Model-based attenuation of movement artifacts in fMRI
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| Title: | Model-based attenuation of movement artifacts in fMRI |
|---|---|
| Authors: | Lemmin, T.1,2, Ganesh, G.2,3 gans_gs@hotmail.com, Gassert, R.1,4, Burdet, E.3, Kawato, M.2, Haruno, M.2 |
| Source: | Journal of Neuroscience Methods. Sep2010, Vol. 192 Issue 1, p58-69. 12p. |
| Subjects: | Magnetic resonance imaging, Medical imaging systems, Brain imaging, Analysis of variance, Kinematics, Linear statistical models, Algorithms |
| Abstract: | Abstract: Behavioral analysis of multi-joint arm reaching has allowed important advances in understanding the control of voluntary movements. Complementing this analysis with functional magnetic resonance imaging (fMRI) would give insight into the neural mechanisms behind this control. However, fMRI is very sensitive to artifacts created by head motion and magnetic field deformation caused by the moving limbs. It is thus necessary to attenuate these motion artifacts in order to obtain correct activation patterns. Most algorithms in literature were designed for slow changes of head position over several brain scans and are not very effective on data when the movement is of duration below the resolution of a brain scan. This paper introduces a simple model-based method to remove motion artifacts during short duration movements. The proposed algorithm can account for head movement and field deformations due to movements within and outside of the scanner''s field of view. It uses information from the experimental design and subject kinematics to focus the artifact attenuation in time and space and minimize the loss of uncorrupted data. Applications of the algorithm on arm reaching experimental data obtained with blocked and event-related designs demonstrate attenuation of motion artifacts with minimal effect on the brain activations. [Copyright &y& Elsevier] |
| Copyright of Journal of Neuroscience Methods is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 53418996 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Model-based attenuation of movement artifacts in fMRI – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Lemmin%2C+T%2E%22">Lemmin, T.</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Ganesh%2C+G%2E%22">Ganesh, G.</searchLink><relatesTo>2,3</relatesTo><i> gans_gs@hotmail.com</i><br /><searchLink fieldCode="AR" term="%22Gassert%2C+R%2E%22">Gassert, R.</searchLink><relatesTo>1,4</relatesTo><br /><searchLink fieldCode="AR" term="%22Burdet%2C+E%2E%22">Burdet, E.</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Kawato%2C+M%2E%22">Kawato, M.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Haruno%2C+M%2E%22">Haruno, M.</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Neuroscience+Methods%22">Journal of Neuroscience Methods</searchLink>. Sep2010, Vol. 192 Issue 1, p58-69. 12p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Magnetic+resonance+imaging%22">Magnetic resonance imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+imaging+systems%22">Medical imaging systems</searchLink><br /><searchLink fieldCode="DE" term="%22Brain+imaging%22">Brain imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Analysis+of+variance%22">Analysis of variance</searchLink><br /><searchLink fieldCode="DE" term="%22Kinematics%22">Kinematics</searchLink><br /><searchLink fieldCode="DE" term="%22Linear+statistical+models%22">Linear statistical models</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Abstract: Behavioral analysis of multi-joint arm reaching has allowed important advances in understanding the control of voluntary movements. Complementing this analysis with functional magnetic resonance imaging (fMRI) would give insight into the neural mechanisms behind this control. However, fMRI is very sensitive to artifacts created by head motion and magnetic field deformation caused by the moving limbs. It is thus necessary to attenuate these motion artifacts in order to obtain correct activation patterns. Most algorithms in literature were designed for slow changes of head position over several brain scans and are not very effective on data when the movement is of duration below the resolution of a brain scan. This paper introduces a simple model-based method to remove motion artifacts during short duration movements. The proposed algorithm can account for head movement and field deformations due to movements within and outside of the scanner''s field of view. It uses information from the experimental design and subject kinematics to focus the artifact attenuation in time and space and minimize the loss of uncorrupted data. Applications of the algorithm on arm reaching experimental data obtained with blocked and event-related designs demonstrate attenuation of motion artifacts with minimal effect on the brain activations. [Copyright &y& Elsevier] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Neuroscience Methods is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.jneumeth.2010.07.013 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 58 Subjects: – SubjectFull: Magnetic resonance imaging Type: general – SubjectFull: Medical imaging systems Type: general – SubjectFull: Brain imaging Type: general – SubjectFull: Analysis of variance Type: general – SubjectFull: Kinematics Type: general – SubjectFull: Linear statistical models Type: general – SubjectFull: Algorithms Type: general Titles: – TitleFull: Model-based attenuation of movement artifacts in fMRI Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lemmin, T. – PersonEntity: Name: NameFull: Ganesh, G. – PersonEntity: Name: NameFull: Gassert, R. – PersonEntity: Name: NameFull: Burdet, E. – PersonEntity: Name: NameFull: Kawato, M. – PersonEntity: Name: NameFull: Haruno, M. IsPartOfRelationships: – BibEntity: Dates: – D: 30 M: 09 Text: Sep2010 Type: published Y: 2010 Identifiers: – Type: issn-print Value: 01650270 Numbering: – Type: volume Value: 192 – Type: issue Value: 1 Titles: – TitleFull: Journal of Neuroscience Methods Type: main |
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