Subtle signs of Alzheimer's disease can emerge decades before a diagnosis-;often in the form of irregular behaviors that reflect very early stages of brain dysfunction.
Gladstone InstitutesNov 26 2024 Subtle signs of Alzheimer's disease can emerge decades before a diagnosis-;often in the form of irregular behaviors that reflect very early stages of brain dysfunction.
We've shown the potential of machine learning to revolutionize how we analyze behaviors indicative of early abnormalities in brain function. We leveraged a valuable tool that opens the door to a more complete understanding of devastating brain disorders and how they begin." The scientists used a machine learning platform called VAME, short for "Variational Animal Motion Embedding," to analyze video footage of mice exploring an open arena.
For the Gladstone study using VAME, the team evaluated two types of mice that simulated different aspects of Alzheimer's. In both models, the machine learning tool identified a significantly increased level of "disorganized behavior" as the mice aged. For example, the mice exhibited unusual patterns of behavior and transitioned more often between different activities-;factors that might be associated with memory and attention deficits.
Evaluating a potential treatment Adding another dimension to their new study, the Gladstone team used VAME to learn whether a potential therapeutic intervention for Alzheimer's would prevent the disorganized behavior in mice.
Alzheimer's Disease Blood Brain Cell Efficacy Neurological Disease Research Technology Transgenic
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