001     1048413
005     20251127202205.0
037 _ _ |a FZJ-2025-04624
041 _ _ |a English
100 1 _ |a Kedo, Olga
|0 P:(DE-Juel1)131650
|b 0
|e Corresponding author
|u fzj
111 2 _ |a 9th BigBrain Workshop -HIBALL Closing Symposium
|c Berlin
|d 2025-10-27 - 2025-10-29
|w Germany
245 _ _ |a The hippocampal formation mapped in the BigBrain: The deep-learning supported high-resolution mapping and 3D reconstruction
260 _ _ |c 2025
336 7 _ |a Conference Paper
|0 33
|2 EndNote
336 7 _ |a INPROCEEDINGS
|2 BibTeX
336 7 _ |a conferenceObject
|2 DRIVER
336 7 _ |a CONFERENCE_POSTER
|2 ORCID
336 7 _ |a Output Types/Conference Poster
|2 DataCite
336 7 _ |a Poster
|b poster
|m poster
|0 PUB:(DE-HGF)24
|s 1764234981_29108
|2 PUB:(DE-HGF)
|x After Call
520 _ _ |a The hippocampal formation (HF) plays a pivotal role in different aspects of memory, with its subdivisions having various functional implications. The hippocampus has been parcellated in different ways both in histological and MRI studies [1, 2]. In the BigBrain, 3D rendering of the hippocampus was performed with its subdivisions being revealed through unfolding and unsupervised clustering of laminar and morphological features [3]. However, this parcellation was not detailed enough, e.g. in the field of the subicular complex (subiculum).We cytoarchitectonically identified and mapped in 10 postmortem brains and generated probabilistic maps of CA1, CA2, CA3, CA4, Fascia dentata (FD), prosubiculum (ProS), subiculum (Sub), presubiculum (PreS), parasubiculum (PaS), transsubiculum (TrS), hippocampal-amygdaloid transition area (HATA) and entorhinal cortex (EC) [4]. Based on this research, we mapped HF in the BigBrain and generated the 3D maps of HF in the BigBrain template. Cytoarchitectonic mapping of 12 structures was performed in at least each 15th serial histological sections in the web-based annotation tool MicroDraw at 1-micron resolution in-plane in the BigBrain. Subsequently, a Deep Learning Workflow was utilized to 3D-reconstruct the structures. Convolutional Neural Networks were trained for image segmentation in the sections lying between those manually mapped using ATLaSUI [5]. The annotations of each structure were non-linearly transformed to the sections of the 3D reconstructed BigBrain space at 20-micron isotropic resolution [6], and was further visualized using the Neuroglancer.We have identified 12 cytoarchitectonic structures of HF in the BigBrain and analyzed their macroanatomy (Fig. 1). Fasciola cinerea (FD in its mediocaudal extension) was larger in the left hemisphere, while it was minuscule on the right (Fig.1A). Left ProS extended onto dorsomedial surface of the parahippocampal gyrus (PHG), while the right ProS almost does not appear on the surface (Fig.1B). Caudally, PreS occupied medial surface of the PHG. TrS abutted on PreS ventrally. Caudal TrS bordered the temporo-parieto-occipital proisocortex laterally (Fig.1A), while rostral TrS abutted upon area 35. PaS replaced TrS rostrally. The detailed mapping of HF reflected a transition from the allocortex (ProS and Sub) to the periallocortex (PreS, PaS) within the subicular complex that traditionally was considered as a cytoarchitectonic unit. Rostrally, both hemispheres had three Digitationes hippocampi respectively (Fig.1C). The high-resolution (20 μm) whole-brain histological references of HF were generated on the basis of the BigBrain. They will be publicly available on the EBRAINS platform and integrated with the BigBrain model, extending maps of the piriform cortex [7] to represent two hubs of limbic system [8].1. Wisse L.E.M. et al. (2017) Hippocampus, 27(1): p. 3-11.2. Yushkevich P.A. et al. (2015), Neuroimage, 111: p. 526-41.3. DeKraker J. et al. (2020), Neuroimage, 206: p. 116328.4. Palomero-Gallagher N. et al. (2020), Brain Struct Funct, 225(3): p. 881-907.5. Schiffer C. et al. (2021), Neuroimage, 240: p. 118327.6. Amunts K. et al. (2013), Science, 340(6139): p. 1472-5.7. Kedo O. et al. (2024), Anatomia, 3(2): p. 68–92.8. Catani M. et al. (2013), Neurosci Biobehav Rev, 2013. 37(8): p. 1724-37.
536 _ _ |a 5251 - Multilevel Brain Organization and Variability (POF4-525)
|0 G:(DE-HGF)POF4-5251
|c POF4-525
|f POF IV
|x 0
536 _ _ |a HIBALL - Helmholtz International BigBrain Analytics and Learning Laboratory (HIBALL) (InterLabs-0015)
|0 G:(DE-HGF)InterLabs-0015
|c InterLabs-0015
|x 1
650 1 7 |a Health and Life
|0 V:(DE-MLZ)GC-130-2016
|2 V:(DE-HGF)
|x 0
700 1 _ |a Lothmann, Kimberley
|0 P:(DE-Juel1)196766
|b 1
|u fzj
700 1 _ |a Schiffer, Christian
|0 P:(DE-Juel1)170068
|b 2
|u fzj
700 1 _ |a Mohlberg, Hartmut
|0 P:(DE-Juel1)131660
|b 3
|u fzj
700 1 _ |a Dickscheid, Timo
|0 P:(DE-Juel1)165746
|b 4
|u fzj
700 1 _ |a Amunts, Katrin
|0 P:(DE-Juel1)131631
|b 5
|u fzj
856 4 _ |u https://juser.fz-juelich.de/record/1048413/files/Figure_Abstract.tif
|y Restricted
856 4 _ |u https://juser.fz-juelich.de/record/1048413/files/Figure_Abstract.gif?subformat=icon
|x icon
|y Restricted
856 4 _ |u https://juser.fz-juelich.de/record/1048413/files/Figure_Abstract.jpg?subformat=icon-1440
|x icon-1440
|y Restricted
856 4 _ |u https://juser.fz-juelich.de/record/1048413/files/Figure_Abstract.jpg?subformat=icon-180
|x icon-180
|y Restricted
856 4 _ |u https://juser.fz-juelich.de/record/1048413/files/Figure_Abstract.jpg?subformat=icon-640
|x icon-640
|y Restricted
909 C O |o oai:juser.fz-juelich.de:1048413
|p VDB
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)131650
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 1
|6 P:(DE-Juel1)196766
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 2
|6 P:(DE-Juel1)170068
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 3
|6 P:(DE-Juel1)131660
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 4
|6 P:(DE-Juel1)165746
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 5
|6 P:(DE-Juel1)131631
913 1 _ |a DE-HGF
|b Key Technologies
|l Natural, Artificial and Cognitive Information Processing
|1 G:(DE-HGF)POF4-520
|0 G:(DE-HGF)POF4-525
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Decoding Brain Organization and Dysfunction
|9 G:(DE-HGF)POF4-5251
|x 0
914 1 _ |y 2025
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)INM-1-20090406
|k INM-1
|l Strukturelle und funktionelle Organisation des Gehirns
|x 0
980 _ _ |a poster
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)INM-1-20090406
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21