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Poster D81 - Sketchpad Series

HippoMaps: multiscale cartography of human hippocampal organization

Poster Session D - Monday, April 15, 2024, 8:00 – 10:00 am EDT, Sheraton Hall ABC

Jordan DeKraker1 (, Donna Cabalo1, Jessica Royer1, Ali R. Khan2, Bradley Karat2, Oualid Benkarim1, Raul Rodriguez-Cruces1, Birgit Frauscher3, Raluca Pana11, Justine Hansen1, Bratislav Misic1, Sofie Valk4,5,6, Matthias Kirschner7, Andrea Bernasconi1, Neda Bernasconi1, Sascha Muenzing5, Markus Axer5, Katrin Amunts5,6, Alan Evans1, Boris Bernhardt1; 1Montreal Neurological Institute and Hospital, McGill University, Canada, 2Robarts Research Institute, University of Western Ontario, Canada, 3Department of Neurology, Duke University Medical Center, Durham, NC, United States, 4Otto Hahn Group Cognitive Neurogenetics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 5nstitute of Neuroscience and Medicine INM-1, Research Centre Jülich, Germany, 6C. & O. Vogt Institute for Brain Research, University Hospital Düsseldorf, Heinrich-Heine-University, Germany, 7Division of Adult Psychiatry, Department of Psychiatry, University Hospitals of Geneva, 2, Chemin du Petit-Bel-Air, CH-1226, Thonex, Switzerland

Intro The hippocampus has a unique microarchitecture, is situated at the nexus of multiple macroscale functional networks, contributes to numerous cognitive and affective processes, and is highly susceptible to brain pathology across common disorders. However, despite its widespread interest, large brain mapping projects tend to grossly oversimplify hippocampal structure. Here, we introduce HippoMaps, an open access toolbox and data warehouse for the precise mapping and contextualization of hippocampal data in the human brain. Methods HippoMaps capitalizes on a novel hippocampal unfolding approach as well as shape intrinsic cross-subject and cross-modal registration capabilities. We initialize this repository with data spanning 3D histology, structural MRI and resting-state functional MRI (rsfMRI) obtained at 3 and 7 Tesla, as well as intracranial encephalography (iEEG) recordings in epilepsy patients. Results We show how hippocampal maps can be related using a tailored approach for spatial map association that corrects for autocorrelation. We show how this can be applied in, for example, in comparison of task-fMRI to subfield-related histological mapping. Code and tools are compliant with community standards, and are provided as comprehensive online tutorials that reproduce the figures shown here. Conclusions Applications of hippocampal mapping span methodologies and modalities, spatial scales, as well as clinical and basic research contexts. We encourage community feedback and contributions in the spirit of open and iterative scientific resource development.

Topic Area: LONG-TERM MEMORY: Episodic


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