ArticleScientific reports2021
Resting state alpha oscillatory activity is a valid and reliable marker of schizotypy.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 44 citations in OpenAlex.
- Predictive Inference Alterations in Psychosis Proneness Show Task-Dependent Signatures.Annals of the New York Academy of Sciences · 2026Article
- Alpha frequency shapes perceptual sensitivity by modulating optimal phase likelihood.Nature communications · 2026Article
- Alpha oscillations are dysrhythmic in Fragile X syndrome.bioRxiv : the preprint server for biology · 2026Article
- Parietal alpha frequency shapes own-body perception by modulating the temporal integration of bodily signals.Nature communications · 2026Article
- Aberrant Functional Connectivity and Brain Network Organization in High-Schizotypy Individuals: An Electroencephalography Study.Schizophrenia bulletin · 2025Article
- Temporal acuity of vision decreases with eccentricity in virtual reality and is associated with schizotypy.Scientific reports · 2025Article
- Delusion-like thinking is associated with lower individual alpha peak frequency.Schizophrenia (Heidelberg, Germany) · 2025Article
- Power spectral density-based resting-state EEG classification of first-episode psychosis.Scientific reports · 2024Article
- Alpha peak frequency affects visual performance beyond temporal resolution.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Method for Assessing the Influence of Phobic Stimuli in Virtual Simulators.Journal of imaging · 2023Article
- Rhythmic TMS as a Feasible Tool to Uncover the Oscillatory Signatures of Audiovisual Integration.Biomedicines · 2023Article
- Two Oscillatory Correlates of Attention Control in the Alpha-Band with Distinct Consequences on Perceptual Gain and Metacognition.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Electrophysiological and Behavioral Effects of Alpha-Band Sensory Entrainment: Neural Mechanisms and Clinical Applications.Biomedicines · 2023Review
- Landscape and future directions of machine learning applications in closed-loop brain stimulation.NPJ digital medicine · 2023Review
- Antivax attitude in the general population along the autism-schizophrenia continuum and the impact of socio-demographic factors.Frontiers in psychology · 2023Article
- The Role of Alpha Oscillations among the Main Neuropsychiatric Disorders in the Adult and Developing Human Brain: Evidence from the Last 10 Years of Research.Biomedicines · 2022Review
- Article
- The Cost of Imagined Actions in a Reward-Valuation Task.Brain sciences · 2022Article
- Neural Correlates of Smooth Pursuit Eye Movements in Schizotypy and Recent Onset Psychosis: A Multivariate Pattern Classification Approach.Schizophrenia bulletin open · 2022Article
Corrections and comments
- Erratum issued
Authors and funding
6 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Schizophrenia is among the most debilitating neuropsychiatric disorders. However, clear neurophysiological markers that would identify at-risk individuals represent still an unknown. The aim of this study was to investigate possible alterations in the resting alpha oscillatory activity in normal population high on schizotypy trait, a physiological condition known to be severely altered in patients with schizophrenia. Direct comparison of resting-state EEG oscillatory activity between Low and High Schizotypy Group (LSG and HSG) has revealed a clear right hemisphere alteration in alpha activity of the HSG. Specifically, HSG shows a significant slowing down of right hemisphere posterior alpha frequency and an altered distribution of its amplitude, with a tendency towards a reduction in the right hemisphere in comparison to LSG. Furthermore, altered and reduced connectivity in the right fronto-parietal network within the alpha range was found in the HSG. Crucially, a trained pattern classifier based on these indices of alpha activity was able to successfully differentiate HSG from LSG on tested participants further confirming the specific importance of right hemispheric alpha activity and intrahemispheric functional connectivity. By combining alpha activity and connectivity measures with a machine learning predictive model optimized in a nested stratified cross-validation loop, current research offers a promising clinical tool able to identify individuals at-risk of developing psychosis (i.e., high schizotypy individuals).
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