Quantitative MRI of the hippocampus reveals microstructural trajectories of aging and Alzheimer’s disease pathology

Hippocampal degeneration is a feature of both normal aging and Alzheimer's disease (AD). Prior to macroscopic degeneration, microstructural changes occur such as demyelination, iron deposition, or subtle atrophy, which can be characterized in vivo using MRI. We topographically mapped measures of microstructure and macrostructure across the unfolded surface of the hippocampus in 224 healthy older adults at risk for AD (aged 57 to 87) and 37 younger adults (aged 18 to 37). We describe three spatial regions of unique structural covariance between four parameters sensitive to microstructural tissue properties (R1, MTsat, R2*, PD) and macrostructure (surface thickness), with high convergence with previous spatial segmentations. We demonstrate both cross-sectional and longitudinal associations of microstructure with healthy aging across the lifespan, AD pathological hallmarks, genetic risk, and cognition. These associations had subtle variations across different spatial areas of the hippocampus. We report associations between age and qMRI measures sensitive to macromolecular concentration (R1, MTsat) and paramagnetic susceptibility (R2*), consistent with mechanisms of demyelination and increased iron deposition as key hallmarks of the aging hippocampus and in presymptomatic stages of AD. qMRI measures did not explain more variance in delayed recall than global PET measures, suggesting variation in cognitive performance in aging and incipient AD is influenced by factors beyond hippocampal microstructure. We demonstrate the utility of quantitative MRI to provide greater insight into hippocampal health compared to typical macrostructural measures through "in vivo histology," opening a window to understanding neuropathological mechanisms in the earliest stages of age- and disease-related neurodegeneration.

Authors

Institutions

Publication Details

Journal
Proceedings of the National Academy of Sciences
Published
2025-10-27
DOI
https://doi.org/10.1073/pnas.2502674122
Primary Topic
Advanced Neuroimaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quantitative MRI of the hippocampus reveals microstructural trajectories of aging and Alzheimer’s disease pathology

Andrée‐Ann Baril, Christian Bocti, Jennifer Tremblay‐Mercier, Serge Gauthier et al.
Proceedings of the National Academy of Sciences
Advanced Neuroimaging Techniques and Applications
article

Quantitative MRI of the hippocampus reveals microstructural trajectories of aging and Alzheimer’s disease pathology

Andrée‐Ann Baril, Christian Bocti, Jennifer Tremblay‐Mercier, Serge Gauthier, Boris C. Bernhardt, Colleen Hughes, Pierre Bellec, Pierre Étienne, Alan C. Evans, Étienne Vachon‐Presseau, Alexa Pichet Binette, M. Mallar Chakravarty, Judes Poirier, Maiya R. Geddes, Jean‐Paul Soucy, Yasser Ituria‐Medina, Christine Tardif, Sylvain Baillet, Lisa Marie Munter, Maxime Descoteaux, Taylor W. Schmitz, Danilo Bzdok, Mahsa Dadar, Rick Hoge, Jens C. Pruessner, John C.S. Breitner, Natasha Rajah, Alfie Wearn, D. Louis Collins, R. Nathan Spreng, Giulia Baracchini, Daniel Auld, Sylvia Villeneuve, Véronique D. Bohbot, Gary R. Turner, Gerhard Multhaup, Robert Laforce, Claudine Joëlle Gauthier, Ilana R. Leppert, Pedro Rosa‐Neto, Simon Ducharme, Vasavan Nair
article en

Abstract

Hippocampal degeneration is a feature of both normal aging and Alzheimer's disease (AD). Prior to macroscopic degeneration, microstructural changes occur such as demyelination, iron deposition, or subtle atrophy, which can be characterized in vivo using MRI. We topographically mapped measures of microstructure and macrostructure across the unfolded surface of the hippocampus in 224 healthy older adults at risk for AD (aged 57 to 87) and 37 younger adults (aged 18 to 37). We describe three spatial regions of unique structural covariance between four parameters sensitive to microstructural tissue properties (R1, MTsat, R2*, PD) and macrostructure (surface thickness), with high convergence with previous spatial segmentations. We demonstrate both cross-sectional and longitudinal associations of microstructure with healthy aging across the lifespan, AD pathological hallmarks, genetic risk, and cognition. These associations had subtle variations across different spatial areas of the hippocampus. We report associations between age and qMRI measures sensitive to macromolecular concentration (R1, MTsat) and paramagnetic susceptibility (R2*), consistent with mechanisms of demyelination and increased iron deposition as key hallmarks of the aging hippocampus and in presymptomatic stages of AD. qMRI measures did not explain more variance in delayed recall than global PET measures, suggesting variation in cognitive performance in aging and incipient AD is influenced by factors beyond hippocampal microstructure. We demonstrate the utility of quantitative MRI to provide greater insight into hippocampal health compared to typical macrostructural measures through "in vivo histology," opening a window to understanding neuropathological mechanisms in the earliest stages of age- and disease-related neurodegeneration.

Proceedings of the National Academy of SciencesVol. 122(44)
Montreal Neurological Institute and Hospital (CA), York University (CA), Douglas Mental Health University Institute (CA), McGill Genome Centre (CA), McGill University (CA)
Alzheimer's Association, McGill University, Canada Research Chairs, Hospital for Sick Children, National Institutes of Health, Canadian Institutes of Health Research, Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 54%
Advanced Neuroimaging Techniques and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.