Apr 01, 2008 · In conclusion, we have developed stereotaxic white matter atlases in the ICBM-152 (ICBM-DTI-81) coordinates and the software to utilize the atlas. This atlas can be used to associate white matter lesions to specific white matter structures using stereotaxic coordinates.
Nicola Moscufo, Dorothy B Wakefield, Dominik S Meier, Michele Cavallari, Charles RG Guttmann, William B White, and Leslie Wolfson. 2018. “Longitudinal microstructural changes of cerebral white matter and their association with mobility performance in older persons.” PLoS One, 13, 3, Pp. e0194051.
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For quantification white matter microstructure across subjects, the FA images from all subjects were registered to the white matter atlas JHU ICBM-DTI-81 (Mori et al. 2008). The white matter skeleton was then extracted using tract-based spatial statistics (TBSS) (Fig. 3A). white matter tracts are categorized into commissural (interhemispheric ... The atlas contains 32 grey matter structures and 10 white matter structures. This is the same data as used in Eickhoff’s Anatomy Toolbox v1.5. The atlas is based on the microscopic and quantitative histological examination of ten human post-mortem brains. Aug 31, 2010 · Significant clusters from the FA analysis were separately masked and labeled with reference to the JHU ICBM-DTI-81 white-matter labels (36, 37). Forty-four subjects had usable data for 11 h of DTI analysis.

Population-averaged atlas of the macroscale human structural connectome and its network topology Fang-Cheng Yeha ,b *, Sandip Panesara, David Fernandesa, Antonio Meolac, Masanori Yoshinod, In the ICBM-DTI-81 white-matter labels atlas, 48 white matter tract labels were created by hand segmentation of a standard-space average of diffusion MRI tensor maps from 81 subjects; mean age 39 (18:59), M:42, F: 39. The diffusion data was kindly provided by the ICBM DTI workgroup. The ICBM DTI-81 Atlas is a stereotaxic probabilistic white matter atlas that fuses DTI-based white matter information with an anatomical template (ICBM-152). This atlas is based on probabilistic tensor maps obtained from 81 normal subjects acquired under an initiative of the International Consortium of Brain Mapping (ICBM).

Jan 21, 2016 · JHU ICBM labels 1mm. Contributed by jbwexler on Jan. 21, 2016. Collection: JHU DTI-based white-matter ... API · Github · Cognitive Atlas ... Jul 01, 2014 · Read "MICROSTRUCTURAL WHITE MATTER CHANGES UNDERLYING COGNITIVE IMPAIRMENTS IN AMYOTROPHIC LATERAL SCLEROSIS: AN IN VIVO STUDY USING DTI, Alzheimer's and Dementia" on DeepDyve, the largest online rental service for scholarly research with thousands of academic publications available at your fingertips. Jul 01, 2014 · Read "MICROSTRUCTURAL WHITE MATTER CHANGES UNDERLYING COGNITIVE IMPAIRMENTS IN AMYOTROPHIC LATERAL SCLEROSIS: AN IN VIVO STUDY USING DTI, Alzheimer's and Dementia" on DeepDyve, the largest online rental service for scholarly research with thousands of academic publications available at your fingertips. • Segmentation is the process to label/ identify voxels in native T1 space as • Gray matter • White matter • CSF • Other (skull, dura, fat, background, etc…) • Segmentation is an automated process that separates tissue types with mixture model cluster analysis based on… 1. Voxel intensities 2. Incorrect ICBM-DTI-81 Atlas Orientation and White Matter Labels . By Torsten eRohlfing. Cite . BibTex; Full citation ... The ICBM DTI-81 Atlas is a stereotaxic probabilistic white matter atlas that fuses DTI-based white matter information with an anatomical template (ICBM-152). This atlas is based on probabilistic tensor maps obtained from 81 normal subjects acquired under an initiative of the International Consortium of Brain Mapping (ICBM).

Jan 22, 2016 · The skeletal regions showing a significant intergroup difference were defined by the Johns Hopkins University (JHU)-ICBM-DTI-81 WM labels atlas and the JHU white matter tractography atlas in MNI ... Waxholm Space mouse brain atlas (diffusion tensor imaging) Critical addition to Waxholm Space online mouse brain atlas. Averaged values of DTI indices in 9 white matter structures. - T1, T2* contrast - RGB color map , Use the middle mouse button to add to the label. Use the right mouse button to delete from the label. If this was your own subject, you would want to make sure you save your edits by going to File --> Label --> Save Label but it's not necessary for this tutorial. To load the label in tksurfer, first load the subject (in another terminal window). , Free video editing software with voice overwere averaged over 250 runs. JHULabel corresponds to the ICBM-DTI-81 white-matter label atlas and and JHUTract to the JHU white-matter tractography atlas. AUC: area under the receiver operating characteristic (ROC) curve. White matter tract atlas ROI Summary measures We registered the FA image from the JHU DTI atlas (Mori et al., 2008) to each subject using a previously described mutual information based elastic registration algorithm (Leow et al., 2007). We then applied the deformation to the stereotaxic JHU “Eve” WM atlas labels

THOMAS (Thalamus optimized multi-atlas segmentation) is a thalamic nuclei segmentation method based on 7T white matter nulled MP-RAGE which has been manually segmented by a trained neuroradiologist, following the Morel atlas. This atlas has been generated by label fusion of the 20 atlases warped to MNI space from a local averaged template space.

Icbm dti 81 white matter labels atlas

was specified in FSL’s FEAT tool. Twenty-one white matter tracts in the cerebrum were investigated in our analysis, as defined by the ICBM-DTI-81 white matter labels atlas, and the Johns Hopkins University white matter tractography atlas (JHU-ICBM-tracts-maxprob; Hua et al., 2008; Mori, Wakana, Nagae-Poetscher, &
connectivity in meditation practitioners is particularly rare. We thus acquired diffusion tensor imaging (DTI) data of high angular and spatial resolution and used atlas-based tract mapping methods to investigate white matter fiber characteristics in a well-matched sample of long-term meditators and controls (n=54). A broad Dec 14, 2019 · Adolescence is a critical time of physiological, cognitive, and social development. It is also a time of increased risk-taking and vulnerability for psychopathology. White matter (WM) changes during adolescence have been better elucidated in the last decade, but how WM is impacted by psychopathology during this time remains unclear. Here, we examined the link between WM microstructure and ...
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Jan 14, 2020 · In patients with chronic migraine, they observed significant decreased axial diffusivity compared with those with episodic migraine in 38 white matter regions from the Johns Hopkins University ICBM-DTI-81 White-Matter Atlas.
The DTI metrics were evaluated over 48 white-matter regions of the JHU-ICBM-DTI-81 white-matter labels atlas, and reproducibility errors were assessed. We found that relative to the DTI model, FWE signifi- cantly reduced reproducibility errors in most areas tested. There are two white-matter atlases, both kindly provided by Dr. Susumu Mori, Laboratory of Brain Anatomical MRI, Johns Hopkins University. In the ICBM-DTI-81 white-matter labels atlas, 50 white matter tract labels were created by hand segmentation of a standard-space average of diffusion MRI tensor maps from 81 subjects; mean age 39 (18:59), M:42, F: 39.
Sep 10, 2019 · To compare the structural changes in BD patients with and without suicidal ideation, we selected the CC as the region of interest (ROI). The CC mask was defined according to JHU ICBM-DTI-81 WM labels atlas contained in MRIcron, which included the genu, body, and splenium of the CC. Statistical analysis
For quantification white matter microstructure across subjects, the FA images from all subjects were registered to the white matter atlas JHU ICBM-DTI-81 (Mori et al. 2008). The white matter skeleton was then extracted using tract-based spatial statistics (TBSS) (Fig. 3A). white matter tracts are categorized into commissural (interhemispheric ... Enter the password to open this PDF file: Cancel OK. File name:-
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The corpus callosum mask contained binary masks from subregions, i.e., genu, body, and splenium, taken from the ICBM-DTI-81 white matter labels atlas (31, 32). Volumes of the thalamus and the ...
The atlas and structure maps were created using nonrigid groupwise registration and label-transfer techniques. Comparison and Validation: The generated atlas was compared against other atlases to study the population-specific trends. Results: The atlas-based comparison indicated a signifi cant difference between the global size of Indian and ... The ICBM-DTI-81 atlas (Mori et al., 2008; Oishi et al., 2008) 1 provides perhaps the most widely used reference coordinate system for group analyses of diffusion tensor MR images. The atlas comprises, among other data, structural images (e.g., T 2 -weighted), scalar maps of diffusion (e.g., fractional anisotropy), and a map of manually labeled major white matter fiber tracts.
Dec 01, 2010 · Working with FreeSurfer ROIs surfer.nmr.mgh.harvard.edu Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. If you continue browsing the site, you agree to the use of cookies on this website.
The corpus callosum is the largest white matter structure in the brain, and it is the most consistently reported to be atypical in diffusion tensor imaging studies of autism spectrum disorder. In individuals with typical development, the corpus callosum is known to undergo a protracted development from childhood through young adulthood. However, no study has longitudinally examined the ... Jul 01, 2014 · Read "MICROSTRUCTURAL WHITE MATTER CHANGES UNDERLYING COGNITIVE IMPAIRMENTS IN AMYOTROPHIC LATERAL SCLEROSIS: AN IN VIVO STUDY USING DTI, Alzheimer's and Dementia" on DeepDyve, the largest online rental service for scholarly research with thousands of academic publications available at your fingertips.
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Jun 19, 2017 · Brain pathology is relatively unexplored in chronic obstructive pulmonary disease (COPD). This study is a comprehensive investigation of grey matter (GM) and white matter (WM) changes and how these relate to disease severity and cognitive function. T1-weighted and fluid-attenuated inversion recovery images were acquired for 31 stable COPD patients (FEV1 52.1% pred., PaO2 10.1 kPa) and 24 age ...
pipeline during DTI analysis. Image (A) shows the original DW image, while (B) shows the brain extracted DW image. Image (C) visualizes the FA image which was created through tensor tting. Image (D) is of the FA tract-invariant skeleton used for further statistical analysis. 44 5.5 ICBM-DTI-81 white-matter labels, with 48 white matter structures The corpus callosum is the largest white matter structure in the brain, and it is the most consistently reported to be atypical in diffusion tensor imaging studies of autism spectrum disorder. In individuals with typical development, the corpus callosum is known to undergo a protracted development from childhood through young adulthood. However, no study has longitudinally examined the ...
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The Harvard Brain Atlas, based on a 1x1x1.5 mm resolution 3D SPGR (spoiled gradient-recalled acquisition) scan of a 25 year old, normal subject, was enhanced by anisotropic diffusion filtering (Kikinis et al., 1996), before being segmented into 150 hand-labeled regions, which include white matter tracts as well as major neuroanatomic structures.
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MRI Atlas of Human White Matter remains the only atlas to provide detailed anatomy of human brain white matter. Knowledge of this anatomy via diffusion tensor imaging (DTI)greatly enhances our understanding of brain function and neural connectivity. Diffusion tensor imaging offers a unique opportunity to characterize the trajectories of white matter fiber bundles noninvasively in the brain. Whole brain tractography studies routinely generate up to half million tracts per brain. The tracts serve as edges in an extremely large 3D graph with up to 1 million nodes.
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Dec 14, 2019 · Adolescence is a critical time of physiological, cognitive, and social development. It is also a time of increased risk-taking and vulnerability for psychopathology. White matter (WM) changes during adolescence have been better elucidated in the last decade, but how WM is impacted by psychopathology during this time remains unclear. Here, we examined the link between WM microstructure and ...
White matter deficits underlie the loss of consciousness level and predict recovery outcome in disorders of consciousness ... of the ICBM-DTI-81 white matter atlas ... ./autoaq -i pvals.nii.gz -t 0.95 -o report.txt -a "JHU White-Matter Tractography Atlas" The command will write temporary files to the directory from where it is called, hence it needs to be called from a directory to which the user has writing permissions.
radial diffusivity, and AXD: axial diffusivity), derived either using a DTI model or a FWE model. The DTI metrics were evaluated over 48 white-matter regions of the JHU-ICBM-DTI-81 white-matter labels atlas, and reproducibility errors were assessed. We found that relative to the DTI model, FWE signifi-
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pipeline during DTI analysis. Image (A) shows the original DW image, while (B) shows the brain extracted DW image. Image (C) visualizes the FA image which was created through tensor tting. Image (D) is of the FA tract-invariant skeleton used for further statistical analysis. 44 5.5 ICBM-DTI-81 white-matter labels, with 48 white matter structures "We are pleased to make our white matter atlas available. The JHU-MNI-ss atlas, which is often called "Eve Atlas", is based on a single-subject data as described in Oishi et al, 2009. There are co-registered T1 (MPRAGE), T2, and DTI images as well as white matter parcellation map (WMPM).
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Twenty-one white matter tracts in the cerebrum were investigated in our analysis, as defined by the ICBM-DTI-81 white matter labels atlas, and the Johns Hopkins University white matter tractography atlas (JHU-ICBM-tracts-maxprob; Hua et al., 2008, Mori et al., 2005, Wakana et al., 2007), which are both available in FSL. The JHU atlas was ...
Jan 22, 2016 · The skeletal regions showing a significant intergroup difference were defined by the Johns Hopkins University (JHU)-ICBM-DTI-81 WM labels atlas and the JHU white matter tractography atlas in MNI ...
Diffusion tensor imaging (DTI) is a sensitive, non-invasive technique for assessing white matter micro-structure in vivo. Here, we used DTI to evaluate whether differences in microstructure within white matter tracts connecting visual motion and nausea-associated non-visual gray matter regions distinguishes
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The corpus callosum is the largest white matter structure in the brain, and it is the most consistently reported to be atypical in diffusion tensor imaging studies of autism spectrum disorder. In individuals with typical development, the corpus callosum is known to undergo a protracted development from childhood through young adulthood. However, no study has longitudinally examined the ... Apr 01, 2008 · In conclusion, we have developed stereotaxic white matter atlases in the ICBM-152 (ICBM-DTI-81) coordinates and the software to utilize the atlas. This atlas can be used to associate white matter lesions to specific white matter structures using stereotaxic coordinates.
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Diffusion tensor imaging offers a unique opportunity to characterize the trajectories of white matter fiber bundles noninvasively in the brain. Whole brain tractography studies routinely generate up to half million tracts per brain. The tracts serve as edges in an extremely large 3D graph with up to 1 million nodes. This article presents an algorithm for the automatic identification of selected white matter tracts. It extracts fibers using the FACT algorithm and finds cortical gy- ral labels using a multi-atlas deformable registration scheme. Tracts are identified as the fibers passing between selected cortical labels.
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