Continuous at‐home monitoring of sleep behavior in frontotemporal lobar degeneration
Findings demonstrate the feasibility of long-term, non-invasive nighttime behavior monitoring using bed sensors, highlighting their utility to monitor disease progression in FTD. Further research is needed to explore the underlying mechanisms of sleep disturbances in FTD and develop targeted interventions to improve sleep and subsequent quality of life for individuals with FTD.
Authors
- Adam M. Staffaroni (ORCID: https://orcid.org/0000-0002-3903-9805)
- Adam L. Boxer (ORCID: https://orcid.org/0000-0002-1215-5064)
- Zachary Beattie (ORCID: https://orcid.org/0000-0002-4844-7122)
- Amy B. Wise (ORCID: https://orcid.org/0009-0000-8828-456X)
- Rowan Saloner (ORCID: https://orcid.org/0000-0002-1351-6183)
- Howard J. Rosen (ORCID: https://orcid.org/0000-0001-9281-7402)
- Mario F. Mendez (ORCID: https://orcid.org/0000-0001-6441-7989)
- Emily W. Paolillo (ORCID: https://orcid.org/0000-0003-4188-6998)
- Anjali Sadarangani
- Maria Luisa Gorno Tempini
- Sreya Dhanam
- Jeffrey A Kaye
- Wan‐Tai Michael Au‐Yeung
- William W. Seeley
- Kaitlin B Casaletto
- Christine M Walsh
Institutions
- University of California, Los Angeles (US)
- Oregon Health & Science University (US)
- University of California, San Francisco (US)
- University Memory and Aging Center (US)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70857_104745
- Primary Topic
- Sleep and related disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00