Electroencephalography reveals links between brain connectivity and cognition in neurological and psychiatric disorders, suggesting new interventions.
Electroencephalography has advanced from spectral analyses to integrate functional-connectivity and oscillatory metrics, offering mechanistic insights into network dysfunction across neurological and psychiatric disorders. Methodological advances, such as source reconstruction and brain modelling, enhance spatial precision and mitigate volume conduction. Empirical studies show that oscillatory brain activity and functional connectivity serve human cognition and their disruptions underlie symptoms in a variety of neuropsychiatric disorders. The study of the relation between brain oscillations and connectivity is pivotal for the advances in cognitive and clinical neuroscience. Crucially, integrating these biomarkers into machine-learning frameworks and closed-loop neuromodulation holds promise for personalized diagnostics and interventions.
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Gregorio et al. (2025) studied this question.
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