Topological Data Analysis (TDA) is an innovative framework that utilises principles from algebraic topology to extract intrinsic patterns and structural features from complex, multi‐dimensional data.
A novel mathematical approach enables the identification of brain regions whose connectivity shifts in autism or aging, informing targeted brain stimulation therapies.
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