Literature DB >> 27449323

Cortical Thinning at Midlife: The PATH Through Life Study.

Marnie E Shaw1, Walter P Abhayaratna2, Perminder S Sachdev3,4, Kaarin J Anstey2, Nicolas Cherbuin2.   

Abstract

Cortical thinning is a part of normal ageing. Recent studies suggest that accelerated cortical thinning in vulnerable regions may be a useful biomarker for neuropathologies including Alzheimer's disease (AD). Longitudinal studies, which have largely focused on older adults, have provided estimates of normative rates and patterns of age-related cortical thinning. Very little, however, is known about healthy cortical thinning at midlife. Here we provide longitudinal estimates of age-related cortical thinning observed over 8 years, in a large (n = 404) group of healthy individuals aged 44-49 years at baseline, who were scanned with MRI (1.5T) on up to three occasions. Age-related cortical thinning was assessed across the whole cortex. We measured a mean annual decrease in cortical thickness of 0.26 % on the left and 0.17 % on the right hemisphere, and largely affecting frontal and cingulate cortices. Medial and lateral temporal regions were generally spared. Studying regions that are specifically vulnerable to-or spared from-healthy age-related cortical thinning at midlife may be important for the early identification of neurodegeneration, including AD.

Entities:  

Keywords:  Aging; Cortical thickness; Healthy; Longitudinal; MRI; Midlife

Mesh:

Year:  2016        PMID: 27449323     DOI: 10.1007/s10548-016-0509-z

Source DB:  PubMed          Journal:  Brain Topogr        ISSN: 0896-0267            Impact factor:   3.020


  7 in total

1.  Body mass index is associated with cortical thinning with different patterns in mid- and late-life.

Authors:  M E Shaw; P S Sachdev; W Abhayaratna; K J Anstey; N Cherbuin
Journal:  Int J Obes (Lond)       Date:  2017-10-10       Impact factor: 5.095

2.  Measurement of cortical thickness asymmetry in carotid occlusive disease.

Authors:  Iris Asllani; Pamelia Slattery; Alexander Fafard; Marykay Pavol; Ronald M Lazar; Randolph S Marshall
Journal:  Neuroimage Clin       Date:  2016-09-19       Impact factor: 4.881

3.  Brain structural differences between 73- and 92-year olds matched for childhood intelligence, social background, and intracranial volume.

Authors:  Stuart J Ritchie; David Alexander Dickie; Simon R Cox; Maria Del C Valdés Hernández; Ruth Sibbett; Alison Pattie; Devasuda Anblagan; Paul Redmond; Natalie A Royle; Janie Corley; Susana Muñoz Maniega; Adele M Taylor; Sherif Karama; Tom Booth; Alan J Gow; John M Starr; Mark E Bastin; Joanna M Wardlaw; Ian J Deary
Journal:  Neurobiol Aging       Date:  2017-10-16       Impact factor: 4.673

4.  Measurement of Cortical Atrophy and Its Correlation to Memory Impairment in Patients With Asymptomatic Carotid Artery Stenosis Based on VBM-DARTEL.

Authors:  Peijiong Wang; Husule Cai; Rutao Luo; Zihao Zhang; Dong Zhang; Yan Zhang
Journal:  Front Aging Neurosci       Date:  2021-07-05       Impact factor: 5.750

5.  Different Cortical Thinning Patterns Depending on Their Prognosis in Individuals with Subjective Cognitive Decline.

Authors:  Eun Ye Lim; Yong Soo Shim; Yun Jeong Hong; Seon Young Ryu; A Hyun Cho; Dong Won Yang
Journal:  Dement Neurocogn Disord       Date:  2019-12-24

6.  Towards individualized cortical thickness assessment for clinical routine.

Authors:  Marlene Tahedl
Journal:  J Transl Med       Date:  2020-04-03       Impact factor: 5.531

7.  Midlife aerobic exercise and brain structural integrity: Associations with age and cardiorespiratory fitness.

Authors:  Takashi Tarumi; Tsubasa Tomoto; Justin Repshas; Ciwen Wang; Linda S Hynan; C Munro Cullum; David C Zhu; Rong Zhang
Journal:  Neuroimage       Date:  2020-10-29       Impact factor: 6.556

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.