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Biology subjects

Ting, L. H.

Publications and source records attributed to Ting, L. H..

3 recordsLinked to original sources

Motor module generalization across balance and walking is reduced after stroke

Here, we examined features of muscle coordination associated with reduced walking performance in chronic stroke survivors. Using motor module (a.k.a. muscle synergy) analysis, we identified differences in the modular control of overground walking and standing reactive balance in stroke survivors compared to age-similar neurotypical controls. In contrast to previous studies that demonstrated reduced motor module number post-stroke, our cohort of stroke survivors did not exhibit a reduction in motor module number compared to controls during either walking or reactive balance. Instead, the pool of motor modules common to walking and reactive balance was smaller, suggesting a reduction in generalizability of motor module function across behaviors. The motor modules common to walking and reactive balance tended to be less variable and more distinct, suggesting more reliable output compared to motor modules specific to one behavior. Indeed, higher levels of motor module generalization was associated with faster walking speeds in stroke survivors. Further, recruitment of a common independent plantarflexor module across both behaviors was associated with faster walking speeds. Our work is the first to show that motor module generalization across walking and balance may help to distinguish important and clinically-relevant differences in walking performance across stroke survivors that would have been overlooked by examining only a single behavior. Finally, as similar relationships between motor module generalization and walking performance have been demonstrated in healthy young adults and individuals with Parkinsons disease, our work suggests that motor module generalization across walking and balance may be important for well-coordinated walking.\n\nNew and NoteworthyOur study is the first to simultaneously examine neuromuscular control of walking and standing reactive balance in stroke survivors. We show that motor module generalization across these behaviors (i.e., recruiting common motor modules) is reduced compared to neurotypical controls, which is associated with slower walking speeds. This is true despite no difference in motor module number between groups within each behavior, suggesting that motor module generalization across walking and balance is important for well-coordinated walking.

bioengineering

Identifying Gait Phases from Joint Kinematics during Walking with Switched Linear Dynamical Systems

Human-robot interaction (HRI) for gait rehabilitation could benefit from data-driven, subject-specific gait models that account for gait phases and gait dynamics. Here we address the current limitation in gait models driven by averaged kinematic data, which do not model interlimb gait dynamics and have not been shown to precisely identify gait events. We used Switched Linear Dynamical Systems (SLDS) to model joint angle kinematic data from healthy individuals walking on a treadmill during normal gait and during gait perturbed by electrical muscle stimulation. We compared model-inferred gait phases to gait phases measured independently via a force plate. We found that SLDS models accounted for over 88% of the variation in each joint angle and labeled the joint kinematics with the correct gait phase with 84% precision on average. The transitions between hidden states matched measured gait events, with a median absolute difference of 25ms. To our knowledge, this is the first time that SLDS inferred gait phases have been validated by an external measure of gait, instead of against pre-defined gait phase durations. SLDS provide individual-specific representations of gait that incorporate both gait phases and gait dynamics. SLDS may be useful for developing control policies for HRI aimed at improving gait by allowing for changes in control to be precisely timed to different gait phases.

bioengineering

Antagonist muscle activity during reactive balance responses is elevated in Parkinson’s disease and in balance impairment

BACKGROUND: Abnormal antagonist leg muscle activity could indicate increased muscle co-contraction and clarify mechanisms of balance impairments in Parkinsons disease (PD). Prior studies in carefully selected patients showed PD patients demonstrate earlier, longer, and larger antagonist muscle activation during reactive balance responses to perturbations. RESEARCH QUESTION: Here, we tested whether antagonist leg muscle activity was abnormal in a group of PD patients who were not selected for phenotype, and most of whom had volunteered for exercise-based rehabilitation. METHODS: We compared antagonist activation during reactive balance responses to multidirectional support-surface translation perturbations in 31 patients with mild-moderate PD (age 68{+/-}9; H&Y 1-3; UPDRS -III 32{+/-}10) and 13 matched individuals (age 65{+/-}9). We quantified modulation of muscle activity (i.e., the ability to activate and inhibit muscles appropriately according to the perturbation direction) using modulation indices (MI) derived from minimum and maximum EMG activation levels observed across perturbation directions. RESULTS: Antagonist leg muscle activity was abnormal in unselected PD patients compared to controls. Linear mixed models identified significant associations between impaired modulation and PD (P<0.05), PD severity (P<0.01), and balance ability (P<0.05), but not age (P=0.10). SIGNIFICANCE: Antagonist activity is increased during reactive balance responses in PD patients of varying phenotypes who are candidates for rehabilitation. Abnormal antagonist activity may contribute to balance impairments in PD and be a potential rehabilitation target or outcome measure.\n\nFunding SourcesThis work was supported by the National Institutes of Health (NIH) KL2 TR000455, K25 HD086276, R01 HD46922, R21 HD075612, TL1TR000456, and UL1 TR000424. The study sponsors had no role in study design; in the collection, analysis and interpretation of data; in the writing of the report; or in the decision to submit the article for publication.\n\nDeclaration of InterestConflicts of interest: None.\n\nAuthor ContributionsResearch project: Conception, JLM, LHT, MEH; Organization, JLM, KCL, LHT, MEH; Execution, JLM, KCL, LHT, MEH.\n\nStatistical Analysis: Design and Execution, JLM, KCL; Review and Critique, LHT, MEH. Manuscript Preparation: Writing of the first draft, KCL; Review and Critique: JLM, LHT, MEH.\n\nHighlights O_LIWe quantified abnormal antagonist muscle activation during balance in PD.\nC_LIO_LIAbnormalities were related to PD severity as well as to overall balance ability.\nC_LIO_LIAbnormalities were similar across PD phenotypes with and without tremor.\nC_LIO_LIBalance antagonist activation may be a useful rehabilitative outcome measure.\nC_LI

neuroscience