Publications

Selected Publications

* denotes co-first authorship. Full list on Google Scholar.

5.
Nat Med2023

A shared neural basis underlying psychiatric comorbidity

Xie C, Xiang ST, et al.

Nature Medicine, 2023

This study systematically investigated the neuropsychopathological N factor underlying comorbid psychopathology, revealing shared neural mechanisms across different psychiatric disorders through large-scale neuroimaging analysis.

NeuropsychopathologyComorbidityfMRIN factor
4.
Nat Ment Health2026

Hierarchical Neurocognitive Model of Externalizing and Internalizing Comorbidity

Xie C, Xiang S, Zheng Y, et al.

Nature Mental Health, 2026: 1–15

This study presents a hierarchical neurocognitive model explaining the comorbidity between externalizing and internalizing disorders, providing insights into shared and distinct neural mechanisms.

Neurocognitive ModelExternalizingInternalizingComorbidity
3.
Sci Adv20217(6): eabd4074

Neural Network Involving Medial Orbitofrontal Cortex and Dorsal Periaqueductal Gray Regulation in Human Alcohol Abuse

Jia T*, Xie C*, Banaschewski T, et al.

Science Advances, 2021, 7(6): eabd4074

This study reveals a neural network involving the medial orbitofrontal cortex and dorsal periaqueductal gray in the regulation of human alcohol abuse behaviors.

Alcohol AbuseOrbitofrontal CortexPeriaqueductal GrayNeural Network
2.
Biol Psychiatry CNNI20216(3): 259–269

Reward Versus Nonreward Sensitivity of the Medial Versus Lateral Orbitofrontal Cortex Relates to the Severity of Depressive Symptoms

Xie C*, Jia T*, Rolls ET, et al.

Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 2021, 6(3): 259–269

This study examines how reward versus nonreward sensitivity of the medial versus lateral orbitofrontal cortex relates to the severity of depressive symptoms.

DepressionOrbitofrontal CortexReward SensitivityfMRI
1.
NeuroImage2023284: 120463

Fractionation of Neural Reward Processing into Independent Components by Novel Decoding Principle

Xiang S*, Jia T*, Xie C*, et al.

NeuroImage, 2023, 284: 120463

This study fractionates neural reward processing into independent components using a novel decoding principle, advancing our understanding of reward circuitry.

Reward ProcessingDecodingfMRINeuroimaging