Evidence map›Paper›PMID 42399230›Full record

ReviewMicrosystems & nanoengineering2026

Active devices and systems for closed-loop neuromodulation.

Jingfei Wang, Huize Xue, Jiahao Li, Yihong Li, Rui Li, Yongfeng Mei, Enming Song

Abstract readReview
In one paragraph

Review in Microsystems & nanoengineering, 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

7 authors.

Jingfei WangInstitute of Optoelectronics & College of Future Information Technology, Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, Fudan University, Shanghai, China.
Huize XueInstitute of Optoelectronics & College of Future Information Technology, Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, Fudan University, Shanghai, China.
Jiahao LiInstitute of Optoelectronics & College of Future Information Technology, Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, Fudan University, Shanghai, China.
Yihong LiInstitute of Optoelectronics & College of Future Information Technology, Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, Fudan University, Shanghai, China.
Rui LiState Key Laboratory of Structural Analysis, Optimization and CAE Software for Industrial Equipment, School of Mechanics and Aerospace Engineering, and International Research Center for Computational Mechanics, Dalian University of Technology, Dalian, Liaoning, China.ORCID http://orcid.org/0000-0001-6051-4204
Yongfeng MeiInstitute of Optoelectronics & College of Future Information Technology, Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, Fudan University, Shanghai, China. yfm@fudan.edu.cn.ORCID http://orcid.org/0000-0002-3314-6108
Enming SongInstitute of Optoelectronics & College of Future Information Technology, Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, Fudan University, Shanghai, China. sem@fudan.edu.cn.ORCID http://orcid.org/0000-0002-2658-904X

Funding

National Natural Science Foundation of China (National Science Foundation of China) 62204057National Natural Science Foundation of China (National Science Foundation of China) 62304044National Natural Science Foundation of China (National Science Foundation of China) 62574057Science and Technology Commission of Shanghai Municipality (Shanghai Municipal Science and Technology Commission) 2018SHZDZX01
6 · The paper itself

Abstract

Neuromodulation has become a central topic in neuroscience and biomedical engineering, as it provides powerful means to interrogate and regulate neural activity and offers promising therapeutic strategies for a wide range of neurological disorders. Conventional neuromodulation approaches predominantly rely on electrode-based electrical stimulation or remote physical stimuli, including optical, chemical, magnetic, and ultrasound-based methods, to influence neuronal excitability and neural circuit dynamics. Recent advances in neuromodulation involve microsystem engineering, nanotechnology, and genetically enabled techniques such as optogenetics. They have achieved increasingly precise and versatile control over neural systems with high spatial and temporal resolution. Owing to their intrinsic capability for integrated sensing, signal amplification, and adaptive regulation, active devices are particularly well suited for system-level implementations of neuromodulation. This review summarizes recent advances in active devices for neuromodulation, with a particular emphasis on their functional roles in neural regulation. By discussing different material platforms and device architectures, this review further provides insights into the rational design of next-generation neural interface systems.

Identifiers

PMID42399230
PMCPMC13332031

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.