Altered network stability in progressive supranuclear palsy.
Complexity
Hidden Markov models
Network dynamics
Progressive supranuclear palsy
Journal
Neurobiology of aging
ISSN: 1558-1497
Titre abrégé: Neurobiol Aging
Pays: United States
ID NLM: 8100437
Informations de publication
Date de publication:
11 2021
11 2021
Historique:
received:
26
12
2020
revised:
15
06
2021
accepted:
08
07
2021
pubmed:
23
8
2021
medline:
27
1
2022
entrez:
22
8
2021
Statut:
ppublish
Résumé
The clinical syndromes of Progressive Supranuclear Palsy (PSP) may be mediated by abnormal temporal dynamics of brain networks, due to the impact of atrophy, synapse loss and neurotransmitter deficits. We tested the hypothesis that alterations in signal complexity in neural networks influence short-latency state transitions. Ninety-four participants with PSP and 64 healthy controls were recruited from two independent cohorts. All participants underwent clinical and neuropsychological testing and resting-state functional MRI. Network dynamics were assessed using hidden Markov models and neural signal complexity measured in terms of multiscale entropy. In both cohorts, PSP increased the proportion of time in networks associated with higher cognitive functions. This effect correlated with clinical severity as measured by the PSP-rating-scale, and with reduced neural signal complexity. Regional atrophy influenced abnormal brain-state occupancy, but abnormal network topology and dynamics were not restricted to areas of atrophy. Our findings show that the pathology of PSP causes clinically relevant changes in neural temporal dynamics, leading to a greater proportion of time in inefficient brain-states.
Identifiants
pubmed: 34419788
pii: S0197-4580(21)00231-1
doi: 10.1016/j.neurobiolaging.2021.07.007
pmc: PMC8599965
pii:
doi:
Substances chimiques
Neurotransmitter Agents
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
109-117Subventions
Organisme : Medical Research Council
ID : G1100464
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 220258
Pays : United Kingdom
Informations de copyright
Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved.
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