headshot of Shaolin Yang

Shaolin Yang

Assistant Professor
Bioengineering Department


Nigro, S.E., Wu, M., Juliano, A.C., Napier, T.C., Landay, A.L., French, A.L., & Yang, S. (2022). Impaired verbal memory in individuals living with HIV and cocaine dependence. JOURNAL OF CLINICAL AND EXPERIMENTAL NEUROPSYCHOLOGY, 44(2), 134-145.Informa UK Limited. doi: 10.1080/13803395.2022.2086219.

Xiong, Y., Tian, T., Fan, Y., Yang, S., Xiong, X., Zhang, Q., & Zhu, W. (2022). Diffusion Tensor Imaging Reveals Altered Topological Efficiency of Structural Networks in Type‐2 Diabetes Patients With and Without Mild Cognitive Impairment. Journal of Magnetic Resonance Imaging, 55(3), 917-927.Wiley. doi: 10.1002/jmri.27884.

Yang, S., & Tseng, K.Y. (2022). Maturation of Corticolimbic Functional Connectivity During Sensitive Periods of Brain Development. Curr Top Behav Neurosci, 53, 37-53.Springer International Publishing. doi: 10.1007/7854_2021_239.

Nigro, S.E., Wu, M., C. Juliano, A., Flynn, B., Lu, L.H., Landay, A.L., French, A.L., & Yang, S. (2021). Effects of cocaine and HIV on decision-making abilities. JOURNAL OF NEUROVIROLOGY, 27(3), 422-433.Springer Science and Business Media LLC. doi: 10.1007/s13365-021-00965-1.

Xiong, Y., Sui, Y., Zhang, S., Zhou, X.J., Yang, S., Fan, Y., Zhang, Q., & Zhu, W. (2019). Brain microstructural alterations in type 2 diabetes: diffusion kurtosis imaging provides added value to diffusion tensor imaging. European Radiology, 29(4), 1997-2008.Springer Science and Business Media LLC. doi: 10.1007/s00330-018-5746-y.

Yang, S., Wu, M., Ajilore, O., Lamar, M., & Kumar, A. (2019). Impaired biophysical integrity of macromolecular protein pools in the uncinate circuit in late-life depression. MOLECULAR PSYCHIATRY, 24(12), 1844-1855.Springer Science and Business Media LLC. doi: 10.1038/s41380-018-0085-6.

Ma, T., Yang, S., Jing, H., Cong, L., Cao, Z., Liu, Z., & Huang, Z. (2018). Apparent diffusion coefficients in prostate cancer: correlation with molecular markers Ki‐67, HIF‐1α and VEGF. NMR in Biomedicine, 31(3).Wiley. doi: 10.1002/nbm.3884.

Wu, M., Fatukasi, O., Yang, S., Alger, J., Barker, P.B., Hetherington, H., Kim, T., Levine, A., Martin, E., Munro, C.A., Parrish, T., Ragin, A., Sacktor, N., Seaberg, E., Becker, J.T., & Grp, N.W. (2018). HIV disease and diabetes interact to affect brain white matter hyperintensities and cognition. AIDS, 32(13), 1803-1810.Ovid Technologies (Wolters Kluwer Health). doi: 10.1097/QAD.0000000000001891.

Gonzales, M.M., Ajilore, O., Charlton, R.C., Cohen, J., Yang, S., Sieg, E., Bhaumik, D.K., Kumar, A., & Lamar, M. (2017). Divergent Influences of Cardiovascular Disease Risk Factor Domains on Cognition and Gray and White Matter Morphology. Psychosomatic Medicine, 79(5), 541-548.Ovid Technologies (Wolters Kluwer Health). doi: 10.1097/psy.0000000000000448.

Karstens, A.J., Ajilore, O., Rubin, L.H., Yang, S., Zhang, A., Leow, A., Kumar, A., & Lamar, M. (2017). Investigating the separate and interactive associations of trauma and depression on brain structure: implications for cognition and aging. International Journal of Geriatric Psychiatry, 32(11), 1190-1199.Wiley. doi: 10.1002/gps.4755.

Wu, M., Fang, L., Ray, C.E., Kumar, A., & Yang, S. (2017). Adaptively Optimized Combination (AOC) of Phased‐Array MR Spectroscopy Data in the Presence of Correlated Noise: Compared with Noise‐Decorrelated or Whitened Methods. Magnetic Resonance in Medicine, 78(3), 848-859.Wiley. doi: 10.1002/mrm.26504.

Fang, L., Wu, M., Ke, H., Kumar, A., & Yang, S. (2016). Adaptively optimized combination (AOC) of magnetic resonance spectroscopy data from phased array coils. Magnetic Resonance in Medicine, 75(6), 2235-2244.Wiley. doi: 10.1002/mrm.25786.

Kumar, A., Yang, S., Ajilore, O., Wu, M., Cohen, J., Lamar, M., & Bhaumik, D. (2016). Biophysical changes in subcortical nuclei: the impact of diabetes and major depression. Molecular Psychiatry, 21(4), 531-536.Springer Science and Business Media LLC. doi: 10.1038/mp.2015.89.

Lamar, M., Ajilore, O., Leow, A., Charlton, R., Cohen, J., GadElkarim, J., Yang, S., Zhang, A., Davis, R., Penney, D., Libon, D.J., & Kumar, A. (2016). Cognitive and connectome properties detectable through individual differences in graphomotor organization. Neuropsychologia, 85, 301-309.Elsevier BV. doi: 10.1016/j.neuropsychologia.2016.03.034.

Liu, P., Dimitrov, I., Andrews, T., Crane, D.E., Dariotis, J.K., Desmond, J., Dumas, J., Gilbert, G., Kumar, A., Maclntosh, B.J., Tucholka, A., Yang, S., Xiao, G., & Lu, H. (2016). Multisite evaluations of a T2‐relaxation‐under‐spin‐tagging (TRUST) MRI technique to measure brain oxygenation. Magnetic Resonance in Medicine, 75(2), 680-687.Wiley. doi: 10.1002/mrm.25627.

Wu, M., Kumar, A., & Yang, S. (2016). Development and aging of superficial white matter myelin from young adulthood to old age: Mapping by vertex‐based surface statistics (VBSS). Human Brain Mapping, 37(5), 1759-1769.Wiley. doi: 10.1002/hbm.23134.

Yang, S., Wu, M., Ajilore, O., Lamar, M., & Kumar, A. (2016). Metabolic Aberrations Impact Biophysical Integrity of Macromolecular Protein Pools in the Default Mode Network. Diabetes, 65(11), 3464-3472.American Diabetes Association. doi: 10.2337/db15-1714.

Cai, K., Singh, A., Poptani, H., Li, W., Yang, S., Lu, Y., Hariharan, H., Zhou, X.J., & Reddy, R. (2015). CEST signal at 2 ppm (CEST@2ppm) from Z‐spectral fitting correlates with creatine distribution in brain tumor. NMR in Biomedicine, 28(1), 1-8.Wiley. doi: 10.1002/nbm.3216.

Charlton, R.A., Leow, A., GadElkarim, J., Zhang, A., Ajilore, O., Yang, S., Lamar, M., & Kumar, A. (2015). Brain Connectivity in Late-Life Depression and Aging Revealed by Network Analysis. The American Journal of Geriatric Psychiatry, 23(6), 642-650.Elsevier BV. doi: 10.1016/j.jagp.2014.07.008.

Lamar, M., Rubin, L., Ajilore, O., Charlton, R., Zhang, A., Yang, S., Cohen, J., & Kumar, A. (2015). What Metabolic Syndrome Contributes to Brain Outcomes in African American & Caucasian Cohorts. Current Alzheimer Research, 12(7), 640-647.Bentham Science Publishers Ltd. doi: 10.2174/1567205012666150701102325.

Tadayonnejad, R., Yang, S., Kumar, A., & Ajilore, O. (2015). Clinical, cognitive, and functional connectivity correlations of resting-state intrinsic brain activity alterations in unmedicated depression. Journal of Affective Disorders, 172, 241-250.Elsevier BV. doi: 10.1016/j.jad.2014.10.017.

Wijtenburg, S.A., Yang, S., Fischer, B.A., & Rowland, L.M. (2015). In vivo assessment of neurotransmitters and modulators with magnetic resonance spectroscopy: Application to schizophrenia. Neuroscience & Biobehavioral Reviews, 51, 276-295.Elsevier BV. doi: 10.1016/j.neubiorev.2015.01.007.

Yang, S., Ajilore, O., Wu, M., Lamar, M., & Kumar, A. (2015). Impaired Macromolecular Protein Pools in Fronto-Striato-Thalamic Circuits in Type 2 Diabetes Revealed by Magnetization Transfer Imaging. Diabetes, 64(1), 183-192.American Diabetes Association. doi: 10.2337/db14-0316.

Yang, S., Belcher, A.M., Chefer, S., Vaupel, D.B., Schindler, C.W., Stein, E.A., & Yang, Y. (2015). Withdrawal from long-term methamphetamine self-administration ‘normalizes’ neurometabolites in rhesus monkeys: a1H MR spectroscopy study. Addiction Biology, 20(1), 69-79.Wiley. doi: 10.1111/adb.12078.

Ye, A.Q., Ajilore, O.A., Conte, G., GadElkarim, J., Thomas-Ramos, G., Zhan, L., Yang, S., Kumar, A., Magin, R.L., G. Forbes, A., & Leow, A.D. (2015). The intrinsic geometry of the human brain connectome. Brain Informatics, 2(4), 197-210.Springer Science and Business Media LLC. doi: 10.1007/s40708-015-0022-2.

Ye, A.Q., Zhan, L., Conrin, S., GadElKarim, J., Zhang, A., Yang, S., Feusner, J.D., Kumar, A., Ajilore, O., & Leow, A. (2015). Measuring embeddedness: Hierarchical scale-dependent information exchange efficiency of the human brain connectome. Hum Brain Mapp, 36(9), 3653-3665.Wiley. doi: 10.1002/hbm.22869.

Ajilore, O., Lamar, M., Leow, A., Zhang, A., Yang, S., & Kumar, A. (2014). Graph Theory Analysis of Cortical-Subcortical Networks in Late-Life Depression. The American Journal of Geriatric Psychiatry, 22(2), 195-206.Elsevier BV. doi: 10.1016/j.jagp.2013.03.005.

Charlton, R.A., Lamar, M., Zhang, A., Yang, S., Ajilore, O., & Kumar, A. (2014). White-matter tract integrity in late-life depression: associations with severity and cognition. Psychological Medicine, 44(7), 1427-1437.Cambridge University Press (CUP). doi: 10.1017/s0033291713001980.

Kumar, A., Yang, S., Ajilore, O., Wu, M., Charlton, R., & Lamar, M. (2014). Subcortical biophysical abnormalities in patients with mood disorders. Molecular Psychiatry, 19(6), 710-716.Springer Science and Business Media LLC. doi: 10.1038/mp.2013.84.

Lin, M., Kumar, A., & Yang, S. (2014). Two-dimensional semi-LASER correlation spectroscopy with well-maintained cross peaks. Magnetic Resonance in Medicine, 72(1), 26-32.Wiley. doi: 10.1002/mrm.24933.

Lin, M., Kumar, A., & Yang, S. (2014). Two‐dimensional J‐resolved LASER and semi‐LASER spectroscopy of human brain. Magnetic Resonance in Medicine, 71(3), 911-920.Wiley. doi: 10.1002/mrm.24732.

Wu, M., Lu, L.H., Lowes, A., Yang, S., Passarotti, A.M., Zhou, X.J., & Pavuluri, M.N. (2014). Development of superficial white matter and its structural interplay with cortical gray matter in children and adolescents. Human Brain Mapping, 35(6), 2806-2816.Wiley. doi: 10.1002/hbm.22368.

Ajilore, O., Zhan, L., GadElkarim, J., Zhang, A., Feusner, J.D., Yang, S., Thompson, P.M., Kumar, A., & Leow, A. (2013). Constructing the resting state structural connectome. Frontiers in Neuroinformatics, 7(DEC).Frontiers Media SA. doi: 10.3389/fninf.2013.00030.

Lamar, M., Charlton, R.A., Ajilore, O., Zhang, A., Yang, S., Barrick, T.R., Rhodes, E., & Kumar, A. (2013). Prefrontal vulnerabilities and whole brain connectivity in aging and depression. Neuropsychologia, 51(8), 1463-1470.Elsevier BV. doi: 10.1016/j.neuropsychologia.2013.05.004.

Zhang, A., Ajilore, O., Zhan, L., Gadelkarim, J., Korthauer, L., Yang, S., Leow, A., & Kumar, A. (2013). White matter tract integrity of anterior limb of internal capsule in major depression and type 2 diabetes. Neuropsychopharmacology, 38(8), 1451-1459.Springer Science and Business Media LLC. doi: 10.1038/npp.2013.41.

Zhang, A., Leow, A., Ajilore, O., Lamar, M., Yang, S., Joseph, J., Medina, J., Zhan, L., & Kumar, A. (2012). Quantitative tract-specific measures of uncinate and cingulum in major depression using diffusion tensor imaging. Neuropsychopharmacology, 37(4), 959-967.Springer Science and Business Media LLC. doi: 10.1038/npp.2011.279.

Zhang, X., Ross, T.J., Jo Salmeron, B., Yang, S., Yang, Y., & Stein, E.A. (2011). Single subject task‐related BOLD signal artifact in a real‐time fMRI feedback paradigm. Human Brain Mapping, 32(4), 592-600.Wiley. doi: 10.1002/hbm.21046.

Yang, S., Salmeron, B.J., Ross, T.J., Xi, Z.X., Stein, E.A., & Yang, Y. (2009). Lower glutamate levels in rostral anterior cingulate of chronic cocaine users — A 1H-MRS study using TE-averaged PRESS at 3 T with an optimized quantification strategy. Psychiatry Research: Neuroimaging, 174(3), 171-176.Elsevier BV. doi: 10.1016/j.pscychresns.2009.05.004.

Lu, H., Yang, S., Zuo, Y., Demny, S., Stein, E.A., & Yang, Y. (2008). Real-time animal functional magnetic resonance imaging and its application to neuropharmacological studies. Magnetic Resonance Imaging, 26(9), 1266-1272.Elsevier BV. doi: 10.1016/j.mri.2008.02.020.

Yang, S., Hu, J., Kou, Z., & Yang, Y. (2008). Spectral simplification for resolved glutamate and glutamine measurement using a standard STEAM sequence with optimized timing parameters at 3, 4, 4.7, 7, and 9.4T. Magnetic Resonance in Medicine, 59(2), 236-244.Wiley. doi: 10.1002/mrm.21463.

Hu, J., Yang, S., Xuan, Y., Jiang, Q., Yang, Y., & Haacke, E.M. (2007). Simultaneous detection of resolved glutamate, glutamine, and γ-aminobutyric acid at 4T. Journal of Magnetic Resonance, 185(2), 204-213.Elsevier BV. doi: 10.1016/j.jmr.2006.12.010.

Yang, S., Ross, T.J., Zhang, Y., Stein, E.A., & Yang, Y. (2005). Head motion suppression using real-time feedback of motion information and its effects on task performance in fMRI. NeuroImage, 27(1), 153-162.Elsevier BV. doi: 10.1016/j.neuroimage.2005.02.050.

Tadayonnejad, R., Yang, S., Kumar, A., & Ajilore, O. Multimodal Brain Connectivity Analysis in Unmedicated Late-Life Depression. PLoS ONE, 9(4), e96033.Public Library of Science (PLoS). doi: 10.1371/journal.pone.0096033.