Evidence map›Paper›PMID 28824403›Full record

ArticleFrontiers in human neuroscience2017

Individual Differences in the Accuracy of Judgments of Learning Are Related to the Gray Matter Volume and Functional Connectivity of the Left Mid-Insula.

Xiao Hu, Zhaomin Liu, Wen Chen, Jun Zheng, Ningxin Su, Wenjing Wang, Chongde Lin, Liang Luo

Abstract read
In one paragraph

Article in Frontiers in human neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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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.

Xiao HuCollaborative Innovation Center of Assessment Toward Basic Education Quality, Beijing Normal UniversityBeijing, China.
Zhaomin LiuSchool of Sociology, China University of Political Science and LawBeijing, China.
Wen ChenState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal UniversityBeijing, China.
Jun ZhengCollaborative Innovation Center of Assessment Toward Basic Education Quality, Beijing Normal UniversityBeijing, China.
Ningxin SuCollaborative Innovation Center of Assessment Toward Basic Education Quality, Beijing Normal UniversityBeijing, China.
Wenjing WangState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal UniversityBeijing, China.
Chongde LinInstitute of Developmental Psychology, Beijing Normal UniversityBeijing, China.
Liang LuoCollaborative Innovation Center of Assessment Toward Basic Education Quality, Beijing Normal UniversityBeijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The judgment of learning (JOL) is an important form of prospective metamemory judgment, and the biological basis of the JOL process is an important topic in metamemory research. Although previous task-related functional magnetic resonance imaging (MRI) studies have examined the brain regions underlying the JOL process, the neural correlates of individual differences in JOL accuracy require further investigation. This study used structural and resting-state functional MRI to investigate whether individual differences in JOL accuracy are related to the gray matter (GM) volume and functional connectivity of the bilateral insula and medial Brodmann area (BA) 11, which are assumed to be related to JOL accuracy. We found that individual differences in JOL accuracy were related to the GM volume of the left mid-insula and to the functional connectivity between the left mid-insula and various other regions, including the left superior parietal lobule/precuneus, bilateral inferior parietal lobule/intraparietal sulcus, right frontal pole and left parahippocampal gyrus/fusiform gyrus/cerebellum. Further analyses indicated that the functional connectivity related to individual differences in JOL accuracy could be divided into two factors and might support information integration and selective attention processes underlying accurate JOLs. In addition, individual differences in JOL accuracy were not related to the GM volume or functional connectivity of the medial BA 11. Our findings provide novel evidence for the role of the left mid-insula and its functional connectivity in the JOL process.

Indexed as

functional connectivitygray matter volumeinsulajudgments of learningmetamemory

Identifiers

PMID28824403
PMCPMC5539074

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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.