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| 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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