scholarly journals Higuchi Fractal Dimension of Heart Rate Variability During Percutaneous Auricular Vagus Nerve Stimulation in Healthy and Diabetic Subjects

2018 ◽  
Vol 9 ◽  
Author(s):  
Ryszard S. Gomolka ◽  
Stefan Kampusch ◽  
Eugenijus Kaniusas ◽  
Florian Thürk ◽  
Jozsef C. Széles ◽  
...  

2014 ◽  
Vol 7 (6) ◽  
pp. 914-916 ◽  
Author(s):  
Didier Clarençon ◽  
Sonia Pellissier ◽  
Valérie Sinniger ◽  
Astrid Kibleur ◽  
Dominique Hoffman ◽  
...  


Seizure ◽  
2008 ◽  
Vol 17 (5) ◽  
pp. 469-472 ◽  
Author(s):  
Stephan A. Koenig ◽  
Elke Longin ◽  
Nellie Bell ◽  
Julia Reinhard ◽  
Thorsten Gerstner


2021 ◽  
Vol 236 ◽  
pp. 102894
Author(s):  
Kathrin Machetanz ◽  
Levan Berelidze ◽  
Robert Guggenberger ◽  
Alireza Gharabaghi


Author(s):  
Jozsef Constantin Széles ◽  
Stefan Kampusch ◽  
Florian Thürk ◽  
Christian Clodi ◽  
Norbert Thomas ◽  
...  


Author(s):  
Vinzent Wolf ◽  
Anne Kühnel ◽  
Vanessa Teckentrup ◽  
Julian Koenig ◽  
Nils B. Kroemer

AbstractNon-invasive brain stimulation techniques, such as transcutaneous auricular vagus nerve stimulation (taVNS), have considerable potential for clinical use. Beneficial effects of taVNS have been demonstrated on symptoms in patients with mental or neurological disorders as well as transdiagnostic dimensions, including mood and motivation. However, since taVNS research is still an emerging field, the underlying neurophysiological processes are not yet fully understood, and the replicability of findings on biomarkers of taVNS effects has been questioned. Here, we perform a living Bayesian random effects meta-analysis to synthesize the current evidence concerning the effects of taVNS on heart rate variability (HRV), a candidate biomarker that has, so far, received most attention in the field. To keep the synthesis of evidence transparent and up to date as new studies are being published, we developed a Shiny web app that regularly incorporates new results and enables users to modify study selection criteria to evaluate the robustness of the inference across potential confounds. Our analysis focuses on 17 single-blind studies comparing taVNS versus sham in healthy participants. These newly synthesized results provide strong evidence for the null hypothesis (g = 0.011, CIshortest = [−0.103, 0.125], BF01 = 25.587), indicating that acute taVNS does not alter HRV compared to sham. To conclude, based on a synthesis of the available evidence to date, there is no support for the hypothesis that HRV is a robust biomarker for acute taVNS. By increasing transparency and timeliness, we believe that the concept of living meta-analyses can lead to transformational benefits in emerging fields such as non-invasive brain stimulation.





2017 ◽  
Vol 203 ◽  
pp. 88-96 ◽  
Author(s):  
M. De Couck ◽  
R. Cserjesi ◽  
R. Caers ◽  
W.P. Zijlstra ◽  
D. Widjaja ◽  
...  


2021 ◽  
Vol 123 ◽  
pp. 108247
Author(s):  
Mao-Lin Wu ◽  
Dan-Mei Hu ◽  
Jun-Jie Wang ◽  
Xiao-Lei Liu ◽  
Lei Liu ◽  
...  


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