Remote Cognitive Training for Insomnia
(rSTATE Trial)
Trial Summary
What is the purpose of this trial?
This study called rSTATE (Remote STATE Training for Insomnia in Older Adults) is a Phase II study to definitively evaluate the efficacy of a computerized cognitive training program (rSTATE) designed to improve sleep regulation and brain health and extend functional independence in older adults with insomnia.
Will I have to stop taking my current medications?
The trial does not require you to stop taking your current medications as long as you have been stable on them for more than 3 months. However, you cannot be part of another clinical trial or insomnia treatment at the same time.
What data supports the effectiveness of the treatment Computerized Plasticity-Based Adaptive Cognitive Training for insomnia?
Is remote cognitive training for insomnia safe for humans?
How is the treatment 'Computerized Plasticity-Based Adaptive Cognitive Training' unique for insomnia?
Research Team
Andrew Krystal, MD, MS
Principal Investigator
University of California, San Francisco
Thomas Van Vleet, PhD
Principal Investigator
Posit Science Corporation
Eligibility Criteria
This trial is for older adults who are experiencing insomnia. Participants should be interested in trying a computerized cognitive training program to improve their sleep and brain health, with the goal of maintaining independence.Inclusion Criteria
Exclusion Criteria
Timeline
Screening
Participants are screened for eligibility to participate in the trial
Treatment
Participants undergo computerized plasticity-based adaptive cognitive training with a maximum of 36 sessions, up to 5 sessions per week, approximately 36 minutes per session
Follow-up
Participants are monitored for sleep quality and task engagement using the Insomnia Severity Index and performance tasks
Treatment Details
Interventions
- Computerized Plasticity-Based Adaptive Cognitive Training
- Sleep Hygiene Education
Find a Clinic Near You
Who Is Running the Clinical Trial?
Posit Science Corporation
Lead Sponsor
University of California, San Francisco
Collaborator