Evidence map›Paper›PMID 34335178›Full record

ArticleFrontiers in neuroscience2021

Extended Visual Sequence Learning Leaves a Local Trace in the Spontaneous EEG.

Serena Ricci, Elisa Tatti, Aaron B Nelson, Priya Panday, Henry Chen, Giulio Tononi, Chiara Cirelli, M Felice Ghilardi

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Learning Multiple Movements in Parallel-Accurately and in Random Order, or Each with Added Noise?International journal of environmental research and public health · 2022
    Article
  3. Always Pay Attention to Which Model of Motor Learning You Are Using.International journal of environmental research and public health · 2022
    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.

Serena RicciDepartment of Physiology, Pharmacology and Neuroscience, CUNY School of Medicine, New York, NY, United States.
Elisa TattiDepartment of Physiology, Pharmacology and Neuroscience, CUNY School of Medicine, New York, NY, United States.
Aaron B NelsonDepartment of Physiology, Pharmacology and Neuroscience, CUNY School of Medicine, New York, NY, United States.
Priya PandayDepartment of Physiology, Pharmacology and Neuroscience, CUNY School of Medicine, New York, NY, United States.
Henry ChenDepartment of Physiology, Pharmacology and Neuroscience, CUNY School of Medicine, New York, NY, United States.
Giulio TononiDepartment of Psychiatry, University of Wisconsin-Madison, Madison, WI, United States.
Chiara CirelliDepartment of Psychiatry, University of Wisconsin-Madison, Madison, WI, United States.
M Felice GhilardiDepartment of Physiology, Pharmacology and Neuroscience, CUNY School of Medicine, New York, NY, United States.

Funding

Electron Microscopy Core CP01NS083514 · NINDS · UNIVERSITY OF WISCONSIN-MADISON · PI TONONI, GIULIO · 2014 to 2018
$7.7M
NINDS NIH HHS P01 NS083514
6 · The paper itself

Abstract

We have previously demonstrated that, in rested subjects, extensive practice in a motor learning task increased both electroencephalographic (EEG) theta power in the areas involved in learning and improved the error rate in a motor test that shared similarities with the task. A nap normalized both EEG and performance changes. We now ascertain whether extensive visual declarative learning produces results similar to motor learning. Thus, during the morning, we recorded high-density EEG in well rested young healthy subjects that learned the order of different visual sequence task (VSEQ) for three one-hour blocks. Afterward, a group of subjects took a nap and another rested quietly. Between each VSEQ block, we recorded spontaneous EEG (sEEG) at rest and assessed performance in a motor test and a visual working memory test that shares similarities with VSEQ. We found that after the third block, VSEQ induced local theta power increases in the sEEG over a right temporo-parietal area that was engaged during the task. This local theta increase was preceded by increases in alpha and beta power over the same area and was paralleled by performance decline in the visual working memory test. Only after the nap, VSEQ learning rate improved and performance in the visual working memory test was restored, together with partial normalization of the local sEEG changes. These results suggest that intensive learning, like motor learning, produces local theta power increases, possibly reflecting local neuronal fatigue. Sleep may be necessary to resolve neuronal fatigue and its effects on learning and performance.

Indexed as

fatiguehomeostasislearningresting state EEGvisual learning

Identifiers

PMID34335178
PMCPMC8322764

What OpenQuestion holds

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Registered trials

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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.