Exploring the feasibility of modeling next-day fatigue and sleepiness using digital sleep tracker data in neurodegenerative and immune-mediated inflammatory diseases - Summary - MDSpire

Exploring the feasibility of modeling next-day fatigue and sleepiness using digital sleep tracker data in neurodegenerative and immune-mediated inflammatory diseases

  • By

  • Bing Zhai

  • Luan Chen

  • Xujun Ma

  • Clémence Pinaud

  • Meenakshi Chatterjee

  • Juha M. Kortelainen

  • Rana Zia Ur Rehman

  • Teemu Ahmaniemi

  • Stefan Avey

  • Yu Guan

  • Victoria Macrae

  • Chloe Hinchliffe

  • Silvia Del Din

  • Nikolay V. Manyakov

  • Robert Göder

  • Robbin Romijnders

  • Walter Maetzler

  • Ralf Reilmann

  • Svenja Aufenberg

  • Robin Schubert

  • C. Janneke van der Woude

  • Daqing Zhang

  • Wan-Fai Ng

  • June 17, 2026

  • 0 min

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Objective:

To evaluate the feasibility of using consumer- and research-grade sleep trackers to predict next-day fatigue and sleepiness in individuals with neurodegenerative diseases (NDDs) and immune-mediated inflammatory diseases (IMIDs).

Approach:
    Key Findings:
    • Sleep trackers showed moderate agreement with polysomnography (PSG).
    • Models demonstrated preliminary discriminative capacity for next-day physical fatigue in healthy adults (AUC 0.75).
    • In NDD, physical fatigue AUC reached 0.62, with REM latency and deep sleep as key features.
    • Mental fatigue prediction reached AUC 0.66 in healthy adults; daytime sleepiness AUC 0.66 in NDD.
    Interpretation:

    Findings should be interpreted as exploratory, as outcome binarisation may conflate between-person disease-group differences with within-person symptom variation.

    Limitations:
    • Predictive performance in chronic disease cohorts remains limited.
    • The study highlights the need for larger, multimodal studies to establish disease-specific digital fatigue endpoints.
    Conclusion:

    Wearable sleep trackers show feasibility for objective home-based sleep monitoring, with preliminary evidence supporting sleep physiology as a candidate predictor of next-day physical fatigue in healthy adults.

Original Source(s)

Exploring the feasibility of modeling next-day fatigue and sleepiness using digital sleep tracker data in neurodegenerative and immune-mediated inflammatory diseases

  • by Bing Zhai, Luan Chen, Xujun Ma, Clémence Pinaud, Meenakshi Chatterjee, Juha M. Kortelainen, Rana Zia Ur Rehman, Teemu Ahmaniemi, Stefan Avey, Yu Guan, Victoria Macrae, Chloe Hinchliffe, Silvia Del Din, Nikolay V. Manyakov, Robert Göder, Robbin Romijnders, Walter Maetzler, Ralf Reilmann, Svenja Aufenberg, Robin Schubert, C. Janneke van der Woude, Daqing Zhang, Wan-Fai Ng

  • June 17, 2026

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