Visalli Antonino, Maldonado Natasha, Dadak Mete, Lanfermann Heinrich, Weißenborn Karin, Kopp Bruno
Department of Neurology, Hannover Medical School, Hannover, Germany.
Department of Biomedical, Metabolic and Neuroscience, University of Modena and Reggio Emilia, Reggio Emilia, Italy.
Front Psychol. 2025 Apr 28;16:1517876. doi: 10.3389/fpsyg.2025.1517876. eCollection 2025.
Traditional lateralization models assign post-stroke verbal impairments to the left hemisphere and spatial impairments to the right hemisphere. When considering error measures, this dichotomy may be too simplistic, as performance monitoring may involve domain-general and domain-specific components. Furthermore, the error-monitoring hypothesis predicts domain-incongruent specialization, with left hemisphere dominance for spatial and right hemisphere dominance for verbal errors.
We performed voxel-based lesion-behavior mapping in = 110 acute stroke patients who completed a cognitively demanding, error-prone, five-point spatial design fluency task and a verbal word-fragment completion task.
Significant associations were found between lesion location and error rates in both tasks, spatial fluency (correlation = 0.36, < 0.001) and verbal completion (correlation = 0.31, = 0.001). Right inferior frontal lesions correlated with errors in both tasks. In addition, left frontal white matter (WM) lesions were associated with spatial errors, whereas right frontal WM lesions were associated with verbal errors. After adjusting for demographics, the left WM cluster remained significant for spatial errors and the right WM cluster for verbal errors, while the right inferior frontal association with spatial errors was no longer significant.
Post-stroke performance monitoring involves two distinct neural systems. One is a domain-general system, probably centered in the right inferior frontal region, that supports overall accuracy. The other is a widely distributed, reverse lateralized system, with left lesions associated with spatial accuracy and right lesions associated with verbal accuracy. This suggests that performance monitoring relies on more complex hemispheric interactions than traditional models suggest.
传统的大脑功能侧化模型认为,中风后言语功能障碍与左半球有关,空间功能障碍与右半球有关。在考虑错误测量时,这种二分法可能过于简单,因为表现监测可能涉及通用领域和特定领域的成分。此外,错误监测假说预测了领域不一致的专业化,即左半球在空间错误方面占主导,右半球在言语错误方面占主导。
我们对110名急性中风患者进行了基于体素的病变-行为映射研究,这些患者完成了一项认知要求高、容易出错的五点空间设计流畅性任务和一项言语单词片段完成任务。
在两项任务中均发现病变位置与错误率之间存在显著关联,即空间流畅性任务(相关性=0.36,P<0.001)和言语完成任务(相关性=0.31,P=0.001)。右侧额下回病变与两项任务中的错误均相关。此外,左侧额叶白质病变与空间错误相关,而右侧额叶白质病变与言语错误相关。在对人口统计学因素进行调整后,左侧白质簇在空间错误方面仍然显著,右侧白质簇在言语错误方面仍然显著,而右侧额下回与空间错误的关联不再显著。
中风后的表现监测涉及两个不同的神经系统。一个是通用领域系统,可能以右侧额下回区域为中心,支持整体准确性。另一个是广泛分布的、反向侧化的系统,左侧病变与空间准确性相关,右侧病变与言语准确性相关。这表明表现监测依赖于比传统模型所认为的更复杂的半球间相互作用。