Genetic risk for schizophrenia is associated with altered visually-induced gamma band activity: evidence from a population sample stratified polygenic risk
Autor: | Derek K. Jones, Stavros I. Dimitriadis, David Edmund Johannes Linden, Gavin Perry, Sonya Foley, M O'Donovan, Krish D. Singh, Stan Zammit, Peter Holmans, Jane Hall, Katherine E. Tansey, M. J. Owen |
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Přispěvatelé: | RS: MHeNs - R2 - Mental Health, RS: MHeNs - R3 - Neuroscience |
Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
INTERNEURONS
medicine.medical_specialty CORTEX media_common.quotation_subject Population MAGNETOENCEPHALOGRAPHY Neurosciences. Biological psychiatry. Neuropsychiatry Audiology Predictive markers Article 03 medical and health sciences Cellular and Molecular Neuroscience 0302 clinical medicine Risk Factors medicine Gamma Rhythm Humans Contrast (vision) Clinical genetics Genetic risk MODULATION education HIGH-FREQUENCY OSCILLATIONS Biological Psychiatry INDIVIDUAL VARIABILITY 030304 developmental biology Balance (ability) media_common 0303 health sciences education.field_of_study PEAK FREQUENCY medicine.diagnostic_test business.industry Magnetoencephalography medicine.disease GABA CONCENTRATION DYSFUNCTION Psychiatry and Mental health Schizophrenia Biomarker (medicine) Birth Cohort business OSCILLATORY NEURONAL SYNCHRONIZATION Gamma band 030217 neurology & neurosurgery RC321-571 |
Zdroj: | Translational Psychiatry, 11(1):592. Nature Publishing Group Translational Psychiatry Translational Psychiatry, Vol 11, Iss 1, Pp 1-8 (2021) |
ISSN: | 2158-3188 |
Popis: | Gamma oscillations (30–90 Hz) have been proposed as a signature of cortical visual information processing, particularly the balance between excitation and inhibition, and as a biomarker of neuropsychiatric diseases. Magnetoencephalography (MEG) provides highly reliable visual-induced gamma oscillation estimates, both at sensor and source level. Recent studies have reported a deficit of visual gamma activity in schizophrenia patients, in medication naive subjects, and high-risk clinical participants, but the genetic contribution to such a deficit has remained unresolved. Here, for the first time, we use a genetic risk score approach to assess the relationship between genetic risk for schizophrenia and visual gamma activity in a population-based sample drawn from a birth cohort. We compared visual gamma activity in a group (N = 104) with a high genetic risk profile score for schizophrenia (SCZ-PRS) to a group with low SCZ-PRS (N = 99). Source-reconstructed V1 activity was extracted using beamformer analysis applied to MEG recordings using individual MRI scans. No group differences were found in the induced gamma peak amplitude or peak frequency. However, a non-parametric statistical contrast of the response spectrum revealed more robust group differences in the amplitude of high-beta/gamma power across the frequency range, suggesting that overall spectral shape carries important biological information beyond the individual frequency peak. Our findings show that changes in gamma band activity correlate with liability to schizophrenia and suggest that the index changes to synaptic function and neuronal firing patterns that are of pathophysiological relevance rather than consequences of the disorder. |
Databáze: | OpenAIRE |
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