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Altered Neural Processing of the Need to Stop in Young Adults at Risk for Stimulant Dependence

Harlé, Katia M. ; Shenoy, Pradeep ; Stewart, Jennifer L. ; Tapert, Susan F. ; Yu, Angela J. ; Paulus, Martin P. (2014)
Altered Neural Processing of the Need to Stop in Young Adults at Risk for Stimulant Dependence.
In: The Journal of Neuroscience, 34 (13)
doi: 10.1523/JNEUROSCI.2297-13.2014
Artikel, Bibliographie

Kurzbeschreibung (Abstract)

Identification of neurocognitive predictors of substance dependence is an important step in developing approaches to prevent addiction. Given evidence of inhibitory control deficits in substance abusers (; ; ; ), we examined neural processing characteristics in human occasional stimulant users (OSU), a population at risk for dependence. A total of 158 nondependent OSU and 47 stimulant-naive control subjects (CS) were recruited and completed a stop signal task while undergoing functional magnetic resonance imaging (fMRI). A Bayesian ideal observer model was used to predict probabilistic expectations of inhibitory demand, P(stop), on a trial-to-trial basis, based on experienced trial history. Compared with CS, OSU showed attenuated neural activation related to P(stop) magnitude in several areas, including left prefrontal cortex and left caudate. OSU also showed reduced neural activation in the dorsal anterior cingulate cortex (dACC) and right insula in response to an unsigned Bayesian prediction error representing the discrepancy between stimulus outcome and the predicted probability of a stop trial. These results indicate that, despite minimal overt behavioral manifestations, OSU use fewer brain processing resources to predict and update the need for response inhibition, processes that are critical for adjusting and optimizing behavioral performance, which may provide a biomarker for the development of substance dependence.

Typ des Eintrags: Artikel
Erschienen: 2014
Autor(en): Harlé, Katia M. ; Shenoy, Pradeep ; Stewart, Jennifer L. ; Tapert, Susan F. ; Yu, Angela J. ; Paulus, Martin P.
Art des Eintrags: Bibliographie
Titel: Altered Neural Processing of the Need to Stop in Young Adults at Risk for Stimulant Dependence
Sprache: Englisch
Publikationsjahr: März 2014
Ort: Washington, DC
Verlag: Society for Neuroscience
Titel der Zeitschrift, Zeitung oder Schriftenreihe: The Journal of Neuroscience
Jahrgang/Volume einer Zeitschrift: 34
(Heft-)Nummer: 13
DOI: 10.1523/JNEUROSCI.2297-13.2014
URL / URN: https://www.jneurosci.org/content/34/13/4567
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Kurzbeschreibung (Abstract):

Identification of neurocognitive predictors of substance dependence is an important step in developing approaches to prevent addiction. Given evidence of inhibitory control deficits in substance abusers (; ; ; ), we examined neural processing characteristics in human occasional stimulant users (OSU), a population at risk for dependence. A total of 158 nondependent OSU and 47 stimulant-naive control subjects (CS) were recruited and completed a stop signal task while undergoing functional magnetic resonance imaging (fMRI). A Bayesian ideal observer model was used to predict probabilistic expectations of inhibitory demand, P(stop), on a trial-to-trial basis, based on experienced trial history. Compared with CS, OSU showed attenuated neural activation related to P(stop) magnitude in several areas, including left prefrontal cortex and left caudate. OSU also showed reduced neural activation in the dorsal anterior cingulate cortex (dACC) and right insula in response to an unsigned Bayesian prediction error representing the discrepancy between stimulus outcome and the predicted probability of a stop trial. These results indicate that, despite minimal overt behavioral manifestations, OSU use fewer brain processing resources to predict and update the need for response inhibition, processes that are critical for adjusting and optimizing behavioral performance, which may provide a biomarker for the development of substance dependence.

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33 citations (Crossref) 2023-10-13

Fachbereich(e)/-gebiet(e): 03 Fachbereich Humanwissenschaften
03 Fachbereich Humanwissenschaften > Institut für Psychologie
Hinterlegungsdatum: 01 Nov 2023 12:58
Letzte Änderung: 02 Nov 2023 07:36
PPN: 51282827X
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