Prediction of task-related BOLD fMRI with amplitude signatures of resting-state fMRI
We explored task-activated fMRI (T-fMRI) signals and their relationship to the resting state fMRI (R-fMRI) signals based on the hypothesis that they arise from a common hemodynamic substrate. In the first group of twelve healthy human subjects, BOLD signal changes in response to a motor task, was re...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2012-03-01
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| Series: | Frontiers in Systems Neuroscience |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/Journal/10.3389/fnsys.2012.00007/full |
| _version_ | 1818907343861055488 |
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| author | Sridhar S Kannurpatti Bart eRypma Bharat B Biswal |
| author_facet | Sridhar S Kannurpatti Bart eRypma Bharat B Biswal |
| author_sort | Sridhar S Kannurpatti |
| collection | DOAJ |
| description | We explored task-activated fMRI (T-fMRI) signals and their relationship to the resting state fMRI (R-fMRI) signals based on the hypothesis that they arise from a common hemodynamic substrate. In the first group of twelve healthy human subjects, BOLD signal changes in response to a motor task, was regressed with the vascular sensitivity signals represented by the BOLD signal change during the performance of a hypercapnic breath hold (BH) task. Motor task versus resting-state fluctuation of amplitude (RSFA) relationship was also determined. Within any subject, a significant linear correlation was observed between motor task and BH across voxels. Averaged across the whole brain, the subject-wise correlation between the motor task and BH showed a similar linear relationship. In a similar manner, a significant linear correlation was observed between motor task and RSFA both across voxels and subjects. We term the linear dependence between motor task and RSFA as rest-task (R-T) relationship, evident in both the low and high frequencies of RSFA. Using the R-T relationship determined from the first group of 12 healthy subjects, we predicted T-fMRI responses using the low and high frequency R-fMRI (RSFA) signals in a second cohort of 7 healthy subjects. Both low and high frequency RSFA could predict the magnitude of T-fMRI responses from each subject within an error limit of 25 and 5% respectively. Also the high frequency RSFA was a better predictor of task-induced response than low frequency RSFA across voxels within a subject. The better predictive power of high frequency RSFA at the voxel and subject levels stemmed from its lower between voxel and between subject variability compared to low frequency RSFA. |
| first_indexed | 2024-12-19T21:53:37Z |
| format | Article |
| id | doaj.art-cfaaf06d8ba646c2818295106f99a908 |
| institution | Directory Open Access Journal |
| issn | 1662-5137 |
| language | English |
| last_indexed | 2024-12-19T21:53:37Z |
| publishDate | 2012-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Systems Neuroscience |
| spelling | doaj.art-cfaaf06d8ba646c2818295106f99a9082022-12-21T20:04:20ZengFrontiers Media S.A.Frontiers in Systems Neuroscience1662-51372012-03-01610.3389/fnsys.2012.0000718510Prediction of task-related BOLD fMRI with amplitude signatures of resting-state fMRISridhar S Kannurpatti0Bart eRypma1Bharat B Biswal2UMDNJUniversity of Texas at DallasUMDNJWe explored task-activated fMRI (T-fMRI) signals and their relationship to the resting state fMRI (R-fMRI) signals based on the hypothesis that they arise from a common hemodynamic substrate. In the first group of twelve healthy human subjects, BOLD signal changes in response to a motor task, was regressed with the vascular sensitivity signals represented by the BOLD signal change during the performance of a hypercapnic breath hold (BH) task. Motor task versus resting-state fluctuation of amplitude (RSFA) relationship was also determined. Within any subject, a significant linear correlation was observed between motor task and BH across voxels. Averaged across the whole brain, the subject-wise correlation between the motor task and BH showed a similar linear relationship. In a similar manner, a significant linear correlation was observed between motor task and RSFA both across voxels and subjects. We term the linear dependence between motor task and RSFA as rest-task (R-T) relationship, evident in both the low and high frequencies of RSFA. Using the R-T relationship determined from the first group of 12 healthy subjects, we predicted T-fMRI responses using the low and high frequency R-fMRI (RSFA) signals in a second cohort of 7 healthy subjects. Both low and high frequency RSFA could predict the magnitude of T-fMRI responses from each subject within an error limit of 25 and 5% respectively. Also the high frequency RSFA was a better predictor of task-induced response than low frequency RSFA across voxels within a subject. The better predictive power of high frequency RSFA at the voxel and subject levels stemmed from its lower between voxel and between subject variability compared to low frequency RSFA.http://journal.frontiersin.org/Journal/10.3389/fnsys.2012.00007/fullHypercapniafMRIpredictionresting stateactivationtask |
| spellingShingle | Sridhar S Kannurpatti Bart eRypma Bharat B Biswal Prediction of task-related BOLD fMRI with amplitude signatures of resting-state fMRI Frontiers in Systems Neuroscience Hypercapnia fMRI prediction resting state activation task |
| title | Prediction of task-related BOLD fMRI with amplitude signatures of resting-state fMRI |
| title_full | Prediction of task-related BOLD fMRI with amplitude signatures of resting-state fMRI |
| title_fullStr | Prediction of task-related BOLD fMRI with amplitude signatures of resting-state fMRI |
| title_full_unstemmed | Prediction of task-related BOLD fMRI with amplitude signatures of resting-state fMRI |
| title_short | Prediction of task-related BOLD fMRI with amplitude signatures of resting-state fMRI |
| title_sort | prediction of task related bold fmri with amplitude signatures of resting state fmri |
| topic | Hypercapnia fMRI prediction resting state activation task |
| url | http://journal.frontiersin.org/Journal/10.3389/fnsys.2012.00007/full |
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