Medicine and Health Sciences Commons^™

Multi-Site Identification And Generalization Of Clusters Of Walking Behaviors In Individuals With Chronic Stroke And Neurotypical Controls, Natalia Sánchez, Nicolas Schweighofer, Sara J. Mulroy, Ryan T. Roemmich, Trisha M. Keshar, Gelsy Torres-Oviedo, Beth E. Fisher, James M. Finley, Carolee J. Winstein

Physical Therapy Faculty Articles and Research

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Background

Walking patterns in stroke survivors are highly heterogeneous, which poses a challenge in systematizing treatment prescriptions for walking rehabilitation interventions.

Objectives

We used bilateral spatiotemporal and force data during walking to create a multi-site research sample to: (1) identify clusters of walking behaviors in people post-stroke and neurotypical controls and (2) determine the generalizability of these walking clusters across different research sites. We hypothesized that participants post-stroke will have different walking impairments resulting in different clusters of walking behaviors, which are also different from control participants.

Methods

We gathered data from 81 post-stroke participants across 4 research sites and …

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Quantifying Intra- And Interlimb Use During Unimanual And Bimanual Tasks In Persons With Hemiparesis Post-Stroke, Susan V. Duff, Aaron Miller, Lori Quinn, Gregory Youdan Jr., Lauri Bishop, Heather Ruthrauff, Eric Wade

Physical Therapy Faculty Articles and Research

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Background

Individuals with hemiparesis post-stroke often have difficulty with tasks requiring upper extremity (UE) intra- and interlimb use, yet methods to quantify both are limited.

Objective

To develop a quantitative yet sensitive method to identify distinct features of UE intra- and interlimb use during task performance.

Methods

Twenty adults post-stroke and 20 controls wore five inertial sensors (wrists, upper arms, sternum) during 12 seated UE tasks. Three sensor modalities (acceleration, angular rate of change, orientation) were examined for three metrics (peak to peak amplitude, time, and frequency). To allow for comparison between sensor data, the resultant values were combined into …

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Gains Across Who Dimensions Of Function After Robot-Based Therapy In Stroke Subjects, Jennifer Wu, Lucy Dodakian, Jill See, Erin Burke Quinlan, Lisa Meng, Jeby Abraham, Ellen C. Wong, Vu Le, Alison Mckenzie, Steven C. Cramer

Physical Therapy Faculty Articles and Research

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Background

Studies examining the effects of therapeutic interventions after stroke often focus on changes in loss of body function/structure (impairment). However, improvements in activities limitations and participation restriction are often higher patient priorities, and the relationship that these measures have with loss of body function/structure is unclear.

Objective

This study measured gains across WHO International Classification of Function (ICF) dimensions and examined their interrelationships.

Methods

Subjects were recruited 11 to 26 weeks after hemiparetic stroke. Over a 3-week period, subjects received 12 sessions of intensive robot-based therapy targeting the distal arm. Each subject was assessed at baseline and at 1 …

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Predicting Gains With Visuospatial Training After Stroke Using An Eeg Measure Of Frontoparietal Circuit Function, Robert J. Zhou, Hossein M. Hondori, Maryam Khademi, Jessica M. Cassidy, Katherine M. Wu, Derek Z. Yang, Nikhita Kathuria, Fareshte R. Erani, Lucy Dodakian, Alison Mckenzie, Cristina V. Lopes, Walt Scacchi, Ramesh Srinivasan, Steven C. Cramer

Physical Therapy Faculty Articles and Research

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The heterogeneity of stroke prompts the need for predictors of individual treatment response to rehabilitation therapies. We previously studied healthy subjects with EEG and identified a frontoparietal circuit in which activity predicted training-related gains in visuomotor tracking. Here we asked whether activity in this same frontoparietal circuit also predicts training-related gains in visuomotor tracking in patients with chronic hemiparetic stroke. Subjects (n = 12) underwent dense-array EEG recording at rest, then received 8 sessions of visuomotor tracking training delivered via home-based telehealth methods. Subjects showed significant training-related gains in the primary behavioral endpoint, Success Rate score on a standardized test …

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Connectivity Measures Are Robust Biomarkers Of Cortical Function And Plasticity After Stroke, Jennifer Wu, Erin Burke Quinlan, Lucy Dodakian, Alison Mckenzie, Nikhita Kathuria, Robert J. Zhou, Renee Augsburger, Jill See, Vu H. Lee, Ramesh Srinivasan, Steven C. Cramer

Physical Therapy Faculty Articles and Research

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Valid biomarkers of motor system function after stroke could improve clinical decision-making. Electroencephalography-based measures are safe, inexpensive, and accessible in complex medical settings and so are attractive candidates. This study examined specific electroencephalography cortical connectivity measures as biomarkers by assessing their relationship with motor deficits across 28 days of intensive therapy. Resting-state connectivity measures were acquired four times using dense array (256 leads) electroencephalography in 12 hemiparetic patients (7.3 ± 4.0 months post-stroke, age 26–75 years, six male/six female) across 28 days of intensive therapy targeting arm motor deficits. Structural magnetic resonance imaging measured corticospinal tract injury and infarct volume. …

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