The atlas comprises, among other data, structural images e. Moreover, we found that this relationship was influenced by. The dilated maps were superimposed on the mni 152 t1 template brain. These dti templates were derived using 1065 subjects from the human. Dti data obtained from 81 normal subjects were used for the. Incorrect icbmdti81 atlas orientation and white matter. Twentyone patients with the e200k variant of cjd and 19 controls. Stereotaxic white matter atlas based on diffusion tensor imaging in. Brain white matter structure and comt gene are linked to. Pdf incorrect icbmdti81 atlas orientation and white matter labels. Early progressive changes in white matter integrity are. The anatomical location of significant clusters was detected using the jhu wm tractography atlas and the icbm dti 81 white matter labels atlas. Female versus male direct comparison of dt metrics between males and females is shown in figure 1 and supplementary figures s1 and s2, overlaid onto the fsl mni152 t1 template. To identify the white matter tracts, the johns hopkins university icbmdti81 whitematter labels atlas 39, 40 provided in the fsl toolbox.
In the 2010 version of the icbmdti81 atlas, the following flaws were present. The clusters in the supplementary were listed using fsls autoaq function with the jhu icbmdti81 white matter labels and jhu white matter tractography atlases. The aim of this study was to elucidate changes in cerebral white matter after shunt surgery in idiopathic normal pressure hydrocephalus inph using diffusion tensor imaging dti. Jan 25, 20 in the 2010 version of the icbmdti81 atlas, the following flaws were present. Specific tracts were identified using the jhu icbmdti81 white matter labels atlas mori et al. In the icbmdti81 whitematter labels atlas, 50 white matter tract labels were created by hand segmentation of a standardspace average of diffusion mri.
The presented four cases were selected randomly from our cohort. Constrained spherical deconvolutionbased tractography and. The jhu atlas consists of 48 distinct white matter tracts. For comparison, we obtained the jhu t 2weighted template image and white matter atlas distributed with fsl 4. The icbmdti81 atlas was produced by hand segmentation of a standardspace average of diffusion mri tensor maps from 81 subjects and contains 48 white matter tract labels. The most probable anatomic localization of each significant cluster was determined using the jhuicbmdti81 white matter labels atlas in mni space.
Cerebral white matter disruption in creutzfeldtjakob disease. The dti metrics were evaluated over 48 whitematter regions of the jhu icbmdti81 whitematter labels atlas, and reproducibility errors were assessed. Icbm dti81 white matter parcellation map raw download. In the icbmdti81 whitematter labels atlas, 48 white matter tract labels were created by hand segmentation of a standardspace average of diffusion mri tensor maps from 81 subjects. We also obtained the t 2 weighted mni152 template included with spm8 4, as it defines the coordinate space used for creating the jhu and. Region mni coordinates max z score mean z score median z score sd. Influence of stroke infarct location on functional outcome. There are two whitematter atlases, both kindly provided by dr. The white matter wm tracts were identified with the jhu icbmdti81 whitematter labels atlas in the functional mri of the brain fmrib software library fsl. White matter changes in chronic and episodic migraine. Changes to the septofornical area might play a role in.
The comparison shows that the parcellations of the presented method and the icbmdti81 atlas divide the white matter in partially congruent areas. The impact of cognitive training on cerebral white matter in. The corpus callosum mask contained binary masks from subregions, i. The results were considered significant for p free cluster enhancement tfce method. Gray and whitematter anatomy of absolute pitch possessors. Alterations in brain structure and functional connectivity in. In the icbm dti 81 white matter labels atlas, 50 white matter tract labels were created by hand segmentation of a standardspace average of diffusion mri tensor maps from 81 subjects. Frontiers diffusion tensor imaging dti correlates of. Susumu mori, laboratory of brain anatomical mri, johns hopkins university. For each of the 48 structures reported in the icbmdti81 whitematter labels atlas provided by john hopkins university and implemented in fsl, the extent of involvement was calculated and is reported in. Human prion diseases are known to cause gray matter degeneration in specific cerebral structures, but evidence for white matter involvement is scarce. Diffusion parameters gfa, nqa, and iso from tracts crossing the 11 specified seed regions were used in the analyses.
Table 1 presents the characteristics of the insomnia and control group. Full text genetic effects on white matter integrity in. Twentyeight consecutive inph patients whose symptoms were followed for 1 year after shunt placement and 10 healthy control hc subjects were enrolled. We used dti to test the hypothesis that white matter integrity is disrupted in human cjd during the early stages of the disease. Pdf on jan 25, 20, t rohlfing published incorrect icbmdti81 atlas orientation and white matter labels find, read and cite all the.
Apr 20, 2020 the johns hopkins university jhu icbm dti 81 white matter labels atlas for bilateral slf and uf and the jhu white matter tractography atlas for bilateral af, ilf and ifof in mni space were. The toi were based on the icbm dti 81 white matter labels atlas and the jhu johns hopkins university white matter tractography atlas in the fsl atlas tool and on the mri atlas of human white matter. Tracts were reported according to the nomenclature of the icbm dti 81 white matter labels atlas and johns hopkins university white matter tractography atlas. Nov 22, 2017 to define dlpfc in this study, we integrated bas 9 and 46 whereas we used the icbm dti 81 white matter labels atlas and the jhu white matter tractography atlas implemented in dsi studio to define all other regions of interest. Differential white matter regional alterations in motor. The diffusion data was kindly provided by the icbm dti workgroup. However, this atlas does not cover the whole white matter across brain, so we also employed the johns hopkins university whitematter tractography atlas 41, which contains a lower number of. The most probable anatomic localization of each significant cluster was determined using the jhu icbmdti81 white matter labels atlas in mni space. Tracts shown are those that arose as areas of interest in the literature search, with colour representing the relative amount of times that roi was mentioned. Anatomic structures are identified according to international consortium of brain mapping diffusion tensor imaging icbmdti81 white matter labels and harvardoxford cortical structural atlas. Here we demonstrate a significant correlation between individuals white matter fibertract properties in language areas and participation in an english language immersion program. The johns hopkins university jhu icbmdti81 white matter labels atlas for bilateral slf and uf and the jhu white matter tractography atlas for bilateral af, ilf and ifof in.
Frontiers bluelight therapy following mild traumatic. Majority of unilateral white matter labels on the wrong side of the image coordinate system. Bluelight therapy following mild traumatic brain injury. The john hopkins university jhu icbmdti81 whitematter labels atlas 64 and the jhu white matter tractography atlas 65 were used for. Icbm dti81 atlas the icbm dti81 atlas is a stereotaxic probabilistic white matter atlas that fuses dtibased white matter information with an anatomical template icbm152. In the icbm dti 81 white matter labels atlas, 48 white matter tract labels were created by hand segmentation of a standardspace average of diffusion mri tensor maps from 81 subjects. Icbmdti81 atlas was transformed into the native space of the t1weighted images.
Jan 30, 2017 the aim of this study was to elucidate changes in cerebral white matter after shunt surgery in idiopathic normal pressure hydrocephalus inph using diffusion tensor imaging dti. 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. A change in brain white matter after shunt surgery in. Limbicthalamocortical projections and rewardrelated. Any regions on the wholebrain fa skeleton that showed significant group differences in fa, md, rd, or ad were localized using the johns hopkins university icbmdti81 white matter labels and white matter tractography atlases in fsl. Atlasquery returns the probability and, in the case of the jhu icbm dti 81 atlas, the proportion of voxels in a mask belonging to a region identified in a given atlas. Automated talairach atlas labels for functional brain mapping. However, this atlas does not cover the whole white matter across brain, so we also employed the johns hopkins university white matter tractography atlas 41, which contains a lower number of. Brain white matter structure and comt gene are linked. Genomewide discovered psychosisrisk gene znf804a impacts on. From the results of voxelwise group comparisons, the skeletal regions showing significant intergroup differences were located and labeled anatomically by mapping the fwecorrected statistical map of p icbm dti81 wm labels atlas mori et al.
Brain sciences free fulltext towards the development. Midsagittal anatomy of the column and body of the fornix compared to the size of the corresponding label orange outline of the icbmdti81 atlas overlaid on t1weighted images. To identify the white matter tracts, the johns hopkins university icbmdti81 whitematter labels atlas 39, 40 provided in the fsl toolbox was used. Tract rois as defined by jhu icbm dti81 white matter atlas, shown on the fmrib58fa template, in a sagittal a, coronal b and axial c view. To run for multiple separate regions on a single image image e. Atlasquery returns the probability and, in the case of the jhu icbmdti81 atlas, the proportion of voxels in a mask belonging to a region identified in a given atlas. Fdrcorrected p icbmdti81 atlas clusters with reduced fa were found to be located in the right retrolenticular portion of the internal capsule and the right. We included behavioral and language variants of frontotemporal dementia, corticobasal. Jun 20, 2018 anatomical labels are drawn from the jhu icbm dti 81 white matter labels atlas and retrieved using the fmrib software library fsl atlasquery function. The atlas and associated software are downloadable from go to. Oishi k, zilles k, amunts k, faria a, jiang h, li x, akhter k, hua k, woods r, toga aw, pike gb, rosaneto p, evans a, zhang j, huang h, miller mi, van zijl pc, mazziotta j, mori s.
The toi were based on the icbmdti81 whitematter labels atlas and the jhu johns hopkins university whitematter tractography atlas in the fsl atlas tool and on the mri atlas of human white matter. The icbm dti 81 white matter labels atlas and the johns hopkins university tractography atlas were used within fslview to locate the tracts that displayed significant differences. The human, monkey, mouse and varvet 2d atlas viewers are webbased 2d slice. Statistical significance is determined at p atlas of human white matter and the jhu dtibased white matter atlases included with the fsl software. Cerebral white matter disruption in creutzfeldtjakob. Free water elimination improves testretest reproducibility. The icbm dti81 atlas is a stereotaxic probabilistic white matter atlas that fuses dtibased white matter information with an anatomical template icbm152. Early variations in white matter microstructure and. A framework for creating population specific multimodal brain atlas. Icbm probabilistic atlases the probabilistic atlases are derived from the icbm452 atlas t1weighted mris. Anatomical labels are drawn from the jhu icbmdti81 whitematter labels atlas and retrieved using the fmrib software library fsl atlasquery function. When an altered fa value was detected, rd, md and ad were also tested.
Diffusion tensor imaging and ventricle volume quantification. Fdrcorrected p icbm dti 81 atlas clusters with reduced fa were found to be located in the right retrolenticular portion of the internal capsule and the right. The threshold for significance was set at p icbm dti81 whitematter atlas and jhu whitematter tractography atlas labels were used to label significant voxels and assign a specific tract name. Full text genetic effects on white matter integrity in drug. There are two white matter atlases, both kindly provided by dr. The icbm dti 81 atlas was produced by hand segmentation of a standardspace average of diffusion mri tensor maps from 81 subjects and contains 48 white matter tract labels. In the icbmdti81 whitematter labels atlas, 48 white matter tract. The threshold for significance was set at p icbmdti81 whitematter atlas and jhu whitematter tractography atlas labels were used to label significant voxels and assign a specific tract name. All roi masks were then binarized using fslmaths, with a threshold of 30 being applied to masks for rois that were identified using a probabilistic map i. 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. Full size image as tbss is designed for investigation of voxelwise differences in wm tracts, and only the voxels with the highest fa value in the crosssection of the wm tracts are.
Diffusion tensor imaging in neonatal encephalopathy. Regional dti measures were extracted using the jhu icbmdti81 white matter labels atlas. The icbm452 atlas is an average of t1weighted mris of normal young adult brains. Fifteen white matter regions mislabeled altogether. To identify the white matter tracts, the johns hopkins university icbm dti 81 white matter labels atlas 39, 40 provided in the fsl toolbox was used. This file, and thus the group setting, takes different roles.
Sep 15, 2016 the john hopkins university jhu icbm dti 81 white matter labels atlas 64 and the jhu white matter tractography atlas 65 were used for anatomical labelling of regional differences of dti indices. Frontiers diffusion tensor imaging dti correlates of self. Objective to identify the white matter correlates of apathy and impulsivity in the major syndromes associated with frontotemporal lobar degeneration, using diffusionweighted imaging and data from the pippin picks disease and progressive supranuclear palsy. Tract rois as defined by jhu icbm dti 81 white matter atlas, shown on the fmrib58fa template, in a sagittal a, coronal b and axial c view. For regions of significant differences, fa values were extracted. Jan 19, 2018 regional dti measures were extracted using the jhu icbm dti 81 white matter labels atlas. Tracts were reported according to the nomenclature of the icbmdti81 whitematter labels atlas and johns hopkins university whitematter tractography atlas. This wellknown tool is called atlasquery, and it requires one region per image per run. Anatomy likely mirrored in the leftright anatomical direction.
Stereotaxic white matter atlas based on diffusion tensor imaging in an icbm template. We found that relative to the dti model, fwe significantly reduced reproducibility errors in most areas tested. White matter change with apathy and impulsivity in. Tracts are labeled with reference to the jhu icbm dti 81 white matter labels atlas. Anatomic coordinates of maximal z score values resulting from voxelbased lesion symptom mapping in selected regions identified by the harvardoxford cortical structural atlas and jhu icbmdti81 white matter labels. The comparison shows that the parcellations of the presented method and the icbm dti 81 atlas divide the white matter in partially congruent areas. In the icbmdti81 whitematter labels atlas, 50 white matter tract labels were created by hand segmentation of a standardspace average of diffusion mri tensor maps from 81 subjects.
The anatomical location of significant clusters was determined by reference to the fiber tractbased atlas of human white matter jhu icbm dti 81 white matter labels, jhu white matter tractography atlas, juelich histological atlas, implemented in fsl. Reduced white matter integrity and verbal fluency impairment. In fsl, when we create a design using the graphical interface in feat, or with the command glm, we are given the opportunity to define, at the higherlevel, the group to which each observation belongs. In the files downloaded in 2012, the time stamps for white matter label map and label lookup file but not structural images or readme file have. Incorrect icbmdti81 atlas orientation and white matter labels. When the design is saved, the information from this setting is stored in a text file named something as design. The icbmdti81 white matter labels atlas and the johns hopkins university tractography atlas were used within fslview to locate the tracts that displayed significant differences. All rois were located on either the jhu icbmdti81 whitematter labels or the jhu whitematter tractography atlases. Alterations in brain structure and functional connectivity.
We mapped the clusters to the johns hopkins university icbmdti81 white matter labels atlas and the johns hopkins university white matter tractography atlas provided by. To define dlpfc in this study, we integrated bas 9 and 46 whereas we used the icbmdti81 white matter labels atlas and the jhu white matter tractography atlas implemented in dsi studio to define all other regions of interest. The anatomical location of significant clusters was detected using the jhu wm tractography atlas and the icbmdti81 white matter labels atlas. From the results of voxelwise group comparisons, the skeletal regions showing significant intergroup differences were located and labeled anatomically by mapping the fwecorrected statistical map of p dti81 wm labels atlas mori et al. The fmrib software library fsl provides a tool to query whether regions belong or not to one of various atlases available. Microstructural alterations of white matter in juvenile. White matter abnormalities in adolescents with generalized. 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. Jun 28, 2016 secondlanguage learning in adulthood is a topic of wide interest given globalization, and levels of proficiency are highly variable among individuals. For each of the 48 structures reported in the icbm dti 81 white matter labels atlas provided by john hopkins university and implemented in fsl, the extent of involvement was calculated and is reported in the results tables 3 and 4. The impact of cognitive training on cerebral white matter.
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