Identificador persistente para citar o vincular este elemento: https://accedacris.ulpgc.es/jspui/handle/10553/162705
Título: Identifying Cell-Type-Specific Alterations Underlying Schizophrenia-Related EEG Deficits Using a Multi-scale Model of Auditory Thalamocortical Circuits
Autores/as: McElroy, Scott
Chen, James
Novikov, Nikita
Fernández-López, Pablo 
Suárez-Araujo, Carmen Paz 
Metzner, Christoph
Javitt, Daniel
Neymotin, Sam
Dura-Bernal, Salvador
Clasificación UNESCO: Investigación
Fecha de publicación: 2026
Publicación seriada: Journal of Computational Neuroscience 
Resumen: 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
Fuente: Journal Of Computational Neuroscience[ISSN 0929-5313],v. 54 (SUPPL1) sup. S, Abstract P192, (Febrero 2026)
Colección:Actas de congresos
Adobe PDF (435,87 kB)
Vista completa

Google ScholarTM

Verifica


Comparte



Exporta metadatos



Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.