Package 'ggsegJHU'

Title: JHU White Matter Atlases for the 'ggseg' Ecosystem
Description: JHU and ICBM white matter atlases for the 'ggseg' ecosystem. Includes the JHU probabilistic tract atlas (Hua et al. 2008), built from its probabilistic maps as a tract atlas with a centerline per tract, and the ICBM-DTI-81 white matter labels (Mori et al. 2005). Both are coregistered to the FreeSurfer 'cvs_avg35_inMNI152' template so 2D slices show cortical reference outlines, and ship as 'ggseg_atlas' objects with 3D geometry for use with 'ggseg3d'.
Authors: Athanasia Mo Mowinckel [aut, cre] (ORCID: <https://orcid.org/0000-0002-5756-0223>), Didac Vidal-PiƱeiro [aut] (ORCID: <https://orcid.org/0000-0001-9997-9156>)
Maintainer: Athanasia Mo Mowinckel <[email protected]>
License: MIT + file LICENSE
Version: 3.0.0
Built: 2026-10-12 23:24:37 UTC
Source: https://github.com/ggsegverse/ggsegJHU

Help Index


JHU White Matter Tract Atlas

Description

JHU probabilistic white matter tract atlas with 20 tracts. Each tract is reduced to a principal-curve centerline, drawn as a 3D tube for ggseg3d::ggseg3d() and as a 2D projection over an anatomical silhouette.

Usage

jhu_tracts()

Details

Tracts are built from the atlas's probabilistic maps rather than FSL's distributed winner-take-all volume, in which tracts sharing a corridor erode each other: the temporal part of the superior longitudinal fasciculus survives there as 76 voxels of a bundle spanning several centimetres. Left and right of a tract share a colour, since they are the same anatomy.

Value

A ggseg.formats::ggseg_atlas object (tract).

References

Hua K, et al. (2008). Tract probability maps in stereotaxic spaces: analyses of white matter anatomy and tract-specific quantification. NeuroImage, 39(1):336-347. doi:10.1016/j.neuroimage.2007.07.053

See Also

Other ggseg_atlases: jhu_wm()

Other tract_atlases: jhu_wm()

Examples

jhu_tracts()
plot(jhu_tracts())

ICBM-DTI-81 White Matter Atlas

Description

White matter label atlas derived from the ICBM DTI-81 probabilistic atlas of 81 normal subjects, with 48 regions projected onto the FreeSurfer cvs_avg35_inMNI152 anatomical grid for cortical-reference context and smoother boundaries.

Usage

jhu_wm()

Value

A ggseg.formats::ggseg_atlas object (subcortical).

References

Mori S, et al. (2005). MRI Atlas of Human White Matter. Elsevier. ISBN: 978-0444517418

Wakana S, et al. (2007). Reproducibility of quantitative tractography methods applied to cerebral white matter. NeuroImage, 36(3):630-644. doi:10.1016/j.neuroimage.2007.02.049

See Also

Other ggseg_atlases: jhu_tracts()

Other tract_atlases: jhu_tracts()

Examples

jhu_wm()
plot(jhu_wm())