UNASSIGNED: There currently remains considerable variability in @entity64 survivor recovery. To address this, developing individualized treatment has become an important goal in @entity64 treatment. As a first step, it is necessary to determine brain dynamics associated with @entity64 and recovery. While recent methods have made strides in this direction, we still lack physiological biomarkers. The Virtual Brain ( @entity7298 ) is a novel application for modeling brain dynamics that simulates an individual's brain activity by integrating their own neuroimaging data with local biophysical models. Here, we give a detailed description of the @entity7298 modeling process and explore model parameters associated with @entity64 . In order to establish a parallel between this new type of modeling and those currently in use, in this work we establish an association between a specific @entity7298 parameter (long-range coupling) that increases after @entity64 with metrics derived from graph analysis. We used @entity7298 to simulate the individual BOLD signals for 20 @entity1 with @entity64 and 10 healthy controls. We performed graph analysis on their structural connectivity matrices calculating degree centrality, betweenness centrality, and global efficiency. Linear regression analysis demonstrated that long-range coupling is negatively correlated with global efficiency (P   =   0.038), but is not correlated with degree centrality or betweenness centrality. Our results suggest that the larger influence of local dynamics seen through the long-range coupling parameter is closely associated with a decreased efficiency of the system. We thus propose that the increase in the long-range parameter in @entity7298 (indicating a bias @entity7298 ) is deleterious because it reduces communication as suggested by the decrease in efficiency. The new model platform @entity7298 hence provides a novel perspective to understanding biophysical parameters responsible for global brain dynamics after @entity64 , allowing the design of focused therapeutic interventions.

The Virtual Brain: Modeling Biological Correlates of Recovery after XXXX .

@entity7298 :: ('MESH:D006963', 'Disease') :: ['TVB', 'toward local over global dynamics'] @entity1 :: ('9606', 'Species') :: ['patients'] @entity64 :: ('MESH:D020521', 'Disease') :: ['stroke']
@entity64 :: (MESH:D020521,Disease) :: ['Chronic Stroke']
