Evidence map›Paper›PMID 40285380›Full record

ReviewAlzheimer's & dementia : the journal of the Alzheimer's Association2025

Developing digital health technologies for frontotemporal degeneration.

Naomi Nevler, Debra Niehoff, Amanda M Gleixner, Shana Dodge, Adam P Vogel, Derek L Hill, Simon Ducharme, Adam M Staffaroni, Yana Yunusova, Rhoda Au and 10 more

Abstract readReview
In one paragraph

Review in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Developing digital health technologies for frontotemporal degeneration.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Review
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Naomi NevlerFrontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Debra NiehoffThe Association for Frontotemporal Degeneration, King of Prussia, Pennsylvania, USA.
Amanda M GleixnerThe Association for Frontotemporal Degeneration, King of Prussia, Pennsylvania, USA.
Shana DodgeThe Association for Frontotemporal Degeneration, King of Prussia, Pennsylvania, USA.
Adam P VogelSchool of Health Sciences, The University of Melbourne, Parkville, Victoria, Australia.
Derek L HillMedical Physics and Biomedical Engineering, University College London, London, UK.
Simon DucharmeDepartment of Psychiatry, Douglas Mental Health University Institute and Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada.
Adam M StaffaroniMemory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, California, USA.
Yana YunusovaDepartment of Speech-Language Pathology, Rehabilitation Sciences Institute, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Rhoda AuDepartment of Anatomy and Neurobiology, Neurology, Medicine and Epidemiology, Boston University Chobanian & Avedisian School of Medicine and School of Public Health, Boston, Massachusetts, USA.
Brian MacwhinneyDepartment of Psychology, 346 Baker Hall, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.
Bonnie WongMassachusetts General Hospital Frontotemporal Disorders Unit, Harvard Medical School, Charlestown, Massachusetts, USA.
Julia Parish-MorrisDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Andrew GeronimoDepartments of Neurology and Neurosurgery, Penn State College of Medicine, Hershey, Pennsylvania, USA.
Bryan J HansenJanssen Research & Development, LLC, a Johnson & Johnson company, Raritan, New Jersey, USA.
Zachary T BeattieOregon Center for Aging & Technology, Department of Neurology, Oregon Health & Science University, Portland, Oregon, USA.
Diane T StephensonCritical Path for Parkinson's Consortium- Critical Path Institute, Tucson, Arizona, USA.
Adam L BoxerMemory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, California, USA.
Penny DacksThe Association for Frontotemporal Degeneration, King of Prussia, Pennsylvania, USA.
Jonathan D RohrerDementia Research Centre, Department of Neurodegenerative Disease, Queen Square Institute of Neurology, University College London, Box 16, National Hospital for Neurology and Neurosurgery, London, UK.

Funding

Technology and Remote Assessment CoreU19AG063911 · NIA · MAYO CLINIC ROCHESTER · PI Bradley F Boeve · 2019 to 2026
$120.9M
Research Education ComponentP30AG066518 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI Zachary Beattie · 2020 to 2026
$28.6M
Resource CoreU2CAG054397 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI KAYE, JEFFREY A · 2016 to 2019
$7.0M
Characterizing Older Mexican (American) Participation in Activity Digitally, Reliably, and Ecologically with the CART Platform (COMPADRE CART): Implications for Cognition and ADRDR01AG077472 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Zachary Beattie, Mitzi Michelle Gonzales · 2022 to 2026
$3.8M
Validating remote digital assessments for familial frontotemporal dementiaRF1AG077557 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI STAFFARONI, ADAM MARK · 2022 to 2022
$2.4M
Optimizing Clinical Trial Endpoints in Frontotemporal DementiaK23AG061253 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI STAFFARONI, ADAM MARK · 2019 to 2023
$946k
Alzheimer's Drug Discovery Foundation 201902-2017835American Heart Association 20SFRN35360180Association for Frontotemporal DegenerationBluefield Project to Cure FTDDepartment of Defense W81XWH-20-1-0531Fond de recherche du Québec - SantéGates VenturesNIA NIH HHS 1K99AG073510-01NIA NIH HHS AG062109NIA NIH HHS AG068753NIA NIH HHS AG07265NIA NIH HHS K23AG061253NIA NIH HHS P30 AG066518NIA NIH HHS P30AG066518NIA NIH HHS R01AG077472NIA NIH HHS RF1AG077557NIA NIH HHS U19AG063911NIA NIH HHS U2CAG054397Rainwater Charitable FoundationVeteran's Health Administration Research and Development No. IIR 17-144
6 · The paper itself

Abstract

Frontotemporal degeneration (FTD) is a rare neurodegenerative disease in which patients can present with cognitive, behavioral, motor, and speech impairment. Currently, there are no approved therapies available to slow or halt disease progression. Detection and monitoring of patient symptoms is challenging for this heterogeneous disease and has negatively impacted progress in FTD clinical trials. Rapid technological advancements can promote the development of digital health technologies (DHTs) capable of capturing even the most subtle clinical impairments. DHTs are computing platforms being designed to measure meaningful aspects of disease onset and progression. Here we present some of the numerous tools currently being developed to measure changes in the functional domains that become impaired in FTD, challenges faced by developers, and a proposed roadmap for developing fit-for-purpose DHTs that will aid in the development of effective therapies for FTD. HIGHLIGHTS: DHTs are being developed to assess FTD onset and progression. Tool developers must overcome numerous challenges in creating effective applications. Guidance to tool developers aims to benefit FTD drug development and patient care.

Indexed as

Biomedical TechnologyDigital TechnologyFrontotemporal DementiaDigital HealthDisease ProgressionHumansdementiadiagnosticsdigital health technologiesdisease progression and monitoringfrontotemporal degenerationneurodegeneration

Identifiers

PMID40285380
PMCPMC12032191

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.