dc.creatorUniversidad San Sebastián
dc.creatorUniversidad San Sebastián
dc.creatorCruzat, Josephine
dc.creatorHerzog, Ruben
dc.creatorPrado, Pavel
dc.creatorSanz-Perl, Yonatan
dc.creatorGonzalez-Gomez, Raul
dc.creatorMoguilner, Sebastian
dc.creatorKringelbach, Morten L.
dc.creatorDeco, Gustavo
dc.creatorTagliazucchi, Enzo
dc.creatorIbañez, Agustín
dc.date.accessioned2023-05-31T22:00:04Z
dc.date.accessioned2023-09-25T13:04:39Z
dc.date.available2023-05-31T22:00:04Z
dc.date.available2023-09-25T13:04:39Z
dc.date.created2023-05-31T22:00:04Z
dc.date.issued2023-03-01
dc.identifier0270-6474
dc.identifierhttps://repositorio.uss.cl/handle/uss/8310
dc.identifier10.1523/JNEUROSCI.1312-22.2022
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8805498
dc.description.abstractHealthy brain dynamics can be understood as the emergence of a complex system far from thermodynamic equilibrium. Brain dynamics are temporally irreversible and thus establish a preferred direction in time (i.e., arrow of time). However, little is known about how the time-reversal symmetry of spontaneous brain activity is affected by Alzheimer's disease (AD). We hypothesized that the level of irreversibility would be compromised in AD, signaling a fundamental shift in the collective properties of brain activity toward equilibrium dynamics. We investigated the irreversibility from resting-state fMRI and EEG data in male and female human patients with AD and elderly healthy control subjects (HCs). We quantified the level of irreversibility and, thus, proximity to nonequilibrium dynamics by comparing forward and backward time series through time-shifted correlations. AD was associated with a breakdown of temporal irreversibility at the global, local, and network levels, and at multiple oscillatory frequency bands. At the local level, temporoparietal and frontal regions were affected by AD. The limbic, frontoparietal, default mode, and salience networks were the most compromised at the network level. The temporal reversibility was associated with cognitive decline in AD and gray matter volume in HCs. The irreversibility of brain dynamics provided higher accuracy and more distinctive information than classical neurocognitive measures when differentiating AD from control subjects. Findings were validated using an out-of-sample cohort. Present results offer new evidence regarding pathophysiological links between the entropy generation rate of brain dynamics and the clinical presentation of AD, opening new avenues for dementia characterization at different levels.
dc.languageeng
dc.relationJournal of Neuroscience
dc.titleTemporal Irreversibility of Large-Scale Brain Dynamics in Alzheimer's Disease
dc.typeArtículo


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