Unobtrusive Monitoring of Affective Symptoms and Cognition Using Keyboard Dynamics (UnMASCK)
NCT04358900
Bipolar Disorder, Bipolar Disorder I
Chicago, Illinois, United States
View Trial DetailsNCT Number: NCT07427966
This trial has two studies. In study 1, the investigators will explore the relationships between three psychobiological factors (sleep patterns, motor activity, and decision-making ability). The investigators aim to investigate how these factors interact in BD patients. This understanding will facilitate the distinction of BD patients from patients with recurrent depressive disorder (MDD) and healthy controls.
In study 2, the investigators will continue following patients with bipolar disorder and use the interplay between the three psychobiological factors to develop early markers of full-blown affective episodes.
Trial opening soon.
Get Notified18 year–65 year
All sexes
Observational
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
For all participants:
For patients with bipolar disorder
For patients with recurrent depression
Exclusion criteria
Common to all participants:
For adults without psychiatric illness:
For patients with bipolar disorder and patients with recurrent depression:
Time frame: 12 weeks for study 1; 1 year for study 2
Smartwatch measure of sleep onset.
Time frame: 12 weeks for study 1; 1 year for study 2
Smartwatch data on number of steps each half time of the day
Time frame: 12 weeks for study 1; 1 year for study 2
We will administer a reward learning task and use computational modeling to extract a learning rate.
Time frame: 12 weeks for study 1; 1 year for study 2
We will administer a valence go/no go task and use computational model to extract reward sensitivity.
Time frame: 12 weeks for study 1; 1 year for study 2
We will administer a valence go/no go task and use computational model to extract a motivational bias.
Time frame: 12 weeks for study 1; 1 year for study 2
We will administer an effort discounting task and use computational modeling to extract an effort discounting parameter.
Time frame: 12 weeks for study 1; 1 year for study 2
We will administer foraging task and calculate a foraging exit threshold.
Time frame: 12 weeks for study 1; 1 year for study 2
Smartwatch measure of sleep duration.
Time frame: 12 weeks for study 1; 1 year for study 2
Smartwatch measure of sleep quality.
Time frame: 12 weeks for study 1; 1 year for study 2
Karolinska Sleep Questionnaire (KSQ)
Time frame: 12 weeks for study 1; 1 year for study 2
Reduced Morningness-Eveningness Questionnaire
Time frame: 12 weeks for study 1; 1 year for study 2
Center for Epidemiologic Studies Depression Scale Revised (CESD-R)
Time frame: 12 weeks for study 1; 1 year for study 2
Altman Self-Rating Mania Scale (ASRM)
Time frame: 12 weeks for study 1; 1 year for study 2
Munich Chronotype Questionnaire (MCTQ)
Time frame: 12 weeks for study 1; 1 year for study 2
Insomnia Severity
Time frame: 12 weeks for study 1; 1 year for study 2
Patient Health Questionnaire-9 (PHQ-9)
Karolinska Institutet
Other
Acronym: MoodCatcher
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
Published trials that share one or more normalized conditions with this study.
NCT04358900
Bipolar Disorder, Bipolar Disorder I
Chicago, Illinois, United States
View Trial DetailsNCT05317481
Behavior, Behavioral Symptoms
New Haven, Connecticut, United States
View Trial DetailsNCT02453438
Behavior, Behavioral Symptoms
Boston, Massachusetts, United States
View Trial DetailsNCT06376734
Anxiety Disorders, Behavior
Sunnyvale, California, United States
View Trial Details