Dissociable Anterior and Posterior Beta-Burst Dynamics Track Thought Disorder in Schizophrenia

Background: Thought disorder in schizophrenia reflects disrupted internal model maintenance in predictive processing. Beta oscillations have been proposed to index top-down predictive signalling, but prior resting-state studies have focused on spectral power, overlooking transient burst dynamics that enable the stabilization and reinstatement of internal representations, especially in the default mode network (DMN). Methods: Resting-state MEG was acquired from 25 patients (7 females) with schizophrenia and 25 matched controls (8 females) between May 2024 and October 2025. Beta bursts (15-30 Hz) were extracted from source-localized cortical time series, and burst rate, duration, power, and inter-regional synchrony were quantified. Associations with computationally-derived semantic and syntactic speech features were assessed using principal-component regression within patients. Results: Conventional beta power did not differ between groups after correction. In contrast, beta-burst dynamics showed significant group-by-anterior–posterior-position interactions for burst rate (p = 0.018), power (p = 0.0014) and duration (p < 0.001). Within the DMN, patients showed shorter inferior parietal burst duration (t(46.0) = −2.74, FDR-adjusted p = 0.0343) and increased burst synchrony within left prefrontal cortex (t(31.0) = 2.81, FDR-adjusted p = 0.0343) and between prefrontal cortices (t(29.8) = 2.73, FDR-adjusted p = 0.0423). Within patients, burst components were associated with speech organization (R² = 0.47, F(3,19) = 5.66, p = 0.006), driven by the inferior parietal burst-duration component (β = −0.55, p = 0.0036), but did not associate with overall clinical severity. Limitations: The modest patient sample, short resting-state recording, cross-sectional design, and lack of laminar specificity limit causal and mechanistic inference; burst-speech associations require replication. Conclusion: Schizophrenia is associated with dissociable anterior and posterior beta-burst abnormalities that tracked objective speech markers of thought disorder. These findings suggest impaired hierarchical coordination of predictive beta signalling as a candidate neurophysiological account linking intrinsic network dysfunction to disorganized thought.

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Journal
Journal of Psychiatry and Neuroscience
Published
2026-09-30
DOI
https://doi.org/10.1139/jpn-2026-0094
Primary Topic
Neural dynamics and brain function
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article
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article

Dissociable Anterior and Posterior Beta-Burst Dynamics Track Thought Disorder in Schizophrenia

Lindsey Power, Hsi Tiana Wei, Sylvain Baillet, Rukun Dou et al.
Journal of Psychiatry and Neuroscience
Neural dynamics and brain function
article

Dissociable Anterior and Posterior Beta-Burst Dynamics Track Thought Disorder in Schizophrenia

Lindsey Power, Hsi Tiana Wei, Sylvain Baillet, Rukun Dou, Lena Palaniyappan
article en

Abstract

Background: Thought disorder in schizophrenia reflects disrupted internal model maintenance in predictive processing. Beta oscillations have been proposed to index top-down predictive signalling, but prior resting-state studies have focused on spectral power, overlooking transient burst dynamics that enable the stabilization and reinstatement of internal representations, especially in the default mode network (DMN). Methods: Resting-state MEG was acquired from 25 patients (7 females) with schizophrenia and 25 matched controls (8 females) between May 2024 and October 2025. Beta bursts (15-30 Hz) were extracted from source-localized cortical time series, and burst rate, duration, power, and inter-regional synchrony were quantified. Associations with computationally-derived semantic and syntactic speech features were assessed using principal-component regression within patients. Results: Conventional beta power did not differ between groups after correction. In contrast, beta-burst dynamics showed significant group-by-anterior–posterior-position interactions for burst rate (p = 0.018), power (p = 0.0014) and duration (p < 0.001). Within the DMN, patients showed shorter inferior parietal burst duration (t(46.0) = −2.74, FDR-adjusted p = 0.0343) and increased burst synchrony within left prefrontal cortex (t(31.0) = 2.81, FDR-adjusted p = 0.0343) and between prefrontal cortices (t(29.8) = 2.73, FDR-adjusted p = 0.0423). Within patients, burst components were associated with speech organization (R² = 0.47, F(3,19) = 5.66, p = 0.006), driven by the inferior parietal burst-duration component (β = −0.55, p = 0.0036), but did not associate with overall clinical severity. Limitations: The modest patient sample, short resting-state recording, cross-sectional design, and lack of laminar specificity limit causal and mechanistic inference; burst-speech associations require replication. Conclusion: Schizophrenia is associated with dissociable anterior and posterior beta-burst abnormalities that tracked objective speech markers of thought disorder. These findings suggest impaired hierarchical coordination of predictive beta signalling as a candidate neurophysiological account linking intrinsic network dysfunction to disorganized thought.

Journal of Psychiatry and Neuroscience
Montreal Neurological Institute and Hospital (CA), Douglas Mental Health University Institute (CA), McGill University Health Centre (CA), Centre Hospitalier de l’Université de Montréal (CA), McGill University (CA), Université de Montréal (CA)
Openalex Percentile: Top 10%
Neural dynamics and brain function
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