This study demonstrates that virtual reality has an augmented effect on balance and associated locomotor recovery in adults with hemiparetic stroke when added to conventional therapy.

The present study highlights the effects of the dual-task cognitive-gait intervention (CGI) on working memory and gait functions in older adults with a history of falls. Thirteen older adults with a history of falls were recruited from local community centers and randomly stratified into either the control (n = 5) or experimental (n = 8) group. The experimental group received the dual-task cognitive-motor intervention involving simultaneous motor (walking) and cognitive (memory recall) task whereas the control group received a placebo treatment (walking with simple music). The intervention was provided 30 minutes per session, over a 6-week period. Memory measures included a combination of word recall and arithmetic task. Gait function measures included velocity and center of pressure (COP) stability. Non-parametric tests were used at p < 0.05. The experimental group showed a greater memory performance than the control (p < 0.05). However, no significant intervention-related changes in gait velocity and stability were observed. Our findings provide the first evidence in literature to demonstrate that the long-term dual-task cognitive-motor intervention improved memory of older adults with a history of falls under the dual cognitive motor task condition.

This is the first empirical evidence highlighting the neural substrates mediating dynamic locomotion for different gait training modes and speeds. Fast, robot-assisted gait training best facilitated cortical activation associated with locomotor control.

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The study data suggest that constraints to hip joint internal rotation, along with muscle strength imbalances between the agonist and antagonist muscles and muscle tightness, are associated with substantially greater lumbopelvic movement during the golf swing.

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This was the first study to investigate the accuracy of PCT with the toggling table technique in detection of infratentorial stroke lesions. Clinically, PCT is highly reliable and accurate in detecting infratentorial stroke lesions.

Detecting neuroplastic changes during locomotor neurorehabilitation is crucial for independent primal motor behaviours. However, long-term locomotor training-related neuroplasticity remains unexplored. We compared the effects of end-effector robot-assisted gait training (E-RAGT) and bodyweight-supported treadmill training (BWST) on cortical activation in individuals with hemiparetic stroke. Twenty-three men and five women aged 53.2 ± 11.2 years were recruited and randomly assigned to participate in E-RAGT (n = 14) or BWST (n = 14) for 30 min/day, 5 days/week, for 4 weeks. Cortical activity, lower limb motor function, and gait speed were evaluated before and after training. Activation of the primary sensorimotor cortex, supplementary motor area, and premotor cortex in the affected hemisphere significantly increased only in the E-RAGT group, although there were no significant between-group differences. Clinical outcomes, including the Fugl-Meyer assessment (FMA), timed up and go test, and 10-m walk test scores, improved after training in both groups, with significantly better FMA scores in the E-RAGT group than in the BWST group. These findings suggest that E-RAGT effectively improves neuroplastic outcomes in hemiparetic stroke, although its superiority over conventional training remains unclear. This may have clinical implications and provides insight for clinicians interested in locomotor neurorehabilitation after hemiparetic stroke. Trial Registration: ClinicalTrials.gov Identifier NCT04054739 (12/08/2019).