Cognitive dysfunction is a primary deficiency in ADHD, highlighting issues in attention, impulsivity, and control.
Many studies confirm functional deficits in ADHD, particularly in pediatric and adolescent populations.
Deficient reward processing has emerged as a critical aspect of ADHD; it can cause cognitive deficits or result from poor executive processes.
Sagvolden et al. (2005) suggest that sub-optimal dopamine levels lead to difficulties in learning executive function behaviors due to a steeper delay of reinforcement gradient.
Sonuga-Barke (2003) and Barkley (1997) argue that poor executive processing capabilities lead to lower performance and avoidance of delayed rewards.
Studies demonstrate decision-making (DM) deficits in ADHD concerning temporal discounting (TD), risky DM, and reinforcement learning (RL).
ADHD is not just a childhood disorder; it persists into adulthood with a prevalence of about 4.4%.
Adult symptoms often manifest as inattention rather than hyperactivity, which is more prominent in children.
The understanding of DM deficits in adults with ADHD needs further investigation due to motivational and cognitive differences between children and adults.
DM in this context refers to processes leading to action where one of several decision alternatives is selected.
Key aspects of DM related to ADHD:
Reinforcement Learning (RL)
Dependent on the dopamine neurotransmitter system, crucial to ADHD theories.
Involves significant tasks like the Iowa Gambling Task (IGT), where individuals learn to make advantageous choices.
Risky Decision-Making (DM)
Refers to situations with uncertain outcomes, e.g., gambling or driving.
ADHD adults exhibit risky behavior documented in studies (higher rates of driving errors, substance abuse, and gambling).
Temporal Discounting (TD)
Children with ADHD often prefer immediate small rewards over larger delayed ones.
Various tasks assess this tendency, including Delay Discounting Tasks (DDT).
The CPT tests attention and vigilance, noting measures like errors of omission and commission.
Variations between CPT versions complicate comparisons between studies due to differing target and non-target stimuli ratios.
DDM combines reaction time and accuracy to understand decision-making mechanisms.
Main parameters:
Drift Rate: Speed of evidence accumulation.
Boundary Separation: Decision thresholds that need to be surpassed to trigger a response.
ADHD participants have demonstrated slower processing speed and higher boundary separation in DDM analysis.
The literature search drew from databases, filtering for studies with adult ADHD samples that matched relevant criteria for effect size calculations.
A total of 59 studies met the inclusion criteria, with a focus on both DM and CPT measures, including aspects like reaction times and error rates.
The meta-analysis highlights:
Small to medium effect sizes exist for both DM and CPT.
Strongest effects found for commission errors in CPT and RL in DM.
Risky DM shows smaller effect sizes in adults compared to children.
DM deficits observed in adults with ADHD are comparable to attention deficits.
The absence of TD deficits in adults was unexpected; there may be insufficient studies available to draw reliable conclusions on this subdomain.
Findings indicate ADHD adults might adapt strategies to manage reward processing, even if they still display cognitive deficits.
Adults with ADHD face significant deficits in attention and DM, comparable to those seen in traditional ADHD assessments.
There's a need for more studies focusing on computerized DM tasks and refining their design to assess adult-specific ADHD characteristics.