Real-time fMRI-based activation analysis and stimulus control

Tobias Moench; Maurice Hollmann; Johannes Bernarding

doi:10.1117/12.709348

29 March 2007 Real-time fMRI-based activation analysis and stimulus control

Tobias Moench, Maurice Hollmann, Johannes Bernarding

Proceedings Volume 6511, Medical Imaging 2007: Physiology, Function, and Structure from Medical Images; 651114 (2007) https://doi.org/10.1117/12.709348
Event: Medical Imaging, 2007, San Diego, CA, United States

Abstract

The real-time analysis of brain activation using functional MRI data offers a wide range of new experiments such as investigating self-regulation or learning strategies. However, besides special data acquisition and real-time data analysing techniques such examination requires dynamic and adaptive stimulus paradigms and self-optimising MRI-sequences. This paper presents an approach that enables the unified handling of parameters influencing the different software systems involved in the acquisition and analysing process. By developing a custom-made Experiment Description Language (EDL) this concept is used for a fast and flexible software environment which treats aspects like extraction and analysis of activation as well as the modification of the stimulus presentation. We describe how extracted real-time activation is subsequently evaluated by comparing activation patterns to previous acquired templates representing activated regions of interest for different predefined conditions. According to those results the stimulus presentation is adapted. The results showed that the developed system in combination with EDL is able to reliably detect and evaluate activation patterns in real-time. With a processing time for data analysis of about one second the approach is only limited by the natural time course of the hemodynamic response function of the brain activation.

Citation Download Citation

Tobias Moench, Maurice Hollmann, and Johannes Bernarding "Real-time fMRI-based activation analysis and stimulus control", Proc. SPIE 6511, Medical Imaging 2007: Physiology, Function, and Structure from Medical Images, 651114 (29 March 2007); https://doi.org/10.1117/12.709348

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