Multimedia Curriculum
Understanding neurocognitive aging is critical to the health and well-being of our aging population and will greatly impact our world. Therefore, expanding our experience and knowledge of this field is imperative. Our nuerocognitive aging videos focus on five separate areas: (1) The Aging Brain (2) Health Disparities & Brian Aging (3) Alzheimer's Disease (AD) Risk Factors (4) Methodological Issues & Brain Aging (5) Neuroimaging & Data Analysis.
For each module, there is a "study guide" to follow along as you view the videos. Additionally, there is a "post-survey" for each video that needs to be completed after watching the video.
If you are an instructor and wish to present the curriculum to your students, please contact us at naare@fullerton.edu to receive the "Instructor's summary", which includes video summary and objectives, answers to the study guide and discussion questions.
The Aging Brain
In this video, we discuss the global aging phenomenon, the differences in normal and non-normal brain and cognitive aging, and challenges and opportunities in the field of aging research.
Health Disparities & Brain Aging
In this video, we explore health disparities and health equity, and factors that are related to inequitable distribution of health, aging, and Alzheimer's disease, specifically focusing on social determinants of health and comorbidities. We also discuss addressing Alzheimer's disease and related dementia's health disparities through bridging the educational equity gap.
Alzheimer's Disease (AD) Risk Factors
In this video, we discuss some risk factors for Alzheimer's disease including non-modifiable risk factors (such as genetic and family history) and modifiable risk factors (such as exercise, diet, sleep, and cardiovascular health).
Methodological Issues & Brain Aging
In this video, we discuss introductory study designs in neurocognitive aging research including specific types of observational study designs (cross-sectional, cohort study, and case control), as well as experimental study designs (randomized clinical trial). We also address some methodological issues in neurocognitive aging research such as selection bias.
Neuroimaging & Data Analysis
In this video, we review various neuroimaging techniques (such as structural and functional MRI) that provide data about brain structure and function, and we discuss some methods for analyzing that data including the basic steps for analyzing fMRI scans, the purpose of applying statistical models or machine learning to neuroimaging data as well as possible paths toward becoming an expert in neuroimaging analytics.