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Updated: Jan 22, 2026

High-resolution In Vivo Manual Segmentation Protocol for Human Hippocampal Subfields Using 3T Magnetic Resonance Imaging
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Progress update from the hippocampal subfields group.

Rosanna K Olsen1,2, Valerie A Carr3, Ana M Daugherty4,5,6

  • 1Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada.

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|June 28, 2019
PubMed
Summary
This summary is machine-generated.

Researchers are developing a standardized magnetic resonance imaging (MRI) protocol for segmenting medial temporal lobe regions. This harmonized approach will improve data integration across studies investigating neurodegenerative diseases.

Keywords:
CytoarchitectureHippocampusHistologyHumanNeuroanatomyNeuroimagingStructural imagingVolumetryex vivo

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Area of Science:

  • Neuroimaging
  • Neuroanatomy

Background:

  • Inconsistent segmentation protocols for medial temporal lobe (MTL) regions and hippocampal subfields in in vivo magnetic resonance imaging (MRI) impede cross-study data integration.
  • This heterogeneity limits the ability to combine findings from different research groups, hindering progress in understanding neurological conditions.

Purpose of the Study:

  • To develop a harmonized, validated, and reliable protocol for segmenting MTL regions and hippocampal subfields.
  • The protocol aims to standardize MRI analysis across international research laboratories.

Main Methods:

  • An international working group, funded by the EU Joint Programme-Neurodegenerative Disease Research (JPND), is developing the protocol.
  • The process involves expert consensus procedures and utilizes a novel postmortem dataset for validation.

Main Results:

  • A draft protocol for MTL segmentation has been developed.
  • Initial reliability tests and consensus procedures have yielded positive results, demonstrating feasibility.

Conclusions:

  • A harmonized segmentation protocol will enable standardization of methods for MTL research globally.
  • This standardization is crucial for integrating findings and advancing research in neurodegenerative diseases affecting the medial temporal lobe.