Scholarlink

<p>Fluctuations in attentional states, such as mind-wandering (MW), are associated with critical variability in task performance. While fMRI studies highlight the opposing roles of task-positive (e.g., dorsal attention network) and task-negative (e.g., default mode network) systems, the electrophysiological mechanisms underlying these dynamics remain poorly understood. Using intracranial electrocorticography in humans performing a sustained attention task, we identified global oscillatory dynamics linked to attentional shifts. MW was characterized by (1) reduced theta (θ) and alpha (α) power, (2) decreased aperiodic signal components, indicating a shift toward cortical inhibition, (3) enhanced phase synchronization across networks, and (4) strengthened θ phase-behavior correlations (ρ). These features support a non-network-specific framework in which low-frequency θ dynamics—captured by both θ power and ρ—are associated with attentional fluctuations, while aperiodic offset relates to attentional state indirectly through its association with ρ (structural equation modeling: power → state β = − 0.118, <i>p</i> = 0.002; ρ → state β = 0.246, <i>p</i> &lt; 0.001; offset → ρ β = − 0.222, <i>p</i> &lt; 0.001). Our study provides a unified neurophysiological framework for understanding how spontaneous neural activity can drive attentional fluctuations and performance variability, with implications for research on attention, learning, and neuropsychiatric disorders.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Global neural oscillations underlie performance variability and attentional state fluctuations in humans

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年4月24日

查看全文
  • Joaquín Herrero,
  • Rodrigo Henríquez-Ch,
  • Alejandra Figueroa-Vargas,
  • Reinaldo Uribe-San Martin,
  • Christian Cantillano,
  • Pablo Fuentealba,
  • Patricio Mellado,
  • Jaime Godoy,
  • Pablo Billeke,
  • Francisco Aboitiz

摘要

Fluctuations in attentional states, such as mind-wandering (MW), are associated with critical variability in task performance. While fMRI studies highlight the opposing roles of task-positive (e.g., dorsal attention network) and task-negative (e.g., default mode network) systems, the electrophysiological mechanisms underlying these dynamics remain poorly understood. Using intracranial electrocorticography in humans performing a sustained attention task, we identified global oscillatory dynamics linked to attentional shifts. MW was characterized by (1) reduced theta (θ) and alpha (α) power, (2) decreased aperiodic signal components, indicating a shift toward cortical inhibition, (3) enhanced phase synchronization across networks, and (4) strengthened θ phase-behavior correlations (ρ). These features support a non-network-specific framework in which low-frequency θ dynamics—captured by both θ power and ρ—are associated with attentional fluctuations, while aperiodic offset relates to attentional state indirectly through its association with ρ (structural equation modeling: power → state β = − 0.118, p = 0.002; ρ → state β = 0.246, p < 0.001; offset → ρ β = − 0.222, p < 0.001). Our study provides a unified neurophysiological framework for understanding how spontaneous neural activity can drive attentional fluctuations and performance variability, with implications for research on attention, learning, and neuropsychiatric disorders.