Dynamic Interactions Between Hemispheres Reveal a Compensatory Pathway for Motor Recovery in Moderate-to-Severe Subcortical Stroke
Fudan University · Shanghai Institute for Science of Science · +13 more institutions
Abstract
We analyzed resting-state functional magnetic resonance imaging data from patients with unilateral subcortical stroke and moderate-to-severe upper limb deficits, both pre- and postintervention, along with data from healthy controls. We developed a novel dynamic lag analysis method for identifying recovery-related homotopic sensorimotor regions with altered interhemispheric interactions. To further uncover the global reorganization pathway, we developed dynamic lateralization approaches to detect large-scale functional connectivity (FC) alterations associated with the identified regions in transient lateralization states.
Dynamic time-lag analysis revealed significantly reduced synchronized states in the homotopic dorsal premotor cortex (PMd) post-intervention compared with pre-intervention, which correlated with motor recovery. Further dynamic lateralization analysis revealed a prolonged segregation state in patients, characterized by weakened interhemispheric and strengthened intrahemispheric interactions. In this state, patients showed decreased FC in the ipsilesional PMd and increased FC in the contralesional PMd with bilateral subcortical networks. These recovery-related alterations were absent in the traditional static analysis.
Citation impact
- FWCI
- 293.82
- Percentile
- 100%
- References
- 75
Authors
13- HFHuaxin FanCorresponding
Fudan University, Shanghai Institute for Science of Science, UK Dementia Research Institute, Shanghai Center for Brain Science and Brain-Inspired Technology, Imperial College London
- HWHewei Wang
Fudan University, Huashan Hospital
- ZLZhengxu Lian
Fudan University, Shanghai Institute for Science of Science, Shanghai Center for Brain Science and Brain-Inspired Technology
- QYQiurong Yu
Shanghai Jiao Tong University, Ruijin Hospital
- XWXinran Wu
Fudan University, Shanghai Institute for Science of Science, Shanghai Center for Brain Science and Brain-Inspired Technology
Topics & keywords
- Stroke recovery
- Spontaneous recovery
- Neuroplasticity
- Stroke (engine)
- Functional connectivity