Effect of Artificial Intelligence Based Gamification Training on Cognition and Functional Outcomes in Patients With Stroke

Not Applicable

Not yet recruiting

• Conditions: Stroke

• Registration Number: NCT07209592
• Lead Sponsor: Cairo University

Brief Summary

this study will be conducted to investigate the effect of artificial intelligence based gamification training on cognition and functional outcomes in patients with stroke

Detailed Description

Stroke is a neurological disorder characterized by blockage of blood vessels. Clots form in the brain and interrupt blood flow, clogging arteries and causing blood vessels to break, leading to bleeding. Rupture of the arteries leading to the brain during stroke results in the sudden death of brain cells owing to a lack of oxygen. Stroke can also lead to depression and dementia.Cognitive impairment refers to a broad range of deficits in cognitive function, including memory, attention, executive function, language, and visuo-spatial skills. Understanding the connection between stroke and cognitive impairment is crucial for effectively managing symptoms and improving stroke survivors' quality of life.Gamified interventions outperformed conventional therapies in reducing task, completion time , Sustained Engagement. AI-driven adaptive systems, such as the Bright Brainer Grasp (BBG) controller, increased patient motivation by dynamically adjusting difficulty levels based on real-time performance reducing caregiver oversight. BCI and Gamification Synergy , Brain-Computer Interface (BCI) systems combined with gamified tasks (e.g., CoWMeG) improved upper limb motor function. Motor Imagery: Enhanced neural plasticity through imagined movements .Mirror Neuron Activation: Visual feedback from avatars reinforced motor learning..Therefore this study will be designed to investigate the effect of gamification AI based training on cognition in patients with stroke.

Study Timeline

• Status Verified: 2025-09
• Study First Submitted: 2025-09-29
• Study First Submitted QC: 2025-09-29
• Last Update Submitted: 2025-09-29
• Study First Posted: 2025-10-07
• Last Update Posted: 2025-10-07
• Study Start: 2025-10-15
• Primary Completion: 2026-06-30
• Study Completion: 2026-06-30

Recruitment & Eligibility

• Status: NOT_YET_RECRUITING
• Sex: All
• Target Recruitment: 40

Inclusion Criteria

• Forty hemiplegic patients with mild post stroke cognitive impairment.
• The patients age will be 45 to 60.
• Chronic stroke (6 months post-stroke).
• Score of 1 to 1+ to points on the Modified Ashworth Scale (MAS) on upper limb (shoulder , elbow ,hand).
• Stage of recovery 4-5 brunnstrom
• Essential educational level ( at least high school level)
• BMI will be ranged from 18,5 -24.9 kg\m2

Exclusion Criteria

• Moderate and severe post stroke cognitive impairment
• Excluding cognitive impairment for any other psychological or neurological disease such as depression and dementia
• history of recent upper limb surgery
• Any musculoskeletal disorders of upper extremity (e.g fractures or injuries)
• Having a heart pacemaker, pregnancy
• Other neurological diseases or cancer
• Hormonal disturbances

Study & Design

• Study Type: INTERVENTIONAL
• Study Design: PARALLEL

Primary Outcome Measures

Name	Time	Method
cognitive disability	up to four weeks	cognition will be measured by Smart phone- based cognitive assessement allows older adults to be more engaged in cognitive screening and monitoring both inside and outside the clinic. It provide advantages over the traditional cognitive testing such as cost ,time saving, more detailed response metric recordings, automated data collection and scoring.
upper limb function	up to four weeks	Wolf Motor Functional scale will be used for assessment of upper limb function.The original version of the WMFT consisted of 21 items. The widely used version of the WMFT consists of 17 items .It is composed of three parts namely, time, functional ability (items 1-6) and strength (items 7-14). Remaining 9 items involves analysing movement quality when completing various tasks. The less affected side is tested first, followed by the affected limb. The following tasks should be completed as quickly as possible, with a 120-second time limit.
handgrip strength	up to four weeks	A handheld dynamometer will be used for assessing hand grip strength
kinetic motion analysis	up to four weeks	X - Box kinetic motion sensor devcie will be used for assessing motion analysis