Xiaolong Peng

Xiaolong Peng is a Lecturer in the Department of Psychiatry and Behavioral Sciences at the Medical University of South Carolina (MUSC). He holds a Ph.D. in Biomedical Engineering from Xi'an Jiaotong University, China. His research focuses on individualized computational brain imaging techniques, including functional and structural MRI, dynamic brain state analysis, and cortical parcellation, with applications in psychiatric disorders (e.g., depression, schizophrenia), neurologic conditions (e.g., stroke), addiction, and cross-species MRI studies.

Key research interests include brain stimulation methods (TMS, taVNS, tFUS), multi-modal neuroimaging analysis, and developing neuroimaging biomarkers for mental health treatments. He leads studies such as 'Tracking Brain Imaging Changes in Depression over TMS Therapy' and 'Developing Biomarkers for taVNS in Autism Spectrum Disorder' at MUSC. His work bridges computational neuroscience with clinical applications, emphasizing personalized medicine approaches.

Peng’s studies highlight advancements in understanding brain dynamics during therapy and biomarker development for neuromodulation techniques. He collaborates on NIH-funded initiatives and contributes to global initiatives like ENIGMA-Chronic Pain. While no awards are listed, his active research portfolio demonstrates impactful contributions to psychiatric and neurological imaging research.

Advising and grants: His current projects involve collaborations with clinical teams at MUSC, focusing on translational research. Recruitment contacts for his studies include specialists like Katherine Tucker and Nicole Cash. His lab’s activities are integrated into MUSC’s research infrastructure, emphasizing patient-centered neuroimaging innovations.