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首页> 外文期刊>The European Journal of Neuroscience >Coupling between spontaneous pupillary fluctuations and brain activity relates to inattentiveness
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Coupling between spontaneous pupillary fluctuations and brain activity relates to inattentiveness

机译：自发性瞳孔波动与大脑活动之间的耦合涉及异常性

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Autonomic activity in neurological and psychiatric disorders is often dysregulated, particularly in the context of attentional behaviors. This suggests that interplay between the autonomic nervous system and aspects of the central nervous system subserving attention may be disrupted in these conditions. Better understanding these interactions and their relationship with individual variation in attentional behaviors could facilitate development of mechanistic biomarkers. We identified brain regions defined by trait-sensitive central-autonomic coupling as a first step in this process. As spontaneous neural activity measured during the resting state is sensitive to phenotypic variability, unconfounded by task performance, we examined whether spontaneous fluctuations in brain activity and an autonomic measure, pupil diameter, were coupled during the resting state, and whether that coupling predicted individual differences in attentional behavior. By employing concurrent pupillometry and fMRI during the resting state, we observed positive coupling in regions comprising cingulo-opercular, default mode, and fronto-parietal networks, as well as negative coupling with visual and sensorimotor regions. Individuals less prone to distractibility in everyday behavior demonstrated stronger positive coupling in cingulo-opercular regions often associated with sympathetic activity. Overall, our results suggest that individuals less prone to distractibility have tighter intrinsic coordination between specific brain areas and autonomic systems, which may enable adaptive autonomic shifts in response to salient environmental cues. These results suggest that incorporating autonomic indices in resting-state studies should be useful in the search for biomarkers for neurological and psychiatric disorders.
机译：神经系统和精神疾病中的自主神经活性通常具有吸引力，特别是在注意力行为的背景下。这表明在这些条件下，自主神经系统之间的相互作用可能被扰乱。更好地理解这些相互作用及其与个体变异的关系，可以促进机械生物标志物的发展。我们确定了由特质敏感的中央自主耦合定义的脑区域作为该过程的第一步。由于在静止状态下测量的自发性神经活动对表型变异性敏感，因此通过任务性能的无关，我们检查了脑活动中的自发波动和自主测量，瞳孔直径在静止状态期间耦合，以及该耦合是否预测了个体差异在注意力行为中。通过在静止状态期间采用并发小瞳孔测量和FMRI，我们观察到包括CINGULO-ORMER，默认模式和前景网络的区域中的正耦合，以及与视觉和传感器区域的负耦合。在日常行为中易于分散注意力的人表现出潮湿的伴随着与交感神经活动相关的幂曲面中的较强的正耦合。总体而言，我们的结果表明，在特定脑区域和自主系统之间具有更严格的内在协调的个人在特定的脑区域和自主系统之间具有更严重的内在协调，这可能能够响应突出的环境提示来实现适应性自主转变。这些结果表明，在休息状态研究中纳入自主索引应该是在寻找神经和精神病疾病的生物标志物中。

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