Please use this identifier to cite or link to this item: https://accedacris.ulpgc.es/jspui/handle/10553/162705
Title: Identifying Cell-Type-Specific Alterations Underlying Schizophrenia-Related EEG Deficits Using a Multi-scale Model of Auditory Thalamocortical Circuits
Authors: McElroy, Scott
Chen, James
Novikov, Nikita
Fernández-López, Pablo 
Suárez-Araujo, Carmen Paz 
Metzner, Christoph
Javitt, Daniel
Neymotin, Sam
Dura-Bernal, Salvador
UNESCO Clasification: Investigación
Issue Date: 2026
Journal: Journal of Computational Neuroscience 
Abstract: Schizophrenia is associated with cognitive deficits, including disruptions in sensory processing. Electroencephalography (EEG) studies have identified abnormalities in event-related potentials and cortical oscillations, particularly within the auditory system. Among the most wellestablished EEG biomarkers are the reduced 40 Hz Auditory Steady-State Response (ASSR) and impaired mismatch negativity (MMN). Understanding the neural mechanisms underlying these EEG deficits is critical for linking molecular and circuit-level alterations to cognitive dysfunctions in schizophrenia.
URI: https://accedacris.ulpgc.es/jspui/handle/10553/162705
ISSN: 0929-5313
Source: Journal Of Computational Neuroscience[ISSN 0929-5313],v. 54 (SUPPL1) sup. S, Abstract P192, (Febrero 2026)
Appears in Collections:Actas de congresos
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