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 Kyle^1,4, Stephen Tisch⁵, Ben Jonker⁵, Yael Barnett⁵, Joel Maamary⁵, Jerome Maller⁶, Justin Garber¹, Michael Barnett^1,4,7, and Chenyu Wang^1,4

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

Synopsis

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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