Altered network stability in progressive supranuclear palsy

[摘要] The clinical syndromes of Progressive Supranuclear Palsy (PSP) may be mediated by abnormal tem-poral 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 neu-ral signal complexity measured in terms of multiscale entropy. In both cohorts, PSP increased the pro-portion 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. Re-gional atrophy influenced abnormal brain-state occupancy, but abnormal network topology and dynam-ics were not restricted to areas of atrophy. Our findings show that the pathology of PSP causes clini-cally relevant changes in neural temporal dynamics, leading to a greater proportion of time in inefficient brain-states. (c) 2021 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ )

[发布日期] 2021-11-01

[关键词] Progressive supranuclear palsy;Network dynamics;Hidden Markov models;Complexity