Evidence map›Paper›PMID 39974013›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Multimodal Digital Phenotyping of Behavior in a Neurology Clinic: Development of the Neurobooth Platform and the First Two Years of Data Collection.

Adonay S Nunes, Siddharth Patel, Brandon Oubre, Mainak Jas, Divya D Kulkarni, Anna C Luddy, Nicole M Eklund, Faye X Yang, Rohin Manohar, Nancy N Soja and 17 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

27 authors.

Adonay S NunesDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Siddharth PatelDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Brandon OubreDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-1807-4775
Mainak JasMartinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Divya D KulkarniDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Anna C LuddyDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Nicole M EklundDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Faye X YangDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Rohin ManoharDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Nancy N SojaDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Katherine M BurkeDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Bonnie WongDepartment of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Dmitry IsaevDepartment of Biomedical Engineering, Duke University, Durham, NC, USA.
Steven EspinosaDepartment of Electrical and Computer Engineering, Duke University, Durham, NC, USA.
Jeremy D SchmahmannDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Christopher D StephenDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Anne-Marie WillsDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Albert HungDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Bradford C DickersonDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-5958-3445
James D BerryDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Steven E ArnoldDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-9487-415X
Vikram KhuranaDepartment of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Lawrence WhiteDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Guillermo SapiroDepartment of Electrical and Computer Engineering, Duke University, Durham, NC, USA.
Krzysztof Z GajosHarvard John A. Paulson School of Engineering and Applied Sciences, Allston, Massachusetts, USA.
Sheraz KhanMartinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Anoopum S GuptaDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.

Funding

A Computational Approach for Quantifying Motor Behaviors in Spinocerebellar Ataxias to Improve Early Detection of Motor Signs and Precisely Estimate Disease Severity and Disease ChangeR01NS117826 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI GUPTA, ANOOPUM SATYAWAN · 2021 to 2025
$2.7M
NINDS NIH HHS R01 NS117826
6 · The paper itself

Abstract

Quantitative analysis of human behavior is critical for objective characterization of neurological phenotypes, early detection of neurodegenerative diseases, and development of more sensitive measures of disease progression to support clinical trials and translation of new therapies into clinical practice. Sophisticated computational modeling can support these objectives, but requires large, information-rich data sets. This work introduces Neurobooth, a customizable platform for time-synchronized multimodal capture of human behavior. Over a two year period, a Neurobooth implementation integrated into a clinical setting facilitated data collection across multiple behavioral domains from a cohort of 470 individuals (82 controls and 388 with neurologic diseases) who participated in a collective 782 sessions. Visualization of the multimodal time series data demonstrates the presence of rich phenotypic signs across a range of diseases. These data and the open-source platform offer potential for advancing our understanding of neurological diseases and facilitating therapy development, and may be a valuable resource for related fields that study human behavior.

Identifiers

PMID39974013
PMCPMC11838688

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.