Challenging the Diagnostic Value of Theta/Beta Ratio: Insights From an EEG Subtyping Meta-Analytical Approach in ADHD
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10484-024-09649-y.pdf
Reference55 articles.
1. Arns, M., Gunkelman, J., Breteler, M., & Spronk, D. (2008). EEG Phenotypes predict treatment outcome to stimulants in children with ADHD. Journal of Integrative Neuroscience, 07(03), 421–438. https://doi.org/10.1142/s0219635208001897
2. Arns, M., Drinkenburg, W., & Kenemans, J. L. (2012). The Effects of QEEG-Informed Neurofeedback in ADHD: An Open-Label Pilot Study. Applied Psychophysiology and Biofeedback, 37(3), 171–180. https://doi.org/10.1007/s10484-012-9191-4
3. Arns, M., Conners, C. K., & Kraemer, H. C. (2013). A Decade of EEG Theta/Beta Ratio Research in ADHD. Journal of Attention Disorders, 17(5), 374–383. https://doi.org/10.1177/1087054712460087
4. Arns, M., Loo, S. K., Sterman, M. B., Heinrich, H., Kuntsi, J., Asherson, P., et al. (2016). Editorial Perspective: How should child psychologists and psychiatrists interpret FDA device approval? Caveat emptor. Journal of Child Psychology and Psychiatry, 57(5), 656–658. https://doi.org/10.1111/jcpp.12524
5. Arns, M., Vollebregt, M. A., Palmer, D., Spooner, C., Gordon, E., Kohn, M., et al. (2018). Electroencephalographic biomarkers as predictors of methylphenidate response in attention-deficit/hyperactivity disorder. European Neuropsychopharmacology, 28(8), 881–891. https://doi.org/10.1016/j.euroneuro.2018.06.002
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