Title |
Neural correlates of verbal creativity: differences in resting-state functional connectivity associated with expertise in creative writing
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Published in |
Frontiers in Human Neuroscience, July 2014
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DOI | 10.3389/fnhum.2014.00516 |
Pubmed ID | |
Authors |
Martin Lotze, Katharina Erhard, Nicola Neumann, Simon B. Eickhoff, Robert Langner |
Abstract |
Neural characteristics of verbal creativity as assessed by word generation tasks have been recently identified, but differences in resting-state functional connectivity (rFC) between experts and non-experts in creative writing have not been reported yet. Previous electroencephalography (EEG) coherence measures during rest demonstrated a decreased cooperation between brain areas in association with creative thinking ability. Here, we used resting-state functional magnetic resonance imaging to compare 20 experts in creative writing and 23 age-matched non-experts with respect to rFC strengths within a brain network previously found to be associated with creative writing. Decreased rFC for experts was found between areas 44 of both hemispheres. Increased rFC for experts was observed between right hemispheric caudate and intraparietal sulcus. Correlation analysis of verbal creativity indices (VCIs) with rFC values in the expert group revealed predominantly negative associations, particularly of rFC between left area 44 and left temporal pole. Overall, our data support previous findings of reduced connectivity between interhemispheric areas and increased right-hemispheric connectivity during rest in highly verbally creative individuals. |
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Geographical breakdown
Country | Count | As % |
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Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
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Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
Geographical breakdown
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Japan | 1 | 1% |
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Demographic breakdown
Readers by professional status | Count | As % |
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Student > Master | 14 | 14% |
Researcher | 10 | 10% |
Student > Doctoral Student | 9 | 9% |
Student > Bachelor | 9 | 9% |
Other | 23 | 23% |
Unknown | 20 | 20% |
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Neuroscience | 11 | 11% |
Medicine and Dentistry | 7 | 7% |
Engineering | 5 | 5% |
Agricultural and Biological Sciences | 4 | 4% |
Other | 16 | 16% |
Unknown | 25 | 25% |