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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

Cognitive and neural mechanisms underlying the mnemonic effect of songs after stroke
Publication date: Available online 5 August 2019Source: NeuroImage: ClinicalAuthor(s): Vera Leo, Aleksi J. Sihvonen, Tanja Linnavalli, Mari Tervaniemi, Matti Laine, Seppo Soinila, Teppo SärkämöAbstractSung melody provides a mnemonic cue that can enhance the acquisition of novel verbal material in healthy subjects. Recent evidence suggests that also stroke patients, especially those with mild aphasia, can learn and recall novel narrative stories better when they are presented in sung than spoken format. Extending this finding, the present study explored the cognitive mechanisms underlying this effect by determining wheth...
Source: NeuroImage: Clinical - August 6, 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

Brain age prediction in stroke patients: Highly reliable but limited sensitivity to cognitive performance and response to cognitive training
Publication date: Available online 30 December 2019Source: NeuroImage: ClinicalAuthor(s): Geneviève Richard, Knut Kolskår, Kristine M. Ulrichsen, Tobias Kaufmann, Dag Alnæs, Anne-Marthe Sanders, Erlend S. Dørum, Jennifer Monereo Sánchez, Anders Petersen, Hege Ihle-Hansen, Jan Egil Nordvik, Lars T. WestlyeAbstractCognitive deficits are important predictors for outcome, independence and quality of life after stroke, but often remain unnoticed and unattended because other impairments are more evident. Computerized cognitive training (CCT) is among the candidate interventions that may alleviate cognitive difficulties, but...
Source: NeuroImage: Clinical - December 30, 2019 Category: Radiology Source Type: research

Decoding post-stroke motor function from structural brain imaging
Publication date: Available online 2 August 2016 Source:NeuroImage: Clinical Author(s): Jane M. Rondina, Maurizio Filippone, Mark Girolami, Nick S. Ward Clinical research based on neuroimaging data has benefited from machine learning methods, which have the ability to provide individualized predictions and to account for the interaction among units of information in the brain. Application of machine learning in structural imaging to investigate diseases that involve brain injury presents an additional challenge, especially in conditions like stroke, due to the high variability across patients regarding characteristics of ...
Source: NeuroImage: Clinical - August 2, 2016 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

Multivariate prediction of functional outcome using lesion topography characterized by acute diffusion tensor imaging
Publication date: Available online 10 April 2019Source: NeuroImage: ClinicalAuthor(s): Eric Moulton, Romain Valabregue, Stephane Lehéricy, Yves Samson, Charlotte RossoAbstractThe relationship between stroke topography and functional outcome has largely been studied with binary manual lesion segmentations. However, stroke topography may be better characterized by continuous variables capable of reflecting the severity of ischemia, which may be more pertinent for long-term outcome. Diffusion Tensor Imaging (DTI) constitutes a powerful means of quantifying the degree of acute ischemia and its potential relation to functional...
Source: NeuroImage: Clinical - April 11, 2019 Category: Radiology Source Type: research

Structural and functional connectivity of motor circuits after perinatal stroke: A machine learning study
Publication date: Available online 19 November 2020Source: NeuroImage: ClinicalAuthor(s): Helen L. Carlson, Brandon T. Craig, Alicia Hilderley, Jacquie Hodge, Deepthi Rajashekar, Pauline Mouches, Nils D. Forkert, Adam Kirton
Source: NeuroImage: Clinical - November 19, 2020 Category: Radiology Source Type: research

Impact of the reperfusion status for predicting the final stroke infarct using deep learning
Publication date: Available online 25 December 2020Source: NeuroImage: ClinicalAuthor(s): Noëlie Debs, Tae-Hee Cho, David Rousseau, Yves Berthezène, Marielle Buisson, Omer Eker, Laura Mechtouff, Norbert Nighoghossian, Michel Ovize, Carole Frindel
Source: NeuroImage: Clinical - December 25, 2020 Category: Radiology Source Type: research

An automatic machine learning approach for ischemic stroke onset time identification based on DWI and FLAIR imaging
Publication date: Available online 3 July 2021Source: NeuroImage: ClinicalAuthor(s): Haichen Zhu, Liang Jiang, Hong Zhang, Limin Luo, Yang Chen, Yuchen Chen
Source: NeuroImage: Clinical - July 3, 2021 Category: Radiology Source Type: research