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Cortical thickness predicts pain sensitivity in a multi-centre cohort: a machine learning approach

Author:Raviteja Kotikalapudi  Balint Kincses  Kevin Hoffschlag  Matthias Zunhammer  Tobias Schmidt-Wilcke  Zsigmond Kincses  Ulrike Bingel  Tamas Spisak  

Session Type:Digital Poster  

Session Date:Tuesday, 10 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Quality Assessment & Data Harmonization II  

Program Number:1872  

Room Session:Exhibition Hall:S8 & S9  

Institution:Heinrich Heine University  University Hospital Essen  University of Szeged  District Hospital Mainkofen, Mainkofen  

Predictive modelling and center effects: towards a robust functional connectivity-based neuromarker of pain sensitivity

Author:Tamas Spisak  Balint Kincses  Raviteja Kotikalapudi  Matthias Zunhammer  Frederik Schlitt  Tobias Schmidt-Wilcke  Zsigmond Tamas Kincses  Ulrike Bingel  

Session Type:Digital Poster  

Session Date:Monday, 09 May 2022  

Topic:Module 1: fMRI  

Session Name:Resting-State Functional Connectivity Methods  

Program Number:0997  

Room Session:Exhibition Hall:S8 & S9  

Institution:Heinrich Heine Universität  University Hospital Essen  University of Szeged  Bezirksklinikum Mainkofen  

Resting-state functional connectivity predicts subsequent pain-related threat learning

Author:Balint Kincses  Katarina Forkmann  Katharina Schmidt  Ulrike Bingel  Tamas Spisak  

Session Type:Digital Poster  

Session Date:Tuesday, 10 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Quality Assessment & Data Harmonization I  

Program Number:1794  

Room Session:Exhibition Hall:S8 & S9  

Institution:University Hospital Essen