皮层-海马体网络支持颞叶癫痫的言语记忆编码。

IF 4.1 Q1 CLINICAL NEUROLOGY
Brain communications Pub Date : 2025-02-12 eCollection Date: 2025-01-01 DOI:10.1093/braincomms/fcaf067
Giorgio Fiore, Davide Giampiccolo, Fenglai Xiao, Matthias J Koepp, Juan E Iglesias, Sjoerd B Vos, Jane de Tisi, Andrew W McEvoy, Giulio A Bertani, Marco Locatelli, Roisin Finn, Lorenzo Caciagli, Meneka Sidhu, Marian Galovic, Sallie Baxendale, John S Duncan, Anna Miserocchi
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引用次数: 0

摘要

关于人类语言记忆的结构基础的知识很少。在更精细的解剖尺度上理解人类言语记忆网络将对言语记忆障碍患者的管理具有重要的临床意义。在这项横断面研究中,我们旨在评估大脑皮层和海马亚区对颞叶癫痫的言语记忆编码的贡献。我们纳入了影像学和病理学定义为海马硬化症(HS)(44例左侧)和单侧颞叶癫痫的连续患者(n = 84),以及年龄和性别相似的健康志愿者(n = 43)。从高分辨率MRI扫描中提取大脑皮层和海马亚区形态测量和体积测量。参与这项研究的人接受了标准化的神经心理学评估,包括通过成人记忆和信息处理电池评估的言语记忆测量。言语记忆表现采用z分数进行校正,采用公布的样本标准化的均值和标准差。研究语言学习z分数与大脑皮层和海马亚区灰质体积的关系。左右内侧和背外侧前额叶皮层(P < 0.0001)、颞上回和中颞回(P < 0.0001)、前扣带皮层和后扣带皮层(P < 0.0001)、左腹外侧前额叶皮层(P < 0.0001)和顶叶-颞叶-枕叶交界处(P < 0.0001)灰质体积的减少与语言学习能力下降有关。这些发现在整个队列和专门针对HS患者的亚组分析中都是一致的。在海马体内,左侧齿状回体积较小(P = 0.003)、杏仁核4 (P = 0.005)和杏仁核3 (P = 0.03)与较差的语言学习z分数相关。本研究表明,颞叶癫痫患者的言语学习与前额叶皮层、颞叶皮层、扣带皮层、左齿状回、脑角4和脑角3海马亚区不同区域的体积密切相关。这为这些患者的语言学习提供了皮质海马网络的基础,提高了我们对人类语言记忆的理解。这些生物标志物可能为即将到来的调节疗法提供有吸引力的靶点。未来的工作可能还会分析保留部分左齿状回、角状脑4和角状脑3作为颞叶癫痫术后言语记忆障碍的保护措施的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cortico-hippocampal networks underpin verbal memory encoding in temporal lobe epilepsy.

Knowledge of the structural underpinnings of human verbal memory is scarce. Understanding the human verbal memory network at a finer anatomical scale will have important clinical implications for the management of patients with verbal memory impairment. In this cross-sectional study, we aimed to assess the contributions of cerebral cortex and hippocampal subfields to verbal memory encoding in temporal lobe epilepsy. We included consecutive patients (n = 84) with radiologically and pathologically defined hippocampal sclerosis (HS) (44 left-sided) and unilateral temporal lobe epilepsy, and healthy volunteers (n = 43) who were comparable regarding age and sex. The morphometric and volumetric measures of cerebral cortex and hippocampal subfields were extracted from high-resolution MRI scans. People included in this study underwent standardized neuropsychological evaluation, including measures of verbal memory assessed through the Adult Memory and Information Processing Battery. Verbal memory performances were Z-scores corrected by using means and standard deviations published for sample standardization. Associations between verbal learning Z-scores and the grey matter volume of the cerebral cortex and hippocampal subfields were investigated. Reduction of grey matter volumes in the left and right medial and dorsolateral prefrontal cortex (P corr < 0.0001), superior and middle temporal gyri (P corr < 0.0001), anterior and posterior cingulate cortex (P corr < 0.0001) and of the left ventrolateral prefrontal cortex (P corr < 0.0001) and parietal-temporal-occipital junction (P corr < 0.0001) were associated with worse verbal learning. These findings were consistent across both the entire cohort and in a subgroup analysis focused exclusively on HS patients. Within hippocampi, smaller volumes of the left dentate gyrus (P = 0.003), cornu ammonis 4 (P = 0.005) and cornu ammonis 3 (P = 0.03) were associated with worse verbal learning Z-scores. This study demonstrates that verbal learning in patients with temporal lobe epilepsy is strongly related to the volume of distinct regions of the prefrontal, temporal and cingulate cortices and left dentate gyrus, cornu ammonis 4 and cornu ammonis 3 hippocampal subfields. It provides the basis to suggest a corticohippocampal network for verbal learning in these patients, improving our understanding of human verbal memory. These biomarkers may inform attractive targets for forthcoming modulating therapies. Future work may also analyse the impact of sparing part of the left dentate gyrus, cornu ammonis 4 and cornu ammonis 3 as a protective measure against verbal memory impairment after surgery for temporal lobe epilepsy.

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