Brain network dysfunctions in addiction: a meta-analysis of resting-state functional connectivity

Resting-state functional connectivity (rsFC) provides novel insights into variabilities in neural networks associated with the use of addictive drugs or with addictive behavioral repertoire. However, given the broad mix of inconsistent findings across studies, identifying specific consistent pattern...

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Detalles Bibliográficos
Autores principales: Tolomeo, Serenella, Yu, Rongjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8799706/
https://www.ncbi.nlm.nih.gov/pubmed/35091540
http://dx.doi.org/10.1038/s41398-022-01792-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8799706/
https://www.ncbi.nlm.nih.gov/pubmed/35091540
http://dx.doi.org/10.1038/s41398-022-01792-6

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