Improved localization of language areas using single voxel signal analysis of unprocessed fMRI data
Activated brain regions can be visualized and localized with the use of fMRI (functional magnetic imaging). This is based on changes in the blood flow in activated regions, or more precisely on the hemodynamic response function (HRF) and the Blood-Oxygen-Level-Dependent (BOLD) effect. This study use...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-09-01
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| Series: | Frontiers in Radiology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fradi.2022.997330/full |
| _version_ | 1811271210245292032 |
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| author | Leonard Fetscher Marion Batra Uwe Klose |
| author_facet | Leonard Fetscher Marion Batra Uwe Klose |
| author_sort | Leonard Fetscher |
| collection | DOAJ |
| description | Activated brain regions can be visualized and localized with the use of fMRI (functional magnetic imaging). This is based on changes in the blood flow in activated regions, or more precisely on the hemodynamic response function (HRF) and the Blood-Oxygen-Level-Dependent (BOLD) effect. This study used a task-based fMRI examination with language paradigms in order to stimulate the language areas. The measured fMRI data are frequently altered by different preprocessing steps for the analysis and the display of activations. These changes can lead to discrepancies between the displayed and the truly measured location of the activations. Simple t-maps were created with unprocessed fMRI data, to provide a more realistic representation of the language areas. HRF-dependent single-voxel fMRI signal analysis was performed to improve the analyzability of these activation maps. |
| first_indexed | 2024-04-12T22:16:02Z |
| format | Article |
| id | doaj.art-219b1526d76f4ccd9f12a5e057d0e6f1 |
| institution | Directory Open Access Journal |
| issn | 2673-8740 |
| language | English |
| last_indexed | 2024-04-12T22:16:02Z |
| publishDate | 2022-09-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Radiology |
| spelling | doaj.art-219b1526d76f4ccd9f12a5e057d0e6f12022-12-22T03:14:31ZengFrontiers Media S.A.Frontiers in Radiology2673-87402022-09-01210.3389/fradi.2022.997330997330Improved localization of language areas using single voxel signal analysis of unprocessed fMRI dataLeonard FetscherMarion BatraUwe KloseActivated brain regions can be visualized and localized with the use of fMRI (functional magnetic imaging). This is based on changes in the blood flow in activated regions, or more precisely on the hemodynamic response function (HRF) and the Blood-Oxygen-Level-Dependent (BOLD) effect. This study used a task-based fMRI examination with language paradigms in order to stimulate the language areas. The measured fMRI data are frequently altered by different preprocessing steps for the analysis and the display of activations. These changes can lead to discrepancies between the displayed and the truly measured location of the activations. Simple t-maps were created with unprocessed fMRI data, to provide a more realistic representation of the language areas. HRF-dependent single-voxel fMRI signal analysis was performed to improve the analyzability of these activation maps.https://www.frontiersin.org/articles/10.3389/fradi.2022.997330/fulltask-based fMRIhemodynamic response function (HRF)language fMRIt-MapfilterHRF-dependent parameters |
| spellingShingle | Leonard Fetscher Marion Batra Uwe Klose Improved localization of language areas using single voxel signal analysis of unprocessed fMRI data Frontiers in Radiology task-based fMRI hemodynamic response function (HRF) language fMRI t-Map filter HRF-dependent parameters |
| title | Improved localization of language areas using single voxel signal analysis of unprocessed fMRI data |
| title_full | Improved localization of language areas using single voxel signal analysis of unprocessed fMRI data |
| title_fullStr | Improved localization of language areas using single voxel signal analysis of unprocessed fMRI data |
| title_full_unstemmed | Improved localization of language areas using single voxel signal analysis of unprocessed fMRI data |
| title_short | Improved localization of language areas using single voxel signal analysis of unprocessed fMRI data |
| title_sort | improved localization of language areas using single voxel signal analysis of unprocessed fmri data |
| topic | task-based fMRI hemodynamic response function (HRF) language fMRI t-Map filter HRF-dependent parameters |
| url | https://www.frontiersin.org/articles/10.3389/fradi.2022.997330/full |
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