cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25493/a8n6-fk5
title: Probabilistic cytoarchitectonic map of anterior cingulate Area s24a (sAAC) (v20.1)

description: This dataset contains the distinct cytoarchitectonic probability map of human subgenual cingulate Area s24a (sAAC) in the individual, single subject template of the MNI Colin 27 and the MNI ICBM 152 nonlinear asymmetric reference space, as part of the Julich-Brain atlas. The area was identified using a quantitative cytoarchitectonic analysis of cell-body-stained histological sections in both hemispheres of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. The maps show, for each of the reference spaces, the probability that a given voxel has of belonging to Area s24a (sAAC). Data is provided in the NifTi format. The Julich-Brain atlas relies on a modular, flexible and adaptive framework containing workflows to create probabilistic brain maps. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets.
DOI: 10.25493/vj6e-2ye
title: Probabilistic cytoarchitectonic map of anterior cingulate Area s24b (sACC) (v20.1)

description: This dataset contains the distinct cytoarchitectonic probability map of human subgenual cingulate Area s24b (sACC) in the individual, single subject template of the MNI Colin 27 and the MNI ICBM 152 nonlinear asymmetric reference space, as part of the Julich-Brain atlas. The area was identified using a quantitative cytoarchitectonic analysis of cell-body-stained histological sections in both hemispheres of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. The maps show, for each of the reference spaces, the probability that a given voxel has of belonging to Area s24b (sACC). Data is provided in the NifTi format. The Julich-Brain atlas relies on a modular, flexible and adaptive framework containing workflows to create probabilistic brain maps. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets.
DOI: 10.25493/t4c4-sy8
title: Probabilistic cytoarchitectonic map of the human Corpus geniculatum mediale (CGM, MGB, metathalamus) (v10.0)

description: This dataset contains cytoarchitectonic probability maps of the human Corpus geniculatum mediale (CGM, MGB, metathalamus, from here on called MGB) of the metathalamus in the single subject template of the MNI Colin 27 and the MNI ICBM 152 reference space, as part of the Julich-Brain atlas. The nucleus was identified using cytoarchitectonic analysis on cell-body-stained histological sections of ten human postmortem brains obtained from the body donor program of the University of Düsseldorf. The maps show the probability to belong to the MGB for each voxel of the reference spaces. Data is provided in the NifTi format. The Julich-Brain atlas relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets.
DOI: 10.25493/c6c6-cvh
title: Probabilistic map of the anterior amygdaloid area of the centromedial amygdala (CM.AAA) (v8.2)

description: This dataset CM.AAA contains the distinct cytoarchitectonic subdivision, anterior amygdaloid area (AAA), of the centromedial amygdaloid group (CM) 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 anterior amygdaloid 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 CM.AAA. The probability map of CM.AAA 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 [Amunts et. al 2020]. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets (e.g. AAA was previously assigned to the superficial amygdala group). Available coordinate spaces: • MNI ICBM 152 (2009c Nonlinear Asymmetric) • Colin 27 (1998, cropped) The map of area CM.AAA is part of the centromedial amygdaloid group (CM), which was also published as a probabilistic map of the Julich-Brain cytoarchitectonic Atlas. For technical reasons, this finer parcellation is only representable via individual probabilistic maps due to the spatial resolution of the reference space, i.e., there is no MPM available including area CM.AAA.
DOI: 10.25493/h5qd-vrv
title: Probabilistic map of the central nucleus of the centromedial amygdala (CM.Ce) (v8.2)

description: This dataset CM.Ce contains the distinct cytoarchitectonic subdivision, central nucleus (Ce), of the centromedial amygdaloid group (CM) 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 central nucleus 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 CM.Ce. The probability map of CM.Ce 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 [Amunts et. al. 2020]. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets. Available coordinate spaces: • MNI ICBM 152 (2009c Nonlinear Asymmetric) • Colin 27 (1998, cropped) The map of the nucleus CM.Ce is a part of the centromedial amygdaloid group (CM), which was also published as a probabilistic map of the Julich-Brain cytoarchitectonic Atlas. For technical reasons, this finer parcellation is only representable via individual probabilistic maps due to the spatial resolution of the reference space, i.e., there is no MPM available including CM.Ce.
DOI: 10.25493/wm0r-8dh
title: Probabilistic map of the medial nucleus of the centromedial amygdala (CM.Me) (v8.2)

description: This dataset CM.Me contains the distinct cytoarchitectonic subdivision, medial nucleus (Me), of the centromedial amygdaloid group (CM) 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 medial nucleus 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 CM.Me. The probability map of CM.Me 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 [Amunts et. al. 2020]. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets. Available coordinate spaces: • MNI ICBM 152 (2009c Nonlinear Asymmetric) • Colin 27 (1998, cropped) The map of area CM.Me is a part of the centromedial amygdaloid group (CM), which was also published as a probabilistic map of the Julich-Brain cytoarchitectonic Atlas. For technical reasons, this finer parcellation is only representable via individual probabilistic maps due to the spatial resolution of the reference space, i.e., there is no MPM available including area CM.Me.
DOI: 10.25493/3sna-3v2
title: Probabilistic map of the intermediate central fiber masses of the internal intermediate fiber masses of the amygdala (IF.ice) (v8.2)

description: This dataset IF.ice contains the distinct intermediate central fiber masses (ice) of the internal intermediate fiber masses of the amygdala (IF) 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 intermediate central fiber masses were identified on the basis of the topographic location of these fibers in relation to the cytoarchitectonic subdivisions of the amygdala in 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 analysis were then mapped to both reference spaces, where each voxel was assigned the probability to belong to IF.ice. The probability map of IF.ice 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 [Amunts et. al. 2020]. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets. Available coordinate spaces: • MNI ICBM 152 (2009c Nonlinear Asymmetric) • Colin 27 (1998, cropped) The map of fibers IF.ice is a part of the internal intermediate fiber masses of the amygdala (IF), which was also published as a probabilistic map of the Julich-Brain cytoarchitectonic Atlas. For technical reasons, this finer parcellation is only representable via individual probabilistic maps due to the spatial resolution of the reference space, i.e., there is no MPM available including fibers IF.ice.
DOI: 10.25493/2qvd-avm
title: Probabilistic map of the intermediate orolateral fiber masses of the internal intermediate fiber masses of the amygdala (IF.iol) (v8.2)

description: This dataset IF.iol contains the distinct intermediate orolateral fiber masses (iol) of the internal intermediate fiber masses of the amygdala (IF) 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 intermediate orolateral fiber masses were identified on the basis of the topographic location of these fibers in relation to the cytoarchitectonic subdivisions of the amygdala in 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 analysis were then mapped to both reference spaces, where each voxel was assigned the probability to belong to IF.iol. The probability map of IF.iol 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 [Amunts et. al. 2020]. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets. Available coordinate spaces: • MNI ICBM 152 (2009c Nonlinear Asymmetric) • Colin 27 (1998, cropped) The map of fibers IF.iol is a part of the internal intermediate fiber masses of the amygdala (IF), which was also published as a probabilistic map of the Julich-Brain cytoarchitectonic Atlas. For technical reasons, this finer parcellation is only representable via individual probabilistic maps due to the spatial resolution of the reference space, i.e., there is no MPM available including fibers IF.iol.
DOI: 10.25493/z292-mb3
title: Probabilistic map of the basolateral nucleus of the laterobasal group (LB.Bl) (v8.2)

description: This dataset LB.Bl contains the distinct cytoarchitectonic subdivision, basolateral nucleus (Bl) of the laterobasal amygdaloid group (LB), 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 basolateral nucleus 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 LB.Bl. The probability map of LB.Bl 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 [Amunts et. al 2020]. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets. Available coordinate spaces: • MNI ICBM 152 (2009c Nonlinear Asymmetric) • Colin 27 (1998, cropped) The map of LB.Bl is part of the laterobasal amygdaloid group (LB) which was also published as a probabilistic map of the Julich-Brain cytoarchitectonic Atlas. For technical reasons, this finer parcellation is only representable via individual probabilistic maps due to the spatial resolution of the reference space, i.e., there is no MPM available including area LB.Bl.
DOI: 10.25493/anx5-f5r
title: Probabilistic map of the basomedial nucleus of the laterobasal group (LB.Bm) (v8.2)

description: This dataset LB.Bm contains the distinct cytoarchitectonic subdivision, basomedial nucleus (Bm), of the laterobasal amygdaloid group (LB), 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 basomedial nucleus 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 LB.Bm. The probability map of LB.Bm 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 [Amunts et. al 2020]. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets. Available coordinate spaces: • MNI ICBM 152 (2009c Nonlinear Asymmetric) • Colin 27 (1998, cropped) The map of LB.Bm is part of the laterobasal amygdaloid group (LB) which was also published as a probabilistic map of the Julich-Brain cytoarchitectonic Atlas. For technical reasons, this finer parcellation is only representable via individual probabilistic maps due to the spatial resolution of the reference space, i.e., there is no MPM available including LB.Bm.
DOI: 10.25493/n8wn-a9u
title: Probabilistic map of the lateral nucleus of the laterobasal group (LB.La) (v8.2)

description: This dataset LB.La contains the distinct cytoarchitectonic subdivision, lateral nucleus (La), of the laterobasal amygdaloid group (LB), 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 lateral nucleus 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 LB.La. The probability map of LB.La 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 [Amunts et. al 2020]. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets. Available coordinate spaces: • MNI ICBM 152 (2009c Nonlinear Asymmetric) • Colin 27 (1998, cropped) The map of LB.La is part of the laterobasal amygdaloid group (LB) which was also published as a probabilistic map of the Julich-Brain cytoarchitectonic Atlas. For technical reasons, this finer parcellation is only representable via individual probabilistic maps due to the spatial resolution of the reference space, i.e., there is no MPM available including LB.La.
DOI: 10.25493/5erb-4gg
title: Probabilistic map of the paralaminar nucleus of the laterobasal group (LB.Pl) (v8.2)

description: This dataset LB.Pl contains the distinct cytoarchitectonic subdivision, paralaminar nucleus (Pl), of the laterobasal amygdaloid group (LB), 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 paralaminar nucleus 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 LB.Pl. The probability map of LB.Pl 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 [Amunts et. al 2020]. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets. Available coordinate spaces: • MNI ICBM 152 (2009c Nonlinear Asymmetric) • Colin 27 (1998, cropped) The map of LB.Pl is part of the laterobasal amygdaloid group (LB) which was also published as a probabilistic map of the Julich-Brain cytoarchitectonic Atlas. For technical reasons, this finer parcellation is only representable via individual probabilistic maps due to the spatial resolution of the reference space, i.e., there is no MPM available including LB.Pl.
DOI: 10.25493/keq1-z5s
title: Probabilistic map of the intermediate caudomedial fiber masses of the internal medial fiber masses of the amygdala (MF.icm) (v8.2)

description: This dataset MF.icm contains the distinct the intermediate caudomedial fiber masses (icm) of the internal medial fiber masses of the amygdala (MF) 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 intermediate caudomedial fiber masses were identified on the basis of the topographic location of these fibers in relation to the cytoarchitectonic subdivisions of the amygdala in 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 analysis were then mapped to both reference spaces, where each voxel was assigned the probability to belong to MF.icm. The probability map of MF.icm 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 [Amunts et. al. 2020]. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets. Available coordinate spaces: • MNI ICBM 152 (2009c Nonlinear Asymmetric) • Colin 27 (1998, cropped) The map of MF.icm is a part of the internal medial fiber masses of the amygdala (MF) which was also published as a probabilistic map of the Julich-Brain cytoarchitectonic Atlas. For technical reasons, this finer parcellation is only representable via individual probabilistic maps due to the spatial resolution of the reference space, i.e., there is no MPM available including fibers MF.icm.
DOI: 10.25493/ghkb-k1k
title: Probabilistic map of the Lamella medialis of the internal medial fiber masses of the amygdala (MF.lm) (v8.2)

description: This dataset MF.lm contains the distinct the Lamella medialis (lm) of the internal medial fiber masses of the amygdala (MF) 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 Lamella medialis was identified on the basis of the topographic location of these fibers in relation to the cytoarchitectonic subdivisions of the amygdala in 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 analysis were then mapped to both reference spaces, where each voxel was assigned the probability to belong to MF.lm. The probability map of MF.lm 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 [Amunts et. al. 2020]. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets. Available coordinate spaces: • MNI ICBM 152 (2009c Nonlinear Asymmetric) • Colin 27 (1998, cropped) The map of MF.lm is a part of the internal medial fiber masses of the amygdala (MF) which was also published as a probabilistic map of the Julich-Brain cytoarchitectonic Atlas. For technical reasons, this finer parcellation is only representable via individual probabilistic maps due to the spatial resolution of the reference space, i.e., there is no MPM available including fibers MF.lm.