Evidence map›Paper›PMID 40355575›Full record

ArticleNPJ digital medicine2025

Wearable fNIRS platform for dense sampling and precision functional neuroimaging.

Ali Rahimpour Jounghani, Anupam Kumar, Laura Moreno Carbonell, Ester Patrize Lopez Aguilar, Tulla Bee Picardi, Seth Crawford, Audrey K Bowden, S M Hadi Hosseini

Abstract read
In one paragraph

Article in NPJ digital medicine, 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. Review
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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

8 authors.

Ali Rahimpour Jounghani *Department of Psychiatry and Behavioral Sciences, School of Medicine, Computational Brain Research and Intervention (C-BRAIN) Laboratory, Stanford University, Palo Alto, CA, USA.
Anupam Kumar *Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA.
Laura Moreno Carbonell *Department of Psychiatry and Behavioral Sciences, School of Medicine, Computational Brain Research and Intervention (C-BRAIN) Laboratory, Stanford University, Palo Alto, CA, USA.
Ester Patrize Lopez AguilarDepartment of Psychiatry and Behavioral Sciences, School of Medicine, Computational Brain Research and Intervention (C-BRAIN) Laboratory, Stanford University, Palo Alto, CA, USA.
Tulla Bee PicardiDepartment of Psychiatry and Behavioral Sciences, School of Medicine, Computational Brain Research and Intervention (C-BRAIN) Laboratory, Stanford University, Palo Alto, CA, USA.
Seth CrawfordDepartment of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA.
Audrey K BowdenDepartment of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA.
S M Hadi HosseiniDepartment of Psychiatry and Behavioral Sciences, School of Medicine, Computational Brain Research and Intervention (C-BRAIN) Laboratory, Stanford University, Palo Alto, CA, USA. hosseiny@stanford.edu.ORCID http://orcid.org/0000-0001-5186-7008

Funding

TRAINING FOR CHILD PSYCHIATRY AND CHILD DEVELOPMENTT32MH019908 · NIMH · STANFORD UNIVERSITY · PI IAN H GOTLIB, DAVID S HONG · 1993 to 2026
$6.3M
A Wearable Optical Imaging System for Daily Monitoring of Prefrontal Activity in ADHDR21MH123873 · NIMH · STANFORD UNIVERSITY · PI BOWDEN, AUDREY KYNSELLA, HOSSEINI, HADI · 2020 to 2020
$443k
NIMH NIH HHS R21 MH123873NIMH NIH HHS T32 MH019908U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) R21MH123873
6 · The paper itself

Abstract

Precision mental health aims to improve care by tailoring interventions based on individual neurobiological features. Functional near-infrared spectroscopy (fNIRS) is a cost-effective and portable alternative to traditional neuroimaging, making it a promising tool for this purpose. This study evaluates a self-administered, wearable fNIRS platform designed for precision mental health applications, focusing on its reliability and specificity in capturing individualized functional connectivity patterns. The platform incorporates a wireless, portable multichannel fNIRS device, augmented reality guidance for reproducible device placement, and a cloud-based system for remote data access. In this proof-of-concept study, eight adults completed ten dense-sampled sessions involving cognitive tasks and resting-state measurements. Results demonstrated high test-retest reliability and within-participant consistency in functional connectivity and activation patterns. These findings support the platform's feasibility for individualized functional mapping. Future research with larger and more diverse cohorts, including clinical populations, is necessary to explore its potential for disorder-specific applications.

Identifiers

PMID40355575
PMCPMC12069634

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.