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Artículo

Temporal Irreversibility of Large-Scale Brain Dynamics in Alzheimer's Disease

Cruzat, Josephine; Herzog, Ruben; Prado, Pavel; Sanz Perl Hernandez, YonatanIcon ; Gonzalez Gomez, Raul; Moguilner, Sebastian Gabriel; Kringelbach, Morten L.; Deco, Gustavo; Tagliazucchi, Enzo RodolfoIcon ; Ibañez, Agustín
Fecha de publicación: 03/2023
Editorial: Society for Neuroscience
Revista: Journal of Neuroscience
ISSN: 0270-6474
e-ISSN: 1529-2401
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Otras Ciencias Físicas

Resumen

Healthy 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.
Palabras clave: ALZHEIMER'S DISEASE , DYNAMIC NETWORKS , EEG , FMRI , IRREVERSIBILITY DYNAMICS , MACHINE LEARNING
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info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/228444
DOI: http://dx.doi.org/10.1523/JNEUROSCI.1312-22.2022
URL: https://www.jneurosci.org/content/43/9/1643
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Articulos(INFINA)
Articulos de INST.DE FISICA DEL PLASMA
Citación
Cruzat, Josephine; Herzog, Ruben; Prado, Pavel; Sanz Perl Hernandez, Yonatan; Gonzalez Gomez, Raul; et al.; Temporal Irreversibility of Large-Scale Brain Dynamics in Alzheimer's Disease; Society for Neuroscience; Journal of Neuroscience; 43; 9; 3-2023; 1643-1656
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