Evidence map›Paper›PMID 40321898›Full record

ReviewCyborg and bionic systems (Washington, D.C.)2025

Electrode Arrays for Detecting and Modulating Deep Brain Neural Information in Primates: A Review.

Siyu Zhang, Yilin Song, Shiya Lv, Luyi Jing, Mingchuan Wang, Yu Liu, Wei Xu, Peiyao Jiao, Suyi Zhang, Mixia Wang and 3 more

Abstract readReview
In one paragraph

Review in Cyborg and bionic systems (Washington, D.C.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

13 authors.

Siyu ZhangState Key Laboratory of Transducer Technology, Aerospace Information Research Institute. Chinese Academy of Sciences, Beijing 100190, China.
Yilin SongState Key Laboratory of Transducer Technology, Aerospace Information Research Institute. Chinese Academy of Sciences, Beijing 100190, China.ORCID https://orcid.org/0000-0001-7756-5139
Shiya LvState Key Laboratory of Transducer Technology, Aerospace Information Research Institute. Chinese Academy of Sciences, Beijing 100190, China.
Luyi JingState Key Laboratory of Transducer Technology, Aerospace Information Research Institute. Chinese Academy of Sciences, Beijing 100190, China.
Mingchuan WangState Key Laboratory of Transducer Technology, Aerospace Information Research Institute. Chinese Academy of Sciences, Beijing 100190, China.
Yu LiuState Key Laboratory of Transducer Technology, Aerospace Information Research Institute. Chinese Academy of Sciences, Beijing 100190, China.
Wei XuState Key Laboratory of Transducer Technology, Aerospace Information Research Institute. Chinese Academy of Sciences, Beijing 100190, China.
Peiyao JiaoState Key Laboratory of Transducer Technology, Aerospace Information Research Institute. Chinese Academy of Sciences, Beijing 100190, China.
Suyi ZhangState Key Laboratory of Transducer Technology, Aerospace Information Research Institute. Chinese Academy of Sciences, Beijing 100190, China.
Mixia WangState Key Laboratory of Transducer Technology, Aerospace Information Research Institute. Chinese Academy of Sciences, Beijing 100190, China.
Juntao LiuState Key Laboratory of Transducer Technology, Aerospace Information Research Institute. Chinese Academy of Sciences, Beijing 100190, China.
Yirong WuState Key Laboratory of Transducer Technology, Aerospace Information Research Institute. Chinese Academy of Sciences, Beijing 100190, China.
Xinxia CaiState Key Laboratory of Transducer Technology, Aerospace Information Research Institute. Chinese Academy of Sciences, Beijing 100190, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Primates possess a more developed central nervous system and a higher level of intelligence than rodents. Detecting and modulating deep brain activity in primates enhances our understanding of neural mechanisms, facilitates the study of major brain diseases, enables brain-computer interactions, and supports advancements in artificial intelligence. Traditional imaging methods such as magnetic resonance imaging, positron emission computed tomography, and scalp electroencephalogram are limited in spatial resolution. They cannot accurately capture deep brain signals from individual neurons. With the progress of microelectromechanical systems and other micromachining technologies, single-neuron level detection and stimulation technology in rodents based on microelectrodes has made important progress. However, compared with rodents, human and nonhuman primates have larger brain volume that needs deeper implantation depth, and the test object has higher safety and device preparation requirements. Therefore, high-resolution devices suitable for long-term detection in the brains of primates are urgently needed. This paper reviewed electrode array devices used for electrophysiological and electrochemical detections in primates' deep brains. The research progress of neural recording and stimulation technologies was introduced from the perspective of electrode type and device structures, and their potential value in neuroscience research and clinical disease treatments was discussed. Finally, it is speculated that future electrodes will have a lot of room for development in terms of flexibility, high resolution, deep brain, and high throughput. The improvements in electrode forms and preparation process will expand our understanding of deep brain neural activities, and bring new opportunities and challenges for the further development of neuroscience.

Identifiers

PMID40321898
PMCPMC12046227

What Socratic holds

Textmetadata
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 Socratic graph.