Poststroke aphasia is one of the most dramatic functional deficits that results from direct damage of focal brain regions and dysfunction of large-scale brain networks. The reconstruction of language function depends on the hierarchical whole-brain dynamic reorganization. However, investigations into the longitudinal neural changes of large-scale brain networks for poststroke aphasia remain scarce. Here we characterize large-scale brain dynamics in left-frontal-stroke aphasia through energy landscape analysis. Using fMRI during an auditory comprehension task, we find that aphasia patients suffer serious whole-brain dynamics perturbation in the acute and subacute stages after stroke, in which the brains were restricted into two major activity patterns. Following spontaneous recovery process, the brain flexibility improved in the chronic stage. Critically, we demonstrated that the abnormal neural dynamics are correlated with the aberrant brain network coordination. Taken together, the energy landscape analysis exhibited that the acute poststroke aphasia has a constrained, low dimensional brain dynamics, which were replaced by less constrained and high dimensional dynamics at chronic aphasia. Our study provides a new perspective to profoundly understand the pathological mechanisms of poststroke aphasia.

中风后失语症是最严重的功能缺陷之一，由大脑局部区域的直接损伤和大规模大脑网络的功能障碍引起。语言功能的重建依赖于分层的全脑动态重组。然而，对脑卒中后失语症的大规模脑网络的纵向神经变化的研究仍然很少。在这里，我们通过能量景观分析来表征左额中风失语症的大规模大脑动力学。在听觉理解任务中使用 fMRI，我们发现失语症患者在中风后的急性和亚急性阶段遭受严重的全脑动力学扰动，其中大脑被限制为两种主要活动模式。在自发恢复过程之后，慢性阶段的大脑灵活性得到改善。至关重要的是，我们证明异常的神经动力学与异常的大脑网络协调相关。综上所述，能量景观分析表明，急性卒中后失语症具有受限的低维脑动力学，而慢性失语症则被受限较小的高维脑动力学所取代。我们的研究为深入了解脑卒中后失语的病理机制提供了新的视角。