Assistant Professor, Department of Psychiatry, College of Medicine
- Phone: 501-526-8345
- Email: GAJames@uams.edu
G. Andrew James, Ph.D. received bachelor degrees in chemistry and applied psychology from the Georgia Institute of Technology. His graduate studies introduced him to functional neuroimaging, which perfectly fit his dual interests in analytical spectroscopy and human cognition. He received his doctorate in Neuroscience from the University of Florida, where he used functional MRI to model age-related changes in networks governing motor learning. In 2006, he accepted a postdoctoral fellowship with Dr. Xiaoping Hu of Emory University, where he pursued a variety of methodologically challenging neuroimaging projects such as taste perception of artificial sweeteners, motor network reorganization following stroke, and modeling individual differences in depressed patients’ emotion-regulating networks. In 2009, James joined the Department of Psychiatry and Behavioral Sciences in the College of Medicine at the University of Arkansas for Medical Sciences. As an assistant professor in the Brain Imaging Research Center, he is establishing the Cognitive Connectome to explore how the brain’s neural networks encode individual variability in personality and cognition.
By understanding how the healthy brain encodes cognition, he seeks to translate this technology into patient care and better inform clinical decision making. James believes that understanding individual differences in the neural encoding of traits such as craving, impulsivity, and working memory is crucial for understanding how these brain-behavior relationships are disrupted with addiction.
Gess JL, Fausett JS, Kearney-Ramos TE, Kilts CD, James GA. (2014)Task-dependent Recruitment of Resting State Networks Reflects Normative Variance in Cognition. Brain and Behavior, 4(5), 650-664. PMID in process, PMCID: 4107383.
Kearney-Ramos TE, Fausett JS, Gess JL, Reno A, Peraza J, Kilts CD, James GA. (2014) Merging Clinical Neuropsychology and Functional Neuroimaging to Evaluate the Construct Validity and Neural Network Engagement of the n-Back Task. Journal of the International Neuropsychological Society, 25, 1-15. PMID: 24963641
James GA, Tripathi SP, Kilts CD. (2014) Estimating brain network activity through back-projection of ICA components to GLM maps. Neuroscience Letters, Apr 3;564:21-6. PMID: 24513233
Kilts CD, Kennedy A, Elton A, Tripathi SP, Young J, Cisler JM, James GA. (2014) Individual Differences in Attentional Bias Associated with Cocaine Dependence are Related to Varying Engagement of Neural Processing Networks. Neuropsychopharmacology, 39(5): 1135-47. PMID: 24196947
Cisler JM, Elton A, Kennedy AP, Young J, Smitherman S, James GA, Kilts CD. Altered functional connectivity of the insular cortex across prefrontal networks in cocaine addiction. Psychiatry Res. 2013 Jul 30;213(1):39-46. PMID: 23684980
Stanger C, Elton A, Ryan SR, James GA, Budney AJ, Kilts CD. Neuroeconomics and adolescent substance abuse: individual differences in neural networks and delay discounting. J Am Acad Child Adolesc Psychiatry. 2013 Jul;52(7):747-755. PMID: 23800488
Elton A, Tripathi SP, Mletzko T, Young J, Cisler JM, James GA, & Kilts CD. (2013) Childhood maltreatment is associated with a sex-dependent functional reorganization of a brain inhibitory control network. Human Brain Mapping, April 24 (epub), PMID: 23616424.
James GA, Tripathi SP, Ojemann JG, Gross RE, Drane DL. (2013). Diminished Default Mode Network Recruitment of Hippocampus and Parahippocampus in Temporal Lobe Epilepsy. Journal of Neurosurgery. 119(2), 288-300. PMID: 23706058, PMCID in process.
Cisler JM, James GA, Tripathi S, Mletzko T, Heim C, Hu XP, Mayberg HS, Nemeroff CB & Kilts CD. (2013). Differential functional connectivity within an emotion regulation neural network among individuals resilient and susceptible to the depressogenic effects of early life stress. Psychological Medicine, 43, 507-518. PMID: 22781311.
Inman C, James GA, Hamann S, Rajendra J, Pagnoni G & Butler AJ. (2012) Altered resting-state effective connectivity of fronto-parietal motor control systems on the primary motor network following stroke. Neuroimage, 59, 227-237.
Bian J, Cisler J, Xie M, James GA, Seker R & Kilts C. “A Methodology for Empirical Analysis of Brain Connectivity through Graph Mining”, 2011 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2011), October 9-12, 2011, Anchorage, Alaska.
Craddock RC, James GA, Holzheimer PE, Hu XP & Mayberg HS. (2011) A whole brain fMRI atlas generated via spatially constrained spectral clustering. Human Brain Mapping 33(8): 1914-1928.
Hasenkamp W, James GA, Boshoven W & Duncan E. (2011) Altered Engagement of Attention and Default Networks during Target Detection in Schizophrenia. Schizophrenia Research, 25(2-3), 169-173.
Cáceda R, James GA, Ely T, Snarey J, Kilts C. (2011) Mode of effective connectivity within a putative neural network differentiates moral cognitions related to care and justice ethics. PLoSONE, 6(2); e14730.
Mehta N, Starner T, Jackson MM, Babalola K & James GA. Recognizing sign language from brain imaging. IEEE Proceedings International Conference on Pattern Recognition, August 2010.