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Unfolding the hippocampus: An intrinsic coordinate system for subfield segmentations and quantitative mapping
Jordan DeKraker1, Kayla M Ferko1, Jonathan C Lau2
1Brain and Mind Institute, University of Western Ontario, London, Ontario, Canada; Imaging Research Laboratories, Robarts Research Institute, University of Western Ontario, London, Ontario, Canada; Graduate Program in Neuroscience, University of Western Ontario, London, Ontario, Canada.
Neuroimage
|November 28, 2017
Summary
This study introduces a computational method to unfold the complex hippocampus, creating a standardized 2D space for mapping subfields. This novel approach enhances anatomical analysis and reveals biologically valid myelin differences across the hippocampus.
Area of Science:
- Neuroimaging
- Computational Neuroscience
- Neuroanatomy
Background:
- The hippocampus exhibits complex and variable folding patterns, particularly in the head, complicating anatomical analysis.
- Existing methods struggle to consistently map hippocampal subfields due to folding variability.
Purpose of the Study:
- To develop and validate a computational method for unfolding hippocampal grey matter.
- To create a standardized 2D coordinate space for consistent hippocampal subfield mapping.
- To investigate intracortical myelin distribution relative to hippocampal subfields.
Main Methods:
- Utilized high-resolution 7T MRI data from 12 healthy participants and one epilepsy patient.
- Developed a semi-automated technique to trace the hippocampal sulcus and stratum radiatum lacunosum-moleculare (SRLM).
- Solved Laplace's equation to create a 3D unfolded coordinate space, enabling 2D mapping of subfields.
Main Results:
- Generated an 'unfolded coordinate space' for intuitive 2D mapping of hippocampal subfields (long-axis and proximal-distal).
- Mapped intracortical myelin and thickness, revealing myelin differences that align with subfield borders.
- Histological validation confirmed the biological validity of the unfolded coordinate system and its subfield segmentations.
Conclusions:
- The developed computational method effectively unfolds the hippocampus, standardizing subfield analysis.
- The unfolded coordinate space provides a biologically valid framework for mapping hippocampal structures and features.
- This approach improves the ability to identify anatomical features and variations within the hippocampus.
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