Evidence map›Paper›PMID 41393219›Full record

ArticleDevice2025

Wearable organic-electrochemical-transistor-based lithium sensor for precision mental health.

Mohammad Shafiqul Islam, Brince Paul Kunnel, Munia Ferdoushi, Md Farhad Hassan, Sangwon Cha, Wenxin Cai, Adam Frank, Yasser Khan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Device, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Mohammad Shafiqul IslamDepartment of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA 90089, USA.
Brince Paul KunnelDepartment of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA 90089, USA.
Munia FerdoushiDepartment of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA 90089, USA.
Md Farhad HassanDepartment of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA 90089, USA.
Sangwon ChaDepartment of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA 90089, USA.
Wenxin CaiThe Institute for Technology and Medical Systems (ITEMS), Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
Adam FrankDepartment of Psychiatry and Behavioral Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
Yasser KhanDepartment of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA 90089, USA.

Funding

Novel multimodal neural, physiological, and behavioral sensing and machine learning for mental statesR61MH135407 · NIMH · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Maryam Shanechi · 2024 to 2026
$2.8M
NIMH NIH HHS R61 MH135407
6 · The paper itself

Abstract

Mental health disorders, including bipolar disorder, pose significant challenges worldwide, necessitating precise monitoring of lithium, a gold-standard medication for this condition. We introduce a fully-printed, wearable Organic-Electrochemical-Transistor (OECT)-based sensor for non-invasive and continuous monitoring of lithium levels in sweat. This sensor integrates inkjet and 3D printing to fabricate multilayer OECTs with an ion-selective membrane, alongside iontophoretic sweat induction and microfluidic guidance for real-time sensing. Our sensor demonstrates sensitivity of Δ

Indexed as

bipolar disorderflexible and printed electronicsiontophoretic sweat inductionmental health wearableOrganic Electrochemical Transistor (OECT)precision psychiatrywearable lithium sensorwearable sweat sensor

Identifiers

PMID41393219
PMCPMC12700067

What OpenQuestion holds

Textmetadata
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.