Identification of Mild Cognitive Impairment Conversion Using Augmented Resting-State Functional Connectivity Under Multi-Modal Parcellation

Identification of Mild Cognitive Impairment Conversion Using Augmented Resting-State Functional Connectivity Under Multi-Modal Parcellation

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Mild cognitive impairment (MCI) citronella horse shampoo is a transitional stage between normal aging and Alzheimer’s disease (AD), with a high risk of converting to AD.We propose a classification framework with a data augment method to identify MCI converter (MCI-C) and MCI non-converter (MCI-NC).Resting-state functional magnetic resonance images (rs-fMRI) from Alzheimer’s Disease Neuroimaging Initiative (ADNI) are processed as augmented resting-state functional connectivity by staggered sliding window (SSW) method proposed by us under Human Connectome Project (HCP) multi-modal parcellation.The HCP brain atlas provides a more detailed cortical parcellation of the brain, allowing for more precise localization of brain regions related to MCI catherine lansfield ombre rainbow clouds eyelet curtains and AD.

Finally, the framework archive 88% accuracy in the task of identifying MCI-C.46 brain regions are suggested as potential MCI-to-AD biomarkers.