Accuracy of automated amygdala MRI segmentation approaches in Huntington's disease in the IMAGE‐HD cohort-Reference-Cited by-同舟云学术

Accuracy of automated amygdala MRI segmentation approaches in Huntington's disease in the IMAGE‐HD cohort

Published:2020-02-07 Issue:7 Volume:41 Page:1875-1888
ISSN:1065-9471
Container-title:Human Brain Mapping
language:en
Short-container-title:Hum Brain Mapp

Author:

Alexander Bonnie¹²^ORCID,Georgiou‐Karistianis Nellie¹^ORCID,Beare Richard²³,Ahveninen Lotta M.¹,Lorenzetti Valentina⁴,Stout Julie C.¹,Glikmann‐Johnston Yifat¹^ORCID

Affiliation:

1. Turner Institute for Brain and Mental Health, School of Psychological Sciences Monash University Melbourne Victoria Australia

2. Murdoch Children's Research Institute Melbourne Victoria Australia

3. Department of Medicine Monash University Melbourne Victoria Australia

4. School of Psychology Australian Catholic University Melbourne Victoria Australia

Funder

National Health and Medical Research Council

CHDI Foundation

Publisher

Wiley

Subject

Clinical Neurology,Neurology,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology,Anatomy

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/hbm.24918

Reference58 articles.

1. Reduced amygdala volumes are related to motor and cognitive signs in Huntington's disease: The IMAGE-HD study

2. A reproducible evaluation of ANTs similarity metric performance in brain image registration

3. Reduced basal ganglia volume associated with the gene for Huntington's disease in asymptomatic at-risk persons

4. Onset and rate of striatal atrophy in preclinical Huntington disease

5. Huntington disease

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