Classification of mild cognitive impairment developmental trajectories using multispatial scale structural brain networks

The human brain is a complex system with multiple spatial and temporal scales and multiple levels, showing a large number of emergent phenomena. Understanding the hierarchical relationship between brain structure and function is crucial. The network we constructed is not only important for MCI classification, but also holds promise for investigating other neurological conditions and elucidating brain development processes. Limitations include that model training and evaluation used only the Alzheimer's Disease Neuroimaging Initiative cohort; independent cohort validation is required to confirm generalizability. Moreover, integration with other imaging modalities (e.g. functional MRI and PET) may further improve prediction and will be explored in future work.