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Aberrant Functional Connectivity and Brain Network Organization in High-Schizotypy Individuals: An Electroencephalography Study.

Jelena Trajkovic, Giulia Ricci, Gabriele Pirazzini, Luca Tarasi, Francesco Di Gregorio, Elisa Magosso, Mauro Ursino, Vincenzo Romei

Schizophrenia Bulletin September 8, 2025 DOI: 10.1093/schbul/sbaf004 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Observational cross-sectional study Peer reviewed
Population Healthy participants with low and high schizotypy scores
Duration Two-minute resting-state EEG recording
Keywords Granger causality Brain rhythms Electroencephalography Graph theory Resting-state networks Schizotypy
Key findings High-schizotypy individuals showed lower local efficiency in theta and alpha frequencies and lower global efficiency across theta, alpha and beta frequencies, along with reduced node centrality and frequency-specific decreases in functional connectivity. The authors interpret these as a less efficient functional brain organization, with reduced top-down connectivity mostly in slower frequencies and diminished bottom-up connectivity in faster rhythms, supporting a dimensional model of schizophrenia.

Abstract

Oscillatory synchrony plays a crucial role in establishing functional connectivity across distinct brain regions. Within the realm of schizophrenia, suggested to be a neuropsychiatric disconnection syndrome, discernible aberrations arise in the organization of brain networks. We aim to investigate whether the resting-state functional network is already altered in healthy individuals with high schizotypy traits, highlighting the pivotal influence of brain rhythms in driving brain network alterations. Two-minute resting-state electroencephalography recordings were conducted on healthy participants with low and high schizotypy scores. Subsequently, spectral Granger causality was used to compute functional connectivity in theta, alpha, beta, and gamma frequency bands, and graph theory metrics were employed to assess global and local brain network features. Results highlighted that high-schizotypy individuals exhibit a lower local efficiency in theta and alpha frequencies and a decreased global efficiency across theta, alpha, and beta frequencies. Moreover, high schizotypy is characterized by a lower nodes' centrality and a frequency-specific decrease of functional connectivity, with a reduced top-down connectivity mostly in slower frequencies and a diminished bottom-up connectivity in faster rhythms. These results show that healthy individuals with a higher risk of developing psychosis exhibit a less efficient functional brain organization, coupled with a systematic decrease in functional connectivity impacting both bottom-up and top-down processing. These frequency-specific network alterations provide robust support for the dimensional model of schizophrenia, highlighting distinctive neurophysiological signatures in high-schizotypy individuals.

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