Publication date: Available online 24 January 2019
Source: International Journal of Psychophysiology
Author(s): John D. Medaglia, Brian Erickson, Jared Zimmerman, Apoorva Kelkar
Abstract
In the era of "big data", we are gaining rich person-specific information about neuroanatomy, neural function, and cognitive functions. However, the optimal ways to create precise approaches to optimize individual function in healthy and disease are unclear. Multimodal analysis and modeling approaches that combine anatomical networks, functional signals, and cognitive neuroscience in single subjects can guide neuromodulation. Our progress could be improved by progressing from statistical fits to mechanistic models. Using transcranial magnetic stimulation as an example, we discuss how integrating methods with a focus on mechanisms could improve our predictions TMS effects within individuals, refine our models of health and disease, and improve our treatments.
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