Abstract #0052
Connectivity based segmentation of the periaqueductal grey matter in humans with diffusion tensor imaging
Martyn Ezra 1 , Olivia Kate Faull 1 , Saad Jbabdi 2 , and Kyle Thomas Shane Pattinson 1
1
Nuffield Department of Clinical
Neuroscience, University of Oxford, Oxford, Oxfordshire,
United Kingdom,
2
Oxford
Centre for Functional Magnetic Resonance Imaging of the
Brain, University of Oxford, Oxford, Oxfordshire, United
Kingdom
The periaqueductal gray matter (PAG) is involved in a
number of key neurobiological functions. Animal research
has identified four sub-divisional columns that differ
in both connectivity and function. This study used
high-resolution diffusion tensor imaging and
probabilistic tractography to segment the human PAG
based upon voxel connectivity profiles. While we
identified four distinct subdivisions demonstrating
spatial concordance with the columns of the animal
model, the connectivity profiles of these subdivisions
were different to those in animals. This is the first
study to resolve subdivisions within the human PAG, and
may aid stereotactic interventions and interpretation of
functional imaging studies.
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