Inpatient Activity

Inpatient Actigraphy Clinical Measurement Initiative

FNIBI / Current Projects / Actigraphy, Clinical Measurement Initiative, Inpatient, Inpatient Activity /

July 1, 2023

Assessing sleep and activity is critical within inpatient psychiatry. In our pursuit to enhance the accuracy and depth of available sleep and activity data for clinicians, we have developed a system to extract and display measurements related to sleep and activity from patients who are receiving treatment in the hospital. Our primary goal is to assess the effectiveness of this approach with patients and compare it to the current assessment methods in use for sleep and activity assessment. Additionally, we aim to optimize the presentation of sleep and actigraphy data to maximize its impact on patient care.

Brien Culhane, BS

FNIBI / People / Clinical Measurement Initiative, Inpatient Activity, Road to Recovery /

July 1, 2022

Brien received his Bachelor’s of Science with honors in psychology from Davidson College in 2022. At Davidson, Brien studied positive psychology and self-compassion, culminating in an honors thesis on the effects of a 90-minute single session loving-kindness meditation intervention for undergraduate wellbeing. As an RA in the Baker Lab, Brien works on a longitudinal deep phenotyping study performing clinical interviews of patients with major depression, bipolar disorder, schizophrenia, and related mental illnesses. Most recently, he has begun work on a personal research project helping to implement a clinical measurements initiative at McLean and assess the clinical utility of wearable devices for monitoring sleep and activity in psychiatric inpatients. Brien intends to pursue a Ph.D. in Clinical Psychology succeeding his time at McLean.

Vincent Holstein, MD MSc

FNIBI / People / A Year in the Life, Inpatient Activity, Neuroimaging /

January 1, 2010

Dr. Holstein is a postdoc at the Neurogenomics and Translational Bioinformatics Laboratory (NG-TBL) at McLean Hospital since January 2023. He is interested in the extraction of features from actigraphy data and using psychometrics and biomarkers to predict treatment responses in diverse psychiatric populations.