Clinical Research Directory

Effects of Dual Task-Oriented Circuit Training on Walking Recovery in Sub-acute Stroke

This pilot study aims to assess the feasibility, safety, and initial efficacy of an integrated Dual Task-Oriented Circuit Training (DTOCT) program for individuals in the subacute phase of stroke recovery. Although numerous patients recover the capacity to walk in a regulated hospital environment, they frequently encounter difficulties with "community ambulation," the capability to traverse real-world settings while multitasking (e.g., walking while conversing or circumventing barriers). This study will examine if the integration of high-intensity circuit training with cognitive difficulties can promote neuroplasticity and enhance the patient's capacity to safely traverse intricate daily settings.

The REACTplusNMES Trial: A Double-blinded RCT

The aim of this study is to compare the effectiveness of 6-weeks of reactive balance training (REACT) with and without neuromuscular electrical stimulation (NMES) to paretic lower limb muscles on biomechanical, clinical, neuromuscular and neuroplastic outcomes of reactive balance control. This project is a Phase-I study and incorporates a double-blinded, randomized controlled trial design. Methods: Forty-six individuals with chronic stroke will be recruited and screened for determining their eligibility for the study. Once enrolled, they will be randomized into either of the two groups: intervention group (23 participants) and control group (23 participants). Both groups will undergo series of pre-training assessments which includes a postural disturbance in the form of a slip- or trip-like perturbations and walking tests in laboratory environment. After the pre-training assessment, individuals will undergo 6-weeks of training (2 hour per session, 2 sessions per week). The intervention group will receive NMES with the REACT training and the control group will receive ShamNMES. NMES will be applied to the different muscle groups of the paretic lower limb using an advanced software which is able to synchronize muscle activation with the time of perturbation onset and according to the phases of gait. After training, both groups will again be tested on all the assessments performed pre training. This study will help us understand the immediate therapeutic and mechanistic effects of REACT+NMES and inform stroke rehabilitation research and clinical practice. Our study will provide foundational evidence for future use of NMES to implement clinically applicable neuromodulation adjuvants to reactive balance training, which could be leveraged for designing more effective future interventions for fall-risk reduction.

Enhancing Language Function in Aphasia

Aphasia is an acquired impairment of language, that commonly results from damage to language areas in the brain (typically the left side of the brain). This impairment is seen in many aspects of language, including understanding, speaking, reading and writing. It is estimated that about 2 million individuals are currently living with aphasia in the United States. Further, about 200,000 Americans acquire aphasia every year (National Aphasia Association, 2020). Aphasia poses significant impact on the affected individuals and their families. Behavioral treatments that target language deficits have been shown to enhance overall communication skills and life satisfaction among individuals with aphasia. Although there is evidence that suggests that treatment is efficacious for individuals with aphasia, the extent of improvement long-term coupled with the neural patterns among those individuals are largely unknown. The current study aims to investigate the efficacy of language-based treatment and its corresponding neural patterns.

Clinical Development of a Tool for Optimized Self- and Hetero-diagnosis of Stroke Using Artificial Intelligence: Stage1- Collection of Video-clinical Data in a Pragmatic Situation.

The study authors aim to form a collection of video-clinical data in a pragmatic situation to enable the development of relevant AI algorithms (for both hetero- and self-diagnosis modes). The aim is to optimize management through early diagnosis (self- and hetero-diagnosis) and thus to reduce sequelae disability. The study authors hypothesize that some stroke patients will be able to successfully perform a self-test consisting of a few exercises dictated by an application on a smartphone or tablet and recorded on video.