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Correction of respiratory artifacts in MRI head motion estimates.
Fair, Damien A; Miranda-Dominguez, Oscar; Snyder, Abraham Z; Perrone, Anders; Earl, Eric A; Van, Andrew N; Koller, Jonathan M; Feczko, Eric; Tisdall, M Dylan; van der Kouwe, Andre; Klein, Rachel L; Mirro, Amy E; Hampton, Jacqueline M; Adeyemo, Babatunde; Laumann, Timothy O; Gratton, Caterina; Greene, Deanna J; Schlaggar, Bradley L; Hagler, Donald J; Watts, Richard; Garavan, Hugh; Barch, Deanna M; Nigg, Joel T; Petersen, Steven E; Dale, Anders M; Feldstein-Ewing, Sarah W; Nagel, Bonnie J; Dosenbach, Nico U F.
Afiliación
  • Fair DA; Department of Behavioral Neuroscience, Oregon Health & Sciences University, Portland, OR, USA; Department of Psychiatry, Oregon Health & Sciences University, Portland, OR, USA; Advanced Imaging Research Center, Oregon Health & Sciences University, Portland, OR, USA. Electronic address: f
  • Miranda-Dominguez O; Department of Behavioral Neuroscience, Oregon Health & Sciences University, Portland, OR, USA.
  • Snyder AZ; Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA; Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA.
  • Perrone A; Department of Behavioral Neuroscience, Oregon Health & Sciences University, Portland, OR, USA.
  • Earl EA; Department of Behavioral Neuroscience, Oregon Health & Sciences University, Portland, OR, USA.
  • Van AN; Department of Biomedical Engineering, Washington University, St. Louis, MO, USA.
  • Koller JM; Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
  • Feczko E; Department of Behavioral Neuroscience, Oregon Health & Sciences University, Portland, OR, USA; Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Sciences University, Portland, OR, USA.
  • Tisdall MD; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • van der Kouwe A; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA.
  • Klein RL; Department of Psychiatry, Oregon Health & Sciences University, Portland, OR, USA.
  • Mirro AE; Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA; Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, USA.
  • Hampton JM; Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
  • Adeyemo B; Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA.
  • Laumann TO; Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
  • Gratton C; Department of Psychology & Neurology, Northwestern University, Chicago, IL, USA.
  • Greene DJ; Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA; Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
  • Schlaggar BL; Kennedy Krieger Institute, Baltimore, MD, USA; Department of Neurology, Johns Hopkins University, Baltimore, MD, USA; Department of Pediatrics, Johns Hopkins University, Baltimore, MD, USA.
  • Hagler DJ; Department of Radiology, University of California San Diego, La Jolla, CA, USA.
  • Watts R; Department of Psychology, Yale University, New Haven, CT, USA.
  • Garavan H; Department of Psychiatry, University of Vermont, Burlington, VT, USA.
  • Barch DM; Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA; Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA; Department of Psychological & Brain Sciences, Washington University, St. Louis, MO, USA.
  • Nigg JT; Department of Behavioral Neuroscience, Oregon Health & Sciences University, Portland, OR, USA; Department of Psychiatry, Oregon Health & Sciences University, Portland, OR, USA.
  • Petersen SE; Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA; Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA; Department of Biomedical Engineering, Washington University, St. Louis, MO, USA; Department of Psychological & Brain Scien
  • Dale AM; Department of Radiology, University of California San Diego, La Jolla, CA, USA; Department of Neurosciences, University of California San Diego, La Jolla, CA, USA.
  • Feldstein-Ewing SW; Department of Psychiatry, Oregon Health & Sciences University, Portland, OR, USA.
  • Nagel BJ; Department of Behavioral Neuroscience, Oregon Health & Sciences University, Portland, OR, USA; Department of Psychiatry, Oregon Health & Sciences University, Portland, OR, USA.
  • Dosenbach NUF; Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA; Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA; Department of Biomedical Engineering, Washington University, St. Louis, MO, USA; Department of Pediatrics, Washington Universi
Neuroimage ; 208: 116400, 2020 03.
Article en En | MEDLINE | ID: mdl-31778819
ABSTRACT
Head motion represents one of the greatest technical obstacles in magnetic resonance imaging (MRI) of the human brain. Accurate detection of artifacts induced by head motion requires precise estimation of movement. However, head motion estimates may be corrupted by artifacts due to magnetic main field fluctuations generated by body motion. In the current report, we examine head motion estimation in multiband resting state functional connectivity MRI (rs-fcMRI) data from the Adolescent Brain and Cognitive Development (ABCD) Study and comparison 'single-shot' datasets. We show that respirations contaminate movement estimates in functional MRI and that respiration generates apparent head motion not associated with functional MRI quality reductions. We have developed a novel approach using a band-stop filter that accurately removes these respiratory effects from motion estimates. Subsequently, we demonstrate that utilizing a band-stop filter improves post-processing fMRI data quality. Lastly, we demonstrate the real-time implementation of motion estimate filtering in our FIRMM (Framewise Integrated Real-Time MRI Monitoring) software package.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Respiración / Imagen por Resonancia Magnética / Artefactos / Movimientos de la Cabeza / Neuroimagen Funcional Límite: Adolescent / Child / Female / Humans / Male Idioma: En Revista: Neuroimage Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2020 Tipo del documento: Article
Texto completo
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Respiración / Imagen por Resonancia Magnética / Artefactos / Movimientos de la Cabeza / Neuroimagen Funcional Límite: Adolescent / Child / Female / Humans / Male Idioma: En Revista: Neuroimage Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2020 Tipo del documento: Article