Evidence map›Paper›PMID 41294772›Full record

ReviewBiosensors2025

Emerging Implantable Sensor Technologies at the Intersection of Engineering and Brain Science.

Lihong Qi, Yuheng Wang, Xuemei Liang

Abstract readReview
In one paragraph

Review in Biosensors, 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. Review
  2. Review
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

3 authors.

Lihong QiDepartment of Geriatrics, School of Clinical Medicine, Southwest Medical University, Luzhou 646000, China.
Yuheng WangThe Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211, China.ORCID 0000-0001-6394-1455
Xuemei LiangDepartment of Geriatrics, School of Clinical Medicine, Southwest Medical University, Luzhou 646000, China.

Funding

Chongqing Brain Science Key Project 0National Natural Science Foundation of China 32200882National Natural Science Foundation of China 5250071402Young Doctoral Program of Xinqiao Hspital 2024YQB048
6 · The paper itself

Abstract

Advances in implantable sensor technologies are revolutionizing the landscape of brain science by enabling chronic, precise, and multimodal interfacing with neural tissues. With the convergence of material science, electronics, and neurobiology, flexible, wireless, bioresorbable, and multimodal sensors are expanding the frontiers of diagnosis, therapy, and brain-machine interfacing. This review presents the latest breakthroughs in implantable neural sensor technologies, emphasizing bio-integration, signal fidelity, and functional adaptability. We highlight innovations such as CMOS-integrated flexible probes, internal ion-gated organic electrochemical transistors (IGTs), multimodal neurotransmitter-electrophysiology sensors, and wireless energy systems. Finally, we discuss the clinical potential, translational challenges, and future directions for brain science and neuroengineering. We further benchmark transduction and analytical performance in physiological media and outline in vivo calibration, antifouling/packaging, and on-node data-efficient processing for long-term stability.

Indexed as

Biosensing TechniquesBrainProstheses and ImplantsAnimalsBrain-Computer InterfacesHumansTransistors, Electronicbrain–machine interfaceflexible neural interfacesmultimodal sensingneuromorphic electronicswireless & bioresorbable systems

Identifiers

PMID41294772
PMCPMC12650648

What OpenQuestion holds

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LicenceCC BY
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.