Evidence map›Paper›PMID 35013248›Full record

ArticleNature communications2022

Prefrontal cortical plasticity during learning of cognitive tasks.

Hua Tang, Mitchell R Riley, Balbir Singh, Xue-Lian Qi, David T Blake, Christos Constantinidis

Abstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Trial
  2. Article
  3. Long-term Learning Induces Plastic Changes in Frontostriatal Circuits.bioRxiv : the preprint server for biology · 2026
    Article
  4. Prefrontal Mechanisms of Rule Learning.bioRxiv : the preprint server for biology · 2026
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Is working memory domain-general or domain-specific?Trends in cognitive sciences · 2024
    Review
  16. Timescales of learning in prefrontal cortex.Nature reviews. Neuroscience · 2024
    Review
  17. Article
  18. Review
  19. Article
  20. Common Mechanisms of Learning in Motor and Cognitive Systems.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    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

6 authors.

Hua Tang *Department of Neurobiology & Anatomy, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA.ORCID http://orcid.org/0000-0001-6168-6737
Mitchell R Riley *Department of Neurobiology & Anatomy, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA.
Balbir SinghDepartment of Neurobiology & Anatomy, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA.
Xue-Lian QiDepartment of Neurobiology & Anatomy, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA.
David T BlakeDepartment of Neuroscience and Regenerative Medicine, Medical College of Georgia, Augusta University, Augusta, GA, 30912, USA.
Christos ConstantinidisDepartment of Neurobiology & Anatomy, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA. Christos.Constantinidis.1@vanderbilt.edu.ORCID http://orcid.org/0000-0001-7441-022X

Funding

NEUROPHYSIOLOGICAL EFFECTS OF TRAINING IN VISUAL COGNITIVE TASKSR01EY017077 · NEI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI CHRISTOS CONSTANTINIDIS · 2006 to 2026
$6.0M
Training Program in Multisensory ProcessesT32NS073553 · NINDS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI STEIN, BARRY E · 2011 to 2020
$1.7M
Effects of Training in Visuospatial Working MemoryF31MH104012 · NIMH · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI RILEY, MITCHELL · 2014 to 2017
$109k
NEI NIH HHS R01 EY017077NIMH NIH HHS F31 MH104012NINDS NIH HHS T32 NS073553
6 · The paper itself

Abstract

Training in working memory tasks is associated with lasting changes in prefrontal cortical activity. To assess the neural activity changes induced by training, we recorded single units, multi-unit activity (MUA) and local field potentials (LFP) with chronic electrode arrays implanted in the prefrontal cortex of two monkeys, throughout the period they were trained to perform cognitive tasks. Mastering different task phases was associated with distinct changes in neural activity, which included recruitment of larger numbers of neurons, increases or decreases of their firing rate, changes in the correlation structure between neurons, and redistribution of power across LFP frequency bands. In every training phase, changes induced by the actively learned task were also observed in a control task, which remained the same across the training period. Our results reveal how learning to perform cognitive tasks induces plasticity of prefrontal cortical activity, and how activity changes may generalize between tasks.

Indexed as

Action PotentialsAnimalsCognitionElectrodes, ImplantedMacaca mulattaMaleMemory, Short-TermNeuronsPrefrontal CortexStereotaxic Techniques

Identifiers

PMID35013248
PMCPMC8748623

What OpenQuestion holds

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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.