Computational modelling of novelty detection in the mismatch negativity protocols and its impairments in schizophrenia.

ABSTRACT: The human auditory system rapidly distinguishes between novel and familiar sounds, a process reflected in mismatch negativity (MMN), an EEG-based biomarker of auditory novelty detection. MMN is impaired in psychiatric conditions, most notably schizophrenia (SCZ), yet the neuronal mechanisms underlying this deficit remain unclear. Here, we combined computational modelling and genetic analyses to investigate how SCZ-associated cellular abnormalities affect auditory novelty detection. We developed an integrate-and-fire spiking network model capable of detecting four types of auditory novelty, including stimulus omission. Based on assumptions of short-term depressing synapses between the subpopulations of the network and the existence of neuronal inputs that are phase-locked to the rhythm of t

SUBMITTER: Eissa A 

PROVIDER: S-EPMC12621899 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature