2006
DOI: 10.1002/cmr.a.20052
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MRI atlas of human white matter

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Cited by 3 publications
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“…It was thresholded with the default threshold value of 0.2. Masks were created for studying specific tracts of interest using the JHU Atlas (Ling & Rumpel, 2006), binarized, and mean FA, MD and RD values were extracted from the tracts of each participant. Tracts of interests are presented in Figure 1.…”
Section: Methodsmentioning
confidence: 99%
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“…It was thresholded with the default threshold value of 0.2. Masks were created for studying specific tracts of interest using the JHU Atlas (Ling & Rumpel, 2006), binarized, and mean FA, MD and RD values were extracted from the tracts of each participant. Tracts of interests are presented in Figure 1.…”
Section: Methodsmentioning
confidence: 99%
“…White matter tracts and grey matter structures of interest. Top panel: white matter tracts of interest (JHU Atlas; Ling and Rumpel, 2006): Yellow: superior cerebellar peduncle, Red: ILF/IFOF, Green: AF/SLF, Blue: Fornix. Bottom panel: grey matter regions of interest: Blue: hippocampus, Orange: putamen, Red: thalamus, Green: caudate nucleus.…”
Section: Methodsmentioning
confidence: 99%
“…Inferences were performed using whole-brain family-wise corrected p -values with a threshold set at p < 0.05, at the cluster level (cluster forming threshold at p < 0.0001 uncorrected rather than p < 0.001, in order to favor parsimony in the construction of the model; k = number of voxels in the cluster). For anatomical labeling, the Harvard-Oxford Cortical structural atlas for gray matter ( Frazier et al., 2005 ), and the John Hopkins University (JHU) white matter tractography atlas ( Ling and Rumpel, 2006 ) were used.…”
Section: Methodsmentioning
confidence: 99%
“…4 ), segmented region of interests (ROIs) of the CC (i.e. genu, body and splenium) were extracted using the John Hopkins University DTI-based white-matter atlas ( Ling and Rumpel, 2006 ; Wakana et al , 2007 ; Hua et al , 2008 ). ROIs were then warped back into native space using concatenated, and inversed, linear and non-linear transformations that registered anatomical images to standard template space ( Fig.…”
Section: Methodsmentioning
confidence: 99%