And the award goes to … Dr. Sven Hoffmann

by Stefanie Rudrich
Marketing Manager (Brain Products)

As in previous years, Brain Products proudly sponsored the Brain Products Young Scientist Award, granted to a young scientist who had presented an outstanding paper during the annual meeting of the German Society for Applied Psychophysiology. This year’s winner was Dr. Sven Hoffmann (Leibniz Research Centre for Working Environment and Human Factors).

Between June 19 and June 21, 2014, again several hundred scientists attended the annual meeting of the German Society for Applied Psychophysiology (Deutsche Gesellschaft für Psychophysiologie und ihre Anwendung; DGPA), which this year was held in Luebeck  (Germany). Just as in previous years, Brain Products sponsored the Brain Products Young Scientist Award, granted to a young scientist who had presented an outstanding paper during the conference. This year’s winner was Dr. Sven Hoffmann from the Leibniz Research Centre for Working Environment and Human Factors (IfADo) in Dortmund (Germany).

Sven_Hoffmann

Dr. Sven Hoffmann

Dr. Hoffmann did his PhD on “Independent Component Analysis of Ocular Artifacts” (University of Bochum; PD Dr. B. Suchan & Prof. Dr. M. Falkenstein) in 2009 and since then has been working as a postdoc at the Leibniz Research Centre for Working Environment and Human Factors.

The price, which is endowed with a prize money in the amount of 1000 Euro, was awarded to him for his publication “Crosslinking EEG time-frequency decomposition and fMRI in error monitoring”, in which he demonstrates (in collaboration with the co-authors Franziska Labrenz, Maria Themann, Edmund Wascher, and Christian Beste) that BOLD signal changes reflecting error processing on a functional-neuroanatomical level are best predicted by evoked oscillations in the theta frequency band.

Official Abstract of
Crosslinking EEG time-frequency decomposition and fMRI in error monitoring”

Recent studies implicate a common response monitoring system, being active during erroneous and correct responses. Converging evidence from time-frequency decompositions of the response-related ERP revealed that evoked theta activity at fronto-central electrode positions differentiates correct from erroneous responses in simple tasks, but also in more complex tasks. However, up to now it is unclear how different electrophysiological parameters of error processing, especially at the level of neural oscillations are related, or predictive for BOLD signal changes reflecting error processing at a functional-neuroanatomical level. The present study aims to provide crosslinks between time domain information, time-frequency information, MRI BOLD signal and behavioral parameters in a task examining error monitoring due to mistakes in a mental rotation task. The results show that BOLD signal changes reflecting error processing on a functional-neuroanatomical level are best predicted by evoked oscillations in the theta frequency band. Although the fMRI results in this study account for an involvement of the anterior cingulate cortex, middle frontal gyrus, and the Insula in error processing, the correlation of evoked oscillations and BOLD signal was restricted to a coupling of evoked theta and anterior cingulate cortex BOLD activity. The current results indicate that although there is a distributed functional-neuroanatomical network mediating error processing, only distinct parts of this network seem to modulate electrophysiological properties of error monitoring.

Brain Struct Funct. 2014 Mar; 219(2):595-605. doi: 10.1007/s00429-013-0521-y. Epub 2013 Feb 27.

Congratulations on winning the Brain Products Young Scientist Award 2014, Sven, and best wishes for your future!

©Brain Products GmbH 2014

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