1. Directed Connectivity Analysis of the Neuro-Cardio- and Respiratory Systems Reveals Novel Biomarkers of Susceptibility to SUDEP
- Author
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Farnaz Rezaei, Leonidas D. Iasemidis, Nicole M. Gautier, Edward Glasscock, T. Noah Hutson, and Jagadeeswaran Indumathy
- Subjects
medicine.medical_specialty ,lcsh:Medical technology ,SUDEP ,Biomedical Engineering ,Electroencephalography ,lcsh:Computer applications to medicine. Medical informatics ,Unexpected death ,Article ,Functional Network Connectivity ,Epilepsy ,Animal model ,Afferent ,Internal medicine ,medicine ,Plethysmograph ,Brain-Heart-Lungs ,Respiratory system ,Seizure activity ,medicine.diagnostic_test ,business.industry ,medicine.disease ,Dynamics and Biomarkers ,lcsh:R855-855.5 ,Cardiology ,lcsh:R858-859.7 ,business - Abstract
Sudden unexpected death in epilepsy (SUDEP) is the leading cause of epilepsy-related mortality and its pathophysiological mechanisms remain unknown. Goal: We set to record and analyze for the first time concurrent electroencephalographic (EEG), electrocardiographic (ECG), and unrestrained whole-body plethysmographic (Pleth) signals from control (WT - wild type) and SUDEP-prone mice (KO- knockout Kcna1 animal model). Methods: Employing multivariate autoregressive models (MVAR) we measured all tri-organ effective directional interactions by the generalized partial directed coherence (GPDC) in the frequency domain over time (hours). Results: When compared to the control (WT) animals, the SUDEP-prone (KO) animals exhibited (p 90 Hz) frequencies (especially during periods with seizure activity), and decreased feedback from the lungs to the brain at low (
- Published
- 2020
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