The neural mechanisms contributing to flexible cognition and behavior and how they change with development and aging are incompletely understood. The current study explored intrinsic brain dynamics across the lifespan using resting-state fMRI data (n = 601, 6–85 years) and examined the interactions between age and brain dynamics among three neurocognitive networks (midcingulo-insular network, M-CIN; medial frontoparietal network, M-FPN; and lateral frontoparietal network, L-FPN) in relation to behavioral measures of cognitive flexibility. Hierarchical multiple regression analysis revealed brain dynamics among a brain state characterized by co-activation of the L-FPN and M-FPN, and brain state transitions, moderated the relationship between quadratic effects of age and cognitive flexibility as measured by scores on the Delis-Kaplan Executive Function System (D-KEFS) test. Furthermore, simple slope analyses of significant interactions revealed children and older adults were more likely to exhibit brain dynamic patterns associated with poorer cognitive flexibility compared with younger adults. Our findings link changes in cognitive flexibility observed with age with the underlying brain dynamics supporting these changes. Preventative and intervention measures should prioritize targeting these networks with cognitive flexibility training to promote optimal outcomes across the lifespan.
Motherese is an experience-expectant, human-speci c and innate form of parent speech that enhances social and language learning, and affect and emotion development in infants. An early sign of ASD is the child's lack of responding to motherese and reduced social mother-child interactions. To learn why, we devised a novel experiment quantifying (a) neural responses to motherese and other emotion speech with sleep fMRI and (b) active behavioral preference for motherese with eye tracking in ASD and TD toddlers. We combined the power of diverse neural and clinical data types using Similarity Network Fusion to reveal four neural-clinical clusters. The ASD cluster with the weakest neural responses to motherese and the poorest social and language abilities had the lowest eye tracking attention to motherese, while the TD cluster with the strongest neural response to motherese showed the opposite effects. We conclude that the ASD child's impairment in engaging in social mother-child interactions is due to impaired development of innate neural systems that normally respond to and guide behavior that maintains mother-child interactions.
Brain connectivity studies of autism spectrum disorder (ASD) have historically relied on static measures of functional connectivity. Recent work has focused on identifying transient configurations of brain activity, yet several open questions remain regarding the nature of specific brain network dynamics in ASD. We used a dynamic co-activation pattern (CAP) approach to investigate the salience/midcingulo-insular (M-CIN) network, a locus of dysfunction in ASD, in a large multi-site resting-state fMRI dataset collected from 172 children (ages 6-13 years; n = 75 ASD; n = 138 male). Following brain parcellation using independent component analysis, dynamic CAP analyses were conducted and k-means clustering was used to determine transient activation patterns of the M-CIN. The frequency of occurrence of different dynamic CAP brain states was then compared between children with ASD and typically developing (TD) children. Dynamic brain configurations characterized by co-activation of the M-CIN with central executive/lateral frontoparietal and default mode/medial frontoparietal networks appeared less frequently in children with ASD compared with TD children. This study highlights the utility of time-varying approaches for studying altered M-CIN function in prevalent neurodevelopmental disorders. We speculate that altered M-CIN dynamics in ASD may underlie the inflexible behaviors commonly observed in children with the disorder.
Highlights
Children with autism spectrum disorder (ASD) showed altered brain dynamics during the later stages of an attention task.
Brain dynamics during rest in both ASD and in typically developing children was associated with social ability.
Brain dynamics show the potential to index individual differences in social cognition and behavior.
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