Neural network excitation

Neural network excitation is a fundamental physiological process rather than a single molecular target. It describes the state in which neurons within a circuit increase their firing rate and signal transmission, primarily mediated by the release of excitatory neurotransmitters such as glutamate and the subsequent activation of NMDA, AMPA, and kainate receptors [1][2]. This process is essential for cognitive functions, sensory perception, and motor control; however, its regulation is critical for maintaining the excitation/inhibition (E/I) balance necessary for healthy brain function [3]. Pathological elevation in network excitation is a hallmark of various neurological disorders, most notably epilepsy, where it leads to hypersynchronous seizures, and neurodegenerative diseases like Alzheimer's and Huntington's, where chronic overstimulation causes excitotoxic neuronal death [4][5]. While 'neural network excitation' is not a druggable molecule itself, it serves as a phenotypic endpoint for numerous therapeutic classes, including anticonvulsants and anesthetics, which act on specific receptors and ion channels to dampen excessive activity and restore homeostasis [6].

Other names

Neuronal excitationExcitatory neurotransmissionNetwork hyperexcitabilitySynaptic excitationE/I balance (excitation/inhibition balance)

Modulation of the balance between excitatory and inhibitory neurotransmission, typically through the activation of ionotropic glutamate receptors (NMDA, AMPA) or the inhibition of GABAergic signaling.