FRANÇAIS
A showcase of ÉTS researchers’ publications and other contributions
SEARCH

Altered brain criticality in schizophrenia: New insights from magnetoencephalography

Downloads

Downloads per month over past year

Alamian, Golnoush, Lajnef, Tarek, Pascarella, Annalisa, Lina, Jean-Marc, Knight, Laura, Walters, James, Singh, Krish D. et Jerbi, Karim. 2022. « Altered brain criticality in schizophrenia: New insights from magnetoencephalography ». Frontiers in Neural Circuits, vol. 16.

[thumbnail of Lina-JM-2022-24275.pdf]
Preview
PDF
Lina-JM-2022-24275.pdf - Published Version
Use licence: Creative Commons CC BY.

Download (5MB) | Preview

Abstract

Schizophrenia has a complex etiology and symptomatology that is difficult to untangle. After decades of research, important advancements toward a central biomarker are still lacking. One of the missing pieces is a better understanding of how non-linear neural dynamics are altered in this patient population. In this study, the resting-state neuromagnetic signals of schizophrenia patients and healthy controls were analyzed in the framework of criticality. When biological systems like the brain are in a state of criticality, they are thought to be functioning at maximum efficiency (e.g., optimal communication and storage of information) and with maximum adaptability to incoming information. Here, we assessed the self-similarity and multifractality of resting-state brain signals recorded with magnetoencephalography in patients with schizophrenia patients and in matched controls. Schizophrenia patients had similar, although attenuated, patterns of self-similarity and multifractality values. Statistical tests showed that patients had higher values of self-similarity than controls in fronto-temporal regions, indicative of more regularity and memory in the signal. In contrast, patients had less multifractality than controls in the parietal and occipital regions, indicative of less diverse singularities and reduced variability in the signal. In addition, supervised machine-learning, based on logistic regression, successfully discriminated the two groups using measures of self-similarity and multifractality as features. Our results provide new insights into the baseline cognitive functioning of schizophrenia patients by identifying key alterations of criticality properties in their resting-state brain data.

Item Type: Peer reviewed article published in a journal
Professor:
Professor
Lina, Jean-Marc
Affiliation: Génie électrique
Date Deposited: 29 Apr 2022 19:10
Last Modified: 23 Jun 2022 14:30
URI: https://espace2.etsmtl.ca/id/eprint/24275

Actions (login required)

View Item View Item