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Schettini, E.

Publications and source records attributed to Schettini, E..

2 recordsLinked to original sources

Individual variability in performance reflects selectivity of the multiple demand network among children and adults.

Executive function (EF) is essential for human cognition, allowing individuals to effectively engage in cognitively demanding tasks. In adults, EF is subserved by a set of frontoparietal brain regions (termed the multiple demand (MD) network) which show robust responses to a wide variety of cognitively demanding tasks (i.e., domain-general) and reflect cognitive effort exerted on the task. But while essential, children initially show poor EF skills with prolonged development of these skills. Do children recruit the same network as adults? Is it functionally and connectionally distinct from adjacent language cortex as it is in adults? And is this activation or connectivity dependent on age or on the individuals EF task performance? We scanned 44 adults and 37 children ages 4-12 years for two separate tasks (MD spatial working memory task and passive language task) and a resting-state fMRI scan. Because motion is a concern in child samples, we asked a subset of adult subjects to participate in additional "wiggly" scans of the MD task and to move slightly during those scans. We defined subject-specific functional regions of interest (ss-fROIs) and found bilateral activation of the MD network in children. In both children and adults, these ss-fROIs are not recruited for linguistic processing and are also connectionally distinct from language ss-fROIs. MD activation in children was lower than that observed in adults, but it was unrelated to motion as evidenced by motion-matched comparisons between children and adult groups and by repeated measures comparisons within the adult group. Right-lateralized ss-fROIs showed increasing load-based MD responses that were robustly associated with performance, demonstrated both cross-sectionally and in a subset of children scanned longitudinally about one year apart. These data suggest that even in young children the MD network is selective to cognitive demand, is distinct from adjacent cortex, and increases in its selectivity as a child improves their EF skills, independently of age. Overall, these findings show that neural structures subserving domain-general EF emerge early and are sensitive to ability in both children and adults. This research advances our understanding of how high-level human cognition emerges and can inform interventions targeting cognitive control. Significance statementThis study provides evidence that young children already show differentiated brain network organization between regions that process cognitive demand and language. These data support the hypothesis that children recruit a similar network as adults to process cognitive demand, and despite immature characteristics, childrens selectivity looks more adult-like as their executive function ability increases. Mapping early stages of network organization furthers our understanding of the functional architecture underlying domain-general executive function. Determining typical variability underlying cognitive processing across developmental periods helps establish a threshold for executive dysfunction. Early markers of risk are necessary for effective early identification, prevention, and intervention efforts for individuals struggling with deficits in processing cognitive demand.

neuroscience↗

The language network is selective and distinct from other cognition in both function and connectivity in early childhood

Is language distinct from other cognition during development? Does neural machinery for language emerge from general-purpose neural mechanisms, becoming tuned for language after years of experience and maturation? Answering these questions will shed light on the origins of domain-specificity in the brain. We address these questions using precision fMRI and found young children (35 months-9 years) show domain-specific, left-lateralized language activation, and the language network is not responsive to domain-general cognitive load. Additionally, the cortically adjacent multiple demand network is selective to cognitive load, but not to language. These networks show higher within vs. between-network functional connectivity. This connectivity is stable across ages (examined cross-sectionally and longitudinally), whereas language responses increase with age and across-time within subject, reflecting a domain-specific developmental change. Overall, these findings suggest that domain-specificity, even for uniquely human cognition like language, develops early and distinctly from mechanisms that presumably support other human cognition. Significance StatementThis study provides evidence of a double dissociation between neural processors for language and domain-general cognition (specifically, cognitive load) in young children. These results refute previous claims that linguistic function emerges from domain-general mechanisms supporting non-linguistic, higher-order cognition, and with both cross-sectional and longitudinal analyses, show that the continued development of linguistic specialization is also unrelated to domain-general mechanisms that support cognitive flexibility and executive function. This work emphasizes the importance of single-subject fMRI analyses with multiple tasks to explicitly dissociate cognitive constructs, and the importance of longitudinal research for scientific rigor, even in toddlers and preschoolers who are difficult to image with fMRI.

neuroscience↗