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Studies suggest that internally oriented cognitive processes are central to creativity. Here, we distinguish between intentional and unintentional forms of mind wandering and explore their behavioral and neural correlates. We used a sample of 155 healthy adults from the mind-brain-body dataset, all of whom completed resting-state fMRI scans and trait-level measures of mind wandering. We analyzed intentional and unintentional mind wandering tendencies using self-report measures. Next, we explored the relationship between mind wandering tendencies and creativity, as measured by a divergent thinking task. Finally, we describe patterns of resting-state network connectivity associated with mind wandering, using graph theory analysis. At the behavioral level, results showed a significant positive association between creativity and both intentional and unintentional mind wandering. Neuroimaging analysis revealed higher weighted degree connectivity associated with both forms of mind wandering, implicating core regions of the default network and the left temporal pole. We observed topological connectivity differences within the default network: intentional mind wandering was associated with degree connectivity in posterior regions, whereas unintentional mind wandering showed greater involvement of prefrontal areas. Overall, the findings highlight patterns of resting-state network connectivity associated with intentional and unintentional mind wandering, and provide novel evidence of a link between mind wandering and creativity.

Objectives How does creative expression change across the life span? Although creativity is generally preserved well into adulthood, certain cognitive functions, such as episodic detail and ideational fluency, have been shown to decline with age. The present study employs computational linguistic analyses to investigate the salient features of creative writing in older adults. Methods We collected short stories from a sample of 50 older adults (age 65≤) which were subsequently rated for creativity by an independent set of participants. Mixed-effects linear regression models were used to describe semantic diversity and perceptual details as predictors of creativity. Semantic diversity reflects the extent to which a narrative connects divergent ideas and is closely associated with creativity. Perceptual details, characterized by sensorial descriptions, have been previously associated with creative writing and may serve to transport readers to alternative times and places. Additionally, we compare these measures to a previously collected sample of stories from younger adults. Results Results indicate that the presence of perceptual details and semantic diversity were significant positive predictors of creativity (p  < .05). Moreover, we find that stories written by older adults contain fewer perceptual details compared with stories written by younger adults. Discussion These results advance our understanding of age-related changes in creativity and highlight the potential role of episodic simulation in writing creative short stories. [ABSTRACT FROM AUTHOR]

Recent developments in computerized scoring via semantic distance have provided automated assessments of verbal creativity. Here, we extend past work, applying computational linguistic approaches to characterize salient features of creative text. We hypothesize that, in addition to semantic diversity, the degree to which a story includes perceptual details, thus transporting the reader to another time and place, would be predictive of creativity. Additionally, we explore the use of generative language models to supplement human data collection and examine the extent to which machine‐generated stories can mimic human creativity. We collect 600 short stories from human participants and GPT‐3, subsequently randomized and assessed on their creative quality. Results indicate that the presence of perceptual details, in conjunction with semantic diversity, is highly predictive of creativity. These results were replicated in an independent sample of stories (n = 120) generated by GPT‐4. We do not observe a significant difference between human and AI‐generated stories in terms of creativity ratings, and we also observe positive correlations between human and AI assessments of creativity. Implications and future directions are discussed. [ABSTRACT FROM AUTHOR]

Amyloid‐beta (Aβ) plaques and tau neurofibrillary tangles are pathological hallmarks of Alzheimer's disease (AD); their contribution to neurodegeneration and clinical manifestations are critical in understanding preclinical AD. At present, the mechanisms related to Aβ and tau pathogenesis leading to cognitive decline in older adults remain largely unknown. Here, we examined graph theory‐based positron emission tomography (PET) analytical approaches, within and between tau and Aβ PET modalities, and tested the effects on cognitive changes in cognitively normal older adults (CN). Particularly, we focused on the network interdigitations of Aβ and tau deposits, along with cognitive test scores in CN at both baseline and 2‐year follow‐up (FU). We found highly significant Aβ‐tau network integrations in AD vulnerable areas, as well as significant associations between those Aβ‐tau interdigitations and general cognitive impairment in CN at baseline and FU. Our findings suggest a distinctive contribution of interlinking network relationships between Aβ and tau deposits in heteromodal areas of the human brain. They support a network‐based interaction between Aβ and tau accumulations as a key factor for cognitive deterioration in CN prior to dementia. [ABSTRACT FROM AUTHOR]