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
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