Characterizing the human hippocampus in aging and Alzheimer’s disease using a computational atlas de...
Characterizing the human hippocampus in aging and Alzheimer’s disease using a computational atlas derived from ex vivo MRI and histology
About this item
Full title
Author / Creator
Adler, Daniel H. , Wisse, Laura E. M. , Ittyerah, Ranjit , Pluta, John B. , Ding, Song-Lin , Xie, Long , Wang, Jiancong , Kadivar, Salmon , Robinson, John L. , Schuck, Theresa , Trojanowski, John Q. , Grossman, Murray , Detre, John A. , Elliott, Mark A. , Toledo, Jon B. , Liu, Weixia , Pickup, Stephen , Miller, Michael I. , Das, Sandhitsu R. , Wolk, David A. and Yushkevich, Paul A.
Publisher
United States: National Academy of Sciences
Journal title
Language
English
Formats
Publication information
Publisher
United States: National Academy of Sciences
Subjects
More information
Scope and Contents
Contents
Although the hippocampus is one of the most studied structures in the human brain, limited quantitative data exist on its 3D organization, anatomical variability, and effects of disease on its subregions. Histological studies provide restricted reference information due to their 2D nature. In this paper, high-resolution (∼200 × 200 × 200 μm³) ex vi...
Alternative Titles
Full title
Characterizing the human hippocampus in aging and Alzheimer’s disease using a computational atlas derived from ex vivo MRI and histology
Authors, Artists and Contributors
Author / Creator
Wisse, Laura E. M.
Ittyerah, Ranjit
Pluta, John B.
Ding, Song-Lin
Xie, Long
Wang, Jiancong
Kadivar, Salmon
Robinson, John L.
Schuck, Theresa
Trojanowski, John Q.
Grossman, Murray
Detre, John A.
Elliott, Mark A.
Toledo, Jon B.
Liu, Weixia
Pickup, Stephen
Miller, Michael I.
Das, Sandhitsu R.
Wolk, David A.
Yushkevich, Paul A.
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5910869
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5910869
Other Identifiers
ISSN
0027-8424
E-ISSN
1091-6490
DOI
10.1073/pnas.1801093115
