Grégoire Anaïs M, Dricot Laurence, Huart Caroline, Decat Monique, Deggouj Naïma, Kupers Ron
Institute of Neurosciences (IoNS), Catholic University of Louvain (UCLouvain), Brussels, Belgium; Department of ENT, Academic Hospital of Saint-Luc, Brussels, Belgium.
Institute of Neurosciences (IoNS), Catholic University of Louvain (UCLouvain), Brussels, Belgium.
Hear Res. 2025 Jun;461:109272. doi: 10.1016/j.heares.2025.109272. Epub 2025 Apr 9.
Acquired severe to profound hearing loss is an increasingly challenging problem of our aging population. Cochlear implantation (CI) is the gold standard treatment for this advanced form of sensory deprivation. Despite the overall satisfactory results of CI, a substantial number of patients show unsatisfactory outcomes. This study aims to improve current predictive models of CI outcome by integrating preoperative MRI with behavioral data. We acquired a 3D T1 MRI to measure cortical thickness (CT) and volume using surface-based analysis and parcellation from the Brainnetome atlas. CI success at 6 months post-implant, as measured by audiovisual speech perception, was correlated with preoperative speech and audiovisual perception with hearing aids, and residual hearing, especially at the side of the non-implanted ear. In addition, CI outcome correlated positively with CT of the left superior temporal gyrus and sulcus, left inferior frontal region, and bilateral superior frontal regions. The volume of the left middle frontal gyrus and regions of the parietal lobe, especially at the left side, also correlated with CI outcome. Linear regression models revealed that CI outcome was best predicted by the combination of preoperative measures of audiovisual speech perception, residual hearing, depression and CT. Our results highlight the importance of preserved brain areas implicated in hearing, language, audiovisual integration, and cognitive functions for CI success. Furthermore, brain MRI in conjunction with other predictors can help to identify patients who may need more time to adjust to the CI, allowing a more tailored rehabilitation, and potentially greater efficacy.
获得性重度至极重度听力损失是老龄化人口面临的一个日益具有挑战性的问题。人工耳蜗植入（CI）是这种晚期感觉剥夺形式的金标准治疗方法。尽管人工耳蜗植入的总体效果令人满意，但仍有相当数量的患者效果不理想。本研究旨在通过将术前MRI与行为数据相结合来改进当前人工耳蜗植入效果的预测模型。我们获取了三维T1 MRI，使用基于表面的分析和脑图谱的脑区划分来测量皮质厚度（CT）和体积。通过视听语音感知测量的人工耳蜗植入后6个月的成功情况，与术前使用助听器时的语音和视听感知以及残余听力相关，尤其是在未植入耳一侧。此外，人工耳蜗植入效果与左侧颞上回和颞上沟、左侧额下区域以及双侧额上区域的CT呈正相关。左侧额中回和顶叶区域的体积，尤其是左侧，也与人工耳蜗植入效果相关。线性回归模型显示，人工耳蜗植入效果最好通过术前视听语音感知、残余听力、抑郁和CT的综合测量来预测。我们的结果强调了与听力、语言、视听整合和认知功能相关的保留脑区对人工耳蜗植入成功的重要性。此外，脑MRI与其他预测指标相结合有助于识别可能需要更多时间来适应人工耳蜗植入的患者，从而实现更有针对性的康复，并可能提高疗效。
