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{"title"=>"Impaired Cerebral Autoregulation Is Associated with Brain Atrophy and Worse Functional Status in Chronic Ischemic Stroke", "type"=>"journal", "authors"=>[{"first_name"=>"Mikio C.", "last_name"=>"Aoi"}, {"first_name"=>"Kun", "last_name"=>"Hu"}, {"first_name"=>"Men-Tzung", "last_name"=>"Lo"}, {"first_name"=>"Magdy", "last_name"=>"Selim"}, {"first_name"=>"Mette S.", "last_name"=>"Olufsen"}, {"first_name"=>"Vera", "last_name"=>"Novak"}], "year"=>2012, "source"=>"PLoS ONE", "identifiers"=>{"isbn"=>"1932-6203", "issn"=>"1932-6203", "doi"=>"10.1371/journal.pone.0046794", "pmid"=>"23071639"}, "id"=>"6a00679c-5b73-3bd9-80a9-de718f6fb369", "abstract"=>"Dynamic cerebral autoregulation (dCA) is impaired following stroke. However, the relationship between dCA, brain atrophy, and functional outcomes following stroke remains unclear. In this study, we aimed to determine whether impairment of dCA is associated with atrophy in specific regions or globally, thereby affecting daily functions in stroke patients.We performed a retrospective analysis of 33 subjects with chronic infarctions in the middle cerebral artery territory, and 109 age-matched non-stroke subjects. dCA was assessed via the phase relationship between arterial blood pressure and cerebral blood flow velocity. Brain tissue volumes were quantified from MRI. Functional status was assessed by gait speed, instrumental activities of daily living (IADL), modified Rankin Scale, and NIH Stroke Score.Compared to the non-stroke group, stroke subjects showed degraded dCA bilaterally, and showed gray matter atrophy in the frontal, parietal and temporal lobes ipsilateral to infarct. In stroke subjects, better dCA was associated with less temporal lobe gray matter atrophy on the infracted side ([Formula: see text] = 0.029), faster gait speed ([Formula: see text] = 0.018) and lower IADL score ([Formula: see text]0.002). Our results indicate that better dynamic cerebral perfusion regulation is associated with less atrophy and better long-term functional status in older adults with chronic ischemic infarctions.", "link"=>"http://www.mendeley.com/research/impaired-cerebral-autoregulation-associated-brain-atrophy-worse-functional-status-chronic-ischemic-s", "reader_count"=>35, "reader_count_by_academic_status"=>{"Professor > Associate Professor"=>2, "Researcher"=>5, "Student > Doctoral Student"=>3, "Student > Ph. D. Student"=>13, "Student > Postgraduate"=>2, "Student > Master"=>5, "Other"=>1, "Student > Bachelor"=>1, "Lecturer"=>2, "Professor"=>1}, "reader_count_by_user_role"=>{"Professor > Associate Professor"=>2, "Researcher"=>5, "Student > Doctoral Student"=>3, "Student > Ph. D. Student"=>13, "Student > Postgraduate"=>2, "Student > Master"=>5, "Other"=>1, "Student > Bachelor"=>1, "Lecturer"=>2, "Professor"=>1}, "reader_count_by_subject_area"=>{"Engineering"=>8, "Unspecified"=>1, "Mathematics"=>3, "Medicine and Dentistry"=>13, "Agricultural and Biological Sciences"=>4, "Neuroscience"=>2, "Pharmacology, Toxicology and Pharmaceutical Science"=>1, "Physics and Astronomy"=>1, "Psychology"=>2}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>8}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>13}, "Neuroscience"=>{"Neuroscience"=>2}, "Physics and Astronomy"=>{"Physics and Astronomy"=>1}, "Psychology"=>{"Psychology"=>2}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>4}, "Mathematics"=>{"Mathematics"=>3}, "Unspecified"=>{"Unspecified"=>1}, "Pharmacology, Toxicology and Pharmaceutical Science"=>{"Pharmacology, Toxicology and Pharmaceutical Science"=>1}}, "reader_count_by_country"=>{"United States"=>1, "Germany"=>1}, "group_count"=>1}

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• http://doi.org/10.1093/bja/aet122
• http://doi.org/10.1371/journal.pone.0213319
• http://doi.org/10.1007/s00234-015-1593-6
• http://doi.org/10.14814/phy2.14212
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• http://doi.org/10.1002/jnr.24525
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• http://doi.org/10.1002/brb3.171
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• http://doi.org/10.1016/j.jtbi.2016.01.009
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• http://doi.org/10.1080/01616412.2018.1457130
• http://doi.org/10.1016/j.clinph.2018.09.019
• http://doi.org/10.1007/s00234-015-1522-8
• http://doi.org/10.1063/1.5134868
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• http://doi.org/10.1371/journal.pone.0241248
• http://doi.org/10.1016/j.wneu.2017.02.105
• http://doi.org/10.1016/j.nicl.2017.04.014

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• {"files"=>["https://ndownloader.figshare.com/files/560428"], "description"=>"<p><b>A</b>: the residuals from least squares regression of age, BMI, mean BP, sex and infarct volume for stroke side of the stroke group, on gait speed plotted against stroke-side blood pressure-blood flow velocity (BP-BFV) phase difference. Cyan lines indicates least squares regression for BP-BFV phase difference on gait speed residuals in stroke subjects and 95% prediction interval. <b>B</b>: BP-BFV phase difference for stroke and non-stroke subjects as a function of score on the instrumental activities of daily living (IADL) survey. Error bars indicate standard error.</p>", "links"=>[], "tags"=>["neurological disorders", "radiology and medical imaging"], "article_id"=>230921, "categories"=>["Cell Biology", "Neuroscience"], "users"=>["Mikio C. Aoi", "Kun Hu", "Men-Tzung Lo", "Magdy Selim", "Mette S. Olufsen", "Vera Novak"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0046794.g002", "stats"=>{"downloads"=>0, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Effect_of_on_functional_status_/230921", "title"=>"Effect of on functional status.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-19 21:52:30"}
• {"files"=>["https://ndownloader.figshare.com/files/560539"], "description"=>"<p>Gray matter (GM) and white matter (WM) volumes for stroke (S) and non-stroke (NS) groups by side. Values are meanSE.</p>*<p>indicates values are significantly different from stroke side of stroke group by Wilcoxon signed-rank test, with false discovery rate of 0.05.</p>", "links"=>[], "tags"=>["volumes"], "article_id"=>231034, "categories"=>["Cell Biology", "Neuroscience"], "users"=>["Mikio C. Aoi", "Kun Hu", "Men-Tzung Lo", "Magdy Selim", "Mette S. Olufsen", "Vera Novak"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0046794.t002", "stats"=>{"downloads"=>0, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Brain_volumes_by_region_and_side_/231034", "title"=>"Brain volumes by region and side.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-19 21:53:09"}
• {"files"=>["https://ndownloader.figshare.com/files/560570"], "description"=>"<p>Regression on temporal lobe grey matter (TGM), gait speed (Gait), instrumental activities of daily living survey (IADL). Estimates were calculated with regression equations controlling for age, BMI, mean arterial pressure, sex, and infarct volume. The tests for IADL correspond to lack of fit, and likelihood ratio tests.</p>", "links"=>[], "tags"=>["neurological disorders", "radiology and medical imaging"], "article_id"=>231061, "categories"=>["Cell Biology", "Neuroscience"], "users"=>["Mikio C. Aoi", "Kun Hu", "Men-Tzung Lo", "Magdy Selim", "Mette S. Olufsen", "Vera Novak"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0046794.t003", "stats"=>{"downloads"=>2, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Least_squares_results_for_model_fit_and_effect_tests_for_/231061", "title"=>"Least-squares results for model fit, and effect tests for .", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-19 21:53:20"}
• {"files"=>["https://ndownloader.figshare.com/files/560332"], "description"=>"<p>Residuals of least squares regression on relative temporal lobe gray matter (GM) volume against BP-BFV phase difference (). Regression included age, BMI, mean BP, sex and infarct volume for stroke side of the stroke group plotted against blood pressure-blood flow velocity (BP-BFV) phase difference for stroke (<b>A</b>) and non-stroke (<b>B</b>) sides. Cyan lines indicate least squares regression line for BP-BFV phase difference on temporal GM residuals in stroke subjects, and 95% prediction interval.</p>", "links"=>[], "tags"=>["temporal", "lobe"], "article_id"=>230822, "categories"=>["Cell Biology", "Neuroscience"], "users"=>["Mikio C. Aoi", "Kun Hu", "Men-Tzung Lo", "Magdy Selim", "Mette S. Olufsen", "Vera Novak"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0046794.g001", "stats"=>{"downloads"=>0, "page_views"=>1, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Effect_of_on_temporal_lobe_gray_matter_volume_/230822", "title"=>"Effect of on temporal lobe gray matter volume.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-19 21:51:56"}
• {"files"=>["https://ndownloader.figshare.com/files/560641"], "description"=>"<p>Theil-Sen estimates for regressions with , temporal lobe gray matter volume (TGM), and gait speed (Gait) for stroke subjects. Estimates were calculated with regression equations controlling for age, BMI, mean arterial pressure, sex, and infarct volume.</p>*<p>indicates results without controlling for infarct volume.</p>", "links"=>[], "tags"=>["regression", "bootstrap"], "article_id"=>231139, "categories"=>["Cell Biology", "Neuroscience"], "users"=>["Mikio C. Aoi", "Kun Hu", "Men-Tzung Lo", "Magdy Selim", "Mette S. Olufsen", "Vera Novak"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0046794.t004", "stats"=>{"downloads"=>1, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Robust_regression_bootstrap_estimates_/231139", "title"=>"Robust regression bootstrap estimates.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-19 21:53:41"}
• {"files"=>["https://ndownloader.figshare.com/files/560596"], "description"=>"<p>Values are mean SE or number of subjects.</p>*<p>indicates stroke and control groups are significantly different after controlling for false discovery rate. Abbreviations: W = white; A = Asian; AI = American Indian; AA = African American; U = unknown; R/L = right/left; M/F = male/female; IADL = instrumental activities of daily living; mRS = modified Rankin scale; BP = blood pressure; BFV = blood flow velocity;  = BP-BFV phase difference; CO₂R = CO₂ reactivity; MCA = middle cerebral artery diameter; ICA = internal carotid artery diameter; ICV = intracranial volume; SS/RND1 = Stroke side; NS/RND2 = non-stroke side; LDL = Low density lipoprotein.</p>", "links"=>[], "tags"=>["neurological disorders", "radiology and medical imaging"], "article_id"=>231091, "categories"=>["Cell Biology", "Neuroscience"], "users"=>["Mikio C. Aoi", "Kun Hu", "Men-Tzung Lo", "Magdy Selim", "Mette S. Olufsen", "Vera Novak"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0046794.t001", "stats"=>{"downloads"=>0, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Demographic_and_group_summary_statistics_/231091", "title"=>"Demographic and group summary statistics.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-19 21:53:31"}

PMC Usage Stats | Further Information

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Relative Metric

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F1000Prime