Distance disintegration characterizes node-level topological dysfunctions in cocaine addiction
Impacto
Scholar |
Otros documentos de la autoría: Costumero, Víctor; Rosell Negre, Patricia; Bustamante, Juan Carlos; Fuentes-Claramonte, Paola; Adrián-Ventura, Jesús; Palomar-García, María-Ángeles; Miró-Padilla, Anna; Llopis, Juan José; Sepulcre, Jorge; Barrós-Loscertales, Alfonso
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
Distance disintegration characterizes node-level topological dysfunctions in cocaine addictionAutoría
Fecha de publicación
2021-11Editor
WileyISSN
1355-6215; 1369-1600Cita bibliográfica
Costumero, V, Rosell Negre, P, Bustamante, JC, et al. Distance disintegration characterizes node-level topological dysfunctions in cocaine addiction. Addiction Biology. 2021; 26( 6):e13072. https://doi.org/10.1111/adb.13072Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://onlinelibrary.wiley.com/doi/full/10.1111/adb.13072Versión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
Previous investigations have used global graph theory measures in order to disentangle the complexity of the neural reorganizations occurring in cocaine use disorder (CUD). However, how these global topological ... [+]
Previous investigations have used global graph theory measures in order to disentangle the complexity of the neural reorganizations occurring in cocaine use disorder (CUD). However, how these global topological alterations map into individual brain network areas remains unknown. In this study, we used resting state functional magnetic resonance imaging (fMRI) data to investigate node-level topological dysfunctions in CUD. The sample was composed of 32 individuals with CUD and 32 healthy controls, matched in age, years of education and intellectual functioning. Graph theory measures of optimal connectivity distance, node strength, nodal efficiency and clustering coefficient were estimated in each participant using voxel-wise functional connectivity connectomes. CUD individuals as compared with healthy controls showed higher optimal connectivity distances in ventral striatum, insula, cerebellum, temporal cortex, lateral orbitofrontal cortex, middle frontal cortex and left hippocampus. Furthermore, clinical measures quantifying severity of dependence were positively related with optimal connectivity distances in the right rolandic operculum and the right lateral orbitofrontal cortex, whereas length of abstinence was negatively associated with optimal connectivity distances in the right temporal pole and the left insula. Our results reveal a topological distancing of cognitive and affective related areas in addiction, suggesting an overall reduction in the communication capacity of these regions. [-]
Publicado en
Addiction biology, 2021, vol. 26, no 6Entidad financiadora
Ministerio de Ciencia, Innovación y Universidades | Ministerio de Sanidad y Consumo
Código del proyecto o subvención
PID2019-105077RJ-I00 | 040/2011
Derechos de acceso
info:eu-repo/semantics/openAccess
Aparece en las colecciones
- PSB_Articles [1315]