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Abstract Details

Multi-Dimensional, Short-Timescale Tablet-Based Quantification of Movement Disorder Symptomatology
Movement Disorders
P10 - Poster Session 10 (5:30 PM-6:30 PM)
3-012
To evaluate a task-based, objective, and short-timescale assessment of movement disorder symptomatology.
Symptoms of movement disorders, such as Parkinson disease (PD) and essential tremor (ET), are assessed clinically using the Unified PD Rating Scale, part 3 (UPDRS-III), which captures only cross-sectional data and relies on clinical judgment for score assignment.  A tool for precise assessments of the fluctuating symptomatology can improve both clinical decision-making and future research, including identification of neural biomarkers.

We enrolled 32 PD patients, 9 with DBS and 23 without DBS, 12 ET patients without DBS, and 23 control subjects, who completed the tracking task designed for iOS. A single session consisted of two blocks, each with 15 randomly-generated trials lasting approximately 25 seconds each. DBS patients were tested on- and off-stimulation for comparison. All subjects completed an IRB-approved consent process.

Symptom scores were generated from a support vector machine (SVM) classifier that accounted for eight unique metrics calculated from the raw positional and pressure data collected during the task. The SVM classified each patient against the cumulative aggregation of all data collected from control subjects. UPDRS scores were assigned by two neurologists with special expertise in movement disorders at Rhode Island Hospital during the same visit.
The multi-dimensional quantitative symptom score analysis of iOS task data strongly correlated with clinically-assigned UPDRS-III scores, and successfully differentiated PD and ET patients from control subjects. PD and ET patients also could be differentiated from one another with high accuracy. In patients with DBS, symptom scores were significantly lower in the DBS-on state than the DBS-off state.
An iOS-based task and a multi-dimensional classification analysis provides quantitative, short-timescale symptom scores that correlate with clinical assessments, and reliably differentiates among patients, controls, and treatment states.
Authors/Disclosures
John Sanderson, MD (University of Washington Department of Internal Medicine)
PRESENTER 		Dr. Sanderson has nothing to disclose.
No disclosure on file
David Liu (NYU Langone Medical Center MS Comprehensive Care Center) No disclosure on file
No disclosure on file
No disclosure on file
Umer Akbar, MD Dr. Akbar has received personal compensation in the range of $500-$4,999 for serving as a Consultant for LANGaware.
Anelyssa Cysne Frota D' Abreu, MD, PhD, MPH, FÂ鶹´«Ã½Ó³»­ (Corewell Health Outpatient Neurology) The institution of Dr. Cysne Frota D' Abreu has received research support from U.S. NIH Institute on Aging. The institution of Dr. Cysne Frota D' Abreu has received research support from Biogen. The institution of Dr. Cysne Frota D' Abreu has received research support from American College Of Radiology. The institution of Dr. Cysne Frota D' Abreu has received research support from COGNITION THERAPEUTICS, INC.. The institution of Dr. Cysne Frota D' Abreu has received research support from Eli Lilly. The institution of Dr. Cysne Frota D' Abreu has received research support from Jansen. Dr. Cysne Frota D' Abreu has received personal compensation in the range of $10,000-$49,999 for serving as a Lecturer with Pri_med.
Wael Asaad No disclosure on file