Life Sciences & Biomedicine Neurosciences Neurosciences & Neurology Physiology Psychology Psychology, Biological Psychology, Experimental Science & Technology Social Sciences
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.
John D. Medaglia - Drexel Univ, Dept Psychol, Philadelphia, PA 19104 USA
Brian Erickson - Drexel University
Jared Zimmerman - Univ Penn, Dept Neurol, Perelman Sch Med, Philadelphia, PA 19104 USA
Apoorva Kelkar - Drexel University
Publication Details
International journal of psychophysiology, v 154
Publisher
Elsevier
Number of pages
10
Grant note
DP5-OD-021352-01; R01-DC014960-01 / Office of the Director at the National Institutes of Health
Perelman School of Medicine
DP5OD021352 / OFFICE OF THE DIRECTOR, NATIONAL INSTITUTES OF HEALTH; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA
DP5-OD-021352-01; R01-DC014960-01 / National Institute of Mental Health; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of Mental Health (NIMH)
R01DC014960 / NATIONAL INSTITUTE ON DEAFNESS AND OTHER COMMUNICATION DISORDERS; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute on Deafness & Other Communication Disorders (NIDCD)
Resource Type
Journal article
Language
English
Academic Unit
Psychological and Brain Sciences (Psychology)
Web of Science ID
WOS:000540674600012
Scopus ID
2-s2.0-85062803637
Other Identifier
991019168034704721
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