Evidence map›Paper›PMID 40038507›Full record

Observational studyNature medicine2025

Smartwatch- and smartphone-based remote assessment of brain health and detection of mild cognitive impairment.

Paul Monroe Butler, Jenny Yang, Roland Brown, Matt Hobbs, Andrew Becker, Joaquin Penalver-Andres, Philippe Syz, Sofia Muller, Gautier Cosne, Adrien Juraver and 22 more

Registry-linked trialAbstract readObservational Study
In one paragraph

Observational study in Nature medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05058950 (An Observational Study Using Multimodal Sensors to Measure Cognitive Health in Adults and Distinguish Mild Cognitive Impairment From Normal Aging), which is not on this map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
–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.

NCT05058950 terminatednot on this map

An Observational Study Using Multimodal Sensors to Measure Cognitive Health in Adults and Distinguish Mild Cognitive Impairment From Normal Aging

TypeobservationalSponsorBiogenRan2021 to 2023Enrolled22,720ConditionsMild Cognitive Impairment, Normal Aging
3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  9. Digital speech-based markers to advance prognosis in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
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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

32 authors.

Paul Monroe ButlerApple Inc., Cupertino, CA, USA. pmbutler@bwh.harvard.edu.ORCID http://orcid.org/0000-0001-6166-2612
Jenny YangApple Inc., Cupertino, CA, USA.ORCID http://orcid.org/0009-0001-9594-2724
Roland BrownBiogen Inc., Cambridge, MA, USA.
Matt HobbsApple Inc., Cupertino, CA, USA.ORCID http://orcid.org/0000-0003-4220-4805
Andrew BeckerBiogen Inc., Cambridge, MA, USA.
Joaquin Penalver-AndresBiogen Inc., Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-8181-7538
Philippe SyzApple Inc., Cupertino, CA, USA.
Sofia MullerApple Inc., Cupertino, CA, USA.
Gautier CosneBiogen Inc., Cambridge, MA, USA.
Adrien JuraverBiogen Inc., Cambridge, MA, USA.ORCID http://orcid.org/0009-0004-4251-9609
Han Hee SongApple Inc., Cupertino, CA, USA.
Paramita Saha-ChaudhuriBiogen Inc., Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-1987-320X
Daniel RoggenBiogen Inc., Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-8033-6417
Alf ScotlandBiogen Inc., Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-9590-8617
Natalia SilveiraApple Inc., Cupertino, CA, USA.
Gizem DemirciogluBiogen Inc., Cambridge, MA, USA.
Audrey GabelleBiogen Inc., Cambridge, MA, USA.
Richard HughesBiogen Inc., Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-5532-406X
Michael G ErkkinenBrigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Jessica B LangbaumIntuition Study Scientific Committee, Boston, MA, USA.
Jennifer H LinglerIntuition Study Scientific Committee, Boston, MA, USA.
Pamela PriceIntuition Study Scientific Committee, Boston, MA, USA.
Yakeel T QuirozIntuition Study Scientific Committee, Boston, MA, USA.ORCID http://orcid.org/0000-0001-9714-8244
Sharon J ShaIntuition Study Scientific Committee, Boston, MA, USA.
Marty SliwinskiIntuition Study Scientific Committee, Boston, MA, USA.
Anton P PorsteinssonIntuition Study Scientific Committee, Boston, MA, USA.ORCID http://orcid.org/0000-0002-0166-1738
Rhoda AuIntuition Study Scientific Committee, Boston, MA, USA.ORCID http://orcid.org/0000-0001-7742-4491
Matt T BianchiApple Inc., Cupertino, CA, USA.
Hanson LenyounApple Inc., Cupertino, CA, USA.
Hung PhamApple Inc., Cupertino, CA, USA.
Mithun PatelApple Inc., Cupertino, CA, USA.
Shibeshih BelachewBiogen Inc., Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-3976-1950

Funding

Research Education ComponentP30AG072980 · NIA · BANNER HEALTH · PI ALIREZA ATRI · 2021 to 2026
$24.9M
NIA NIH HHS P30 AG072980
6 · The paper itself

Abstract

Consumer-grade mobile devices are used by billions worldwide. Their ubiquity provides opportunities to robustly capture everyday cognition. 'Intuition' was a remote observational study that enrolled 23,004 US adults, collecting 24 months of longitudinal multimodal data via their iPhones and Apple Watches using a custom research application that captured routine device use, self-reported health information and cognitive assessments. The study objectives were to classify mild cognitive impairment (MCI), characterize cognitive trajectories and develop tools to detect and track cognitive health at scale. The study addresses sources of bias in current cognitive health research, including limited representativeness (for example, racial/ethnic, geographic) and accuracy of cognitive measurement tools. We describe study design and provide baseline cohort characteristics. Next, we present foundational proof-of-concept MCI classification modeling results using interactive cognitive assessment data. Initial findings support the reliability and validity of remote MCI detection and the usefulness of such data in describing at-risk cognitive health trajectories in demographically diverse aging populations. ClinicalTrials.gov identifier: NCT05058950 .

Indexed as

BrainCognitive DysfunctionSmartphoneAgedAged, 80 and overCognitionFemaleHumansLongitudinal StudiesMaleMiddle AgedMobile ApplicationsTelemedicine

Identifiers

PMID40038507
PMCPMC11922773

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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 Socratic graph.