Evidence map›Paper›PMID 29339474›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2018

Robust prediction of individual creative ability from brain functional connectivity.

Roger E Beaty, Yoed N Kenett, Alexander P Christensen, Monica D Rosenberg, Mathias Benedek, Qunlin Chen, Andreas Fink, Jiang Qiu, Thomas R Kwapil, Michael J Kane and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 264 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
264citing papers in PubMed, 4 pooled it
88.9field-weighted citation impact, top 1% 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

264 citing papers in PubMed, 4 syntheses or guidelines pooled it, 832 citations in OpenAlex.

  1. Pooled it
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  4. Pooled it
  5. Trial
  6. Lower engagement of cognitive control in children on ChatGPT.Cerebral cortex (New York, N.Y. : 1991) · 2026
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204 more citing papers are in PubMed but not listed here.

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

11 authors at 7 institutions in 3 countries.

Roger E BeatyDepartment of Psychology, Harvard University, Cambridge, MA 02143; rbeaty@fas.harvard.edu.
Yoed N KenettDepartment of Psychology, University of Pennsylvania, Philadelphia, PA 19104.ORCID 0000-0003-3872-7689
Alexander P ChristensenDepartment of Psychology, University of North Carolina at Greensboro, Greensboro, NC 27402.
Monica D RosenbergDepartment of Psychology, Yale University, New Haven, CT 06520.ORCID 0000-0001-6179-4025
Mathias BenedekDepartment of Psychology, University of Graz, 8010 Graz, Austria.
Qunlin ChenSchool of Psychology, Southwest University, Chongqing 400715, China.
Andreas FinkDepartment of Psychology, University of Graz, 8010 Graz, Austria.
Jiang QiuSchool of Psychology, Southwest University, Chongqing 400715, China.
Thomas R KwapilDepartment of Psychology, University of Illinois at Urbana-Champaign, Champaign, IL 61820.
Michael J KaneDepartment of Psychology, University of North Carolina at Greensboro, Greensboro, NC 27402.
Paul J SilviaDepartment of Psychology, University of North Carolina at Greensboro, Greensboro, NC 27402.
University of North Carolina at Greensboro · USSouthwest University · CNUniversity of Graz · ATHarvard University · USUniversity of Illinois Urbana-Champaign · USUniversity of Pennsylvania · USYale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

People's ability to think creatively is a primary means of technological and cultural progress, yet the neural architecture of the highly creative brain remains largely undefined. Here, we employed a recently developed method in functional brain imaging analysis-connectome-based predictive modeling-to identify a brain network associated with high-creative ability, using functional magnetic resonance imaging (fMRI) data acquired from 163 participants engaged in a classic divergent thinking task. At the behavioral level, we found a strong correlation between creative thinking ability and self-reported creative behavior and accomplishment in the arts and sciences (

Indexed as

CreativityThinkingAdultBehaviorBrainBrain MappingCognitionConnectomeFemaleHumansLinear ModelsMagnetic Resonance ImagingMaleNerve NetYoung Adultconnectomecreativitydivergent thinkingfMRI

Identifiers

PMID29339474
PMCPMC5798342
OpenAlexW2782673913

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.