Julia Hartkopf ● Julia Moser ● Franziska Schleger ● Hubert Preissl and Jana Keune Abstract Objective: This systematic review highlights the influence of developmental changes of the central nervous system on habituation assessment during child … Continue reading Changes in event-related brain responses and habituation during child development – A systematic literature review
EMBC 2019
From July 23rd to 27th Julia Moser and Katrin Sippel attended the 41st Engineering in Medicine and Biology Conference in Berlin, Germany. Katrin Sippel presented her work on “Fully automated Subtraction of Heart Activity for … Continue reading EMBC 2019
Functional Connectivity Within the Gustatory Network Is Altered by Fat Content and Oral Fat Sensitivity – A Pilot Study
Sabine Frank-Podlech ● Jaana M. Heinze ● Jürgen Machann ● Klaus Scheffler ● Guido Camps ● Andreas Fritsche ● Melanie Rosenberger ● Jörg Hinrichs ● Ralf Veit and Hubert Preiss Abstract Background: The amount of … Continue reading Functional Connectivity Within the Gustatory Network Is Altered by Fat Content and Oral Fat Sensitivity – A Pilot Study
Health, pleasure, and fullness: changing mindset affects brain responses and portion size selection in adults with overweight and obesity
Ralf Veit ● Lisa I. Horstman ● Maike A. Hege ● Martin Heni ● Peter J. Rogers ● Jeffrey M. Brunstrom ● Andreas Fritsche ● Hubert Preissl ● Stephanie Kullmann Abstract Background Increased portion size … Continue reading Health, pleasure, and fullness: changing mindset affects brain responses and portion size selection in adults with overweight and obesity
Evaluating Complexity of Fetal MEG Signals: A Comparison of Different Metrics and Their Applicability
Julia Moser ● Siouar Bensaid ● Eleni Kroupi ● Franziska Schleger ● Fabrice Wendling ● Giulio Ruffini and Hubert Preissl Abstract In this work, we aim to investigate whether information based metrics of neural activity … Continue reading Evaluating Complexity of Fetal MEG Signals: A Comparison of Different Metrics and Their Applicability
FLORA: Fully Automated R-peak Detection Algorithm for fetal magnetoencephalographic data
Abstract Background and Objective: Fetal magnetoencephalography (fMEG) is a method for recording fetal brain signals, fetal and maternal heart activity simultaneously. The identification of the R-peaks of the heartbeats forms the basis for later heart … Continue reading FLORA: Fully Automated R-peak Detection Algorithm for fetal magnetoencephalographic data