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Abstract Details

Quantifying Subclinical Square Wave Jerks (SWJs) in Multiple Sclerosis (MS).
Multiple Sclerosis
P8 - Poster Session 8 (11:45 AM-12:45 PM)
12-001

: To measure the microsaccade characteristics of MS patients to quantify the presence of SWJ 

MS is a neurodegenerative inflammatory disease of the CNS characterized by decline in neurological function that is partially ameliorated by existing therapies. Sensitive tools for tracking worsening are needed to help with the development of treatments to slow decline. Oculomotor deficits are common in MS and include disruption of normal fixation. The tracking scanning laser ophthalmoscope (TSLO), a high-resolution retinal eye-tracking device, can objectively quantify these deficits. 

We recorded three, 10-second scans of fixational eye motion in 71 MS patients (average EDSS 3 +/- 1.8, average disease duration 14.4 +/- 19.4 years) to quantify the presence of SWJs. Eye traces were manually labeled to flag SWJs, defined by having two, roughly equal microsaccades of opposite direction separated by an inter saccadic interval (ISI) ranging between 100-300ms. We classified 48 MS patients (67%) as “SWJ”, as they met our minimum threshold of 3 SWJs instances per scan in at least 50% of traces. We computed the average number of SWJs for each patient’s total traces and conducted exploratory correlation analyses between those averages and their disability (EDSS), fatigue (GFI), hand dexterity, and cognition (SDMT) scores. Finally, we compared if their SWJs were detected at bedside. 

100% of patients we classified as having SWJ patterns were not previously diagnosed as such at bedside. We found significant positive correlations between SWJs and EDSS (r = 0.3, p=0.033), as well as non-dominant hand dexterity (r=0.46, p=0.032), with significant inverse correlations between SWJs and GFI (r = -0.46, p = 0.018) and SDMT (r = -0.52, p = 0.014). 

TSLO can flag subclinical SWJ deficits in patients with MS which may contribute to visual dysfunction in MS patients. This documents a notable increase in the number of patients categorized with SWJs.

Authors/Disclosures
Christy K. Sheehy, PhD
PRESENTER
Dr. Sheehy has received personal compensation for serving as an employee of C. Light Technologies, Inc. An immediate family member of Dr. Sheehy has received personal compensation in the range of $500-$4,999 for serving as a Consultant for C. Light Technologies, Inc.. Dr. Sheehy has stock in C. Light Technologies. Dr. Sheehy has received research support from C. Light Technologies, Inc. Dr. Sheehy has received intellectual property interests from a discovery or technology relating to health care.
Luigi Pesce Ibarra, PhD (C. Light Technologies, Inc) Dr. Pesce Ibarra has nothing to disclose.
No disclosure on file
Ari Green, MD (UCSF) Dr. Green has received personal compensation in the range of $50,000-$99,999 for serving on a Scientific Advisory or Data Safety Monitoring board for Pipeline Therapeutics. Dr. Green has received personal compensation in the range of $0-$499 for serving on a Scientific Advisory or Data Safety Monitoring board for Bionure. Dr. Green has received personal compensation in the range of $10,000-$49,999 for serving as an Editor, Associate Editor, or Editorial Advisory Board Member for JAMA Neurology. The institution of Dr. Green has received research support from NINDS. The institution of Dr. Green has received research support from NMSS. The institution of Dr. Green has received research support from NIA. The institution of Dr. Green has received research support from Adelson Research Foundation. Dr. Green has received intellectual property interests from a discovery or technology relating to health care. Dr. Green has received personal compensation in the range of $500-$4,999 for serving as a Study Section with NINDS. Dr. Green has a non-compensated relationship as a Author with Viela Bio that is relevant to AAN interests or activities.
Shivany Condor Montes (Sandler Neurosciences Center) No disclosure on file
Daniel Bennett (UCSF School Of Medicine) No disclosure on file