Literature DB >> 25498430

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

Martin Reuter1, M Dylan Tisdall2, Abid Qureshi3, Randy L Buckner2, André J W van der Kouwe2, Bruce Fischl4.   

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.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Bias; Cortical gray matter estimates; Head motion; MRI; Quality control; Spurious effect; Thickness; Volume

Mesh:

Substances:

Year:  2014        PMID: 25498430      PMCID: PMC4300248          DOI: 10.1016/j.neuroimage.2014.12.006

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  29 in total

1.  Normalized accurate measurement of longitudinal brain change.

Authors:  S M Smith; N De Stefano; M Jenkinson; P M Matthews
Journal:  J Comput Assist Tomogr       Date:  2001 May-Jun       Impact factor: 1.826

2.  Optimized single-slab three-dimensional spin-echo MR imaging of the brain.

Authors:  J P Mugler; S Bao; R V Mulkern; C R Guttmann; R L Robertson; F A Jolesz; J R Brookeman
Journal:  Radiology       Date:  2000-09       Impact factor: 11.105

3.  Longitudinal magnetic resonance imaging studies of older adults: a shrinking brain.

Authors:  Susan M Resnick; Dzung L Pham; Michael A Kraut; Alan B Zonderman; Christos Davatzikos
Journal:  J Neurosci       Date:  2003-04-15       Impact factor: 6.167

4.  Manifestations of early brain recovery associated with abstinence from alcoholism.

Authors:  Andreas J Bartsch; György Homola; Armin Biller; Stephen M Smith; Heinz-Gerd Weijers; Gerhard A Wiesbeck; Mark Jenkinson; Nicola De Stefano; László Solymosi; Martin Bendszus
Journal:  Brain       Date:  2007-01       Impact factor: 13.501

5.  Cortical surface-based analysis. II: Inflation, flattening, and a surface-based coordinate system.

Authors:  B Fischl; M I Sereno; A M Dale
Journal:  Neuroimage       Date:  1999-02       Impact factor: 6.556

6.  Neurobiological basis of head motion in brain imaging.

Authors:  Ling-Li Zeng; Danhong Wang; Michael D Fox; Mert Sabuncu; Dewen Hu; Manling Ge; Randy L Buckner; Hesheng Liu
Journal:  Proc Natl Acad Sci U S A       Date:  2014-04-07       Impact factor: 11.205

7.  A tale of two factors: what determines the rate of progression in Huntington's disease? A longitudinal MRI study.

Authors:  H Diana Rosas; Martin Reuter; Gheorghe Doros; Stephanie Y Lee; Tyler Triggs; Keith Malarick; Bruce Fischl; David H Salat; Steven M Hersch
Journal:  Mov Disord       Date:  2011-05-24       Impact factor: 10.338

8.  Impact of in-scanner head motion on multiple measures of functional connectivity: relevance for studies of neurodevelopment in youth.

Authors:  Theodore D Satterthwaite; Daniel H Wolf; James Loughead; Kosha Ruparel; Mark A Elliott; Hakon Hakonarson; Ruben C Gur; Raquel E Gur
Journal:  Neuroimage       Date:  2012-01-02       Impact factor: 6.556

9.  Spurious group differences due to head motion in a diffusion MRI study.

Authors:  Anastasia Yendiki; Kami Koldewyn; Sita Kakunoori; Nancy Kanwisher; Bruce Fischl
Journal:  Neuroimage       Date:  2013-11-21       Impact factor: 6.556

10.  Volumetric navigators for prospective motion correction and selective reacquisition in neuroanatomical MRI.

Authors:  M Dylan Tisdall; Aaron T Hess; Martin Reuter; Ernesta M Meintjes; Bruce Fischl; André J W van der Kouwe
Journal:  Magn Reson Med       Date:  2011-12-28       Impact factor: 4.668

View more
  168 in total

1.  Joint reconstruction of white-matter pathways from longitudinal diffusion MRI data with anatomical priors.

Authors:  Anastasia Yendiki; Martin Reuter; Paul Wilkens; H Diana Rosas; Bruce Fischl
Journal:  Neuroimage       Date:  2015-12-21       Impact factor: 6.556

2.  Assessing the performance of different DTI motion correction strategies in the presence of EPI distortion correction.

Authors:  Paul A Taylor; A Alhamud; Andre van der Kouwe; Muhammad G Saleh; Barbara Laughton; Ernesta Meintjes
Journal:  Hum Brain Mapp       Date:  2016-07-20       Impact factor: 5.038

3.  Brain Heterogeneity in Schizophrenia and Its Association With Polygenic Risk.

Authors:  Dag Alnæs; Tobias Kaufmann; Dennis van der Meer; Aldo Córdova-Palomera; Jaroslav Rokicki; Torgeir Moberget; Francesco Bettella; Ingrid Agartz; Deanna M Barch; Alessandro Bertolino; Christine L Brandt; Simon Cervenka; Srdjan Djurovic; Nhat Trung Doan; Sarah Eisenacher; Helena Fatouros-Bergman; Lena Flyckt; Annabella Di Giorgio; Beathe Haatveit; Erik G Jönsson; Peter Kirsch; Martina J Lund; Andreas Meyer-Lindenberg; Giulio Pergola; Emanuel Schwarz; Olav B Smeland; Tiziana Quarto; Mathias Zink; Ole A Andreassen; Lars T Westlye
Journal:  JAMA Psychiatry       Date:  2019-07-01       Impact factor: 21.596

4.  Reproducible Evaluation of Diffusion MRI Features for Automatic Classification of Patients with Alzheimer's Disease.

Authors:  Junhao Wen; Jorge Samper-González; Simona Bottani; Alexandre Routier; Ninon Burgos; Thomas Jacquemont; Sabrina Fontanella; Stanley Durrleman; Stéphane Epelbaum; Anne Bertrand; Olivier Colliot
Journal:  Neuroinformatics       Date:  2021-01

5.  TRActs constrained by UnderLying INfant anatomy (TRACULInA): An automated probabilistic tractography tool with anatomical priors for use in the newborn brain.

Authors:  Lilla Zöllei; Camilo Jaimes; Elie Saliba; P Ellen Grant; Anastasia Yendiki
Journal:  Neuroimage       Date:  2019-05-24       Impact factor: 6.556

6.  Cortical Structure and Cognition in Infants and Toddlers.

Authors:  Jessica B Girault; Emil Cornea; Barbara D Goldman; Shaili C Jha; Veronica A Murphy; Gang Li; Li Wang; Dinggang Shen; Rebecca C Knickmeyer; Martin Styner; John H Gilmore
Journal:  Cereb Cortex       Date:  2020-03-21       Impact factor: 5.357

7.  Prospective motion correction with volumetric navigators (vNavs) reduces the bias and variance in brain morphometry induced by subject motion.

Authors:  M Dylan Tisdall; Martin Reuter; Abid Qureshi; Randy L Buckner; Bruce Fischl; André J W van der Kouwe
Journal:  Neuroimage       Date:  2015-12-02       Impact factor: 6.556

8.  Head motion: the dirty little secret of neuroimaging in psychiatry

Authors:  Carolina Makowski; Martin Lepage; Alan C. Evans
Journal:  J Psychiatry Neurosci       Date:  2019-01-01       Impact factor: 6.186

9.  The C677T variant in MTHFR modulates associations between brain integrity, mood, and cognitive functioning in old age.

Authors:  Florence F Roussotte; Xue Hua; Katherine L Narr; Gary W Small; Paul M Thompson
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2017-04

10.  Development and aging of cortical thickness correspond to genetic organization patterns.

Authors:  Anders M Fjell; Håkon Grydeland; Stine K Krogsrud; Inge Amlien; Darius A Rohani; Lia Ferschmann; Andreas B Storsve; Christian K Tamnes; Roser Sala-Llonch; Paulina Due-Tønnessen; Atle Bjørnerud; Anne Elisabeth Sølsnes; Asta K Håberg; Jon Skranes; Hauke Bartsch; Chi-Hua Chen; Wesley K Thompson; Matthew S Panizzon; William S Kremen; Anders M Dale; Kristine B Walhovd
Journal:  Proc Natl Acad Sci U S A       Date:  2015-11-02       Impact factor: 11.205

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.