Functional connectivity of proximal and distal lower limb muscles and impact on gait variability in stroke.
Hyosok Lim, Brice Cleland, Sangeetha Madhavan
PMID 36327534WHAT IT FOUND
Stroke survivors with stronger brain-to-muscle signals to the thigh compared to the shin showed more inconsistent step lengths.
These brain signals did not predict variability in step timing. This links specific neural patterns to spatial gait instability.
Key findings
01Greater corticomotor excitability of the paretic rectus femoris relative to the paretic tibialis anterior predicted higher spatial gait variability.
02Corticomotor characteristics did not significantly predict temporal gait variability.
03Symmetry of corticomotor excitability for the tibialis anterior and ipsilateral excitability were not significant predictors of spatial gait variability.
STILL TO COME
How it was doneWhat they foundWhat it means for PTsWhat it means for OTsWhat it means for SLPs
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What it does not show
The study was small (30 participants) and retrospective, limiting generalizability. It did not measure ipsilateral corticomotor excitability for the rectus femoris, so the full picture of brain-muscle connections is incomplete. The study did not measure subcortical or spinal circuits, which may influence temporal gait control. Causality cannot be determined; the study only shows an association between neural patterns and gait variability.
Declared interests
The study was supported by the National Institutes of Health (Extramural) and non-U.S. government research support. No specific conflicts of interest were declared in the provided text.
The easy way to misread this
Do not assume that treating the shin muscle will reduce step length variability. The study found that variability was linked to the brain's signal to the thigh muscle, not the shin, and these findings are correlational, not causal.