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Effect of Artificial Intelligence Based Cognitive Training on Sleep Disorders and Quality of Life in Patients With Multiple Sclerosis (AI)

2026년 8월 8일 업데이트: Rania Hamed Rashad Ahmed, Cairo University
this study will be conducted to investigate the effect of artificial intelligence (AI) based cognitive training on sleep disorders and quality of life in patients with multiple sclerosis.

연구 개요

상태

아직 모집하지 않음

정황

개입 / 치료

상세 설명

Multiple sclerosis (MS) is a chronic progressive inflammatory autoimmune neurodegenerative disease of central nervous system (CNS) and it is considered to be the most prevalent neurological disability of young adults, often leads to severe physical or cognitive incapacitation. The severity of disability in MS patients is increased not only by motor disorders and other neurological deficit, but by the presence of cognitive impairment (CI), psycho-emotional disorders, like anxiety and/or depression, and sleep disorders (SD). Cognitive dysfunction is one of the most common and consequential symptoms of MS. Impairments in processing speed, working memory, learning, executive function, visuospatial processing, and language function affect an estimated 42% to70% of individuals with MS, and constitute a major cause of loss of employment and reduced quality of life. Despite its high prevalence and effect, there are no definitive treatments for cognitive dysfunction in MS, and the identification of appropriate strategies to improve cognition in MS is hindered by a poor understanding of modifiable factors that may influence its severity. AI is playing a significant role in harnessing neuroplasticity for cognitive enhancement through innovative applications such as cognitive training programs.These programs, driven by machine learning algorithms, can adapt to individual user performance, providing personalized training that optimizes cognitive functions such as memory, attention, and problem-solving .

연구 유형

중재적

등록 (추정된)

40

단계

  • 해당 없음

연락처 및 위치

이 섹션에서는 연구를 수행하는 사람들의 연락처 정보와 이 연구가 수행되는 장소에 대한 정보를 제공합니다.

연구 연락처

참여기준

연구원은 적격성 기준이라는 특정 설명에 맞는 사람을 찾습니다. 이러한 기준의 몇 가지 예는 개인의 일반적인 건강 상태 또는 이전 치료입니다.

자격 기준

공부할 수 있는 나이

  • 성인

건강한 자원 봉사자를 받아들입니다

아니

설명

Inclusion Criteria:

  • Patient's age ranges from 25-40 years.
  • Patient with EDSS not more than 5.
  • Patients who have no relapses for the previous three months.
  • Patients with sufficient cognitive abilities that enables them to understand and follow
  • instructions with a score more than 24 according to the Mini-Mental State Examination scale

Exclusion Criteria:

  • Mechanical or neuromascular problems.
  • Cardiovascular problems (unstable angina, recent myocardial infarction within the last three months, congestive heart failure, significant heart valve dysfunction, or unstable hypertension) or pulmonary disorders.
  • Auditory problems.
  • Sensory impairment caused by other diseases except the MS such as diabetes mellitus.

공부 계획

이 섹션에서는 연구 설계 방법과 연구가 측정하는 내용을 포함하여 연구 계획에 대한 세부 정보를 제공합니다.

연구는 어떻게 설계됩니까?

디자인 세부사항

  • 주 목적: 치료
  • 할당: 무작위
  • 중재 모델: 병렬 할당
  • 마스킹: 하나의

무기와 개입

참가자 그룹 / 팔
개입 / 치료
실험적: cognitive Therapy by artificial intillegence
Twenty patients with multiple sclerosis will receive a cognitive therapy by Lumosity application in addition to a designed physical-therapy program 3 times per week for 8 weeks
The patients will receive cognitive therapy by an artificial intelligence application called Lumosity. Lumosity is an online cognitive training that can incredibly engage the individual's innate neuroplasticity, making the person smarter. Perhaps Lumosity training actually increases the release of dopamine, the neurochemical that is very crucial for many brain functions, and the puls-designed physical therapy program
Patients will receive designed physical-therapy program in the form of sleep and bedtime restrictions, stimulus control instructions, education for sleep and promoting good sleep habits (or sleep hygiene), teaching relaxation skills
활성 비교기: designed physical-therapy program
Twenty patients with multiple sclerosis will receive a designed physical-therapy program 3 times per week for 8 weeks)
Patients will receive designed physical-therapy program in the form of sleep and bedtime restrictions, stimulus control instructions, education for sleep and promoting good sleep habits (or sleep hygiene), teaching relaxation skills

연구는 무엇을 측정합니까?

주요 결과 측정

결과 측정
측정값 설명
기간
sleep disability
기간: up to eight weeks
Pittsburgh Sleep Quality Index will be used to assess sleep disability. it gives impression on sleep quality, sleep latency, sleep duration, usual sleep efficiency, sleep disturbances, use of sleeping medication, and daytime dysfunction over one month, The sum of scores for these seven components yields one global score. Scoring of the answers is based on a 0 to 3 scale and a global sum equal or larger than 5 indicates a "poor" sleeper
up to eight weeks
daytime sleepiness
기간: up to eight weeks
Epworth Sleepiness Scale will be used to assess daytime sleepiness. It measures the general level of daytime sleepiness it is composed of 8 items to rate on a 4 -point scale (0-3). A higher score indicates higher level of daytime sleepiness. Using a cut-off score > 10, it is possible to identify individuals with excessive daytime sleepiness. Scores >16 indicates ever sleepiness
up to eight weeks

2차 결과 측정

결과 측정
측정값 설명
기간
cognitive disability
기간: up to eight weeks
CogniFit will be used to assess cognitive function. it is a digital health platform offering computerized cognitive assessments and interventions for users, researchers, and practitioners. The CogniFit cognitive score is an aggregate measure of your brain's performance across 20 more different cognitive skills. The scale ranges from a minimum of 0 to a maximum of 800, evaluated against normalized data matched to your specific age and gender. 0 - 200 (Red): Below average for your age and sex; highlights a cognitive weakness. 200 - 400 (Yellow): Low range, but still within the normal average and open to improvement. 400-600 (Green): High score within the average; indicates good condition relative to peers.600-800 (Green): Above average; signals a distinct cognitive strength or skil.
up to eight weeks
oxygen saturation
기간: up to eight weeks
A smartwatch will be used to assess oxygen saturation.
up to eight weeks
heart rate
기간: up to eight weeks
A smartwatch will be used to assess heart rate
up to eight weeks
life disability
기간: up to eight weeks
World Health Organization Quality of Life Assessment Brief will be used to assess life disability. it has a four-domain structure which are physical health, psychological domain, social domain and environmental domain to provide a short-form quality of life assessment. Subjects rated all items on a 5-point Likert-type scale. Raw scores for the domains of WHOQOL-BREF were calculated by adding values of single items and were transformed on the scale ranging from 0 to 100 where 100 is the highest and 0 the lowest.
up to eight weeks
fatigue severity
기간: up to eight weeks
The fatigue severity scale FSS will be used to assess fatigue severity. it is a self-report scale with nine items that assess the degree of physical fatigue over the previous week. The Fatigue Severity Scale (FSS) is scored by adding the answers to 9 questions and finding the total sum or the average mean. Each question uses a 7-point scale from 1 (strongly disagree) to 7 (strongly agree) based on the past week. Add all 9 numbers together. The total score ranges from 9 to 63.Divide the total sum by 9. The average score ranges from 1.0 to 7.0.a higher score indicates more severity
up to eight weeks

공동 작업자 및 조사자

여기에서 이 연구와 관련된 사람과 조직을 찾을 수 있습니다.

스폰서

연구 기록 날짜

이 날짜는 ClinicalTrials.gov에 대한 연구 기록 및 요약 결과 제출의 진행 상황을 추적합니다. 연구 기록 및 보고된 결과는 공개 웹사이트에 게시되기 전에 특정 품질 관리 기준을 충족하는지 확인하기 위해 국립 의학 도서관(NLM)에서 검토합니다.

연구 주요 날짜

연구 시작 (추정된)

2026년 8월 20일

기본 완료 (추정된)

2027년 3월 30일

연구 완료 (추정된)

2027년 3월 30일

연구 등록 날짜

최초 제출

2026년 8월 5일

QC 기준을 충족하는 최초 제출

2026년 8월 8일

처음 게시됨 (실제)

2026년 8월 13일

연구 기록 업데이트

마지막 업데이트 게시됨 (실제)

2026년 8월 13일

QC 기준을 충족하는 마지막 업데이트 제출

2026년 8월 8일

마지막으로 확인됨

2026년 8월 1일

추가 정보

이 연구와 관련된 용어

기타 연구 ID 번호

  • P.T.REC/012/006521

약물 및 장치 정보, 연구 문서

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아니

미국 FDA 규제 기기 제품 연구

아니

이 정보는 변경 없이 clinicaltrials.gov 웹사이트에서 직접 가져온 것입니다. 귀하의 연구 세부 정보를 변경, 제거 또는 업데이트하도록 요청하는 경우 register@clinicaltrials.gov. 문의하십시오. 변경 사항이 clinicaltrials.gov에 구현되는 즉시 저희 웹사이트에도 자동으로 업데이트됩니다. .