Robotic Arm may Help to Rehabilitate Chronic Stroke Victims

New research published in Frontiers in Neurology finds that robotic arm rehabilitation in chronic stroke patients with aphasia, the loss of ability to understand or express speech, may promote speech and language function recovery. Robotic arm rehabilitation is a commonly-used intervention for treating impaired motor function in the arm, wrist, or shoulder subsequent to stroke. The robotic arm rehabilitation in this study targeted the right arm, as the participants had each suffered a left hemisphere stroke leading to a deficit in motor function on their right side. Individuals with left hemisphere strokes affecting motor function are also likely to have deficits in speech and language processing, and the present study investigated whether those individuals may improve in their speech and language performance following treatment aimed at the domain of motor function. The research team observed small but consistent improvement on measures assessing speech articulation and overall language processing in aphasia.

This research was led Adam Buchwald, Associate Professor of Communicative Sciences and Disorders at NYU Steinhardt's School of Culture, Education, and Human Development, as well as Carolyn Falconer-Horne, a recent Ph.D. graduate of the department.

"While this is an initial finding that should be interpreted cautiously, it remains exciting to consider the possibility that stroke rehabilitation in one domain would improve performance in another domain, said Buchwald. "It remains possible that some treatment approaches encourage plasticity and reorganization that can span multiple domains, most likely those with similar neural substrates. Further testing of these combined effects could lead to breakthroughs in our approach to stroke rehabilitation for individuals with complex deficits affecting mobility, speech and language processing, and other cognitive domains."

The research team was assembled following an initial observation by Weill Cornell Medicine's Dylan Edwards, Ph.D., P.T., that participants may be speaking better following 12 weeks of robotic arm treatment. Falconer-Horne, along with Buchwald and Edwards, designed a battery to evaluate possible changes in participant performance that formed the basis of the analyses in this paper.

Buchwald Adam, Falconer Carolyn, Rykman-Peltz Avrielle, Cortes Mar, Pascual-Leone Alvaro, Thickbroom Gary W, Krebs Hermano Igo, Fregni Felipe, Gerber Linda M, Oromendia Clara, Chang Johanna, Volpe Bruce T, Edwards Dylan J.
Robotic Arm Rehabilitation in Chronic Stroke Patients With Aphasia May Promote Speech and Language Recovery (but Effect Is Not Enhanced by Supplementary tDCS).
Front. Neurol., 22 October 2018. doi: 10.3389/fneur.2018.00853

Most Popular Now

Bayer and Google Cloud to Accelerate Dev…

Bayer and Google Cloud announced a collaboration on the development of artificial intelligence (AI) solutions to support radiologists and ultimately better serve patients. As part of the collaboration, Bayer will...

North West Anglia Works with Clinisys to…

North West Anglia NHS Foundation Trust has replaced two, legacy laboratory information systems with a single instance of Clinisys WinPath. The trust, which serves a catchment of 800,000 patients in North...

Can AI Techniques Help Clinicians Assess…

Investigators have applied artificial intelligence (AI) techniques to gait analyses and medical records data to provide insights about individuals with leg fractures and aspects of their recovery. The study, published in...

SPARK TSL Acquires Sentean Group

SPARK TSL is acquiring Sentean Group, a Dutch company with a complementary background in hospital entertainment and communication, and bringing its Fusion Bedside platform for clinical and patient apps to...

AI Makes Retinal Imaging 100 Times Faste…

Researchers at the National Institutes of Health applied artificial intelligence (AI) to a technique that produces high-resolution images of cells in the eye. They report that with AI, imaging is...

Standing Up for Health Tech and SMEs: Sh…

AS the new chair of the health and social care council at techUK, Shane Tickell talked to Highland Marketing about his determination to support small and innovative companies, by having...

GPT-4 Matches Radiologists in Detecting …

Large language model GPT-4 matched the performance of radiologists in detecting errors in radiology reports, according to research published in Radiology, a journal of the Radiological Society of North America...

ChatGPT Extracts Data for Ischaemic Stro…

In an ischaemic stroke, an artery in the brain is blocked by blood clots and the brain cells can no longer be supplied with blood as a result. Doctors must...

Experts Propose Specific and Suited Guid…

Current Artificial Intelligence (AI) models for cancer treatment are trained and approved only for specific intended purposes. GMAI models, in contrast, can handle a wide range of medical data including...

Herefordshire and Worcestershire Health …

Herefordshire and Worcestershire Health and Care NHS Trust has successfully implemented Alcidion's Miya Precision platform to streamline bed management workflow across seven community hospitals in Worcestershire. The trust delivers community...

A Record Year with More than 800 Exhibit…

9 - 11 April 2024, Berlin, Germany. DMEA 2024 kicks off today, focusing on the key issues in the digital transformation of the healthcare system. From now until 11 April over...

New Horizon Europe Funding Boosts Europe…

The European Commission has announced the launch of new Horizon Europe calls, with a substantial funding pool of over €112 million. These calls are aimed primarily at pioneering projects in...