ORCID Profile
0000-0002-6203-4543
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Publisher: Springer Science and Business Media LLC
Date: 19-04-2021
DOI: 10.1038/S41598-021-87789-5
Abstract: Stroke leads to both regional brain functional disruptions and network reorganization. However, how brain functional networks reconfigure as task demand increases in stroke patients and whether such reorganization at baseline would facilitate post-stroke motor recovery are largely unknown. To address this gap, brain functional connectivity (FC) were examined at rest and motor tasks in eighteen chronic subcortical stroke patients and eleven age-matched healthy controls. Stroke patients underwent a 2-week intervention using a motor imagery-assisted brain computer interface-based (MI-BCI) training with or without transcranial direct current stimulation (tDCS). Motor recovery was determined by calculating the changes of the upper extremity component of the Fugl–Meyer Assessment (FMA) score between pre- and post-intervention ided by the pre-intervention FMA score. The results suggested that as task demand increased (i.e., from resting to passive unaffected hand gripping and to active affected hand gripping), patients showed greater FC disruptions in cognitive networks including the default and dorsal attention networks. Compared to controls, patients had lower task-related spatial similarity in the somatomotor–subcortical, default–somatomotor, salience/ventral attention–subcortical and subcortical–subcortical connections, suggesting greater inefficiency in motor execution. Importantly, higher baseline network-specific FC strength (e.g., dorsal attention and somatomotor) and more efficient brain network reconfigurations (e.g., somatomotor and subcortical) from rest to active affected hand gripping at baseline were related to better future motor recovery. Our findings underscore the importance of studying functional network reorganization during task-free and task conditions for motor recovery prediction in stroke.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2020
Publisher: INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols
Date: 09-09-2022
DOI: 10.37766/INPLASY2022.9.0043
Abstract: Review question / Objective: Review Questions: 1. What are the publicly available databases that can identified in Complementary and Integrative Medicine (CIM) studies? 2. What are the main characteristics of these studies? 3. Which of the CIM studies identified are associated with rehabilitation? Objectives 1. To create a tool for future research approaches based on lessons from the studies identified - hence promoting robust scientific protocols in its pursuit – for better acceptance by scientists, practitioners, and end-users. 2. To map and review open access databases that include CIM related data as defined by the National Institute of Health in 2012. 3. To highlight a subset of CIM studies that are associated with rehabilitation to be identified as CIRM and promote it as an inclusive rehabilitative modality. 4. To guide future research on Complementary and Integrative Medicine. 5. To stimulate future research in Complementary and Integrative Medicine. 6. To promote evidence-based practice in Complementary and Integrative Medicine.
No related grants have been discovered for Hsiao-ju Cheng.