Evidence map›Paper›PMID 38282457›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2024

Task learning is subserved by a domain-general brain network.

Jiwon Yeon, Alina Sue Larson, Dobromir Rahnev, Mark D'Esposito

Open access · greenAbstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2024. 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
0.7field-weighted citation impact, top 36% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
  3. 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 at 3 institutions in 1 country.

Jiwon YeonSchool of Psychology, Georgia Institute of Technology, Atlanta, GA 30332, United States.ORCID 0000-0003-2737-4830
Alina Sue LarsonDepartment of Psychology, University of California, Santa Cruz, CA 90564, United States.
Dobromir RahnevSchool of Psychology, Georgia Institute of Technology, Atlanta, GA 30332, United States.
Mark D'EspositoHelen Wills Neuroscience Institute, University of California, Berkeley, CA, 94720, United States.
Georgia Institute of Technology · USNeurosciences Institute · USUniversity of California, Santa Cruz · US

Funding

Uncovering the Architecture of MetacognitionR01MH119189 · NIMH · GEORGIA INSTITUTE OF TECHNOLOGY · PI RAHNEV, DOBROMIR · 2020 to 2024
$1.5M
National Institute of Mental Health of the National Institutes of Health R01MH119189NIMH NIH HHS R01 MH119189
6 · The paper itself

Abstract

One of the most important human faculties is the ability to acquire not just new memories but the capacity to perform entirely new tasks. However, little is known about the brain mechanisms underlying the learning of novel tasks. Specifically, it is unclear to what extent learning of different tasks depends on domain-general and/or domain-specific brain mechanisms. Here human subjects (n = 45) learned to perform 6 new tasks while undergoing functional MRI. The different tasks required the engagement of perceptual, motor, and various cognitive processes related to attention, expectation, speed-accuracy tradeoff, and metacognition. We found that a bilateral frontoparietal network was more active during the initial compared with the later stages of task learning, and that this effect was stronger for task variants requiring more new learning. Critically, the same frontoparietal network was engaged by all 6 tasks, demonstrating its domain generality. Finally, although task learning decreased the overall activity in the frontoparietal network, it increased the connectivity strength between the different nodes of that network. These results demonstrate the existence of a domain-general brain network whose activity and connectivity reflect learning for a variety of new tasks, and thus may underlie the human capacity for acquiring new abilities.

Indexed as

Brain MappingMetacognitionAttentionBrainHumansLearningMagnetic Resonance Imagingdomain-general learningfMRIfunctional networkinferior frontal gyrustask learning

Identifiers

PMID38282457
PMCPMC11486685
OpenAlexW4391321646

What OpenQuestion holds

Textmetadata
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.