Department of Cognitive Science, Johns Hopkins University, Baltimore, MD, USA; Maryland Neuroimaging Center, University of Maryland, College Park, MD, USA.
Department of Cognitive Science, Johns Hopkins University, Baltimore, MD, USA; Department of Psychology, University of North Carolina, Greensboro, NC, USA.
Neuroimage. 2019 Nov 15;202:116145. doi: 10.1016/j.neuroimage.2019.116145. Epub 2019 Aug 31.
Identifying the neural changes that support recovery of cognitive functions after a brain lesion is important to advance our understanding of human neuroplasticity, which, in turn, forms the basis for the development of effective treatments. To date, the preponderance of neuroimaging studies has focused on localizing changes in average brain activity associated with functional recovery. Here, we took a novel approach by evaluating whether cognitive recovery in chronic stroke is related to increases in the differentiation of local neural response patterns. This approach is supported by research indicating that, in the intact brain, local neural representations become more differentiated (dissimilar) with learning (Glezer et al., 2015). We acquired fMRI data before and after 21 individuals received approximately 12 weeks of behavioral treatment for written language impairment due to a left-hemisphere stroke. We used Local-Heterogeneity Regression Analysis (Purcell and Rapp, 2018) to measure local neural response differentiation associated with written language processing, assuming that greater heterogeneity in the pattern of activity across adjacent neural areas indicates more well-differentiated neural representations. First, we observed pre to post-treatment increases in local neural differentiation (Local-Hreg) in the ventral occipital-temporal cortex of the left hemisphere. Second, we found that, in this region, higher local neural response differentiation prior to treatment was associated with less severe written language impairment, and that it also predicted greater future responsiveness to treatment. Third, we observed that changes in neural differentiation were systematically related to performance changes for trained and untrained items. Fourth, we did not observe these brain-behavior relationships for mean BOLD responses, only for Local-Hreg. Thus, this is the first investigation to quantify changes in local neural differentiation in the recovery of a cognitive function and the first to demonstrate the clear behavioral relevance of these changes. We conclude that the findings provide strong support for the novel hypothesis that the local re-differentiation of neural representations can play a significant role in functional recovery after brain lesion.
确定支持大脑损伤后认知功能恢复的神经变化对于深入了解人类神经可塑性很重要,而神经可塑性又是开发有效治疗方法的基础。迄今为止,大量神经影像学研究集中于定位与功能恢复相关的平均大脑活动变化。在这里,我们采用了一种新方法,评估慢性中风患者的认知恢复是否与局部神经反应模式的分化增加有关。这种方法得到了以下研究的支持:在未受损的大脑中,局部神经表示随着学习而变得更加分化(不同)(Glezer 等人,2015 年)。我们在 21 名因左半球中风而导致书面语言障碍的患者接受大约 12 周行为治疗前后获取了 fMRI 数据。我们使用局部异质性回归分析(Purcell 和 Rapp,2018 年)来测量与书面语言处理相关的局部神经反应分化,假设在相邻神经区域的活动模式中存在更大的异质性表明神经表示更分化。首先,我们观察到左半球腹侧枕颞叶的局部神经分化(Local-Hreg)在治疗前到治疗后的增加。其次,我们发现,在该区域,治疗前较高的局部神经反应分化与更严重的书面语言障碍有关,并且它也预测了对治疗的更大未来反应性。第三,我们观察到神经分化的变化与训练和未训练项目的表现变化系统相关。第四,我们仅在 Local-Hreg 中观察到了这些大脑-行为关系,而不是在平均 BOLD 反应中观察到。因此,这是首次定量研究认知功能恢复过程中局部神经分化的变化,也是首次证明这些变化具有明确的行为相关性。我们的结论是,这些发现为局部神经表示重新分化可以在大脑损伤后的功能恢复中发挥重要作用的新假设提供了有力支持。