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Changes in resting-state brain connectivity following computerized cognitive behavioral therapy for insomnia in dialysis patients: A pilot study.
- Source :
-
General Hospital Psychiatry . Sep2020, Vol. 66, p24-29. 6p. - Publication Year :
- 2020
-
Abstract
- Insomnia is prevalent among dialysis patients and affects their mortality. Although cognitive behavioral therapy for insomnia (CBTi) is recommended, attending regular face-to-face CBTi sessions is a major challenge for patients. We evaluated the effectiveness of a self-directed computerized CBTi (cCBTi) in dialysis patients, and investigated changes in resting-state brain connectivity and inflammatory cytokines following cCBTi. Thirty-five patients undergoing maintenance hemodialysis or peritoneal dialysis who had insomnia were screened for participation in the study, with 17 participants included in the final analyses. A self-directed cCBTi protocol accessed via tablet computer during dialysis or at home was developed and applied. Information about sleep, anxiety, depression, laboratory data, and resting-state functional magnetic resonance imaging data was obtained 3–5 days before and after cCBTi. cCBTi improved sleep quality, and this was correlated with increased resting-state brain connectivity between the default-mode network and the premotor/dorsolateral prefrontal cortex. The decrement of interleukin-1β levels were correlated with improved sleep quality and increased brain connectivity after cCBTi. Our pilot study findings suggest that cCBTi is effective for dialysis patients with insomnia, and the therapeutic effects of cCBTi are related to changes in brain functional connectivity and inflammatory cytokines. • Computerized CBT for insomnia (cCBTi) improved sleep quality in dialysis patients. • Changes in brain connectivity after cCBTi correlated with improved sleep. • Decrease in IL-1β correlated with improved sleep and increased brain connectivity. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 01638343
- Volume :
- 66
- Database :
- Academic Search Index
- Journal :
- General Hospital Psychiatry
- Publication Type :
- Academic Journal
- Accession number :
- 145654697
- Full Text :
- https://doi.org/10.1016/j.genhosppsych.2020.05.013