Ran Zhang

The paper identifies a distinct neurofunctional signature of romantic love that generalizes to social media rewards and cannabis use, and is modulated by oxytocin.

This study investigates how disgust propensity and sensitivity influence neural responses to disgust stimuli, finding that propensity, not sensitivity, modulates activity in key brain regions.

The paper identifies a distributed neural architecture of sustained affect that generalizes across external and internal experiences and is associated with depression symptoms.

The paper uses neuroimaging data to dissect the neural differences between unfairness and moral emotions like anger and disgust, identifying distinct brain networks involved in each.

The paper develops a brain affective arousal signature (BAAS) using fMRI and predictive modeling, showing its generalizability across valence domains and distinction from autonomic arousal.

The paper models reward and emotional prediction errors in social transgressions using fMRI and finds distinct neural mechanisms for each, with reward PE having a stronger impact on punishment decisions.

The paper identifies dissociable neural connectome patterns for reward and punishment sensitivity using multimodal fMRI and transcriptomic data, linking them to specific gene sets and neurotransmitter systems.

The paper develops a neurofunctional signature of disgust using fMRI and machine learning, showing it generalizes across core disgust, gustatory distaste, and socio-moral contexts.

This study shows that losartan improves reward learning by enhancing ventral striatal prediction errors and frontostriatal communication in healthy humans.

This study shows that Losartan, an angiotensin II type 1 receptor antagonist, alters social reward and punishment processing by modulating midbrain-striato-frontal circuits in humans.

This study uses a precision pharmacological fMRI approach to show that losartan reduces neural reactivity to fear-inducing stimuli by targeting AT1R, without affecting threat or novelty responses.