Early amygdala and ERC atrophy linked to 3D reconstruction of rostral neurofibrillary tau tangle pathology in Alzheimer's disease.


Journal

NeuroImage. Clinical
ISSN: 2213-1582
Titre abrégé: Neuroimage Clin
Pays: Netherlands
ID NLM: 101597070

Informations de publication

Date de publication:
2023
Historique:
received: 10 07 2022
revised: 07 03 2023
accepted: 08 03 2023
medline: 19 6 2023
pubmed: 20 3 2023
entrez: 19 3 2023
Statut: ppublish

Résumé

Previous research has emphasized the unique impact of Alzheimer's Disease (AD) pathology on the medial temporal lobe (MTL), a reflection that tau pathology is particularly striking in the entorhinal and transentorhinal cortex (ERC, TEC) early in the course of disease. However, other brain regions are affected by AD pathology during its early phases. Here, we use longitudinal diffeomorphometry to measure the atrophy rate from MRI of the amygdala compared with that in the ERC and TEC in cognitively unimpaired (CU) controls, CU individuals who progressed to mild cognitive impairment (MCI), and individuals with MCI who progressed to dementia of the AD type (DAT), using a dataset from the Alzheimer's Disease Neuroimaging Initiative (ADNI). Our results show significantly higher atrophy rates of the amygdala in both groups of 'converters' (CU→MCI, MCI→DAT) compared to controls, with rates of volume loss comparable to rates of thickness loss in the ERC and TEC. We localize atrophy within the amygdala within each of these groups using fixed effects modeling. Controlling for the familywise error rate highlights the medial regions of the amygdala as those with significantly higher atrophy in both groups of converters than in controls. Using our recently developed method, referred to as Projective LDDMM, we map measures of neurofibrillary tau tangles (NFTs) from digital pathology to MRI atlases and reconstruct dense 3D spatial distributions of NFT density within regions of the MTL. The distribution of NFTs is consistent with the spatial distribution of MR measured atrophy rates, revealing high densities (and atrophy) in the amygdala (particularly medial), ERC, and rostral third of the MTL. The similarity of the location of NFTs in AD and shape changes in a well-defined clinical population suggests that amygdalar atrophy rate, as measured through MRI may be a viable biomarker for AD.

Identifiants

pubmed: 36934675
pii: S2213-1582(23)00063-3
doi: 10.1016/j.nicl.2023.103374
pmc: PMC10034129
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

103374

Subventions

Organisme : NIGMS NIH HHS
ID : T32 GM136577
Pays : United States
Organisme : NIMH NIH HHS
ID : RF1 MH126732
Pays : United States
Organisme : NIMH NIH HHS
ID : U19 MH114821
Pays : United States
Organisme : NIBIB NIH HHS
ID : R01 EB020062
Pays : United States
Organisme : NIA NIH HHS
ID : U19 AG033655
Pays : United States
Organisme : NIBIB NIH HHS
ID : P41 EB031771
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG066507
Pays : United States
Organisme : NIMH NIH HHS
ID : RF1 MH128875
Pays : United States
Organisme : NIA NIH HHS
ID : U01 AG024904
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS074980
Pays : United States

Informations de copyright

Copyright © 2023 The Author(s). Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: MM and SM are co-owners of Anatomy Works and are entitled to royalty distributions from the company, with the arrangement being managed by Johns Hopkins University in accordance with its conflict of interest policies.

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Auteurs

Kaitlin M Stouffer (KM)

Department of Biomedical Engineering, Johns Hopkins University, 3400 N Charles St, Baltimore 21218, MD, USA. Electronic address: kstouff4@jhmi.edu.

Claire Chen (C)

Department of Biomedical Engineering, Johns Hopkins University, 3400 N Charles St, Baltimore 21218, MD, USA.

Sue Kulason (S)

Department of Biomedical Engineering, Johns Hopkins University, 3400 N Charles St, Baltimore 21218, MD, USA.

Eileen Xu (E)

Department of Biomedical Engineering, Johns Hopkins University, 3400 N Charles St, Baltimore 21218, MD, USA.

Menno P Witter (MP)

Kavli Institute for Systems Neuroscience, Norwegian University of Science and Technology, 7491 Trondheim, Norway.

Can Ceritoglu (C)

Department of Biomedical Engineering, Johns Hopkins University, 3400 N Charles St, Baltimore 21218, MD, USA.

Marilyn S Albert (MS)

Departments of Neurology, Johns Hopkins School of Medicine, 733 N Broadway, Baltimore 21205, MD, USA.

Susumu Mori (S)

Department of Radiology, Johns Hopkins School of Medicine, 733 N Broadway, Baltimore 21205, MD, USA.

Juan Troncoso (J)

Department of Pathology, Johns Hopkins School of Medicine, 733 N Broadway, Baltimore 21205, MD, USA.

Daniel J Tward (DJ)

Departments of Computational Medicine and Neurology, University of California, Los Angeles, UCLA Brain Mapping Center, 660 Charles E. Young Drive South, Los Angeles 90095, CA, USA.

Michael I Miller (MI)

Department of Biomedical Engineering, Johns Hopkins University, 3400 N Charles St, Baltimore 21218, MD, USA.

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