Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

A Large-scale Comparison of Cortical and Subcortical Structural Segmentation Methods in Alzheimer’s Disease: a Statistical Approach

Jafar Zamani, Ali Sadr, View ORCID ProfileAmir-Homayoun Javadi
doi: https://doi.org/10.1101/2020.08.18.256321
Jafar Zamani
1School of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ali Sadr
1School of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: sadr@iust.ac.ir a.h.javadi@gmail.com
Amir-Homayoun Javadi
2School of Psychology, University of Kent, Canterbury, UK
3Institute of Behavioural Neuroscience, University College London, London, UK
4School of Rehabilitation, Tehran University of Medical Sciences, Tehran, Iran
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Amir-Homayoun Javadi
  • For correspondence: sadr@iust.ac.ir a.h.javadi@gmail.com
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Data/Code
  • Preview PDF
Loading

Abstract

Background Alzheimer’s disease (AD) is a neurodegenerative disease that leads to anatomical atrophy, as evidenced by magnetic resonance imaging (MRI). Automated segmentation methods are developed to help with the segmentation of different brain areas. However, their reliability has yet to be fully investigated. To have a more comprehensive understanding of the distribution of changes in AD, as well as investigating the reliability of different segmentation methods, in this study we compared volumes of cortical and subcortical brain segments, using automated segmentation methods in more than 60 areas between AD and healthy controls (HC).

Methods A total of 44 MRI images (22 AD and 22 HC, 50% females) were taken from the minimal interval resonance imaging in Alzheimer’s disease (MIRIAD) dataset. HIPS, volBrain, CAT and BrainSuite segmentation methods were used for the subfields of hippocampus, and the rest of the brain.

Results While HIPS, volBrain and CAT showed strong conformity with the past literature, BrainSuite misclassified several brain areas. Additionally, the volume of the brain areas that successfully discriminated between AD and HC showed a correlation with mini mental state examination (MMSE) scores. The two methods of volBrain and CAT showed a very strong correlation. These two methods, however, did not correlate with BrainSuite.

Conclusion Our results showed that automated segmentation methods HIPS, volBrain and CAT can be used in the classification of AD and HC. This is an indication that such methods can be used to inform researchers and clinicians of underlying mechanisms and progression of AD.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • http://doi.org/10.17605/OSF.IO/P3E4J

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Back to top
PreviousNext
Posted August 19, 2020.
Download PDF

Supplementary Material

Data/Code
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
A Large-scale Comparison of Cortical and Subcortical Structural Segmentation Methods in Alzheimer’s Disease: a Statistical Approach
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
A Large-scale Comparison of Cortical and Subcortical Structural Segmentation Methods in Alzheimer’s Disease: a Statistical Approach
Jafar Zamani, Ali Sadr, Amir-Homayoun Javadi
bioRxiv 2020.08.18.256321; doi: https://doi.org/10.1101/2020.08.18.256321
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
A Large-scale Comparison of Cortical and Subcortical Structural Segmentation Methods in Alzheimer’s Disease: a Statistical Approach
Jafar Zamani, Ali Sadr, Amir-Homayoun Javadi
bioRxiv 2020.08.18.256321; doi: https://doi.org/10.1101/2020.08.18.256321

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Neuroscience
Subject Areas
All Articles
  • Animal Behavior and Cognition (4397)
  • Biochemistry (9624)
  • Bioengineering (7118)
  • Bioinformatics (24928)
  • Biophysics (12658)
  • Cancer Biology (9985)
  • Cell Biology (14395)
  • Clinical Trials (138)
  • Developmental Biology (7986)
  • Ecology (12141)
  • Epidemiology (2067)
  • Evolutionary Biology (16021)
  • Genetics (10947)
  • Genomics (14774)
  • Immunology (9896)
  • Microbiology (23730)
  • Molecular Biology (9501)
  • Neuroscience (51037)
  • Paleontology (370)
  • Pathology (1544)
  • Pharmacology and Toxicology (2690)
  • Physiology (4035)
  • Plant Biology (8687)
  • Scientific Communication and Education (1512)
  • Synthetic Biology (2404)
  • Systems Biology (6453)
  • Zoology (1349)