Feasibility of identifying the ideal locations for motor intention decoding using unimodal and multimodal classification at 7T-fMRI

Peter E Yoo; Thomas J Oxley; Sam E John; Nicholas L Opie; Roger J Ordidge; Terence J O'Brien; Maureen A Hagan; Yan T Wong; Bradford A Moffat

Journal article

Feasibility of identifying the ideal locations for motor intention decoding using unimodal and multimodal classification at 7T-fMRI

Peter E Yoo, Thomas J Oxley, Sam E John, Nicholas L Opie, Roger J Ordidge, Terence J O'Brien, Maureen A Hagan, Yan T Wong, Bradford A Moffat

Scientific Reports | NATURE PUBLISHING GROUP | Published : 2018

DOI: 10.1038/s41598-018-33839-4

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University of Melbourne Researchers

Nicholas Opie Author Medicine - Royal Melbourne Hospital

Thomas Oxley Author Medicine - Royal Melbourne Hospital

Sam John Author Biomedical Engineering

Terry O'Brien Author Medicine and Radiology

Bradford Moffat Author Radiology

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Grants

Awarded by US Defense Advanced Research Projects Agency (DARPA) Microsystems Technology Office

Awarded by National Health and Medical Research Council of Australia (NHMRC)

Funding Acknowledgements

The research was supported by US Defense Advanced Research Projects Agency (DARPA) Microsystems Technology Office contract N66001-12-1-4045; National Health and Medical Research Council of Australia (NHMRC) Project Grant APP1062532. P.E.Y. acknowledges the Faculty of Medicine, University of Melbourne for the Leslie Eric Paddle Scholarship in Neurology and the Melbourne Neuroscience Institute for the Strategic Australian Postgraduate Award. We acknowledge the facilities, and the scientific and technical assistance of the Australian National Imaging Facility at the Melbourne Brain Centre Imaging Unit.