Readings:

Kim, J., Zhu, W., Chang, L., Bentler, P. M., & Ernst, T. (2007). Unified structural equation modeling approach for the analysis of multisubject, multivariate functional MRI data. Human Brain Mapping, 28(2), 85-93. PDF

Penny, W. D., Stephan, K. E., Mechelli, A., & Friston, K. J. (2004). Modelling functional integration: a comparison of structural equation and dynamic causal models. Neuroimage, 23 Suppl 1, S264-74. PDF

Readings:

Penny, W. D., Stephan, K. E., Mechelli, A., & Friston, K. J. (2004). Modelling functional integration: a comparison of structural equation and dynamic causal models. Neuroimage, 23 Suppl 1, S264-74. PDF

Additional links of potential interest:

David Kenny's page on Structural Equation Modeling
Ed Rigdon's SEM FAQs page.
Statistical Parametric Mapping (SPM5) page.

Readings:

Buckner, R., Andrews-Hanna, J.R., & Schacter, D.L. (2008). The Brain’s Default Network Anatomy, Function, and Relevance to Disease. Proceedngs of the New York Academy of Science, 1124, 1–38. PDF

Readings:

Logothetis, N. K. (2008). What we can do and what we cannot do with fMRI. Nature, 453(7197), 869-878. PDF.
Supplemental material.

Miller, G. (2008). Growing pains for fMRI. Science, 320, 1412-1414. PDF.

Just for Fun:

New Yorker article on itch mentioned by David Rosenbaum. PDF.

The book Carol Miller referred to is called Passage, by Connie Willis (Bantam Books, 2001). Carol says: "It describes a scientist's attempt to understand the basis of near-death experiences. Although, as I said, the supposed imaging technology isn't very plausible, if you can suspend your disbelief in that regard it's a very compelling story."

We'll continue our discussion of Logothetis 2008 and move on to a discussion of multimodal imaging techniques.

Readings:

Logothetis, N. K. (2008). What we can do and what we cannot do with fMRI. Nature, 453(7197), 869-878. PDF.

Laufs, H., Krakow, K., Sterzer, P., Eger, E., Beyerle, A., Salek-Haddadi, A., et al. (2003). Electroencephalographic signatures of attentional and cognitive default modes in spontaneous brain activity fluctuations at rest. Proceedings of the National Academy of Sciences, 100(19), 11053-11058. PDF.

We'll discuss the relatively new method of diffusion tensor imaging.

Reading:

Le Bihan, D. (2003). Looking into the functional architecture of the brain with diffusion MRI. Nature Reviews Neuroscience, 4(6), 469-480.PDF.

We'll read and discuss a paper examining gene variants that are associated with activity patterns in the brain's intrinsic reward circuitry and the influence these patterns have on the processing of emotion-laden faces.

Reading:

Perlis, R. H., Holt, D. J., Smoller, J. W., Blood, A. J., Lee, S., Kim, B. W., et al. (2008). Association of a polymorphism near CREB1 with differential aversion processing in the insula of healthy participants. Arch Gen Psychiatry, 65(8), 882-892. PDF.Appendices.

We'll read a paper by Gilmore's colleagues at Duke and Smith-Kettlewell showing how steady-state visual evoked potential data can be combined with structural and functional MRI to study processing networks for object perception.

Reading:

Appelbaum, L. G., Wade, A. R., Vildavski, V. Y., Pettet, M. W., & Norcia, A. M. (2006). Cue-invariant networks for figure and background processing in human visual cortex. J Neurosci, 26(45), 11695-11708. PDF. Supplemental Material.

(from Upadhyay et al., J. Neurosci, 2008)

We'll read a chapter describing a relatively new technique for inferring causal relations in neuroimaging data. Peter Molenaar will lead the discussion.

Reading:

Valdes-Sosa, P.A., Bornot-Sanchez, J.M., Vega-Hernandez, M., Melie-Garcia, L., Lage-Castellanos, A., & Canales-Rodriguez, E. (2006). Granger causality on spatial manifolds: Applications to neuroimaging. In Handbook of Time Series Analysis, B. Schelter, M. Winterhalds, J. Timmer (Eds.). Wiley. 461-491. PDF. Molenaar's Time Series Overheads.

Optional readings for more information:

Goebel, R., Roebroeck, A., Kim, D. S., & Formisano, E. (2003). Investigating directed cortical interactions in time-resolved fMRI data using vector autoregressive modeling and Granger causality mapping. Magn Reson Imaging, 21(10), 1251-1261. PDF.

Ramnani, N., Behrens, T. E., Penny, W., & Matthews, P. M. (2004). New approaches for exploring anatomical and functional connectivity in the human brain. Biol Psychiatry, 56(9), 613-619. PDF.

Upadhyay, J., Silver, A., Knaus, T. A., Lindgren, K. A., Ducros, M., Kim, D. S., et al. (2008). Effective and structural connectivity in the human auditory cortex. J Neurosci, 28(13), 3341-3349. PDF.

The Basics of MRI (web text).
Statistical Parametric Mapping (SPM).

We'll read two papers discussing morphological differences in the development of male and female brains. Sheri Berenbaum will help lead the discussion.

Readings:

Sowell, E. R., Peterson, B. S., Kan, E., Woods, R. P., Yoshii, J., Bansal, R., et al. (2007). Sex differences in cortical thickness mapped in 176 healthy individuals between 7 and 87 years of age. Cerebral Cortex, 17(7), 1550-1560. PDF.

Lenroot, R. K., Gogtay, N., Greenstein, D. K., Wells, E. M., Wallace, G. L., Clasen, L. S., et al. (2007). Sexual dimorphism of brain developmental trajectories during childhood and adolescence. Neuroimage, 36(4), 1065-1073. PDF.

Andreas Keil from the University of Florida will give a SCAN colloquium on Thursday, October 30, 2008 at 1:00 pm in 453 Moore. We will read some of his papers in preparation for Dr. Keil's visit.

Readings:

TBA.