Cytoarchitectonically-driven MRI atlas of nonhuman primate hippocampus: Preservation of subfield volumes in aging.

MRI aging hippocampus histology in vivo postmortem reconstruction registration subfields

Journal

Hippocampus
ISSN: 1098-1063
Titre abrégé: Hippocampus
Pays: United States
ID NLM: 9108167

Informations de publication

Date de publication:
05 2019
Historique:
received: 31 01 2017
revised: 29 09 2017
accepted: 24 10 2017
pubmed: 27 10 2017
medline: 29 5 2020
entrez: 27 10 2017
Statut: ppublish

Résumé

Identification of primate hippocampal subfields in vivo using structural MRI imaging relies on variable anatomical guidelines, signal intensity differences, and heuristics to differentiate between regions (Yushkevich et al., 2015a). Thus, a clear anatomically-driven basis for subfield demarcation is lacking. Recent work, however, has begun to develop methods to use ex vivo histology or ex vivo MRI (Adler et al., 2014; Iglesias et al., 2015) that have the potential to inform subfield demarcations of in vivo images. For optimal results, however, ex vivo and in vivo images should ideally be matched within the same healthy brains, with the goal to develop a neuroanatomically-driven basis for in vivo structural MRI images. Here, we address this issue in young and aging rhesus macaques (young n = 5 and old n = 5) using ex vivo Nissl-stained sections in which we identified the dentate gyrus, CA3, CA2, CA1, subiculum, presubiculum, and parasubiculum guided by morphological cell properties (30 μm thick sections spaced at 240 μm intervals and imaged at 161 nm/pixel). The histologically identified boundaries were merged with in vivo structural MRIs (0.625 × 0.625 × 1 mm) from the same subjects via iterative rigid and diffeomorphic registration resulting in probabilistic atlases of young and old rhesus macaques. Our results indicate stability in hippocampal subfield volumes over an age range of 13 to 32 years, consistent with previous results showing preserved whole hippocampal volume in aged macaques (Shamy et al., 2006). Together, our methods provide a novel approach for identifying hippocampal subfields in non-human primates and a potential 'ground truth' for more accurate identification of hippocampal subfield boundaries on in vivo MRIs. This could, in turn, have applications in humans where accurately identifying hippocampal subfields in vivo is a critical research goal.

Identifiants

pubmed: 29072793
doi: 10.1002/hipo.22809
pmc: PMC5920786
mid: NIHMS916538
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

409-421

Subventions

Organisme : Evelyn F. McKnight Brain Research Foundation
Pays : International
Organisme : NIA NIH HHS
ID : R01 AG003376
Pays : United States
Organisme : NIH HHS
ID : P51 OD011107
Pays : United States
Organisme : NCRR NIH HHS
ID : P51 RR000169
Pays : United States
Organisme : NIH HHS
ID : R01 NS076856
Pays : United States
Organisme : NIH HHS
ID : P51 RR000169
Pays : United States
Organisme : NIH HHS
ID : R01 AG003376
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS076856
Pays : United States

Informations de copyright

© 2017 Wiley Periodicals, Inc.

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Auteurs

Colin T Kyle (CT)

Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ.

Jared Stokes (J)

Department of Psychology, University of California, Davis, CA.

Jeffrey Bennett (J)

Department of Psychiatry and Behavioral Science and M.I.N.D. Institute, UC Davis, Sacramento, CA.

Jeri Meltzer (J)

California National Primate Research Center, University of California, Davis, Davis, CA.

Michele R Permenter (MR)

California National Primate Research Center, University of California, Davis, Davis, CA.

Julie A Vogt (JA)

California National Primate Research Center, University of California, Davis, Davis, CA.

Arne Ekstrom (A)

Department of Psychology, University of California, Davis, CA.
Center for Neuroscience, University of California, Davis, CA.

Carol A Barnes (CA)

Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ.
Division of Neural Systems, Memory and Aging, University of Arizona, Tucson, AZ.
Departments of Psychology, Neurology and Neuroscience, University of Arizona, Tucson, AZ.

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Classifications MeSH