Artigo Acesso aberto Revisado por pares

Evaluating Dopamine Reward Pathway in ADHD

2009; American Medical Association; Volume: 302; Issue: 10 Linguagem: Inglês

10.1001/jama.2009.1308

ISSN

1538-3598

Autores

Nora D. Volkow, Gene‐Jack Wang, Scott H. Kollins, Tim Wigal, Jeffrey H. Newcorn, Frank Telang, Joanna S. Fowler, Wei Zhu, Jean Logan, Yeming Ma, Kith Pradhan, Christopher Wong, James M. Swanson,

Tópico(s)

Neural and Behavioral Psychology Studies

Resumo

Context Attention-deficit/hyperactivity disorder (ADHD)—characterized by symptoms of inattention and hyperactivity-impulsivity—is the most prevalent childhood psychiatric disorder that frequently persists into adulthood, and there is increasing evidence of reward-motivation deficits in this disorder. Objective To evaluate biological bases that might underlie a reward/motivation deficit by imaging key components of the brain dopamine reward pathway (mesoaccumbens). Design, Setting, and Participants We used positron emission tomography to measure dopamine synaptic markers (transporters and D 2 /D 3 receptors) in 53 nonmedicated adults with ADHD and 44 healthy controls between 2001-2009 at Brookhaven National Laboratory. Main Outcome Measures We measured specific binding of positron emission tomographic radioligands for dopamine transporters (DAT) using [ 11 C]cocaine and for D 2 /D 3 receptors using [ 11 C]raclopride, quantified as binding potential (distribution volume ratio −1). Results For both ligands, statistical parametric mapping showed that specific binding was lower in ADHD than in controls (threshold for significance set at P < .005) in regions of the dopamine reward pathway in the left side of the brain. Region-of-interest analyses corroborated these findings. The mean (95% confidence interval [CI] of mean difference) for DAT in the nucleus accumbens for controls was 0.71 vs 0.63 for those with ADHD (95% CI, 0.03-0.13, P = .004) and in the midbrain for controls was 0.16 vs 0.09 for those with ADHD (95% CI, 0.03-0.12; P ≤ .001); for D 2 /D 3 receptors, the mean accumbens for controls was 2.85 vs 2.68 for those with ADHD (95% CI, 0.06-0.30, P = .004); and in the midbrain, it was for controls 0.28 vs 0.18 for those with ADHD (95% CI, 0.02-0.17, P = .01). The analysis also corroborated differences in the left caudate: the mean DAT for controls was 0.66 vs 0.53 for those with ADHD (95% CI, 0.04-0.22; P = .003) and the mean D 2 /D 3 for controls was 2.80 vs 2.47 for those with ADHD (95% CI, 0.10-0.56; P = .005) and differences in D 2 /D 3 in the hypothalamic region, with controls having a mean of 0.12 vs 0.05 for those with ADHD (95% CI, 0.02-0.12; P = .004). Ratings of attention correlated with D 2 /D 3 in the accumbens (r = 0.35; 95% CI, 0.15-0.52; P = .001), midbrain (r = 0.35; 95% CI, 0.14-0.52; P = .001), caudate (r = 0.32; 95% CI, 0.11-0.50; P = .003), and hypothalamic (r = 0.31; CI, 0.10-0.49; P = .003) regions and with DAT in the midbrain (r = 0.37; 95% CI, 0.16-0.53; P ≤ .001). Conclusion A reduction in dopamine synaptic markers associated with symptoms of inattention was shown in the dopamine reward pathway of participants with ADHD.

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