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

摘要：项目3 在美国，中风是导致残疾的主要原因。言语和语言缺陷(失语症) 中风很常见。然而，一些失语症患者经历了快速的自然恢复，而另一些人则是 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。超越 至于最初损伤的严重程度，我们没有经过验证的方法来预测人们可以预期的复苏程度。我们 提示更好的预后措施可以帮助定制个体化治疗。这项提议的目标是 为了确定神经成像、急性行为和其他生物标记物的组合是否可以改善我们的 能够绘制和预测中风的康复情况。首先，我们将使用一种新技术来绘制 言语失用、失语，是左脑损伤的常见症状。第二，我们会看看我们是否可以 预测提供给慢性失语症患者的治疗效果。第三，我们将看看是否 这些方法还可以预测接受康复或治疗的急性/亚急性患者的康复情况。 康复与脑刺激相结合治疗。最后，我们将探索这种计算机辅助预测 可以完全自动化，提供了一个客观的工具来帮助预测中风的康复。

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.