New Results
Decoding personalized motor cortical excitability states from human electroencephalography
Sara J Hussain, Romain Quentin
doi: https://doi.org/10.1101/2021.10.22.465447
Sara J Hussain
1Movement and Cognitive Rehabilitation Science Program, Department of Kinesiology and Health Education, University of Texas at Austin. Austin, TX, USA
Romain Quentin
2MEL group, EDUWELL team, Lyon Neuroscience Research Center (CRNL), INSERM U1028, CRNS UMR5292, Université Claude Bernard Lyon 1, Lyon, France
Posted March 07, 2022.
Decoding personalized motor cortical excitability states from human electroencephalography
Sara J Hussain, Romain Quentin
bioRxiv 2021.10.22.465447; doi: https://doi.org/10.1101/2021.10.22.465447
Subject Area
Subject Areas
- Biochemistry (11715)
- Bioengineering (8723)
- Bioinformatics (29128)
- Biophysics (14935)
- Cancer Biology (12049)
- Cell Biology (17359)
- Clinical Trials (138)
- Developmental Biology (9406)
- Ecology (14144)
- Epidemiology (2067)
- Evolutionary Biology (18268)
- Genetics (12221)
- Genomics (16767)
- Immunology (11843)
- Microbiology (28014)
- Molecular Biology (11560)
- Neuroscience (60810)
- Paleontology (450)
- Pathology (1864)
- Pharmacology and Toxicology (3231)
- Physiology (4940)
- Plant Biology (10384)
- Synthetic Biology (2878)
- Systems Biology (7333)
- Zoology (1642)