Schneck Sarah M, Levy Deborah F, Entrup Jillian L, Yen Melodie, Eriksson Dana K, Casilio Marianne, Kasdan Anna V, Walljasper Lily, Onuscheck Caitlin F, Davis Larry T, Kirshner Howard S, de Riesthal Michael, Wilson Stephen M
Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
Department of Speech, Language, and Hearing Sciences, University of Arizona, Tucson, AZ 85721, USA.
medRxiv. 2025 Sep 19:2025.09.17.25335931. doi: 10.1101/2025.09.17.25335931.
Recovery from aphasia after stroke is thought to depend on functional reorganization of language processing in surviving brain regions. Many studies have investigated this process, but progress has been impeded by methodological limitations relating to task performance confounds, contrast validity, and sample sizes. Furthermore, few studies have accounted for the complex relationships that exist between patterns of structural damage, distributed networks of functional activity, and behavioral outcomes. The present cross-sectional study aimed to overcome these critical methodological limitations and to disentangle the relationships between structure, function, and behavior. We recruited 70 individuals with post-stroke aphasia and 45 neurologically normal comparison participants. We used a valid and reliable language mapping fMRI paradigm that adapted dynamically to each participant's task performance, and carried out whole-brain permutation analyses along with hypothesis-driven analyses of individually defined functional regions of interest (ROIs). Multivariable models were constructed that incorporated lesion load estimates derived from machine learning and language activations across multiple brain regions. We found strong evidence that left posterior temporal cortex is the most critical region for language processing in post-stroke aphasia: functional activity in this region was reduced in aphasia, predictive of aphasia outcomes in a whole-brain analysis above and beyond the contribution of lesion load, and remained predictive even above and beyond other functional predictors, with a medium effect size ( = 0.15). We also found that right posterior temporal cortex made an independent contribution to aphasia outcomes: functional activity was attenuated in aphasia, suggesting diaschisis, yet was predictive of aphasia outcomes above and beyond left hemisphere lesion load and functional predictors, with a small effect size ( = 0.08). We corroborated the importance of left frontal cortex: functional activity was attenuated in aphasia and predictive of aphasia outcomes over and beyond the contribution of lesion load; however, unlike in the bilateral temporal regions, functional activity in the left frontal lobe did not remain predictive once other functional predictors were included in the model. There was no support for other potential compensatory mechanisms such as recruitment of the right frontal lobe, the bilateral multiple demand network, or perilesional regions. Taken together, our findings demonstrate that functional imaging can provide critical insights into language processing in aphasia that cannot be obtained from structural imaging alone, with the left and right posterior temporal cortices making independent contributions to aphasia outcomes after stroke.
中风后失语症的恢复被认为取决于存活脑区中语言处理的功能重组。许多研究都对这一过程进行了调查,但由于与任务表现混淆、对比效度和样本量相关的方法学局限性,进展受到了阻碍。此外,很少有研究考虑到结构损伤模式、功能活动分布网络和行为结果之间存在的复杂关系。本横断面研究旨在克服这些关键的方法学局限性,并理清结构、功能和行为之间的关系。我们招募了70名中风后失语症患者和45名神经功能正常的对照参与者。我们使用了一种有效且可靠的语言映射功能磁共振成像范式,该范式会根据每个参与者的任务表现进行动态调整,并进行全脑置换分析以及对个体定义的感兴趣功能区域(ROI)的假设驱动分析。构建了多变量模型,纳入了从机器学习得出的病变负荷估计值以及多个脑区的语言激活情况。我们发现有力证据表明,左后颞叶皮质是中风后失语症语言处理的最关键区域:该区域的功能活动在失语症中降低,在全脑分析中,除了病变负荷的影响外,还能预测失语症结果,并且即使在其他功能预测因素之上,仍具有预测性,效应量中等(= 0.15)。我们还发现右后颞叶皮质对失语症结果有独立贡献:该区域的功能活动在失语症中减弱,提示远隔性机能障碍,但除了左半球病变负荷和功能预测因素外,仍能预测失语症结果,效应量较小(= 0.08)。我们证实了左额叶皮质的重要性:失语症中该区域的功能活动减弱,除了病变负荷的影响外,还能预测失语症结果;然而,与双侧颞叶区域不同,一旦模型中纳入其他功能预测因素,左额叶的功能活动就不再具有预测性。没有证据支持其他潜在的代偿机制,如右额叶、双侧多重需求网络或病变周围区域的募集。综上所述,我们的研究结果表明,功能成像可以为失语症中的语言处理提供关键见解,而这些见解无法仅从结构成像中获得,左、右后颞叶皮质对中风后的失语症结果有独立贡献。