Literature DB >> 30639840

Customized head molds reduce motion during resting state fMRI scans.

Jonathan D Power1, Benjamin M Silver2, Melanie R Silverman3, Eliana L Ajodan4, Dienke J Bos5, Rebecca M Jones6.   

Abstract

Head motion causes artifacts in functional magnetic resonance imaging (fMRI) scans, a problem especially relevant for task-free resting state paradigms and for developmental, aging, and clinical populations. In a cohort spanning 7-28 years old (mean age 15) we produced customized head-anatomy-specific Styrofoam molds for each subject that inserted into an MRI head coil. We scanned these subjects under two conditions: using our standard procedure of packing the head coil with foam padding about the head to reduce head motion, and using the customized molds to reduce head motion. In 12 of 13 subjects, the molds reduced head motion throughout the scan and reduced the fraction of a scan with substantial motion (i.e., volumes with motion notably above baseline levels of motion). Motion was reduced in all 6 head position estimates, especially in rotational, left-right, and superior-inferior directions. Motion was reduced throughout the full age range studied, including children, adolescents, and young adults. In terms of the fMRI data itself, quality indices improved with the head mold on, scrubbing analyses detected less distance-dependent artifact in scans with the head mold on, and distant-dependent artifact was less evident in both the entire scan and also during only low-motion volumes. Subjects found the molds comfortable. Head molds are thus effective tools for reducing head motion, and motion artifacts, during fMRI scans.
Copyright © 2019 Elsevier Inc. All rights reserved.

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Year:  2019        PMID: 30639840     DOI: 10.1016/j.neuroimage.2019.01.016

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


  20 in total

1.  Distinctions among real and apparent respiratory motions in human fMRI data.

Authors:  Jonathan D Power; Charles J Lynch; Benjamin M Silver; Marc J Dubin; Alex Martin; Rebecca M Jones
Journal:  Neuroimage       Date:  2019-07-22       Impact factor: 6.556

Review 2.  Defining Individual-Specific Functional Neuroanatomy for Precision Psychiatry.

Authors:  Caterina Gratton; Brian T Kraus; Deanna J Greene; Evan M Gordon; Timothy O Laumann; Steven M Nelson; Nico U F Dosenbach; Steven E Petersen
Journal:  Biol Psychiatry       Date:  2019-11-07       Impact factor: 13.382

3.  Investigating the effects of healthy cognitive aging on brain functional connectivity using 4.7 T resting-state functional magnetic resonance imaging.

Authors:  Stanislau Hrybouski; Ivor Cribben; John McGonigle; Fraser Olsen; Rawle Carter; Peter Seres; Christopher R Madan; Nikolai V Malykhin
Journal:  Brain Struct Funct       Date:  2021-02-18       Impact factor: 3.270

4.  Advancing motion denoising of multiband resting-state functional connectivity fMRI data.

Authors:  John C Williams; Philip N Tubiolo; Jacob R Luceno; Jared X Van Snellenberg
Journal:  Neuroimage       Date:  2022-01-13       Impact factor: 6.556

5.  A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligence.

Authors:  Emily J Allen; Ghislain St-Yves; Yihan Wu; Jesse L Breedlove; Jacob S Prince; Logan T Dowdle; Matthias Nau; Brad Caron; Franco Pestilli; Ian Charest; J Benjamin Hutchinson; Thomas Naselaris; Kendrick Kay
Journal:  Nat Neurosci       Date:  2021-12-16       Impact factor: 28.771

6.  Characteristics of respiratory measures in young adults scanned at rest, including systematic changes and "missed" deep breaths.

Authors:  Jonathan D Power; Charles J Lynch; Marc J Dubin; Benjamin M Silver; Alex Martin; Rebecca M Jones
Journal:  Neuroimage       Date:  2019-10-05       Impact factor: 6.556

7.  Improving precision functional mapping routines with multi-echo fMRI.

Authors:  Charles J Lynch; Immanuel Elbau; Conor Liston
Journal:  Curr Opin Behav Sci       Date:  2021-04-22

8.  High-resolution fMRI at 7 Tesla: challenges, promises and recent developments for individual-focused fMRI studies.

Authors:  Olivia Viessmann; Jonathan R Polimeni
Journal:  Curr Opin Behav Sci       Date:  2021-03-17

Review 9.  Dissecting diagnostic heterogeneity in depression by integrating neuroimaging and genetics.

Authors:  Amanda M Buch; Conor Liston
Journal:  Neuropsychopharmacology       Date:  2020-08-11       Impact factor: 8.294

Review 10.  Autism spectrum disorder.

Authors:  Catherine Lord; Traolach S Brugha; Tony Charman; James Cusack; Guillaume Dumas; Thomas Frazier; Emily J H Jones; Rebecca M Jones; Andrew Pickles; Matthew W State; Julie Lounds Taylor; Jeremy Veenstra-VanderWeele
Journal:  Nat Rev Dis Primers       Date:  2020-01-16       Impact factor: 52.329

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