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

Cairo University (CU)

Status: Not yet enrolling

Conditions: Stroke

Treatments: Other: conventional therapy; Other: AI gamification

Study type: Interventional

Funder types: Other

Identifiers

NCT07209592

P.T.REC/012/005963

Details and patient eligibility

About

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

Full 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.

Enrollment: 40 estimated patients

Sex: All

Ages: 45 to 60 years old

Volunteers: No Healthy Volunteers

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

Trial design

Primary purpose: Treatment

Allocation: Randomized

Interventional model: Parallel Assignment

Masking: Single Blind

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40 participants in 2 patient groups

AI gamification

Experimental group

Description:

twenty patients will receive cognitive tasks accompanied by cognitive-driven motor tasks by AI gamification plus conventional therapy three times per weeks for four weeks

Treatment:

Other: AI gamification

Other: conventional therapy

conventional therapy

Active Comparator group

Description:

twenty patients will receive conventional therapy exercises three times per weeks for four weeks

Treatment:

Other: conventional therapy