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Ling E. Wang

Researcher at University of Hong Kong

Publications -  10
Citations -  2625

Ling E. Wang is an academic researcher from University of Hong Kong. The author has contributed to research in topics: Premotor cortex & Functional magnetic resonance imaging. The author has an hindex of 8, co-authored 10 publications receiving 2268 citations. Previous affiliations of Ling E. Wang include RWTH Aachen University & University of Texas at Austin.

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Coordinate-based activation likelihood estimation meta-analysis of neuroimaging data: a random-effects approach based on empirical estimates of spatial uncertainty

TL;DR: The authors showed that the revised ALE‐algorithm overcomes conceptual problems of former meta‐analyses and increases the specificity of the ensuing results without loosing the sensitivity of the original approach, and may provide a methodologically improved tool for coordinate‐based meta-analyses on functional imaging data.
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Modulating cortical connectivity in stroke patients by rTMS assessed with fMRI and dynamic causal modeling

TL;DR: Connectivity analyses suggest that both a reduction of pathological transcallosal influences (originating from contralesional M1) and a restitution of ipsilesional effective connectivity between SMA and M1 underlie improved motor performance.
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Dynamic causal modeling of cortical activity from the acute to the chronic stage after stroke

TL;DR: Findings show that the reinstatement of effective connectivity in the ipsilesional hemisphere is an important feature of motor recovery after stroke, and the shift of an early, supportive role of contralesional M1 into enhanced inhibitory coupling might indicate maladaptive processes which could be a target of non-invasive brain stimulation techniques.
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Degeneration of corpus callosum and recovery of motor function after stroke: A multimodal magnetic resonance imaging study

TL;DR: In this article, the effect of focal white matter ischemia on functional reorganization within the motor system was investigated using parameters derived from diffusion magnetic resonance imaging (MRI) and a laterality index was employed on activated voxels.
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Noradrenergic enhancement improves motor network connectivity in stroke patients.

TL;DR: Both animal and human data suggest that noradrenergic stimulation may enhance motor performance after brain damage, and a placebo‐controlled, double‐blind and crossover design study to investigate the effects of noradRenergic stimulation on the cortical motor system in hemiparetic stroke patients is conducted.