Head motion during MRI acquisition reduces gray matter volume and thickness estimates

Imaging biomarkers derived from magnetic resonance imaging (MRI) data are used to quantify normal development, disease, and the effects of disease-modifying therapies. However, motion during image acquisition introduces image artifacts that, in turn, affect derived markers. A systematic effect can b...

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Vydáno v:	NeuroImage (Orlando, Fla.) Ročník 107; s. 107 - 115
Hlavní autoři:	Reuter, Martin, Tisdall, M. Dylan, Qureshi, Abid, Buckner, Randy L., van der Kouwe, André J.W., Fischl, Bruce
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States Elsevier Inc 15.02.2015 Elsevier Limited
Témata:	Adult Aging Algorithms Atrophy Bias Biomarkers Brain Brain research Correlation analysis Cortex Cortical gray matter estimates Estimates Gray Matter - anatomy & histology Head Head motion Head motions Head Movements - physiology Humans Huntingtons disease Hydration Image acquisition Image Interpretation, Computer-Assisted - methods Image processing Image Processing, Computer-Assisted Imaging Linear Models Magnetic resonance imaging Magnetic Resonance Imaging - methods Medical services Movement disorders MRI Neuroimaging Quality Control Software packages Spurious effect Substantia grisea Thickness Volume Thickness MRI Volume Cortical gray matter estimates Bias Quality control Spurious effect Head motion
ISSN:	1053-8119, 1095-9572, 1095-9572
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Abstract	Imaging biomarkers derived from magnetic resonance imaging (MRI) data are used to quantify normal development, disease, and the effects of disease-modifying therapies. However, motion during image acquisition introduces image artifacts that, in turn, affect derived markers. A systematic effect can be problematic since factors of interest like age, disease, and treatment are often correlated with both a structural change and the amount of head motion in the scanner, confounding the ability to distinguish biology from artifact. Here we evaluate the effect of head motion during image acquisition on morphometric estimates of structures in the human brain using several popular image analysis software packages (FreeSurfer 5.3, VBM8 SPM, and FSL Siena 5.0.7). Within-session repeated T1-weighted MRIs were collected on 12 healthy volunteers while performing different motion tasks, including two still scans. We show that volume and thickness estimates of the cortical gray matter are biased by head motion with an average apparent volume loss of roughly 0.7%/mm/min of subject motion. Effects vary across regions and remain significant after excluding scans that fail a rigorous quality check. In view of these results, the interpretation of reported morphometric effects of movement disorders or other conditions with increased motion tendency may need to be revisited: effects may be overestimated when not controlling for head motion. Furthermore, drug studies with hypnotic, sedative, tranquilizing, or neuromuscular-blocking substances may contain spurious “effects” of reduced atrophy or brain growth simply because they affect motion distinct from true effects of the disease or therapeutic process. •MRI head motion induces a consistent bias in morphometric analysis.•Increased motion generally causes smaller gray matter volume and cortical thickness estimates.•Effects of movement disorders may be severely overestimated when not controlling for head motion.•Drugs that inhibit motion likely provide a spurious effect of reduced atrophy rates.•Exclusion of scans that fail a visual quality check is not sufficient to remove this bias.
AbstractList	Imaging biomarkers derived from magnetic resonance imaging (MRI) data are used to quantify normal development, disease, and the effects of disease-modifying therapies. However, motion during image acquisition introduces image artifacts that, in turn, affect derived markers. A systematic effect can be problematic since factors of interest like age, disease, and treatment are often correlated with both a structural change and the amount of head motion in the scanner, confounding the ability to distinguish biology from artifact. Here we evaluate the effect of head motion during image acquisition on morphometric estimates of structures in the human brain using several popular image analysis software packages (FreeSurfer 5.3, VBM8 SPM, and FSL Siena 5.0.7). Within-session repeated T1-weighted MRIs were collected on 12 healthy volunteers while performing different motion tasks, including two still scans. We show that volume and thickness estimates of the cortical gray matter are biased by head motion with an average apparent volume loss of roughly 0.7%/mm/min of subject motion. Effects vary across regions and remain significant after excluding scans that fail a rigorous quality check. In view of these results, the interpretation of reported morphometric effects of movement disorders or other conditions with increased motion tendency may need to be revisited: effects may be overestimated when not controlling for head motion. Furthermore, drug studies with hypnotic, sedative, tranquillizing, or neuromuscular-blocking substances may contain spurious “effects” of reduced atrophy or brain growth simply because they affect motion distinct from true effects of the disease or therapeutic process. Imaging biomarkers derived from magnetic resonance imaging (MRI) data are used to quantify normal development, disease, and the effects of disease-modifying therapies. However, motion during image acquisition introduces image artifacts that, in turn, affect derived markers. A systematic effect can be problematic since factors of interest like age, disease, and treatment are often correlated with both a structural change and the amount of head motion in the scanner, confounding the ability to distinguish biology from artifact. Here we evaluate the effect of head motion during image acquisition on morphometric estimates of structures in the human brain using several popular image analysis software packages (FreeSurfer 5.3, VBM8 SPM, and FSL Siena 5.0.7). Within-session repeated T1-weighted MRIs were collected on 12 healthy volunteers while performing different motion tasks, including two still scans. We show that volume and thickness estimates of the cortical gray matter are biased by head motion with an average apparent volume loss of roughly 0.7%/mm/min of subject motion. Effects vary across regions and remain significant after excluding scans that fail a rigorous quality check. In view of these results, the interpretation of reported morphometric effects of movement disorders or other conditions with increased motion tendency may need to be revisited: effects may be overestimated when not controlling for head motion. Furthermore, drug studies with hypnotic, sedative, tranquilizing, or neuromuscular-blocking substances may contain spurious “effects” of reduced atrophy or brain growth simply because they affect motion distinct from true effects of the disease or therapeutic process. •MRI head motion induces a consistent bias in morphometric analysis.•Increased motion generally causes smaller gray matter volume and cortical thickness estimates.•Effects of movement disorders may be severely overestimated when not controlling for head motion.•Drugs that inhibit motion likely provide a spurious effect of reduced atrophy rates.•Exclusion of scans that fail a visual quality check is not sufficient to remove this bias. Imaging biomarkers derived from magnetic resonance imaging (MRI) data are used to quantify normal development, disease, and the effects of disease-modifying therapies. However, motion during image acquisition introduces image artifacts that, in turn, affect derived markers. A systematic effect can be problematic since factors of interest like age, disease, and treatment are often correlated with both a structural change and the amount of head motion in the scanner, confounding the ability to distinguish biology from artifact. Here we evaluate the effect of head motion during image acquisition on morphometric estimates of structures in the human brain using several popular image analysis software packages (FreeSurfer 5.3, VBM8 SPM, and FSL Siena 5.0.7). Within-session repeated T1-weighted MRIs were collected on 12 healthy volunteers while performing different motion tasks, including two still scans. We show that volume and thickness estimates of the cortical gray matter are biased by head motion with an average apparent volume loss of roughly 0.7%/mm/min of subject motion. Effects vary across regions and remain significant after excluding scans that fail a rigorous quality check. In view of these results, the interpretation of reported morphometric effects of movement disorders or other conditions with increased motion tendency may need to be revisited: effects may be overestimated when not controlling for head motion. Furthermore, drug studies with hypnotic, sedative, tranquilizing, or neuromuscular-blocking substances may contain spurious "effects" of reduced atrophy or brain growth simply because they affect motion distinct from true effects of the disease or therapeutic process.Imaging biomarkers derived from magnetic resonance imaging (MRI) data are used to quantify normal development, disease, and the effects of disease-modifying therapies. However, motion during image acquisition introduces image artifacts that, in turn, affect derived markers. A systematic effect can be problematic since factors of interest like age, disease, and treatment are often correlated with both a structural change and the amount of head motion in the scanner, confounding the ability to distinguish biology from artifact. Here we evaluate the effect of head motion during image acquisition on morphometric estimates of structures in the human brain using several popular image analysis software packages (FreeSurfer 5.3, VBM8 SPM, and FSL Siena 5.0.7). Within-session repeated T1-weighted MRIs were collected on 12 healthy volunteers while performing different motion tasks, including two still scans. We show that volume and thickness estimates of the cortical gray matter are biased by head motion with an average apparent volume loss of roughly 0.7%/mm/min of subject motion. Effects vary across regions and remain significant after excluding scans that fail a rigorous quality check. In view of these results, the interpretation of reported morphometric effects of movement disorders or other conditions with increased motion tendency may need to be revisited: effects may be overestimated when not controlling for head motion. Furthermore, drug studies with hypnotic, sedative, tranquilizing, or neuromuscular-blocking substances may contain spurious "effects" of reduced atrophy or brain growth simply because they affect motion distinct from true effects of the disease or therapeutic process. Imaging biomarkers derived from magnetic resonance imaging (MRI) data are used to quantify normal development, disease, and the effects of disease-modifying therapies. However, motion during image acquisition introduces image artifacts that, in turn, affect derived markers. A systematic effect can be problematic since factors of interest like age, disease, and treatment are often correlated with both a structural change and the amount of head motion in the scanner, confounding the ability to distinguish biology from artifact. Here we evaluate the effect of head motion during image acquisition on morphometric estimates of structures in the human brain using several popular image analysis software packages (FreeSurfer 5.3, VBM8 SPM, and FSL Siena 5.0.7). Within-session repeated T1-weighted MRIs were collected on 12 healthy volunteers while performing different motion tasks, including two still scans. We show that volume and thickness estimates of the cortical gray matter are biased by head motion with an average apparent volume loss of roughly 0.7%/mm/min of subject motion. Effects vary across regions and remain significant after excluding scans that fail a rigorous quality check. In view of these results, the interpretation of reported morphometric effects of movement disorders or other conditions with increased motion tendency may need to be revisited: effects may be overestimated when not controlling for head motion. Furthermore, drug studies with hypnotic, sedative, tranquilizing, or neuromuscular-blocking substances may contain spurious "effects" of reduced atrophy or brain growth simply because they affect motion distinct from true effects of the disease or therapeutic process.
Author	Fischl, Bruce Qureshi, Abid Reuter, Martin Tisdall, M. Dylan van der Kouwe, André J.W. Buckner, Randy L.
Author_xml	– sequence: 1 givenname: Martin orcidid: 0000-0002-2665-9693 surname: Reuter fullname: Reuter, Martin email: mreuter@nmr.mgh.harvard.edu organization: Massachusetts General Hospital, Department of Neurology, 55 Fruit Street, Boston, MA 02114, USA – sequence: 2 givenname: M. Dylan surname: Tisdall fullname: Tisdall, M. Dylan organization: Massachusetts General Hospital, Department of Radiology, A.A. Martinos Center for Biomedical Imaging, 149 Thirteenth Street, Suite 2301, Charlestown, MA 02129, USA – sequence: 3 givenname: Abid surname: Qureshi fullname: Qureshi, Abid organization: Massachusetts General Hospital, Department of Neurology, 55 Fruit Street, Boston, MA 02114, USA – sequence: 4 givenname: Randy L. surname: Buckner fullname: Buckner, Randy L. organization: Massachusetts General Hospital, Department of Radiology, A.A. Martinos Center for Biomedical Imaging, 149 Thirteenth Street, Suite 2301, Charlestown, MA 02129, USA – sequence: 5 givenname: André J.W. surname: van der Kouwe fullname: van der Kouwe, André J.W. organization: Massachusetts General Hospital, Department of Radiology, A.A. Martinos Center for Biomedical Imaging, 149 Thirteenth Street, Suite 2301, Charlestown, MA 02129, USA – sequence: 6 givenname: Bruce surname: Fischl fullname: Fischl, Bruce organization: Massachusetts General Hospital, Department of Radiology, A.A. Martinos Center for Biomedical Imaging, 149 Thirteenth Street, Suite 2301, Charlestown, MA 02129, USA
BackLink	https://www.ncbi.nlm.nih.gov/pubmed/25498430$$D View this record in MEDLINE/PubMed
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SubjectTerms	Adult Aging Algorithms Atrophy Bias Biomarkers Brain Brain research Correlation analysis Cortex Cortical gray matter estimates Estimates Gray Matter - anatomy & histology Head Head motion Head motions Head Movements - physiology Humans Huntingtons disease Hydration Image acquisition Image Interpretation, Computer-Assisted - methods Image processing Image Processing, Computer-Assisted Imaging Linear Models Magnetic resonance imaging Magnetic Resonance Imaging - methods Medical services Movement disorders MRI Neuroimaging Quality Control Software packages Spurious effect Substantia grisea Thickness Volume
Title	Head motion during MRI acquisition reduces gray matter volume and thickness estimates
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