Abstract #1655

Brain cortical parcellation based on the anisotropy of local spatio-temporal correlation of rs-fMRI at 7T

Afonso Dias¹, Marta Bianciardi², Sandro Daniel Nunes¹, Luís M. Silveira³, Lawrence L. Wald², and Patrícia Figueiredo¹

¹ISR-Lisboa/LARSyS and Department of Bioengineering, Instituto Superior Técnico – Universidade de Lisboa, Lisbon, Portugal, ²Department of Radiology, A.A. Martinos Center for Biomedical Imaging, MGH and Harvard Medical School, Boston, MA, United States, ³INESC-ID, Instituto Superior Técnico – Universidade de Lisboa, Lisbon, Portugal

We propose a new metric of local functional connectivity for the parcellation of the cerebral cortex from resting-state fMRI data. It is based on the hypothesis that the anisotropy of the local spatio-temporal correlation tensor of the BOLD signal is increased in the boundaries between regions of functional segregation within gray matter. We show that the anisotropy of rs-fMRI at 7T can be used to generate cortical parcellations that are partially consistent with the results obtained using the well-established stability map. Further work is needed to investigate the validity and properties of the parcellations based on the proposed metric.

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