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Hot Topics in Research: Preventive Neuroradiology in Brain Aging and Cognitive Decline

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Specialty Neurology
Date 2015 Jun 6
PMID 26045577
Citations 8
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Abstract

Preventive neuroradiology is a new concept supported by growing literature. The main rationale of preventive neuroradiology is the application of multimodal brain imaging toward early and subclinical detection of brain disease and subsequent preventive actions through identification of modifiable risk factors. An insightful example of this is in the area of age-related cognitive decline, mild cognitive impairment, and dementia with potentially modifiable risk factors such as obesity, diet, sleep, hypertension, diabetes, depression, supplementation, smoking, and physical activity. In studying this link between lifestyle and cognitive decline, brain imaging markers may be instrumental as quantitative measures or even indicators of early disease. The purpose of this article is to provide an overview of the major studies reflecting how lifestyle factors affect the brain and cognition aging. In this hot topics review, we will specifically focus on obesity and physical activity.

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References
1.
Morra J, Tu Z, Apostolova L, Green A, Avedissian C, Madsen S . Automated mapping of hippocampal atrophy in 1-year repeat MRI data from 490 subjects with Alzheimer's disease, mild cognitive impairment, and elderly controls. Neuroimage. 2008; 45(1 Suppl):S3-15. PMC: 2733354. DOI: 10.1016/j.neuroimage.2008.10.043. View

2.
Liang K, Mintun M, Fagan A, Goate A, Bugg J, Holtzman D . Exercise and Alzheimer's disease biomarkers in cognitively normal older adults. Ann Neurol. 2010; 68(3):311-8. PMC: 2936720. DOI: 10.1002/ana.22096. View

3.
Boyle C, Raji C, Erickson K, Lopez O, Becker J, Gach H . Physical activity, body mass index, and brain atrophy in Alzheimer's disease. Neurobiol Aging. 2014; 36 Suppl 1:S194-S202. PMC: 4303036. DOI: 10.1016/j.neurobiolaging.2014.05.036. View

4.
Raji C, Ho A, Parikshak N, Becker J, Lopez O, Kuller L . Brain structure and obesity. Hum Brain Mapp. 2009; 31(3):353-64. PMC: 2826530. DOI: 10.1002/hbm.20870. View

5.
Braskie M, Small G, Bookheimer S . Vascular health risks and fMRI activation during a memory task in older adults. Neurobiol Aging. 2008; 31(9):1532-42. PMC: 2965069. DOI: 10.1016/j.neurobiolaging.2008.08.016. View