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Neuroimaging post-stroke has the potential to uncover underlying principles of disturbed hand function and recovery characterizing defined patient groups, including their long term course as well as individual variations. The methods comprise functional magnetic resonance imaging (MRI) measuring task related activation as well as resting state. Functional MRI may be complemented by arterial spin labeling (ASL) MRI to investigate slowly varying blood flow and associated changes in brain function. For structural MRI robust and accurate computational anatomical methods like voxel-based morphometry and surface based techniques are available. The investigation of the connectivity among brain regions and disruption after stroke is facilitated by diffusion tensor imaging (DTI). Intra- and interhemispheric coherence may be studied by electromagnetic techniques such as electroencephalography and transcranial magnetic stimulation. Consecutive phases of stroke recovery (acute, subacute, early chronic and late chronic stages) are each distinguished by intrinsic processes. The site and size of lesions entail partially different functional implications. New strategies to establish functional specificity of a lesion site include calculating contrast images between patients exhibiting a specific disorder and control subjects without the disorder. Large-size lesions often imply poor cerebral blood flow which impedes recovery significantly and possibly interferes with BOLD response of functional MRI. Thus, depending on the site and size of the infarct lesion the patterns of recovery will vary. These include recovery sensu stricto in the perilesional area, intrinsic compensatory mechanisms using alternative cortical and subcortical pathways, or behavioral compensatory strategies e.g. by using the non-affected limb. In this context, behavioral and neuroimaging measures should be developed and employed to delineate aspects of learning during recovery. Of special interest in recovery of hand paresis is the interplay between sensory and motor areas in the posterior parietal cortex involved during reaching and fine motor skills as well as the interaction with the contralesional hemisphere. The dominant disability should be characterized, from the level of elementary to hierarchically higher processes such as neglect, apraxia and motor planning. In summary, this Research Topic covers new trends in state of the art neuroimaging of stroke during recovery from upper limb paresis. Integration of behavioral and neuroimaging findings in probabilistic brain atlases will further advance knowledge about stroke recovery.

stroke recovery --- Motor Imagery --- structural covariance --- Somatosensory Disorders --- perilesional plasticity --- network reorganization --- multimodal neuroimaging --- Neurorehabilitation --- computational biophysical modeling --- motor control

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The 15th Estuarine and Coastal Modeling Conference provides a venue for commercial, academic, and government scientists and engineers from around the world to present and discuss the latest results and techniques in applied estuarine and coastal modeling. Prospective authors are invited to submit papers on a wide range of topic areas, including:• Pollutant Transport and Water Quality Prediction• Coastal Response to Climate Change• Modeling Techniques and Sensitivity Studies• Model Assessment• Modeling Specific Estuarine and Coastal Systems• Visualization and Analysis• Wave and Sediment Transport Modeling• Modeling of Chemicals and Floatables• Oil Spill Transport and Fate Modeling• Inverse Methods• Circulation Modeling• Facility Siting and CSO Studies• Data Assimilation• Nowcast/Forecast Modeling Systems• Modeling Systems with Strong Buoyancy Forcing• Modeling of Coupled Systems• Risk Analysis (Nuclear Reactors, Flood Forecasting)

water level --- stratification --- Chatham Sound --- wave hindcast --- water level time series --- marine construction --- storm surge --- VDatum --- NARR --- estuarine modeling --- ecosystem simulation --- CFSR --- Sandusky Bay --- hydrodynamic modeling --- river discharge --- tidal datums --- British Columbia --- geospatial data visualization --- ocean modeling --- operational forecast --- numerical model --- initial dilution zone --- Puget Sound --- anthropogenic impact --- Finite Volume Community Ocean Model --- Salish Sea --- hydrodynamic numerical model --- compound events --- sea level rise --- marine --- Finite-Volume Community Ocean Model (FVCOM) --- CE-QUAL-W2 --- CICE --- temperature --- barotropic --- statistical interpolation --- unstructured grid --- wind-driven current --- Salish Sea model --- wave energy --- ADCIRC --- sediment transport --- breakwater --- biophysical modeling --- model calibration --- harbor --- Great Lakes --- multi-level nested-grid modeling --- property-carrying particle model --- spatially varying uncertainty (SVU) --- FVCOM --- phytoplankton --- MIKE21SW --- baroclinic --- tidal currents --- climate change --- operational nowcast and forecast system --- tidal constituent database --- spatially varying uncertainty --- momentum balance --- coastal ocean modeling --- eutrophication --- Hood Canal --- flooding --- coupled models --- environmental assessment --- water quality --- nearshore restoration --- SWAN --- Texas --- H3D --- coastal storm --- floating bridge --- wind forcing --- tidal current --- lateral circulation --- zone of influence --- ADvanced CIRCulation model (ADCIRC) --- non-tidal zones --- agriculture --- sediment model --- short-lived radioisotopes --- coastal and estuarine modeling --- Eastern North Pacific Ocean (ENPAC) --- Gulf of Mexico --- cloud computing --- feasibility assessments --- internal tides --- ice modeling --- salinity --- north-east Gulf of Mexico --- data analysis --- Brown Passage --- WaveWatch III --- marine grid population --- channel deepening --- hydrodynamics --- large-wave hindcast --- western Louisiana --- tides --- estuary --- algal growth kinetics --- circulation --- salt wedge