Literature DB >> 30472216

MRI-based evaluation of structural degeneration in the ageing brain: Pathophysiology and assessment.

Lukas A Grajauskas1, William Siu2, George Medvedev3, Hui Guo4, Ryan C N D'Arcy5, Xiaowei Song6.   

Abstract

Advances in MRI technology have significantly contributed to our ability to understand the process of brain ageing, allowing us to track and assess changes that occur during normal ageing and neurological conditions. This paper focuses on reviewing structural changes of the ageing brain that are commonly seen using MRI, summarizing the pathophysiology, prevalence, and neuroanatomical distribution of changes including atrophy, lacunes, white matter lesions, and dilated perivascular spaces. We also review the clinically accessible methodology for assessing these MRI-based changes, covering visual rating scales, as well computer-aided and fully automated methods. Subsequently, we consider novel assessment methods designed to evaluate changes across the whole brain, and finally discuss new directions in this field of research.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Brain ageing; MRI assessment; Neurodegeneration; Pathophysiology; Structural brain changes

Year:  2018        PMID: 30472216     DOI: 10.1016/j.arr.2018.11.004

Source DB:  PubMed          Journal:  Ageing Res Rev        ISSN: 1568-1637            Impact factor:   10.895


  11 in total

1.  Brain-predicted age difference is associated with cognitive processing in later-life.

Authors:  Jo Wrigglesworth; Nurathifah Yaacob; Phillip Ward; Robyn L Woods; John McNeil; Elsdon Storey; Gary Egan; Anne Murray; Raj C Shah; Sharna D Jamadar; Ruth Trevaks; Stephanie Ward; Ian H Harding; Joanne Ryan
Journal:  Neurobiol Aging       Date:  2021-10-20       Impact factor: 4.673

2.  Cognition and brain health among older adults in Iceland: the AGES-Reykjavik study.

Authors:  Vaka Valsdóttir; Brynja Björk Magnúsdóttir; Milan Chang; Sigurdur Sigurdsson; Vilmundur Gudnason; Lenore J Launer; María K Jónsdóttir
Journal:  Geroscience       Date:  2022-08-17       Impact factor: 7.581

3.  Brain age predicts long-term recovery in post-stroke aphasia.

Authors:  Sigfus Kristinsson; Natalie Busby; Christopher Rorden; Roger Newman-Norlund; Dirk B den Ouden; Sigridur Magnusdottir; Haukur Hjaltason; Helga Thors; Argye E Hillis; Olafur Kjartansson; Leonardo Bonilha; Julius Fridriksson
Journal:  Brain Commun       Date:  2022-10-06

4.  Having a stimulating lifestyle is associated with maintenance of white matter integrity with age.

Authors:  Gabriel Ducharme-Laliberté; Samira Mellah; Sylvie Belleville
Journal:  Brain Imaging Behav       Date:  2022-01-17       Impact factor: 3.224

5.  Comparison of the effects of open vs. closed skill exercise on the acute and chronic BDNF, IGF-1 and IL-6 response in older healthy adults.

Authors:  Tom Behrendt; Franziska Kirschnick; Lasse Kröger; Phillip Beileke; Maxim Rezepin; Tanja Brigadski; Volkmar Leßmann; Lutz Schega
Journal:  BMC Neurosci       Date:  2021-11-25       Impact factor: 3.288

6.  Deep transfer learning of structural magnetic resonance imaging fused with blood parameters improves brain age prediction.

Authors:  Bingyu Ren; Yingtong Wu; Liumei Huang; Zhiguo Zhang; Bingsheng Huang; Huajie Zhang; Jinting Ma; Bing Li; Xukun Liu; Guangyao Wu; Jian Zhang; Liming Shen; Qiong Liu; Jiazuan Ni
Journal:  Hum Brain Mapp       Date:  2021-12-16       Impact factor: 5.038

7.  Detection of subtle white matter lesions in MRI through texture feature extraction and boundary delineation using an embedded clustering strategy.

Authors:  Kokhaur Ong; David M Young; Sarina Sulaiman; Siti Mariyam Shamsuddin; Norzaini Rose Mohd Zain; Hilwati Hashim; Kahhay Yuen; Stephan J Sanders; Weimiao Yu; Seepheng Hang
Journal:  Sci Rep       Date:  2022-03-15       Impact factor: 4.379

8.  Factors Influencing Change in Brain-Predicted Age Difference in a Cohort of Healthy Older Individuals.

Authors:  Jo Wrigglesworth; Ian H Harding; Phillip Ward; Robyn L Woods; Elsdon Storey; Bernadette Fitzgibbon; Gary Egan; Anne Murray; Raj C Shah; Ruth E Trevaks; Stephanie Ward; John J McNeil; Joanne Ryan
Journal:  J Alzheimers Dis Rep       Date:  2022-04-04

9.  Qualitative Assessment of Longitudinal Changes in Phenocopy Frontotemporal Dementia.

Authors:  Rozanna Meijboom; Rebecca M E Steketee; Lize C Jiskoot; Esther E Bron; Aad van der Lugt; John C van Swieten; Marion Smits
Journal:  Front Neurol       Date:  2019-11-14       Impact factor: 4.003

10.  Normal-sized basal ganglia perivascular space related to motor phenotype in Parkinson freezers.

Authors:  Wen Lv; Yumei Yue; Ting Shen; Xingyue Hu; Lili Chen; Fei Xie; Wenying Zhang; Baorong Zhang; Yaxing Gui; Hsin-Yi Lai; Fang Ba
Journal:  Aging (Albany NY)       Date:  2021-07-27       Impact factor: 5.682

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