Representing creative thought: A representational similarity analysis of creative idea generation and evaluation

Matheson, Heath E.; Kenett, Yoed N.; Gerver, Courtney R.; Beaty, Roger E.

doi:10.1016/j.neuropsychologia.2023.108587

Cited by 9 publications

(14 citation statements)

References 79 publications

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“…If we consider that achieving adequacy requires exploring candidate ideas and sorting through them to find the most adequate one, it makes sense for this to be associated with cognitive control processes and, therefore, supported by the ECN. However, contrary to our results, others find that the ECN supports the evaluation of an idea’s originality (25,26,29).…”

Section: Discussioncontrasting

confidence: 99%

“…First, several studies, like ours, report that idea evaluation can be partly supported by the DMN (10,23,23,24). Some, even more in alignment with our results, precise that the DMN is related to originality processing (25,26,30). If we consider that achieving originality requires making new associations, it makes sense that the DMN, which has consistently been associated with associative processes during generation, would encode this dimension during evaluation.…”

Section: Discussionsupporting

confidence: 91%

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The human reward system encodes the subjective value of ideas during creative thinking

Moreno-Rodriguez,

Béranger,

Volle

et al. 2024

Preprint

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Why do people have different opinions regarding who the best musical artist is? While neuroscience of creativity consensually defines creativity as producing something both original and adequate, how this is influenced by individual preferences remains unclear. Combining creative word-association and rating tasks, this study demonstrates that individuals assign subjective values to ideas, balancing originality and adequacy according to individual preferences and impacting their creative abilities. Functional Magnetic Resonance Imaging shows that subjective valuation is supported by the Brain Valuation System and that originality and adequacy are monitored via the Default Mode and the Executive Control Networks, respectively. Interestingly, the relative functional connectivity of the Default Mode and Executive Control Networks with the Brain Valuation System correlates with the relative balance of adequacy and originality in individuals' preferences. These results bridge a gap in the current literature by adding valuation to the incomplete behavioral and neural accounts of creativity, and offer perspectives on the influence of individual preferences on creative abilities.

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Section: Discussioncontrasting

confidence: 99%

Section: Discussionsupporting

confidence: 91%

The human reward system encodes the subjective value of ideas during creative thinking

Moreno-Rodriguez,

Béranger,

Volle

et al. 2024

Preprint

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“…Our tools show that what is critical is how the pattern of connections across these large-scale systems changes across time in support of creative behavior (see also Ref. 52 ). Specifically, our results reveal that for creative generation the interaction between response type and task for the reconfiguration measure was significant for the default mode and salience networks only, but not the executive network.…”

Section: Discussionmentioning

confidence: 93%

“…However, the precise neural dynamics that support the generation and evaluation of creative ideas within the same person remain poorly understood (cf. 32,52 ). Although past research 6,7,21,51 has employed functional connectivity measures, these studies have generally relied on the average co-activation of regions across the brain, which is sub-optimal for precisely capturing critical, time-sensitive information on the dynamic contributions of particular brain regions during a creative task.…”

Section: Discussionmentioning

confidence: 99%

Neural Dynamics During the Generation and Evaluation of Creative and Non-Creative Ideas

Kenett,

Chrysikou,

Bassett

et al. 2024

Preprint

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What are the neural dynamics that drive creative thinking? Recent studies have provided much insight into the neural mechanisms of creative thought. Specifically, the interaction between the executive control, default mode, and salience brain networks has been shown to be an important marker of individual differences in creative ability. However, how these different brain systems might be recruited dynamically during the two key components of the creative process - generation and evaluation of ideas - remains far from understood. In the current study we applied state-of-the-art network neuroscience methodologies to examine the neural dynamics related to the generation and evaluation of creative and non-creative ideas using a novel within-subjects design. Participants completed two functional magnetic resonance imaging sessions, taking place a week apart. In the first imaging session, participants generated either creative (alternative uses) or non-creative (common characteristics) responses to common objects. In the second imaging session, participants evaluated their own creative and non-creative responses to the same objects. Network neuroscience methods were applied to examine and directly compare reconfiguration, integration, and recruitment of brain networks during these four conditions. We found that generating creative ideas led to significantly higher network reconfiguration than generating non-creative ideas, whereas evaluating creative and non-creative ideas led to similar levels of network integration. Furthermore, we found that these differences were attributable to different dynamic patterns of neural activity across the executive control, default mode, and salience networks. This study is the first to show within-subject differences in neural dynamics related to generating and evaluating creative and non-creative ideas.

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“…Within this framework, incrementally larger values > 1 indicate greater support for the data under H 1 ; incrementally lower values < 1 indicate greater support for the data under H 0 . Recently, a growing number of studies have adopted Bayes factors for group-level neuroimaging analyses, particularly in the context of MVPA (e.g., Grootswagers, Robinson, & Carlson, 2019; Grootswagers, Robinson, Shatek, et al, 2019; Kaiser et al, 2018; Matheson et al, 2023; Moerel et al, 2022; Proklova et al, 2019; Teichmann et al, 2021). Teichmann et al (2021) and Matheson et al (2023) have argued in favour of Bayes factors over p values in MVPA research, primarily because Bayes factors are actually informative as to strength of evidence (as opposed to dichotomous acceptance or rejection of H 1 ), and are not susceptible to multiple comparison problems (Dienes, 2016; Teichmann et al, 2022).…”

Section: Methodsmentioning

confidence: 99%

Differential weighting of information during aloud and silent reading: Evidence from representational similarity analysis of fMRI data

Bailey,

Matheson,

Fawcett

et al. 2024

Preprint

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Single word reading depends on multiple types of information processing: readers must process low-level visual properties of the stimulus, form orthographic and phonological representations of the word, and retrieve semantic content from memory. Reading aloud introduces an additional type of processing wherein readers must execute an appropriate sequence of articulatory movements necessary to produce the word. To date, cognitive and neural differences between aloud and silent reading have mainly been ascribed to articulatory processes. However, it remains unclear whether articulatory information is used to discriminate unique words, at the neural level, during aloud reading. Moreover, very little work has investigated how other types of information processing might differ between the two tasks. The current work used representational similarity analysis (RSA) to interrogate fMRI data collected while participants read single words aloud or silently. RSA was implemented using a whole-brain searchlight procedure to characterize correspondence between neural data and each of five models representing a discrete type of information. Compared with reading silently, reading aloud elicited greater decodability of visual, phonological, semantic, and articulatory information. This occurred mainly in prefrontal and parietal areas implicated in speech production and cognitive control. By contrast, silent reading elicited greater decodability of orthographic information in right anterior temporal lobe. These results support an adaptive view of reading whereby information is weighted according to its task relevance, in a manner that best suits the reader’s goals.Differential weighting of information during aloud and silent reading: Evidence from representational similarity analysis of fMRI data

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Representing creative thought: A representational similarity analysis of creative idea generation and evaluation

Cited by 9 publications

References 79 publications

The human reward system encodes the subjective value of ideas during creative thinking

The human reward system encodes the subjective value of ideas during creative thinking

Neural Dynamics During the Generation and Evaluation of Creative and Non-Creative Ideas

Differential weighting of information during aloud and silent reading: Evidence from representational similarity analysis of fMRI data

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