Functional brain connectivity prior to the COVID-19 outbreak predicts mental health trajectories during two years of pandemic

While acknowledging the hardships caused by COVID-19, the pandemic also provided a unique opportunity to study mental well-being and individual vulnerability or resilience. Sociodemographic, psychological factors, and lifestyles, have been identified as predictors of mental health during COVID-19. O...

Descripción completa

Detalles Bibliográficos
Autores: Cabello-Toscano, María, Vaqué‑Alcázar, Lídia, Bayes-Marin, Ivet, Cattaneo, Gabriele, Solana Sánchez, Javier, Mulet‑Pons, Lídia, Bargalló, Núria, Tormos Muñoz, José María, Pascual Leone, Álvaro, Bartrés Faz, David
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Universidad Católica de Valencia San Vicente Mártir
Repositorio:RIUCV. Repositorio de la Universidad Católica de Valencia San Vicente Mártir
Idioma:inglés
OAI Identifier:oai:riucv.ucv.es:20.500.12466/4366
Acceso en línea:http://hdl.handle.net/20.500.12466/4366
Access Level:acceso abierto
Palabra clave:Functional brain connectivity
COVID-19
Mental health
Pandemic
32 Ciencias Médicas
Descripción
Sumario:While acknowledging the hardships caused by COVID-19, the pandemic also provided a unique opportunity to study mental well-being and individual vulnerability or resilience. Sociodemographic, psychological factors, and lifestyles, have been identified as predictors of mental health during COVID-19. Our previous study demonstrated the relevance of the interplay between psychological measures and brain networks’ functional connectivity (FC). However, important questions remain to be addressed. For example, can FC—alone or in combination with other measures – predict longer-term mental health? Additionally, most studies focus on emotional aspects (psychological distress), although mental health (MH) comprises emotional, psychological (personal growth, [PG]), and social (loneliness) well- being components, which were differently impacted during the pandemic. This study aims to investigate if there exists specificity between FC measures and long-term changes across MH components, knowing the links between brain networks and ‘resilience processes’.