AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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It is demonstrated that sample sizes in the hundreds are required for robust associations with psychiatric diagnoses, and normative developmental trajectories of source-space EEG across spectral organization, connectivity, and signal complexity are established.
RCCA revealed three distinct FC patterns in recurrent ASD-related networks, each contributing to predict individual differences in cognitive, social and sensory features, which may shed light on atypical brain network topology associated with specific phenotypic manifestations of ASD.
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