期刊
TRENDS IN NEUROSCIENCES
卷 44, 期 11, 页码 856-863出版社
CELL PRESS
DOI: 10.1016/j.tins.2021.06.005
关键词
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资金
- Canadian Institutes of Health Research [366062]
- Canada Research Chairs Program [950-231964]
- Natural Sciences and Engineering Research Council [2015-06639]
- Canada First Research Excellence Fund
- Brain Canada Platform Support Grant
This article discusses the application of surface-based methods in modeling hippocampal folding, allowing interindividual alignment in a 2D space, which helps in detailed morphological characterization and solving the problem of subfield segmentation.
Though it is often termed 'subcortical,' the hippocampus is composed of a folded 'archicortical' sheet contiguous with the neocortex. The human hippocampus varies considerably in its internal folding configuration, creating major challenges in interindividual alignment and parcellation into subfields. In this opinion article, we discuss surface-based methods that aim to explicitly model hippocampal folding, similar to methods used in the neocortex, allowing interindividual alignment in an unfolded or flat-mapped 2D space. Such an approach enables detailed morphological characterization, constrains the problem of subfield segmentation, and provides a way to visualize data without occlusions. We argue that, when applied to magnetic resonance imaging (MRI) data, such methods overcome pitfalls of more conventional manual or registration-based subfield segmentation approaches.
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