Cognitive Neuroscience Ph.D. Program  

  FACULTY




Charles E. Schroeder

Professor

B.A., Ohio State University, Columbus, Ohio; MA, University of North Carolina, Greensboro, Ph.D.

The Nathan Kline Institute
140 Old Orangeburg Road
Orangeburg, NY 10962
Office Phone: 845-398-6539
Email:
schrod@nki.rfmh.org




Research Interests:
Neuromechanism of sensory and cognitive processes.

My research program aims to define the neural circuits, cellular processes and temporal dynamics of sensory perception and other cognitive processes such as attention, discrimination and learning. The work requires integration of monkey and human studies and is made possible by recent advances in electrode, computing and brain imaging technologies. The work also requires a constant exchange between empirical and computational/ modeling investigations. The results of the monkey and human studies are directly interrelated by using the same (noninvasive) neural measurements and focusing on the same brain operations. Monkeys are then studied further using more invasive techniques in order to directly define the neural mechanisms. Invasive techniques include single cell and cell ensemble electrophysiology, often with pharmacologic manipulations, and using both acutely and chronically positioned multielectrode arrays. Noninvasive techniques include Event Related Potential (ERP) recording, along with both anatomical and functional Magnetic Resonance Imaging (MRI and fMRI, respectively).

Currently Funded Projects Include:
1) Visual processing and selective attention. (MH60358)
2) Multisensory (visual/auditory/somatosensory) integration. (MH61989)
3) Neuronal connection patterns underlying multisensory convergence. (TW05674)
4) Studies of the neural bases of fMRI signals in monkeys (see data illustration). (MH67560)

Selected Publications

Mehta, A.D. and Schroeder, C.E. Intermodal selective attention in monkeys I: Distribution and timing of effects across visual areas. Cerebral Cortex. 10(4): 343-58 2000.

Mehta, A.D., Ulbert, I and Schroeder, C.E. Intermodal selective attention in monkeys II: Physiologic mechanisms of modulation. Cerebral Cortex. 10(4): 359-70 2000.

Lisanby, S.H., Luber, B., Sacheim, H.S., Finck, A.D. and Schroeder, C.E. Deliberate seizure induction with repetitive transcranial stimulation in nonhuman primates. Arch Gen Psychiatry, 58(2): 199-200, 2001.

Foxe, J.J., Morocz, I.A., Higgins, B.A., Murray, M.M., Javitt, D.C., and Schroeder, C.E. Multisensory auditory-somatosensory interactions in early cortical processing revealed by high-density electrical mapping. Cognitive Brain Research. 10(1-2): 77-83, 2000.

Schroeder, C.E., Lindsley, R.L., Specht, C., Feldmann, R., Marcovici, A. and Javitt, D.C. Somatosensory input to auditory association cortex in macaque monkeys: An anatomic basis for somato-auditory integration. J. Neurophysiol. 85(3): 1322-7, 2001.

Murray, M.M., Foxe, J.J., Higgins, B.A., Javitt, D.C. and Schroeder, C.E. Visuo-spatial neural response interactions in early cortical processing during a simple reaction time task: A high-density electrical mapping study. Neuropsychologia 39(8) 828-44, 2001.

Schroeder, C.E., Mehta, A.D., Foxe, J.J. Determinants and mechanisms of attentional modulation of neural processing. Frontiers Biosci.6: 672-84 2001.

Saron, C.D., Schroeder, C.E., Foxe, J.J., Vaughan, H.G. Jr. Visual activation of frontal cortex: segregation from occipital activity. Cognitive Brain Research. 12(1): 75-88, 2001.

Butler, P., Schechter, I., Zemon, V., Schwartz S.G., Greenstein, V.C., Gordon, J., Schroeder, C.E., Javitt, D.C. Dysfunction of early-stage visual processing in schizophrenia. American Journal of Psychiatry. 158(7): 1126-33, 2001.

Fu, K.M., Foxe, J.J., Higgins, B.A., Murray, M.M., Javitt, D.C. and Schroeder, C.E. Shifts of intermodal selective attention produced by endogenous auditory cues. J. Cogn. Neuro 12: 145-152, 2001.

Schroeder, C.E. and Foxe, J.J. The timing and laminar profile of converging inputs to multisensory areas of the macaque neocortex. Cognitive Brain Res. 14(1): 187-98, 2002.

Murray M.M., Wylie G.R, Higgins B.A., Javitt D.C., Schroeder C.E. and Foxe J.J. The spatio-temporal dynamics of illusory contour processing: combined high-density electrical mapping, source analysis, and functional magnetic resonance imaging. Journal of Neuroscience. 22(12):5055-73, 2002.

Foxe, J.J., Wylie, G.R., Martinez, A.G., Schroeder, C.E., Javitt, D.C., Guilfoyle, D., Murray, M.M. Auditory-Somatosensory Multisensory Processing in Auditory Association Cortex: An fMRI Study. Journal of Neurophysiology. 88(1): 540-3, 2002.

Molholm S, Ritter W., Murray M.M., Javitt D.C., Schroeder C.E. and Foxe J.J. Multisensory auditory-visual interactions during early sensory processing in humans: A high-density electrical mapping study. Cognitive Brain Research. 14(1):115-28, 2002.

Foxe, J.J., Wylie, G.A., Martinez, A., Schroeder, C.E., Guilfoyle, D., Ritter, W., and Murray, M.M. Auditory-somatosensory multisensory processing in auditory cortex: and fMRI study. J. Neurophysiol. 88(1), 540-543 2002.

Fu, K.G., Shah, A.S, Arnold, L., Garraghty, P.E., Smiley, J., Hackett, T.A., and Schroeder, C.E. Auditory cortical neurons respond to somatosensory stimulation. J. Neurosci., 23(20): 7510-7515, 2003.

Shah, A., Knuth, K.H., Bressler, S., Ding, M., Trucculo, W. and Schroeder, C.E. . "A bayesian approach to estimating coupling between neural components: Evaluation of the multiple component event related potential (mcERP) algorithm." Maximum Entropy and Bayesian Methods, Idaho 2002, edited by R.L. Fry and M. Bierbaum, Melville, NY: American Institute of Physics, 2003.

Schroeder, C.E., Smiley, J., Fu, K.G. O'Connell, M.N., McGinnis, T. and Hackett, T.A. Anatomical mechanisms and functional implications of multisensory convergence in early cortical processing. Int. J. Psychophysiol. 50, 5-17, 2003.

Shah, A.S., Bressler, S.L., Knuth, K.H., Ding, M., Mehta, A.D., Ulbert, I. and Schroeder, C.E. Neural dynamics and the fundamental mechanisms of event-related brain potentials. Cerebral Cortex, (in press)

Shah, A.S., Knuth, K.H., Lakatos, P., and Schroeder, C.E. Application of differentially variable component analysis (dVCA) to dynamic brain activity patterns. Maximum Entropy and Bayesian Methods, Idaho 2003, (in press)


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