cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25493/36fr-c95
title: Probabilistic cytoarchitectonic map of CM (Amygdala) (v6.4)

description: This dataset contains the distinct architectonic CM (Amygdala)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 CM (Amygdala). The probability map of CM (Amygdala) 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 CM (Amygdala): Kedo et al. (2018) [Data set, v6.1] [DOI: 10.25493/X0CV-G7F](https://doi.org/10.25493%2FX0CV-G7F) The most probable delineation of CM (Amygdala) 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](https://doi.org/10.25493%2FQ3ZS-NV6) Amunts et al. (2019) [Data set, v1.18] [DOI: 10.25493/8EGG-ZAR](https://doi.org/10.25493%2F8EGG-ZAR) Amunts et al. (2020) [Data set, v2.2] [DOI: 10.25493/TAKY-64D](https://doi.org/10.25493%2FTAKY-64D)
DOI: 10.25493/fpap-1qb
title: Probabilistic cytoarchitectonic map of Area PF (IPL) (v11.0)

description: This dataset contains the distinct architectonic Area PF (IPL) in the MNI Colin 27 and MNI ICBM 152 reference spaces. As part of the Julich-Brain 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. Subsequently, the results of the cytoarchitectonic analysis are mapped to the MNI Colin 27 and MNI ICBM 152 reference spaces where each voxel is assigned with the probability to belong to Area PF (IPL). The probability map of Area PF (IPL) 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 PF (IPL): Caspers et al. (2018) [Data set, v9.2] [DOI: 10.25493/H0GN-SA8](https://doi.org/10.25493%2FH0GN-SA8) Caspers et al. (2019) [Data set, v9.4] [DOI: 10.25493/F1TJ-54W](https://doi.org/10.25493%2FF1TJ-54W) The most probable delineation of Area PF (IPL) 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](https://doi.org/10.25493%2FQ3ZS-NV6) Amunts et al. (2019) [Data set, v1.18] [DOI: 10.25493/8EGG-ZAR](https://doi.org/10.25493%2F8EGG-ZAR) Amunts et al. (2020) [Data set, v2.2] [DOI: 10.25493/TAKY-64D](https://doi.org/10.25493%2FTAKY-64D) Amunts et al. (2020) [Data set, v2.4] [DOI: 10.25493/A7Y0-NX9](https://doi.org/10.25493%2FA7Y0-NX9) Amunts et al. (2020) [Data set, v2.5] [DOI: 10.25493/8JKE-M53](https://doi.org/10.25493/8JKE-M53)
DOI: 10.25493/kmrv-n9s
title: 3D cyto- and receptor architectonic map of macaque primary motor area 4m

description: A multimodal analysis of the macaque motor cortex was carried out to create a 3D atlas integrating and reconciling discrepancies between previously published maps. This involved a quantitative and statistically testable approach to the analysis of cytoarchitecture in the macaque monkey frontal agranular cortex, in combination with an in vitro quantitative receptor autoradiographic analysis of the regional and laminar distribution patterns of 13 different neurotransmitter receptors. The borders of the identified areas were traced onto a reference macaque monkey brain in stereotaxic space. We provide here for the first time a map of primary motor area 4m of the macaque monkey brain integrating cyto- and receptor architectonic features in stereotaxic space. It constitutes a valuable resource for the analysis of functional experiments with non-human primates, and provides crucial data for modeling approaches with realistic synaptic dynamics.
DOI: 10.25493/2382-aym
title: Pituitary homeobox 3 tetracycline-transactivator expression: horizontal sections (case 5154)

description: Bright-field microscopy images of serial horizontal brain sections showing Pituitary homeobox 3 (Pitx3) promoter expression in a bigenic Pitx3-tetracycline-transactivator (tTA) mouse brain (case 5154, adult female), using a driver-reporter construct in which the Pitx3-tTA promoter regulates the expression of the E. coli derived LacZ reporter gene encoding β-galactosidase, which is visualized histologically using X-gal (5-Bromo-4-chloro-3-indolyl β-d-galactopyranoside) as a substrate. Our data show that the Pitx3-tTA promoter is spatially restricted to the substantia nigra, ventral tegmental area, and a few other regions.
DOI: 10.25493/z83y-rzq
title: Probabilistic cytoarchitectonic map of Area Fo5 (OFC) (v3.0)

description: This dataset contains the distinct architectonic Area Fo5 (OFC) in the MNI Colin 27 and MNI ICBM 152 reference spaces. As part of the Julich-Brain 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. Subsequently the results of the cytoarchitectonic analysis are mapped to the MNI Colin 27 and MNI ICBM 152 reference spaces where each voxel is assigned with the probability to belong to Area Fo5 (OFC). The probability map of Area Fo5 (OFC) are 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 Fo5 (OFC): Wojtasik et al. (2019) [Data set, v2.1] [DOI: 10.25493/HJMY-ZZP](https://doi.org/10.25493%2FHJMY-ZZP) The most probable delineation of Area Fo5 (OFC) 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, v1.18] [DOI: 10.25493/8EGG-ZAR](https://doi.org/10.25493%2F8EGG-ZAR) Amunts et al. (2020) [Data set, v2.2] [DOI: 10.25493/TAKY-64D](https://doi.org/10.25493%2FTAKY-64D) Amunts et al. (2020) [Data set, v2.4] [DOI: 10.25493/A7Y0-NX9](https://doi.org/10.25493%2FA7Y0-NX9) Amunts et al. (2020) [Data set, v2.5] [DOI: 10.25493/8JKE-M53](https://doi.org/10.25493/8JKE-M53)
DOI: 10.25493/mvhq-4ya
title: Recordings of passive cellular parameters of cerebellar neurons

description: Study and characterization of the intrinsic properties of different cerebellar neuronal types.
DOI: 10.25493/wjha-2ny
title: Automated Anatomical Labeling (AAL1) atlas

description: This dataset provides an anatomical parcellation of the spatially normalized single-subject average from 27 high-resolution T1 volume provided by the Montreal Neurological Institute (MNI) (D. L. Collins et al., 1998, Trans. Med. Imag. 17, 463–468). The MNI single-subject main sulci were first delineated and further used as landmarks for the 3D definition of 45 anatomical volumes of interest (AVOI) in each hemisphere. This procedure was performed using a dedicated software which allowed a 3D following of the sulci course on the edited brain. Regions of interest were then drawn manually with the same software every 2 mm on the axial slices of the high-resolution MNI single subject. The 90 AVOI were reconstructed and assigned a label. Using this parcellation method, three procedures to perform the automated anatomical labeling of functional studies are proposed: (1) labeling of an extremum defined by a set of coordinates, (2) percentage of voxels belonging to each of the AVOI intersected by a sphere centered by a set of coordinates, and (3) percentage of voxels belonging to each of the AVOI intersected by an activated cluster. An interface with the Statistical Parametric Mapping package (SPM, J. Ashburner and K. J. Friston, 1999, Hum. Brain Mapp. 7, 254–266) is provided as a freeware to researchers of the neuroimaging community ([http://www.gin.cnrs.fr/en/tools/aal/](http://www.gin.cnrs.fr/en/tools/aal/)). This tool is an improvement for the macroscopical labeling of activated area compared to labeling assessed using the Talairach atlas brain in which deformations are well known. However, this tool does not alleviate the need for more sophisticated labeling strategies based on anatomical or cytoarchitectonic probabilistic maps.
DOI: 10.25493/9hmg-shd
title: Probabilistic cytoarchitectonic map of Area 7A (SPL) (v9.0)

description: This dataset contains the distinct architectonic Area 7A (SPL) 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 7A (SPL). The probability map of Area 7A (SPL) are 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 7A (SPL): Scheperjans et al. (2018) [Data set, v8.2] [DOI: 10.25493/MQ4V-YRR](https://doi.org/10.25493%2FMQ4V-YRR) Scheperjans et al. (2019) [Data set, v8.4] [DOI: 10.25493/7HX2-AJH](https://doi.org/10.25493%2F7HX2-AJH) The most probable delineation of Area 7A (SPL) 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](https://doi.org/10.25493%2FQ3ZS-NV6) Amunts et al. (2019) [Data set, v1.18] [DOI: 10.25493/8EGG-ZAR](https://doi.org/10.25493%2F8EGG-ZAR) Amunts et al. (2020) [Data set, v2.2] [DOI: 10.25493/TAKY-64D](https://doi.org/10.25493%2FTAKY-64D) Amunts et al. (2020) [Data set, v2.4] [DOI: 10.25493/A7Y0-NX9](https://doi.org/10.25493%2FA7Y0-NX9) Amunts et al. (2020) [Data set, v2.5]
DOI: 10.25493/m5qg-shh
title: Probabilistic cytoarchitectonic map of Dorsal Dentate Nucleus (Cerebellum) (v6.2)

description: This dataset contains the distinct architectonic Dorsal Dentate Nucleus (Cerebellum) 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 Dorsal Dentate Nucleus (Cerebellum). The probability map of Dorsal Dentate Nucleus (Cerebellum) 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 Dorsal Dentate Nucleus (Cerebellum): Tellmann et al. (2018) [Data set, v6.0] [DOI: 10.25493/G2RE-7PH](https://doi.org/10.25493%2FG2RE-7PH) The most probable delineation of Dorsal Dentate Nucleus (Cerebellum) 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](https://doi.org/10.25493%2FQ3ZS-NV6) Amunts et al. (2019) [Data set, v1.18] [DOI: 10.25493/8EGG-ZAR](https://doi.org/10.25493%2F8EGG-ZAR) Amunts et al. (2020) [Data set, v2.2] [DOI: 10.25493/TAKY-64D](https://doi.org/10.25493%2FTAKY-64D) Amunts et al. (2020) [Data set, v2.4] [DOI: 10.25493/A7Y0-NX9](https://doi.org/10.25493%2FA7Y0-NX9) Amunts et al. (2020) [Data set, v2.5] [DOI: 10.25493/8JKE-M53](https://doi.org/10.25493/8JKE-M53) Amunts et al. (2021) [Data set, v2.6] [DOI: 10.25493/KJQN-AM0](https://doi.org/10.25493%2FKJQN-AM0)
DOI: 10.25493/wt3q-1xe
title: Probabilistic cytoarchitectonic map of Area 3b (PostCG) (v10.0)

description: This dataset contains the distinct architectonic Area 3b (PostCG) 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 3b (PostCG). The probability map of Area 3b (PostCG) are 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 3b (PostCG): Geyer et al. (2018) [Data set, v8.2] [DOI: 10.25493/W4WS-B3P](https://doi.org/10.25493%2FW4WS-B3P) Geyer et al. (2019) [Data set, v8.4] [DOI: 10.25493/2JK3-QXR](https://doi.org/10.25493%2F2JK3-QXR) The most probable delineation of Area 3b (PostCG) 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](https://doi.org/10.25493%2FQ3ZS-NV6) Amunts et al. (2019) [Data set, v1.18] [DOI: 10.25493/8EGG-ZAR](https://doi.org/10.25493%2F8EGG-ZAR) Amunts et al. (2020) [Data set, v2.2] [DOI: 10.25493/TAKY-64D](https://doi.org/10.25493%2FTAKY-64D) Amunts et al. (2020) [Data set, v2.4] [DOI: 10.25493/A7Y0-NX9](https://doi.org/10.25493%2FA7Y0-NX9) Amunts et al. (2020) [Data set, v2.5] [DOI: 10.25493/8JKE-M53](https://doi.org/10.25493/8JKE-M53)
DOI: 10.25493/1y3k-mjx
title: Probabilistic cytoarchitectonic map of HC-Subiculum (Hippocampus) (v13.0)

description: This dataset contains the distinct architectonic HC-Subiculum (Hippocampus) in the MNI Colin 27 and MNI ICBM 152 reference spaces. As part of the Julich-Brain 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. Subsequently, the results of the cytoarchitectonic analysis are mapped to the MNI Colin 27 and MNI ICBM 152 reference spaces where each voxel is assigned with the probability to belong to HC-Subiculum (Hippocampus). The probability map of HC-Subiculum (Hippocampus) 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 HC-Subiculum (Hippocampus): Amunts et al. (2018) [Data set, v11b.0] [DOI: 10.25493/57EJ-01Z](https://doi.org/10.25493%2F57EJ-01Z) Amunts et al. (2019) [Data set, v11.1] [DOI: 10.25493/QKJH-F45](https://doi.org/10.25493%2FQKJH-F45) The most probable delineation of HC-Subiculum (Hippocampus) 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](https://doi.org/10.25493%2FQ3ZS-NV6) Amunts et al. (2019) [Data set, v1.18] [DOI: 10.25493/8EGG-ZAR](https://doi.org/10.25493%2F8EGG-ZAR) Amunts et al. (2020) [Data set, v2.2] [DOI: 10.25493/TAKY-64D](https://doi.org/10.25493%2FTAKY-64D) Amunts et al. (2020) [Data set, v2.4] [DOI: 10.25493/A7Y0-NX9](https://doi.org/10.25493%2FA7Y0-NX9) Amunts et al. (2020) [Data set, v2.5] [DOI: 10.25493/8JKE-M53](https://doi.org/10.25493/8JKE-M53)
DOI: 10.25493/9v51-tjt
title: Characterization of a light-sensitive muscarinic agonist

description: Muscarinic acetylcholine receptors (mAChRs) are class A GPCRs characterized by a widespread tissue distribution and involved in the control of numerous central and peripheral physiological responses. We developed an M2 photoswitchable ligand, named PAI, for the optical control of (neuro)biological functions. This dataset contains the evaluation in vitro of the photopharmacological activity of PAI. We performed calcium imaging assay in genetically unmodified M2 mAChRs receptors overexpressed in mammalian HEK cells under 1P-illumination. Oregon Green BAPTA-1, AM was used as a fluorescent calcium probe. Cytosolic calcium oscillations are indicative of M2 receptor activation and are recorded as increments of the intracellular fluorescence (F/F0). The raw data are here available: PAI turned out to be a potent activator of M2 receptors in the dark or under illumination with blue light (460 nm) or white light (trans isomer), but inactive under UV illumination (cis isomer).
DOI: 10.25493/928v-yne
title: Probabilistic cytoarchitectonic map of Area Id4 (Insula) (v4.0)

description: This dataset contains the distinct architectonic Area Id4 (Insula) in the MNI Colin 27 and MNI ICBM 152 reference spaces. As part of the Julich-Brain 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. Subsequently the results of the cytoarchitectonic analysis are mapped to the MNI Colin 27 and MNI ICBM 152 reference spaces where each voxel is assigned with the probability to belong to Area Id4 (Insula). The probability map of Area Id4 (Insula) are 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 Id4 (Insula): Quabs et al. (2019) [Data set, v3.1] [DOI: 10.25493/K63G-89H](https://doi.org/10.25493%2FK63G-89H) The most probable delineation of Area Id4 (Insula) 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, v1.18] [DOI: 10.25493/8EGG-ZAR](https://doi.org/10.25493/8EGG-ZAR) 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) Amunts et al. (2020) [Data set, v2.5] [DOI: 10.25493/8JKE-M53](https://doi.org/10.25493/8JKE-M53)
DOI: 10.25493/5f04-n97
title: Densities and 3D distributions of synapses using FIB/SEM imaging in the human neocortex (Temporal cortex, T2)

description: Synapses have been identified, segmented and quantified in the human neocortex (Temporal cortex, T2) with 3D electron microscopy (FIB-SEM). Layer III of the Temporal cortex (T2 or Brodmann’s area 21) has been studied. 5 cases have been used (AB1, AB2, AB3, H18 and H38) to achieve a total of 9 valid images stacks. Data obtained include the number of asymmetric and symmetric synapses, their sizes and their spatial distribution.
DOI: 10.25493/n6ez-brk
title: GapMap Frontal I (v9.0)

description: This dataset contains the “Gap Map 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 “Gap Map 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 “Gap Map 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 “Gap Map Frontal I” with progress in mapping. The most probable delineation of Gap Map Frontal I 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)
DOI: 10.34810/data72/343
title: 01CO_1.MR.0004.0135.2016.02.04.15.44.11.109375.67139304.IMA
DOI: 10.25493/f7ye-5zq
title: 3-D point data representing the spatial distribution of corticopontine projections originating in the mouse temporal cortex

description: The 3-D point coordinate data represent the spatial distribution of mouse brain subcortical projections from different parts of the temporal cortex (e.g. auditory cortex) to the caudoputamen, thalamus, superior colliculus and pontine nuclei. The point data are derived from segmented images series programmatically downloaded from the Allen Brain Atlas Data Portal. The data are suited for 3-D visualization and comparison the spatial arrangement of temporal corticostriatal, corticothalamic, corticocollicular, and corticopontine projections.