Mark J. Lowe1, Ken E. Sakaie1, Katherine Koenig1, Lael Stone2, Robert A. Bermel3, Micheal D. Phillips1
1Imaging Institute, Cleveland Clinic, Cleveland, OH, United States; 2Neurologic Institute, Cleveland Clinic, Cleveland, OH, United States; 3Neurologic Institute, The Cleveland Clinic, Cleveland, OH, United States
There are several diffusion and fiber tracking-related measures that are used as metrics of functional connectivity. Many of these depend on the tracking algorithm. This makes it difficult to compare different studies. We propose a very simple tensor-based measure as a robust metric of anatomic connectivity that can easily be combined with different tracking algorithms and results in a metric that can be compared across studies.