Personalizing neuromodulation.
Autor: Medaglia, John D.; Erickson, Brian; Zimmerman, Jared; Kelkar, Apoorva
Publication year: 2020
International journal of psychophysiology : official journal of the International Organization of Psychophysiology
issn:1872-7697 0167-8760
doi: 10.1016/j.ijpsycho.2019.01.002
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 individuals’ mental functions in health and disease are unclear. Multimodal analysis and modeling approaches can guide neuromodulation by combining anatomical networks, functional signal analysis, and cognitive neuroscience paradigms in single subjects. 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.
Language: eng
Rights: Copyright © 2019. Published by Elsevier B.V.
Pmid: 30685229
Tags: Humans; *Transcranial Magnetic Stimulation; *Cognition
Link: https://pubmed.ncbi.nlm.nih.gov/30685229/
