Evidence map›Paper›PMID 33976306›Full record

ArticleScientific reports2021

Neural correlates of individual variation in two-back working memory and the relationship with fluid intelligence.

Guangfei Li, Yu Chen, Thang M Le, Wuyi Wang, Xiaoying Tang, Chiang-Shan R Li

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

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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 at 2 institutions in 2 countries.

Guangfei Li *Department of Biomedical Engineering, School of Life Sciences, Beijing Institute of Technology, Beijing, China.
Yu Chen *Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
Thang M LeDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
Wuyi WangDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
Xiaoying TangDepartment of Biomedical Engineering, School of Life Sciences, Beijing Institute of Technology, Beijing, China. xiaoying@bit.edu.cn.
Chiang-Shan R LiDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA. chiang-shan.li@yale.edu.
Yale University · USBeijing Institute of Technology · CN

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

Working memory has been examined extensively using the N-back task. However, less is known about the neural bases underlying individual variation in the accuracy rate (AR) and reaction time (RT) as metrics of N-back performance. Whereas AR indexes the overall performance, RT may more specifically reflect the efficiency in updating target identify. Further, studies have associated fluid intelligence (Gf) with working memory, but the cerebral correlates shared between Gf and N-back performance remain unclear. We addressed these issues using the Human Connectome Project dataset. We quantified the differences in AR (critical success index or CSI) and RT between 2- and 0-backs (CSI

Indexed as

AdultBrainFemaleHumansIntelligenceMagnetic Resonance ImagingMaleMemory, Short-TermReaction TimeYoung Adult

Identifiers

PMID33976306
PMCPMC8113462
OpenAlexW3162457567

What Socratic holds

Textmetadata
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 Socratic graph.