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関連する概念動画

Substance Use Disorders Affecting Sleep01:24

Substance Use Disorders Affecting Sleep

397
Substance use disorders involve a pattern of using drugs more extensively than intended and continuing use despite harmful consequences. This includes legal substances like alcohol and nicotine, as well as illegal drugs. These disorders often involve both physical and psychological dependence, reflecting compulsive use of substances that significantly alter thoughts, feelings, and behaviors, contributing to a major public health issue.
Understanding the concepts of physical dependence,...
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Understanding Sleep01:11

Understanding Sleep

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Sleep, an essential biological state, involves significant reductions in physical activity, sensory awareness, and interaction with the environment. This complex physiological process is primarily regulated by specific brain regions, notably the hypothalamus and pons, which govern the sleep-wake cycle or circadian rhythm.
The circadian rhythm, a nearly 24-hour cycle, is deeply influenced by environmental light cues. Light exposure directly affects the hypothalamus, which in turn regulates...
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REM Sleep Behavior Disorder01:15

REM Sleep Behavior Disorder

1.3K
REM Sleep Behavior Disorder (RBD) is a sleep disorder characterized by the absence of muscle paralysis that normally occurs during the REM phase of sleep. This absence allows individuals to physically act out their dreams, which are often vivid and disturbing. Common behaviors exhibited during episodes include kicking, punching, and yelling. These actions can be dangerous, potentially leading to injuries for the person with RBD or their bed partner.
RBD is significantly associated with...
1.3K
Classification of Illness01:17

Classification of Illness

8.5K
The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe...
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Narcolepsy01:07

Narcolepsy

482
Narcolepsy is a chronic sleep disorder characterized by pervasive, uncontrolled sleepiness and other sleep disturbances. One of its hallmark symptoms is an abrupt transition to REM sleep upon falling asleep, which causes symptoms typically associated with this phase to occur unexpectedly during wakefulness. These include the following symptoms, which typically last from a minute or two to half an hour.
482
Insufficient Sleep and Sleep Deprivation01:13

Insufficient Sleep and Sleep Deprivation

823
Insufficient sleep refers to not getting the recommended amount of sleep for optimal functioning, even if it's just slightly less than needed. Sleep insufficiency may occur due to lifestyle choices, such as staying up late for social events or work, resulting in routinely getting less sleep than required. For example, consistently sleeping 6 hours when the body needs 7-9 hours can lead to cumulative effects on health and well-being.
Sleep deprivation is a more severe form of sleep loss...
823

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Updated: Jan 13, 2026

Multi-Modal Home Sleep Monitoring in Older Adults
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疾患予測のためのマルチモーダル睡眠基盤モデル

Rahul Thapa1,2, Magnus Ruud Kjaer3,4,5, Bryan He2

  • 1Department of Biomedical Data Science, Stanford University, Stanford, CA, USA.

Nature medicine
|January 6, 2026
PubMed
まとめ

新しい基盤モデルであるSleepFMは、睡眠データを分析して、1回の睡眠から死亡率や認知症を含む130以上の疾患を予測します。これは、健康と疾患予測における睡眠の役割の理解を進歩させます。

キーワード:
睡眠基盤モデル疾患予測マルチモーダル人工知能機械学習健康医学ポリソムノグラフィー健康リスク評価

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A Chronic Sleep Fragmentation Model using Vibrating Orbital Rotor to Induce Cognitive Deficit and Anxiety-Like Behavior in Young Wild-Type Mice
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Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
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A Chronic Sleep Fragmentation Model using Vibrating Orbital Rotor to Induce Cognitive Deficit and Anxiety-Like Behavior in Young Wild-Type Mice
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科学分野:

  • 生物医学情報学
  • 睡眠医学
  • 人工知能

背景:

  • 睡眠は健康に不可欠ですが、疾患との関連は複雑であり、ポリソムノグラフィー（PSG）データは十分に活用されていません。
  • 既存のPSG分析方法には、標準化、一般化可能性、マルチモーダルデータ統合に関する課題があります。

研究 の 目的:

  • PSG分析の限界を克服するためのマルチモーダル睡眠基盤モデル（SleepFM）を開発すること。
  • 睡眠データを使用した将来の疾患リスクを正確に予測できるようにすること。

主な方法:

  • マルチモーダルPSGデータのために新しい対照学習アプローチを使用してSleepFMを開発しました。
  • 約65,000人の参加者からの585,000時間以上のPSG記録でトレーニングしました。
  • 疾患予測と転移学習のために潜在的な睡眠表現を利用しました。

主要な成果:

  • SleepFMは、死亡率、認知症、心筋梗塞、慢性腎臓病を含む130の疾患を正確に予測します（C指数≥0.75）。
  • 独立したデータセットで強力な転移学習能力を実証しました。
  • 睡眠段階分類および睡眠時無呼吸分類の専門モデルと比較して、競争力のあるパフォーマンスを達成しました。

結論:

  • 基盤モデルは、マルチモーダル睡眠記録から効果的に学習できます。
  • SleepFMは、スケーラブルでラベル効率の良い睡眠分析と疾患予測を可能にします。
  • このアプローチは、身体的および精神的健康に対する睡眠の影響の理解を深めます。