Evidence map›Paper›PMID 34469816›Full record

ArticleNeuroImage2021

Spontaneous and deliberate modes of creativity: Multitask eigen-connectivity analysis captures latent cognitive modes during creative thinking.

Hua Xie, Roger E Beaty, Sahar Jahanikia, Caleb Geniesse, Neeraj S Sonalkar, Manish Saggar

Abstract read
In one paragraph

Article in NeuroImage, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Creative therapy in health and disease: Inner vision.CNS neuroscience & therapeutics · 2024
    Review
  4. Creativity in verbal associations is linked to semantic control.Cerebral cortex (New York, N.Y. : 1991) · 2023
    Article
  5. The light side of gaming: creativity and brain plasticity.Frontiers in human neuroscience · 2023
    Article
  6. 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

6 authors.

Hua XieDepartment of Psychiatry and Behavioral Sciences, Stanford University, USA.
Roger E BeatyDepartment of Psychology, Pennsylvania State University, USA.
Sahar JahanikiaDepartment of Psychiatry and Behavioral Sciences, Stanford University, USA.
Caleb GeniesseBiophysics Program, Stanford University, USA.
Neeraj S SonalkarCenter for Design Research, Stanford University, USA.
Manish SaggarDepartment of Psychiatry and Behavioral Sciences, Stanford University, USA. Electronic address: saggar@stanford.edu.

Funding

Only time will tell: a computational psychiatry approach to model temporal transitions in brain activity as a lens towards developing better diagnostic nosology for psychiatric illnessDP2MH119735 · NIMH · STANFORD UNIVERSITY · PI SAGGAR, MANISH · 2018 to 2018
$2.4M
NIMH NIH HHS DP2 MH119735
6 · The paper itself

Abstract

Despite substantial progress in the quest of demystifying the brain basis of creativity, several questions remain open. One such issue concerns the relationship between two latent cognitive modes during creative thinking, i.e., deliberate goal-directed cognition and spontaneous thought generation. Although an interplay between deliberate and spontaneous thinking is often implicated in the creativity literature (e.g., dual-process models), a bottom-up data-driven validation of the cognitive processes associated with creative thinking is still lacking. Here, we attempted to capture the latent modes of creative thinking by utilizing a data-driven approach on a novel continuous multitask paradigm (CMP) that widely sampled a hypothetical two-dimensional cognitive plane of deliberate and spontaneous thinking in a single fMRI session. The CMP consisted of eight task blocks ranging from undirected mind wandering to goal-directed working memory task, while also included two widely-used creativity tasks, i.e., alternate uses task (AUT) and remote association task (RAT). Using eigen-connectivity (EC) analysis on the multitask whole-brain functional connectivity (FC) patterns, we embedded the multitask FCs into a low-dimensional latent space. The first two latent components, as revealed by the EC analysis, broadly mapped onto the two cognitive modes of deliberate and spontaneous thinking, respectively. Further, in this low-dimensional space, both creativity tasks were located in the upper right corner of high deliberate and spontaneous thinking (creative cognitive space). Neuroanatomically, the creative cognitive space was represented by not only increased intra-network connectivity within executive control and default mode network, but also by higher coupling between the two canonical brain networks. Further, individual differences reflected in the low-dimensional connectivity embeddings were related to differences in deliberate and spontaneous thinking abilities. Altogether, using a continuous multitask paradigm and a data-driven approach, we provide initial empirical evidence for the contribution of both deliberate and spontaneous modes of cognition during creative thinking.

Indexed as

CreativityAdultBrainBrain MappingCognitionExecutive FunctionHumansMagnetic Resonance ImagingNerve NetThinkingYoung AdultCreativityDeliberate/spontaneous thinkingDual-process modelEigen-connectivityMultitask fMRIWhole-brain functional connectivity

Identifiers

PMID34469816
PMCPMC8497437

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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.