Evidence map›Paper›PMID 34535725›Full record

ArticleScientific reports2021

Cognitive control affects motor learning through local variations in GABA within the primary motor cortex.

Shuki Maruyama, Masaki Fukunaga, Sho K Sugawara, Yuki H Hamano, Tetsuya Yamamoto, Norihiro Sadato

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

19 citing papers in PubMed, 38 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Shuki MaruyamaDivision of Cerebral Integration, Department of System Neuroscience, National Institute for Physiological Sciences (NIPS), 38 Nishigonaka, Myodaiji, Okazaki, Aichi, 444-8585, Japan.
Masaki FukunagaDivision of Cerebral Integration, Department of System Neuroscience, National Institute for Physiological Sciences (NIPS), 38 Nishigonaka, Myodaiji, Okazaki, Aichi, 444-8585, Japan.
Sho K SugawaraDivision of Cerebral Integration, Department of System Neuroscience, National Institute for Physiological Sciences (NIPS), 38 Nishigonaka, Myodaiji, Okazaki, Aichi, 444-8585, Japan.
Yuki H HamanoDivision of Cerebral Integration, Department of System Neuroscience, National Institute for Physiological Sciences (NIPS), 38 Nishigonaka, Myodaiji, Okazaki, Aichi, 444-8585, Japan.
Tetsuya YamamotoDivision of Cerebral Integration, Department of System Neuroscience, National Institute for Physiological Sciences (NIPS), 38 Nishigonaka, Myodaiji, Okazaki, Aichi, 444-8585, Japan.
Norihiro SadatoDivision of Cerebral Integration, Department of System Neuroscience, National Institute for Physiological Sciences (NIPS), 38 Nishigonaka, Myodaiji, Okazaki, Aichi, 444-8585, Japan. sadato@nips.ac.jp.
National Institute for Physiological Sciences · JPThe Graduate University for Advanced Studies, SOKENDAI · JPJapan Society for the Promotion of Science · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The primary motor cortex (M1) is crucial for motor learning; however, its interaction with other brain areas during motor learning remains unclear. We hypothesized that the fronto-parietal execution network (FPN) provides learning-related information critical for the flexible cognitive control that is required for practice. We assessed network-level changes during sequential finger tapping learning under speed pressure by combining magnetic resonance spectroscopy and task and resting-state functional magnetic resonance imaging. There was a motor learning-related increase in preparatory activity in the fronto-parietal regions, including the right M1, overlapping the FPN and sensorimotor network (SMN). Learning-related increases in M1-seeded functional connectivity with the FPN, but not the SMN, were associated with decreased GABA/glutamate ratio in the M1, which were more prominent in the parietal than the frontal region. A decrease in the GABA/glutamate ratio in the right M1 was positively correlated with improvements in task performance (p = 0.042). Our findings indicate that motor learning driven by cognitive control is associated with local variations in the GABA/glutamate ratio in the M1 that reflects remote connectivity with the FPN, representing network-level motor sequence learning formations.

Indexed as

CognitionMotor SkillsAdolescentAdultFemalegamma-Aminobutyric AcidHumansLearningMaleMotor CortexTask Performance and AnalysisYoung Adultgamma-Aminobutyric Acid

Identifiers

PMID34535725
PMCPMC8448760
OpenAlexW3200901183

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.