ERPs associated with monitoring and evaluation of monetary reward and punishment in children with ADHD

Meel, Catharina S. van; Heslenfeld, Dirk J.; Oosterlaan, Jaap; Luman, Marjolein; Sergeant, Joseph A.

doi:10.1111/j.1469-7610.2010.02352.x

Cited by 59 publications

(56 citation statements)

References 53 publications

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“…when the choice was unrewarded) in both groups (intact versus lesioned model, (t(19)=14.21, p<0.0001). Again the RVPM activation is consistent with experimental data from ADHD patients, who exhibit a reduced amplitude of error related activity in EEG studies (Groen, et al, 2008;Herrmann, et al, 2010;van Meel, et al, 2011), if we 13 assume error-related activity to be due to reward omission (Holroyd & Coles, 2002).…”

Section: Simulation 1: Probabilistic Choice Taskssupporting

confidence: 83%

“…The latter characteristic is possibily related mainly to the hyperactive/impulsive dimension of ADHD , which could explain why some studies reported null results. Altered reinforcer sensitivity is reflected in altered electrophysiological activity related to RL processing (Groen, et al, 2008;Herrmann, et al, 2010;van Meel, Heslenfeld, Oosterlaan, Luman, & Sergeant, 2011;van Meel, Oosterlaan, Heslenfeld, & Sergeant, 2005).…”

Section: Rl Impairment In Adhdmentioning

confidence: 99%

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Deficient reinforcement learning in medial frontal cortex as a model of dopamine-related motivational deficits in ADHD

et al. 2013

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Attention Deficit/Hyperactivity Disorder (ADHD) is a pathophysiologically complex and heterogeneous condition with both cognitive and motivational components. We propose a novel computational hypothesis of motivational deficits in ADHD, drawing together recent evidence on the role of anterior cingulate cortex (ACC) and associated meso-limbic dopamine circuits in both reinforcement learning and ADHD. Based on findings of dopamine dysregulation and ACC involvement in ADHD we simulated a lesion in a previously validated computational model of ACC (Reward Value and Prediction Model, RVPM). We explored the effects of the lesion on the processing of reinforcement signals. We tested specific behavioural predictions about the profile of reinforcement-related deficits in ADHD in three experimental contexts; probability tracking task, partial and continuous reward schedules, and immediate versus delayed rewards. In addition, predictions were made at the neurophysiological level.Behavioural and neurophysiological predictions from the RVPM-based lesion-model of motivational dysfunction in ADHD were confirmed by data from previously published studies. RVPM represents a promising model of ADHD reinforcement learning suggesting that ACC dysregulation might play a role in the pathogenesis of motivational deficits in ADHD. However, more behavioral and neurophysiological studies are required to test core predictions of the model. In addition, the interaction with different brain networks underpinning other aspects of ADHD neuropathology (i.e., executive function) needs to be better understood.

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Section: Simulation 1: Probabilistic Choice Taskssupporting

confidence: 83%

Section: Rl Impairment In Adhdmentioning

confidence: 99%

Deficient reinforcement learning in medial frontal cortex as a model of dopamine-related motivational deficits in ADHD

et al. 2013

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“…Holroyd et al (2008) reported that children with AD/HDcom showed an atypical time-on-task effect in a virtual maze guessing task, with larger feedback ERN amplitude in the second than first half of the task, due mainly to a physical monetary reward at the half-way point and subsequent increased task engagement. In a time estimation task with visual feedback, children with AD/HDcom did not show differential modulation of FRN in reward and punishment conditions, or late positive potential (LPP) enhancement to punishment, indicating less effective monitoring of feedback and subsequent insufficient attention to feedback (van Meel et al, 2011).…”

Section: Feedback Processingmentioning

confidence: 91%

“…These processes play a role in monitoring or evaluation, and are differentially activated when an outcome is unexpected, incorrect, unfavourable, or in conflict with goals (van Meel et al, 2011).…”

Section: Performance Monitoringmentioning

confidence: 99%

“…In this research area, the need for tighter control of parameters such as task difficulty (as ERN differences may only be present when high levels of cognitive control are required), analysis type, and groups, have been suggested (Wild-Wall et al, 2009;van Meel et al, 2011), with the additional careful consideration of age grouping also being warranted.…”

Section: Performance Monitoringmentioning

confidence: 99%

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Ten years on: A follow-up review of ERP research in attention-deficit/hyperactivity disorder

Johnstone

Barry

Clarke

2013

Clinical Neurophysiology

148

132

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This article reviews the event-related potential (ERP) literature in relation to attention-deficit/hyperactivity disorder (AD/HD) over the years [2002][2003][2004][2005][2006][2007][2008][2009][2010][2011][2012]. ERP studies exploring various aspects of brain functioning in children and adolescents with AD/HD are reviewed, with a focus on group effects and interpretations in the domains of attention, inhibitory control, performance monitoring, non-pharmacological treatments, and ERP/energetics interactions. There has been a distinct shift in research intensity over the past 10 years, with a large increase in ERP studies conducted in the areas of inhibitory control and performance monitoring. Overall, the research has identified a substantial number of ERP correlates of AD/HD. Robust differences from healthy controls have been reported in early orienting, inhibitory control, and error-processing components. These data offer potential to improve our understanding of the specific brain dysfunction(s) which contribute to the disorder. The literature would benefit from a more rigorous approach to clinical group composition and consideration of age effects, as well as increased emphasis on replication and extension studies using exacting participant, task, and analysis parameters. • Research focus and intensity has been in the domains of attention, inhibitory control, performance monitoring, non-pharmacological treatments, and ERP/energetics interactions.• Some consistent differences from healthy controls are emerging, but more emphasis on replication and extension studies is needed to increase the consistency and specificity of results. AbstractThis article reviews the event-related potential (ERP) literature in relation to attentiondeficit/hyperactivity disorder (AD/HD) over the years 2002 to 2012. ERP studies exploring various aspects of brain functioning in children and adolescents with AD/HD are examined, with a focus on group effects and interpretations in the domains of attention, inhibitory control, performance monitoring, non-pharmacological treatments, and ERP/energetics interactions. There has been a distinct shift in research intensity over the past 10 years, with a large increase in ERP studies conducted in the areas of inhibitory control and performance monitoring. Overall, the research has identified a substantial number of ERP correlates of AD/HD. Robust differences from healthy controls have been reported in early orienting, inhibitory control, and error-processing components.These data offer potential to improve our understanding of the specific brain dysfunction(s) which contribute to the disorder. The literature would benefit from a more rigorous approach to clinical group composition and consideration of age effects, as well as increased emphasis on replication and extension studies using exacting participant, task, and analysis parameters.

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Role of the Medial Prefrontal Cortex in Impaired Decision Making in Juvenile Attention-Deficit/Hyperactivity Disorder

Iannaccone²,

et al. 2014

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IMPORTANCE Attention-deficit/hyperactivity disorder (ADHD) has been associated with deficient decision making and learning. Models of ADHD have suggested that these deficits could be caused by impaired reward prediction errors (RPEs). Reward prediction errors are signals that indicate violations of expectations and are known to be encoded by the dopaminergic system. However, the precise learning and decision-making deficits and their neurobiological correlates in ADHD are not well known. OBJECTIVE To determine the impaired decision-making and learning mechanisms in juvenile ADHD using advanced computational models, as well as the related neural RPE processes using multimodal neuroimaging. DESIGN, SETTING, AND PARTICIPANTS Twenty adolescents with ADHD and 20 healthy adolescents serving as controls (aged 12-16 years) were examined using a probabilistic reversal learning task while simultaneous functional magnetic resonance imaging and electroencephalogram were recorded. MAIN OUTCOMES AND MEASURES Learning and decision making were investigated by contrasting a hierarchical Bayesian model with an advanced reinforcement learning model and by comparing the model parameters. The neural correlates of RPEs were studied in functional magnetic resonance imaging and electroencephalogram. RESULTS Adolescents with ADHD showed more simplistic learning as reflected by the reinforcement learning model (exceedance probability, P x = .92) and had increased exploratory behavior compared with healthy controls (mean [SD] decision steepness parameter β: ADHD, 4.83 [2.97]; controls, 6.04 [2.53]; P = .02). The functional magnetic resonance imaging analysis revealed impaired RPE processing in the medial prefrontal cortex during cue as well as during outcome presentation (P < .05, family-wise error correction). The outcome-related impairment in the medial prefrontal cortex could be attributed to deficient processing at 200 to 400 milliseconds after feedback presentation as reflected by reduced feedback-related negativity (ADHD, 0.61 [3.90] μV; controls, −1.68 [2.52] μV; P = .04). CONCLUSIONS AND RELEVANCE The combination of computational modeling of behavior and multimodal neuroimaging revealed that impaired decision making and learning mechanisms in adolescents with ADHD are driven by impaired RPE processing in the medial prefrontal cortex. This novel, combined approach furthers the understanding of the pathomechanisms in ADHD and may advance treatment strategies.

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ERPs associated with monitoring and evaluation of monetary reward and punishment in children with ADHD

Cited by 59 publications

References 53 publications

Deficient reinforcement learning in medial frontal cortex as a model of dopamine-related motivational deficits in ADHD

Deficient reinforcement learning in medial frontal cortex as a model of dopamine-related motivational deficits in ADHD

Ten years on: A follow-up review of ERP research in attention-deficit/hyperactivity disorder

Role of the Medial Prefrontal Cortex in Impaired Decision Making in Juvenile Attention-Deficit/Hyperactivity Disorder

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