A harmonized, histology‐based protocol for selection of medial temporal lobe cortical subregion ranges on magnetic resonance imaging
Abstract Background The medial temporal lobe (MTL) has distinct cortical subregions that are differentially vulnerable to pathology and neurodegeneration in diseases such as Alzheimer’s disease. However, previous protocols for segmentation of MTL cortical subregions on magnetic resonance imaging (MRI) vary substantially across research groups, and have been informed by different cytoarchitectonic definitions, precluding consistent interpretations. The Hippocampal Subfields Group aims to create a harmonized, histology‐based protocol for segmentation of MTL cortical subregions that can reliably be applied to T2‐weighted MRI with high in‐plane resolution. Method Nissl‐stained sections from the temporal lobes of three human specimens (66‐90 years old; 2 female) were annotated by four expert neuroanatomists for the following MTL subregions: entorhinal cortex (ERC), Brodmann’s Area 35 (BA35; largely corresponding to “transentorhinal” cortex), Brodmann’s Area 36 (BA36), and parahippocampal cortex (PHC). On each histology section, the number of annotations and the spatial overlap of annotations were analyzed to determine the consensus of the anterior to posterior range of each structure. Gross anatomical landmarks, detectable on MRI and reliably corresponding with each range, were then selected to create an MRI ranging protocol. Feasibility of this MRI protocol was tested by two independent raters across four MRI scans (two healthy adults, two older adults), and agreement in range selection was assessed using Cohen’s kappa statistic. Result The proposed MTL ranging protocol is shown in Fig. 1 , and corresponding histology data substantiating the protocol is shown in Fig. 2 . MRI‐visible gross anatomical landmarks that reliably corresponded with the anterior or posterior range of each subregion on histology included the anterior‐most appearance of the collateral sulcus ( Fig. 3A ), hippocampal head ( Fig. 3B ), hippocampal body, and anterior calcarine fissure ( Fig. 3C ). This protocol demonstrated high feasibility when applied to MRI, with average kappa values of 0.75 ± 0.07, representing a “substantial” level of agreement of range selection. Conclusion Future directions include obtaining consensus on this protocol from the larger research community through a Delphi procedure, and expansion of the protocol to include slice‐by‐slice segmentation guidelines for full delineation. This harmonized, histology‐based protocol will facilitate critical research on MTL subregion vulnerability and their contributions to memory deficits in Alzheimer’s disease.
Authors
- Ana M. Daugherty (ORCID: https://orcid.org/0000-0002-9980-154X)
- Thanh P. Doan (ORCID: https://orcid.org/0000-0001-5700-0018)
- Ricardo Insausti (ORCID: https://orcid.org/0000-0001-6610-5882)
- Renaud La Joie (ORCID: https://orcid.org/0000-0003-2581-8100)
- David Berron (ORCID: https://orcid.org/0000-0003-1558-1883)
- Kelsey L. Canada (ORCID: https://orcid.org/0000-0002-0366-1555)
- Negar Mazloum‐Farzaghi (ORCID: https://orcid.org/0000-0002-8149-6858)
- Anne Maaß (ORCID: https://orcid.org/0000-0002-7889-795X)
- Olga Kedo (ORCID: https://orcid.org/0000-0002-0425-2323)
- Valerie A. Carr (ORCID: https://orcid.org/0000-0002-2969-2181)
- Craig E.L. Stark (ORCID: https://orcid.org/0000-0002-9334-8502)
- Robin de Florès (ORCID: https://orcid.org/0000-0003-3953-3392)
- Hannah Baumeister (ORCID: https://orcid.org/0000-0001-5503-6308)
- Susanne G. Mueller (ORCID: https://orcid.org/0000-0002-5053-2211)
- Jenna N. Adams (ORCID: https://orcid.org/0000-0002-6702-3851)
- Laura E.M. Wisse (ORCID: https://orcid.org/0000-0001-7504-3943)
- Anika Wuestefeld (ORCID: https://orcid.org/0000-0003-1779-3388)
- Paul A. Yushkevich (ORCID: https://orcid.org/0000-0001-8543-4016)
- Tammy Tran (ORCID: https://orcid.org/0000-0001-7728-9621)
- Rosanna K. Olsen (ORCID: https://orcid.org/0000-0002-2918-4152)
- Marshall A. Dalton (ORCID: https://orcid.org/0000-0003-4089-6801)
- Jean C. Augustinack (ORCID: https://orcid.org/0000-0002-3129-6671)
- Song‐Lin Ding (ORCID: https://orcid.org/0000-0002-7072-5272)
- Lei Wang (ORCID: https://orcid.org/0000-0003-3870-3388)
- Arnold Bakker (ORCID: https://orcid.org/0000-0003-0417-641X)
Institutions
- The University of Sydney (AU)
- Allen Institute for Brain Science (US)
- Harvard University (US)
- Johns Hopkins University (US)
- Inserm (FR)
- Forschungszentrum Jülich (DE)
- University of California, San Francisco (US)
- University of Toronto (CA)
- Wayne State University (US)
- Lund University (SE)
- University of California, Irvine (US)
- Norwegian University of Science and Technology (NO)
- Johns Hopkins Medicine (US)
- German Center for Neurodegenerative Diseases (DE)
- Baycrest Hospital (CA)
- The Ohio State University Wexner Medical Center (US)
- Massachusetts General Hospital (US)
- Normandie Université (FR)
- Institute for Neurodegenerative Disorders (US)
- Athinoula A. Martinos Center for Biomedical Imaging (US)
- Allen Institute (US)
- Cyceron (FR)
- Physiopathologie et imagerie des troubles neurologiques
- San Jose State University (US)
- University of Castilla-La Mancha (ES)
- University of Pennsylvania (US)
- Stanford University (US)
- Université de Caen Normandie (FR)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2024-12-01
- DOI
- https://doi.org/10.1002/alz.094891
- Primary Topic
- Advanced Neuroimaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00