Evidence map›Paper›PMID 39746993›Full record

ArticleNature communications2025

VTA projections to M1 are essential for reorganization of layer 2-3 network dynamics underlying motor learning.

Amir Ghanayim, Hadas Benisty, Avigail Cohen Rimon, Sivan Schwartz, Sally Dabdoob, Shira Lifshitz, Ronen Talmon, Jackie Schiller

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Self-Organizing Recruitment of Compensatory Cortical Areas Post-Stroke Can Maximize Residual Motor Performance.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Learning and Control in Motor Cortex across Cell Types and Scales.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    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.

Amir Ghanayim *Department of Neuroscience, Technion Medical School, Bat-Galim, Haifa, Israel.ORCID 0009-0003-2519-784X
Hadas Benisty *Department of Neuroscience, Technion Medical School, Bat-Galim, Haifa, Israel. hadasbe@technion.ac.il.ORCID 0000-0001-6308-2267
Avigail Cohen RimonThe Taub Faculty of Computer Science, Technion, Haifa, Israel.
Sivan SchwartzDepartment of Neuroscience, Technion Medical School, Bat-Galim, Haifa, Israel.
Sally DabdoobDepartment of Neuroscience, Technion Medical School, Bat-Galim, Haifa, Israel.
Shira LifshitzViterbi Faculty of Electrical and Computer Engineering, Technion, Haifa, Israel.
Ronen TalmonViterbi Faculty of Electrical and Computer Engineering, Technion, Haifa, Israel.
Jackie SchillerDepartment of Neuroscience, Technion Medical School, Bat-Galim, Haifa, Israel. jackie@technion.ac.il.ORCID 0000-0001-9182-7166

Funding

Israel Science Foundation (ISF) 2694/23
6 · The paper itself

Abstract

The primary motor cortex (M1) is crucial for motor skill learning. Previous studies demonstrated that skill acquisition requires dopaminergic VTA (ventral-tegmental area) signaling in M1, however little is known regarding the effect of these inputs at the neuronal and network levels. Using dexterity task, calcium imaging, chemogenetic inhibiting, and geometric data analysis, we demonstrate VTA-dependent reorganization of M1 layer 2-3 during motor learning. While average activity and average functional connectivity of layer 2-3 network remain stable during learning, activity kinetics, correlational configuration of functional connectivity, and average connectivity strength of layer 2-3 neurons gradually transform towards an expert configuration. Additionally, sensory tone representation gradually shifts to success-failure outcome signaling. Inhibiting VTA dopaminergic inputs to M1 during learning, prevents all these changes. Our findings demonstrate dopaminergic VTA-dependent formation of outcome signaling and new connectivity configuration of the layer 2-3 network, supporting reorganization of the M1 network for storing new motor skills.

Indexed as

LearningMotor CortexMotor SkillsVentral Tegmental AreaAnimalsDopaminergic NeuronsFemaleMaleMiceNerve NetNeural Pathways

Identifiers

PMID39746993
PMCPMC11696230

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.