1. What data in particular will be shared?
   Response - Individual participant data that underlie the results reported in this article, after de-identification (text, tables, figures, and appendices).
   


2. What additional supporting information will be shared?
   Response -  Study Protocol
   Response -  Statistical Analysis Plan
   Response - Informed Consent Form
   Response - Clinical Study Report
   Response -  Analytic Code
   
   
3. Who will be able to view these files?
   Response - Anyone
   


4. For what types of analyses will this data be available?
   Response - Any purpose.
   


5. By what mechanism will data be made available?
   Response - Data are available indefinitely at (Link to be included ctri.nic.in).
   


6. For how long will this data be available start date provided 15-12-2026 and end date provided 15-01-2035?
   Response - Beginning 3 months and ending 5 years following article publication.
   


7. Any URL or additional information regarding plan/policy for sharing IPD? 
   Additional Information - NIL

Stroke is a leading cause of acquired adult disability, with around 80% of persons with stroke suffering from upper limb (UL) motor impairments. Among them, only a small percentage (12%) of persons achieve full arm function following UL rehabilitation training, which highlights the need for further research in this area.

The extent of UL impairment in stroke is one of the independent determinants of basic activities of daily living (ADL), so improving UL motor function is one of the central areas to focus on. Studies have reported many therapeutic techniques for UL training. Among them, two techniques, constraint-induced movement therapy (CIMT) and other robot-assisted movement therapy (RAMT), have demonstrated better outcomes compared to other existing options. Both these techniques aim to improve UL function by the neural plasticity principle through repetitive task-specific training.

It is already well established that robotic training has the capacity to provide a greater number of repetitions in a particular task-specific activity. The robotic training can provide more motivation and keep people engaged in task-specific training.  However, this robotic training has limitations. The task-activity training is being given in an artificial, mechanized environment. Therefore, the improvement achieved during an artificial, mechanized environment may fail to translate into a realistic environment.

Studies have reported that restraining the healthy/less-affected arm during forced-movement training of the impaired arm has a more beneficial effect than forced, repeated use of the impaired UL without restraint. The CIMT training involves restraining the less-impaired UL during most waking hours. Compared to forced-use, the CIMT training causes better white matter integrity. The CIMT training promotes better angiogenesis, nerve regeneration, and nerve function recovery. However, the main disadvantage of CIMT training is that CIMT training cannot precisely control the movement pattern during task-specific activity training and fails to keep the person motivated throughout the training period. In contrast, RA-MT provides continuous training with correct movement patterns and visual stimulation/feedback through exergaming technology, which helps the person to keep engaged in training.

To address the limitations of each technique, we propose a new therapeutic approach, robot-assisted modified constraint movement therapy (RA-mCIMT), which combines the principles of CIMT and RA-MT. This new technique involves structured, functional movement training with the robot instead of therapist-assisted UL training during CIMT therapy for one hour, with the healthy/less impaired UL restrained during the robotic training and most waking time. By combining the strengths of CIMT and RAMT, we assume that RA-mCIMT training will provide better motor recovery than mCIMT in UL following stroke.