Connectomic disturbances underlying insomnia disorder and predictors of treatment response

OBJECTIVE: Despite its prevalence, insomnia disorder (ID) remains poorly understood. In this study, we used machine learning to analyze the functional connectivity (FC) disturbances underlying ID, and identify potential predictors of treatment response through recurrent transcranial magnetic stimula...

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Detalles Bibliográficos
Autores principales: Lu, Qian, Zhang, Wentong, Yan, Hailang, Mansouri, Negar, Tanglay, Onur, Osipowicz, Karol, Joyce, Angus W., Young, Isabella M., Zhang, Xia, Doyen, Stephane, Sughrue, Michael E., He, Chuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Human Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9399490/
https://www.ncbi.nlm.nih.gov/pubmed/36034119
http://dx.doi.org/10.3389/fnhum.2022.960350

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9399490/
https://www.ncbi.nlm.nih.gov/pubmed/36034119
http://dx.doi.org/10.3389/fnhum.2022.960350

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