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GapMap Frontal to Temporal (v9.2)

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DataCite Commons2021-07-20 更新2025-04-15 收录
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https://kg.ebrains.eu/search/instances/Dataset/6e0c6897-7ecf-451e-a9ad-d3e96bcc7b45
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This dataset contains the “GapMap Frontal to Temporal" in the individual, single subject template of the MNI Colin 27 as well as the MNI ICBM 152 2009c nonlinear asymmetric reference space. In order to provide whole-brain coverage for the cortex within the Julich-Brain Atlas, yet uncharted parts of the frontal cortex have been combined to the brain region “GapMap Frontal to Temporal”. The distributions were modeled so that probabilistic gap maps were computed in analogy to other maps of the Julich-Brain Atlas. The probabilistic map of “GapMap Frontal to Temporal” is provided in NifTi format for each hemisphere in the reference space. The Julich-Brain atlas relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps for these structures. New maps are continuously replacing parts of “GapMap Frontal to Temporal” with progress in mapping. Other available data versions of Gap Frontal to Temporal: Amunts et al. (2020) [Data set, v9.0] [DOI: 10.25493/KRRN-E62](https://doi.org/10.25493%2FKRRN-E62) Amunts et al. (2020) [Data set, v9.1] [DOI: 10.25493/468P-A99](https://doi.org/10.25493%2F468P-A99) The most probable delineation of GapMap Frontal to Temporal derived from the calculation of a maximum probability map of all currently released Julich-Brain brain structures can be found here: Amunts et al. (2020) [Data set, v2.2] [DOI: 10.25493/TAKY-64D](https://doi.org/10.25493/TAKY-64D) Amunts et al. (2020) [Data set, v2.4] [DOI: 10.25493/A7Y0-NX9](https://doi.org/10.25493%2FA7Y0-NX9)
提供机构:
EBRAINS
创建时间:
2020-10-03
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