AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
TL;DR
Brain-DISC provides a scalable framework for translating cohort-derived rsFC signatures into intervention settings to support both response monitoring and patient stratification in targeted BMI trials.
DMPFC-somatomotor connectivity is longitudinally associated with cognitive performance in early psychosis, suggesting a novel, reliable target for intervention for cognitive deficits in early psychosis.
It was found that age‐prediction models trained on the reference population systematically underpredicted age in clinical conditions showing strong and systematic, age‐related differences in EEG power compared to controls.
It is suggested that MCI and AD are associated with distinct patterns of directional information flow within prefrontal networks, characterized by reduced convergence toward FPC-R and increased directional influence toward DLPFC-L.
Background and Objectives Cognitive impairment affects 40%–70% of patients with multiple sclerosis (MS). Although recent hypothesis-driven and data-driven efforts have identified cognitive phenotypes, functional substrates underlying impairment in such phenotypes are still not clear. Our objective was to identify disti...
BAG is a reliable non-invasive marker of structural brain health sensitive to AD pathology and to modifiable AD risk and supports its relevance for early risk stratification and prevention-oriented research.
Alzheimer's disease (AD) is characterized by progressive cognitive decline associated with synaptic and large-scale network dysfunction. Resting-state alterations may provide functional correlates of AD pathology, but associations among intrinsic brain activity, biomarkers, and domain-specific cognition have not been s...
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