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<p>Isolated REM sleep behavior disorder (iRBD) is a prodromal marker of Parkinson’s disease (PD) and related alpha-synucleinopathies. Identification of RBD is crucial for timely intervention and disease-modifying treatments. While video-polysomnography (vPSG) remains the diagnostic gold standard, its costly and resource-intensive nature limits its utility. This systematic review evaluates emerging non-PSG tools and modalities for home-based RBD detection. A systematic search of PubMed, Web of Science, and Cochrane Library identified 17 studies, categorized into actigraphy devices (<i>n</i> = 9), novel tools (<i>n</i> = 5), and emerging modalities (<i>n</i> = 3). Advances in actigraphy, through machine learning integration, have significantly improved RBD detection. Novel tools, including portable biopotential systems and temporary tattoo electrodes, show promise for home-based REM sleep without atonia monitoring, while contactless cameras demonstrate high sensitivity for dream-enacting behavior detection. Future studies for validation are needed, ensuring reliability and clinical applicability for large-scale screening efforts aimed at identifying individuals at risk for PD and related alpha-synucleinopathies.</p>

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Novel technologies for REM sleep behavior disorder detection for home screening in Parkinson’s disease and related alpha-synucleinopathies

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年7月3日

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  • Kaat Colman,
  • An-Marie Schyvens,
  • Ilse De Volder,
  • Johan Verbraecken,
  • Angelique Pijpers,
  • Mineke Viaene,
  • Wolfgang Oertel,
  • Femke Dijkstra,
  • David Crosiers

摘要

Isolated REM sleep behavior disorder (iRBD) is a prodromal marker of Parkinson’s disease (PD) and related alpha-synucleinopathies. Identification of RBD is crucial for timely intervention and disease-modifying treatments. While video-polysomnography (vPSG) remains the diagnostic gold standard, its costly and resource-intensive nature limits its utility. This systematic review evaluates emerging non-PSG tools and modalities for home-based RBD detection. A systematic search of PubMed, Web of Science, and Cochrane Library identified 17 studies, categorized into actigraphy devices (n = 9), novel tools (n = 5), and emerging modalities (n = 3). Advances in actigraphy, through machine learning integration, have significantly improved RBD detection. Novel tools, including portable biopotential systems and temporary tattoo electrodes, show promise for home-based REM sleep without atonia monitoring, while contactless cameras demonstrate high sensitivity for dream-enacting behavior detection. Future studies for validation are needed, ensuring reliability and clinical applicability for large-scale screening efforts aimed at identifying individuals at risk for PD and related alpha-synucleinopathies.