Evidence map›Paper›PMID 39975886›Full record

ArticleResearch square2025

Synergy of a Complimentary Ionic Biogel Network for Through-Hair Neurohaptics.

Huanyu Cheng, Ankan Dutta, Abu Sayeed Biswas, Long Meng, Ethan Gerhard, Arantza Moreno Calva, Wanqing Zhang, Abu Musa Abdullah, Lana Joharji, Yuju Che and 2 more

Abstract readPreprint
In one paragraph

Article in Research square, 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

12 authors.

Huanyu ChengThe Pennsylvania State University.ORCID 0000-0001-6075-4208
Ankan DuttaThe Pennsylvania State University.
Abu Sayeed BiswasThe Pennsylvania State University.
Long MengThe Pennsylvania State University.
Ethan GerhardThe Pennsylvania State University.
Arantza Moreno CalvaThe Pennsylvania State University.ORCID 0009-0002-1970-4764
Wanqing ZhangThe Pennsylvania State University.ORCID 0000-0002-7298-5983
Abu Musa AbdullahThe Pennsylvania State University.
Lana JoharjiThe Pennsylvania State University.
Yuju CheShandong University.
Jian YangWestlake University.
Xiaogang HuThe Pennsylvania State University.

Funding

Cross-Disciplinary Neural Engineering (CDNE) Training ProgramT32NS115667 · NINDS · PENNSYLVANIA STATE UNIVERSITY, THE · PI GLUCKMAN, BRUCE J · 2021 to 2025
$1.1M
Smart skin grafts for quantitative assessment and treatment of diabetic woundsR21EB030140 · NIBIB · PENNSYLVANIA STATE UNIVERSITY, THE · PI CHENG, HUANYU · 2021 to 2021
$620k
NIBIB NIH HHS R21 EB030140NINDS NIH HHS T32 NS115667
6 · The paper itself

Abstract

Understanding the neural mechanisms underlying haptic sensations is crucial for advancing neuroprosthetics. However, achieving on-site amplification non-invasively through-hair neural recordings remains a significant challenge as it requires thermoreversible, bioadhesive, and semiconducting characteristics in the same material. Typical polymer composite compromises on complementary properties. To address this, we present a membraneless organelles - inspired ionic biogel that leverages liquid-liquid phase separation. This enables a unique synergy of complementary properties, including rapid thermoreversible transitions, p-type semiconductivity, thermoelectricity, enhanced electrochemical stability, self-healing, and bioadhesive capabilities. These characteristics enable to analyze the frequency dependence of event-related desynchronization during electrical stimulation over days mimicking the frequency response of mechanoreceptors sensation. This thermoresponsive, semiconducting ionic biogel also enables a phase-reversible, self-balancing, tip-shaped vertical organic electrochemical transistor with a high transconductance of 44 mS at 40°C. The ionic biogel demonstrates synergistic complementary properties to understand through-hair neurohaptics.

Identifiers

PMID39975886
PMCPMC11838724

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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.