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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Autores principales:	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
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/8e72374eeb934490b4c40b36bd9fff45
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spelling	oai:doaj.org-article:8e72374eeb934490b4c40b36bd9fff452021-12-02T13:34:00ZAlterations in resting-state network dynamics along the Alzheimer’s disease continuum10.1038/s41598-020-76201-32045-2322https://doaj.org/article/8e72374eeb934490b4c40b36bd9fff452020-12-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-76201-3https://doaj.org/toc/2045-2322Abstract 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.D. PuttaertN. CoqueletV. WensP. PeigneuxP. FeryA. RovaiN. TrottaN. SadeghiT. CoolenJ.-C. BierS. GoldmanX. De TiègeNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-13 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q 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
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.
format	article
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
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 Portfolio
publishDate	2020
url	https://doaj.org/article/8e72374eeb934490b4c40b36bd9fff45
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Alterations in resting-state network dynamics along the Alzheimer’s disease continuum

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