Characterizing Electromyographic Activity During Locomotion in the MitoPark Mouse Model of Parkinson’s Disease Restricted; Files Only
Sugimoto, Eimi (Spring 2026)
Abstract
Electromyography (EMG) readings that measure electrophysiological activity of muscle are one
way in which we can track changes in neuromuscular activity. These changes can be investigated
in animal models of Parkinson’s disease (PD) and compared to findings in Parkinson’s patients
to shed light on the translational relevance of these animal models in characterizing
neuromuscular changes associated with Parkinson’s disease. The MitoPark (MP) mouse model
of PD mimics the progressive nature of the disease in humans via a knockout of Tfam, a gene
encoding a mitochondrial transcription factor, specifically in dopaminergic neurons. This is
achieved by crossing DAT-Cre mice with Tfam-floxed mice, resulting in mitochondrial
dysfunction, oxidative stress, and dopaminergic neuron death leading to Parkinsonian motor
symptoms.
Potential similarities or differences in electromyographic (EMG) activity between this
mouse model and human Parkinson’s patients have not been well-researched. To address this, we
analyzed gait and EMG patterns of activity in the deltoid and triceps lateral head muscles in
comparison to wildtype (WT) mice across early (16-18 weeks) and late (23-25 weeks) disease
stages during a 15-minute Open Field assay. MP mice showed comparable average body and
paw speeds when compared to WT mice, but with a general decreasing trend from WT to Early
MP to Late MP. When mice locomoting at similar body speeds were compared, we found no
significant differences across groups in percentage of time spent in the swing phase of stepping.
MP mice took significantly fewer steps per recording compared to WT. Step-triggered averaging
(STA) of EMG activity revealed no statistically significant differences in peak STA timing or
STA half-width between WT and MP mice in either muscle, suggesting that the timing and
duration of average muscle activation patterns relative to stepping events may be preserved in
these muscles at the disease stages examined. However, these results should be interpreted with
caution given the small sample sizes of n=2 WT, n=2 late MP, and n=3 early MP mice, and
further recordings will be necessary.
As a preliminary extension of this work, a single-step analysis pipeline was developed to
characterize EMG burst activity at the level of individual stepping events.
Table of Contents
Introduction………………………………………………………………………………………..1
Parkinson’s Disease in Humans……………………………………………………….......1
Rodent Models of Parkinson’s Disease………………………...…………………………2
Methods……………………………………………………………………………………………4
Open Field Behavioral Assay……………………………………………………………..5
Recording Video and EMG Data………………………………………………………….6
EMG/DLC/Gait/Video Reviewer…………………………………………………………7
DeepLabCut Tracking and Video Labeling……………………………………………….7
Gait Analysis………………………………………………………………………………9
Preprocessing of EMG Data……………………………………………………………..10
Evaluating EMG Channel Viability……………………………………………………...11
Step-Triggered Averages Analysis………………………………………………………12
Preliminary Single Step Analysis………………………………………………………..15
Results …………………………………………………………………………………………...16
MP Mice Take Fewer Steps than Wildtype Mice ……………………………………….17
MP Mice and WT Mice Locomote at Similar Speeds…………………………………...21
At Comparable Body Speeds, MP and WT Mice Spend Similar Amounts of Time in the
Swing Phase of Locomotion…………………………………………………………….21
Peak STA Timing Does Not Differ Between MP and WT Mice……………………….24
STA Half-Widths Do Not Differ Between MP and WT Mice……………………….…27
Preliminary Single-Step Analysis……………………………………………………….29
Burst Extraction Examples………………………………………………………………32
Discussion……………………………………………………………………………………….34
Limitations……………………………………………………………………………………….35
Future Directions………………………………………………………………………………...37
Works Cited……………………………………………………………………………………...38
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