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Practical challenges of continuous real-time functional magnetic resonance imaging neurofeedback with multiband accelerated echo-planar imaging and short repetition times

Continuous real-time functional magnetic resonance imaging (fMRI) neurofeedback is gaining increasing scientific attention in clinical neuroscience and may benefit from the short repetition times of modern multiband echoplanar imaging sequences. However, minimizing feedback delay can result in techn...

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Main Authors: Renz, Malika (Author) , Zidda, Francesca (Author) , Andoh, Jamila (Author) , Prager, Marcel (Author) , Sack, Markus (Author) , Becker, Robert (Author) , Ruf, Matthias (Author) , Schmitgen, Mike (Author) , Wolf, Robert Christian (Author) , Meyer-Lindenberg, Andreas (Author) , Tost, Heike (Author)
Format: Article (Journal)
Language:English
Published: February 15, 2023
In: Human brain mapping
Year: 2023, Volume: 44, Issue: 3, Pages: 1278-1282
ISSN:1097-0193
DOI:10.1002/hbm.26154
Online Access:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1002/hbm.26154
Verlag, lizenzpflichtig, Volltext: https://onlinelibrary.wiley.com/doi/abs/10.1002/hbm.26154
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Author Notes:Malika P. Renz, Francesca Zidda, Jamila Andoh, Marcel Prager, Markus Sack, Robert Becker, Matthias Ruf, Mike M. Schmitgen, Robert C. Wolf, Andreas Meyer-Lindenberg, Heike Tost
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Summary:Continuous real-time functional magnetic resonance imaging (fMRI) neurofeedback is gaining increasing scientific attention in clinical neuroscience and may benefit from the short repetition times of modern multiband echoplanar imaging sequences. However, minimizing feedback delay can result in technical challenges. Here, we report a technical problem we experienced during continuous fMRI neurofeedback with multiband echoplanar imaging and short repetition times. We identify the possible origins of this problem, describe our current interim solution and provide openly available workflows and code to other researchers in case they wish to use a similar approach.
Item Description:Gesehen am 30.03.2023
Physical Description:Online Resource
ISSN:1097-0193
DOI:10.1002/hbm.26154

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