Back

Reproducible Human Reward Imaging Phenotypes Exhibit Differential Sensitivity to Dopamine D2 Receptor Antagonism

Sambuco, N.; Lupo, A.; Hawkins, P.; Selvaggi, P.; Antonucci, L. A.; Bertolino, A.; Blasi, G.; Di Palo, P.; Grassi, L.; Grasso, D.; Homan, P.; Leggio, G.; Massari, F.; Monteleone, A. M.; Osugo, M.; Passiatore, R.; Raio, A.; Rampino, A.; Banaschewski, T.; Barker, G.; Bokde, A. L.; Bruehl, R.; Desrivieres, S.; Flor, H.; Garavan, H.; Gowland, P. A.; Grigis, A.; Heinz, A.; Martinot, J.-L.; Martinot, M.-L. P.; Artiges, E.; Nees, F.; Papadopoulos Orfanos, D.; Poustka, l.; Smolka, M. N.; Holz, N. E.; Vaidya, N.; Walter, H.; Whelan, R.; Schumann, G.; Apulian Network on Risk for Psychosis, ; Howes, O.;

2026-05-16 neuroscience
10.64898/2026.05.14.724267 bioRxiv
Show abstract

Human reward processing varies along cue-centric and outcome-centric axes, but a reproducible mechanistic account of individual variation in incentive salience attribution has been lacking. Using fMRI across five cohorts (N-total=1,252; N1=890; N2=245; N3=34; N4=48; N5=34), we identified two robust imaging phenotypes mirroring sign- and goal-tracking (ST-like, GT-like). ST-like individuals showed dominant ventral striatal responses to reward-anticipation cues and sustained incentive salience attribution; GT-like individuals showed heightened responses to reward outcomes. This distinction was replicable across sites and independent samples. Single-dose and repeated-dose D2/D3 antagonism (risperidone, haloperidol, amisulpride) selectively reduced anticipatory ventral striatal activity in ST, with single-dose antagonism additionally producing a parallel drop in self-reported energy. Instead, D2/D3 partial agonism (aripiprazole) increased anticipatory and reduced outcome-phase responses in GT. In a psychosis cohort, antipsychotic D2 affinity was associated with blunted anticipatory signals and higher negative symptom burden, offering a neuroimaging-driven basis for stratifying patients and predicting response to dopaminergic agents.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Nature Communications
4913 papers in training set
Top 8%
17.1%
2
Neuropsychopharmacology
134 papers in training set
Top 0.3%
9.8%
3
Brain
154 papers in training set
Top 0.7%
8.2%
4
Molecular Psychiatry
242 papers in training set
Top 0.3%
8.2%
5
Biological Psychiatry
119 papers in training set
Top 0.5%
6.6%
6
Nature Neuroscience
216 papers in training set
Top 2%
6.2%
50% of probability mass above
7
Nature
575 papers in training set
Top 6%
4.1%
8
Nature Human Behaviour
85 papers in training set
Top 0.8%
3.9%
9
Schizophrenia Bulletin
29 papers in training set
Top 0.3%
3.9%
10
JAMA Psychiatry
13 papers in training set
Top 0.1%
3.5%
11
Science Advances
1098 papers in training set
Top 9%
3.0%
12
Cell Reports
1338 papers in training set
Top 18%
3.0%
13
eLife
5422 papers in training set
Top 39%
1.8%
14
Neuron
282 papers in training set
Top 6%
1.7%
15
Cell Reports Medicine
140 papers in training set
Top 4%
1.6%
16
Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
62 papers in training set
Top 1%
1.3%
17
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 39%
1.2%
18
Nature Mental Health
18 papers in training set
Top 0.3%
0.9%
19
JCI Insight
241 papers in training set
Top 8%
0.7%
20
Journal of Clinical Investigation
164 papers in training set
Top 7%
0.7%
21
Scientific Reports
3102 papers in training set
Top 75%
0.7%
22
npj Digital Medicine
97 papers in training set
Top 4%
0.7%
23
The Journal of Neuroscience
928 papers in training set
Top 9%
0.6%