White-matter microstructural properties of the corpus callosum: test–retest and repositioning effects in two parcellation schemes

Anand, Chaitali; Brandmaier, Andreas M.; Arshad, Muzamil; Lynn, Jonathan; Stanley, Jeffrey A.; Raz, Naftali

doi:10.1007/s00429-019-01981-y

Cited by 5 publications

(7 citation statements)

References 54 publications

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“…The CC is a large and compact WM fiber bundle that has homogenous directionality, that is, without curves or crossing fibers, and consequently, has high anisotropy (Anand et al, 2019; Fabri, 2014; Hasan et al, 2005). For this reason, the CC can be considered as a good reference region in repeatability studies, and where achieving high repeatability is expected.…”

Section: Discussionmentioning

confidence: 99%

Test–retest reliability of diffusion tensor imaging scalars in 5‐year‐olds

Rosberg

Tuulari

Kumpulainen

et al. 2022

Human Brain Mapping

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Diffusion tensor imaging (DTI) has provided great insights into the microstructural features of the developing brain. However, DTI images are prone to several artifacts and the reliability of DTI scalars is of paramount importance for interpreting and generalizing the findings of DTI studies, especially in the younger population. In this study, we investigated the intrascan test–retest repeatability of four DTI scalars: fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) in 5‐year‐old children (N = 67) with two different data preprocessing approaches: a volume censoring pipeline and an outlier replacement pipeline. We applied a region of interest (ROI) and a voxelwise analysis after careful quality control, tensor fitting and tract‐based spatial statistics. The data had three subsets and each subset included 31, 32, or 33 directions thus a total of 96 unique uniformly distributed diffusion encoding directions per subject. The repeatability of DTI scalars was evaluated with intraclass correlation coefficient (ICC(3,1)) and the variability between test and retest subsets. The results of both pipelines yielded good to excellent (ICC(3,1) > 0.75) reliability for most of the ROIs and an overall low variability (<10%). In the voxelwise analysis, FA and RD had higher ICC(3,1) values compared to AD and MD and the variability remained low (<12%) across all scalars. Our results suggest high intrascan repeatability in pediatric DTI and lend confidence to the use of the data in future cross‐sectional and longitudinal studies.

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Section: Discussionmentioning

confidence: 99%

Test–retest reliability of diffusion tensor imaging scalars in 5‐year‐olds

Rosberg

Tuulari

Kumpulainen

et al. 2022

Human Brain Mapping

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“…The CC was divided into 10 regions of interest (ROIs), following the scheme described by Björnholm et al ( 2017) and modi-fied by Anand et al (2019). The CC regions were demarcated on the midsagittal slice in the Montreal Neurological Institute (MNI152) standard space using the FMRIB Software Library's FSL view (Jenkinson et al 2012).…”

Section: Segmentation Of the CCmentioning

confidence: 99%

“…This is consistent with increased water mobility in an expanded intra-and extracellular space, and presence of largediameter axons with greater interaxon distances. Thus, in addition to its high reliability (Anand et al 2019), geomT 2IEW emerges as a sensitive index of white matter microstructure suitable for the future in vivo examination of its correlates. In addition, the trend of increasing average axon diameter from the genu to the splenium (LaMantia and Rakic 1990a; Aboitiz et al 1992), mirroring the relative trend observed in the MWF, supports the proposition that MWF reflects myelin content driven potentially by the average diameter of fibers in white matter tissue.…”

Section: Regional Differences In Callosal Microstructurementioning

confidence: 99%

“…Multiecho T 2 imaging (ME-T 2 ) combined with multiple T 2 component fitting is an MRI technique with greater ability in characterizing distinct attributes of the myelin microstructure and provides robust, reliable, and stable indices of the white matter microstructure (Arshad et al 2017;Anand et al 2019). The approach is based on the quantification of multiple T 2 relaxation components reflecting unique physical environments of water mobility in the white matter microstructural components (Carr and Purcell 1954;Meiboom and Gill 1958;MacKay et al 1994;Whittall et al 1997).…”

Section: Introductionmentioning

confidence: 99%

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Microstructure of Human Corpus Callosum across the Lifespan: Regional Variations in Axon Caliber, Density, and Myelin Content

et al. 2020

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The myeloarchitecture of the corpus callosum (CC) is characterized as a mosaic of distinct differences in fiber density of small- and large-diameter axons along the anterior–posterior axis; however, regional and age differences across the lifespan are not fully understood. Using multiecho T2 magnetic resonance imaging combined with multi-T2 fitting, the myelin water fraction (MWF) and geometric-mean of the intra-/extracellular water T2 (geomT2IEW) in 395 individuals (7–85 years; 41% males) were examined. The approach was validated where regional patterns along the CC closely resembled the histology; MWF matched mean axon diameter and geomT2IEW mirrored the density of large-caliber axons. Across the lifespan, MWF exhibited a quadratic association with age in all 10 CC regions with evidence of a positive linear MWF-age relationship among younger participants and minimal age differences in the remainder of the lifespan. Regarding geomT2IEW, a significant linear age × region interaction reflected positive linear age dependence mostly prominent in the regions with the highest density of small-caliber fibers—genu and splenium. In all, these two indicators characterize distinct attributes that are consistent with histology, which is a first. In addition, these results conform to rapid developmental progression of CC myelination leveling in middle age as well as age-related degradation of axon sheaths in older adults.

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“…Generally, the CC parcellation into callosal regions allows for a precise differentiation of motor connectivity and the structural integrity of these tracts in the CC [10]. Thus, the CC parcellation should be so helpful to better understand inter-hemispherical callosal connectivity in patients or healthy subjects [11]. In particular, MRI takes advantage of the macroscopic geometrical arrangement of white matter bundles that it makes capable of generating good CC visualization from the sagittal plane.…”

Section: Introductionmentioning

confidence: 99%

Unsupervised Method Based on Superpixel Segmentation for Corpus Callosum Parcellation in MRI Scans

Jlassi

Barhoumi

Maktouf

2020

Lecture Notes in Computer Science

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In this paper, we introduce an unsupervised method for the parcellation of the Corpus Callosum (CC) from MRI images. Since there are no visible landmarks within the structure that explicit its parcels, non-geometric CC parcellation is a challenging task especially that almost of proposed methods are geometric or data-based. In fact, in order to subdivide the CC from brain sagittal MRI scans, we adopt the probabilistic neural network as a clustering technique. Then, we use a cluster validity measure based on the maximum entropy (Vmep) to obtain the optimal number of classes. After that, we obtain the isolated CC that we parcel automatically using SLIC (Simple Linear Iterative Clustering) as superpixel segmentation technique. The obtained results on two challenging public datasets prove the performance of the proposed method against geometric methods from the state of the art. Indeed, as best as we know, it is the first work that investigates the validation of a CC parcellation method on ground-truth datasets using many objective metrics.

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White-matter microstructural properties of the corpus callosum: test–retest and repositioning effects in two parcellation schemes

Abstract: White-matter microstructural properties of the corpus callosum: Test-retest and repositioning effects in two parcellation schemes. Brain Structure and Function, 224(9),[3373][3374][3375][3376][3377][3378][3379][3380][3381][3382][3383][3384][3385]

Cited by 5 publications

References 54 publications

Test–retest reliability of diffusion tensor imaging scalars in 5‐year‐olds

Test–retest reliability of diffusion tensor imaging scalars in 5‐year‐olds

Microstructure of Human Corpus Callosum across the Lifespan: Regional Variations in Axon Caliber, Density, and Myelin Content

Unsupervised Method Based on Superpixel Segmentation for Corpus Callosum Parcellation in MRI Scans

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