Evidence map›Paper›PMID 38467902›Full record

ArticleNature neuroscience2024

Real-time analysis of large-scale neuronal imaging enables closed-loop investigation of neural dynamics.

Chun-Feng Shang, Yu-Fan Wang, Mei-Ting Zhao, Qiu-Xiang Fan, Shan Zhao, Yu Qian, Sheng-Jin Xu, Yu Mu, Jie Hao, Jiu-Lin Du

Abstract read
PubMed Publisher
In one paragraph

Article in Nature neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Heart rate control by listening to light.Nature communications · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
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  11. Article
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  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Optogenetic Brain-Computer Interfaces.Bioengineering (Basel, Switzerland) · 2024
    Review
  19. Article
  20. 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

10 authors.

Chun-Feng Shang *Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Yu-Fan Wang *Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.ORCID http://orcid.org/0009-0000-5306-6749
Mei-Ting Zhao *Institute of Automation, Chinese Academy of Sciences, Beijing, China.
Qiu-Xiang FanInstitute of Automation, Chinese Academy of Sciences, Beijing, China.
Shan ZhaoInstitute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Yu QianInstitute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Sheng-Jin XuInstitute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Yu MuInstitute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China. my@ion.ac.cn.ORCID http://orcid.org/0000-0001-9297-4854
Jie HaoUniversity of Chinese Academy of Sciences, Beijing, China. jie.hao@ia.ac.cn.ORCID http://orcid.org/0000-0002-2978-1686
Jiu-Lin DuInstitute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China. forestdu@ion.ac.cn.ORCID http://orcid.org/0000-0001-9413-9991

Funding

Chinese Academy of Sciences (CAS) QYZDYSSW-SMC028, XDB32000000Chinese Academy of Sciences (CAS) YJKYYQ20210029Chinese Ministry of Science and Technology | Department of S and T for Social Development (Department of S&T for Social Development) 2021YFF0502900Chinese Ministry of Science and Technology | Department of S and T for Social Development (Department of S&T for Social Development) 2021ZD0203704Department of Education of Guangdong Province (Guangdong Province Education Department) 2020KTSCX115Ministry of Science and Technology of the People's Republic of China (Chinese Ministry of Science and Technology) 2021ZD0204500, 2021ZD0204502National Natural Science Foundation of China (National Science Foundation of China) 32070982National Natural Science Foundation of China (National Science Foundation of China) 32171026National Natural Science Foundation of China (National Science Foundation of China) 32321003Science and Technology Commission of Shanghai Municipality (Shanghai Municipal Science and Technology Commission) 18JC1410100, 2018SHZDZX05Shenzhen Science and Technology Innovation Commission 20200813170229001
6 · The paper itself

Abstract

Large-scale imaging of neuronal activities is crucial for understanding brain functions. However, it is challenging to analyze large-scale imaging data in real time, preventing closed-loop investigation of neural circuitry. Here we develop a real-time analysis system with a field programmable gate array-graphics processing unit design for an up to 500-megabyte-per-second image stream. Adapted to whole-brain imaging of awake larval zebrafish, the system timely extracts activity from up to 100,000 neurons and enables closed-loop perturbations of neural dynamics.

Indexed as

BrainNeuronsZebrafishAnimalsComputer SystemsImage Processing, Computer-AssistedLarvaNeuroimaging

Identifiers

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.