This analysis of nearly 50,000 brain scans has uncovered five distinct patterns of brain atrophy related to aging and neurodegenerative diseases, linking them to lifestyle factors.
The ability to grasp the complex interaction between brain anatomy changes and aging was previously modest; this study significantly advances our understanding of these interactions.
Machine-learning approaches have previously struggled with limited scope; however, this study employed a deep-learning method over eight years, revealing systematic brain changes associated with decline.
This research offers a methodological tour de force that could reshape our insights into aging and neurodegenerative disease, leading to broader applications in health science.
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