Precision dynamical mapping using topological data analysis reveals a hub-like transition state at rest.
Nat Commun
; 13(1): 4791, 2022 08 15.
Article
em En
| MEDLINE
| ID: mdl-35970984
ABSTRACT
In the absence of external stimuli, neural activity continuously evolves from one configuration to another. Whether these transitions or explorations follow some underlying arrangement or lack a predictable ordered plan remains to be determined. Here, using fMRI data from highly sampled individuals (~5 hours of resting-state data per individual), we aimed to reveal the rules that govern transitions in brain activity at rest. Our Topological Data Analysis based Mapper approach characterized a highly visited transition state of the brain that acts as a switch between different neural configurations to organize the spontaneous brain activity. Further, while the transition state was characterized by a uniform representation of canonical resting-state networks (RSNs), the periphery of the landscape was dominated by a subject-specific combination of RSNs. Altogether, we revealed rules or principles that organize spontaneous brain activity using a precision dynamics approach.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Mapeamento Encefálico
/
Análise de Dados
Limite:
Humans
Idioma:
En
Ano de publicação:
2022
Tipo de documento:
Article