Flexible adaptive paradigms for fMRI using a novel software package 'Brain Analysis in Real-Time' (BART).
In this work we present a new open source software package offering a unified framework for the real-time adaptation of fMRI stimulation procedures. The software provides a straightforward setup and highly flexible approach to adapt fMRI paradigms while the experiment is running. The general framewo...
Main Authors: | , , , , , , , , |
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Format: | Article |
Language: | English |
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Public Library of Science (PLoS)
2015-01-01
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Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0118890 |
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author | Lydia Hellrung Maurice Hollmann Oliver Zscheyge Torsten Schlumm Christian Kalberlah Elisabeth Roggenhofer Hadas Okon-Singer Arno Villringer Annette Horstmann |
author_facet | Lydia Hellrung Maurice Hollmann Oliver Zscheyge Torsten Schlumm Christian Kalberlah Elisabeth Roggenhofer Hadas Okon-Singer Arno Villringer Annette Horstmann |
author_sort | Lydia Hellrung |
collection | DOAJ |
description | In this work we present a new open source software package offering a unified framework for the real-time adaptation of fMRI stimulation procedures. The software provides a straightforward setup and highly flexible approach to adapt fMRI paradigms while the experiment is running. The general framework comprises the inclusion of parameters from subject's compliance, such as directing gaze to visually presented stimuli and physiological fluctuations, like blood pressure or pulse. Additionally, this approach yields possibilities to investigate complex scientific questions, for example the influence of EEG rhythms or fMRI signals results themselves. To prove the concept of this approach, we used our software in a usability example for an fMRI experiment where the presentation of emotional pictures was dependent on the subject's gaze position. This can have a significant impact on the results. So far, if this is taken into account during fMRI data analysis, it is commonly done by the post-hoc removal of erroneous trials. Here, we propose an a priori adaptation of the paradigm during the experiment's runtime. Our fMRI findings clearly show the benefits of an adapted paradigm in terms of statistical power and higher effect sizes in emotion-related brain regions. This can be of special interest for all experiments with low statistical power due to a limited number of subjects, a limited amount of time, costs or available data to analyze, as is the case with real-time fMRI. |
first_indexed | 2024-12-21T07:45:09Z |
format | Article |
id | doaj.art-816b39cd6ebe4279adb75d990c3f0bd9 |
institution | Directory Open Access Journal |
issn | 1932-6203 |
language | English |
last_indexed | 2024-12-21T07:45:09Z |
publishDate | 2015-01-01 |
publisher | Public Library of Science (PLoS) |
record_format | Article |
series | PLoS ONE |
spelling | doaj.art-816b39cd6ebe4279adb75d990c3f0bd92022-12-21T19:11:13ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-01103e011889010.1371/journal.pone.0118890Flexible adaptive paradigms for fMRI using a novel software package 'Brain Analysis in Real-Time' (BART).Lydia HellrungMaurice HollmannOliver ZscheygeTorsten SchlummChristian KalberlahElisabeth RoggenhoferHadas Okon-SingerArno VillringerAnnette HorstmannIn this work we present a new open source software package offering a unified framework for the real-time adaptation of fMRI stimulation procedures. The software provides a straightforward setup and highly flexible approach to adapt fMRI paradigms while the experiment is running. The general framework comprises the inclusion of parameters from subject's compliance, such as directing gaze to visually presented stimuli and physiological fluctuations, like blood pressure or pulse. Additionally, this approach yields possibilities to investigate complex scientific questions, for example the influence of EEG rhythms or fMRI signals results themselves. To prove the concept of this approach, we used our software in a usability example for an fMRI experiment where the presentation of emotional pictures was dependent on the subject's gaze position. This can have a significant impact on the results. So far, if this is taken into account during fMRI data analysis, it is commonly done by the post-hoc removal of erroneous trials. Here, we propose an a priori adaptation of the paradigm during the experiment's runtime. Our fMRI findings clearly show the benefits of an adapted paradigm in terms of statistical power and higher effect sizes in emotion-related brain regions. This can be of special interest for all experiments with low statistical power due to a limited number of subjects, a limited amount of time, costs or available data to analyze, as is the case with real-time fMRI.https://doi.org/10.1371/journal.pone.0118890 |
spellingShingle | Lydia Hellrung Maurice Hollmann Oliver Zscheyge Torsten Schlumm Christian Kalberlah Elisabeth Roggenhofer Hadas Okon-Singer Arno Villringer Annette Horstmann Flexible adaptive paradigms for fMRI using a novel software package 'Brain Analysis in Real-Time' (BART). PLoS ONE |
title | Flexible adaptive paradigms for fMRI using a novel software package 'Brain Analysis in Real-Time' (BART). |
title_full | Flexible adaptive paradigms for fMRI using a novel software package 'Brain Analysis in Real-Time' (BART). |
title_fullStr | Flexible adaptive paradigms for fMRI using a novel software package 'Brain Analysis in Real-Time' (BART). |
title_full_unstemmed | Flexible adaptive paradigms for fMRI using a novel software package 'Brain Analysis in Real-Time' (BART). |
title_short | Flexible adaptive paradigms for fMRI using a novel software package 'Brain Analysis in Real-Time' (BART). |
title_sort | flexible adaptive paradigms for fmri using a novel software package brain analysis in real time bart |
url | https://doi.org/10.1371/journal.pone.0118890 |
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