The Menstrual Cycle Modulates Whole-Brain Turbulent Dynamics.

brain information processing menstrual cycle resting-state fMRI turbulence whole-brain dynamics

Journal

Frontiers in neuroscience
ISSN: 1662-4548
Titre abrégé: Front Neurosci
Pays: Switzerland
ID NLM: 101478481

Informations de publication

Date de publication:
2021
Historique:
received: 05 08 2021
accepted: 11 11 2021
entrez: 27 12 2021
pubmed: 28 12 2021
medline: 28 12 2021
Statut: epublish

Résumé

Brain dynamics have recently been shown to be modulated by rhythmic changes in female sex hormone concentrations across an entire menstrual cycle. However, many questions remain regarding the specific differences in information processing across spacetime between the two main follicular and luteal phases in the menstrual cycle. Using a novel turbulent dynamic framework, we studied whole-brain information processing across spacetime scales (i.e., across long and short distances in the brain) in two open-source, dense-sampled resting-state datasets. A healthy naturally cycling woman in her early twenties was scanned over 30 consecutive days during a naturally occurring menstrual cycle and under a hormonal contraceptive regime. Our results indicated that the luteal phase is characterized by significantly higher information transmission across spatial scales than the follicular phase. Furthermore, we found significant differences in turbulence levels between the two phases in brain regions belonging to the default mode, salience/ventral attention, somatomotor, control, and dorsal attention networks. Finally, we found that changes in estradiol and progesterone concentrations modulate whole-brain turbulent dynamics in long distances. In contrast, we reported no significant differences in information processing measures between the active and placebo phases in the hormonal contraceptive study. Overall, the results demonstrate that the turbulence framework is able to capture differences in whole-brain turbulent dynamics related to ovarian hormones and menstrual cycle stages.

Identifiants

DOI: 10.3389/fnins.2021.753820 PMID: 34955718 PMC: PMC8695489
pubmed: 34955718
doi: 10.3389/fnins.2021.753820
pmc: PMC8695489
doi:

Types de publication

Journal Article

Langues

eng

Pagination

753820

Informations de copyright

Copyright © 2021 De Filippi, Uribe, Avila-Varela, Martínez-Molina, Gashaj, Pritschet, Santander, Jacobs, Kringelbach, Sanz Perl, Deco and Escrichs.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Eleonora De Filippi (E)

Computational Neuroscience Group, Center for Brain and Cognition, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain.

Carme Uribe (C)

Research Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health (CAMH), University of Toronto, Toronto, ON, Canada.
Medical Psychology Unit, Department of Medicine, Institute of Neuroscience, University of Barcelona, Barcelona, Spain.

Daniela S Avila-Varela (DS)

Speech Acquisition and Perception Group, Center for Brain and Cognition, Universitat Pompeu Fabra, Barcelona, Spain.

Noelia Martínez-Molina (N)

Computational Neuroscience Group, Center for Brain and Cognition, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain.

Venera Gashaj (V)

Computational Neuroscience Group, Center for Brain and Cognition, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain.
Swiss Federal Institute of Technology (ETH), Zurich, Switzerland.

Laura Pritschet (L)

Department of Psychological and Brain Sciences, University of California, Santa Barbara, Santa Barbara, CA, United States.

Tyler Santander (T)

Department of Psychological and Brain Sciences, University of California, Santa Barbara, Santa Barbara, CA, United States.

Emily G Jacobs (EG)

Neuroscience Research Institute, University of California, Santa Barbara, Santa Barbara, CA, United States.

Morten L Kringelbach (ML)

Centre for Eudaimonia and Human Flourishing, University of Oxford, Oxford, United Kingdom.
Department of Psychiatry, University of Oxford, Oxford, United Kingdom.
Department of Clinical Medicine, Center for Music in the Brain, Aarhus University, Aarhus, Denmark.

Yonatan Sanz Perl (Y)

Computational Neuroscience Group, Center for Brain and Cognition, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain.

Gustavo Deco (G)

Computational Neuroscience Group, Center for Brain and Cognition, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain.
Institució Catalana de la Recerca i Estudis Avançats (ICREA), Barcelona, Spain.
Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
Turner Institute for Brain and Mental Health, Monash University, Melbourne, VIC, Australia.

Anira Escrichs (A)

Computational Neuroscience Group, Center for Brain and Cognition, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain.

Classifications MeSH