Purpose: Brain areas frequently implicated in language recovery after stroke comprise perilesional sites in the left hemisphere and homotopic regions in the right hemisphere. However, the neuronal mechanisms underlying language restoration are still largely unclear. Methods and materials: In the present study, we investigated the brain function in 15 patients with poststroke aphasia and 30 matched control subjects by combining the regional homogeneity (ReHo) and amplitudes of low-frequency fluctuation (ALFF) analysis methods based on resting-state fMRI. Results: Compared to the control subjects, the patients with aphasia exhibited increased ReHo and ALFF values in the ipsilateral perilesional areas and increased ReHo in the contralesional right middle frontal gyrus. Conclusions: The increased spontaneous brain activity in patients with poststroke aphasia during the recovery period, specifically in the ipsilateral perilesional regions and the homologous language regions of the right hemisphere, has potential implications for the treatment of patients with aphasia.

Background: Motoric Cognitive Risk syndrome (MCR), known as the predementia stage, is characterized by both subjective cognitive complaint (SCC) and slow gait. This study aimed to investigate the causal relationship between MCR, its components, and falls.Methods: Participants aged ≥ 60 years were selected from China Health and Retirement Longitudinal Study. SCC was determined by participants' responses to the question “How would you rate your memory at present?” with “poor” being the indicative answer. Slow gait was defined as one standard deviation or more below age‐ and gender‐appropriate mean values of gait speed. MCR was identified when both SCC and slow gait were presented. Future falls were investigated by the question “have you fallen down during follow‐up until wave 4 in 2018?” Logistic regression analysis was performed to test the longitudinal association of MCR, its components and future falls during the following 3 years.Results: Of 3748 samples in this study, the prevalence of MCR, SCC, and slow gait was 5.92%, 33.06%, and 15.21%, respectively. MCR increased the risk of falls during the following 3 years by 66.7% compared to non‐MCR after controlling for covariates. In the fully adjusted models, with the healthy group as reference, MCR (OR = 1.519, 95%CI = 1.086–2.126) and SCC (OR = 1.241, 95%CI = 1.018–1.513), but not slow gait, increased the risk of future falls.Conclusions: MCR independently predicts future falls risk in the following 3 years. Measuring MCR can be a pragmatic tool for early identification of falls risk.