Predicting the Network Effects of Focal Brain Lesions (S52.001)

CONCLUSIONS: Lesion-based network analysis links lesions to clinical symptoms in a way not possible with traditional lesion analysis and is likely to find broad application in elucidating brain-behavior relationships. Study Supported by: NIH/NINDS R25 grant 5R25NS065743-05Disclosure: Dr. Boes has nothing to disclose. Dr. Fischer has nothing to disclose. Dr. Ayache has nothing to disclose. Dr. Geerling has nothing to disclose. Dr. Prasad has nothing to disclose. Dr. Liu has nothing to disclose. Dr. Liu has nothing to disclose. Dr. Edlow has nothing to disclose. Dr. Caviness has nothing to disclose. Dr. Lefaucheur has nothing to disclose. Dr. Pascual-Leone has received personal compensation for activities with Nexstim, Neuronix, Starlab Neuroscience, Neuroelectrics, Neosync, and Novavision. Dr. Fox has nothing to disclose.

Source: Neurology - April 8, 2015 Category: Neurology Authors: Boes, A., Fischer, D., Ayache, S., Geerling, J., Prasad, S., Liu, H., Liu, Q., Edlow, B., Caviness, V., Lefaucheur, J.-P., Pascual-Leone, A., Fox, M. Tags: General Neurology: Neural Networks and Neuromodulation Source Type: research