fsl-juelich-histological-atlas – brain atlas based on cyto- and myelo-architectonic segmentations

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A probabilistic atlas created by averaging multi-subject post-mortem cyto- and myelo-architectonic segmentations, performed by the team of Profs Zilles and Amunts at the Research Center Jülich and kindly provided by Simon Eickhoff.

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. The histological volumes of these brains were 3D reconstructed and spatially normalised into the space of the MNI single subject template to create a probabilistic map of each area. For the FSL version of this atlas, these probabilistic maps were then linearly transformed into MNI152 space.

This package is part of FSL.

Rahul S Desikan, Florent Segonne, Bruce Fischl, Brian T Quinn, Bradford C Dickerson, Deborah Blacker, Randy L Buckner, Anders M Dale, R Paul Maguire, Bradley T Hyman, Marilyn S Albert, Ronald J Killiany (2006). An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. *Neuroimage, 31: 968–980, *, . [Abstract] [DOI]
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Distribution Base version Our version Architectures
Datasets (data)   5.0.5-1 i386, amd64, sparc


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