MILD COGNITIVE IMPAIRMENT CLASSIFICATION USING A NOVEL FINER-SCALE BRAIN CONNECTOME.

Abstract

Mild cognitive impairment (MCI) is recognized as a precursor to Alzheimer's disease (AD), a progressive and irreversible neurodegenerative disorder of the brain. The neurodegeneration of brain connectivity networks plays a pivotal role in the development and progression of MCI. Traditionally, brain networks are generated using coarse-grained brain regions, where the regions serve as nodes and their functional or structural connections are used as edges. Recently, a novel finer scale brain folding patterns named 3-hinge gyrus (3HG) was identified, which is defined as the conjunctions coming from three directions on gyral crests. 3HGs have been shown playing an important role in brain network and can serve as hubs. In this study, our objective is to construct a novel 3HG-based finer-scale brain connectome and comprehensively compare its performance with traditional region-based connectome in predicting MCI against Normal Controls (NC). The results of extensive experiments demonstrate the superior performance of 3HG-based brain connectome, shedding light on the potential of 3HG-based connectomes in capturing intricate neurodegenerative patterns associated with MCI and AD.