Human Brain White Matter Atlas: Identification and Assignment of Common Anatomical Structures in Superficial White Matter

By K. Oishi, Karl Zilles, Katrin Amunts, A. Faria, Hangyi Jiang, Xin Li, K. Akhter, Kegang Hua, R. Woods, Arthur W. Toga and 9 more. NeuroImage, 2008

550 citations recorded by the source corpus.

Structural delineation and assignment are the fundamental steps in understanding the anatomy of the human brain. The white matter has been structurally defined in the past only at its core regions (deep white matter). However, the most peripheral white matter areas, which are interleaved between the cortex and the deep white matter, have lacked clear anatomical definitions and parcellations. We used axonal fiber alignment information from diffusion tensor imaging (DTI) to delineate the peripheral white matter, and investigated its relationship with the cortex and the deep white matter. Using DTI data from 81 healthy subjects, we identified nine common, blade-like anatomical regions, which were further parcellated into 21 subregions based on the cortical anatomy. Four short association fiber tracts connecting adjacent gyri (U-fibers) were also identified reproducibly among the healthy population. We anticipate that this atlas will be useful resource for atlas-based white matter anatomical studies.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/d474131121e434714c242cce0ec165e06df62e0e

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Citations in the corpus

The Angular Gyrus (2013, background): “Several interesting questions that warrant further investigations are finally emphasized.”
Brain templates and atlases (2012, background): “The last decade has seen a rapid growth in the availability of white-matter fiber tract atlases that can be used to examine fMRIbased studies of functional connectivity (Catani and Thiebaut de Schotten, 2008; Hua et al., 2008; Lawes et al., 2008; Mori et al., 2005, 2008; Oishi et al., 2008; Verhoeve”
Multi-Contrast Human Neonatal Brain Atlas: Application to Normal Neonate Development Analysis (2011, unknown): “Many boundaries in this paper were consistent with our three previous papers to establish the adult atlases (Mori et al., 2008; Oishi et al., 2009; Oishi et al., 2008) Oishi et al.”
Content-based image retrieval for brain MRI: An image-searching engine and population-based analysis to utilize past clinical data for future diagnosis (2015, methodology): “The 52 “ coarse ” peripheral regions (Oishi, 2008) were subsegmented in each native individual space to sep-aratethe cortex,thewhitematterbeneaththecortex, and thecerebrospi-nal ﬂ uid (CSF), using tissue maps from SPM8, which resulted in the ﬁ nal 211 ROIs for each participant.”
Short frontal lobe connections of the human brain. (2012, methodology): “The surface landmarks (i.e., sulci and gyri) and cytoarchitectonic areas (Ono et al., 1990; Catani et al., in press) are used to describe the anatomy of the dissected tracts and their projections.”
Monkey to human comparative anatomy of the frontal lobe association tracts. (2012, methodology): “A two-ROIs approach was also used to extract the frontal aslant tract connections from the Broca territory to the supplementary motor area (SMA) and PreSMA (Lawes et al., 2008; Oishi et al., 2008).”
Investigating White Matter Development in Infancy and Early Childhood using Myelin Water Faction and Relaxation Time Mapping (2012, methodology): “Matched axially-oriented slices through the mean MWF, T1 and T2 maps from each 9 months and above, T2 was only calculated in voxels with a corresponding T1 less than 35 For the white matter tract masks, including genu, body and splenium of the corpus callosum, cingulum, corona radiata, internal caps”
Atlas-based whole brain white matter analysis using large deformation diffeomorphic metric mapping: Application to normal elderly and Alzheimer’s disease participants (2009, methodology): “Parcellation of the superficially located WM (SWM) was accomplished according to our previous publication (Oishi et al., 2008).”