Evaluating Dopamine Reward Pathway in ADHD

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Nora D. Volkow, Yeming Ma, Kith Pradhan, Gene‐Jack Wang, Joanna S. Fowler, Frank Telang, James M. Swanson, Scott H. Kollins, Jeffrey H. Newcorn, Jean Logan, Christopher Wong, Tim Wigal, Wei Zhu
2009-09-08

ADHDD2/D3 receptorsdopamine reward pathwaydopamine transporterspositron emission tomography
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 < or = .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 < or = .001). CONCLUSION: A reduction in dopamine synaptic markers associated with symptoms of inattention was shown in the dopamine reward pathway of participants with ADHD.
1
Adults with ADHD showed lower dopamine transporter (DAT) binding than healthy controls in left reward-pathway regions, including the nucleus accumbens, midbrain, and caudate.
2
Dopamine D2/D3 receptor binding was also reduced in adults with ADHD in the left nucleus accumbens, midbrain, and caudate.
3
Nucleus accumbens D2/D3 binding averaged 2.68 in ADHD versus 2.85 in controls (P = .004), and midbrain binding averaged 0.18 versus 0.28 (P = .01).
4
Nucleus accumbens DAT binding averaged 0.63 in ADHD versus 0.71 in controls (P = .004), while midbrain DAT binding averaged 0.09 versus 0.16 (P ≤ .001).
5
The findings support reduced mesoaccumbens dopamine signaling as a biological basis for reward and motivation deficits in adults with ADHD.

The mesoaccumbens brain dopamine reward pathway in nonmedicated adults with ADHD and healthy controls

Dopamine transporter and D(2)/D(3) receptor availability as biological correlates of reward-motivation deficits in ADHD

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2009-09-08
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Nora D. Volkow
Yeming Ma
Kith Pradhan
Gene‐Jack Wang
Joanna S. Fowler
Frank Telang
James M. Swanson
Scott H. Kollins
Jeffrey H. Newcorn
Jean Logan
Christopher Wong
Tim Wigal
Wei Zhu
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