Evidence map›Paper›PMID 34381343›Full record

ArticleFrontiers in human neuroscience2021

Cortical Networks of Creative Ability Trace Gene Expression Profiles of Synaptic Plasticity in the Human Brain.

William Orwig, Ibai Diez, Elisenda Bueichekú, Patrizia Vannini, Roger Beaty, Jorge Sepulcre

Abstract read
In one paragraph

Article in Frontiers in human neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
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.

William OrwigDepartment of Radiology, Gordon Center for Medical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States.
Ibai DiezDepartment of Radiology, Gordon Center for Medical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States.
Elisenda BueichekúDepartment of Radiology, Gordon Center for Medical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States.
Patrizia VanniniDepartment of Neurology, Brigham and Women's Hospital, Boston, MA, United States.
Roger BeatyDepartment of Psychology, The Pennsylvania State University, University Park, PA, United States.
Jorge SepulcreDepartment of Radiology, Gordon Center for Medical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States.

Funding

Decoding neural systems underlying anosognosia for memory loss in aging and Alzheimer's diseaseR01AG061083 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI VANNINI, PATRIZIA · 2019 to 2023
$4.3M
Genetic Profiles of the Spatiotemporal Causality of Tau and Amyloid in the Elderly BrainR01AG061445 · NIA · YALE UNIVERSITY · PI SEPULCRE, JORGE · 2019 to 2023
$1.9M
Sensory and Motor Streams in Preclinical and Clinical Stages of Alzheimer's DiseaseR01AG061811 · NIA · YALE UNIVERSITY · PI SEPULCRE, JORGE · 2019 to 2023
$1.7M
Novel diffusion-weighted MRI assessment of cortical microstructural changes and their relationship to amyloid, tau and cognition in aging and Alzheimer's disease.R21AG064348 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI VANNINI, PATRIZIA · 2019 to 2020
$492k
NIA NIH HHS R01 AG061083NIA NIH HHS R01 AG061445NIA NIH HHS R01 AG061811
6 · The paper itself

Abstract

The ability to produce novel ideas is central to societal progress and innovation; however, little is known about the biological basis of creativity. Here, we investigate the organization of brain networks that support creativity by combining functional neuroimaging data with gene expression information. Given the multifaceted nature of creative thinking, we hypothesized that distributed connectivity would not only be related to individual differences in creative ability, but also delineate the cortical distributions of genes involved in synaptic plasticity. We defined neuroimaging phenotypes using a graph theory approach that detects local and distributed network circuits, then characterized the spatial associations between functional connectivity and cortical gene expression distributions. Our findings reveal strong spatial correlations between connectivity maps and sets of genes devoted to synaptic assembly and signaling. This connectomic-transcriptome approach thus identifies gene expression profiles associated with high creative ability, linking cognitive flexibility to neural plasticity in the human brain.

Indexed as

creativityfMRIfunctional connectivitygeneticssynaptic plasticity

Identifiers

PMID34381343
PMCPMC8350487

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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.