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Neural oscillations and network activity refer to the rhythmic and repetitive patterns of electrical activity generated by the central nervous system through the synchronized firing of neuronal populations (Buzsáki, 2006). These oscillations, categorized into frequency bands such as delta, theta, alpha, beta, and gamma, are essential for coordinating communication between distant brain regions and supporting complex cognitive processes like memory, attention, and motor execution (Schnitzler & Gross, 2005). In many neurological and psychiatric disorders, these patterns become dysregulated; for example, excessive beta oscillations are a hallmark of Parkinson's disease, while impaired gamma synchrony is frequently observed in schizophrenia (Uhlhaas & Singer, 2010). Although not a discrete molecular target like a receptor or enzyme, neural oscillations serve as a critical systems-level endpoint for therapeutic intervention. Pharmacological agents, such as benzodiazepines or NMDA antagonists, and neuromodulation techniques, such as Deep Brain Stimulation (DBS), aim to restore healthy oscillatory dynamics by modulating underlying synaptic and cellular mechanisms. Consequently, these rhythmic patterns are increasingly utilized as biomarkers for drug efficacy and patient stratification in central nervous system drug development (Uhlhaas & Singer, 2006).
Drugs modulate neural oscillations indirectly by acting on molecular targets such as GABAergic receptors, glutamatergic receptors, or voltage-gated ion channels to alter the excitatory-inhibitory balance and rhythmic firing patterns of neuronal populations (Buzsáki & Draguhn, 2004).
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