HippoMaps Toolbox

HippoMaps Toolbox enables mapping and contextualization of hippocampal data in the human brain through hippocampal unfolding and shape intrinsic registration for cross-subject and cross-modal data aggregation.

Key Features:

• Hippocampal Unfolding: A novel approach for flattening the 3D hippocampal surface to facilitate data visualization and analysis across subjects and modalities.
• Shape Intrinsic Registration: Registration capabilities based on hippocampal shape geometry that enable aggregation of data across different subjects and imaging modalities.
• Spatial Map Association Analysis: Validated tools for statistical association of spatial maps in the hippocampus with correction for spatial autocorrelation.
• Multimodal Data Repository: Initialized repository containing 3D post-mortem histology, ex-vivo 9.4 Tesla MRI, in-vivo structural MRI and resting-state functional MRI (rsfMRI) at 3 and 7 Tesla, and intracranial encephalography (iEEG) recordings in epilepsy patients.

Scientific Applications:

• Cross-Modal Data Integration: Aggregation and comparison of hippocampal data across diverse imaging modalities and spatial scales including histology, MRI, and electrophysiology.
• Structure-Function Relationships: Investigation of how hippocampal microarchitecture and macroscale functional network organization relate to cognitive and affective processes in health and disease.
• Clinical and Basic Research: Applications across clinical contexts such as epilepsy and common disorders where the hippocampus is highly susceptible to pathology, as well as fundamental neuroscience research.

Methodology:

HippoMaps utilizes hippocampal unfolding and shape intrinsic registration for cross-subject and cross-modal data aggregation, with spatial map association analysis that corrects for autocorrelation.