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Quantitative and histologically validated measures of the entorhinal subfields in ex vivo MRI.
Oltmer, Jan; Slepneva, Natalya; Llamas Rodriguez, Josue; Greve, Douglas N; Williams, Emily M; Wang, Ruopeng; Champion, Samantha N; Lang-Orsini, Melanie; Nestor, Kimberly; Fernandez-Ros, Nídia; Fischl, Bruce; Frosch, Matthew P; Magnain, Caroline; van der Kouwe, Andre J W; Augustinack, Jean C.
Affiliation
  • Oltmer J; Department of Radiology, Athinoula A. Martinos Center, Massachusetts General Hospital, Charlestown, MA, USA.
  • Slepneva N; Harvard Medical School, Boston, MA, USA.
  • Llamas Rodriguez J; Department of Radiology, Athinoula A. Martinos Center, Massachusetts General Hospital, Charlestown, MA, USA.
  • Greve DN; Department of Radiology, Athinoula A. Martinos Center, Massachusetts General Hospital, Charlestown, MA, USA.
  • Williams EM; Department of Radiology, Athinoula A. Martinos Center, Massachusetts General Hospital, Charlestown, MA, USA.
  • Wang R; Harvard Medical School, Boston, MA, USA.
  • Champion SN; Department of Radiology, Athinoula A. Martinos Center, Massachusetts General Hospital, Charlestown, MA, USA.
  • Lang-Orsini M; Department of Radiology, Athinoula A. Martinos Center, Massachusetts General Hospital, Charlestown, MA, USA.
  • Nestor K; Department of Neuropathology, Massachusetts General Hospital, Boston, MA, USA.
  • Fernandez-Ros N; Department of Neuropathology, Massachusetts General Hospital, Boston, MA, USA.
  • Fischl B; Department of Radiology, Athinoula A. Martinos Center, Massachusetts General Hospital, Charlestown, MA, USA.
  • Frosch MP; Department of Radiology, Athinoula A. Martinos Center, Massachusetts General Hospital, Charlestown, MA, USA.
  • Magnain C; Department of Radiology, Athinoula A. Martinos Center, Massachusetts General Hospital, Charlestown, MA, USA.
  • van der Kouwe AJW; Harvard Medical School, Boston, MA, USA.
  • Augustinack JC; CSAIL, Cambridge, MA, USA.
Brain Commun ; 4(3): fcac074, 2022.
Article in En | MEDLINE | ID: mdl-35620167
ABSTRACT
Neuroimaging studies have routinely used hippocampal volume as a measure of Alzheimer's disease severity, but hippocampal changes occur too late in the disease process for potential therapies to be effective. The entorhinal cortex is one of the first cortical areas affected by Alzheimer's disease; its neurons are especially vulnerable to neurofibrillary tangles. Entorhinal atrophy also relates to the conversion from non-clinical to clinical Alzheimer's disease. In neuroimaging, the human entorhinal cortex has so far mostly been considered in its entirety or divided into a medial and a lateral region. Cytoarchitectonic differences provide the opportunity for subfield parcellation. We investigated the entorhinal cortex on a subfield-specific level-at a critical time point of Alzheimer's disease progression. While MRI allows multidimensional quantitative measurements, only histology provides enough accuracy to determine subfield boundaries-the pre-requisite for quantitative measurements within the entorhinal cortex. This study used histological data to validate ultra-high-resolution 7 Tesla ex vivo MRI and create entorhinal subfield parcellations in a total of 10 pre-clinical Alzheimer's disease and normal control cases. Using ex vivo MRI, eight entorhinal subfields (olfactory, rostral, medial intermediate, intermediate, lateral rostral, lateral caudal, caudal, and caudal limiting) were characterized for cortical thickness, volume, and pial surface area. Our data indicated no influence of sex, or Braak and Braak staging on volume, cortical thickness, or pial surface area. The volume and pial surface area for mean whole entorhinal cortex were 1131 ± 55.72 mm3 and 429 ± 22.6 mm2 (mean ± SEM), respectively. The subfield volume percentages relative to the entire entorhinal cortex were olfactory 18.73 ± 1.82%, rostral 14.06 ± 0.63%, lateral rostral 14.81 ± 1.22%, medial intermediate 6.72 ± 0.72%, intermediate 23.36 ± 1.85%, lateral caudal 5.42 ± 0.33%, caudal 10.99 ± 1.02%, and caudal limiting 5.91 ± 0.40% (all mean ± SEM). Olfactory and intermediate subfield revealed the most extensive intra-individual variability (cross-subject variance) in volume and pial surface area. This study provides validated measures. It maps individuality and demonstrates human variability in the entorhinal cortex, providing a baseline for approaches in individualized medicine. Taken together, this study serves as a ground-truth validation study for future in vivo comparisons and treatments.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Brain Commun Year: 2022 Type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Brain Commun Year: 2022 Type: Article Affiliation country: United States