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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.; Rodriguez-Cruces, R.; Frauscher, B.; Pana, R.; Hansen, J. Y.; Misic, B.; Valk, S. L.; Kirschner, M.; Bernasconi, A.; Bernasconi, N.; Muenzing, S.; Axer, M.; Amunts, K.; Evans, A. C.; Bernhardt, B. C.

2024-02-23 neuroscience
10.1101/2024.02.23.581734 bioRxiv
Show 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 subregional hippocampal data in the human brain (http://hippomaps.readthedocs.io). HippoMaps capitalizes on a unified 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 an unprecedented combination of hippocampal data spanning 3D ex-vivo 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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