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Abstract #0010

A Demonstration of Neural Plasticity in Resting Brain Network

Kuang-Chi Tung1, Jinsoo Uh1, Hanzhang Lu1

1Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, United States

We hypothesized that an important feature of the evoked activity, the plasticity of the neural response, may also be present in the resting condition and may provide critical information for understanding the nature and significance of the resting state brain activity. Using motor cortex as a model, we demonstrated for the first time that the resting brain activity can be altered after repetitive stimulation of the associated brain networks. This method may provide a new approach to study brain plasticity in humans and may find applications in studies of aging and neurodegenerative diseases.