Journal Article Ppublish 5 citations
PubMed: 38446857 DOI: 10.1073/pnas.2310044121
Insights into hippocampal perfusion using high-resolution, multi-modal 7T MRI.
Proc Natl Acad Sci U S A 121(11):e2310044121
Authors: Roy A M Haast, Sriranga Kashyap, Dimo Ivanov, Mohamed D Yousif, Jordan DeKraker, Benedikt A Poser, Ali R Khan
Affiliations
- Centre of Functional and Metabolic Mapping, Robarts Research Institute, Western University, London, ON N6A 3K7, Canada.
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht 6200, The Netherlands.
- Krembil Brain Institute, University Health Network, Toronto, ON M5G 2C4, Canada.
- Montreal Neurological Institute and Hospital, McGill University, Montreal, QC H3A 0G4, Canada.
Abstract
We present a comprehensive study on the non-invasive measurement of hippocampal perfusion. Using high-resolution 7 tesla arterial spin labeling (ASL) data, we generated robust perfusion maps and observed significant variations in perfusion among hippocampal subfields, with CA1 exhibiting the lowest perfusion levels. Notably, these perfusion differences were robust and already detectable with 50 perfusion-weighted images per subject, acquired in 5 min. To understand the underlying factors, we examined the influence of image quality metrics, various tissue microstructure and morphometric properties, macrovasculature, and cytoarchitecture. We observed higher perfusion in regions located closer to arteries, demonstrating the influence of vascular proximity on hippocampal perfusion. Moreover, ex vivo cytoarchitectonic features based on neuronal density differences appeared to correlate stronger with hippocampal perfusion than morphometric measures like gray matter thickness. These findings emphasize the interplay between microvasculature, macrovasculature, and metabolic demand in shaping hippocampal perfusion. Our study expands the current understanding of hippocampal physiology and its relevance to neurological disorders. By providing in vivo evidence of perfusion differences between hippocampal subfields, our findings have implications for diagnosis and potential therapeutic interventions. In conclusion, our study provides a valuable resource for extensively characterizing hippocampal perfusion.
MeSH
Hippocampus, Multiple Chronic Conditions
Cited by
- Characterizing BOLD activation patterns in the human hippocampus with laminar fMRI. Imaging Neurosci (Camb), 2025
- Assessing Arterial Patterns in the Motor Cortex With 7 Tesla Magnetic Resonance Imaging and Vessel Distance Mapping. Hum Brain Mapp, 2025
- Early life stress impairs hippocampal subfield myelination. Commun Biol, 2025
- Perfusion-mechanics coupling of the hippocampus. Interface Focus, 2025