Creative Cognition and Brain Network Dynamics
Open accessAbstract
Creative thinking is central to the arts, sciences, and everyday life. How does the brain produce creative thought? A series of recently published papers has begun to provide insight into this question, reporting a strikingly similar pattern of brain activity and connectivity across a range of creative tasks and domains, from divergent thinking to poetry composition to musical improvisation. This research suggests that creative thought involves dynamic interactions of large-scale brain systems, with the most compelling finding being that the default and executive control networks, which can show an antagonistic relation, tend to cooperate during creative cognition and artistic performance. These findings have implications for understanding how brain networks interact to support complex cognitive processes, particularly those involving goal-directed, self-generated thought.
AI snapshot
Written from the paper’s full text.
TL;DR
This review argues that creative thinking emerges from dynamic interplay between default and executive control brain systems, especially when self-generated thought is guided by task goals. It synthesizes neuroimaging evidence from divergent thinking and artistic performance to propose that default regions generate candidate ideas while control regions evaluate and constrain them.
Key findings
- Across divergent thinking, poetry composition, musical improvisation, and visual art, studies report cooperation or coupling between default and control network regions, contrary to their usual antagonistic relationship.
- In a poetry composition study, ICA identified five hierarchical clusters, including default and control clusters; during spontaneous generation these clusters were negatively correlated, but their correlation increased during revision/evaluation.
- In musical improvisation, constraining pianists to specific pitch sets increased DLPFC coupling with motor-control regions, whereas expressing specific emotions increased DLPFC–default network connectivity.
- The proposed framework holds that the default network supplies candidate ideas from memory and self-generated thought, while the control network monitors, selects, inhibits, and modifies ideas to meet goals; coupling may weaken when goals are vague or top-down constraints are relaxed.
Methods
- Narrative review and integrative framework, not a primary empirical study.
- Draws on recent fMRI and functional connectivity studies of domain-general creativity (e.g., alternate uses divergent thinking) and domain-specific artistic performance (music, poetry, visual art).
- Synthesizes findings from cited experiments using seed-based, dynamic functional connectivity, ICA, and univariate analyses to support a default–control interaction model.
Limitations
- Stated: the authors explicitly exclude research on creative insight and refer readers elsewhere; no formal limitations section is provided.
- Evident from the text: it is a selective narrative synthesis rather than a systematic review or meta-analysis, with no new data or quantitative pooling.
- Evident: conclusions rest on a limited set of cited neuroimaging studies across different tasks and domains, and the authors note default–control coupling is not ubiquitous, so boundary conditions remain to be clarified.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
54 of 88 cited sources checked · 35 supported · 0 flagged · accuracy not yet measured
- Premisecitation
Self-generated thoughts can benefit from goal-directed processing and cognitive control.
“Although self-generated thoughts can occur spontaneously in mind, they also have been shown to benefit from goal-directed processing and cognitive control [5].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [5] sourceExperimental — accuracy not yet measured
- Premisecitation
Processes involving default-control cooperation typically involve top-down modulation of self-generated information.
“Such processes typically involve the top-down modulation of self-generated information [5].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [5] source
- Premisecitation
The default and control networks have also shown cooperation during several cognitive processes.
“Importantly, the default and control networks have also shown cooperation during several cognitive processes [8, 17–21].”
Quote in the paperSubstantial claim5 of 6 sources checked- cites [8] source
- cites [17] source
The Discussion reports activation of cognitive-control regions during reappraisal, but does not assess cooperation between default and control networks. Searches for “default mode” and “cooperation between default and control networks” found no passage addressing that relationship across cognitive processes. The indexed passages provide no page numbers. (LLM, conf=0.75)
Experimental — accuracy not yet measured - cites [18] source
- cites [19] source
- cites [20] source
- cites [21] source
- Interpretationcitation
Memory systems may play a key role in the generation of candidate ideas across domain-general and domain-specific contexts.
“We suspect that memory systems may play a key role in the generation of candidate ideas across domain-general and domain-specific contexts (cf. [52]).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [52] source
The Introduction links memory search and retrieval to generating unusual associations and a larger pool of novel ideas. The Discussion proposes that semantic-memory structure constrains search in the Remote Associates Test. These passages support a role for memory in generating candidate ideas, but they do not establish that role across both domain-general and domain-specific contexts. (LLM, conf=0.83)
Experimental — accuracy not yet measured
- Premisecitation
Performance on the alternate uses task was positively correlated with the number of episodic details participants reported when they imagined future personal experiences.
“Moreover, a study of healthy young and older adults reported that performance on the alternate uses task was positively correlated with the number of episodic details that participants reported when they imagined future personal experiences [71].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [71] source
- Premisecitation
In visual artists, functional connectivity analysis revealed increased coupling of default and control network regions during idea evaluation.
“Moreover, a functional connectivity analysis revealed increased coupling of default and control network regions during idea evaluation, consistent with the poetry composition study described above [34].”
Quote in the paperSubstantial claim1 of 2 sources checked - Premisecitation
Recent research points to an important role of the default network and episodic memory in creative cognition.
“Recent research points to an important role of the default network and episodic memory in creative cognition ([50–51]; see Box 1).”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [50] source
The Discussion (‘The generation of new vs. old ideas’; page unavailable) proposes that episodic-memory recall may be crucial for generating novel ideas. The Discussion (‘Divergent thinking effects’; page unavailable) reports deactivation of default-mode-network regions during divergent thinking, but interprets it as possibly reflecting general goal-directed processing, not an important creative role for the network. (LLM, conf=0.82)
Experimental — accuracy not yet measured - cites [51] source
- Premisecitation
During an alternate uses divergent thinking task, whole-brain functional connectivity analysis identified a network of brain regions including default, control, and salience networks.
“Whole-brain functional connectivity analysis was used to identify a network of brain regions associated with divergent thinking, which included several regions of the default, control, and salience networks (see Figure 1A).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [26] source
- Premisecitation
The default network shows robust activation when people imagine future experiences.
“The default network has shown robust activation when people imagine future experiences [14, 22–23].”
Quote in the paperSubstantial claim1 of 3 sources checked - Premisecitation
The default and control networks cooperate during autobiographical future planning, which involves constructing a detailed and sequential mental representation of a future goal state.
“For example, the default and control networks show cooperation during autobiographical future planning—constructing a detailed and sequential mental representation about a future goal state [10, 19, 24].”
Quote in the paperSubstantial claim2 of 3 sources checked - Premisecitation
Highly creative participants showed increased coupling of default network regions with the left inferior frontal gyrus.
“Highly creative participants showed increased coupling of default network regions with the left inferior frontal gyrus, a region associated with cognitive control that is widely implicated in studies of divergent thinking [37].”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [25] source
- cites [37] source
The Discussion section on semantic and executive roles links the left inferior frontal region to cognitive control and divergent-thinking performance. It does not report increased coupling between default-network regions and the left inferior frontal gyrus in highly creative participants; the paper is a meta-analysis of task-related imaging findings, not a comparison of connectivity by creativity level. Page numbers are unavailable in our copy. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Interpretationcitation
During poetry revision, the correlation between default and control networks increased, suggesting that evaluating and revising self-generated poetry involves relatively increased cooperation of the default and control systems.
“During idea revision, however, the correlation between the networks increased, suggesting that evaluating and revising self-generated poetry involves relatively increased cooperation of the default and control systems.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [34] source
The Results (Functional Connectivity during Generation and Revision Phases in All Subjects; page unavailable) report that the clusters were significantly anti-correlated during poetry generation and that this relationship was markedly attenuated during revision. The Discussion (The Creative Process; page unavailable) describes them as uncoupled during revision, not as showing increased cooperative coupling. The change in correlation is supported, but the interpretation as increased cooperation goes beyond what the paper reports. (LLM, conf=0.84)
Experimental — accuracy not yet measured
- Premisecitation
During divergent thinking, the posterior cingulate cortex showed increased coupling with control network regions such as DLPFC and salience network regions such as bilateral insula and anterior cingulate.
“As depicted in Figure 1B, the posterior cingulate cortex (PCC) showed increased coupling with regions of the control network (i.e., DLPFC) and salience network (i.e., bilateral insula and anterior cingulate).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [26] source
- Premisecitation
During poetry composition, default and control network clusters were negatively correlated during idea generation.
“During idea generation, the default and control network clusters were negatively correlated (see Figure 3C).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [34] source
- Premisecitation
A subset of default network regions called the core network is similarly engaged when people remember past experiences and imagine future experiences.
“More specifically, a subset of default network regions referred to as the core network [22] is similarly engaged when people are asked to remember past experiences (i.e., episodic memory) and imagine future experiences (i.e., episodic simulation; for a recent meta-analysis, see [68]).”
Quote in the paperSubstantial claim1 of 2 sources checked - Premisecitation
Cognitive control systems can be recruited to evaluate and modify candidate ideas to meet specific goals, consistent with behavioral and neuroimaging evidence.
“Although memory retrieval appears to play an important role in idea generation, cognitive control systems can also be recruited to evaluate and modify candidate ideas to meet specific goals, in line with behavioral [53–59] and neuroimaging [37, 60–64] evidence showing consistent involvement of executive mechanisms in creative thought.”
Quote in the paperSubstantial claim5 of 10 sources checked- cites [53] source
The Conclusion (p. 11) reports that mechanisms associated with executive processes predicted the quality of creative metaphors. The present research (p. 4) describes maintaining a goal during semantic search and managing interference from inapt information. These passages support a role for cognitive control in creative production, but the study does not directly show that people evaluate and modify candidate ideas; it also provides behavioral, not neuroimaging, evidence. (LLM, conf=0.82)
Experimental — accuracy not yet measured - cites [54] source
The Discussion (page unavailable) reports that updating and inhibition predict divergent-thinking creativity and describes working memory as maintaining creative-task goals and supporting the manipulation of concepts. This supports the involvement of cognitive control in goal-directed creative thought, but the paper does not establish that these systems evaluate and modify candidate ideas specifically. Its neuroimaging discussion concerns attention during idea generation, not that evaluation-and-modification process. (LLM, conf=0.82)
Experimental — accuracy not yet measured - cites [55] source
The Conclusion (p. 11) reports that executive-related abilities predicted the quality of creative metaphors, and The present research (p. 4) describes maintaining a goal and managing interference from inapt ideas. The paper does not establish that those abilities specifically evaluate and modify candidate ideas; the Discussion (p. 11) says their precise role in metaphor production remains to be examined. This source is cited among the behavioral evidence, not the neuroimaging evidence. (LLM, conf=0.82)
Experimental — accuracy not yet measured - cites [56] source
- cites [57] source
The section on executive interpretations of divergent thinking says that generating creative responses requires managing interference and using a useful strategy. Study 1 also links executive switching to creativity, supporting behavioral involvement of executive processes. The paper does not show that these processes evaluate and modify candidate ideas to meet specific goals; its evidence concerns generating responses and choosing strategies. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites [58] source
- cites [59] source
- cites [37] source
- cites [60] source
- cites [61] source
- Premiseown data
Dynamic functional connectivity during divergent thinking showed differential coupling of network hubs over time, with the PCC coupling early with right anterior insula and later with right DLPFC.
“Moreover, dynamic functional connectivity analysis showed differential coupling of network hubs across the task duration; for example, the PCC showed early coupling with the right anterior insula and later coupling with the right DLPFC, among other regions (see Figure 1C).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [26] source
The Results (ROI-to-ROI Temporal Connectivity; page unavailable) report early PCC coupling with the bilateral insula and later coupling with the right DLPFC during divergent thinking. The copy identifies the right insula but does not specify its anterior portion, so that anatomical detail is not verified. (LLM, conf=0.84)
Experimental — accuracy not yet measured
- Interpretationcitation
The default network contributes to generating candidate ideas, which are potentially useful information derived from long-term memory.
“We suggest that the default network contributes to the generation of candidate ideas—potentially useful information derived from long-term memory—in light of its role in self-generated cognition (e.g., episodic memory; [5]).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [5] source
- Premisecitation
Amnesic patients with hippocampal damage and severe episodic memory deficits also perform poorly on the Torrance Tests of Creative Thinking.
“Amnesic patients with hippocampal damage, who have severe episodic memory deficits, also perform poorly on the widely used Torrance Tests of Creative Thinking [69].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [69] source
- Premisecitation
Creative thought may benefit from dynamic interactions of the default and control networks.
“Our research group and others have previously noted that creative thought may benefit from dynamic interactions of the default and control networks [25–29].”
Quote in the paperSubstantial claim4 of 5 sources checked - Interpretationcitation
Creative thought involves similar cognitive and neural mechanisms as other forms of goal-directed, self-generated cognition, such as autobiographical future planning.
“We propose that creative thought involves similar cognitive and neural mechanisms as other forms of goal-directed, self-generated cognition (e.g., autobiographical future planning; [10, 19, 24]).”
Quote in the paperSubstantial claim2 of 3 sources checked - Interpretationcitation
The control network may modify and direct self-generated thoughts to meet the demands of task-specific goals.
“In this context, the control network may modify and direct self-generated thoughts to meet the demands of task-specific goals [10–11, 20].”
Quote in the paperSubstantial claim3 of 3 sources checked- cites [10] source
- cites [11] source
- cites [20] source
The Discussion (page unavailable) reports that default-network activity can facilitate cognitive control when internal representations are congruent with task goals. It does not establish that the control network itself modifies or directs self-generated thoughts; that proposed mechanism goes beyond the finding. (LLM, conf=0.78)
Experimental — accuracy not yet measured
- Premisecitation
Previous work showed that an episodic specificity induction selectively boosts the number of episodic details on subsequent remembering and future imagining tasks, with no effect on semantic details.
“Previous work had shown that the specificity induction selectively boosts the number of episodic details that participants provide on subsequent tasks that require remembering past experiences and imagining future experiences, while having no effect on the number of semantic details that participants provide on such tasks ([73]; for review, see [74]).”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [73] source
Experiment 1 (Results) and Experiment 2 (Results and Discussion) report increased internal, episodic details on both memory and imagination tasks, with no significant change in external details. The Coding section defines external details as semantic, repetitive, or off-topic; because semantic details were not reported separately, the paper does not establish the claimed lack of effect on semantic details specifically. Page numbers were unavailable in our copy. (LLM, conf=0.82)
Experimental — accuracy not yet measured - cites [74] source
- Premisecitation
The default and control networks can exhibit an antagonistic relationship at rest and during many cognitive tasks.
“The default and control networks can exhibit an antagonistic relationship at rest and during many cognitive tasks.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Creative cognition may involve goal-directed, self-generated thought processes, especially when cognition must be constrained to meet specific task demands.
“We suggest that creative cognition may also involve such goal-directed, self-generated thought processes, particularly when cognition must be constrained to meet specific task demands.”
Quote in the paperSubstantial claim - Interpretationreasoning
The default and executive control networks cooperate during creative cognition and artistic performance.
“the most compelling finding being that the default and executive control networks, which can show an antagonistic relationship, actually cooperate during creative cognition and artistic performance.”
- Also stated in: § Concluding Remarks · hedged
“This emerging literature suggests that creative thought involves cooperation of the default and control networks—similar to other forms of goal-directed, self-generated thought—and that the extent of control network involvement may depend on the extent to which creative thought is constrained to meet specific task goals.”
Quote in the paperSubstantial claim- Rests on an assumption: Functional connectivity or coupling between brain regions indexes cooperation or interaction between the corresponding large-scale networks.
- Also stated in: § Concluding Remarks · hedged
- Interpretationreasoning
Creative thought involves dynamic interactions among large-scale brain systems.
“This research suggests that creative thought involves dynamic interactions of large-scale brain systems, with the most compelling finding being that the default and executive control networks, which can show an antagonistic relationship, actually cooperate during creative cognition and artistic performance.”
- Also stated in: § Brain Networks and Creative Cognition: An Integrative Framework · hedged
“The research described above suggests that creative cognition involves dynamic interaction of the default and control networks.”
Quote in the paperSubstantial claim- Rests on an assumption: Functional connectivity or coupling between brain regions indexes cooperation or interaction between the corresponding large-scale networks.
- Also stated in: § Brain Networks and Creative Cognition: An Integrative Framework · hedged
- Premisecitation
The creative quality of divergent thinking responses predicted increased functional coupling of the ventral ACC and the left angular gyrus.
“Using a divergent thinking task paradigm similar to the one described above [26], a recent study found that the creative quality of divergent thinking responses, assessed via trained raters, predicted increased functional coupling of the ventral ACC and the left angular gyrus, regions involved in cognitive control and self-generated thought, respectively [32].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [32] source
- Premisecitation
A primary function of the default network is episodic memory retrieval.
“As noted above, a primary function of the default network is episodic memory retrieval [22].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [22] source
- Interpretationreasoning
The control network is often required to evaluate candidate ideas and modify them to meet the constraints of task-specific goals.
“Yet the control network is often required to evaluate the efficacy of candidate ideas and modify them to meet the constraints of task-specific goals.”
Quote in the paperSubstantial claim - Interpretationreasoning
Goal-directed, self-generated thought appears to involve both the generative functions of the default network and the strategic functions of the control network.
“Goal-directed, self-generated thought thus appears to involve both the generative functions of the default network and the strategic functions of the control network.”
Quote in the paperSubstantial claim - Interpretationreasoning
The control and default networks may cooperate to leverage both top-down and bottom-up processes during creative cognition.
“Thus, the control and default networks may cooperate to leverage both top-down (executive) and bottom-up (generative) processes during creative cognition.”
Quote in the paperSubstantial claim - Interpretationcitation
Early coupling between default and salience networks was interpreted as an intermediate switching mechanism that facilitated later coupling between default and control networks.
“In light of the right anterior insula’s role as a node of the salience network, a network involved in switching between the default and control networks [18], early coupling between default and salience networks was interpreted as an intermediate switching mechanism that facilitated later coupling between default and control networks.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [18] source
- Interpretationreasoning
Taken together, these findings indicate that creative thought may benefit from cooperation of default and control network regions.
“Taken together, these findings indicate that creative thought may benefit from the cooperation of default and control network regions.”
Quote in the paperSubstantial claim - Premisecitation
Expressing emotion during musical improvisation was associated with increased functional connectivity between the DLPFC and the default network.
“Expressing emotion, in contrast, was associated with increased functional connectivity between the DLPFC and the default network (see Figure 2B).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [35] source
- Premisecitation
Constraining musical improvisation to specific pitch sets increased coupling of the DLPFC with cognitive and motor control regions including the dorsal pre-motor area and pre-supplementary motor area.
“Constraining performance to specific pitch sets revealed increased coupling of the DLPFC and several regions associated with cognitive and motor control, including the dorsal pre-motor area and the pre-supplementary motor area (see Figure 2A).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [35] source
- Interpretationreasoning
Creative cognition involves dynamic interaction of the default and control networks.
“The research described above suggests that creative cognition involves dynamic interaction of the default and control networks.”
Quote in the paperSubstantial claim - Premisecitation
Healthy young adults sometimes draw on episodic memories when performing the alternate uses divergent thinking task, although this retrieval occurs infrequently.
“It has also been reported that healthy young adults sometimes draw on episodic memories when performing the alternate uses divergent thinking task mentioned earlier, although retrieval of episodic memories during performance of this task occurred infrequently [70].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [70] source
- Interpretationcitation
Both poetry and visual art experiments showed that idea evaluation involves increased functional coupling of the default and control networks.
“Both experiments showed that idea evaluation involves increased functional coupling of the default and control networks.”
Quote in the paperSubstantial claim - Interpretationreasoning
During strategic expression of emotionally based improvisation, the DLPFC may exert top-down influence over generative processes stemming from the default network.
“In this context, the DLPFC may exert top-down influence over generative processes stemming from the default network during the strategic expression of emotionally-based improvisation.”
Quote in the paperSubstantial claim - Interpretationcitation
The task goal of expressing a specific emotion may recruit strategic and top-down mechanisms of the control network, which may oversee spontaneous generation of candidate ideas originating in the default network.
“Thus, the task goal of expressing a specific emotion may recruit the strategic and top-down mechanisms of the control network, which may oversee the spontaneous generation of candidate ideas originating in the default network.”
Quote in the paperSubstantial claim - Interpretationreasoning
Default-control network coupling may depend on the extent to which creative cognition relies on goal-directed processing.
“Default-control network coupling may therefore depend on the extent to which creative cognition relies on goal-directed processing.”
Quote in the paperSubstantial claim - Interpretationreasoning
In the absence of such control, musicians may rely solely on spontaneously generated melodic sequences that do not necessarily adhere to the task goal of expressing a specific emotion.
“In the absence of such control, musicians may rely solely on spontaneously generated melodic sequences that do not necessarily adhere to the task goal of expressing a specific emotion.”
Quote in the paperSubstantial claim - Interpretationcitation
The default and control networks may show less cooperation in some situations, such as in the absence of a clear task goal or when top-down constraints are relaxed.
“Yet the default and control networks may also show less cooperation in some situations, such as in the absence of a clear task goal or when top-down constraints are relaxed.”
Quote in the paperSubstantial claim - Interpretationreasoning
One possible contributing factor to default-control network coupling is the degree of goal-directedness of a given creative task.
“One possible contributing factor to default-control network coupling is the degree of goal-directedness of a given creative task.”
Quote in the paperNot a substantial claim - Premisecitation
In visual artists, increased functional connectivity between the PCC and DLPFC was found when artists evaluated previously generated ideas.
“A study of visual artists [27] found increased functional connectivity between the PCC and DLPFC when artists were asked to evaluate their previously generated ideas.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [27] source
- Premisecitation
During musical improvisation based on a specific emotion, default and control networks showed cooperation.
“Here, default and control networks showed cooperation when musicians were asked to improvise based on a specific emotion.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [35] source
- Classified as probably not a substantial claim. 8
- May combine two claims. 17
- Borderline: one of the tests for a substantial claim is unclear. 1
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe default network consists of midline and posterior inferior parietal regions that show increased metabolic activity when most externally presented cognitive tasks are absent.
“The default network consists of midline and posterior inferior parietal regions that show increased metabolic activity in the absence of most externally-presented cognitive tasks [12].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [12] source
May combine two claims.
PremisecitationThe control network consists of lateral prefrontal and anterior inferior parietal regions, and its activity is associated with externally directed attention processes such as working memory, relational integration, and task-set switching.
“The control network consists of lateral prefrontal and anterior inferior parietal regions, and its activity is associated with cognitive processes that require externally-directed attention, including working memory, relational integration, and task-set switching [15].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [15] source
The ICA and Functional significance sections describe an executive-control network including lateral prefrontal and lateral parietal regions, associated with attention, working memory, and control. The Executive functioning section also describes switching between mental sets, but the copy does not identify the parietal region specifically as anterior inferior or link the network to relational integration. (LLM, conf=0.88)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationDefault network activity is associated with spontaneous and self-generated thought, including mind-wandering, mental simulation, social cognition, autobiographical retrieval, and episodic future thinking.
“Default network activity is associated with spontaneous and self-generated thought, including mind-wandering, mental simulation, social cognition, autobiographical retrieval, and episodic future thinking [5, 13–14].”
Quote in the paperNot a substantial claim2 of 3 sources checkedMay combine two claims.
PremisecitationDuring working memory tasks, the control network typically shows increased activation while the default network deactivates, presumably reflecting suppression of task-unrelated thoughts.
“During working memory tasks, for example, the control network typically shows increased activation while the default network deactivates, presumably reflecting the suppression of task-unrelated thoughts during cognitive control [16].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [16] source
May combine two claims.
PremisecitationThe correlation between alternate uses performance and episodic details was specific to imagined future events and was not observed for recalled or imagined past events.
“This correlation with divergent thinking, however, was specific to imagined future events and was not observed for recalled or imagined past events.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [71] source
The Results (Relation between Divergent Thinking and Episodic Simulation; page unavailable) report that all five Alternative Uses measures correlated significantly with episodic detail in imagined future events. But elaboration also correlated significantly with detail in imagined past events and showed a trend for recalled past events. The paper further reports no significant difference between the future and imagined-past relationships, so the claim of a future-specific correlation overstates the findings. (LLM, conf=0.90)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S1 (asserted), S3 (load-bearing).
PremisecitationThe default and control networks may contribute to idea generation and selection via blind variation and selective retention, as proposed in a seminal theory.
“Our model builds on a seminal theory [28] that suggested that the default and control networks may contribute to idea generation and selection, respectively, by means of the evolutionary processes of blind variation and selective retention (cf. [30–31]).”
Quote in the paperNot a substantial claim1 of 3 sources checked- cites [28] source
In “Creativity as blind variation and selective retention” (page unavailable), Jung links blind variation to generating ideas and selective retention to filtering them. In “What does it all mean?” (page unavailable), the paper proposes the default mode network as a setting for sequential BVSR, but it does not assign idea selection specifically to the cognitive control network. The claimed division of labor between the two networks is therefore not fully supported. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [30] source
- cites [31]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Classified as probably not a substantial claim. May combine two claims.
PremisecitationIdea generation is often conceived as a bottom-up process associated with diffuse attention, whereas idea evaluation is thought to involve focused attention and cognitive control.
“Idea generation is often conceived as a bottom-up process associated with diffuse attention, whereas idea evaluation is thought to involve focused attention and cognitive control [28].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [28] source
In “Creativity as blind variation and selective retention” (page unavailable), the paper describes generating many novel ideas and then filtering them for usefulness. “What does it all mean?” (page unavailable) links disinhibition to generating multiple ideas without refinement or selection. These passages support the generation–evaluation distinction, but do not characterize generation as bottom-up or explicitly link evaluation to focused attention and cognitive control. (LLM, conf=0.83)
Experimental — accuracy not yet measured
May combine two claims.
InterpretationcitationIn the poetry composition study, poets were simply asked to spontaneously generate novel poetry without engaging a generative strategy, so the top-down functions of the control network were not required.
“In the study of study of poetry composition [34], for example, poets were simply asked to spontaneously generate novel poetry—not to engage a generative strategy, as in the study of musical improvisation (e.g., [35])—so the top-down functions of the control network were not required.”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [34] source
The Methods (Experimental Design; page not supplied) say participants were asked to spontaneously generate a novel poem, with no prescribed generative strategy. The Results (Brain Activations During Generation of New Poems in All Subjects; page not supplied) report decreased activity in DLPFC and IPS during generation, but decreased activity does not establish that top-down control was unnecessary. The Discussion (Expertise; page not supplied) also suggests novices may rely more on prefrontal control. (LLM, conf=0.85)
Experimental — accuracy not yet measured - cites [35] source
Probably not a substantial claim: may not pass S1 (asserted), S3 (load-bearing). May combine two claims.
PremisecitationThe default and control networks cooperate to generate and maintain an internal train of thought or during extended evaluation of internal information.
“It has previously been suggested that the default and control networks will cooperate to generate and maintain an “internal train of thought” [65] or during the extended evaluation of internal information [5].”
Quote in the paperNot a substantial claim1 of 2 sources checkedMay combine two claims.
PremisecitationAdministering an episodic specificity induction increased the number of appropriate uses generated on a subsequent alternate uses task and also increased episodic details on a future simulation task.
“Critically, administering the specificity induction increased the number of appropriate uses that participants generated on a subsequent alternate uses task, and also increased episodic details on a future simulation task [72].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [72] source
May combine two claims.
InterpretationcitationThe negative correlation between default and control networks was markedly attenuated during idea evaluation, possibly due to increased task demands and top-down control.
“But this negative correlation was markedly attenuated during idea evaluation, possibly due to increased task demands and top-down control required.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [34] source
The Results and Discussion (Functional Connectivity; The Creative Process, pages unavailable) report that anticorrelation between the MPFC-associated and attention/control clusters was markedly attenuated during poetry revision, when top-down attention was reengaged. The paper describes idea evaluation as a component of revision, but it did not measure the correlation during a separate idea-evaluation condition or establish increased task demands as its cause. (LLM, conf=0.88)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationIn the poetry study, default regions showed increased activation during generation, and functional connectivity revealed a negative correlation between default and control network regions during generation.
“Indeed, the authors reported increased activation of default regions during poetry generation, and a functional connectivity analysis revealed a negative correlation between default and control network regions during generation.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [34] source
The Results sections on brain activations and functional connectivity report increased MPFC activity during poetry generation and a significant anticorrelation between MPFC-centered and DLPFC/IPS-centered clusters. But the broader claim that default regions increased activation overstates the findings: the activation results also report decreased activity in the precuneus, and the connectivity results group portions of the precuneus and posterior cingulate cortex with DLPFC/IPS. Page numbers are not available in our copy. (LLM, conf=0.85)
Experimental — accuracy not yet measured
Borderline on S3 (load-bearing): unclear from the text.
PremisecitationSelf-generated thoughts arise from internally focused mental activity that is largely independent of external input.
“Self-generated thoughts arise from internally-focused mental activity that is largely independent of external input [4].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [4] source
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
PremisecitationCreativity generally involves producing something that is both novel and useful.
“Creativity is a broadly defined construct, but it is generally assumed to involve the generation of some product that is both novel and useful [1–3].”
Quote in the paperNot a substantial claim0 of 3 sources checkedMay combine two claims.
InterpretationreasoningThe default network influences the generation of candidate ideas, while the control network can constrain and direct this process to meet task-specific goals via top-down monitoring and executive control.
“In general, we contend that the default network influences the generation of candidate ideas, but that the control network can constrain and direct this process to meet task-specific goals via top-down monitoring and executive control.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningDefault-control network coupling is not ubiquitous; the networks have shown both cooperation and competition during creative thinking tasks.
“Default-control network coupling is not ubiquitous, however, as the networks have shown both cooperation and competition during creative thinking tasks.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationIn visual artists, idea generation was associated with widespread activity of default regions, whereas idea evaluation was associated with both default and control network activity.
“At the univariate level of analysis, idea generation was associated with widespread activity of default regions, whereas idea evaluation was associated with both default (e.g., MPFC and PCC) and control network activity (e.g., DLPFC and ACC).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [27] source
May combine two claims.
PremisecitationGenerating semantically distant verbs was associated with medial prefrontal cortex activation, and greater semantic distance was associated with greater MPFC coupling with the ventral ACC.
“Generating semantically-distant verbs—responses that were remotely associated with nouns, assessed via Latent Semantic Analysis—was associated with activation of the medial prefrontal cortex (MPFC), a hub of the default network; moreover, as the semantic distance between the noun and verb increased, the MPFC showed greater coupling with the ventral ACC.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [33] source
Classified as probably not a substantial claim.
PremisecitationCreative thought involves a two-stage process of idea generation and idea evaluation.
“Creativity researchers have long speculated that creative thought involves a two-stage process of idea generation and idea evaluation [49].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [49]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
InterpretationreasoningGenerating new ideas in poetry and visual art may benefit from self-generated thoughts originating in the default network, but such ideas may require top-down modulation during evaluation, reflected in default-control network coupling.
“These studies suggest that generating new ideas in poetry and visual art may benefit from self-generated thoughts originating in the default network, but that such ideas may require top-down modulation during evaluation, thus reflected in default-control network coupling.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningThe control network may maintain an internal train of thought by keeping the task goal activated, inhibiting aesthetically undesirable or goal-incongruent melodic sequences, and strategically searching memory for goal-congruent sequences.
“The control network may therefore maintain an “internal train of thought” by keeping the task goal activated, inhibiting aesthetically undesirable or goal-incongruent melodic sequences, and strategically searching memory for goal-congruent sequences.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningThe default network may provide bottom-up evaluations via spontaneous and self-referential mechanisms, while the control network compares this information to the task goal and modifies it via inhibition and selection.
“In this context, the default network may provide bottom-up evaluations via spontaneously-generated and self-referential mechanisms; the control network, in turn, may compare this information to the task goal and modify it via cognitive control mechanisms such as inhibition and selection.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
PremisecitationIdea evaluation may invoke a unique mode of analytic processing characterized by both deliberate and spontaneous forms of evaluative thought.
“The authors of this study suggest that idea evaluation may invoke a unique mode of analytic processing characterized by both deliberate (top-down) and spontaneous (bottom-up) forms of evaluative thought [27].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [27] source
May combine two claims.
InterpretationreasoningThe emerging literature suggests that creative thought involves cooperation of the default and control networks, similar to other forms of goal-directed, self-generated thought, and that the extent of control network involvement may depend on how much creative thought is constrained to meet specific task goals.
“This emerging literature suggests that creative thought involves cooperation of the default and control networks—similar to other forms of goal-directed, self-generated thought—and that the extent of control network involvement may depend on the extent to which creative thought is constrained to meet specific task goals.”
Quote in the paperSubstantial claim
The paper relies on this without support.
Functional connectivity or coupling between brain regions indexes cooperation or interaction between the corresponding large-scale networks.
“A growing number of studies have used functional magnetic resonance imaging (fMRI) and functional connectivity analysis of fMRI data to assess dynamic interactions between large-scale brain systems, such as the default and executive control networks, during creative cognition and artistic performance.”
The paper relies on this without support.
Performance on laboratory creative tasks such as divergent thinking, poetry composition, and musical improvisation reflects creative cognition in real-world domains.
“We consider neuroimaging evidence related to both domain-general (e.g., divergent thinking) and domain-specific (e.g., musical improvisation) creative thought.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The overarching data pattern fits with emerging frameworks that emphasize the role of the core network and its flexible coupling with other networks in the service of goal-directed tasks that comprise multiple component processes, including divergent thinking.
“Nevertheless, this overarching data pattern fits with emerging frameworks that emphasize the role of the core network and its flexible coupling with other networks in the service of goal-directed tasks that comprise multiple component processes, including divergent thinking”
From Neural Mechanisms of Episodic Retrieval Support Divergent Creative Thinking (2019) · cites this paper as Beaty et al. 2016
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BackgroundThe role of default network deactivation in cognition and disease
Anticevic, A., Cole, M. W., Murray, J. D., Corlett, P. R., Wang, X.-J., & Krystal, J. H. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.10.008 · Cited by 978 · cited 1× · see citing works
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BackgroundA review of EEG, ERP, and neuroimaging studies of creativity and insight.
Dietrich, A., & Kanso, R. (2010) · Psychological Bulletin · doi:10.1037/a0019749 · Cited by 907 · cited 1× · see citing works
“Concluding Remarks Creativity researchers have long questioned whether creative thought involves more or less cognitive control [66,67].”
BackgroundNeural Substrates of Spontaneous Musical Performance: An fMRI Study of Jazz Improvisation
Limb, C. J., & Braun, A. R. (2008) · PLoS ONE · doi:10.1371/journal.pone.0001679 · Cited by 776 · cited 1× · see citing works
“Brain Network Interaction During Artistic Performance The neuroscience of artistic performance has largely centered on musical improvisation [35,38–44], although other domains have increasingly been explored, including visual art [27,45], creative writing [34,46,47], and lyrical improvisation [48].”
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“Although memory retrieval appears to have an important role in idea generation, cognitive control systems can also be recruited to evaluate and modify candidate ideas to meet specific goals, in line with behavioural [53–59] and neuroimaging [37,60–64] evidence showing consistent involvement of executive mechanisms in…”
BackgroundSelf-citationDefault and executive network coupling supports creative idea production
Beaty, R. E., Benedek, M., Barry Kaufman, S., & Silvia, P. J. (2015) · Scientific Reports · doi:10.1038/srep10964 · Cited by 705 · cited 4× · see citing works
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BackgroundNew approaches to demystifying insight
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BackgroundThe cognitive neuroscience of insight
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Self-citationThe disposition toward originality
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“Creativity is a broadly defined construct, but it is generally assumed to involve the generation of some product that is both novel and useful [1–3].”
BackgroundEvaluative and generative modes of thought during the creative process
Ellamil, M., Dobson, C., Beeman, M., & Christoff, K. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.08.008 · Cited by 611 · cited 7× · see citing works
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Creativity and the default network: A functional connectivity analysis of the creative brain at rest
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ResultSelf-citationThe roles of associative and executive processes in creative cognition
Beaty, R. E., Silvia, P. J., Nusbaum, E. C., Jauk, E., & Benedek, M. (2014) · Memory & Cognition · doi:10.3758/s13421-014-0428-8 · Cited by 448 · cited 1× · see citing works
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BackgroundSelf-citationDynamic cooperation and competition between brain systems during cognitive control
Cocchi, L., Zalesky, A., Fornito, A., & Mattingley, J. B. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.08.006 · Cited by 429 · cited 1× · see citing works
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BackgroundTo create or to recall? Neural mechanisms underlying the generation of creative new ideas
Benedek, M., Jauk, E., Fink, A., Koschutnig, K., Reishofer, G., Ebner, F., & Neubauer, A. C. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.11.021 · Cited by 407 · cited 1× · see citing works
“Recent research points to an important role of the default network and episodic memory in creative cognition [50,51] (Box 1).”
BackgroundSelf-citationInvestigating the structure of semantic networks in low and high creative persons
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“[52]).”
The structure of creative cognition in the human brain
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“process associated with diffuse attention, whereas idea evaluation is thought to involve focused attention and cognitive control [28].”
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BackgroundRostral and caudal prefrontal contribution to creativity: a meta-analysis of functional imaging data
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“, episodic simulation; for a recent meta-analysis, see [68]).”
BackgroundSelf-citationCreating metaphors: the neural basis of figurative language production
Benedek, M., Beaty, R., Jauk, E., Koschutnig, K., Fink, A., Silvia, P. J., Dunst, B., & Neubauer, A. C. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.12.046 · Cited by 328 · cited 1× · see citing works
“Recent research points to an important role of the default network and episodic memory in creative cognition [50,51] (Box 1).”
BackgroundSelf-citationAre creative ideas novel and useful?
Diedrich, J., Benedek, M., Jauk, E., & Neubauer, A. C. (2015) · Psychology of Aesthetics, Creativity, and the Arts · doi:10.1037/a0038688 · Cited by 314 · see citing works
Self-citationCreativity as flexible cognitive control
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“Although memory retrieval appears to have an important role in idea generation, cognitive control systems can also be recruited to evaluate and modify candidate ideas to meet specific goals, in line with behavioural [53–59] and neuroimaging [37,60–64] evidence showing consistent involvement of executive mechanisms in…”
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The neuroscience of musical improvisation
Beaty, R. E. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.01.004 · Cited by 261 · cited 1× · see citing works
“Although memory retrieval appears to have an important role in idea generation, cognitive control systems can also be recruited to evaluate and modify candidate ideas to meet specific goals, in line with behavioural [53–59] and neuroimaging [37,60–64] evidence showing consistent involvement of executive mechanisms in…”
BackgroundSelf-citationNeural Correlates of Lyrical Improvisation: An fMRI Study of Freestyle Rap
Liu, S., Chow, H. M., Xu, Y., Erkkinen, M. G., Swett, K. E., Eagle, M. W., Rizik‐Baer, D., & Braun, A. R. (2012) · Scientific Reports · doi:10.1038/srep00834 · Cited by 260 · cited 1× · see citing works
“Brain Network Interaction During Artistic Performance The neuroscience of artistic performance has largely centered on musical improvisation [35,38–44], although other domains have increasingly been explored, including visual art [27,45], creative writing [34,46,47], and lyrical improvisation [48].”
BackgroundA meta-analysis of neuroimaging studies on divergent thinking using activation likelihood estimation
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“Although memory retrieval appears to have an important role in idea generation, cognitive control systems can also be recruited to evaluate and modify candidate ideas to meet specific goals, in line with behavioural [53–59] and neuroimaging [37,60–64] evidence showing consistent involvement of executive mechanisms in…”
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Self-citationCreativity and Memory: Effects of an Episodic-Specificity Induction on Divergent Thinking
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Self-citationOde to positive constructive daydreaming
McMillan, R. L., Kaufman, S. B., & Singer, J. L. (2013) · Frontiers in Psychology · doi:10.3389/fpsyg.2013.00626 · Cited by 238 · cited 1× · see citing works
“Our research group and others have previously noted that creative thought may benefit from dynamic interactions of the default and control networks [25–29].”
BackgroundPinho, A. L., de Manzano, Ö., Fransson, P., Eriksson, H., & Ullén, F. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.4769-13.2014 · Cited by 235 · cited 1× · see citing works
“Brain Network Interaction During Artistic Performance The neuroscience of artistic performance has largely centered on musical improvisation [35,38–44], although other domains have increasingly been explored, including visual art [27,45], creative writing [34,46,47], and lyrical improvisation [48].”
BackgroundGerlach, K. D., Spreng, R. N., Gilmore, A. W., & Schacter, D. L. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.01.030 · Cited by 224 · cited 2× · see citing works
“, autobiographical future planning [10,19,24]).”
BackgroundSelf-citationGeneration of novel motor sequences: The neural correlates of musical improvisation
Berkowitz, A. L., & Ansari, D. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.02.028 · Cited by 221 · cited 1× · see citing works
“Brain Network Interaction During Artistic Performance The neuroscience of artistic performance has largely centered on musical improvisation [35,38–44], although other domains have increasingly been explored, including visual art [27,45], creative writing [34,46,47], and lyrical improvisation [48].”
BackgroundMetaphorically speaking: cognitive abilities and the production of figurative language
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“Although memory retrieval appears to have an important role in idea generation, cognitive control systems can also be recruited to evaluate and modify candidate ideas to meet specific goals, in line with behavioural [53–59] and neuroimaging [37,60–64] evidence showing consistent involvement of executive mechanisms in…”
BackgroundSelf-citationLiu, S., Erkkinen, M. G., Healey, M. L., Xu, Y., Swett, K. E., Chow, H. M., & Braun, A. R. (2015) · Human Brain Mapping · doi:10.1002/hbm.22849 · Cited by 213 · cited 6× · see citing works
“A recent study of professional poets contrasted brain networks involved in poetry composition [34].”
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“Previous work had shown that the specificity induction selectively boosts the number of episodic details that participants provide on subsequent tasks that require remembering past experiences and imagining future experiences, while having no effect on the number of semantic details that participants provide on such t…”
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“Previous work had shown that the specificity induction selectively boosts the number of episodic details that participants provide on subsequent tasks that require remembering past experiences and imagining future experiences, while having no effect on the number of semantic details that participants provide on such t…”
BackgroundSelf-citationNeural correlates of creative writing: An fMRI study
Shah, C., Erhard, K., Ortheil, H., Kaza, E., Kessler, C., & Lotze, M. (2013) · Human Brain Mapping · doi:10.1002/hbm.21493 · Cited by 196 · cited 1× · see citing works
“Brain Network Interaction During Artistic Performance The neuroscience of artistic performance has largely centered on musical improvisation [35,38–44], although other domains have increasingly been explored, including visual art [27,45], creative writing [34,46,47], and lyrical improvisation [48].”
BackgroundKonishi, M., McLaren, D. G., Engen, H., & Smallwood, J. (2015) · PLOS ONE · doi:10.1371/journal.pone.0132209 · Cited by 194 · cited 1× · see citing works
“Importantly, the default and control networks have also shown cooperation during several cognitive processes [8,17–21].”
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Donnay, G. F., Rankin, S. K., López-González, M., Jiradejvong, P., & Limb, C. J. (2014) · PLoS ONE · doi:10.1371/journal.pone.0088665 · Cited by 177 · cited 1× · see citing works
“Brain Network Interaction During Artistic Performance The neuroscience of artistic performance has largely centered on musical improvisation [35,38–44], although other domains have increasingly been explored, including visual art [27,45], creative writing [34,46,47], and lyrical improvisation [48].”
BackgroundHippocampal amnesia disrupts creative thinking: Creative Thinking and the Hippocampus
Duff, M. C., Kurczek, J., Rubin, R., Cohen, N. J., & Tranel, D. (2013) · Hippocampus · doi:10.1002/hipo.22208 · Cited by 170 · cited 1× · see citing works
“Amnesic patients with hippocampal damage, who have severe episodic memory deficits, also perform poorly on the widely used Torrance Tests of Creative Thinking [69].”
MethodGoal-congruent default network activity facilitates cognitive control
Spreng, R. N., DuPre, E., Selarka, D., Garcia, J., Gojkovic, S., Mildner, J., Luh, W.-M., & Turner, G. R. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.2815-14.2014 · Cited by 167 · cited 2× · see citing works
“In this context, the control network may modify and direct self-generated thoughts to meet the demands of task-specific goals [10,11,20].”
BackgroundExpertise-related deactivation of the right temporoparietal junction during musical improvisation
Berkowitz, A. L., & Ansari, D. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.08.042 · Cited by 165 · cited 1× · see citing works
“Brain Network Interaction During Artistic Performance The neuroscience of artistic performance has largely centered on musical improvisation [35,38–44], although other domains have increasingly been explored, including visual art [27,45], creative writing [34,46,47], and lyrical improvisation [48].”
BackgroundCreative thinking as orchestrated by semantic processing vs. cognitive control brain networks
Abraham, A. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00095 · Cited by 148 · see citing works
Gerlach, K. D., Spreng, R. N., Madore, K. P., & Schacter, D. L. (2014) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsu001 · Cited by 148 · see citing works
Self-citationPinho, A. L., Ullén, F., Castelo-Branco, M., Fransson, P., & de Manzano, Ö. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhv130 · Cited by 147 · cited 6× · see citing works
“Recent research on musical improvisation has provided support for this notion [35].”
BackgroundMethodInfluentialDivergent thinking and constructing episodic simulations
Addis, D. R., Pan, L., Musicaro, R., & Schacter, D. L. (2016) · Memory · doi:10.1080/09658211.2014.985591 · Cited by 140 · cited 1× · see citing works
“Moreover, a study of healthy young and older adults reported that performance on the alternate uses task was positively correlated with the number of episodic details that participants reported when they imagined future personal experiences [71].”
BackgroundSelf-citationChen, Q., Yang, W., Li, W., Wei, D., Li, H., Lei, Q., Zhang, Q., & Qiu, J. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.08.008 · Cited by 136 · see citing works
Generating original ideas: The neural underpinning of originality
Mayseless, N., Eran, A., & Shamay-Tsoory, S. G. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.05.030 · Cited by 134 · see citing works
The artist emerges: Visual art learning alters neural structure and function
Schlegel, A. A., Alexander, P. C., Fogelson, S. V., Li, X., Lu, Z., Kohler, P. J., Riley, E., Tse, P. U., & Meng, M. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.11.014 · Cited by 120 · cited 1× · see citing works
“Brain Network Interaction During Artistic Performance The neuroscience of artistic performance has largely centered on musical improvisation [35,38–44], although other domains have increasingly been explored, including visual art [27,45], creative writing [34,46,47], and lyrical improvisation [48].”
BackgroundReasoned connections: a dual-process perspective on creative thought
Barr, N., Pennycook, G., Stolz, J. A., & Fugelsang, J. A. (2015) · Thinking & Reasoning · doi:10.1080/13546783.2014.895915 · Cited by 108 · cited 1× · see citing works
“Although memory retrieval appears to have an important role in idea generation, cognitive control systems can also be recruited to evaluate and modify candidate ideas to meet specific goals, in line with behavioural [53–59] and neuroimaging [37,60–64] evidence showing consistent involvement of executive mechanisms in…”
BackgroundErhard, K., Kessler, F., Neumann, N., Ortheil, H.-J., & Lotze, M. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.05.076 · Cited by 104 · see citing works
de Manzano, Ö., & Ullén, F. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.07.016 · Cited by 98 · cited 1× · see citing works
“Brain Network Interaction During Artistic Performance The neuroscience of artistic performance has largely centered on musical improvisation [35,38–44], although other domains have increasingly been explored, including visual art [27,45], creative writing [34,46,47], and lyrical improvisation [48].”
BackgroundFrontopolar activity and connectivity support dynamic conscious augmentation of creative state
Green, A. E., Cohen, M. S., Raab, H. A., Yedibalian, C. G., & Gray, J. R. (2015) · Human Brain Mapping · doi:10.1002/hbm.22676 · Cited by 98 · cited 3× · see citing works
“Below, we discuss this model in the context of recent research on both domain-general [26,32,33] and domain-specific [27,34,35] creative thought processes.”
BackgroundMethodResultde Manzano, Ö., & Ullén, F. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.06.024 · Cited by 89 · cited 1× · see citing works
“Brain Network Interaction During Artistic Performance The neuroscience of artistic performance has largely centered on musical improvisation [35,38–44], although other domains have increasingly been explored, including visual art [27,45], creative writing [34,46,47], and lyrical improvisation [48].”
BackgroundPrefrontal cortex involvement in creative problem solving in middle adolescence and adulthood
Kleibeuker, S. W., Koolschijn, P. C. M. P., Jolles, D., Schel, M. A., Dreu, C. K. W. D., & Crone, E. A. (2013) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2013.03.003 · Cited by 65 · see citing works
Reasoned connections: A dual-process perspective on creative thought
Barr, N., Pennycook, G., Stolz, J. A., & Fugelsang, J. A. (2018) · Routledge eBooks · doi:10.4324/9781315144061-4 · Cited by 54 · see citing works
Vartanian, O. A., Bouak, F., Caldwell, J. L., Cheung, B., Cupchik, G. C., Jobidon, M.-E., Lam, Q., Nakashima, A., Paul, M., Peng, H. T., et al. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00214 · Cited by 54 · cited 1× · see citing works
“Although memory retrieval appears to have an important role in idea generation, cognitive control systems can also be recruited to evaluate and modify candidate ideas to meet specific goals, in line with behavioural [53–59] and neuroimaging [37,60–64] evidence showing consistent involvement of executive mechanisms in…”
BackgroundSelf-citationAutobiographical planning and the brain: activation and its modulation by qualitative features
Spreng, R. N., Gerlach, K. D., Turner, G. R., & Schacter, D. L. (2015) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00846 · Cited by 52 · cited 2× · see citing works
“In this context, the control network may modify and direct self-generated thoughts to meet the demands of task-specific goals [10,11,20].”
BackgroundSelf-citation
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Robust prediction of individual creative ability from brain functional connectivity
Beaty, R. E., Kenett, Y. N., Christensen, A. P., Rosenberg, M. D., Benedek, M., Chen, Q., Fink, A., Qiu, J., Kwapil, T. R., Kane, M. J., et al. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1713532115 · Cited by 828 · see citing works
“Nevertheless, the high-creative network showed stable prediction of creative ability across datasets, and the neuroanatomy of this network mirrors previous fMRI studies of creative cognition reporting functional interactions among default, executive, and salience networks (1), suggesting that it may be a more reliable…”
BackgroundResultInfluentialSelf-citationVuust, P., Heggli, O. A., Friston, K. J., & Kringelbach, M. L. (2022) · Nature reviews. Neuroscience · doi:10.1038/s41583-022-00578-5 · Cited by 416 · see citing works
“The few studies of musical improvisation from a whole-brain connectivity perspective point to a large repertoire of brain states involving functional brain connectivity among frontal and parietal regions within default, salience and executive brain networks 230,237,242,243 .”
Electroencephalograms during Mental Arithmetic Task Performance
Zyma, I. G., Тукаєв, С., Seleznov, I., Kiyono, K., Popov, A. O., Chernykh, M., & Shpenkov, O. (2019) · Data · doi:10.3390/data4010014 · Cited by 320 · see citing works
“Many theoretical and practical works have been published over the last decades about the relationships between cognitive phenomena and activity of brain structures [1], the “global workspace” theory of brain functioning during emotions and mental activity [2], dynamical properties of cortical areas and their coordinat…”
BackgroundHeller, J., Chylinski, M., de Ruyter, K., Mahr, D., & Keeling, D. I. (2019) · Journal of Retailing · doi:10.1016/j.jretai.2019.03.005 · Cited by 311 · see citing works
Beaty, R. E., Seli, P., & Schacter, D. L. (2018) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2018.08.013 · Cited by 300 · see citing works
“In a recent review of studies examining creative cognition and artistic performance, we reported a consistent pattern of functional network connectivity that was characterized by interactions between the Default Network (DN) and the Executive Control Network (ECN; [1]).”
BackgroundSelf-citationBenedek, M., & Fink, A. (2018) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2018.11.002 · Cited by 306 · see citing works
Self-citationBenedek, M., Kenett, Y. N., Umdasch, K., Anaki, D., Faust, M., & Neubauer, A. C. (2017) · Thinking & Reasoning · doi:10.1080/13546783.2016.1278034 · Cited by 231 · see citing works
Self-citationAssociative thinking at the core of creativity
Beaty, R. E., & Kenett, Y. N. (2023) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2023.04.004 · Cited by 239 · see citing works
Self-citationBeaty, R. E., Christensen, A. P., Benedek, M., Silvia, P. J., & Schacter, D. L. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.01.012 · Cited by 204 · see citing works
“DLPFC activation during creative task performance is thought to reflect the involvement of executive control processes (Beaty et al., 2016; Benedek et al., 2014a; Chen et al., 2015, 2017).”
InfluentialSelf-citationThe Process Definition of Creativity
Green, A. E., Beaty, R. E., Kenett, Y. N., & Kaufman, J. C. (2023) · Creativity Research Journal · doi:10.1080/10400419.2023.2254573 · Cited by 247 · see citing works
“The criterion of goal constraint is aligned with the evidence concerning FPCN and its connectivity with DMN during creative cognition (Beaty, Benedek, Silvia, & Schacter, 2016, Beaty, Cortes, Zeitlen, Weinberger, & Green, 2021).”
Self-citationAyahuasca enhances creative divergent thinking while decreasing conventional convergent thinking
Kuypers, K. P. C., Riba, J., de la Fuente Revenga, M., Barker, S., Theunissen, E. L., & Ramaekers, J. G. (2016) · Psychopharmacology · doi:10.1007/s00213-016-4377-8 · Cited by 201 · see citing works
“The thalamus feeds information into the SN which in turn coordinates the other mentioned networks (Beaty et al. 2016; Uddin 2015).”
BackgroundBeaty, R. E., Kaufman, S. B., Benedek, M., Jung, R. E., Kenett, Y. N., Jauk, E., Neubauer, A. C., & Silvia, P. J. (2015) · Human Brain Mapping · doi:10.1002/hbm.23065 · Cited by 196 · see citing works
Self-citationCooperation makes two less-creative individuals turn into a highly-creative pair
Xue, H., Lu, K., & Hao, N. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.02.007 · Cited by 195 · see citing works
“Moreover, neuroscience studies in the field of creativity have revealed that the PFC and rTPJ play pivotal roles in cognitive processing during creative-tasks (Beaty et al., 2016; Benedek et al., 2014; Goel et al., 2015; Kleibeuker et al., 2013; Wu et al., 2015).”
Boot, N. C., Baas, M., van Gaal, S., Cools, R., & Dreu, C. K. W. D. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.04.007 · Cited by 187 · see citing works
“Recent advances in neurobiology and (cognitive) neuroscience converge on several candidate regions and networks in the human brain that seem to be involved in creative cognition, including prefrontal, parietal, and temporal circuitries, and the striatum (e.g., Abraham et al., 2012; Beaty et al., 2016; Mayseless et al.…”
Exploring the Link Between Mind Wandering, Mindfulness, and Creativity: A Multidimensional Approach
Agnoli, S., Vannucci, M., Pelagatti, C., & Corazza, G. E. (2018) · Creativity Research Journal · doi:10.1080/10400419.2018.1411423 · Cited by 195 · see citing works
“Creative thinking is indeed characterized by a complex process involving both implicit associative processes and explicit control processes (Beaty, Benedek, Silvia, & Schachter, 2016), and MW might inversely influence these different processes.”
Smallwood, J., Karapanagiotidis, T., Ruby, F., Medea, B., de Caso, I., Konishi, M., Wang, H.-T., Hallam, G., Margulies, D. S., & Jefferies, E. (2016) · PLOS ONE · doi:10.1371/journal.pone.0152272 · Cited by 165 · see citing works
“Forward flow”: A new measure to quantify free thought and predict creativity.
Gray, K. J., Anderson, S., Chen, E. E., Kelly, J., Christian, M. S., Patrick, J., Huang, L., Kenett, Y. N., & Lewis, K. (2019) · American Psychologist · doi:10.1037/amp0000391 · Cited by 173 · see citing works
“Creativity is predicted by expertise (Baer & Kaufman, 2005), personality (Kaufman et al., 2016), attentional control (Beaty, Benedek, Silvia, & Schacter, 2016), one’s social network (Perry-Smith & Shalley, 2003), and the broader cultural milieu (Rudowicz, 2003).”
BackgroundThe role of memory in creative ideation
Benedek, M., Beaty, R. E., Schacter, D. L., & Kenett, Y. N. (2023) · Nature Reviews Psychology · doi:10.1038/s44159-023-00158-z · Cited by 177 · see citing works
Self-citationBrain mechanisms associated with internally directed attention and self-generated thought
Benedek, M., Jauk, E., Beaty, R. E., Fink, A., Koschutnig, K., & Neubauer, A. C. (2016) · Scientific Reports · doi:10.1038/srep22959 · Cited by 175 · see citing works
Self-citationBeaty, R. E., Chen, Q., Christensen, A. P., Qiu, J., Silvia, P. J., & Schacter, D. L. (2017) · Human Brain Mapping · doi:10.1002/hbm.23884 · Cited by 175 · see citing works
“…findings indicate that the imaginative personality is associated with default and cognitive control network cooperation, consistent with the growing literature on brain dynamics supporting imagination and creativity (Beaty et al., 2016a; Christoff et al., 2016; Zabelina & Andrews-Hanna, 2016).”
BackgroundResultInfluentialSelf-citationKleinmintz, O. M., Ivancovsky, T., & Shamay‐Tsoory, S. (2018) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2018.11.004 · Cited by 169 · see citing works
Cognitive Control As a Double-Edged Sword
Amer, T., Campbell, K. L., & Hasher, L. (2016) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2016.10.002 · Cited by 181 · see citing works
“In addition, neuroimaging evidence [65,66] demonstrates that the generation of creative ideas is associated with activation of the default mode network (a network of brain regions involved in internally based cognition that is typically deactivated during externally oriented tasks [67]) and interaction with the execut…”
BackgroundPredictions penetrate perception: Converging insights from brain, behaviour and disorder
O’Callaghan, C., Kveraga, K., Shine, J. M., Adams, R. B., & Bar, M. (2016) · Consciousness and Cognition · doi:10.1016/j.concog.2016.05.003 · Cited by 162 · see citing works
Creativity in and out of (cognitive) control
Chrysikou, E. G. (2018) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2018.09.014 · Cited by 162 · see citing works
A systematic framework of creative metacognition
Lebuda, I., & Benedek, M. (2023) · Physics of Life Reviews · doi:10.1016/j.plrev.2023.07.002 · Cited by 176 · see citing works
Self-citationThe Link Between Creativity, Cognition, and Creative Drives and Underlying Neural Mechanisms
Khalil, R., Godde, B., & Karim, A. A. (2019) · Frontiers in Neural Circuits · doi:10.3389/fncir.2019.00018 · Cited by 154 · see citing works
Kenett, Y. N., Beaty, R. E., Silvia, P. J., Anaki, D., & Faust, M. (2016) · Psychology of Aesthetics Creativity and the Arts · doi:10.1037/aca0000056 · Cited by 145 · see citing works
“The top-down account of creativity proposes that creative thought is a top-down process that taps individual differences in the ability to control attention and cognition (Beaty et al., 2016, 2014).”
BackgroundSelf-citationNeural Mechanisms of Episodic Retrieval Support Divergent Creative Thinking
Madore, K. P., Thakral, P. P., Beaty, R. E., Addis, D. R., & Schacter, D. L. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhx312 · Cited by 137 · see citing works
“Studies of between-network functional connectivity (for review, see Beaty et al. 2016) using multivariate independent components analysis (ICA) and univariate region of interest (ROI) approaches have also suggested that components of the core network and frontoparietal cognitive control and dorsal…”
BackgroundMethodResultInfluentialSelf-citationCooperation Makes a Group be More Creative
Lu, K., Xue, H., Nozawa, T., & Hao, N. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy215 · Cited by 142 · see citing works
Dynamics of aesthetic experience are reflected in the default-mode network
Belfi, A. M., Vessel, E. A., Brielmann, A. A., Isik, A. I., Chatterjee, A. K., Leder, H., Pelli, D. G., & Starr, G. G. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.12.017 · Cited by 137 · see citing works
Madore, K. P., Jing, H. G., & Schacter, D. L. (2016) · Memory & Cognition · doi:10.3758/s13421-016-0605-z · Cited by 137 · see citing works
Self-citationSun, J., Liu, Z., Rolls, E. T., Chen, Q., Yao, Y., Yang, W., Wei, D., Zhang, Q., Zhang, J., Feng, J., et al. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy010 · Cited by 136 · see citing works
Spontaneous and deliberate creative cognition during and after psilocybin exposure
Mason, N. L., Kuypers, K. P. C., Reckweg, J. T., Müller, F., Tse, D. H. Y., Rios, B. D., Toennes, S. W., Stiers, P. L. J., Feilding, A., & Ramaekers, J. G. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01335-5 · Cited by 129 · see citing works
Semantic search during divergent thinking
Hass, R. W. (2017) · Cognition · doi:10.1016/j.cognition.2017.05.039 · Cited by 127 · see citing works
Updating the dynamic framework of thought: Creativity and psychedelics
Girn, M., Mills, C., Roseman, L., Carhart-Harris, R. L., & Kalina Christoff, A. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116726 · Cited by 127 · see citing works
Hass, R. W. (2016) · Memory & Cognition · doi:10.3758/s13421-016-0659-y · Cited by 126 · see citing works
Chain free association, creativity, and the default mode network
Marron, T. R., Lerner, Y., Berant, E., Kinreich, S., Shapira‐Lichter, I., Hendler, T., & Faust, M. (2018) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2018.03.018 · Cited by 128 · see citing works
Sun, M., Wang, M., & Wegerif, R. (2020) · Thinking Skills and Creativity · doi:10.1016/j.tsc.2020.100682 · Cited by 127 · see citing works
Assessment of creativity evaluation skills: A psychometric investigation in prospective teachers
Benedek, M., Nordtvedt, N., Jauk, E., Koschmieder, C., Pretsch, J., Krammer, G., & Neubauer, A. C. (2016) · Thinking Skills and Creativity · doi:10.1016/j.tsc.2016.05.007 · Cited by 124 · see citing works
Self-citationBunjak, A., Černe, M., & Popovič, A. (2021) · Information & Management · doi:10.1016/j.im.2021.103533 · Cited by 127 · see citing works
Sun, J., Chen, Q., Zhang, Q., Li, Y., Li, H., Wei, D., Yang, W., & Qiu, J. (2016) · Human Brain Mapping · doi:10.1002/hbm.23246 · Cited by 122 · see citing works
“The DMN and the CCN likely correspond to the blind variation and the selective retention components of creative thinking, respectively [Campbell, 1960; Simonton, 1984].”
BackgroundMethodInfluentialDriving the brain towards creativity and intelligence: A network control theory analysis
Kenett, Y. N., Medaglia, J. D., Beaty, R. E., Chen, Q., Betzel, R. F., Thompson‐Schill, S. L., & Qiu, J. (2018) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2018.01.001 · Cited by 120 · see citing works
“, 2016; Jung and Haier, 2007) and creativity (Beaty et al., 2016; Chrysikou, 2018; Chrysikou et al., 2014).”
InfluentialSelf-citationKrieger-Redwood, K., Jefferies, E., Karapanagiotidis, T., Seymour, R., Nunes, A., Ang, J. W. A., Majernikova, V., Mollo, G., & Smallwood, J. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.07.060 · Cited by 106 · see citing works
Williams, K. J. H., Lee, E., Hartig, T., Sargent, L. D., Williams, N. S. G., & Johnson, K. A. (2018) · Journal of Environmental Psychology · doi:10.1016/j.jenvp.2018.08.005 · Cited by 118 · see citing works
Unity and diversity of executive functions in creativity
Zabelina, D. L., Friedman, N. P., & Andrews‐Hanna, J. R. (2019) · Consciousness and Cognition · doi:10.1016/j.concog.2018.12.005 · Cited by 115 · see citing works
Parsing Heterogeneity in the Brain Connectivity of Depressed and Healthy Adults During Positive Mood
Price, R. B., Lane, S., Gates, K., Kraynak, T. E., Horner, M. S., Thase, M. E., & Siegle, G. J. (2017) · Biological Psychiatry · doi:10.1016/j.biopsych.2016.06.023 · Cited by 106 · see citing works
Mind-wandering as creative thinking: neural, psychological, and theoretical considerations
Fox, K. C. R., & Beaty, R. E. (2018) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2018.10.009 · Cited by 114 · see citing works
Self-citationBrain hemispheric involvement in visuospatial and verbal divergent thinking
Chen, Q., Beaty, R. E., Cui, Z., Sun, J., He, H. G., Zhuang, K., Ren, Z., Liu, G., & Qiu, J. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116065 · Cited by 111 · see citing works
Self-citationShi, L., Sun, J., Xia, Y., Ren, Z., Chen, Q., Wei, D., Yang, W., & Qiu, J. (2018) · Biological Psychology · doi:10.1016/j.biopsycho.2018.03.005 · Cited by 106 · see citing works
Common and distinct brain networks underlying verbal and visual creativity
Zhu, W., Chen, Q., Xia, L., Beaty, R. E., Yang, W., Tian, F., Sun, J., Cao, G., Zhang, Q., Chen, X., et al. (2017) · Human Brain Mapping · doi:10.1002/hbm.23507 · Cited by 103 · see citing works
“Together, these results suggest that brain regions linked to cognitive control play a central role in creative cognition by inhibiting unoriginal ideas and selecting useful and original ideas [Beaty et al., 2014a, 2015, 2016; Jung et al., 2013].”
BackgroundMethodInfluentialSelf-citationBenedek, M., Schües, T., Beaty, R. E., Jauk, E., Koschutnig, K., Fink, A., & Neubauer, A. C. (2017) · Cortex · doi:10.1016/j.cortex.2017.10.024 · Cited by 103 · see citing works
Self-citationTwo critical brain networks for generation and combination of remote associations
Bendetowicz, D., Urbanski, M., Garcin, B., Foulon, C., Lévy, R., Bréchemier, M., Rosso, C., de Schotten, M. T., & Volle, E. (2018) · Brain : a journal of neurology · doi:10.1093/brain/awx294 · Cited by 93 · see citing works
Brain connectivity–based prediction of real-life creativity is mediated by semantic memory structure
Ovando‐Tellez, M., Kenett, Y. N., Benedek, M., Bernard, M., Belo, J., Béranger, B., Bieth, T., & Emmanuelle Volle, C. (2022) · Science Advances · doi:10.1126/sciadv.abl4294 · Cited by 103 · see citing works
“Previous studies exploring the cognitive processes involved in creativity have revealed brain regions and functional networks associated with different creativity tasks (30, 32).”
BackgroundInfluentialSelf-citationHwang, Y., & Wu, Y. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2024.1455015 · Cited by 104 · see citing works
Brain Dynamics Underlying Cognitive Flexibility Across the Lifespan
Kupis, L. B., Goodman, Z. T., Kornfeld, S., Hoang, S., Romero, C., Dirks, B., Dehoney, J., Chang, C. E., Spreng, R. N., Nomi, J. S., et al. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab156 · Cited by 103 · see citing works
Emmanuelle Volle, C. (2018) · Cambridge University Press eBooks · doi:10.1017/9781316556238.020 · Cited by 112 · see citing works
Sleep onset is a creative sweet spot
Lacaux, C., Andrillon, T., Bastoul, C., Idir, Y., Fonteix-Galet, A., Arnulf, I., & Oudiette, D. (2021) · Science Advances · doi:10.1126/sciadv.abj5866 · Cited by 95 · see citing works
“Creative cognition is supposed to rely on a dynamic interplay between brain networks involved in spontaneous thinking (default mode network) and cognitive control, which respectively support creative idea generation and evaluation (15).”
Dietrich, A. (2018) · Psychonomic Bulletin & Review · doi:10.3758/s13423-018-1517-7 · Cited by 123 · see citing works
“…thinking, etc.), or neuroanatomy (right brains, prefrontal cortex, default mode network, network connectivity, etc.) (Baird et al., 2012; Beaty et al., 2016; Boden, 1998; Carson, Peterson, & Higgins, 2003; Chrysikou, 2018; DeBono, 1968; Dijksterhuis, 2006; Fink & Benedek, 2014; Jamison,…”
BackgroundResultInfluentialWeinberger, A. B., Green, A. E., & Chrysikou, E. G. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00246 · Cited by 97 · see citing works
“…cognition—cognition manifesting in ideas that are both novel and useful (Barron, 1955; Runco and Jaeger, 2012)—comprises two primary processes: (1) idea generation; and (2) idea selection (Christoff et al., 2001; Smallwood, 2014; Beaty et al., 2016; Chrysikou, in press).”
BackgroundBeaty, R. E., Chen, Q., Christensen, A. P., Kenett, Y. N., Silvia, P. J., Benedek, M., & Schacter, D. L. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116499 · Cited by 103 · see citing works
Self-citationGreen, A. E., Katherine, S., Giangrande, E. J., Weinberger, A. B., Gallagher, N. M., & Turkeltaub, P. E. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw080 · Cited by 97 · see citing works
“Promising brain-based accounts of creativity have emphasized connectivity between prefrontal executive cortical regions and the so-called default mode network of frontal and posterior midline regions (Jung et al. 2013; Beaty et al. 2016).”
BackgroundTobón, S., & Luna-Nemecio, J. (2021) · Sustainability · doi:10.3390/su13126591 · Cited by 95 · see citing works
Ovando‐Tellez, M., Benedek, M., Kenett, Y. N., Hills, T. T., Bouanane, S., Bernard, M., Belo, J., Bieth, T., & Emmanuelle Volle, C. (2022) · Communications Biology · doi:10.1038/s42003-022-03547-x · Cited by 91 · see citing works
Self-citationBrain networks underlying novel metaphor production
Beaty, R. E., Silvia, P. J., & Benedek, M. (2016) · Brain and Cognition · doi:10.1016/j.bandc.2016.12.004 · Cited by 91 · see citing works
“Both fields are beginning to challenge the notion that core brain networks like the DN and ECN always exhibit an antagonistic relationship (Beaty et al., 2016; Christoff et al., 2016; Zabelina & Andrews-Hanna, 2016).”
BackgroundSelf-citationRominger, C., Papousek, I., Perchtold‐Stefan, C. M., Benedek, M., Weiss, E. M., Schwerdtfeger, A. R., & Fink, A. (2019) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-019-00699-y · Cited by 89 · see citing works
Self-citationBenedek, M., Jurisch, J., Koschutnig, K., Fink, A., & Beaty, R. E. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116586 · Cited by 94 · see citing works
“Moreover, generative constraints were further related to increased functional connectivity between a left executive control network and anterior default network, suggesting that coupling between these executive and default network regions plays a role in overcoming conceptual interference in creative thought (Beaty et…”
Self-citationDefault Mode and Executive Networks Areas: Association with the Serial Order in Divergent Thinking
Heinonen, J., Numminen, J., Hlushchuk, Y., Antell, H., Taatila, V. P., & Suomala, J. (2016) · PLoS ONE · doi:10.1371/journal.pone.0162234 · Cited by 92 · see citing works
“Our findings corroborate previously proposed notion that creative/divergent thinking involves interactions of the default, salience, and executive networks [11,48,52,60,72].”
BackgroundResultAgnoli, S., Zanon, M., Mastria, S., Avenanti, A., & Corazza, G. E. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116385 · Cited by 88 · see citing works
Johnson, D. R., Kaufman, J. C., Baker, B. S., Patterson, J. D., Barbot, B., Green, A. E., van Hell, J. G., Kennedy, E., Sullivan, G., Taylor, C. L., et al. (2022) · Behavior Research Methods · doi:10.3758/s13428-022-01986-2 · Cited by 99 · see citing works
“Here, we focus on psychometric or “domain-general” creativity that can be captured by performance on verbal tasks. appropriateness and elaborated upon accordingly to meet specific creative goals (Beaty et al., 2016).”
BackgroundSelf-citationChen, Q., Beaty, R. E., & Qiu, J. (2020) · Human Brain Mapping · doi:10.1002/hbm.25025 · Cited by 91 · see citing works
“Moreover, an increasing number of studies also indicate that highly creative individuals showed stronger connectivity between this “evaluation network” (ECN) and a second network that supports idea generation (i.e., the DN; Beaty et al., 2016; Zhu et al., 2017).”
BackgroundResultInfluentialSelf-citationAI as a co-creator and a design material: Transforming the design process
Yu, W. F. (2025) · Design Studies · doi:10.1016/j.destud.2025.101303 · Cited by 94 · see citing works
Ren, J., Huang, F., Zhou, Y., Zhuang, L., Xu, J., Gao, C., Qin, S., & Luo, J. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116751 · Cited by 88 · see citing works
Is the Mind a Network? Maps, Vehicles, and Skyhooks in Cognitive Network Science
Hills, T. T., & Kenett, Y. N. (2021) · Topics in Cognitive Science · doi:10.1111/tops.12570 · Cited by 80 · see citing works
“…2016), introduce secondary tasks that interfere with control processing (Rosen & Engle, 1997), use neuroimaging to identify control processing (Beaty, Benedek, Silvia, & Schacter, 2016), and evaluate more nuanced differences in the behavior, such as reaction time data (Kenett et al., 2017;…”
Memory and Imagination: Perspectives on Constructive Episodic Simulation
Schacter, D. L., & Addis, D. R. (2020) · The Cambridge Handbook of the Imagination · doi:10.1017/9781108580298.008 · Cited by 91 · see citing works
Self-citationCore Network Contributions to Remembering the Past, Imagining the Future, and Thinking Creatively
Beaty, R. E., Thakral, P. P., Madore, K. P., Benedek, M., & Schacter, D. L. (2018) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01327 · Cited by 84 · see citing works
“Note also that our results bear on discussions of default network contributions to creative cognition (for discussion, see Beaty et al., 2016) since both hippocampus and MPFC are part of the default network.”
Self-citationA conceptual proposal and operational definitions of the cognitive processes of complex thinking
Pacheco, C. S., & Herrera, C. I. (2021) · Thinking Skills and Creativity · doi:10.1016/j.tsc.2021.100794 · Cited by 93 · see citing works
“The choice of this indicator variable is due to the fact that it connects with theories of creativity that postulate that creative ideas arise from the recovery of remote associations that are combined in novel and appropriate ways (Benedek et al., 2020; Mednick, 1962).”
BackgroundInfluentialNeural basis of functional fixedness during creative idea generation: An EEG study
Camarda, A., Salvia, E., Vidal, J., Weil, B., Poirel, N., Houdé, O., Borst, G., & Cassotti, M. (2018) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2018.03.009 · Cited by 70 · see citing works
“We hypothesized that if executive control and semantic processes are the two key mechanisms allowing one to generate ideas outside of the fixation effect, as predicted by recent models of creativity (Beaty et al., 2016; Cassotti et al., 2016), then we should observe a greater synchronization of the alpha power in fron…”
Spontaneous thought as an unconstrained memory process
Mildner, J. N., & Tamir, D. I. (2019) · Trends in Neurosciences · doi:10.1016/j.tins.2019.09.001 · Cited by 83 · see citing works
“daydreaming, creative thought [119,120], and dreaming.”
BackgroundCreativity assessment in neuroscience research.
Benedek, M., Christensen, A. P., Fink, A., & Beaty, R. E. (2019) · Psychology of Aesthetics Creativity and the Arts · doi:10.1037/aca0000215 · Cited by 87 · see citing works
“Or, the persistent relevance of the default network in creative cognition (Beaty et al., 2016; Zabelina & Andrews-Hanna, 2016) attracted much interest in the role of episodic memory for creative thought (e.”
BackgroundSelf-citationNeuroimaging predictors of creativity in healthy adults
Sunavsky, A., & Poppenk, J. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2019.116292 · Cited by 82 · see citing works
Neural correlates of serial order effect in verbal divergent thinking
Wang, M., Hao, N., Ku, Y., Grabner, R. H., & Fink, A. (2017) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2017.03.001 · Cited by 80 · see citing works
“In a recent review, Beaty and his colleagues (Beaty et al., 2016) proposed that the default network contribute to the generation of candidate ideas (potentially useful information derived from long-term memory) in light of its role in self-generated cognition, while the control network would often…”
Divergent thinking and the core executive functions: a state-of-the-art review
Palmiero, M., Fusi, G., Crepaldi, M., Borsa, V. M., & Rusconi, M. L. (2022) · Cognitive Processing · doi:10.1007/s10339-022-01091-4 · Cited by 81 · see citing works
Chen, Q., Beaty, R. E., Wei, D., Yang, J., Sun, J., Liu, W., Yang, W., Zhang, Q., & Qiu, J. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw353 · Cited by 79 · see citing works
“The generation of novel and useful ideas is broadly considered to result from a set spontaneous and controlled cognitive processes that arise from the default mode network (DMN) and executive control network (ECN), respectively (Dietrich and Kanso 2010; Beaty et al. 2016).”
BackgroundResultInfluentialSelf-citationBerkovich‐Ohana, A., Glicksohn, J., Ben‐Soussan, T. D., & Goldstein, A. (2016) · Mindfulness · doi:10.1007/s12671-016-0649-y · Cited by 80 · see citing works
“In line with the networks approach to creativity, idea generation tasks are suggested to be related to default mode network (DMN) activation, while idea evaluation condition is related to a dynamic DMN—frontoparietal (FPN) cooperation (Beaty et al. 2016).”
BackgroundCreation Opportunities: Entrepreneurial Curiosity, Generative Cognition, and Knightian Uncertainty
Arikan, A. M., Arikan, I. T., & Koparan, I. (2020) · Academy of Management Review · doi:10.5465/amr.2018.0252 · Cited by 80 · see citing works
The roles of sensory perceptions and mental imagery in consumer decision-making
Kim, M., Kim, J.-H., Park, M., & Yoo, J. (2021) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2021.102517 · Cited by 76 · see citing works
Zhang, L., Qiao, L., Chen, Q., Yang, W., Xu, M., Yao, X., Qiu, J., & Yang, D. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.01532 · Cited by 78 · see citing works
“A series of studies suggest that creative thought involves cooperation between idea generation and idea evaluation or cooperation between the default and the control networks (Dietrich and Kanso, 2010; Ellamil et al., 2012; Benedek et al., 2013; Beaty et al., 2014b, 2016).”
BackgroundGodwin, C. A., Hunter, M. A., Bezdek, M. A., Lieberman, G., Elkin-Frankston, S., Romero, V. L., Witkiewitz, K. A., Clark, V. P., & Schumacher, E. H. (2017) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2017.07.006 · Cited by 76 · see citing works
“Related to this, research indicates that regions of the default mode and executive networks couple in support of other cognitive processes including future planning and creative thought (Beaty et al., 2016; Spreng et al., 2010).”
BackgroundAdnan, A., Beaty, R. E., Silvia, P. J., Spreng, R. N., & Turner, G. R. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.11.004 · Cited by 76 · see citing works
“Executive control networks, including the salience and frontoparietal networks, are subsequently engaged to evaluate these ideas in the latter stages of creative cognition (Beaty et al., 2016).”
BackgroundSelf-citationHigh transition frequencies of dynamic functional connectivity states in the creative brain
Li, J., Zhang, D., Liang, A., Liang, B., Wang, Z., Cai, Y., Gao, M., Gao, Z., Chang, S., Jiao, B., et al. (2017) · Scientific Reports · doi:10.1038/srep46072 · Cited by 71 · see citing works
“…the DMN is highly associated with creativity through its contribution to the generation of candidate ideas or potentially valuable information 1,2,39 addition, a previous study 40 found that the dynamic spontaneous activities of the DMN was associated with the degree of mind-wandering, which…”
Creativity as a distinct trainable mental state: An EEG study of musical improvisation
Lopata, J. A., Nowicki, E. A., & Joanisse, M. F. (2017) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2017.03.020 · Cited by 74 · see citing works
“Since collected fMRI research shows that the degree to which tasks are goal-directed modulates frontal (de)activation (Beaty et al., 2016), future EEG research delineating several generative artistic performance tasks with varying degrees of high to low goal-direction is recommended.”
BackgroundInfluentialO’Callaghan, C., Walpola, I. C., & Shine, J. M. (2020) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2019.0699 · Cited by 72 · see citing works
Use or Consequences: Probing the Cognitive Difference Between Two Measures of Divergent Thinking
Hass, R. W., & Beaty, R. E. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.02327 · Cited by 72 · see citing works
Self-citationConnectome-Based Predictive Modeling of Creativity Anxiety
Ren, Z., Daker, R. J., Shi, L., Sun, J., Beaty, R. E., Wu, X., Chen, Q., Yang, W., Lyons, I. M., Green, A. E., et al. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117469 · Cited by 72 · see citing works
Self-citationSpontaneous and Controlled Processes in Creative Cognition
Benedek, M., & Jauk, E. (2018) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780190464745.013.22 · Cited by 82 · see citing works
Self-citationNeural and genetic determinants of creativity
Liu, Z., Zhang, J., Xie, X., Rolls, E. T., Sun, J., Zhang, K., Jiao, Z., Chen, Q., Zhang, J., Qiu, J., et al. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.02.067 · Cited by 69 · see citing works
“The activation of the default mode network (DMN) in creative processes may reflect the spontaneous generation of candidate ideas, and/or the retrieval of long-term memory (Beaty et al., 2016), while the control network may serve to constrain cognition to meet specific goals of the tasks.”
BackgroundThe Costs and Benefits of Cognitive Control for Creativity
Chrysikou, E. G. (2018) · Cambridge University Press eBooks · doi:10.1017/9781316556238.018 · Cited by 75 · see citing works
Vartanian, O. A. (2019) · Cambridge University Press eBooks · doi:10.1017/9781316979839.010 · Cited by 90 · see citing works
Kenett, Y. N., Humphries, S. A., & Chatterjee, A. K. (2023) · Creativity Research Journal · doi:10.1080/10400419.2023.2165748 · Cited by 73 · see citing works
“…consistently reveals that the executive control network and the default network, two large-scale brain networks that typically act antagonistically actually increase functional coupling when a person is thinking creatively (Beaty et al., 2016, 2018, 2019; Benedek & Fink, 2019; Chrysikou, 2019).”
BackgroundInternally Directed Attention in Creative Cognition
Benedek, M. (2018) · Cambridge University Press eBooks · doi:10.1017/9781316556238.011 · Cited by 84 · see citing works
Self-citation
- Authors
- Beaty, R. E., Benedek, M., Silvia, P. J., & Schacter, D. L.
- Affiliations
- University of North Carolina at Greensboro (US)
- University of Graz (AT)
- Harvard University (US)
- Corresponding author
- Beaty, Roger E.
- Venue
- Trends in Cognitive Sciences
- Publisher
- Elsevier BV
- Published
- 2016-02
- Volume
- 20
- Issue
- 2
- Pages
- 87-95
- ISSN
- 1364-6613 (ISSN-L)
- PMC
- PMC4724474
- OpenAlex
- W2148406463
- Cited by
- 1,105
- References
- 76
- Citations by year
- 2026: 130 · 2025: 134 · 2024: 100 · 2023: 130 · 2022: 99 · 2021: 117 · 2020: 118 · 2019: 99 · 2018: 93 · 2017: 48 · 2016: 34 · 2015: 2 · 2012: 1
- FWCI
- 7.60
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Trends in Cognitive Sciences (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (5r01ag008441-30)
- National Institute on Aging (R01-AG008441, R01AG08441)
- National Institute of Mental Health (R01MH060941)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Creativity in Education and Neuroscience
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Cognitive Science and Education Research
- Keywords
- creative cognition, creative thinking, brain network dynamics, default mode network, frontoparietal network, divergent thinking, poetry composition, musical improvisation, self-generated thought, artistic performance
- MeSH terms
- Brain, Cognition, Creativity, Humans, Neural Pathways, Thinking
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