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<p>Diagnosing Disorders of Consciousness (DoC) remains a critical challenge in cognitive neuroscience. In this study we introduce Electroencephalography (EEG)-based brain states as a real-time, bedside tool for assessing dynamic brain connectivity in DoC patients. We analyze EEG data from 237 acute and chronic DoC patients across three centers, identifying five recurrent functional connectivity patterns. The probability of these patterns correlated strongly with consciousness levels, with high-entropy patterns exclusive to healthy controls and low-entropy patterns prevalent in severe DoC, predicting individual recovery outcomes. Real-time testing validated reliable bedside detection of these patterns. Our findings demonstrate EEG’s potential for monitoring dynamic brain connectivity, offering insights into the neural basis of consciousness and advancing diagnostic strategies for DoC.</p>

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Detection of EEG dynamic complex patterns in disorders of consciousness

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年8月12日

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  • Gabriel A. Della Bella,
  • Di Zang,
  • Peng Gui,
  • Diego M. Mateos,
  • Jacobo D. Sitt,
  • Tristan A. Bekinschtein,
  • Dragana Manasova,
  • Benjamine Sarton,
  • Fabrice Ferre,
  • Stein Silva,
  • Pedro W. Lamberti,
  • Xuehai Wu,
  • Ying Mao,
  • Liping Wang,
  • Pablo Barttfeld

摘要

Diagnosing Disorders of Consciousness (DoC) remains a critical challenge in cognitive neuroscience. In this study we introduce Electroencephalography (EEG)-based brain states as a real-time, bedside tool for assessing dynamic brain connectivity in DoC patients. We analyze EEG data from 237 acute and chronic DoC patients across three centers, identifying five recurrent functional connectivity patterns. The probability of these patterns correlated strongly with consciousness levels, with high-entropy patterns exclusive to healthy controls and low-entropy patterns prevalent in severe DoC, predicting individual recovery outcomes. Real-time testing validated reliable bedside detection of these patterns. Our findings demonstrate EEG’s potential for monitoring dynamic brain connectivity, offering insights into the neural basis of consciousness and advancing diagnostic strategies for DoC.