Test-retest reliability of emotion regulation networks using fMRI at ultra-high magnetic field
Given the importance of emotion regulation in affective disorders, emotion regulation is at the focus of attempts to identify brain biomarkers of disease risk, treatment response, and brain development. However, to be useful as an indicator for individual characteristics of brain functions – particu...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2021-05-01
|
| Series: | NeuroImage |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1053811921001944 |
| _version_ | 1818329457383964672 |
|---|---|
| author | Stella Berboth Christian Windischberger Nils Kohn Carmen Morawetz |
| author_facet | Stella Berboth Christian Windischberger Nils Kohn Carmen Morawetz |
| author_sort | Stella Berboth |
| collection | DOAJ |
| description | Given the importance of emotion regulation in affective disorders, emotion regulation is at the focus of attempts to identify brain biomarkers of disease risk, treatment response, and brain development. However, to be useful as an indicator for individual characteristics of brain functions – particularly as a biomarker in a clinical context – ensuring reliability is a key challenge. Here, we systematically evaluated test-retest reliability of task-based functional magnetic resonance imaging (fMRI) activity within neural networks associated with emotion generation and regulation across three sessions. Acquiring fMRI data at ultra-high field (7T), we examined region- and voxel-wise test-retest reliability of brain activity in response to a well-established emotion regulation task for predefined region-of-interests (ROIs) implicated in four neural networks. Test-retest reliability varied considerably across the emotion regulation networks and respective ROIs. However, core emotion regulation regions, including the ventrolateral and dorsolateral prefrontal cortex (vlPFC and dlPFC) as well as the middle temporal gyrus (MTG) showed high reliability. Our findings thus support the role of these prefrontal and temporal regions as promising candidates for the study of individual differences in emotion regulation as well as for neurobiological biomarkers in clinical neuroscience research. |
| first_indexed | 2024-12-13T12:48:22Z |
| format | Article |
| id | doaj.art-a0101715fbc34b83b66e9673672099ce |
| institution | Directory Open Access Journal |
| issn | 1095-9572 |
| language | English |
| last_indexed | 2024-12-13T12:48:22Z |
| publishDate | 2021-05-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage |
| spelling | doaj.art-a0101715fbc34b83b66e9673672099ce2022-12-21T23:45:25ZengElsevierNeuroImage1095-95722021-05-01232117917Test-retest reliability of emotion regulation networks using fMRI at ultra-high magnetic fieldStella Berboth0Christian Windischberger1Nils Kohn2Carmen Morawetz3Department of Neurology, Charité Universitätsmedizin Berlin, Germany; Department of Education and Psychology, Freie Universität Berlin, Germany; Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, AustriaCenter for Medical Physics and Biomedical Engineering, Medical University of Vienna, AustriaDonders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmengen, NetherlandsCenter for Medical Physics and Biomedical Engineering, Medical University of Vienna, Austria; Institute of Psychology, University of Innsbruck, Austria; Corresponding author at: Institute of Psychology, University of Innsbruck, Innrain 52f, 6020 Innsbruck, Austria.Given the importance of emotion regulation in affective disorders, emotion regulation is at the focus of attempts to identify brain biomarkers of disease risk, treatment response, and brain development. However, to be useful as an indicator for individual characteristics of brain functions – particularly as a biomarker in a clinical context – ensuring reliability is a key challenge. Here, we systematically evaluated test-retest reliability of task-based functional magnetic resonance imaging (fMRI) activity within neural networks associated with emotion generation and regulation across three sessions. Acquiring fMRI data at ultra-high field (7T), we examined region- and voxel-wise test-retest reliability of brain activity in response to a well-established emotion regulation task for predefined region-of-interests (ROIs) implicated in four neural networks. Test-retest reliability varied considerably across the emotion regulation networks and respective ROIs. However, core emotion regulation regions, including the ventrolateral and dorsolateral prefrontal cortex (vlPFC and dlPFC) as well as the middle temporal gyrus (MTG) showed high reliability. Our findings thus support the role of these prefrontal and temporal regions as promising candidates for the study of individual differences in emotion regulation as well as for neurobiological biomarkers in clinical neuroscience research.http://www.sciencedirect.com/science/article/pii/S1053811921001944Intraclass correlation coefficientNeuroimagingReappraisalPrefrontal cortexEmotion generation |
| spellingShingle | Stella Berboth Christian Windischberger Nils Kohn Carmen Morawetz Test-retest reliability of emotion regulation networks using fMRI at ultra-high magnetic field NeuroImage Intraclass correlation coefficient Neuroimaging Reappraisal Prefrontal cortex Emotion generation |
| title | Test-retest reliability of emotion regulation networks using fMRI at ultra-high magnetic field |
| title_full | Test-retest reliability of emotion regulation networks using fMRI at ultra-high magnetic field |
| title_fullStr | Test-retest reliability of emotion regulation networks using fMRI at ultra-high magnetic field |
| title_full_unstemmed | Test-retest reliability of emotion regulation networks using fMRI at ultra-high magnetic field |
| title_short | Test-retest reliability of emotion regulation networks using fMRI at ultra-high magnetic field |
| title_sort | test retest reliability of emotion regulation networks using fmri at ultra high magnetic field |
| topic | Intraclass correlation coefficient Neuroimaging Reappraisal Prefrontal cortex Emotion generation |
| url | http://www.sciencedirect.com/science/article/pii/S1053811921001944 |
| work_keys_str_mv | AT stellaberboth testretestreliabilityofemotionregulationnetworksusingfmriatultrahighmagneticfield AT christianwindischberger testretestreliabilityofemotionregulationnetworksusingfmriatultrahighmagneticfield AT nilskohn testretestreliabilityofemotionregulationnetworksusingfmriatultrahighmagneticfield AT carmenmorawetz testretestreliabilityofemotionregulationnetworksusingfmriatultrahighmagneticfield |