The mammillothalamic tracts: Age‐related conspicuity and normative morphometry on brain magnetic resonance imaging-Reference-Cited by-同舟云学术

The mammillothalamic tracts: Age‐related conspicuity and normative morphometry on brain magnetic resonance imaging

Published:2020-04-30 Issue:6 Volume:33 Page:911-919
ISSN:0897-3806
Container-title:Clinical Anatomy
language:en
Short-container-title:Clin. Anat.

Author:

Ghaderi Niri Sanaz¹,Khalaf Alexander M.¹,Massoud Tarik F.¹^ORCID

Affiliation:

1. Division of Neuroimaging and Neurointervention, and Stanford Initiative for Multimodality neuro‐Imaging in Translational Anatomy Research (SIMITAR), Department of RadiologyStanford University School of Medicine Stanford California USA

Publisher

Wiley

Subject

General Medicine,Histology,Anatomy

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ca.23595

Reference51 articles.

1. Perinatal development of the mammillothalamic tract and innervation of the anterior thalamic nuclei

2. Mammillothalamic and Mammillotegmental Tracts as New Targets for Dementia and Epilepsy Treatment

3. Memory and the mammillothalamic tract;Berger J. R.;AJNR. American Journal of Neuroradiology,2004

4. The Evans’ Index revisited: New cut-off levels for use in radiological assessment of ventricular enlargement in the elderly

5. The Mamillothalamic Tract Is a Good Landmark for the Anterior Border of the Subthalamic Nucleus on Axial MR Images

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Do the mammillary bodies atrophy with aging? A magnetic resonance imaging study;Surgical and Radiologic Anatomy;2023-07-14

2. MR morphometry in epileptology: progress and perspectives;Voprosy neirokhirurgii imeni N.N. Burdenko;2023

3. Cerebral blood flow regulates iron overload in the cerebral nuclei of hemodialysis patients with anemia;Journal of Cerebral Blood Flow & Metabolism;2022-12-22

4. Delineation of intermammillary relationships using magnetic resonance imaging;Surgical and Radiologic Anatomy;2022-12-20

5. MR-self Noise2Noise: self-supervised deep learning–based image quality improvement of submillimeter resolution 3D MR images;European Radiology;2022-11-15