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Altered network stability in progressive supranuclear palsy.

Authors :
Whiteside, David J
Jones, P. Simon
Ghosh, Boyd C P
Coyle-Gilchrist, Ian
Gerhard, Alexander
Hu, Michele T.
Klein, Johannes C
Leigh, P. Nigel
Church, Alistair
Burn, David J
Morris, Huw R
Rowe, James B
Rittman, Timothy
Source :
Neurobiology of Aging. Nov2021, Vol. 107, p109-117. 9p.
Publication Year :
2021

Abstract

• We investigated network dynamics in the tauopathy progressive supranuclear palsy • Abnormal temporal properties of large-scale networks are related to phenotype • Progressive supranuclear palsy paradoxically increases frontoparietal state time • Reductions in neural signal complexity relate to altered network dynamics • Dynamic network and topological changes occur distally to primary sites of atrophy 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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01974580
Volume :
107
Database :
Academic Search Index
Journal :
Neurobiology of Aging
Publication Type :
Academic Journal
Accession number :
153496635
Full Text :
https://doi.org/10.1016/j.neurobiolaging.2021.07.007