Indiana University Bloomington

Neuroscience
Neuroscience
Sharlene D. Newman

Sharlene D. Newman

B.E., Vanderbilt University, Nashville, TN, 1993
M.S., University of Alabama at Birmingham, AL, 1996
Ph.D., University of Alabama at Birmingham, AL, 1999
Mini-Residency Program, University of Pittsburgh, 2004

Email address: sdnewman(at)indiana.edu

Research Interests

Cortical networks work together seamlessly to perform a myriad of incredibly complex cognitive functions. My research thus far can be described as being concerned with obtaining a clearer perspective of the functional and synergistic activities of these neuro-cognitive networks. Specifically, I have focused on two observed properties of cortical networks: 1) the components of neuro-cognitive networks appear to be extremely collaborative and 2) the involvement of the components appear to be dynamic, meaning that the composition of the network changes with changing computational demands. I have investigated tasks in a number of cognitive domains including problem-solving, language processing, visual and haptic imagery, and semantic categorization.

Representative Publications

Lee, D., Newman, S.D. (2010). The effect of presentation paradigm on syntactic processing: An event-related fMRI study. Hum. Brain Mapp., 31(1), 65-79.

Newman, S.D., Ikuta, T., Burns, T., Jr. (2010). The effect of semantic relatedness on syntactic analysis: An fMRI study. Brain Lang., 113(2), 51-58.

Newman, S.D., Greco, J.A., Lee, D. (2009). An fMRI study of the Tower of London: a look at problem structure differences. Brain Res., 1286, 123-132.

Newman, S.D., Ratliff, K., Muratore, T., Burns, T., Jr. (2009). The effect of lexical priming on sentence comprehension: an fMRI study. Brain Res., 1285, 99-108.

Newman, S.D., Lee, D., Ratliff, K.L. (2009). Off-line sentence processing: what is involved in answering a comprehension probe? Hum. Brain Mapp., 30(8), 2499-2511.

Newman, S.D., Lee, D., Bates, C.L. (2007). The timecourse of activation within the cortical network associated with visual imagery. Open Neuroimag. J., 1, 1-9.

Newman, S.D., Pittman, G. (2007). The Tower of London: a study of the effect of problem structure on planning. J. Clin. Exp. Neuropsychol., 29 (3), 333-342.

Newman, S. D. and Just, M. A.(2005). The neural bases of intelligence: a perspective based on functional neuroimaging. In (R. Sternberg, J. Davidson & J. Pretz, Eds.). Cognition and Intelligence, pp. 88-103, Cambridge University Press: London.

Mitchell, T. M., Hutchinson, R., Niculescu, R. S., Pereira, F., Wang, X., Just, M. and Newman, S. D. (2004). Learning to decode cognitive states from brain images. Machine Learning, 57(1-2): 145-175.

Just, M. A., Newman, S. D., Keller, T. A., McElaney, A., and Carpenter, P. A. (2004). Imagery in sentence comprehension: An fMRI study. NeuroImage, (pdf preprint).

Newman, S., D., Just, M. A., and Mason, R. A. (2003). Understanding text with the right side of the brain: what functional neuroimaging has to say. In (L.M.B. Tomitch & C. Rodrigues, Eds.) Ensaios sobre a linguagem e o cérebro humano: Contribuições multidisciplinares, pp. 71-84.

Newman, S. D., Carpenter, P. A., Varma, S., and Just, M. A. (2003). Frontal and parietal participation in problem-solving in the Tower of London: fMRI and computational modeling of planning and high-level perception. Neuropsychologia, 41(12): 1668-1682.

Newman, S. D., Just, M. A., Keller, T. A., Roth, J. K., and Carpenter, P. A. (2003). The differential effects of syntactic and semantic processing on the two subregions of Broca's area. Cognitive Brain Research, 16/2: 297-307.

Mitchell, T., Hutchinson, R., Just, M., Newman, S., Niculescu, R. S., Periera, F., and Wang, X. (2002). Machine Learning of fMRI Virtual Sensors of Cognitive States. The 16th Annual Conference on Neural Information Processing Systems, Computational Neuroimaging: Foundations, Concepts & Methods Workshop.

Newman, S. D., Just, M. A., and Carpenter, P. A. (2002). The synchronization of the human cortical working memory network. NeuroImage, 15: 810-822.