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Publication Detail
An unsupervised group average cortical parcellation using HARDI data
  • Publication Type:
  • Authors:
    Ganepola T, Nagy Z, Alexander D, Sereno M
  • Publication date:
  • Published proceedings:
    An unsupervised group average cortical parcellation using HARDI data
  • Volume:
    Poster presented at the 21st Annual Meeting of the Organization for Human Brain Mapping, Honolulu, H
  • Name of conference:
    Organisation for Human Brain Mapping
  • Conference place:
    Honolulu, HI, US
  • Conference start date:
  • Conference finish date:
  • Keywords:
    MRI, Neuroimaging, Cortex, Parcellation, Segmentation
  • Addresses:
    Tara Ganepola
    University College London
    Cognitive, Perceptual and Brain Sciences
    26 Bedford Way
    WC1H 0DS
    United Kingdom
Cortical parcellations provide valuable localisation tools for other modalities such as fMRI as well as information regarding the relationship between the structure and function of the brain. Traditional approaches such as the Brodmann map [1] are limited to single subject data and do not account for intersubject variability[2], thus an in­vivo solution to this problem is desirable. Diffusion MRI (dMRI) is primarily used to investigate white matter structures in the brain, however, recent studies have demonstrated that diffusion anisotropy is present and varies heterogeneously between different cortical grey matter (GM) regions [1,4,6,7]. In particular [7] demonstrated the discriminative power of a feature set derived from high angular resolution diffusion imaging (HARDI) data by testing on distinct fMRI based regions of interest (ROI) on single subjects. This work expands on these findings, using HARDI data of multiple subjects to produce an entirely unsupervised, hemisphere­ wide, group average parcellation in which anatomically meaningful clusters are present.
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