Computational Neuroscience
Longitudinal studies are research designs that involve repeated observations of the same variables over an extended period of time. This approach allows researchers to track changes and developments in subjects, making it particularly useful in understanding the progression of conditions like Alzheimer's disease and the associated synaptic degeneration. By collecting data at multiple time points, these studies help identify patterns, correlations, and causal relationships that might not be apparent in cross-sectional studies.
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