Trait anxiety is associated with attentional brain networks
Impacto
![Google Scholar](/xmlui/themes/Mirage2/images/uji/logo_google.png)
![Microsoft Academico](/xmlui/themes/Mirage2/images/uji/logo_microsoft.png)
Metadatos
Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/8033
comunitat-uji-handle3:10234/8636
comunitat-uji-handle4:
INVESTIGACIONMetadatos
Título
Trait anxiety is associated with attentional brain networksAutoría
Fecha de publicación
2024-03-15Editor
Elsevier B.V.ISSN
0924-977XCita bibliográfica
Víctor De la Peña-Arteaga, Pamela Chavarría-Elizondo, Asier Juaneda-Seguí, Ignacio Martínez-Zalacaín, Pedro Morgado, José Manuel Menchón, Maria Picó-Pérez, Miquel A. Fullana, Carles Soriano-Mas, Trait anxiety is associated with attentional brain networks, European Neuropsychopharmacology, Volume 83, 2024, Pages 19-26, ISSN 0924-977X, https://doi.org/10.1016/j.euroneuro.2024.02.013.Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://www.sciencedirect.com/science/article/pii/S0924977X24000488Versión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
Trait anxiety is a well-established risk factor for anxiety and depressive disorders, yet its neural correlates are not clearly understood. In this study, we investigated the neural correlates of trait anxiety in a ... [+]
Trait anxiety is a well-established risk factor for anxiety and depressive disorders, yet its neural correlates are not clearly understood. In this study, we investigated the neural correlates of trait anxiety in a large sample (n = 179) of individuals who completed the trait and state versions of the State-Trait Anxiety Inventory and underwent resting-state functional magnetic resonance imaging. We used independent component analysis to characterize individual resting-state networks (RSNs), and multiple regression analyses to assess the relationship between trait anxiety and intrinsic connectivity. Trait anxiety was significantly associated with intrinsic connectivity in different regions of three RSNs (dorsal attention network, default mode network, and auditory network) when controlling for state anxiety. These RSNs primarily support attentional processes. Notably, when state anxiety was not controlled for, a different pattern of results emerged, highlighting the importance of considering this factor in assessing the neural correlates of trait anxiety. Our findings suggest that trait anxiety is uniquely associated with resting-state brain connectivity in networks mainly supporting attentional processes. Moreover, controlling for state anxiety is crucial when assessing the neural correlates of trait anxiety. These insights may help refine current neurobiological models of anxiety and identify potential targets for neurobiologically-based interventions. [-]
Publicado en
European Neuropsychopharmacology, Volume 83, 2024.Entidad financiadora
Agència de Gestió d'Ajuts Universitaris i de Recerca | PRTR | Departament de Salut, Generalitat de Catalunya | Horizon 2020 | European Commission | "la Caixa” Foundation
Código del proyecto o subvención
2017 SGR 1247 | JDC2022-048445-I, FI17/00294 | SLT006/17/249 | 714673 | MAZ/2021/11 | 100010434, LCF/BQ/IN17/11620071
Derechos de acceso
© 2024 The Authors
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess
Aparece en las colecciones
- PSB_Articles [1321]