P.442 Predicting individual brain responsivity to escitalopram in healthy women using aperiodic component of resting-state electroencephalography as biomarker for excitatory-inhibitory balance

Rachel G. Zsido(Leipzig University of Applied Sciences), Julia Sacher(Max Planck Institute for Human Cognitive and Brain Sciences), Arno Villringer(Charité - Universitätsmedizin Berlin), Vadim V. Nikulin(Max Planck Institute for Human Cognitive and Brain Sciences), Ralf Regenthal(Leipzig University), Gergana Zheleva(Max Planck Institute for Human Cognitive and Brain Sciences), Eóin N. Molloy(Max Planck Institute for Human Cognitive and Brain Sciences)
European Neuropsychopharmacology
November 1, 2020
10.1016/j.euroneuro.2020.09.326
Cited by 1

Related Papers

Toward discovery science of human brain function
|Proceedings of the National Academy of Sciences|2010|3.1k
Precuneus shares intrinsic functional architecture in humans and monkeys
|Proceedings of the National Academy of Sciences|2009|988
Effect of Intravenous Thrombolysis on MRI Parameters and Functional Outcome in Acute Stroke <6 Hours
|Stroke|2002|325
Prediction of malignant middle cerebral artery infarction by magnetic resonance imaging within 6 hours of symptom onset: A prospective multicenter observational study
|Annals of Neurology|2010|248
Skin Conductance Responses and Neural Activations During Fear Conditioning and Extinction Recall Across Anxiety Disorders
|JAMA Psychiatry|2017|153