Evidence map›Paper›PMID 35741428›Full record

ArticleBiology2022

Optical Fiber-Based Recording of Climbing Fiber Ca

Jiechang Tang, Rou Xue, Yan Wang, Min Li, Hongbo Jia, Janelle M P Pakan, Longhui Li, Xiaowei Chen, Xingyi Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

9 authors.

Jiechang TangCenter for Neurointelligence, School of Medicine, Chongqing University, Chongqing 400030, China.
Rou XueCenter for Neurointelligence, School of Medicine, Chongqing University, Chongqing 400030, China.
Yan WangBrain Research Instrument Innovation Center, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China.
Min LiBrain Research Instrument Innovation Center, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China.
Hongbo JiaBrain Research Instrument Innovation Center, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China.
Janelle M P PakanInstitute of Cognitive Neurology and Dementia Research, Otto-von-Guericke University, 39120 Magdeburg, Germany.ORCID 0000-0001-9384-8067
Longhui LiCenter for Neurointelligence, School of Medicine, Chongqing University, Chongqing 400030, China.
Xiaowei ChenBrain Research Center and State Key Laboratory of Trauma, Burns, and Combined Injury, Third Military Medical University, Chongqing 400038, China.
Xingyi LiCenter for Neurointelligence, School of Medicine, Chongqing University, Chongqing 400030, China.ORCID 0000-0002-9028-1648

Funding

National Natural Science Foundation of China 31925018, 32127801
6 · The paper itself

Abstract

The olivocerebellar circuitry is important to convey both motor and non-motor information from the inferior olive (IO) to the cerebellar cortex. Several methods are currently established to observe the dynamics of the olivocerebellar circuitry, largely by recording the complex spike activity of cerebellar Purkinje cells; however, these techniques can be technically challenging to apply in vivo and are not always possible in freely behaving animals. Here, we developed a method for the direct, accessible, and robust recording of climbing fiber (CF) Ca

Indexed as

climbing fiberslobule IV/V of the cerebellar vermisopen fieldoptical fiber photometrythe olivocerebellar circuitry

Identifiers

PMID35741428
PMCPMC9220032

What OpenQuestion 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 OpenQuestion graph.