» Articles » PMID: 25176616

Who Are Those "risk-taking Adolescents"? Individual Differences in Developmental Neuroimaging Research

Overview
Publisher Elsevier
Specialties Neurology
Psychiatry
Date 2014 Sep 2
PMID 25176616
Citations 79
Authors
Affiliations
Soon will be listed here.
Abstract

Functional magnetic resonance imaging (fMRI) has illuminated the development of human brain function. Some of this work in typically-developing youth has ostensibly captured neural underpinnings of adolescent behavior which is characterized by risk-seeking propensity, according to psychometric questionnaires and a wealth of anecdote. Notably, cross-sectional comparisons have revealed age-dependent differences between adolescents and other age groups in regional brain responsiveness to prospective or experienced rewards (usually greater in adolescents) or penalties (usually diminished in adolescents). These differences have been interpreted as reflecting an imbalance between motivational drive and behavioral control mechanisms, especially in mid-adolescence, thus promoting greater risk-taking. While intriguing, we caution here that researchers should be more circumspect in attributing clinically significant adolescent risky behavior to age-group differences in task-elicited fMRI responses from neurotypical subjects. This is because actual mortality and morbidity from behavioral causes (e.g. substance abuse, violence) by mid-adolescence is heavily concentrated in individuals who are not neurotypical, who rather have shown a lifelong history of behavioral disinhibition that frequently meets criteria for a disruptive behavior disorder, such as conduct disorder, oppositional-defiant disorder, or attention-deficit hyperactivity disorder. These young people are at extreme risk of poor psychosocial outcomes, and should be a focus of future neurodevelopmental research.

Citing Articles

Effects of early-life environmental stress on risk-taking tendency of adolescents in rural areas of southwestern China.

Wu J, Wu Q Front Psychiatry. 2024; 15:1520790.

PMID: 39726911 PMC: 11669707. DOI: 10.3389/fpsyt.2024.1520790.


Risk-Taking Is Associated with Decreased Subjective Value Signals and Increased Prediction Error Signals in the Hot Columbia Card Task.

Wullhorst R, Wullhorst V, Endrass T J Neurosci. 2024; 44(21).

PMID: 38561225 PMC: 11112641. DOI: 10.1523/JNEUROSCI.1337-23.2024.


Developmental changes in brain function linked with addiction-like social media use two years later.

Flannery J, Burnell K, Kwon S, Jorgensen N, Prinstein M, Lindquist K Soc Cogn Affect Neurosci. 2024; 19(1).

PMID: 38334692 PMC: 10873518. DOI: 10.1093/scan/nsae008.


Cool and hot executive function problems in young children: linking self-regulation processes to emerging clinical symptoms.

Anning K, Langley K, Hobson C, van Goozen S Eur Child Adolesc Psychiatry. 2024; 33(8):2705-2718.

PMID: 38183461 PMC: 11272683. DOI: 10.1007/s00787-023-02344-z.


Identification of a Composite Latent Dimension of Reward and Impulsivity Across Clinical, Behavioral, and Neurobiological Domains Among Youth.

Kohler R, Lichenstein S, Cheng A, Holmes A, Bzdok D, Pearlson G Biol Psychiatry Cogn Neurosci Neuroimaging. 2023; 9(4):407-416.

PMID: 38052266 PMC: 11149944. DOI: 10.1016/j.bpsc.2023.11.008.


References
1.
Casey B, Somerville L, Gotlib I, Ayduk O, Franklin N, Askren M . Behavioral and neural correlates of delay of gratification 40 years later. Proc Natl Acad Sci U S A. 2011; 108(36):14998-5003. PMC: 3169162. DOI: 10.1073/pnas.1108561108. View

2.
Bechara A, Van der Linden M . Decision-making and impulse control after frontal lobe injuries. Curr Opin Neurol. 2005; 18(6):734-9. DOI: 10.1097/01.wco.0000194141.56429.3c. View

3.
Somerville L, Hare T, Casey B . Frontostriatal maturation predicts cognitive control failure to appetitive cues in adolescents. J Cogn Neurosci. 2010; 23(9):2123-34. PMC: 3131482. DOI: 10.1162/jocn.2010.21572. View

4.
Bjork J, Knutson B, Hommer D . Incentive-elicited striatal activation in adolescent children of alcoholics. Addiction. 2008; 103(8):1308-19. DOI: 10.1111/j.1360-0443.2008.02250.x. View

5.
Ridderinkhof K, Ullsperger M, Crone E, Nieuwenhuis S . The role of the medial frontal cortex in cognitive control. Science. 2004; 306(5695):443-7. DOI: 10.1126/science.1100301. View