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  HippoMaps: Multiscale cartography of the human hippocampal formation

DeKraker, J., Cabalo, D. G., Royer, J., Khan, A. R., Karat, B., Benkarim, O., et al. (2024). HippoMaps: Multiscale cartography of the human hippocampal formation. bioRxiv. doi:10.1101/2024.02.23.581734.

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DeKraker, Jordan, Author
Cabalo, Donna Gift, Author
Royer, Jessica, Author
Khan, Ali R., Author
Karat, Bradley, Author
Benkarim, Oualid, Author
Rodriguez-Cruces, Raul, Author
Frauscher, Birgit, Author
Pana, Raluca, Author
Hansen, Justine Y., Author
Misic, Bratislav, Author
Valk, Sofie L.1, Author                 
Lau, Jonathan C., Author
Kirschner, Matthias, Author
Bernasconi, Andrea, Author
Bernasconi, Neda, Author
Muenzing, Sascha, Author
Axer, Markus, Author
Amunts, Katrin, Author
Evans, Alan C., Author
Bernhardt, Boris C., Author more..
Affiliations:
1Otto Hahn Group Cognitive Neurogenetics, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_3222264              

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 Abstract: The hippocampus has a unique microarchitecture, is situated at the nexus of multiple macroscale functional networks, contributes to numerous cognitive as well as affective processes, and is highly susceptible to brain pathology across common disorders. These features make the hippocampus a model to understand how brain structure covaries with function, in both health and disease. Here, we introduce HippoMaps, an open access toolbox and online data warehouse for the mapping and contextualization of hippocampal data in the human brain (http://hippomaps.readthedocs.io). HippoMaps capitalizes on a novel hippocampal unfolding approach as well as shape intrinsic registration capabilities to allow for cross-subject and cross-modal data aggregation. We initialize this repository with data spanning 3D post-mortem histology, ex-vivo 9.4 Tesla MRI, as well as in-vivo structural MRI and resting-state functional MRI (rsfMRI) obtained at 3 and 7 Tesla, together with intracranial encephalography (iEEG) recordings in epilepsy patients. HippoMaps also contains validated tools for spatial map association analysis in the hippocampus that correct for autocorrelation. All code and data are compliant with community standards, and comprehensive online tutorials facilitate broad adoption. Applications of this work span methodologies and modalities, spatial scales, as well as clinical and basic research contexts, and we encourage community feedback and contributions in the spirit of open and iterative scientific resource development.

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Language(s): eng - English
 Dates: 2024-02-27
 Publication Status: Published online
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 Identifiers: DOI: 10.1101/2024.02.23.581734
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Title: bioRxiv
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