Nora D Volkow, Gene-Jack Wang, Scott H Kollins, Tim L Wigal, Jeffrey H Newcorn
8 min
This study sought to identify the biological basis for reward and motivation deficits in adults with ADHD by examining the dopamine reward pathway, specifically the mesoaccumbens circuit. Researchers hypothesized that abnormalities in this pathway might underpin the clinical symptoms of inattention and impaired responsiveness to rewards frequently observed in these patients.
Researchers conducted a positron emission tomography (PET) study involving 53 non-medicated adults diagnosed with ADHD and 44 healthy controls. The team used two specific radioligands: [11C]cocaine to measure dopamine transporter (DAT) availability and [11C]raclopride to measure D2/D3 dopamine receptor availability. These markers provide a direct look at the presynaptic and postsynaptic components of the brain's reward circuitry. The study utilized statistical parametric mapping to compare the groups across the whole brain, followed by region-of-interest analysis to corroborate the findings in specific areas like the nucleus accumbens, midbrain, caudate, and hypothalamus.
The imaging results revealed that participants with ADHD had significantly lower binding potential for both DAT and D2/D3 receptors in the left side of the brain compared to controls. These reductions were specifically located in the nucleus accumbens, midbrain, and ventral caudate—areas critical for reward processing and motivation. Furthermore, the researchers found a significant correlation between lower dopamine markers in these regions and higher severity of inattention symptoms, as measured by the SWAN rating scale. The study also provided preliminary evidence of potential hypothalamic involvement, which may explain comorbidities related to sleep and metabolism.
The findings support the "dopamine hypothesis" of ADHD, providing structural evidence that deficiencies in the mesoaccumbens pathway contribute to the disorder's core symptoms. By linking dopamine depletion in the reward pathway directly to inattention, the study suggests that ADHD patients may struggle with tasks that lack intrinsic reward, as the brain's reinforcement system is underactive. This reinforces the rationale for therapeutic interventions—including both contingency management and stimulant medications—that aim to boost dopamine signaling or increase the salience of tasks to improve focus and performance.
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.
Alex: Medication history could complicate that comparison. Who actually went into the scanner?
Sam: The study included 53 adults with ADHD who had never received medication. They were compared with 44 healthy controls. Recruitment involved several clinical centers, while PET imaging took place at Brookhaven National Laboratory.
Alex: Never-medicated participants help with one concern. What else did the researchers exclude?
Sam: They excluded prior substance abuse other than nicotine, other psychiatric diagnoses, and several conditions that could affect brain function. They also excluded prior psychotropic treatment. That makes the comparison cleaner, but narrows the population to which we should apply the findings.
Alex: Once they had the scans, did they only inspect the regions they expected to differ?
Sam: No. They first searched the images statistically without selecting anatomical regions in advance. Then they checked the detected differences using independently drawn brain regions. That corroboration matters because the findings did not rest solely on one way of defining the affected areas.
Alex: Let’s get to the result. Where did the measurements differ?
Sam: Both receptor and transporter availability were lower in the ADHD group in the left accumbens and midbrain. The regional checks also supported lower availability in the left caudate, another region involved in dopamine signaling. There were no regions with significantly higher availability in the ADHD group.
Alex: Lower can mean a very small shift or a large separation. Can you put one comparison into scale?
Sam: In the accumbens, average receptor availability was about six percent lower than in controls. Average transporter availability there was about eleven percent lower. These are differences in tracer-binding measurements, not percentages of dopamine missing from the brain.
Alex: So we should not hear those results as a scan showing that someone has too little dopamine.
Sam: Correct. The measures describe how available the tracer’s binding targets are under the scanning conditions. They do not directly count dopamine molecules or neurons. The authors discuss several biological explanations for lower binding, and the scans do not fully distinguish them.
Alex: How does attention enter the analysis? A group difference alone would not tell us whether these markers track symptoms.
Sam: Participants completed a rating scale covering attention and activity or reflectivity. It captured strengths as well as difficulties, rather than only counting symptoms. Across participants with available ratings, lower receptor availability in several regions was associated with greater inattention.
Alex: Across participants means the ADHD group and controls together. Did the transporter measure show the same relationship everywhere?
Sam: The significant transporter association with attention was in the midbrain. And none of the relationships with activity or reflectivity was significant. So the reported symptom link was to inattention, not to every dimension of ADHD.
Alex: That supports a specific association. But the opening hypothesis was about reward and motivation. What bridges those two?
Sam: The bridge is the known role of this pathway in reward and motivation, plus earlier evidence of altered reward responses in ADHD. The authors suggest this could help explain why attention difficulties are especially evident during boring, repetitive, uninteresting tasks. But their study did not measure reward sensitivity.
Alex: Then they cannot show that the people with lower markers were also the people responding differently to rewards.
Sam: They cannot establish that link here. That is the central limitation for the reward interpretation. Nor does an observational comparison show that the marker differences caused inattention, rather than accompanying it.
Alex: What other measurement issue most affects how confidently we interpret the scans?
Sam: Receptor-tracer binding is influenced by dopamine already present outside cells. Lower binding could mean fewer available receptors, or more dopamine competing with the tracer. The authors consider increased dopamine release unlikely, citing lower release in a previously studied subgroup, but that does not make receptor availability a simple receptor count.
Alex: And the transporter result has its own ambiguity?
Sam: Lower transporter availability could reflect fewer dopamine terminals, or less transporter expression at each terminal. The tracers were also less sensitive in regions with sparse targets, including the midbrain. And because the significant differences were left-sided without a prior laterality hypothesis, that asymmetry needs replication.
Alex: What can intervention researchers reasonably take from this, without treating it as a treatment trial?
Sam: The authors argue that the findings support making school and work tasks more salient, or engaging. They cite previous evidence that motivational interventions and contingency management, where consequences depend on behavior, improve performance. But this study itself did not test whether changing task rewards changed attention or brain markers.
Alex: Who should read the full document, and where should they start?
Sam: Researchers studying ADHD, attention, or reward circuits should read the receptor and transporter results alongside the Limitations section. Look first at the comparison between never-medicated adults and controls, then at how the attention associations were assessed across participants. Intervention researchers should read the clinical implications in the Comment section as a rationale, not a treatment result.
Alex: And for someone who only needs the central finding?
Sam: In this sample, reward-pathway markers tracked inattention; whether they explained reward difficulties remained untested.
Alex: Thanks for listening.