New perspectives on neural systems models of adolescent behavior: Functional brain connectivity

C. O. Carlisi, N. Pavletic, M. Ernst

Research output: Contribution to journalArticle

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.

Original languageEnglish (US)
Pages (from-to)209-218
Number of pages10
JournalNeuropsychiatrie de l'Enfance et de l'Adolescence
Volume61
Issue number4
DOIs
StatePublished - Jul 2013
Externally publishedYes

Fingerprint

Adolescent Behavior
Brain
Interpersonal Relations
Reward
Theoretical Models

Keywords

  • Adolescence
  • Approach
  • Avoidance
  • Cognitive control
  • Connectivity
  • Development
  • Neural systems
  • Resting state
  • Triadic model

ASJC Scopus subject areas

  • Pediatrics, Perinatology, and Child Health
  • Psychiatry and Mental health
  • Developmental and Educational Psychology

Cite this

New perspectives on neural systems models of adolescent behavior : Functional brain connectivity. / Carlisi, C. O.; Pavletic, N.; Ernst, M.

In: Neuropsychiatrie de l'Enfance et de l'Adolescence, Vol. 61, No. 4, 07.2013, p. 209-218.

Research output: Contribution to journalArticle

@article{aa34091e23a14e7bac5d4930faf64de6,
title = "New perspectives on neural systems models of adolescent behavior: Functional brain connectivity",
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.",
keywords = "Adolescence, Approach, Avoidance, Cognitive control, Connectivity, Development, Neural systems, Resting state, Triadic model",
author = "Carlisi, {C. O.} and N. Pavletic and M. Ernst",
year = "2013",
month = "7",
doi = "10.1016/j.neurenf.2013.02.003",
language = "English (US)",
volume = "61",
pages = "209--218",
journal = "Neuropsychiatrie de l'Enfance et de l'Adolescence",
issn = "0222-9617",
publisher = "Elsevier Masson",
number = "4",

}

TY - JOUR

T1 - New perspectives on neural systems models of adolescent behavior

T2 - Functional brain connectivity

AU - Carlisi, C. O.

AU - Pavletic, N.

AU - Ernst, M.

PY - 2013/7

Y1 - 2013/7

N2 - 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.

AB - 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.

KW - Adolescence

KW - Approach

KW - Avoidance

KW - Cognitive control

KW - Connectivity

KW - Development

KW - Neural systems

KW - Resting state

KW - Triadic model

UR - http://www.scopus.com/inward/record.url?scp=84879093508&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84879093508&partnerID=8YFLogxK

U2 - 10.1016/j.neurenf.2013.02.003

DO - 10.1016/j.neurenf.2013.02.003

M3 - Article

AN - SCOPUS:84879093508

VL - 61

SP - 209

EP - 218

JO - Neuropsychiatrie de l'Enfance et de l'Adolescence

JF - Neuropsychiatrie de l'Enfance et de l'Adolescence

SN - 0222-9617

IS - 4

ER -