Effect of physiological noise on Thoraco-lumbar spinal cord fMRI in 3T magnetic field

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Effect of physiological noise on Thoraco-lumbar spinal cord fMRI in 3T magnetic field. / Dehghani, Hamed; Oghabian, Mohammad Ali; Batouli, Seyed Amir Hosein; Kheradmand, Jalil Arab; Khatibi, Ali.

In: Basic and Clinical Neuroscience, 09.05.2020.

Research output: Contribution to journalArticlepeer-review

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APA

Dehghani, H., Oghabian, M. A., Batouli, S. A. H., Kheradmand, J. A., & Khatibi, A. (Accepted/In press). Effect of physiological noise on Thoraco-lumbar spinal cord fMRI in 3T magnetic field. Basic and Clinical Neuroscience.

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Dehghani, Hamed ; Oghabian, Mohammad Ali ; Batouli, Seyed Amir Hosein ; Kheradmand, Jalil Arab ; Khatibi, Ali. / Effect of physiological noise on Thoraco-lumbar spinal cord fMRI in 3T magnetic field. In: Basic and Clinical Neuroscience. 2020.

Bibtex

@article{4b12fdef10ab42ec92d7e9c588d31d77,
title = "Effect of physiological noise on Thoraco-lumbar spinal cord fMRI in 3T magnetic field",
abstract = "Introduction: Functional MRI methods have been used to study sensorimotor processing in the Spinal cord. However, these techniques confront unwanted contributions to the measured signal from the physiological fluctuations. For the spinal cord imaging, most of the challenges are consequences of cardiac and respiratory movement artifacts that are considered as significant sources of noise, especially in the Thoraco-lumbar regions. In this study, we investigated the effect of each source of physiological noise and contribution of them to the outcome of the analysis of the BOLD signal in human Thoraco-lumbar spinal cord. Method: Fifteen young healthy male volunteers participated in the study, and pain stimuli was delivered on L5 dermatome between the two malleoli. Respiratory and cardiac signals were recorded during the imaging session, and the generated respiration and cardiac regressors were included in the GLM for quantification of the effect of each of them on the task-analyses results. The sum of active voxels of the clusters was calculated in the spinal cord in three correction states (respiration correction only, cardiac correction only, and respiration and cardiac noise corrections), and were comprised with ANOVA statistical test and ROC analysis.Result: The results illustrated that cardiac noise correction had an effective role on increasing the active voxels (mean = 23.46±9.46) compared to other noise correction methods. Cardiac effects were higher than other physiological noise sources. Conclusion: In summary, our results illustrated great respiration effects on the lumbar and thoraco-lumbar spinal cord fMRI, and its contribution with the heartbeat effect can be a significant variable in the individual fMRI data analysis. Displacement of the spinal cord and the effects of this noise in the Thoraco-lumbar and lumbar spinal cord fMRI results are significant and cannot be ignored.",
keywords = "fMRI, spinal cord, physiological noise, imaging, general linear model",
author = "Hamed Dehghani and Oghabian, {Mohammad Ali} and Batouli, {Seyed Amir Hosein} and Kheradmand, {Jalil Arab} and Ali Khatibi",
note = "Not yet published as of 25/11/2020",
year = "2020",
month = may,
day = "9",
language = "English",
journal = "Basic and Clinical Neuroscience",
issn = "2008-126X",
publisher = "Teheran University of Medical Sciences",

}

RIS

TY - JOUR

T1 - Effect of physiological noise on Thoraco-lumbar spinal cord fMRI in 3T magnetic field

AU - Dehghani, Hamed

AU - Oghabian, Mohammad Ali

AU - Batouli, Seyed Amir Hosein

AU - Kheradmand, Jalil Arab

AU - Khatibi, Ali

N1 - Not yet published as of 25/11/2020

PY - 2020/5/9

Y1 - 2020/5/9

N2 - Introduction: Functional MRI methods have been used to study sensorimotor processing in the Spinal cord. However, these techniques confront unwanted contributions to the measured signal from the physiological fluctuations. For the spinal cord imaging, most of the challenges are consequences of cardiac and respiratory movement artifacts that are considered as significant sources of noise, especially in the Thoraco-lumbar regions. In this study, we investigated the effect of each source of physiological noise and contribution of them to the outcome of the analysis of the BOLD signal in human Thoraco-lumbar spinal cord. Method: Fifteen young healthy male volunteers participated in the study, and pain stimuli was delivered on L5 dermatome between the two malleoli. Respiratory and cardiac signals were recorded during the imaging session, and the generated respiration and cardiac regressors were included in the GLM for quantification of the effect of each of them on the task-analyses results. The sum of active voxels of the clusters was calculated in the spinal cord in three correction states (respiration correction only, cardiac correction only, and respiration and cardiac noise corrections), and were comprised with ANOVA statistical test and ROC analysis.Result: The results illustrated that cardiac noise correction had an effective role on increasing the active voxels (mean = 23.46±9.46) compared to other noise correction methods. Cardiac effects were higher than other physiological noise sources. Conclusion: In summary, our results illustrated great respiration effects on the lumbar and thoraco-lumbar spinal cord fMRI, and its contribution with the heartbeat effect can be a significant variable in the individual fMRI data analysis. Displacement of the spinal cord and the effects of this noise in the Thoraco-lumbar and lumbar spinal cord fMRI results are significant and cannot be ignored.

AB - Introduction: Functional MRI methods have been used to study sensorimotor processing in the Spinal cord. However, these techniques confront unwanted contributions to the measured signal from the physiological fluctuations. For the spinal cord imaging, most of the challenges are consequences of cardiac and respiratory movement artifacts that are considered as significant sources of noise, especially in the Thoraco-lumbar regions. In this study, we investigated the effect of each source of physiological noise and contribution of them to the outcome of the analysis of the BOLD signal in human Thoraco-lumbar spinal cord. Method: Fifteen young healthy male volunteers participated in the study, and pain stimuli was delivered on L5 dermatome between the two malleoli. Respiratory and cardiac signals were recorded during the imaging session, and the generated respiration and cardiac regressors were included in the GLM for quantification of the effect of each of them on the task-analyses results. The sum of active voxels of the clusters was calculated in the spinal cord in three correction states (respiration correction only, cardiac correction only, and respiration and cardiac noise corrections), and were comprised with ANOVA statistical test and ROC analysis.Result: The results illustrated that cardiac noise correction had an effective role on increasing the active voxels (mean = 23.46±9.46) compared to other noise correction methods. Cardiac effects were higher than other physiological noise sources. Conclusion: In summary, our results illustrated great respiration effects on the lumbar and thoraco-lumbar spinal cord fMRI, and its contribution with the heartbeat effect can be a significant variable in the individual fMRI data analysis. Displacement of the spinal cord and the effects of this noise in the Thoraco-lumbar and lumbar spinal cord fMRI results are significant and cannot be ignored.

KW - fMRI

KW - spinal cord

KW - physiological noise

KW - imaging

KW - general linear model

UR - http://bcn.iums.ac.ir/

M3 - Article

JO - Basic and Clinical Neuroscience

JF - Basic and Clinical Neuroscience

SN - 2008-126X

ER -