Functional anomaly mapping of aphasia recovery

交流困难（失语症）是左半球中风最常见和最令人衰弱的结果之一。虽然失语症的症状是高度可变的，恢复是难以预测的，许多研究表明，病变的大小和位置是失语症症状和恢复的主要驱动因素。然而，以前的研究只考虑了病变引起的直接解剖损伤。这是一个关键的限制，因为中风病变也会对远离病变的脑结构的功能产生间接影响。在整个申请中，我将其称为“远程功能障碍”。虽然最初认为在中风后迅速解决，但现在已知远程功能障碍在整个恢复过程中持续存在，并独立影响结果。失语症恢复的研究几乎完全集中在通过重组恢复的想法上，即通过大脑网络的可塑性重组来改善行为。这些研究避开了旧的观点，即通过病变引起的远端功能障碍（RRD）的部分解决来实现恢复。因此，目前尚不清楚RRD如何有助于失语症的恢复。申请人开发了一种新的机器学习方法，称为功能异常映射（FAM），该方法使用静息BOLD功能性MRI信号来映射个体中风幸存者整个大脑的远程功能障碍。FAM图比目前的测量方法具有更好的重测信度，如任务相关的功能磁共振成像活动和静息状态功能连接，以及其他几个使其成为临床有用工具的功能。申请人已经证明，用FAM测量的远端功能障碍与慢性失语症患者的行为结果有关。在该奖项的指导阶段，申请人将优化FAM方法，并测试有关产生慢性失语症中测量的远程功能障碍的生物学机制的相互竞争的假设。在独立阶段，申请人提出了一项纵向研究，以了解RRD对失语症恢复的贡献。申请人提出了一个全面的培训计划，以扩大他在以下领域的知识：中风恢复的生物学机制和失语症以外的神经可塑性，机器学习，生物标志物开发和先进的神经影像学分析。该奖项期间的研究和培训将使申请人能够开发一个长期的，独立的研究计划，重点是了解失语症的神经相关性，并开发翻译大脑措施，为失语症神经康复的临床决策提供信息。

Project Summary Difficulty communicating (aphasia) is one of the most common and debilitating results of left-hemisphere stroke. Although aphasia symptoms are highly variable and recovery is difficult to predict, much research has shown that lesion size and location are major drivers of aphasia symptoms and recovery. However, this previous research has only considered direct anatomical damage caused by the lesion. This is a critical limitation because stroke lesions also cause indirect effects on the function of brain structures distant from the lesion. Throughout this application, I refer to this as “remote dysfunction.” Although initially thought to resolve quickly after the stroke, remote dysfunction is now known to persist throughout recovery and independently contribute to outcomes. Studies of aphasia recovery have focused almost exclusively on the idea of recovery through reorganization, whereby behavioral improvement occurs through plastic reorganization of brain networks. These studies have eschewed the older idea that recovery occurs through partial resolution of remote dysfunction (RRD) caused by lesions. Consequently, it is not clear how RRD contributes to aphasia recovery. The applicant has developed a new machine learning approach called functional anomaly mapping (FAM) that uses resting BOLD functional MRI signal to map remote dysfunction throughout the brain in individual stroke survivors. FAM maps have much better test-retest reliability than current measures, like task- related fMRI activity and resting state functional connectivity, as well as several other features that make it promising as a clinically useful tool. The applicant has already demonstrated that remote dysfunction measured with FAM relates to behavioral outcomes in people with chronic aphasia. During the mentored phase of this award, the applicant will optimize the FAM approach and test competing hypotheses about the biological mechanisms generating the remote dysfunction measured in chronic aphasia. During the independent phase, the applicant proposes a longitudinal study to understand the contribution of RRD to aphasia recovery. The applicant proposes a comprehensive training plan to expand his knowledge in the following areas: the biological mechanisms of stroke recovery and neuroplasticity beyond aphasia, machine learning, biomarker development, and advanced neuroimaging analysis. The research and training during this award will enable the applicant to develop a long-term, independent research program focused on understanding the neural correlates of aphasia and developing translational brain measures to inform clinical decision-making in aphasia neurorehabilitation.