Alterations in resting-state network dynamics along the Alzheimer’s disease continuum

Abstract Human brain activity is intrinsically organized into resting-state networks (RSNs) that transiently activate or deactivate at the sub-second timescale. Few neuroimaging studies have addressed how Alzheimer's disease (AD) affects these fast temporal brain dynamics, and how they relate t...

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Main Authors: D. Puttaert, N. Coquelet, V. Wens, P. Peigneux, P. Fery, A. Rovai, N. Trotta, N. Sadeghi, T. Coolen, J.-C. Bier, S. Goldman, X. De Tiège
Format: Article
Language:English
Published: Nature Publishing Group 2020-12-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-020-76201-3
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spelling doaj-8e72374eeb934490b4c40b36bd9fff452020-12-20T12:32:25ZengNature Publishing GroupScientific Reports2045-23222020-12-0110111310.1038/s41598-020-76201-3Alterations in resting-state network dynamics along the Alzheimer’s disease continuumD. Puttaert0N. Coquelet1V. Wens2P. Peigneux3P. Fery4A. Rovai5N. Trotta6N. Sadeghi7T. Coolen8J.-C. Bier9S. Goldman10X. De Tiège11Laboratoire de Cartographie fonctionnelle du Cerveau (LCFC), UNI-ULB Neuroscience Institute, Université libre de Bruxelles (ULB)Laboratoire de Cartographie fonctionnelle du Cerveau (LCFC), UNI-ULB Neuroscience Institute, Université libre de Bruxelles (ULB)Laboratoire de Cartographie fonctionnelle du Cerveau (LCFC), UNI-ULB Neuroscience Institute, Université libre de Bruxelles (ULB)Neuropsychology and Functional Neuroimaging Research Unit (UR2NF), Center for Research in Cognition and Neurosciences (CRCN), UNI-ULB Neuroscience Institute, Université libre de Bruxelles (ULB)Neuropsychology and Functional Neuroimaging Research Unit (UR2NF), Center for Research in Cognition and Neurosciences (CRCN), UNI-ULB Neuroscience Institute, Université libre de Bruxelles (ULB)Laboratoire de Cartographie fonctionnelle du Cerveau (LCFC), UNI-ULB Neuroscience Institute, Université libre de Bruxelles (ULB)Laboratoire de Cartographie fonctionnelle du Cerveau (LCFC), UNI-ULB Neuroscience Institute, Université libre de Bruxelles (ULB)Department of Radiology, CUB Hôpital Erasme, Université libre de Bruxelles (ULB)Department of Radiology, CUB Hôpital Erasme, Université libre de Bruxelles (ULB)Department of Neurology, CUB Hôpital Erasme, Université libre de Bruxelles (ULB)Laboratoire de Cartographie fonctionnelle du Cerveau (LCFC), UNI-ULB Neuroscience Institute, Université libre de Bruxelles (ULB)Laboratoire de Cartographie fonctionnelle du Cerveau (LCFC), UNI-ULB Neuroscience Institute, Université libre de Bruxelles (ULB)Abstract Human brain activity is intrinsically organized into resting-state networks (RSNs) that transiently activate or deactivate at the sub-second timescale. Few neuroimaging studies have addressed how Alzheimer's disease (AD) affects these fast temporal brain dynamics, and how they relate to the cognitive, structural and metabolic abnormalities characterizing AD. We aimed at closing this gap by investigating both brain structure and function using magnetoencephalography (MEG) and hybrid positron emission tomography-magnetic resonance (PET/MR) in 10 healthy elders, 10 patients with subjective cognitive decline (SCD), 10 patients with amnestic mild cognitive impairment (aMCI) and 10 patients with typical Alzheimer’s disease with dementia (AD). The fast activation/deactivation state dynamics of RSNs were assessed using hidden Markov modeling (HMM) of power envelope fluctuations at rest measured with MEG. Correlations were sought between temporal properties of HMM states and participants' cognitive test scores, whole hippocampal grey matter volume and regional brain glucose metabolism. The posterior default-mode network (DMN) was less often activated and for shorter durations in AD patients than matched healthy elders. No significant difference was found in patients with SCD or aMCI. The time spent by participants in the activated posterior DMN state did not correlate significantly with cognitive scores, nor with the whole hippocampal volume. However, it correlated positively with the regional glucose consumption in the right dorsolateral prefrontal cortex (DLPFC). AD patients present alterations of posterior DMN power activation dynamics at rest that identify an additional electrophysiological correlate of AD-related synaptic and neural dysfunction. The right DLPFC may play a causal role in the activation of the posterior DMN, possibly linked to the occurrence of mind wandering episodes. As such, these data might suggest a neural correlate of the decrease in mind wandering episodes reported in pathological aging.https://doi.org/10.1038/s41598-020-76201-3
collection DOAJ
language English
format Article
sources DOAJ
author D. Puttaert
N. Coquelet
V. Wens
P. Peigneux
P. Fery
A. Rovai
N. Trotta
N. Sadeghi
T. Coolen
J.-C. Bier
S. Goldman
X. De Tiège
spellingShingle D. Puttaert
N. Coquelet
V. Wens
P. Peigneux
P. Fery
A. Rovai
N. Trotta
N. Sadeghi
T. Coolen
J.-C. Bier
S. Goldman
X. De Tiège
Alterations in resting-state network dynamics along the Alzheimer’s disease continuum
Scientific Reports
author_facet D. Puttaert
N. Coquelet
V. Wens
P. Peigneux
P. Fery
A. Rovai
N. Trotta
N. Sadeghi
T. Coolen
J.-C. Bier
S. Goldman
X. De Tiège
author_sort D. Puttaert
title Alterations in resting-state network dynamics along the Alzheimer’s disease continuum
title_short Alterations in resting-state network dynamics along the Alzheimer’s disease continuum
title_full Alterations in resting-state network dynamics along the Alzheimer’s disease continuum
title_fullStr Alterations in resting-state network dynamics along the Alzheimer’s disease continuum
title_full_unstemmed Alterations in resting-state network dynamics along the Alzheimer’s disease continuum
title_sort alterations in resting-state network dynamics along the alzheimer’s disease continuum
publisher Nature Publishing Group
series Scientific Reports
issn 2045-2322
publishDate 2020-12-01
description Abstract Human brain activity is intrinsically organized into resting-state networks (RSNs) that transiently activate or deactivate at the sub-second timescale. Few neuroimaging studies have addressed how Alzheimer's disease (AD) affects these fast temporal brain dynamics, and how they relate to the cognitive, structural and metabolic abnormalities characterizing AD. We aimed at closing this gap by investigating both brain structure and function using magnetoencephalography (MEG) and hybrid positron emission tomography-magnetic resonance (PET/MR) in 10 healthy elders, 10 patients with subjective cognitive decline (SCD), 10 patients with amnestic mild cognitive impairment (aMCI) and 10 patients with typical Alzheimer’s disease with dementia (AD). The fast activation/deactivation state dynamics of RSNs were assessed using hidden Markov modeling (HMM) of power envelope fluctuations at rest measured with MEG. Correlations were sought between temporal properties of HMM states and participants' cognitive test scores, whole hippocampal grey matter volume and regional brain glucose metabolism. The posterior default-mode network (DMN) was less often activated and for shorter durations in AD patients than matched healthy elders. No significant difference was found in patients with SCD or aMCI. The time spent by participants in the activated posterior DMN state did not correlate significantly with cognitive scores, nor with the whole hippocampal volume. However, it correlated positively with the regional glucose consumption in the right dorsolateral prefrontal cortex (DLPFC). AD patients present alterations of posterior DMN power activation dynamics at rest that identify an additional electrophysiological correlate of AD-related synaptic and neural dysfunction. The right DLPFC may play a causal role in the activation of the posterior DMN, possibly linked to the occurrence of mind wandering episodes. As such, these data might suggest a neural correlate of the decrease in mind wandering episodes reported in pathological aging.
url https://doi.org/10.1038/s41598-020-76201-3
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