University of Illinois at Chicago,
Departments of Psychiatry (M/C 912)
1601 W Taylor St, Suite 512,
Chicago, IL 60612
Office Phone: (312)-413-3818
L Fang, M Wu, H Ke, A Kumar, S Yang*, “Adaptively optimized combination of magnetic resonance spectroscopy data from phased array coils”, Magnetic Resonance in Medicine, 2015 (in press) (* corresponding author).
S Yang*, O Ajilore, M Wu, M Lamar, and A Kumar*, “Impaired macromolecular protein pools in fronto-striato-thalamic circuits in type 2 diabetes revealed by magnetization transfer imaging”, Diabetes, vol. 64, no. 1, pp. 183-192, 2015 (* corresponding author).
S Yang*, A Belcher*, S Chefer, DB Vaupel, C Schindler, EA Stein, and Y Yang, “Withdrawal from long-term methamphetamine self-administration ‘normalizes’ neurometabolites in rhesus monkeys: A 1H MR spectroscopy study”, Addiction Biology, vol. 20, no. 1, pp. 69-79, 2015 (* equal contribution to this paper).
A Kumar, S Yang, O Ajilore, M Wu, J Cohen, M Lamar, and D Bhaumik, “Biophysical changes in subcortical nuclei: The impact of diabetes and major depression”, Molecular Psychiatry, 2015 (in press).
SA Wijtenburg, S Yang, BA Fischer, and LM Rowland, “In vivo assessment of neurotransmitters and modulators with magnetic resonance spectroscopy: Application to schizophrenia”, Neuroscience and Biobehavioral Reviews, 2015 (in press)
R Tadayonnejad,S Yang, A Kumar, and O Ajilore, “Clinical, cognitive, and functional connectivity correlations of resting-state intrinsic brain activity alterations in unmedicated depression”, Journal of Affective Disorders, vol. 172, no. 4, pp. 241-250, 2015.
M Lamar, L Rubin, O Ajilore, A Zhang, S Yang, J Cohen, A Kumar, “What metabolic syndrome contributes to brain outcomes in African American and Caucasian cohorts”, Current Alzheimer Research, 2015 (in press).
M Lin, A Kumar, and S Yang*, “Two-dimensional J-resolved LASER and semi-LASER spectroscopy of human brain”, Magnetic Resonance in Medicine, vol. 71, no. 3, pp. 911-920, 2014 (* corresponding author).
M Lin, A Kumar, and S Yang*, “Two-dimensional semi-LASER correlation spectroscopy with well-maintained cross peaks”, Magnetic Resonance in Medicine, vol. 72, no. 1, pp. 26-32, 2014 (* corresponding author).
A Kumar, S Yang, O Ajilore, M Wu, R Charlton, and M Lamar, “Subcortical biophysical abnormalities in patients with mood disorders”, Molecular Psychiatry, vol. 19, no. 6, pp. 710-716, 2014.
M Wu, LH Lu, A Lowes, S Yang, AM Passarotti, XJ Zhou, and MN Pavuluri, “Development of superficial white matter and its structural interplay with cortical gray matter in children and adolescents”, Human Brain Mapping, vol. 35, no. 6, pp. 2806-2816, 2014.
R Tadayonnejad,S Yang, A Kumar, and O Ajilore, “Multimodal brain connectivity analysis in unmedicated late-life depression”, PLoS ONE, vol. 9, no. 4, pp. e96033, 2014.
R Charlton, M Lamar, A Zhang, S Yang, O Ajilore, and A Kumar, “White matter tract integrity in late-life depression: associations with severity and cognition”, Psychological Medicine, vol. 44, no. 7, pp. 1427-1437, 2014.
O Ajilore, L Zhan, J GadElkarim, A Zhang, JD Feusner, S Yang, PM Thompson, A Kumar, and A Leow, “Constructing the resting state structural connectome”, Frontiers in Neuroinformatics, 2014 (in press).
R Charlton, A Leow, J GadElkarim, A Zhang, O Ajilore, S Yang, M Lamar, and A Kumar, “Brain connectivity in late-life depression and aging revealed by network analysis”, American Journal of Geriatric Psychiatry, 2014 (in press).
O Ajilore, M Lamar, A Leow, A Zhang, S Yang, and A Kumar, “Graph theory analysis of cortical-subcortical networks in late-life depression”, American Journal of Geriatric Psychiatry, vol. 22, no. 2, pp. 195-206, 2014.
M Lamar, R Charlton, O Ajilore, A Zhang, S Yang, T Barrick, E Rhodes, and A Kumar, “Prefrontal vulnerabilities and whole brain connectivity in aging and depression”, Neuropsychologia, vol. 51, no. 8, pp. 1463-1470, 2013.
A Zhang, O Ajilore; L Zhan, J GadElkarim, L Korthauer, S Yang, A Leow, and A Kumar, “White matter tract integrity of anterior limb of internal capsule in major depression and type 2 diabetes”, Neuropsychopharmacology, vol. 38, no. 4, pp. 1451-1459, 2013.
A Zhang, A Leow, O Ajilore, M Lamar, S Yang, J Joseph, J Medina, L Zhan, and A Kumar, “Quantitative tract-specific measures of uncinate and cingulum in major depression using diffusion tensor imaging”, Neuropsychopharmacology, vol. 37, no. 4, pp. 959-967, 2012.
X Zhang, TJ Ross, BJ Salmeron, S Yang, Y Yang, and EA Stein, “Real-time fMRI feedback: single subject task-related BOLD signal artifact”, Human Brain Mapping, vol. 32, no.4, pp. 592-600, 2011.
S Yang, BJ Salmeron, TJ Ross, ZX Xi, EA Stein, and Y Yang, “Lower glutamate levels in rostral anterior cingulate of chronic cocaine users – a 1H-MRS study using TE-averaged PRESS at 3T with an optimized quantification strategy”, Psychiatry Research: Neuroimaging,vol. 174, no.3, pp. 171-176, 2009.
H Lu, S Yang, Y Zuo, S Demny, EA Stein, and Y Yang, “Real-time animal functional magnetic resonance imaging and its application to neuropharmacological studies”, Magnetic Resonance Imaging, vol. 26, no.9, pp. 1266-1272, 2008.
S Yang, J Hu, Z Kou, and Y Yang, “Spectral simplification for resolved glutamate and glutamine measurement using a standard STEAM sequence with optimized timing parameters at 3, 4, 4.7, 7, and 9.4 Tesla”, Magnetic Resonance in Medicine, vol. 59, no. 2, pp. 236-244, 2008.
S Yang, TJ Ross, and Y Yang, “Real-time functional magnetic resonance imaging and its applications”, Chapter V, page 129-153, in Lars N. Bakker (Ed.), Brain Mapping Research Developments, ISBN 978-1-60456-007-7, Nova Science Publishers Inc., Hauppauge, NY, USA, 2008.
J Hu*, S Yang*, X Yang, Q Jiang, Y Yang, and EM Haacke, “Simultaneous detection of resolved glutamate, glutamine, and g-aminobutyric acid at 4 Tesla”, Journal of Magnetic Resonance,vol. 185, no. 2, pp. 204-213,2007. (* equal contribution to this paper)
S Yang, TJ Ross, Y Zhang, EA Stein, and Y Yang, “Head-motion suppression using real-time feedback of motion information and its effects on task performance in fMRI”, NeuroImage , vol. 27, no. 1, pp. 153-162, 2005.
Y Yang, H Gu, TJ Ross, W Zhan, and S Yang, “Single-shot magnetic resonance imaging (MRI) techniques and their applications”, Chapter 8, page 241-280, inCornelius T. Leondes (Ed.), Medical Imaging Systems Technology (a 5-Volume Set, ISBN 981-256-364-4) - Modalities (thesecond volume, ISBN 981-256-992-8), World Scientific Publishing Co., Hackensack, NJ, USA, 2005.
Shaolin Yang, PhD
Assistant Professor of Physics in Psychiatry, Radiology, and Bioengineering
Director of Neuro Magnetic Resonance Spectroscopy in Psychiatry
Dr. Yang received training in magnetic resonance imaging (MRI) and spectroscopy (MRS) at Cornell University, University of Pittsburgh, and National Institute on Drug Abuse (NIDA)/National Institutes of Health (NIH), respectively, where he developed new 1H MR spectroscopy methods (including optimized 1D spectroscopy, 2D J-resolved spectroscopy and correlation spectroscopy, and spectral editing) to noninvasively measure neurotransmitters Glutamate and GABA and other metabolites such as Glutamine and Glutathione in study of normal brain function, type 2 diabetes, neurological and psychiatric disorders, substance abuse, and HIV. He also developed methods in real-time functional MRI (fMRI) for neurofeedback, magnetization transfer (MT) imaging to examine the integrity of white matter and gray matter, perfusion MRI for measurement of cerebral blood flow and volume, and resting-state fMRI methods to study functional connectivity. Recently, he also involved projects using diffusion tensor imaging (DTI). The goal is to integrate these multimodal approaches (MRS, MT, fMRI, and DTI) to study brain function and develop efficient therapies for treatment of neurological and psychiatric disorders, type 2 diabetes, substance abuse, and HIV. Dr. Yang moved from NIDA/NIH to UIC at the end of 2009.
Type 2 diabetes and major depression, late-life depression, anxiety disorders, substance abuse and HIV, magnetic resonance spectroscopy, magnetization transfer imaging, functional magnetic resonance imaging, and diffusion tensor imaging
Organization for Human Brain Mapping