Evidence map›Paper›PMID 39497921›Full record

ReviewFrontiers in cellular neuroscience2024

Increased understanding of complex neuronal circuits in the cerebellar cortex.

Soyoung Jun, Heeyoun Park, Muwoong Kim, Seulgi Kang, Taehyeong Kim, Daun Kim, Yukio Yamamoto, Keiko Tanaka-Yamamoto

Abstract readReview
In one paragraph

Review in Frontiers in cellular neuroscience, 2024. 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. Review
  3. Review
  4. Article
  5. Glial Cells and Aging: From the CNS to the Cerebellum.International journal of molecular sciences · 2025
    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

8 authors.

Soyoung JunBrain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea.
Heeyoun ParkBrain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea.
Muwoong KimBrain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea.
Seulgi KangBrain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea.
Taehyeong KimBrain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea.
Daun KimBrain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea.
Yukio YamamotoBrain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea.
Keiko Tanaka-YamamotoBrain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prevailing belief has been that the fundamental structures of cerebellar neuronal circuits, consisting of a few major neuron types, are simple and well understood. Given that the cerebellum has long been known to be crucial for motor behaviors, these simple yet organized circuit structures seemed beneficial for theoretical studies proposing neural mechanisms underlying cerebellar motor functions and learning. On the other hand, experimental studies using advanced techniques have revealed numerous structural properties that were not traditionally defined. These include subdivided neuronal types and their circuit structures, feedback pathways from output Purkinje cells, and the multidimensional organization of neuronal interactions. With the recent recognition of the cerebellar involvement in non-motor functions, it is possible that these newly identified structural properties, which are potentially capable of generating greater complexity than previously recognized, are associated with increased information capacity. This, in turn, could contribute to the wide range of cerebellar functions. However, it remains largely unknown how such structural properties contribute to cerebellar neural computations through the regulation of neuronal activity or synaptic transmissions. To promote further research into cerebellar circuit structures and their functional significance, we aim to summarize the newly identified structural properties of the cerebellar cortex and discuss future research directions concerning cerebellar circuit structures and their potential functions.

Indexed as

cerebellar cortexgranule cellsheterogeneitymolecular layer interneuronsneuronal circuitsPurkinje cells

Identifiers

PMID39497921
PMCPMC11532081

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.