Abstract
Discovering the means to prevent and cure schizophrenia is a vision that motivates many scientists. But in order to achieve this goal, we need to understand its neurobiological basis. The emergent metadiscipline of cognitive neuroscience fields an impressive array of tools that can be marshaled towards achieving this goal, including powerful new methods of imaging the brain (both structural and functional) as well as assessments of perceptual and cognitive capacities based on psychophysical procedures, experimental tasks and models developed by cognitive science. We believe that the integration of data from this array of tools offers the greatest possibilities and potential for advancing understanding of the neural basis of not only normal cognition but also the cognitive impairments that are fundamental to schizophrenia. Since sufficient expertise in the application of these tools and methods rarely reside in a single individual, or even a single laboratory, collaboration is a key element in this endeavor. Here, we review some of the products of our integrative efforts in collaboration with our colleagues on the East Coast of Australia and Pacific Rim. This research focuses on the neural basis of executive function deficits and impairments in early auditory processing in patients using various combinations of performance indices (from perceptual and cognitive paradigms), ERPs, fMRI and sMRI. In each case, integration of two or more sources of information provides more information than any one source alone by revealing new insights into structure-function relationships. Furthermore, the addition of other imaging methodologies (such as DTI) and approaches (such as computational models of cognition) offers new horizons in human brain imaging research and in understanding human behavior.
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Or infamous depending upon your views on the role of emissions from coal fired power generators on climate change!
References
Aron, A. R., & Poldrack, R. A. (2006). Cortical and subcortical contributions to stop signal response inhibition: role of the subthalamic nucleus. The Journal of Neuroscience, 26, 2424–2433. doi:10.1523/JNEUROSCI.4682-05.2006.
Badcock, J. C., Michie, P. T., Johnson, L., & Combrinck, J. (2002). Acts of control in schizophrenia: dissociating components of inhibition. Psychological Medicine, 32, 287–297.
Budd, T. W., Hall, D. A., Goncalves, M. S., Akeroyd, M. A., Foster, J. R., Palmer, A. R., et al. (2003). Binaural specialisation in human auditory cortex: an fMRI investigation of interaural correlation sensitivity. NeuroImage, 20, 1783–1794. doi:10.1016/j.neuroimage.2003.07.026.
Heinrichs, R. W. (2004). Meta-analysis and the science of schizophrenia: variant evidence or evidence of variants? Neuroscience and Biobehavioral Reviews, 28, 379–394. doi:10.1016/j.neubiorev.2004.06.003.
Karayanidis, F., Coltheart, M., Michie, P. T., & Murphy, K. (2003). Electrophysiological correlates of anticipatory and post-stimulus components of task switching. Psychophysiology, 40, 329–348. doi:10.1111/1469-8986.00037.
Karayanidis, F., Nicholson, R., Meem, L., Schall, U., Fulham, R., & Michie, P. T. (2006). Switching between univalent task-sets in schizophrenia: ERP evidence of an anticipatory task-set reconfiguration deficit. Clinical Neurophysiology, 117, 2172–2190. doi:10.1016/j.clinph.2006.06.716.
Matthews, N., Todd, J., Budd, T. W., Cooper, G., & Michie, P. T. (2007). Auditory lateralization in schizophrenia: mismatch negativity and behavioral evdience of a selective impairment in encoding interaural time cues. Clinical Neurophysiology, 118, 833–844. doi:10.1016/j.clinph.2006.11.017.
Morosan, P., Rademacher, J., Schleicher, A., Amunts, K., Schormann, T., & Zilles, K. (2001). Human primary auditory cortex: cytoarchitectonic subdivisions and mapping into a spatial reference system. NeuroImage, 13, 684–701. doi:10.1006/nimg.2000.0715.
Näätänen, R., Tervaniemi, M., Sussman, E., Paavilainen, P., & Winkler, I. (2001). “Primitive intelligence” in the auditory cortex. Trends in Neurosciences, 24, 283–288. doi:10.1016/S0166-2236(00)01790-2.
Rasser, P. E., Johnston, P., Lagopoulos, J., Ward, P. B., Schall, U., Thienel, R., et al. (2005). Functional MRI BOLD response to Tower of London performance of first-episode schizophrenia patients using cortical pattern matching. NeuroImage, 26, 941–951. doi:10.1016/j.neuroimage.2004.11.054.
Schall, U., Johnston, P., Todd, J., Ward, P. B., & Michie, P. T. (2003). Functional neuroanatomy of auditory mismatch processing: an event-related fMRI study of duration-deviant oddballs. NeuroImage, 20, 729–736. doi:10.1016/S1053-8119(03)00398-7.
Thompson, P. M., Hayashi, K. M., Sowell, E. R., Gogtay, N., Giedd, J. N., Rapoport, J. L., et al. (2004). Mapping cortical change in Alzheimer's disease, brain development, and schizophrenia, special issue on mathematics in brain imaging. In P. M.Thompson, M. I. Miller, J. T. Ratnanather, R. Poldrack, & T. E. Nichols (Eds.), Neuroimage, 23(Suppl 1), S2–S18.
Todd, J., Michie, P. T., & Jablensky, A. V. (2003). Association between reduced duration mismatch negativity (MMN) and raised temporal discrimination thresholds in schizophrenia. Clinical Neurophysiology, 114, 2061–2070. doi:10.1016/S1388-2457(03)00246-3.
Todd, J., Michie, P. T., Schall, U., Karayanidis, F., Yabe, H., & Naatanen, R. (2008). Deviant matters: duration, frequency and intensity deviants reveal different patterns of mismatch negativity reduction in early and late schizophrenia. Biological Psychiatry, 63, 58–64. doi:10.1016/j.biopsych.2007.02.016.
Umbricht, D., & Krljes, S. (2005). Mismatch negativity in schizophrenia: a meta-analysis. Schizophrenia Research, 76, 1–23. doi:10.1016/j.schres.2004.12.002.
Acknowledgements
The research reported has been supported by National Health and Medical Research (NHMRC) project grants (#s 209828, 252480, 300734, 351160), and a NHMRC Enabling grant (#386500). P. Johnston is supported by a NHMRC Training Fellowship (#386501), J. Todd by a University of Newcastle Postdoctoral Fellowship, P. Rasser by the Schizophrenia Research Institute (SRI), and R. Fulham by the University of Newcastle Centre for Brain and Mental Health Research. M. Hughes holds a SRI Postgraduate Award, S. Jamadar and N. Matthews hold Australian Postgraduate Awards and received stipend top-support from SRI. Financial and infrastructure support was also provided by the Hunter Medical Research Institute, Brain and Mental Health Program, and the University of Newcastle Research Grants Committee. We also wish to acknowledge the contributions of Vanessa Case who assisted in patient recruitment, Gavin Cooper, Steve Hudson and Gary O'Connor for technical support, Amy Richards for data collection, Thai Vinh Nguyen for Virtual Brain Bank database development, and Natalia Bilton, Kathleen Khoo, Kathrine Gjermundsen, Raymond Inkpen, Jossie Miller, Greg Peck, Arnstein Soyland, Torgrim Soyland, Piraneetha Thiruthaneeswaran and Frida Tradefelt for structural analysis.
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Michie, P.T., Budd, T.W., Fulham, W.R. et al. The Potential for New Understandings of Normal and Abnormal Cognition by Integration of Neuroimaging and Behavioral Data: Not an Exercise in Carrying Coals to Newcastle. Brain Imaging and Behavior 2, 318–326 (2008). https://doi.org/10.1007/s11682-008-9037-0
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DOI: https://doi.org/10.1007/s11682-008-9037-0