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Full-Text Articles in Social and Behavioral Sciences
Reinforcement Learning, Error-Related Negativity, And Genetic Risk For Alzheimer's Disease, Christina Marie Figueroa
Reinforcement Learning, Error-Related Negativity, And Genetic Risk For Alzheimer's Disease, Christina Marie Figueroa
Dissertations (1934 -)
Reinforcement learning (RL) has been widely used as a model of animal and human learning and decision-making. The neural networks underlying RL involve many of the same structures primarily affected by Alzheimer’s disease (AD) such as the hippocampus. Yet, RL and non-invasive evaluation of its neural underpinnings have been underutilized as a framework for understanding disease pathology and its pre-clinical states. This study aimed to provide a novel approach for assessing subtle changes in asymptomatic apolipoprotein-E (APOE) carriers and non-carriers. Electroencephalography was collected from forty APOE genotyped older adults (Male n = 11; Mage = 79.30; Meducation = 14.88 years) …
Predicting Cognitive Decline In Older Adults Through Multi-Voxel Pattern Analysis, Nathan Hantke
Predicting Cognitive Decline In Older Adults Through Multi-Voxel Pattern Analysis, Nathan Hantke
Dissertations (1934 -)
Alzheimer's disease (AD) is a progressive neurodegenerative disorder that is associated with cognitive and structural decline beyond what is seen in normal, healthy aging. Functional magnetic resonance imaging (fMRI) research indicates that prior to the onset of measureable cognitive impairment, individuals at-risk for AD demonstrate different patterns of neural activation than individuals at lower risk. Thus, differences in task-activated fMRI may be beneficial in predicting cognitive decline at a "pre-symptomatic" stage. The present study utilizes multi-voxel pattern analysis (MVPA) of baseline fMRI task-related activation to predict cognitive decline, with the hypothesis that famous and non-famous name task activation will discriminate …