Machine learning-optimized non-invasive brain stimulation and treatment response classification for major depression is a research paper published in Bioelectronic Medicine (2024). On theSindex it has a DataRank of 0. It has been cited 10 times.
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Directorate for STEM Education
Grant: 1842173
Fundação de Amparo à Pesquisa do Estado da Bahia
Grant: 2012/20911-5
National Institute on Aging
Grant: RF1AG071469
National Institutes of Health
Grant: 1RF1AG071469-01
Mechanisms, response heterogeneity and dosing from MRI-derived electric field models in tDCS augmented cognitive training: a secondary data analysis of the ACT study
National Science Foundation
Grant: 1842473
Graduate Research Fellowship Program (GRFP)
FWCI
1.78
Citation Percentile
0.9%
Influential Citations
1
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals
Additional file 1 of Machine learning-optimized non-invasive brain stimulation and treatment response classification for major depression
Additional file 1 of Machine learning-optimized non-invasive brain stimulation and treatment response classification for major depression