Effect of Artificial Intelligence Based Cognitive Training on Sleep Disorders and Quality of Life in Patients With Multiple Sclerosis (AI)
2026年8月8日 更新者：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.
調査の概要
状態
まだ募集していません
条件
詳細な説明
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 .
研究の種類
介入
入学 (推定)
40
段階
- 適用できない
連絡先と場所
このセクションには、調査を実施する担当者の連絡先の詳細と、この調査が実施されている場所に関する情報が記載されています。
研究連絡先
- 名前：rania hamed, master
- 電話番号：01112084518
- メール：Raniahamed542@gmail.com
参加基準
研究者は、適格基準と呼ばれる特定の説明に適合する人を探します。これらの基準のいくつかの例は、人の一般的な健康状態または以前の治療です。
適格基準
就学可能な年齢
- 大人
健康ボランティアの受け入れ
いいえ
説明
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.
研究計画
このセクションでは、研究がどのように設計され、研究が何を測定しているかなど、研究計画の詳細を提供します。
研究はどのように設計されていますか？
デザインの詳細
- 主な目的：処理
- 割り当て：ランダム化
- 介入モデル：並列代入
- マスキング：独身
武器と介入
参加者グループ / アーム |
介入・治療 |
|---|---|
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実験的：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
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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
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アクティブコンパレータ：designed physical-therapy program
Twenty patients with multiple sclerosis will receive a designed physical-therapy program 3 times per week for 8 weeks)
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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
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この研究は何を測定していますか？
主要な結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
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sleep disability
時間枠：up to eight weeks
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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
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up to eight weeks
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daytime sleepiness
時間枠：up to eight weeks
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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
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up to eight weeks
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二次結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
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cognitive disability
時間枠：up to eight weeks
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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.
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up to eight weeks
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oxygen saturation
時間枠：up to eight weeks
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A smartwatch will be used to assess oxygen saturation.
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up to eight weeks
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heart rate
時間枠：up to eight weeks
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A smartwatch will be used to assess heart rate
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up to eight weeks
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life disability
時間枠：up to eight weeks
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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.
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up to eight weeks
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fatigue severity
時間枠：up to eight weeks
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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
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up to eight weeks
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協力者と研究者
ここでは、この調査に関係する人々や組織を見つけることができます。
スポンサー
研究記録日
これらの日付は、ClinicalTrials.gov への研究記録と要約結果の提出の進捗状況を追跡します。研究記録と報告された結果は、国立医学図書館 (NLM) によって審査され、公開 Web サイトに掲載される前に、特定の品質管理基準を満たしていることが確認されます。
主要日程の研究
研究開始 (推定)
2026年8月20日
一次修了 (推定)
2027年3月30日
研究の完了 (推定)
2027年3月30日
試験登録日
最初に提出
2026年8月5日
QC基準を満たした最初の提出物
2026年8月8日
最初の投稿 (実際)
2026年8月13日
学習記録の更新
投稿された最後の更新 (実際)
2026年8月13日
QC基準を満たした最後の更新が送信されました
2026年8月8日
最終確認日
2026年8月1日
詳しくは
本研究に関する用語
追加の関連 MeSH 用語
その他の研究ID番号
- P.T.REC/012/006521
医薬品およびデバイス情報、研究文書
米国FDA規制医薬品の研究
いいえ
米国FDA規制機器製品の研究
いいえ
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