Literature DB >> 30355190

Neuroimaging Determinants of Poststroke Cognitive Performance.

Laurent Puy1, Mélanie Barbay1, Martine Roussel1, Sandrine Canaple1, Chantal Lamy1, Audrey Arnoux1, Claire Leclercq1, Jean-Louis Mas2, Sophie Tasseel-Ponche3, Jean-Marc Constans4, Olivier Godefroy1.   

Abstract

Background and Purpose- We aimed to define the neuroimaging determinants of poststroke cognitive performance and their relative contributions among a spectrum of magnetic resonance imaging markers, including lesion burden and strategic locations. Methods- We prospectively included patients with stroke from the GRECogVASC study (Groupe de Réflexion pour l'Évaluation Cognitive Vasculaire) who underwent 3-T magnetic resonance imaging and a comprehensive standardized battery of neuropsychological tests 6 months after the index event. An optimized global cognitive score and neuroimaging markers, including stroke characteristics, cerebral atrophy markers, and small vessel diseases markers, were assessed. Location of strategic strokes was determined using a specifically designed method taking into account stroke size and cerebral atrophy. A stepwise multivariable linear regression model was used to identify magnetic resonance imaging determinants of cognitive performance. Results- Data were available for 356 patients (mean age: 63.67±10.6 years; 326 [91.6%] of the patients had experienced an ischemic stroke). Six months poststroke, 50.8% of patients presented with a neurocognitive disorder. Strategic strokes (right corticospinal tract, left antero-middle thalamus, left arcuate fasciculus, left middle frontal gyrus, and left postero-inferior cerebellum; R2=0.225; P=0.0001), medial temporal lobe atrophy ( R2=0.077; P=0.0001), total brain tissue volume ( R2=0.028; P=0.004), and stroke volume ( R2=0.013; P=0.005) were independent determinants of cognitive performance. Strategic strokes accounted for the largest proportion of the variance in the cognitive score (22.5%). The white matter hyperintensity burden, brain microbleeds, and dilated perivascular spaces were not independent determinants. Conclusions- Optimized global cognitive score and combined approach of both quantitative measures related to structure loss and qualitative measures related to the presence of strategic lesion are required to improve the determination of structure-function relationship of cognitive performance after stroke.

Entities:  

Keywords:  atrophy; cognition; dementia; magnetic resonance imaging; stroke

Mesh:

Year:  2018        PMID: 30355190     DOI: 10.1161/STROKEAHA.118.021981

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  12 in total

1.  Altered brain activity in the bilateral frontal cortices and neural correlation with cognitive impairment in schizophrenia.

Authors:  Lingfang Yu; Lei Guo; Xinyu Fang; Fuyin Yang; Yan Chen; Yewei Wang; Dandan Wang; Zenan Wu; Ruimei Liu; Xing Tian; Chen Zhang
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Review 2.  Cognitive impairment in patients with cerebrovascular disease: A white paper from the links between stroke ESO Dementia Committee.

Authors:  Ana Verdelho; Joanna Wardlaw; Aleksandra Pavlovic; Leonardo Pantoni; Olivier Godefroy; Marco Duering; Andreas Charidimou; Hugues Chabriat; Geert Jan Biessels
Journal:  Eur Stroke J       Date:  2021-02-28

3.  Cognitive impairment after focal brain lesions is better predicted by damage to structural than functional network hubs.

Authors:  Justin Reber; Kai Hwang; Mark Bowren; Joel Bruss; Pratik Mukherjee; Daniel Tranel; Aaron D Boes
Journal:  Proc Natl Acad Sci U S A       Date:  2021-05-11       Impact factor: 12.779

4.  Identification of the presence of ischaemic stroke lesions by means of texture analysis on brain magnetic resonance images.

Authors:  Rafael Ortiz-Ramón; Maria Del C Valdés Hernández; Victor González-Castro; Stephen Makin; Paul A Armitage; Benjamin S Aribisala; Mark E Bastin; Ian J Deary; Joanna M Wardlaw; David Moratal
Journal:  Comput Med Imaging Graph       Date:  2019-03-16       Impact factor: 4.790

5.  Association between Striatal Brain Iron Deposition, Microbleeds and Cognition 1 Year After a Minor Ischaemic Stroke.

Authors:  Maria Del C Valdés Hernández; Tessa Case; Francesca M Chappell; Andreas Glatz; Stephen Makin; Fergus Doubal; Joanna M Wardlaw
Journal:  Int J Mol Sci       Date:  2019-03-14       Impact factor: 5.923

6.  Boundary and vulnerability estimation of the internal borderzone using ischemic stroke lesion mapping.

Authors:  Sylvain Grange; Rémi Grange; Pierre Garnier; Jérôme Varvat; Doina Marinescu; Fabrice-Guy Barral; Claire Boutet; Fabien C Schneider
Journal:  Sci Rep       Date:  2020-02-03       Impact factor: 4.379

7.  Clinically accessible neuroimaging predictors of post-stroke neurocognitive disorder: a prospective observational study.

Authors:  Till Schellhorn; Eva Birgitte Aamodt; Stian Lydersen; Stina Aam; Torgeir Bruun Wyller; Ingvild Saltvedt; Mona Kristiansen Beyer
Journal:  BMC Neurol       Date:  2021-02-25       Impact factor: 2.474

8.  Pre-stroke cognitive impairment is associated with vascular imaging pathology: a prospective observational study.

Authors:  Till Schellhorn; Manuela Zucknick; Torunn Askim; Ragnhild Munthe-Kaas; Hege Ihle-Hansen; Yngve M Seljeseth; Anne-Brita Knapskog; Halvor Næss; Hanne Ellekjær; Pernille Thingstad; Torgeir Bruun Wyller; Ingvild Saltvedt; Mona K Beyer
Journal:  BMC Geriatr       Date:  2021-06-14       Impact factor: 3.921

9.  Impaired cerebral autoregulation is associated with poststroke cognitive impairment.

Authors:  Nai-Fang Chi; Han-Hwa Hu; Lung Chan; Cheng-Yen Wang; Shu-Ping Chao; Li-Kai Huang; Hsiao-Lun Ku; Chaur-Jong Hu
Journal:  Ann Clin Transl Neurol       Date:  2020-05-28       Impact factor: 4.511

10.  Normal-sized basal ganglia perivascular space related to motor phenotype in Parkinson freezers.

Authors:  Wen Lv; Yumei Yue; Ting Shen; Xingyue Hu; Lili Chen; Fei Xie; Wenying Zhang; Baorong Zhang; Yaxing Gui; Hsin-Yi Lai; Fang Ba
Journal:  Aging (Albany NY)       Date:  2021-07-27       Impact factor: 5.682

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