Combining behavior, neuroimaging and biomarkers to predict language deficits after stroke

摘要：项目3 中风是美国残疾的主要原因。言语和语言缺陷（失语症） 中风很常见。然而，有些失语症患者会迅速自发恢复， 留下了持续的赤字。同样，康复似乎对一些人有帮助，但对另一些人没有帮助。超出 由于初始损伤的严重性，我们没有经过验证的方法来预测人们可以预期的恢复程度。我们 这表明更好的预后措施可以帮助调整个体治疗。本提案的目的是 以确定神经影像学、急性行为和其他生物标志物的组合是否可以改善我们的神经功能。 绘制和预测中风恢复的能力。首先，我们将使用一种新的技术来绘制 言语失用症，失语症，左半球损伤的常见症状。第二，我们会看看我们是否可以 预测为慢性失语症患者提供的治疗的有效性。第三，我们将看到， 这些方法还可以预测接受康复治疗或治疗的急性/亚急性患者的恢复。 结合康复和脑刺激治疗。最后，我们将探讨这种计算机辅助预后 可以完全自动化，提供一个客观的工具，以帮助预测从中风恢复。

Summary: Project 3 Stroke is the leading cause of disability in the United States. Speech and language deficits (aphasia) following stroke are common. Yet, some individuals with aphasia experience rapid spontaneous recovery while others are left with persistent deficits. Likewise, rehabilitation appears to help some individuals but not others. Beyond the severity of initial impairments, we have no proven way to predict the extent of recovery one can expect. We suggest that better prognostic measures could help tailor individual treatment. The objective of this proposal is to determine whether the combination of neuroimaging, acute behavior and other biomarkers can improve our ability to map and predict recovery from stroke. First, we will use a new technique to map the anatomy of apraxia of speech, aphasia, a common symptom of left hemisphere injury. Second, we will see if we can predict the effectiveness of treatment provided to patients with chronic aphasia. Third, we will see whether these methods can also predict recovery in acute/subacute patients who receive either rehabilitation or a combined rehabilitation and brain stimulation therapy. Finally, we will explore if this computer-aided prognosis can be fully automated, providing an objective tool to help predict recovery from stroke.