Functional anomaly mapping of aphasia recovery

失语症恢复的功能异常图谱

• 批准号: 10398979
• 负责人: Andrew T DeMarco
• 金额: $ 12.04万
• 依托单位: GEORGETOWN UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-07-01 至 2023-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10398979
• 关键词: Affect; Algorithms; Anatomy; Aphasia; Architecture; Area; Award; Behavioral; Biological; Blood Vessels; Brain; Characteristics; Chronic; Clinical; Communication; Data; Data Set; Deafferentation procedure; Diagnosis; Distant; Exhibits; Functional Magnetic Resonance Imaging; Functional disorder; Goals; Individual; Knowledge; Language; Lead; Left; Length; Lesion; Location; Longitudinal Studies; Longitudinal prospective study; Machine Learning; Maps; Measures; Mentors; Modeling; National Institute on Deafness and Other Communication Disorders; Neuronal Plasticity; Outcome; Pattern; Performance; Persons; Phase; Physiology; Recovery; Reproducibility; Research; Research Training; Residual state; Resolution; Rest; Sample Size; Scanning; Severities; Signal Transduction; Source; Specific qualifier value; Strategic Planning; Stroke; Structure; Symptoms; Testing; Time; Training; aphasia recovery; base; behavior measurement; behavioral outcome; biomarker development; brain behavior; chronic stroke; clinical decision-making; cohort; experience; imaging modality; improved; machine learning algorithm; multimodality; neural correlate; neurobiological mechanism; neuroimaging; neurological rehabilitation; neuromechanism; post stroke; programs; public health relevance; spatiotemporal; stroke recovery; stroke survivor; stroke-induced aphasia; tool; white matter

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.

项目摘要 沟通困难（失语症）是左半球最常见和最令人衰弱的结果之一 中风虽然失语症的症状是高度可变的，恢复是难以预测的，许多研究已经 显示病灶大小和位置是失语症症状和恢复的主要驱动因素。但这 先前的研究仅考虑了由病变引起的直接解剖损伤。这是一个关键 限制，因为中风病变也会对远离大脑结构的功能产生间接影响。 损伤。在整个申请中，我将其称为“远程功能障碍”。虽然最初认为解决 中风后不久，现在已知远端功能障碍在整个恢复过程中持续存在， 有助于结果。失语症恢复的研究几乎完全集中在恢复的想法上 通过大脑的可塑性重组， 网络.这些研究避开了旧的观点，即恢复是通过部分解决 由病变引起的远端功能障碍（RRD）。因此，目前尚不清楚RRD如何导致失语症 复苏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)它使用静息BOLD功能性MRI信号来绘制整个大脑的远程功能障碍， 中风幸存者FAM地图有更好的重测信度比目前的措施，如任务- 相关的功能磁共振成像活动和静息状态功能连接，以及其他几个功能，使它 有望成为临床有用的工具。申请人已经证明远程功能障碍 与慢性失语症患者的行为结果有关。在指导期间， 在本奖项的第一阶段，申请人将优化FAM方法，并测试有关 在慢性失语症中测量产生远程功能障碍的生物学机制。期间 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。申请人提出一个全面的培训计划，以扩大他的知识， 以下领域：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、生物标记物开发和高级神经影像分析。在此期间的研究和培训 该奖项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，并制定翻译大脑措施，以告知临床 失语症神经康复的决策。

项目成果

Aphasia severity is modulated by race and lesion size in chronic survivors: A retrospective study.

慢性幸存者失语症的严重程度受种族和病变大小的调节：一项回顾性研究。

• DOI: 10.1016/j.jcomdis.2022.106270
• 发表时间: 2022
• 期刊: Journal of communication disorders
• 影响因子: 1.7
• 作者: Gadson,DavetrinaS;Wesley,DeliyaB;vanderStelt,CandaceM;Lacey,Elizabeth;DeMarco,AndrewT;Snider,SarahF;Turkeltaub,PeterE
• 通讯作者: Turkeltaub,PeterE

Structural disconnection of the posterior medial frontal cortex reduces speech error monitoring.

• DOI: 10.1016/j.nicl.2021.102934
• 发表时间: 2022
• 期刊: NeuroImage. Clinical
• 作者: McCall JD;Vivian Dickens J;Mandal AS;DeMarco AT;Fama ME;Lacey EH;Kelkar A;Medaglia JD;Turkeltaub PE
• 通讯作者: Turkeltaub PE