Evidence map›Paper›PMID 42311862›Full record

ArticleIEEE sensors letters2026

Viewpoint: Next-Generation Sensor Technologies for Studying Mental Health.

Christina H Liu, Yvonne M Bennett

Abstract read
In one paragraph

Article in IEEE sensors letters, 2026. 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

2 authors.

Christina H LiuNational Institute of Mental Health, Division of Data Science and Technology, National Institutes of Health Rockville, Rockville, MD 20852 USA.ORCID 0000-0002-5723-177X
Yvonne M BennettNational Institute of Mental Health, Division of Data Science and Technology, National Institutes of Health Rockville, Rockville, MD 20852 USA.ORCID 0009-0002-0303-4671

Funding

Intramural NIH HHS Z99 MH999999
6 · The paper itself

Abstract

Sensors of all kinds continue to be further refined and developed for a wide range of applications, including in the biomedical domain. Sensors are routinely used for vital sign tracking and motion. However, more work is needed to further enhance research efforts in the study of mental health. This letter highlights this area of bioelectronics and biosensing to encourage researchers to improve capabilities in electrochemical sensing-a gap area, to enable synchronous monitoring of brain activity and behavior, leading to new insights into brain circuit function and improving closed-loop therapies.

Indexed as

aptamersbehaviorbioelectronicsbiomarkersbrainChemical and biological sensorselectrochemical sensingmental healthneurotransmittersnucleic acid sensingorganic transistorssensorswearable deviceswearables

Identifiers

PMID42311862
PMCPMC13271654

What OpenQuestion holds

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LicenceCC BY
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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.