Classification and characterization of periventricular and deep white matter hyperintensities on MRI: A study in older adults-Reference-Cited by-同舟云学术

Classification and characterization of periventricular and deep white matter hyperintensities on MRI: A study in older adults

Published:2018-04 Issue: Volume:170 Page:174-181
ISSN:1053-8119
Container-title:NeuroImage
language:en
Short-container-title:NeuroImage

Author:

Griffanti Ludovica,Jenkinson Mark,Suri Sana,Zsoldos Enikő,Mahmood Abda,Filippini Nicola,Sexton Claire E,Topiwala Anya,Allan Charlotte,Kivimäki Mika,Singh-Manoux Archana,Ebmeier Klaus P.,Mackay Clare E.,Zamboni Giovanna

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology

Reference27 articles.

1. Sub-threshold depressive symptoms and brain structure: A magnetic resonance imaging study within the Whitehall II cohort;Allan;J. Affect. Disord.,2016

2. Is the whole brain periventricular?;Barkhof;J. Neurol. Neurosurg. Psychiatry,2006

3. Diffusion tensor and magnetization transfer MRI measurements of periventricular white matter hyperintensities in old age;Bastin;Neurobiol. Aging,2009

4. The association between cognitive function and white matter lesion location in older adults: a systematic review;Bolandzadeh;BMC Neurol.,2012

5. Stroke risk profile: adjustment for antihypertensive medication. The Framingham Study;D'Agostino;Stroke,1994

Cited by 208 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. Periventricular and Deep White Matter Hyperintensity Thresholds in Aging: Exponential Progression, Cognitive Decline, and Neuroanatomic Atrophy;2024-09-04

2. The genetic and environmental etiology of novel frequency‐driven regional parcellations of abnormal white matter;American Journal of Medical Genetics Part B: Neuropsychiatric Genetics;2024-08-16

3. Using eZIS to Predict Progression from MCI to Dementia in Three Years;Diagnostics;2024-08-15

4. Unique brain injury patterns after proton vs photon radiotherapy for WHO grade 2-3 gliomas;The Oncologist;2024-08-10

5. Identifying sources of bias when testing three available algorithms for quantifying white matter lesions: BIANCA, LPA and LGA;GeroScience;2024-08-08