Behavioural clusters and predictors of performance during recovery from stroke

2017/02/16 by L. E. Ramsey, Lenny Ramsey, Joshua S. Siegel +9 · 28 citations
Neuroscience · Medicine · #Spatial Neglect and Hemispheric Dysfunction #Stroke Rehabilitation and Recovery #Acute Ischemic Stroke Management

paper · doi:10.1038/s41562-016-0038

Cited by

• Aphasia severity prediction using a multi-modal machine learning approach
• Disentangling neuroplasticity mechanisms in post-stroke language recovery
• White matter microstructural integrity pre- and post-treatment in individuals with chronic post-stroke aphasia
• Re-emergence of modular brain networks in stroke recovery. [europepmc]
• Predicting recovery in acute poststroke aphasia. [europepmc]
• Is Environmental Enrichment Ready for Clinical Application in Human Post-stroke Rehabilitation? [europepmc]
• Recovery after stroke: not so proportional after all? [europepmc]
• The architecture of functional lateralisation and its relationship to callosal connectivity in the human brain. [europepmc]
• Brain networks and their relevance for stroke rehabilitation. [europepmc]
• A Comparison of Shallow and Deep Learning Methods for Predicting Cognitive Performance of Stroke Patients From MRI Lesion Images. [europepmc]
• Structural Disconnections Explain Brain Network Dysfunction after Stroke. [europepmc]
• Assessing and mapping language, attention and executive multidimensional deficits in stroke aphasia. [europepmc]
• Resting-state functional connectivity predicts individual language impairment of patients with left hemispheric gliomas involving language network. [europepmc]
• Post-stroke deficit prediction from lesion and indirect structural and functional disconnection. [europepmc]
• An empirical comparison of univariate versus multivariate methods for the analysis of brain-behavior mapping. [europepmc]
• Post-Stroke Working Memory Dysfunction: A Meta-Analysis and Systematic Review. [europepmc]
• Machine learning-based multimodal prediction of language outcomes in chronic aphasia. [europepmc]
• Interaction between cognitive reserve and age moderates effect of lesion load on stroke outcome. [europepmc]
• Lesion Quantification Toolkit: A MATLAB software tool for estimating grey matter damage and white matter disconnections in patients with focal brain lesions. [europepmc]
• Upper Limb Performance in Daily Life Approaches Plateau Around Three to Six Weeks Post-stroke. [europepmc]
• Post-Stroke Cognitive Impairment: Pathophysiological Insights into Brain Disconnectome from Advanced Neuroimaging Analysis Techniques. [europepmc]
• Post-stroke outcomes predicted from multivariate lesion-behaviour and lesion network mapping. [europepmc]
• Understanding Language Reorganization With Neuroimaging: How Language Adapts to Different Focal Lesions and Insights Into Clinical Applications. [europepmc]
• EEG Microstate-Specific Functional Connectivity and Stroke-Related Alterations in Brain Dynamics. [europepmc]
• Mapping correlated neurological deficits after stroke to distributed brain networks. [europepmc]
• Subcortical-cortical dynamical states of the human brain and their breakdown in stroke. [europepmc]
• Relation Between EEG Measures and Upper Limb Motor Recovery in Stroke Patients: A Scoping Review. [europepmc]
• A narrative review of the anatomy and function of the white matter tracts in language production and comprehension. [europepmc]