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Abstract #2146

Immediate changes in graph metrics following MRgFUS  - an investigation using state-of-the-art diffusion image analysis

Arkiev D'Souza1, Fernando Calamante 1,2,3, Kain Kyle1,4, Stephen Tisch5, Ben Jonker5, Yael Barnett5, Joel Maamary5, Jerome Maller6, Justin Garber1, Michael Barnett1,4,7, and Chenyu Wang1,4
1Brain and Mind Centre, The University of Sydney, Camperdown, Australia, 2Sydney Imaging, The University of Sydney, Camperdown, Australia, 3School of Biomedical Engineering, The University of Sydney, Camperdown, Australia, 4Sydney Neuroimaging Analysis Centre, Camperdown, Australia, 5St Vincent's Hospital Sydney, Sydney, Australia, 6GE Healthcare Australia, Melbourne, Australia, 7Department of Neurology, Royal Prince Alfred Hospital, Camperdown, Australia


MRgFUS (Magnetic Resonance guided focused ultrasound) is an emerging treatment for tremor. The neuroadaptations that accompany desirable clinical outcomes following treatment are not well understood. Diffusion imaging can non-invasively quantify the structural connectivity between brain regions and may help explain tremor suppression mechanisms. Here, advanced diffusion analysis techniques were used to construct structural connectomes before and immediately after MRgFUS treatment in 27 patients with tremor. Graph theory metrics were measured on baseline and follow-up connectomes and differences between sessions were investigated using paired t-tests. Network density, characteristic path length, global efficiency, degree and strength changed following surgery (p<0.05).

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