This dataset contains the distinct architectonic Area TE 1.1 (HESCHL) in the individual, single subject template of the MNI Colin 27 as well as the MNI ICBM 152 2009c nonlinear asymmetric reference space. As part of the Julich-Brain cytoarchitectonic atlas, the area was identified using cytoarchitectonic analysis on cell-body-stained histological sections of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. The results of the cytoarchitectonic analysis were then mapped to both reference spaces, where each voxel was assigned the probability to belong to Area TE 1.1 (HESCHL). The probability map of Area TE 1.1 (HESCHL) is provided in the NifTi format for each brain reference space and hemisphere. The Julich-Brain atlas relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps for these structures. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets. Other available data versions of Area TE 1.1 (HESCHL): Morosan et al. (2018) [Data set, v5.0] DOI: 10.25493/55TY-YS8 Morosan et al. (2019) [Data set, v5.1] DOI: 10.25493/4HA3-BBE Morosan et al. (2020) [Data set, v6.0] DOI: 10.25493/29FC-BCE The most probable delineation of Area TE 1.1 (HESCHL) derived from the calculation of a maximum probability map of all currently released Julich-Brain brain structures can be found here: Amunts et al. (2019) [Data set, v1.13] DOI: 10.25493/Q3ZS-NV6 Amunts et al. (2019) [Data set, v1.18] DOI: 10.25493/8EGG-ZAR Amunts et al. (2020) [Data set, v2.2] DOI: 10.25493/TAKY-64D Amunts et al. (2020) [Data set, v2.4] DOI: 10.25493/A7Y0-NX9 Amunts et al. (2020) [Data set, v2.5] DOI: 10.25493/8JKE-M53 Amunts et al. (2021) [Data set, v2.6] DOI: 10.25493/KJQN-AM0 Amunts et al. (2021) [Data set, v2.9] DOI: 10.25493/VSMK-H94

This dataset contains the distinct architectonic Area TE 1.0 (HESCHL) in the individual, single subject template of the MNI Colin 27 as well as the MNI ICBM 152 2009c nonlinear asymmetric reference space. As part of the Julich-Brain cytoarchitectonic atlas, the area was identified using cytoarchitectonic analysis on cell-body-stained histological sections of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. The results of the cytoarchitectonic analysis were then mapped to both reference spaces, where each voxel was assigned the probability to belong to Area TE 1.0 (HESCHL). The probability map of Area TE 1.0 (HESCHL) is provided in the NifTi format for each brain reference space and hemisphere. The Julich-Brain atlas relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps for these structures. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets. Other available data versions of Area TE 1.0 (HESCHL): Morosan et al. (2018) [Data set, v5.0] DOI: 10.25493/CP2T-FYT Morosan et al. (2019) [Data set, v5.1] DOI: 10.25493/MV3G-RET Morosan et al. (2020) [Data set, v6.0] DOI: 10.25493/AKAE-ZWP The most probable delineation of Area TE 1.0 (HESCHL) derived from the calculation of a maximum probability map of all currently released Julich-Brain brain structures can be found here: Amunts et al. (2019) [Data set, v1.13] DOI: 10.25493/Q3ZS-NV6 Amunts et al. (2019) [Data set, v1.18] DOI: 10.25493/8EGG-ZAR Amunts et al. (2020) [Data set, v2.2] DOI: 10.25493/TAKY-64D Amunts et al. (2020) [Data set, v2.4] DOI: 10.25493/A7Y0-NX9 Amunts et al. (2020) [Data set, v2.5] DOI: 10.25493/8JKE-M53 Amunts et al. (2021) [Data set, v2.6] DOI: 10.25493/KJQN-AM0 Amunts et al. (2021) [Data set, v2.9] DOI: 10.25493/VSMK-H94

This dataset contains the distinct architectonic Area TE 1.2 (HESCHL) in the individual, single subject template of the MNI Colin 27 as well as the MNI ICBM 152 2009c nonlinear asymmetric reference space. As part of the Julich-Brain cytoarchitectonic atlas, the area was identified using cytoarchitectonic analysis on cell-body-stained histological sections of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. The results of the cytoarchitectonic analysis were then mapped to both reference spaces, where each voxel was assigned the probability to belong to Area TE 1.2 (HESCHL). The probability map of Area TE 1.2 (HESCHL) is provided in the NifTi format for each brain reference space and hemisphere. The Julich-Brain atlas relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps for these structures. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets. Other available data versions of Area TE 1.2 (HESCHL): Morosan et al. (2018) [Data set, v5.0] DOI: 10.25493/T1WA-MBT Morosan et al. (2019) [Data set, v5.1] DOI: 10.25493/R382-617 Morosan et al. (2020) [Data set, v6.0] DOI: 10.25493/7VDY-R10 The most probable delineation of Area TE 1.2 (HESCHL) derived from the calculation of a maximum probability map of all currently released Julich-Brain brain structures can be found here: Amunts et al. (2019) [Data set, v1.13] DOI: 10.25493/Q3ZS-NV6 Amunts et al. (2019) [Data set, v1.18] DOI: 10.25493/8EGG-ZAR Amunts et al. (2020) [Data set, v2.2] DOI: 10.25493/TAKY-64D Amunts et al. (2020) [Data set, v2.4] DOI: 10.25493/A7Y0-NX9 Amunts et al. (2020) [Data set, v2.5] DOI: 10.25493/8JKE-M53 Amunts et al. (2021) [Data set, v2.6] DOI: 10.25493/KJQN-AM0 Amunts et al. (2021) [Data set, v2.9] DOI: 10.25493/VSMK-H94

This dataset contains the distinct architectonic Area TE 1.0 (HESCHL) in the individual, single subject template of the MNI Colin 27 as well as the MNI ICBM 152 2009c nonlinear asymmetric reference space. As part of the Julich-Brain cytoarchitectonic atlas, the area was identified using cytoarchitectonic analysis on cell-body-stained histological sections of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. The results of the cytoarchitectonic analysis were then mapped to both reference spaces, where each voxel was assigned the probability to belong to Area TE 1.0 (HESCHL). The probability map of Area TE 1.0 (HESCHL) is provided in the NifTi format for each brain reference space and hemisphere. The Julich-Brain atlas relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps for these structures. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets. Other available data versions of Area TE 1.0 (HESCHL): Morosan et al. (2018) [Data set, v5.0] DOI: 10.25493/CP2T-FYT Morosan et al. (2019) [Data set, v5.1] DOI: 10.25493/MV3G-RET The most probable delineation of Area TE 1.0 (HESCHL) derived from the calculation of a maximum probability map of all currently released Julich-Brain brain structures can be found here: Amunts et al. (2019) [Data set, v1.13] DOI: 10.25493/Q3ZS-NV6 Amunts et al. (2019) [Data set, v1.18] DOI: 10.25493/8EGG-ZAR Amunts et al. (2020) [Data set, v2.2] DOI: 10.25493/TAKY-64D Amunts et al. (2020) [Data set, v2.4] DOI: 10.25493/A7Y0-NX9 Amunts et al. (2020) [Data set, v2.5] DOI: 10.25493/8JKE-M53 Amunts et al. (2021) [Data set, v2.6] DOI: 10.25493/KJQN-AM0

This dataset contains the distinct architectonic Area TE 1.1 (HESCHL) in the individual, single subject template of the MNI Colin 27 as well as the MNI ICBM 152 2009c nonlinear asymmetric reference space. As part of the Julich-Brain cytoarchitectonic atlas, the area was identified using cytoarchitectonic analysis on cell-body-stained histological sections of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. The results of the cytoarchitectonic analysis were then mapped to both reference spaces, where each voxel was assigned the probability to belong to Area TE 1.1 (HESCHL). The probability map of Area TE 1.1 (HESCHL) is provided in the NifTi format for each brain reference space and hemisphere. The Julich-Brain atlas relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps for these structures. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets. Other available data versions of Area TE 1.1 (HESCHL): Morosan et al. (2018) [Data set, v5.0] DOI: 10.25493/55TY-YS8 Morosan et al. (2019) [Data set, v5.1] DOI: 10.25493/4HA3-BBE The most probable delineation of Area TE 1.1 (HESCHL) derived from the calculation of a maximum probability map of all currently released Julich-Brain brain structures can be found here: Amunts et al. (2019) [Data set, v1.13] DOI: 10.25493/Q3ZS-NV6 Amunts et al. (2019) [Data set, v1.18] DOI: 10.25493/8EGG-ZAR Amunts et al. (2020) [Data set, v2.2] DOI: 10.25493/TAKY-64D Amunts et al. (2020) [Data set, v2.4] DOI: 10.25493/A7Y0-NX9 Amunts et al. (2020) [Data set, v2.5] DOI: 10.25493/8JKE-M53 Amunts et al. (2021) [Data set, v2.6] DOI: 10.25493/KJQN-AM0

This dataset contains the distinct architectonic Area TE 1.2 (HESCHL) in the individual, single subject template of the MNI Colin 27 as well as the MNI ICBM 152 2009c nonlinear asymmetric reference space. As part of the Julich-Brain cytoarchitectonic atlas, the area was identified using cytoarchitectonic analysis on cell-body-stained histological sections of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. The results of the cytoarchitectonic analysis were then mapped to both reference spaces, where each voxel was assigned the probability to belong to Area TE 1.2 (HESCHL). The probability map of Area TE 1.2 (HESCHL) is provided in the NifTi format for each brain reference space and hemisphere. The Julich-Brain atlas relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps for these structures. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets. Other available data versions of Area TE 1.2 (HESCHL): Morosan et al. (2018) [Data set, v5.0] DOI: 10.25493/T1WA-MBT Morosan et al. (2019) [Data set, v5.1] DOI: 10.25493/R382-617 The most probable delineation of Area TE 1.2 (HESCHL) derived from the calculation of a maximum probability map of all currently released Julich-Brain brain structures can be found here: Amunts et al. (2019) [Data set, v1.13] DOI: 10.25493/Q3ZS-NV6 Amunts et al. (2019) [Data set, v1.18] DOI: 10.25493/8EGG-ZAR Amunts et al. (2020) [Data set, v2.2] DOI: 10.25493/TAKY-64D Amunts et al. (2020) [Data set, v2.4] DOI: 10.25493/A7Y0-NX9 Amunts et al. (2020) [Data set, v2.5] DOI: 10.25493/8JKE-M53 Amunts et al. (2021) [Data set, v2.6] DOI: 10.25493/KJQN-AM0

This dataset contains the distinct architectonic Area TE 1.2 (HESCHL) in the individual, single subject template of the MNI Colin 27 as well as the MNI ICBM 152 2009c nonlinear asymmetric reference space. As part of the Julich-Brain cytoarchitectonic atlas, the area was identified using cytoarchitectonic analysis on cell-body-stained histological sections of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. The results of the cytoarchitectonic analysis were then mapped to both reference spaces, where each voxel was assigned the probability to belong to Area TE 1.2 (HESCHL). The probability map of Area TE 1.2 (HESCHL) is provided in the NifTi format for each brain reference space and hemisphere. The Julich-Brain atlas relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps for these structures. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets. Other available data versions of Area TE 1.2 (HESCHL): Morosan et al. (2018) [Data set, v5.0] DOI: 10.25493/T1WA-MBT The most probable delineation of Area TE 1.2 (HESCHL) derived from the calculation of a maximum probability map of all currently released Julich-Brain brain structures can be found here: Amunts et al. (2019) [Data set, v1.13] DOI: 10.25493/Q3ZS-NV6 Amunts et al. (2019) [Data set, v1.18] DOI: 10.25493/8EGG-ZAR Amunts et al. (2020) [Data set, v2.2] DOI: 10.25493/TAKY-64D

This dataset contains the distinct architectonic Area TE 1.1 (HESCHL) in the individual, single subject template of the MNI Colin 27 as well as the MNI ICBM 152 2009c nonlinear asymmetric reference space. As part of the Julich-Brain cytoarchitectonic atlas, the area was identified using cytoarchitectonic analysis on cell-body-stained histological sections of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. The results of the cytoarchitectonic analysis were then mapped to both reference spaces, where each voxel was assigned the probability to belong to Area TE 1.1 (HESCHL). The probability map of Area TE 1.1 (HESCHL) is provided in the NifTi format for each brain reference space and hemisphere. The Julich-Brain atlas relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps for these structures. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets. Other available data versions of Area TE 1.1 (HESCHL): Morosan et al. (2018) [Data set, v5.0] DOI: 10.25493/55TY-YS8 The most probable delineation of Area TE 1.1 (HESCHL) derived from the calculation of a maximum probability map of all currently released Julich-Brain brain structures can be found here: Amunts et al. (2019) [Data set, v1.13] DOI: 10.25493/Q3ZS-NV6 Amunts et al. (2019) [Data set, v1.18] DOI: 10.25493/8EGG-ZAR Amunts et al. (2020) [Data set, v2.2] DOI: 10.25493/TAKY-64D

This dataset contains the distinct architectonic Area TE 1.0 (HESCHL) in the individual, single subject template of the MNI Colin 27 as well as the MNI ICBM 152 2009c nonlinear asymmetric reference space. As part of the Julich-Brain cytoarchitectonic atlas, the area was identified using cytoarchitectonic analysis on cell-body-stained histological sections of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. The results of the cytoarchitectonic analysis were then mapped to both reference spaces, where each voxel was assigned the probability to belong to Area TE 1.0 (HESCHL). The probability map of Area TE 1.0 (HESCHL) is provided in the NifTi format for each brain reference space and hemisphere. The Julich-Brain atlas relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps for these structures. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets. Other available data versions of Area TE 1.0 (HESCHL): Morosan et al. (2018) [Data set, v5.0] DOI: 10.25493/CP2T-FYT The most probable delineation of Area TE 1.0 (HESCHL) derived from the calculation of a maximum probability map of all currently released Julich-Brain brain structures can be found here: Amunts et al. (2019) [Data set, v1.13] DOI: 10.25493/Q3ZS-NV6 Amunts et al. (2019) [Data set, v1.18] DOI: 10.25493/8EGG-ZAR Amunts et al. (2020) [Data set, v2.2] DOI: 10.25493/TAKY-64D

This dataset contains cytoarchitectonic maps of Area TE 1.1 (HESCHL) in the Big Brain dataset [Amunts et al. 2013]. The mappings were created using the semi-automatic method presented in Schleicher et al. 1999, based on coronal histological sections on 1 micron resolution. Mappings are available on approximately every 15-60th section of this region. They were then aligned to the corresponding sections of the 3D reconstructed Big Brain space, using the transformations used in Amunts et al. 2013, kindly provided by Claude Lepage (McGill University). From these delineations, a preliminary 3D map of Area TE 1.1 (HESCHL) has been created by simple interpolation of the coronal contours in the 3D anatomical space of the Big Brain. This map gives a first impression of the location of this area in the Big Brain, and can be viewed in the atlas viewer using the URL below. A full mapping of this area in every histological section using a Deep Learning approach is in progress. Additional information: The reference delineations used for this map are part of the work for the corresponding probabilistic map of Area TE 1.1 (HESCHL) of the JuBrain Cytoarchitectonic Atlas, published in: Amunts et al. (2018) [Data set] DOI: 10.25493/55TY-YS8 Amunts et al. (2019) [Data set, v5.1] DOI: 10.25493/4HA3-BBE In addition, the dataset of the probabilistic cytoarchitectonic map of Area TE 1.1 (HESCHL) is part of the following research publications: Rademacher, J., Morosan, P., Schormann, T., Schleicher, A., Werner, C., Freund, H.-J., & Zilles, K. (2001). Probabilistic Mapping and Volume Measurement of Human Primary Auditory Cortex. NeuroImage, 13(4), 669–683. DOI: 10.1006/nimg.2000.0714 Morosan, P., Rademacher, J., Schleicher, A., Amunts, K., Schormann, T., & Zilles, K. (2001). Human Primary Auditory Cortex: Cytoarchitectonic Subdivisions and Mapping into a Spatial Reference System. NeuroImage, 13(4), 684–701. DOI: 10.1006/nimg.2000.0715