Longitudinal changes in brain structures related to appetitive reactivity and regulation across development

Martin, Rebecca; Silvers, Jennifer A.; Hardi, Felicia A.; Stephano, Theodore; Helion, Chelsea; Insel, Catherine; Franz, Peter; Ninova, Emilia; Lander, Jared P.; Mischel, Walter; Casey, B. J.; Ochsner, Kevin N.

doi:10.1016/j.dcn.2019.100675

Cited by 7 publications

(4 citation statements)

References 56 publications

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“…The next steps will involve validating these findings in large-scale developmental cohorts with available gene data, and forming casual links by applying GNMs to individuals with neurodevelopmental disorders of known genetic origin 58,59,70 . Fourthly, we have used a parcellation widely used in developmental studies [71][72][73][74][75] , which aids the comparability of our findings with the wider literature. Previous work has shown that parcellation choice is not a big determent of optimal wiring parameters 25 .…”

Section: Discussionmentioning

confidence: 99%

A generative network model of neurodevelopmental diversity in structural brain organization

et al. 2021

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The formation of large-scale brain networks, and their continual refinement, represent crucial developmental processes that can drive individual differences in cognition and which are associated with multiple neurodevelopmental conditions. But how does this organization arise, and what mechanisms drive diversity in organization? We use generative network modeling to provide a computational framework for understanding neurodevelopmental diversity. Within this framework macroscopic brain organization, complete with spatial embedding of its organization, is an emergent property of a generative wiring equation that optimizes its connectivity by renegotiating its biological costs and topological values continuously over time. The rules that govern these iterative wiring properties are controlled by a set of tightly framed parameters, with subtle differences in these parameters steering network growth towards different neurodiverse outcomes. Regional expression of genes associated with the simulations converge on biological processes and cellular components predominantly involved in synaptic signaling, neuronal projection, catabolic intracellular processes and protein transport. Together, this provides a unifying computational framework for conceptualizing the mechanisms and diversity in neurodevelopment, capable of integrating different levels of analysis—from genes to cognition.

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Section: Discussionmentioning

confidence: 99%

A generative network model of neurodevelopmental diversity in structural brain organization

et al. 2021

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“…Specifically, spending longer time on social media predicted subsequently feeling worse for those with weaker frontoparietal functional connectivity. This result suggests that social media might pose greater risk to children and adolescents who show immaturities in the development of frontoparietal connectivity 62 , cognitive control of negative emotions 63 , and overall emotion regulation capacities 64 .…”

Section: Discussionmentioning

confidence: 98%

Frontoparietal functional connectivity moderates the link between time spent on social media and subsequent negative affect in daily life

Kang,

Ahn,

Cosme

et al. 2023

Sci Rep

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Evidence on the harms and benefits of social media use is mixed, in part because the effects of social media on well-being depend on a variety of individual difference moderators. Here, we explored potential neural moderators of the link between time spent on social media and subsequent negative affect. We specifically focused on the strength of correlation among brain regions within the frontoparietal system, previously associated with the top-down cognitive control of attention and emotion. Participants (N = 54) underwent a resting state functional magnetic resonance imaging scan. Participants then completed 28 days of ecological momentary assessment and answered questions about social media use and negative affect, twice a day. Participants who spent more than their typical amount of time on social media since the previous time point reported feeling more negative at the present moment. This within-person temporal association between social media use and negative affect was mainly driven by individuals with lower resting state functional connectivity within the frontoparietal system. By contrast, time spent on social media did not predict subsequent affect for individuals with higher frontoparietal functional connectivity. Our results highlight the moderating role of individual functional neural connectivity in the relationship between social media and affect.

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“…Multilevel models are the first method for longitudinal analysis that we consider here. Originating in the field of education ( Raudenbush and Bryk, 2002 ), MLMs are some of the most common longitudinal models used in the field of cognitive neuroscience ( Braams et al, 2015 , Campbell and Feinberg, 2009 , Martin et al, 2019 , McCormick, 2021 , McCormick et al, 2021 , Peters et al, 2016 , Peters and Crone, 2017 , Telzer et al, 2018 ). Multilevel models were originally developed to deal with the nesting of children within classrooms.…”

Section: Modeling Frameworkmentioning

confidence: 99%

The Hitchhiker’s guide to longitudinal models: A primer on model selection for repeated-measures methods

McCormick¹,

Byrne²,

Flournoy³

et al. 2023

Developmental Cognitive Neuroscience

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Longitudinal changes in brain structures related to appetitive reactivity and regulation across development

Cited by 7 publications

References 56 publications

A generative network model of neurodevelopmental diversity in structural brain organization

A generative network model of neurodevelopmental diversity in structural brain organization

Frontoparietal functional connectivity moderates the link between time spent on social media and subsequent negative affect in daily life

The Hitchhiker’s guide to longitudinal models: A primer on model selection for repeated-measures methods

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