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Hippocampal subfield volumetry from structural isotropic 1 mm 3 <scp>MRI</scp> scans: A note of caution
- Source :
- Human Brain Mapping, Human Brain Mapping, Wiley, 2021, 42 (2), pp.539-550. ⟨10.1002/hbm.25234⟩, Human brain mapping, vol 42, iss 2
- Publication Year :
- 2020
- Publisher :
- Wiley, 2020.
-
Abstract
- International audience; Spurred by availability of automatic segmentation software, in vivo MRI investigations of human hippocampal subfield volumes have proliferated in the recent years. However, a majority of these studies apply automatic segmentation to MRI scans with approximately 1 × 1 × 1 mm3 resolution, a resolution at which the internal structure of the hippocampus can rarely be visualized. Many of these studies have reported contradictory and often neurobiologically surprising results pertaining to the involvement of hippocampal subfields in normal brain function, aging, and disease. In this commentary, we first outline our concerns regarding the utility and validity of subfield segmentation on 1 × 1 × 1 mm3 MRI for volumetric studies, regardless of how images are segmented (i.e., manually or automatically). This image resolution is generally insufficient for visualizing the internal structure of the hippocampus, particularly the stratum radiatum lacunosum moleculare, which is crucial for valid and reliable subfield segmentation. Second, we discuss the fact that automatic methods that are employed most frequently to obtain hippocampal subfield volumes from 1 × 1 × 1 mm3 MRI have not been validated against manual segmentation on such images. For these reasons, we caution against using volumetric measurements of hippocampal subfields obtained from 1 × 1 × 1 mm3 images.
- Subjects :
- 1 mm3
genetic structures
Cortical Aβ
Computer science
FreeSurfer
Hippocampal formation
Stratum radiatum
050105 experimental psychology
03 medical and health sciences
Cognition
0302 clinical medicine
White matter hyperintensities
0501 psychology and cognitive sciences
Radiology, Nuclear Medicine and imaging
Segmentation
Image resolution
ComputingMilieux_MISCELLANEOUS
Brain function
volumetry
Radiological and Ultrasound Technology
business.industry
05 social sciences
Neurosciences
Experimental Psychology
Pattern recognition
hippocampal subfields
nervous system
Neurology
Automatic segmentation
Cognitive Sciences
[SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]
Manual segmentation
Neurology (clinical)
Artificial intelligence
Anatomy
business
030217 neurology & neurosurgery
MRI
Subjects
Details
- ISSN :
- 10970193 and 10659471
- Volume :
- 42
- Database :
- OpenAIRE
- Journal :
- Human Brain Mapping
- Accession number :
- edsair.doi.dedup.....df12d79336979635dedfbcfd5857a489
- Full Text :
- https://doi.org/10.1002/hbm.25234