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Source: NeuroImage: Clinical
Education: Learning
Procedure: PET Scan

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Total 4 results found since Jan 2013.

Reduced striatal activation in response to rewarding motor performance feedback after stroke
ConclusionStriatal hypoactivation in stroke survivors may cause impaired consolidation of motor skills. Stronger rewarding stimuli or drug-mediated enhancement may be needed to normalize reward processing after stroke with positive effects on recovery.
Source: NeuroImage: Clinical - October 24, 2019 Category: Radiology Source Type: research

Generalizing post-stroke prognoses from research data to clinical data
Publication date: Available online 14 October 2019Source: NeuroImage: ClinicalAuthor(s): Robert Loughnan, Diego L. Lorca-Puls, Andrea Gajardo-Vidal, Valeria Espejo-Videla, Céline R. Gillebert, Dante Mantini, Cathy J. Price, Thomas M.H. HopeAbstractAround a third of stroke survivors suffer from acquired language disorders (aphasia), but current medicine cannot predict whether or when they might recover. Prognostic research in this area increasingly draws on datasets associating structural brain imaging data with outcome scores for ever-larger samples of stroke patients. The aim is to learn brain-behavior trends from these ...
Source: NeuroImage: Clinical - October 15, 2019 Category: Radiology Source Type: research

White matter hyperintensity quantification in large-scale clinical acute ischemic stroke cohorts – The MRI-GENIE study
Publication date: Available online 29 May 2019Source: NeuroImage: ClinicalAuthor(s): Markus D. Schirmer, Adrian V. Dalca, Ramesh Sridharan, Anne-Katrin Giese, Kathleen L. Donahue, Marco J. Nardin, Steven J.T. Mocking, Elissa C. McIntosh, Petrea Frid, Johan Wasselius, John W. Cole, Lukas Holmegaard, Christina Jern, Jordi Jimenez-Conde, Robin Lemmens, Arne G. Lindgren, James F. Meschia, Jaume Roquer, Tatjana Rundek, Ralph L. SaccoAbstractWhite matter hyperintensity (WMH) burden is a critically important cerebrovascular phenotype linked to prediction of diagnosis and prognosis of diseases, such as acute ischemic stroke (AIS)....
Source: NeuroImage: Clinical - May 29, 2019 Category: Radiology Source Type: research

Automated quantification of cerebral edema following hemispheric infarction: Application of a machine-learning algorithm to evaluate CSF shifts on serial head CTs
In conclusion, we have developed and validated an accurate automated approach to segment CSF and calculate its shifts on serial CT scans. This algorithm will allow us to efficiently and accurately measure the evolution of cerebral edema in future studies including large multi-site patient populations.
Source: NeuroImage: Clinical - September 25, 2016 Category: Radiology Source Type: research