Evidence map›Paper›PMID 32528254›Full record

ReviewFrontiers in neural circuits2020

Plasticity of Persistent Activity and Its Constraints.

Sihai Li, Xin Zhou, Christos Constantinidis, Xue-Lian Qi

Abstract readReview
In one paragraph

Review in Frontiers in neural circuits, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Common Mechanisms of Learning in Motor and Cognitive Systems.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Review
  6. Article
  7. Review
  8. Article
  9. Strong Gamma Frequency Oscillations in the Adolescent Prefrontal Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Article
  10. Article
  11. Article
  12. Article
  13. Article
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

4 authors.

Sihai LiDepartment of Neurobiology and Anatomy, Wake Forest School of Medicine, Winston Salem, NC, United States.
Xin ZhouDepartment of Neurobiology and Anatomy, Wake Forest School of Medicine, Winston Salem, NC, United States.
Christos ConstantinidisDepartment of Neurobiology and Anatomy, Wake Forest School of Medicine, Winston Salem, NC, United States.
Xue-Lian QiDepartment of Neurobiology and Anatomy, Wake Forest School of Medicine, Winston Salem, NC, United States.

Funding

NEUROPHYSIOLOGICAL EFFECTS OF TRAINING IN VISUAL COGNITIVE TASKSR01EY017077 · NEI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI CHRISTOS CONSTANTINIDIS · 2006 to 2026
$6.0M
Neurophysiology of Working Memory Maturation in AdolescenceR01MH116675 · NIMH · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI CONSTANTINIDIS, CHRISTOS, WHITLOW, CHRISTOPHER T · 2018 to 2022
$2.4M
NEI NIH HHS R01 EY017077NIMH NIH HHS R01 MH116675
6 · The paper itself

Abstract

Stimulus information is maintained in working memory by action potentials that persist after the stimulus is no longer physically present. The prefrontal cortex is a critical brain area that maintains such persistent activity due to an intrinsic network with unique synaptic connectivity, NMDA receptors, and interneuron types. Persistent activity can be highly plastic depending on task demands but it also appears in naïve subjects, not trained or required to perform a task at all. Here, we review what aspects of persistent activity remain constant and what factors can modify it, focusing primarily on neurophysiological results from non-human primate studies. Changes in persistent activity are constrained by anatomical location, with more ventral and more anterior prefrontal areas exhibiting the greatest capacity for plasticity, as opposed to posterior and dorsal areas, which change relatively little with training. Learning to perform a cognitive task for the first time, further practicing the task, and switching between learned tasks can modify persistent activity. The ability of the prefrontal cortex to generate persistent activity also depends on age, with changes noted between adolescence, adulthood, and old age. Mean firing rates, variability and correlation of persistent discharges, but also time-varying firing rate dynamics are altered by these factors. Plastic changes in the strength of intrinsic network connections can be revealed by the analysis of synchronous spiking between neurons. These results are essential for understanding how the prefrontal cortex mediates working memory and intelligent behavior.

Indexed as

Action PotentialsAnimalsHumansInterneuronsLearningMemory, Short-TermNerve NetNeuronal PlasticityNeuronsPrefrontal Cortexmonkeyneurophysiologyprefrontal cortextrainingworking memory

Identifiers

PMID32528254
PMCPMC7247814

What OpenQuestion holds

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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.