特质焦虑调节的视觉注意梯度的脑结构预测因素
Structural Brain Predictors of Visual Attention Gradient Modulated by Trait Anxiety
浏览论文内容
中文总结 AI 辅助
研究特质焦虑调节的视觉注意梯度的脑结构预测因素，通过对60名参与者的视觉空间注意梯度任务及神经成像分析，发现小脑和感觉运动区域结构完整性与特质焦虑个体空间注意部署有关，还证明了脑结构标记的预测效用。
中文摘要 AI 辅助
跨视野的注意力动态分配，量化为视觉空间注意梯度，对维持感知广度至关重要。这种灵活性的破坏可能导致空间注意偏差改变，并可能受特质焦虑影响。我们研究了脑结构形态的个体差异是否能预测作为特质焦虑函数的空间注意部署。60名参与者完成了一项包含简短部分面部情绪线索的视觉空间注意梯度任务。虽离散情绪线索未显著调节注意梯度，但结构神经成像分析显示，双侧小脑小叶VI灰质体积增加、左中央前回和中央旁小叶皮质厚度增加，与空间注意梯度幅度（跨情绪平均）和特质焦虑之间的相互作用减弱有关。机器学习模型进一步从这些神经解剖特征预测个体注意-焦虑概况。这些发现表明，小脑和感觉运动区域结构完整性更高，与特质焦虑较低个体更灵活的空间注意部署相关。结果突出了小脑和感觉运动区域超出其传统运动功能，对视觉空间注意个体差异和认知-情感相互作用的贡献，同时证明了脑结构标记的预测效用。
英文摘要
Dynamic allocation of attention across the visual field, quantified as a visuospatial attention gradient, is essential for maintaining perceptual breadth. Disruptions to this flexibility may contribute to altered spatial attentional bias and may be influenced by trait anxiety. We investigated whether individual differences in structural brain morphology predict spatial attentional deployment as a function of trait anxiety. Sixty participants, recruited based on an a priori sample size calculation, completed a visuospatial attention gradient task incorporating brief partial facial emotion cues. Although discrete emotional cues did not significantly modulate attention gradients, structural neuroimaging analyses revealed that greater grey matter volume in bilateral cerebellar lobule VI and increased cortical thickness in the left precentral gyrus and paracentral lobule were associated with reduced interaction between the magnitude of the spatial attention gradient (averaged across emotions) and trait anxiety. Machine-learning models further predicted individual attention-anxiety profiles from these neuroanatomical features. These findings suggest that greater structural integrity in cerebellar and sensorimotor regions is associated with more flexible spatial attentional deployment in individuals with lower trait anxiety. Together, the results highlight the contribution of cerebellar and sensorimotor regions, beyond their traditional motor functions, to individual differences in visual spatial attention and cognitive-affective interactions, while demonstrating the predictive utility of structural brain markers.
