Abstract #0308

Track-weighted dynamic functional connectivity (TWdFC): a new method to study dynamic connectivity

Fernando Calamante^1,2, Robert Elton Smith¹, Xiaoyun Liang¹, Andrew Zalesky³, and Alan Connelly^1,2

¹The Florey Institute of Neuroscience and Mental Health, Melbourne, Australia, ²Florey Department of Neuroscience and Mental Health, The University of Melbourne, Melbourne, Australia, ³Melbourne Neuropsychiatry Centre and Melbourne School of Engineering, The University of Melbourne, Melbourne, Australia

There is great interest in the study of brain connectivity (structural and functional), and on the development of methods that facilitate these investigations. In functional connectivity (FC), there is also growing interest in characterising the dynamic changes (dynamic-FC, dFC). Track-weighted FC (TWFC) was proposed as a means to combine the structural and (static) functional information into a single image, by integrating a functional network with a diffusion MRI tractogram. Here we propose TW-dynamic-FC (TWdFC), by extending TWFC in two ways: first, it does not rely on an a-priori FC network; second, it allows studying dFC.

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