3 datasets found
  1. e

    GapMap Frontal to Temporal

    • search.kg.ebrains.eu
    Updated Jul 11, 2020
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    Katrin Amunts; Hartmut Mohlberg; Sebastian Bludau; Peter Pieperhoff (2020). GapMap Frontal to Temporal [Dataset]. http://doi.org/10.25493/468P-A99
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    Dataset updated
    Jul 11, 2020
    Authors
    Katrin Amunts; Hartmut Mohlberg; Sebastian Bludau; Peter Pieperhoff
    Description

    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.

  2. e

    GapMap Frontal I

    • search.kg.ebrains.eu
    Updated Sep 26, 2020
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    Katrin Amunts; Hartmut Mohlberg; Sebastian Bludau; Peter Pieperhoff (2020). GapMap Frontal I [Dataset]. http://doi.org/10.25493/K6EV-C42
    Explore at:
    Dataset updated
    Sep 26, 2020
    Authors
    Katrin Amunts; Hartmut Mohlberg; Sebastian Bludau; Peter Pieperhoff
    Description

    This dataset contains the “GapMap Frontal I” 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 I”. 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 I” 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 I” with progress in mapping.

  3. e

    GapMap Frontal to Temporal I

    • search.kg.ebrains.eu
    Updated Jul 11, 2020
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    Katrin Amunts; Hartmut Mohlberg; Sebastian Bludau; Peter Pieperhoff (2020). GapMap Frontal to Temporal I [Dataset]. http://doi.org/10.25493/TWNR-351
    Explore at:
    Dataset updated
    Jul 11, 2020
    Authors
    Katrin Amunts; Hartmut Mohlberg; Sebastian Bludau; Peter Pieperhoff
    Description

    This dataset contains the “GapMap Frontal to Temporal I" 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 I”. 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 I” 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 I” with progress in mapping.

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Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Katrin Amunts; Hartmut Mohlberg; Sebastian Bludau; Peter Pieperhoff (2020). GapMap Frontal to Temporal [Dataset]. http://doi.org/10.25493/468P-A99

GapMap Frontal to Temporal

Explore at:
Dataset updated
Jul 11, 2020
Authors
Katrin Amunts; Hartmut Mohlberg; Sebastian Bludau; Peter Pieperhoff
Description

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.

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