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N. Pavletic

Bio: N. Pavletic is an academic researcher. The author has an hindex of 1, co-authored 1 publications receiving 5 citations.

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Journal ArticleDOI
TL;DR: In this article, the Triadic Model of motivated behavior is used as a framework to examine the flow of information both between and within neural structures, and address behavioral correlates, which can help explain how neural systems are integrated with one another.
Abstract: Adolescence is a unique period of development defined in part by a heightened sensitivity to reward. As such, adolescents are more prone to behaviors such as risk-seeking and increased social interaction. However, the neural processes that drive these behaviors unique to adolescence are still largely unaccounted for. Prior work has attempted to link typical adolescent behavior to neural function through the proposal of various neural systems models. These models provide theoretical frameworks to connectivity analyses, which, in turn, can test and extend these models. Connectivity analyses permit to examine the flow of information both “between” and “within” neural structures, and address behavioral correlates. This perspective paper highlights the critical role of the investigation of large-scale and local neural networks for gaining a better understanding of functional neural systems. We present functional connectivity methods as promising tools to refine existing neural systems models of adolescent behavior. In particular, functional connectivity studies might help explain how these neural systems are integrated with one another. We use the Triadic Model of motivated behavior as framework, and review the few published developmental functional connectivity studies, including the various methods of connectivity analysis.

5 citations


Cited by
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Journal ArticleDOI
TL;DR: This work presents a heuristic neural systems model, the Triadic Model, as a way to provide a theoretical framework for the neuroscience research on motivated behaviors, and discusses the principles guiding reward task development.

164 citations

Journal ArticleDOI
TL;DR: Findings on the development of functional and structural brain networks from the prenatal to late adolescent period indicated that local efficiency, global efficiency and modularity, may stabilize in adolescence, while findings for resting-state functional MRI were mixed.

60 citations

Journal ArticleDOI
TL;DR: This special issue brings together the presentation of a theoretical heuristic model of neural systems function, commentaries criticizing the model, and responses to these commentaries.

2 citations

Journal ArticleDOI
TL;DR: The past method of studying brain function has been to study those who have had some type of pathological brain damage and then identify the deficits, but recently developmental neuroscience literature has moved in a new direction and Functional magnetic resonance imaging studies have become remarkably sophisticated.

1 citations