Oct 2026· Cerebral Cortex· Vol 36· 0 citations· 120 references
Medicine
TL;DR
During a co-creative AI-assisted conversation, children exhibit a less coherent and integrated control-attention-memory architecture than adults, which highlights FP-centric pathways and their salience-gated interactions as candidate substrates by which creativity supports goal-directed co-creative dialog with AI.
Abstract
Abstract Generative artificial intelligence (AI) can scaffold idea generation, but how it engages control, attention, and memory systems in the developing versus mature brain, and how this relates to creativity, remains unclear. We compared 6–7-yr-old children and adults during a naturalistic 5-min co-creative dialog with ChatGPT using the same prompt, in-scanner conversation, undergoing functional magnetic resonance imaging scanning and their dialogs were recorded. Functional connectivity was computed within and between seven large-scale networks: cingulo-opercular, default mode, memory retrieval, frontoparietal (FP), salience, ventral attention, and dorsal attention (DAN). Creativity scores, assessed outside of the scanner, did not differ between groups. Adults showed stronger within-network connectivity in control/attention systems, most robustly in FP, with additional effects in salience and DAN. Adults also exhibited greater cross-network integration, particularly FP-salience and FP-DAN couplings, alongside broader adult-greater effects among memory- and attention-related pairs. During a co-creative AI-assisted conversation, children exhibit a less coherent and integrated control–attention–memory architecture than adults. The combination of similar creativity scores with divergent neural profiles suggests that developmental differences in the implementation of creative cognition may be more pronounced than baseline capacity. This highlights FP-centric pathways and their salience-gated interactions as candidate substrates by which creativity supports goal-directed co-creative dialog with AI.
Although language might have evolved in a conversational setting, neural language processing is rarely studied in this setting. It is also important to delineate the roles of networks interacting with the language network, such as the default mode network and networks subserving social cognition or cognitive control. W...
Ekaterina Torubarova, C. Arvidsson, André Pereira et al.· bioRxiv· 0 citations
PURPOSE
This study examined generative artificial intelligence (AI) as an emerging cognitive assistive technology for adults with dyslexia. Specifically, it investigated whether anxiety, working memory, and metacognitive regulation predict adaptive reliance on AI during problem-solving over time.
MATERIALS AND METHOD...
N. Alkhateeb· Disability and Rehabilitatio...· 0 citations
It is argued that the scientific value of the popcorn-brain metaphor lies not in treating it as a disorder, but in using it to organize testable questions about fragmented attention, reward expectancy, cognitive offloading, and self-regulation.
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Generalization is a key cognitive process that allows humans to flexibly apply prior knowledge to guide new behaviors. Difficulties with generalization and flexibility are observed across neurodevelopmental disorders, especially autism, limiting adaptive function and quality of life. Cognitive-behavioral treatment bene...
Y. Chen, H. Puckett, G. Clarot et al.· medRxiv· 0 citations
The cluster analysis of chatbot usage and discussion patterns by users showed that most participants in the unrestricted-mode adopted a direct answer-retrieval strategy, while participants in the Socratic-mode initially attempted to reason through the hints before progressively disengaging, suggesting that the success...
Attention is foundational to learning, yet the extent to which features of the instructional environment differentially shape attentional engagement is not well understood. Here we leveraged mobile EEG and video-coded behavioral observation to examine attentional engagement in 6–10-year-old children with and without a...