Academic Journal

A curvilinear coordinate flatmap for visualizing hippocampal structure and development.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: A curvilinear coordinate flatmap for visualizing hippocampal structure and development.
Συγγραφείς: Bhandiwad AA; Allen Institute for Brain Science, Seattle, WA., Kronman F; Department of Neuroscience and Experimental Therapeutics, College of Medicine, The Pennsylvania State University, Hershey, PA., Liwang J; Department of Neuroscience and Experimental Therapeutics, College of Medicine, The Pennsylvania State University, Hershey, PA., Gao P; Department of Anatomy and Neurobiology, School of Medicine, University of California, Irvine, Irvine, CA 92697, USA., Rossant C; University College London, London, UK.; International Brain Laboratory., Birman D; International Brain Laboratory.; Allen Institute for Neural Dynamics, Seattle, WA., Puelles L; University of Murcia, Murcia, Spain., Ding SL; Allen Institute for Brain Science, Seattle, WA., Xu X; Department of Anatomy and Neurobiology, School of Medicine, University of California, Irvine, Irvine, CA 92697, USA., Ng L; Allen Institute for Brain Science, Seattle, WA., Kim Y; Department of Neuroscience and Experimental Therapeutics, College of Medicine, The Pennsylvania State University, Hershey, PA.; Center for Neural Engineering, The Pennsylvania State University, University Park, PA., Mollenkopf T; Allen Institute for Brain Science, Seattle, WA.
Πηγή: BioRxiv : the preprint server for biology [bioRxiv] 2026 Mar 11. Date of Electronic Publication: 2026 Mar 11.
Τύπος έκδοσης: Journal Article; Preprint
Γλώσσα: English
Στοιχεία περιοδικού: Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet ISSN: 2692-8205 (Electronic) Linking ISSN: 26928205 NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE
Περίληψη: The hippocampal formation is a highly curved and topographically complex forebrain structure. This complex geometry presents persistent challenges for analyzing subregional, laminar, and connectivity patterns. Here, we present a computational workflow that generates curvilinear-coordinate flatmaps from Common Coordinate Framework (CCF) registered hippocampal and retrohippocampal regions by solving the Laplacian equation to derive geodesic streamlines. This transformation unfolds the hippocampus into a planar slab, bounded by the meningeal and ventricular surfaces, with the depth defined along the radial axis. We apply this transform to image volumes, single neuron reconstructions, and point data, including spatial transcriptomic and rabies tracing datasets, revealing topographic variations in the dorsoventral and radial axes that are obscured in the CCF coordinate space. As proof of principle, we use flatmaps to show connectivity loss in a mouse model of Alzheimer's disease and track postnatal development of microglial distribution in the hippocampus. This work provides an efficient and accessible resource for visualizing hippocampal organization across development and disease, offering new opportunities to interrogate the structure and function of this important brain region.
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Grant Information: U01 AG076791 United States AG NIA NIH HHS
Entry Date(s): Date Created: 20260209 Date Completed: 20260325 Latest Revision: 20260920
Update Code: 20260920
PubMed Central ID: PMC12873774
DOI: 10.64898/2026.01.29.702633
PMID: 41659659
Βάση Δεδομένων: MEDLINE
Περιγραφή
ISSN:2692-8205
DOI:10.64898/2026.01.29.702633