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 (jordandekraker@gmail.com), Donna Cabalo¹, Jessica Royer¹, Ali R. Khan², Bradley Karat², Oualid Benkarim¹, Raul Rodriguez-Cruces¹, Birgit Frauscher³, Raluca Pana1¹, Justine Hansen¹, Bratislav Misic¹, Sofie Valk^4,5,6, Matthias Kirschner⁷, Andrea Bernasconi¹, Neda Bernasconi¹, Sascha Muenzing⁵, Markus Axer⁵, Katrin Amunts^5,6, 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