Jordan DeKraker, Donna Gift Cabalo, Jessica Royer, Alexander Ngo, Ali R. Khan, Bradley Karat, Oualid Benkarim, Raúl Rodríguez‐Cruces, Birgit Frauscher, Raluca Pana, Justine Y. Hansen, Bratislav Mišić, Sofie L. Valk, Jonathan C. Lau, Matthias Kirschner, Andrea Bernasconi, Neda Bernasconi, Sascha E.A. Muenzing, Markus Axer, Katrin Amunts, Alan C. Evans, Boris C. Bernhardt
The hippocampus has a specialized 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-participant and cross-modal data aggregation. We initialize this repository with a combination of hippocampal data spanning three-dimensional ex vivo histology, ex vivo 9.4-Tesla magnetic resonance imaging (MRI), as well as in vivo structural MRI and resting-state functional MRI obtained at 3 Tesla and 7 Tesla, together with intracranial encephalography recordings in patients with epilepsy. All code, data and tools are openly available online, with the aim of fostering further community contributions.