Jul 2026· IEEE journal of biomedical and health informatics· Vol PP, pp. 1-10· 0 citations
Medicine
TL;DR
Findings indicate that stroke induces a subcritical shift in brain dynamics and provide a novel understanding of post-stroke brain dysfunction from a dynamical systems perspective.
Abstract
The healthy brain has been proposed to operate near a critical state, reflecting a balance between neuronal excitation and inhibition. In contrast, stroke disrupts neural activity and brain network function, yet its impact on critical dynamics remains unclear. In this study, we investigated whether brain critical dynamics are altered in persons with chronic stroke using resting-state EEG. Several criticality-related metrics were compared between stroke patients and healthy controls, including neuronal avalanche statistics, branching parameter, Fano factor, long-range temporal correlations (LRTC), and neuronal-avalanche-based LRTC. These complementary metrics provide a multifaceted assessment of critical brain dynamics. Compared with healthy controls, stroke patients exhibited a significant reduction in probability of large-scale neuronal avalanches, along with lower branching parameters and Fano factors. In addition, stroke patients showed frequency-specific alterations in LRTC, with significant reductions observed in the beta and gamma bands. The scaling exponent (α) derived from neuronal-avalanche-based LRTC was also reduced. These findings indicate that stroke induces a subcritical shift in brain dynamics and provide a novel understanding of post-stroke brain dysfunction from a dynamical systems perspective.
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OBJECTIVE
Disrupted Brain dynamics are implicated in delirium. We aimed to better understand the characteristics of functional brain activity as a model for delirium.
METHODS
Measurement of functional brain connectivity at rest and during task-based activities in acutely delirious patients in a convenience sample of...
Alice Greenwood, J. N. van der Meer, S. Ward et al.· Current Aging Science· 0 citations
Disruptions in large-scale electroencephalography (EEG) dynamics are a hallmark of Alzheimer's disease (AD). However, conventional microstate analyses rely primarily on amplitude-based features and may overlook phase-related alterations in network organization. This study examined whether integrating instantaneous freq...
S. Nobukawa, T. Ikeda, Mitsuru Kikuchi et al.· 2026 International Conferenc...· 1 citation
Focal brain lesions are thought to induce sleep-like slow-wave activity in perilesional cortex through altered excitation-inhibition balance and structural disconnection, but whether these dynamics extend to remote yet structurally intact regions remain unclear. Here we combined source-reconstructed high-density EEG (1...
Ilaria Mazzonetto, Miriam Celli, L. Pini et al.· bioRxiv· 0 citations
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