MR of Aging and Dementia
Prashanthi Vemuri1

1Mayo Clinic, United States

Synopsis

Universally observed cognitive decline in the elderly due to the pathological aging of the brain will have a significant impact on public health. This presentation will aid in understanding 1) the recent advances in the field of aging and dementia; 2) MR methodologies that are used for the evaluation of age and dementia related brain changes specifically due to Alzheimer’s disease pathophysiology and cerebrovascular disease as tools for diagnosis, prognosis, measuring disease progression, and mechanistic inferences into the disease process in cognitive aging and dementia; and 3) open questions and directions in this research area for MR.

TARGET AUDIENCE

Scientists and Clinicians interested in the use of MR for measuring brain changes associated with cognitive aging and dementia.

BACKGROUND

Universally observed cognitive decline in the elderly due to the pathological aging of the brain will have a significant impact on public health. Alzheimer’s disease (AD) pathophysiology and cerebrovascular disease (CVD) are the leading causes of age-related cognitive decline. While the hallmarks of AD are the presence of amyloid β (Aβ) plaques and neurofibrillary tangles, the downstream effects on neurodegeneration are the proximal cause of cognitive decline in AD dementia. The hallmarks of CVD are the presence of microvascular changes (white matter hyperintensities and microbleeds) and macrovascular changes (infarcts) which are associated with significant structural and functional brain changes. Even before the appearance of CVD, systemic vascular health has significant impact on brain structure and function.

PURPOSE

Given that the clinical assessment is unlikely to exactly match findings at autopsy in every subject in aging and dementia, in-vivo imaging measures, such as MRI that reflects disease stage and intensity have been found to be extremely useful. The value added to clinical assessment by MRI is that it is an independent non-invasive measure of disease in contrast to clinical diagnosis which is done on the basis of clinical examination and neuropsychological tests. Therefore, understanding the changes to the brain due to aging and pathology will aid in better use of MR as a tool for diagnosis, prognosis, measuring disease progression, differential diagnosis, and mechanistic inferences into the disease process.

OUTCOMES

The learning objectives of this talk are 1) understanding the advances in the field of aging and dementia; 2) MR methodologies (structural MRI, T2* GRE/SWI, FLAIR, DTI, task-free fMRI) that are used for the evaluation of age and dementia related brain changes specifically due to Alzheimer’s disease pathophysiology and cerebrovascular disease; and 3) open questions and directions in this research area for MR.

Acknowledgements

The NIH for funding support.

References

1. Jack CR, Jr., Knopman DS, Jagust WJ, Petersen RC, Weiner MW, Aisen PS, Shaw LM, Vemuri P, Wiste HJ, Weigand SD, et al: Tracking pathophysiological processes in Alzheimer's disease: an updated hypothetical model of dynamic biomarkers. Lancet Neurol 2013, 12:207-216.

2. Wardlaw JM, Smith EE, Biessels GJ, Cordonnier C, Fazekas F, Frayne R, Lindley RI, O'Brien JT, Barkhof F, Benavente OR, et al: Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration. Lancet neurology 2013, 12:822-838.

3. Vemuri P, Jack CR, Jr.: Role of structural MRI in Alzheimer's disease. Alzheimers Res Ther 2010, 2:23.

4. Vemuri P, Lesnick TG, Przybelski SA, Knopman DS, Lowe VJ, Graff-Radford J, Roberts RO, Mielke MM, Machulda MM, Petersen RC, Jack CR, Jr.: Age, vascular health, and Alzheimer disease biomarkers in an elderly sample. Ann Neurol 2017, 82:706-718.

Proc. Intl. Soc. Mag. Reson. Med. 26 (2018)