Characterizing the human hippocampus in aging and Alzheimer’s disease using a computational atlas derived from ex vivo MRI and histology Article Swipe

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Hippocampal formation Hippocampus Neuroscience Ex vivo Pathology Histology Alzheimer's disease In vivo Disease Biology Medicine Psychology Biotechnology

Daniel Adler , Laura E.M. Wisse , Ranjit Ittyerah , John Pluta , Song‐Lin Ding , Long Xie , Jiancong Wang , Salmon Kadivar , John Robinson , Theresa Schuck , John Q. Trojanowski , Murray Grossman , John A. Detre , Mark A. Elliott , Jon B. Toledo , Weixia Liu , Stephen Pickup , Michael I. Miller , Sandhitsu R. Das , David A. Wolk , Paul A. Yushkevich ·

YOU? · · 2018 · Open Access · · DOI: https://doi.org/10.1073/pnas.1801093115 · OA: W2795315459

Significance There has been increasing interest in hippocampal subfield morphometry in aging and disease using in vivo MRI. However, research on in vivo morphometry is hampered by the lack of a definitive reference model describing regional effects of aging and disease pathology on the hippocampus. To address this limitation, we built a 3D probabilistic atlas of the hippocampus combining postmortem MRI with histology, allowing us to investigate Alzheimer’s disease (AD)-related effects on hippocampal subfield morphometry, derived from histology. Our results support the hypothesis of differential involvement of hippocampal subfields in AD, providing further impetus for more granular study of the hippocampus in aging and disease during life. Furthermore, this atlas provides an important anatomical reference for hippocampal subfield research.