Abstract #2713

fMRI signal characteristics underlying human white-matter functional connectivity

Nayana Menon¹, Jonathan Polimeni², and J. Jean Chen^1,3,4

¹Rotman Research Institute, Baycrest Health Sciences, Toronto, ON, Canada, ²Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Harvard Medical School, Massachusetts General Hospital, Boston, MA, United States, ³Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada, ⁴Department of Biomedical Engineering, University of Toronto, Toronto, ON, Canada

Synopsis

Keywords: Data Analysis, White Matter, fMRI, functional connectivity, Fourier analysis, Human Connectome ProjectIn this study, we illustrate the BOLD fMRI signal characteristics underlying functional correlations in the white matter of healthy adults. We use a group-level white-matter only Pearson’s correlation matrix to identify several high-connectivity regions of interest. Our results show that the BOLD signal spectra of connected white-matter regions contain a low-frequency peak unseen in unconnected regions.

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