Evidence map›Paper›PMID 26300746›Full record

ArticleFrontiers in systems neuroscience2015

Plasticity of cerebellar Purkinje cells in behavioral training of body balance control.

Ray X Lee, Jian-Jia Huang, Chiming Huang, Meng-Li Tsai, Chen-Tung Yen

Open access · goldAbstract read
In one paragraph

Article in Frontiers in systems neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.7field-weighted citation impact, top 17% of its field
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

11 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. The First of Us:bioRxiv : the preprint server for biology · 2025
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  3. Review
  4. Article
  5. Article
  6. Article
  7. Simple spike dynamics of Purkinje cells in the macaque vestibulo-cerebellum during passive whole-body self-motion.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  8. Article
  9. Article
  10. Article
  11. 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

5 authors at 3 institutions in 2 countries.

Ray X LeeDepartment of Life Science, National Taiwan University Taipei, Taiwan.
Jian-Jia HuangGraduate Institute of Electronics Engineering, National Taiwan University Taipei, Taiwan.
Chiming HuangSchool of Biological Sciences, University of Missouri-Kansas City Kansas City, MO, USA.
Meng-Li TsaiDepartment of Biomechatronic Engineering, National Ilan University Ilan, Taiwan.
Chen-Tung YenDepartment of Life Science, National Taiwan University Taipei, Taiwan.
National Taiwan University · TWNational Ilan University · TWUniversity of Missouri–Kansas City · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neural responses to sensory inputs caused by self-generated movements (reafference) and external passive stimulation (exafference) differ in various brain regions. The ability to differentiate such sensory information can lead to movement execution with better accuracy. However, how sensory responses are adjusted in regard to this distinguishability during motor learning is still poorly understood. The cerebellum has been hypothesized to analyze the functional significance of sensory information during motor learning, and is thought to be a key region of reafference computation in the vestibular system. In this study, we investigated Purkinje cell (PC) spike trains as cerebellar cortical output when rats learned to balance on a suspended dowel. Rats progressively reduced the amplitude of body swing and made fewer foot slips during a 5-min balancing task. Both PC simple (SSs; 17 of 26) and complex spikes (CSs; 7 of 12) were found to code initially on the angle of the heads with respect to a fixed reference. Using periods with comparable degrees of movement, we found that such SS coding of information in most PCs (10 of 17) decreased rapidly during balance learning. In response to unexpected perturbations and under anesthesia, SS coding capability of these PCs recovered. By plotting SS and CS firing frequencies over 15-s time windows in double-logarithmic plots, a negative correlation between SS and CS was found in awake, but not anesthetized, rats. PCs with prominent SS coding attenuation during motor learning showed weaker SS-CS correlation. Hence, we demonstrate that neural plasticity for filtering out sensory reafference from active motion occurs in the cerebellar cortex in rats during balance learning. SS-CS interaction may contribute to this rapid plasticity as a form of receptive field plasticity in the cerebellar cortex between two receptive maps of sensory inputs from the external world and of efference copies from the will center for volitional movements.

Indexed as

cerebellar cortexinformation codingmotor learningneural plasticityreafference computation

Identifiers

PMID26300746
PMCPMC4524947
OpenAlexW1676416316

What OpenQuestion holds

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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.