Yihong Yang, Ph.D.

Senior Investigator

Neuroimaging Research Branch, Magnetic Resonance Imaging and Spectroscopy Section

NIDA

Biomedical Research Center
251 Bayview Boulevard
Suite 200, Room 7A709
Baltimore, MD 21224

443-740-2648

yihongyang@intra.nida.nih.gov

Research Topics

Dr. Yang’s research has been conducted in the following aspects:
  1. To develop advanced neuroimaging technology and understand the neurophysiological basis of neuroimaging measures;
  2. To identify system-level biomarkers of substance addiction using advanced neuroimaging technology;
  3. To investigate neuroadaptations in translational animal models of psychiatric and neurological disorders.

Biography

Dr. Yang received his Ph.D. degree in Biophysics from the University of Illinois at Urbana-Champaign in 1995. His training was on the magnetic resonance imaging and spectroscopy and their applications in biology and medicine. He was a Postdoctoral Fellow in the Laboratory of Diagnostic Radiology Research, Clinical Center, National Institutes of Health from 1995 to 1998. He was then an Assistant Professor at the Department of Psychiatry, Weill Medical College of Cornell University from 1998 to 2002. He became an Investigator and Chief of MRI Physics at the National Institute on Drug Abuse in 2002, and then a Senior Investigator and Chief of MR Imaging and Spectroscopy Section in 2007.

Selected Publications

  1. Liang X, Zou Q, He Y, Yang Y. Topologically Reorganized Connectivity Architecture of Default-Mode, Executive-Control, and Salience Networks across Working Memory Task Loads. Cereb Cortex. 2016;26(4):1501-1511.

  2. Liang X, He Y, Salmeron BJ, Gu H, Stein EA, Yang Y. Interactions between the salience and default-mode networks are disrupted in cocaine addiction. J Neurosci. 2015;35(21):8081-90.

  3. Hu Y, Salmeron BJ, Gu H, Stein EA, Yang Y. Impaired functional connectivity within and between frontostriatal circuits and its association with compulsive drug use and trait impulsivity in cocaine addiction. JAMA Psychiatry. 2015;72(6):584-92.

  4. Geng X, Hu Y, Gu H, Salmeron BJ, Adinoff B, Stein EA, Yang Y. Salience and default mode network dysregulation in chronic cocaine users predict treatment outcome. Brain. 2017.

  5. Hsu LM, Liang X, Gu H, Brynildsen JK, Stark JA, Ash JA, Lin CP, Lu H, Rapp PR, Stein EA, Yang Y. Constituents and functional implications of the rat default mode network. Proc Natl Acad Sci U S A. 2016;113(31):E4541-7.


This page was last updated on November 2nd, 2018