Mood disorders are associated with significant financial and health costs for the United States, partially due to cognitive problems in these patients that can worsen disease course and impair treatment response. This study proposes to use smartphone-based technology to monitor cognitive problems in patients with mood disorders by linking brain network changes with predicted worsening of mood symptoms. The proposed study will provide evidence for using smartphone-based passive sensing as a cost-effective way to predict illness course and treatment response.
Study Type
OBSERVATIONAL
Enrollment
132
University of Illinois at Chicago
Chicago, Illinois, United States
Neuroimaging
a. Neuroimaging based biomarkers of cognitive performance will include Structural brain network Efficiency Interhemispheric Efficiency, Reduced nodal efficiency in ventrolateral prefrontal cortex/altered modularity, Reduced nodal efficiency in anterior cingulate cortex, and Reduced nodal efficiency in salience networks. Neuroimaging will take place while the participant completes the parametric Go/No-go test completed during a functional magnetic resonance imaging after using BiAffect app for 2 weeks, and again after using the BiAffect app for 4 weeks.
Time frame: Change from week 2 to week 4.
BiAffect Metric
1. BiAffect Metric component 1, Typing speed: Data collected through the keyboard provided by the BiAffect app to measure the Average Interkey Delay (The average time between keystrokes measured in seconds) and keys per second will be combined to report typing speed. 2. BiAffect Metric component 2, Backspace Ratio: Data collected through the keyboard provided by the BiAffect app to measure the number of backspace keypresses divided by total keypresses. 3. BiAffect Metric component 3, Autocorrect Rate: Data collected through the keyboard provided by the BiAffect app to measure the number of autocorrect events divided by total keypresses. These 3 components will be combined to report the BiAffect Metric.
Time frame: Measured at the end of week 4 after using the BiAffect app for 4 weeks
Clinical symptoms
1. Severity of depressive symptoms: In person administration of the Inventory of Depressive Symptomatology (IDS-C/QIDS-C). Possible scores range from 0-111 where higher scores indicate more severe depression symptoms. 2. Symptoms of mania: In person administration of the Young Mania Rating Scale (YMRS) which has a total score range from 0 to 60; higher scores indicate a more severe mania. 3. Symptoms of depression: In person administration of the Hamilton Rating Scale for Depression (HAM-D). Scores range between 0-52, and the higher the score the more depressive symptoms a participant has. These questionnaires will be combined to produce the clinical symptoms measure.
Time frame: Measured at baseline.
Cognition
1. Attention/ processing speed will be measured in person using the Flanker Inhibitory Control and Attention Test (scores range 0-5, and higher scores mean better attention), the Pattern Comparison Processing Speed Test (scores range 0-130, and higher scores mean faster processing speed), and the Trail Making Task part A (scores range 0-300 seconds, and lower scores mean faster processing speed). 2. Cognitive control will be measured in person using the Dimensional Change Card Sort Test (scores range 0-10, and higher scores mean better cognitive control), the Flanker Inhibitory Control and Attention Test, and the Trail Making Task part B (scores range 0-300 seconds, and lower scores mean higher cognitive control). 3. Working memory will be measured in person using the List Sorting Working Memory Test (scores range 0-28, and higher scores mean better working memory). Attention, cognitive control, and working memory scores will be combined to produce the cognitive outcome variable.
Time frame: Change from week 2 to week 4
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