Dr Tibor Auer

Tibor Auer

Dr Tibor Auer

Research Fellow in MRI

Phone: +44 1784 276594

Personal profile

I received my PhD in clinical neuroscience from the University of Pécs, Hungary, where I implemented various neuroimaging techniques in a clinical environment. During my first post-doc project in BiomedNMR lab at the Max Planck Institute for Biophysical Chemistry in Göttingen, I focused on neurofeedback using real-time fMRI. My goal was to optimize the experimental setup as a prerequisite for the understanding the mechanisms underlying neurofeedback. In December 2012, I joined the MRC Cognition and Brain Science Unit as a member of the Methods Group to develop, implement and optimise neuroimaging methods; and to provide support for them. I have implemented real-time fMRI-based neurofeedback in the Unit to investigate how memory-related processes could be influenced by neurofeedback. Since September 2016, I took the position of a Research Fellow of MRI at the Royal Holloway University of London, Department of Psychology in Egham to facilitate neuroimaging by contributing to methods innovation, as well as training and education.

Research interests

Open Science

I am one of the main developer of Automatic Analysis, an open-source framework to process neuroimaging analysis pipelines with great efficiency and reproducibility. I am also involved in an international initiatives working on standards to store (Brain Imaging Data Structure) and describe (Neuroimaging Data Model) neuroimaging data and provenance to facilitate open science practices.

 

Neurofeedback

NFB offers the opportunity to investigate the functioning brain in real-time and to follow its development during the training process. Further, it is expected to give new insights into our understanding of voluntary influence over brain functions with a close relationship to aspects of neuro-rehabilitation. This new insight may lead to establishing a causal link between the areas and the clinical condition as well as the direction of the causality.

The implementation of rt-fMRI for NFB, especilaly the optimization of the experimental setup, is a prerequisite for the understanding of the assumptions and mechanisms underlying fMRI NFB.

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