Attention-deficit/hyperactivity disorder (ADHD) and bipolar disorder (BD) share DSM-IV criteria in adults and cause problems in decision-making. Nevertheless, no previous report has assessed a decision-making task that includes the examination of the neural correlates of reward and gambling in adults with ADHD and those with BD

A Bechara

A Beck

A Kaladjian

A Rangel

A Rey

Agustin Ibanez

Agustin Petroni

AL Krain

Alicia Lischinsky

AP Wingo

BD Dunn

BJ Weber

BY Hayden

C Spielberg

CT Taylor

D Fernandez-Duque

D Lee

D Weschler

DJ Martino

E Gleichgerrcht

E Yechiam

EA Crone

ES Barratt

Esteban Hurtado

F Benedetti

F Jollant

F Manes

Facundo Manes

FC Murphy

Fernando Torrente

FF Manes

G Wilbertz

Hugo Urquina

J Biederman

J Fujiwara

J Partington

J Peters

J Roiser

JO Brooks

JS Rubinsztein

Juan Esteban Kamienkowski

Julia Teitelbaum

JW Kable

KD Chang

KN Fountoulakis

L Clark

L Malloy-Diniz

LJ Klassen

Luis M. Martinez

M Brand

M Ernst

M Luman

M Schecklmann

Marcelo Cetkovich

Margherita Melloni

Maria Luz Gonzalez-Gadea

Mariano Sigman

MF Rushworth

MT Buelow

MX Huang

N Tzourio-Mazoyer

N Yeung

ND Volkow

P Slovic

PW Glimcher

R Barkley

R San Martin

RA Chandler

Raphael Guex

RC Young

S Baillet

S Nieuwenhuis

SA Montgomery

Sandra Baez

Sergio Strejilevich

SG Dickstein

T Christodoulou

T Mantyla

T Torralva

Teresa Torralva

TL Jameson

WJ Gehring

X Li

PLoS ONE

English

PubMed

Attention-deficit/hyperactivity disorder (ADHD) and bipolar disorder (BD) share DSM-IV criteria in adults and cause problems in decision-making. Nevertheless, no previous report has assessed a decision-making task that includes the examination of the neural correlates of reward and gambling in adults with ADHD and those with BD.We used the Iowa gambling task (IGT), a task of rational decision-making under risk (RDMUR) and a rapid-decision gambling task (RDGT) which elicits behavioral measures as well as event-related potentials (ERPs: fERN and P3) in connection to the motivational impact of events. We did not observe between-group differences for decision-making under risk or ambiguity (RDMUR and IGT); however, there were significant differences for the ERP-assessed RDGT. Compared to controls, the ADHD group showed a pattern of impaired learning by feedback (fERN) and insensitivity to reward magnitude (P3). This ERP pattern (fERN and P3) was associated with impulsivity, hyperactivity, executive function and working memory. Compared to controls, the BD group showed fERN- and P3-enhanced responses to reward magnitude regardless of valence. This ERP pattern (fERN and P3) was associated with mood and inhibitory control. Consistent with the ERP findings, an analysis of source location revealed reduced responses of the cingulate cortex to the valence and magnitude of rewards in patients with ADHD and BD.Our data suggest that neurophysiological (ERPs) paradigms such as the RDGT are well suited to assess subclinical decision-making processes in patients with ADHD and BD as well as for linking the cingulate cortex with action monitoring systems

Ibanez Agustin

Cetkovich Marcelo

Petroni Agustin

Urquina Hugo

Baez Sandra

Gonzalez-Gadea Maria Luz

Kamienkowski Juan Esteban

Torralva Teresa

Torrente Fernando

Strejilevich Sergio

Teitelbaum Julia

Hurtado Esteban

Guex Raphael

Melloni Margherita

Lischinsky Alicia

Sigman Mariano

Manes Facundo

Public Library of Science (PLOS)

The Neural Basis of Decision-Making and Reward Processing in Adults with Euthymic Bipolar Disorder or Attention-Deficit/Hyperactivity Disorder (ADHD)

Background: Attention-deficit/hyperactivity disorder (ADHD) and bipolar disorder (BD) share DSM-IV criteria in adults and
cause problems in decision-making. Nevertheless, no previous report has assessed a decision-making task that includes the
examination of the neural correlates of reward and gambling in adults with ADHD and those with BD.
Methodology/Principal Findings: We used the Iowa gambling task (IGT), a task of rational decision-making under risk
(RDMUR) and a rapid-decision gambling task (RDGT) which elicits behavioral measures as well as event-related potentials
(ERPs: fERN and P3) in connection to the motivational impact of events. We did not observe between-group differences for
decision-making under risk or ambiguity (RDMUR and IGT); however, there were significant differences for the ERP-assessed
RDGT. Compared to controls, the ADHD group showed a pattern of impaired learning by feedback (fERN) and insensitivity
to reward magnitude (P3). This ERP pattern (fERN and P3) was associated with impulsivity, hyperactivity, executive function
and working memory. Compared to controls, the BD group showed fERN- and P3-enhanced responses to reward magnitude
regardless of valence. This ERP pattern (fERN and P3) was associated with mood and inhibitory control. Consistent with the
ERP findings, an analysis of source location revealed reduced responses of the cingulate cortex to the valence and
magnitude of rewards in patients with ADHD and BD.
Conclusions/Significance: Our data suggest that neurophysiological (ERPs) paradigms such as the RDGT are well suited to
assess subclinical decision-making processes in patients with ADHD and BD as well as for linking the cingulate cortex with
action monitoring systems.Fil: Ibañez, Agustín. Laboratory of Experimental Psychology and Neuroscience, Institute of Cognitive Neurology and Institute of Neuroscience, Favaloro University, Buenos Aires, Argentina. National Scientific and Technical Research Council, Buenos Aires, Argentina. Laboratory of Cognitive and Social Neuroscience, Universidad Diego Portales, Santiago, Chile,Fil: Cetkovich, Marcelo.  Laboratory of Experimental Psychology and Neuroscience, Institute of Cognitive Neurology and Institute of Neuroscience, Favaloro University, Buenos Aires, ArgentinaFil: Petroni, Agustín.National Scientific and Technical Research Council, Buenos Aires, Argentina. Integrative Neuroscience Laboratory, Physics Department, University of Buenos AiresFil: Urquina, Hugo. Laboratory of Experimental Psychology and Neuroscience, Institute of Cognitive Neurology and Institute of Neuroscience, Favaloro University, Buenos Aires, Argentina. Neurored, Universidad Surcolombiana, Neiva, ColombiaFil: Baez, Sandra. Laboratory of Experimental Psychology and Neuroscience, Institute of Cognitive Neurology and Institute of Neuroscience, Favaloro University, Buenos Aires, Argentina. National Scientific and Technical Research Council, Buenos Aires, Argentina. Pontificia Universidad Cato´ lica Argentina, Buenos Aires, ArgentinaFil: Gonzalez-Gadea, María Luz.  Laboratory of Experimental Psychology and Neuroscience, Institute of Cognitive Neurology and Institute of Neuroscience, Favaloro University, Buenos Aires, Argentina. National Scientific and Technical Research Council, Buenos Aires, ArgentinaFil: Kamienkowski, Juan Esteban. Integrative Neuroscience Laboratory, Physics Department, University of Buenos Aires, Buenos Aires, ArgentinaFil: Torralva, Teresa. Laboratory of Experimental Psychology and Neuroscience, Institute of Cognitive Neurology and Institute of Neuroscience, Favaloro University, Buenos Aires, ArgentinaFil: Torrente, Fernando. Laboratory of Experimental Psychology and Neuroscience, Institute of Cognitive Neurology and Institute of Neuroscience, Favaloro University, Buenos Aires, ArgentinaFil: Strejilevich, Sergio. Laboratory of Experimental Psychology and Neuroscience, Institute of Cognitive Neurology and Institute of Neuroscience, Favaloro University, Buenos Aires, ArgentinaFil: Teitelbaum, Julia. Laboratory of Experimental Psychology and Neuroscience, Institute of Cognitive Neurology and Institute of Neuroscience, Favaloro University, Buenos Aires, ArgentinaFil: Hurtado, Esteban. Laboratory of Cognitive and Social Neuroscience, Universidad Diego Portales, Santiago, Chile. Pontificia Universidad Católica de Chile, Santiago, ChileFil: Guex, Raphael. Laboratory for Behavioral Neurology and Imaging of Cognition, University of Geneva, Geneva, SwitzerlandFil: Melloni, Margherita.  Laboratory of Experimental Psychology and Neuroscience, Institute of Cognitive Neurology and Institute of Neuroscience, Favaloro University, Buenos Aires, ArgentinaFil: Lischinsky, Alicia. Laboratory of Experimental Psychology and Neuroscience, Institute of Cognitive Neurology and Institute of Neuroscience, Favaloro University, Buenos Aires, ArgentinaFil: Sigman, Mariano. National Scientific and Technical Research Council, Buenos Aires, Argentina. Universidad Torcuato Di Tella, Escuela de Negocios, Laboratorio de Neurociencia, Buenos Aires, ArgentinaFil: Manes, Facundo. Laboratory of Experimental Psychology and Neuroscience, Institute of Cognitive Neurology and Institute of Neuroscience, Favaloro University, Buenos Aires, Argentin

Ibañez, Agustín

Cetkovich, Marcelo

Petroni, Agustín

Urquina, Hugo

Baez, Sandra

Gonzalez-Gadea, María Luz

Kamienkowski, Juan Esteban

Torralva, Teresa

Torrente, Fernando

Strejilevich, Sergio

Teitelbaum, Julia

Hurtado, Esteban

Guex, Raphael

Melloni, Margherita

Lischinsky, Alicia

Sigman, Mariano

Manes, Facundo

Repositorio Digital Universidad Torcuato Di Tella

The neural basis of decision-making and reward processing in adults with euthymic bipolar disorder or attention-deficit/hyperactivity disorder (ADHD)

BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) and bipolar disorder (BD) share DSM-IV criteria in adults and cause problems in decision-making. Nevertheless, no previous report has assessed a decision-making task that includes the examination of the neural correlates of reward and gambling in adults with ADHD and those with BD. METHODOLOGY/PRINCIPAL FINDINGS: We used the Iowa gambling task (IGT), a task of rational decision-making under risk (RDMUR) and a rapid-decision gambling task (RDGT) which elicits behavioral measures as well as event-related potentials (ERPs: fERN and P3) in connection to the motivational impact of events. We did not observe between-group differences for decision-making under risk or ambiguity (RDMUR and IGT); however, there were significant differences for the ERP-assessed RDGT. Compared to controls, the ADHD group showed a pattern of impaired learning by feedback (fERN) and insensitivity to reward magnitude (P3). This ERP pattern (fERN and P3) was associated with impulsivity, hyperactivity, executive function and working memory. Compared to controls, the BD group showed fERN- and P3-enhanced responses to reward magnitude regardless of valence. This ERP pattern (fERN and P3) was associated with mood and inhibitory control. Consistent with the ERP findings, an analysis of source location revealed reduced responses of the cingulate cortex to the valence and magnitude of rewards in patients with ADHD and BD. CONCLUSIONS/SIGNIFICANCE: Our data suggest that neurophysiological (ERPs) paradigms such as the RDGT are well suited to assess subclinical decision-making processes in patients with ADHD and BD as well as for linking the cingulate cortex with action monitoring systems

Directory of Open Access Journals

The neural basis of decision-making and reward processing in adults with euthymic bipolar disorder or attention-deficit/hyperactivity disorder (ADHD).

Ibanez, Agustin

Petroni, Agustin

Gonzalez-Gadea, Maria Luz

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The Neural Basis of Decision-Making and Reward Processing in Adults with Euthymic Bipolar Disorder or Attention-Deficit/Hyperactivity Disorder (ADHD)

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Public Library of Science (PLOS)

Repositorio Digital Universidad Torcuato Di Tella

Directory of Open Access Journals

Archive ouverte UNIGE

Crossref