single-channel signal analysis, (ii) pairwise analyses over time series, which includes the study of interdependencies between two time series and (iii) global network analyses. We discuss the findings in the light of other functional modalities, such as electroencephalography (EEG) and functional magnetic resonance imaging (fMRI). Overall, single-channel MEG results show consistent changes in AD that are in line with EEG studies, but the full potential of the high spatial resolution of MEG and advanced functional connectivity and network analysis has yet to be fully exploited. Adding these features to the current knowledge will potentially aid in uncovering organizational patterns of brain function in AD and thereby aid the understanding of neuronal mechanisms leading to cognitive deficits.

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KW - Frequency analysis

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