Reliability of MRI-derived cortical and subcortical morphometric measures: Effects of pulse sequence, voxel geometry, and parallel imaging

Wonderlick, Julien S.; Ziegler, David A.; Hosseini-Varnamkhasti, P.; Locascio, Joseph J.; Bakkour, Akram; Kouwe, André van der; Triantafyllou, Christina; Corkin, Suzanne; Dickerson, Bradford C.

doi:10.1016/j.neuroimage.2008.10.037

Cited by 208 publications

(198 citation statements)

References 24 publications

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“…SBM is a recently-developed and highly reliable MRI-derived neuroanatomical measure, which overcomes the shortcomings of volume-based analysis, and is unaffected by voxel geometry [42]. In this study, we found thinning of the bilateral occipital lobe, lingual gyrus, cuneus, and lunate cortex in amblyopia.…”

Section: Discussionmentioning

confidence: 48%

Association of Optic Radiation Integrity with Cortical Thickness in Children with Anisometropic Amblyopia

Cui

et al. 2016

Neurosci. Bull.

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Previous studies have indicated regional abnormalities of both gray and white matter in amblyopia. However, alterations of cortical thickness associated with changes in white matter integrity have rarely been reported. In this study, structural magnetic resonance imaging and diffusion tensor imaging (DTI) data were obtained from 15 children with anisometropic amblyopia and 15 age-and gender-matched children with normal sight. Combining DTI and surface-based morphometry, we examined a potential linkage between disrupted white matter integrity and altered cortical thickness. The fractional anisotropy (FA) values in the optic radiations (ORs) of children with anisometropic amblyopia were lower than in controls (P \ 0.05). The cortical thickness in amblyopic children was lower than controls in the following subregions: lingual cortex, lateral occipitotemporal gyrus, cuneus, occipital lobe, inferior parietal lobe, and temporal lobe (P \ 0.05, corrected), but was higher in the calcarine gyrus (P \ 0.05, corrected). Node-by-node correlation analysis of changes in cortical thickness revealed a significant association between a lower FA value in the OR and diminished cortical thickness in the following subregions: medial lingual cortex, lateral occipitotemporal gyrus, lateral, superior, and medial occipital cortex, and lunate cortex. We also found a relationship between changes of cortical thickness and white matter OR integrity in amblyopia. These findings indicate that developmental changes occur simultaneously in the OR and visual cortex in amblyopia, and provide key information on complex damage of brain networks in anisometropic amblyopia. Our results also support the hypothesis that the pathogenesis of anisometropic amblyopia is neurodevelopmental.

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Section: Discussionmentioning

confidence: 48%

Association of Optic Radiation Integrity with Cortical Thickness in Children with Anisometropic Amblyopia

Cui

et al. 2016

Neurosci. Bull.

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“…It is well documented that using parallel imaging has the effect of creating variable spatial signal-to-noise ratio (SNR), being particularly worse in the center of the image (14). However, Wonderlick et al (15) discussed that, with conservative parallel imaging factors, there is a ''negligible effect on reliability of morphometric measures'' when examining the MPRAGE sequence. In addition, with respect to SNR, it should be noted that the use of highly sensitive coils, such as the 32-channel coil employed in the Figure 5.…”

Section: Discussionmentioning

confidence: 99%

Fluid and white matter suppression with the MP2RAGE sequence

Tanner

Gambarota

Kober

et al. 2011

Magnetic Resonance Imaging

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Purpose: To develop a magnetic resonance imaging (MRI) sequence (fluid and white matter suppression, FLAWS) for generating two sets of images from a single acquisition: one with contrast similar to a T1-weighted magnetizationprepared rapid gradient-echo sequence (MPRAGE) for structural definition; the other with nulled white matter (WM) signal intensity, similar to the fast gray matter T1 inversion recovery (FGATIR) sequence, for improved delineation of subcortical brain structures. Materials and Methods:The recently proposed MP2RAGE, which is a modification of the MPRAGE and generates two image sets at different inversion times, was employed to generate the FGATIR-like contrast (FLAWS1) and MPRAGE-like contrast (FLAWS2). Five healthy volunteers were scanned at 3T and brain tissue contrast and contrast-to-noise were compared.Results: FLAWS1 and FLAWS2 exhibited similar tissue contrast and contrast-to-noise as the ''reference'' sequences, FGATIR and MPRAGE, respectively. Synthetic minimum value images generated from FLAWS1 and FLAWS2 provided a gray matter-dominant image.Conclusion: FLAWS provides two coregistered 3D volumes, one with nulled WM signal intensity and another with nulled cerebrospinal fluid. The coregistered nature of the two datasets allows for generating images that might be helpful in segmentation algorithms and clinical diagnosis.

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“…These methods have been demonstrated to show good test-retest reliability across scanner manufacturers and across field strengths (Han et al, 2006;Wonderlick et al, 2009;Reuter et al, 2012), although other studies have shown discrepancies in test-retest reliability (Morey et al, 2010;Gronenschild et al, 2012). It should be noted that the task of automated cortical labelling is extremely challenging.…”

Section: Sources Of Test-retest Variationmentioning

confidence: 99%

Test–retest reliability of structural brain networks from diffusion MRI

et al. 2014

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Structural brain networks constructed from diffusion MRI (dMRI) and tractography have been demonstrated in healthy volunteers and more recently in various disorders affecting brain connectivity. However, few studies have addressed the reproducibility of the resulting networks. We measured the test-retest properties of such networks by varying several factors affecting network construction using ten healthy volunteers who underwent a dMRI protocol at 1.5 T on two separate occasions.Each T 1 -weighted brain was parcellated into 84 regions-of-interest and network connections were identified using dMRI and two alternative tractography algorithms, two alternative seeding strategies, a white matter waypoint constraint and three alternative network weightings. In each case, four common graphtheoretic measures were obtained. Network properties were assessed both node-wise and per network in terms of the intraclass correlation coefficient (ICC) and by comparing within-and between-subject differences.Our findings suggest that test-retest performance was improved when: 1) seeding from white matter, rather than grey; and 2) using probabilistic tractography with a two-fibre model and sufficient streamlines, rather than deterministic tensor tractography. In terms of network weighting, a measure of streamline density produced better test-retest performance than tract-averaged diffusion anisotropy, although it remains unclear which is a more accurate representation of the underlying connectivity. For the best performing configuration, the global within-subject differences were between 3.2% and 11.9% with ICCs between 0.62 and 0.76. The mean nodal within-subject differences were between 5.2% and 24.2% with mean ICCs between 0.46 and 0.62. For 83.3% (70/84) of nodes, the within-subject differences were smaller than betweensubject differences. Overall, these findings suggest that while current techniques produce networks capable of characterising the genuine between-subject differences in connectivity, future work must be undertaken to improve network reliability.

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Reliability of MRI-derived cortical and subcortical morphometric measures: Effects of pulse sequence, voxel geometry, and parallel imaging

Cited by 208 publications

References 24 publications

Association of Optic Radiation Integrity with Cortical Thickness in Children with Anisometropic Amblyopia

Association of Optic Radiation Integrity with Cortical Thickness in Children with Anisometropic Amblyopia

Fluid and white matter suppression with the MP2RAGE sequence

Test–retest reliability of structural brain networks from diffusion MRI

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