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  Temporal irreversibility of large-scale brain dynamics in Alzheimer's disease

Cruzat, J., Herzog, R., Prado, P., Sanz-Perl, Y., Gonzalez-Gomez, R., Moguilner, S., et al. (2023). Temporal irreversibility of large-scale brain dynamics in Alzheimer's disease. The Journal of Neuroscience, 43(9), 1643-1656. doi:10.1523/JNEUROSCI.1312-22.2022.

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Cruzat, Josephine1, 2, Author
Herzog, Ruben1, 2, Author
Prado, Pavel1, Author
Sanz-Perl, Yonatan3, 4, 5, 6, Author
Gonzalez-Gomez, Raul1, Author
Moguilner, Sebastian1, 7, Author
Kringelbach, Morten L.8, 9, 10, Author
Deco, Gustavo6, 11, 12, 13, 14, Author           
Tagliazucchi, Enzo1, 3, 4, 5, Author
Ibañez, Agustín1, 4, 5, 7, 15, Author
1Latin American Brain Health Institute (BrainLat), University Adolfo Ibañez, Santiago, Chile, ou_persistent22              
2Fundación para el Estudio de la Conciencia Humana (ECoH), Santiago, Chile, ou_persistent22              
3Department of Physics, University of Buenos Aires, Argentina, ou_persistent22              
4National Scientific and Technical Research Council (CONICET), University of Buenos Aires, Argentina, ou_persistent22              
5Cognitive Neuroscience Center (CNC), Universidad de San Andrés, Buenos Aires, Argentina, ou_persistent22              
6Computational Neuroscience Group, Department of Information and Communication Technologies, Center for Brain and Cognition, University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
7Global Brain Health Institute (GBHI), University of California, San Francisco, CA, USA, ou_persistent22              
8Department of Psychiatry, University of Oxford, United Kingdom, ou_persistent22              
9Center for Music in the Brain, Aarhus University, Germany, ou_persistent22              
10Centre for Eudaimonia and Human Flourishing, University of Oxford, United Kingdom, ou_persistent22              
11Department of Information and Communication Technologies, Center for Brain and Cognition, University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
12Catalan Institution for Research and Advanced Studies (ICREA), University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
13Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634551              
14School of Psychological Sciences, Monash University, Melbourne, Australia, ou_persistent22              
15Trinity College Dublin, Ireland, ou_persistent22              


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 Abstract: 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 towards 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 (HC). We quantified the level of irreversibility and, thus, proximity to non-equilibrium dynamics by comparing forward and backward timeseries 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 grey matter volume in HC. The irreversibility of brain dynamics provided higher accuracy and more distinctive information than classical neurocognitive measures when differentiating AD from controls. 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.


Language(s): eng - English
 Dates: 2022-12-122022-07-042022-12-252023-02-022023-03-01
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1523/JNEUROSCI.1312-22.2022
Other: epub 2023
PMID: 36732071
 Degree: -



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Project name : -
Grant ID : 945539
Funding program : -
Funding organization : Human Brain Project (HBP)
Project name : AWAKENING: Using Whole-Brain Models Perturbational Approaches for Predicting External Stimulation to Force Transitions between Different Brain States
Grant ID : PID2019-105772GB-I00/AEI/10.13039/501100011033
Funding program : -
Funding organization : Spanish Ministry of Science, Innovation, and Universities (MCIU) and State Research Agency (AEI)
Project name : This are just the project information about the MPI for Human Cognitive and Brain Sciences. More information available in the paper.
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Source 1

Title: The Journal of Neuroscience
  Other : The Journal of Neuroscience: the Official Journal of the Society for Neuroscience
  Abbreviation : J. Neurosci.
Source Genre: Journal
Publ. Info: Washington, DC : Society of Neuroscience
Pages: - Volume / Issue: 43 (9) Sequence Number: - Start / End Page: 1643 - 1656 Identifier: ISSN: 0270-6474
CoNE: https://pure.mpg.de/cone/journals/resource/954925502187_1