Functional balance at rest of hemispheric homologs assessed via normalized compression distance.

functional source separation neurodynamics normalized compression distance resting state temporal course of the neuronal electrical activity

Journal

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

Informations de publication

Date de publication:
2023
Historique:
received: 19 07 2023
accepted: 13 12 2023
medline: 9 2 2024
pubmed: 9 2 2024
entrez: 9 2 2024
Statut: epublish

Résumé

The formation and functioning of neural networks hinge critically on the balance between structurally homologous areas in the hemispheres. This balance, reflecting their physiological relationship, is fundamental for learning processes. In our study, we explore this functional homology in the resting state, employing a complexity measure that accounts for the temporal patterns in neurodynamics. We used Normalized Compression Distance (NCD) to assess the similarity over time, neurodynamics, of the somatosensory areas associated with hand perception (S1). This assessment was conducted using magnetoencephalography (MEG) in conjunction with Functional Source Separation (FSS). Our primary hypothesis posited that neurodynamic similarity would be more pronounced within individual subjects than across different individuals. Additionally, we investigated whether this similarity is influenced by hemisphere or age at a population level. Our findings validate the hypothesis, indicating that NCD is a robust tool for capturing balanced functional homology between hemispheric regions. Notably, we observed a higher degree of neurodynamic similarity in the population within the left hemisphere compared to the right. Also, we found that intra-subject functional homology displayed greater variability in older individuals than in younger ones. Our approach could be instrumental in investigating chronic neurological conditions marked by imbalances in brain activity, such as depression, addiction, fatigue, and epilepsy. It holds potential for aiding in the development of new therapeutic strategies tailored to these complex conditions, though further research is needed to fully realize this potential.

Identifiants

pubmed: 38333603
doi: 10.3389/fnins.2023.1261701
pmc: PMC10851083
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1261701

Informations de copyright

Copyright © 2024 Pascarella, Bruni, Armonaite, Porcaro, Conti, Cecconi, Paulon, Vitulano and Tecchio.

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. The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

Auteurs

Annalisa Pascarella (A)

Istituto per le Applicazioni del Calcolo 'Mauro Picone', National Research Council of Italy, Rome, Italy.

Vittoria Bruni (V)

Istituto per le Applicazioni del Calcolo 'Mauro Picone', National Research Council of Italy, Rome, Italy.
Department of Basic and Applied Science for Engineering (SBAI), University of Rome 'Sapienza', Rome, Italy.

Karolina Armonaite (K)

Faculty of Engineering, Uninettuno University, Rome, Italy.

Camillo Porcaro (C)

Department of Neuroscience and Padova Neuroscience Center, University of Padua, Padua, Italy.
Laboratory of Electrophysiology for Translational neuroScience and Laboratory for Agent Based Social Simulation, Institute of Cognitive Sciences and Technologies, National Research Council of Italy, Rome, Italy.
Centre for Human Brain Health and School of Psychology, University of Birmingham, Birmingham, United Kingdom.

Livio Conti (L)

Faculty of Engineering, Uninettuno University, Rome, Italy.

Federico Cecconi (F)

Laboratory of Electrophysiology for Translational neuroScience and Laboratory for Agent Based Social Simulation, Institute of Cognitive Sciences and Technologies, National Research Council of Italy, Rome, Italy.

Luca Paulon (L)

Laboratory of Electrophysiology for Translational neuroScience and Laboratory for Agent Based Social Simulation, Institute of Cognitive Sciences and Technologies, National Research Council of Italy, Rome, Italy.
Luca Paulon, Independent Researcher, Rome, Italy.

Domenico Vitulano (D)

Department of Basic and Applied Science for Engineering (SBAI), University of Rome 'Sapienza', Rome, Italy.

Franca Tecchio (F)

Laboratory of Electrophysiology for Translational neuroScience and Laboratory for Agent Based Social Simulation, Institute of Cognitive Sciences and Technologies, National Research Council of Italy, Rome, Italy.

Classifications MeSH