matlab software matlab2021a Search Results


quarc essentials - individual license  (Quanser Consulting)
96
Quanser Consulting quarc essentials - individual license
Quarc Essentials Individual License, supplied by Quanser Consulting, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 96 stars, based on 1 article reviews
quarc essentials - individual license - by Bioz Stars, 2026-07
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matlab 2021a  (STATA Corporation)
99
STATA Corporation matlab 2021a
Matlab 2021a, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 99 stars, based on 1 article reviews
matlab 2021a - by Bioz Stars, 2026-07
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matlab2021b  (MathWorks Inc)
93
MathWorks Inc matlab2021b
Matlab2021b, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 93 stars, based on 1 article reviews
matlab2021b - by Bioz Stars, 2026-07
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originpro 9.0  (OriginLab corp)
90
OriginLab corp originpro 9.0
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Average 90 stars, based on 1 article reviews
originpro 9.0 - by Bioz Stars, 2026-07
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capstone software  (PASCO)
90
PASCO capstone software
Capstone Software, supplied by PASCO, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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capstone software - by Bioz Stars, 2026-07
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gurobi 9 5 1 solver  (Gurobi Optimization)
86
Gurobi Optimization gurobi 9 5 1 solver
Gurobi 9 5 1 Solver, supplied by Gurobi Optimization, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 86 stars, based on 1 article reviews
gurobi 9 5 1 solver - by Bioz Stars, 2026-07
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autonomous vehicles research studio  (Quanser Consulting)
95
Quanser Consulting autonomous vehicles research studio
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Average 95 stars, based on 1 article reviews
autonomous vehicles research studio - by Bioz Stars, 2026-07
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graphpad prism 8.0  (GraphPad Software Inc)
90
GraphPad Software Inc graphpad prism 8.0
Graphpad Prism 8.0, supplied by GraphPad Software Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
graphpad prism 8.0 - by Bioz Stars, 2026-07
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graphpad prism 8  (GraphPad Software Inc)
90
GraphPad Software Inc graphpad prism 8
Graphpad Prism 8, supplied by GraphPad Software Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
graphpad prism 8 - by Bioz Stars, 2026-07
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prism 9  (GraphPad Software Inc)
90
GraphPad Software Inc prism 9
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prism 9 - by Bioz Stars, 2026-07
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igor pro  (wavemetrics inc)
90
wavemetrics inc igor pro
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igor pro - by Bioz Stars, 2026-07
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computational anatomy toolbox cat12  (MathWorks Inc)
96
MathWorks Inc computational anatomy toolbox cat12
a , Voxel-based morphometry map indicating brain regions with reduced volume in patients with previous SARS-CoV-2 infection. b – e , Group-wise comparison of total brain volume ( P = 0.008 brain fog (+) versus control) ( b ), CSF volume ( P = 0.021 recovered versus control; P = 0.006 brain fog (+) versus control) ( c ), right WM volume ( P < 0.0001 recovered versus control; P = 0.00061 brain fog (+) versus control) ( d ) and left WM volume ( P = 0.00014 recovered versus control; P = 0.00098 brain fog (+) versus control) ( e ) in unaffected individuals, recovered individuals and individuals with long COVID and brain fog. Data were analyzed using an ANCOVA, adjusting for age, sex and total intracranial volume (TIV), with Bonferroni correction. f , Surface-based morphometry map indicating brain regions with reduced cortical thickness in patients with previous SARS-CoV-2 infection. g – j , Group-wise comparison of frontal pole thickness ( P = 0.003 recovered versus control; P = 0.002 brain fog (−) versus control; P = 0.001 brain fog (+) versus control) ( g ), superior frontal gyrus thickness ( P = 0.003 brain fog (−) versus control; P = 0.008 brain fog (+) versus control) ( h ), middle temporal gyrus ( P = 0.027 brain fog (+) versus control) ( i ) and superior temporal gyrus ( P = 0.00012 brain fog (+) versus control) ( j ) in the unaffected, recovered, long COVID and brain fog cohorts. Data were analyzed using an ANCOVA adjusting for age and sex with Bonferroni correction. Maps were generated with Computational Anatomy Toolbox <t>(CAT12)</t> running in the Statistical Parametric Mapping (SPM12) software on MATLAB 2021a. The violin plots show the median (solid line) and IQR (dashed lines). Cohorts were compared with an unpaired t -test, with a family-wise error of less than 0.05, adjusted for age, sex and TIV. Volumetric and thickness region of interest measurements were obtained from volBrain .
Computational Anatomy Toolbox Cat12, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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computational anatomy toolbox cat12 - by Bioz Stars, 2026-07
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Image Search Results


a , Voxel-based morphometry map indicating brain regions with reduced volume in patients with previous SARS-CoV-2 infection. b – e , Group-wise comparison of total brain volume ( P = 0.008 brain fog (+) versus control) ( b ), CSF volume ( P = 0.021 recovered versus control; P = 0.006 brain fog (+) versus control) ( c ), right WM volume ( P < 0.0001 recovered versus control; P = 0.00061 brain fog (+) versus control) ( d ) and left WM volume ( P = 0.00014 recovered versus control; P = 0.00098 brain fog (+) versus control) ( e ) in unaffected individuals, recovered individuals and individuals with long COVID and brain fog. Data were analyzed using an ANCOVA, adjusting for age, sex and total intracranial volume (TIV), with Bonferroni correction. f , Surface-based morphometry map indicating brain regions with reduced cortical thickness in patients with previous SARS-CoV-2 infection. g – j , Group-wise comparison of frontal pole thickness ( P = 0.003 recovered versus control; P = 0.002 brain fog (−) versus control; P = 0.001 brain fog (+) versus control) ( g ), superior frontal gyrus thickness ( P = 0.003 brain fog (−) versus control; P = 0.008 brain fog (+) versus control) ( h ), middle temporal gyrus ( P = 0.027 brain fog (+) versus control) ( i ) and superior temporal gyrus ( P = 0.00012 brain fog (+) versus control) ( j ) in the unaffected, recovered, long COVID and brain fog cohorts. Data were analyzed using an ANCOVA adjusting for age and sex with Bonferroni correction. Maps were generated with Computational Anatomy Toolbox (CAT12) running in the Statistical Parametric Mapping (SPM12) software on MATLAB 2021a. The violin plots show the median (solid line) and IQR (dashed lines). Cohorts were compared with an unpaired t -test, with a family-wise error of less than 0.05, adjusted for age, sex and TIV. Volumetric and thickness region of interest measurements were obtained from volBrain .

Journal: Nature Neuroscience

Article Title: Blood–brain barrier disruption and sustained systemic inflammation in individuals with long COVID-associated cognitive impairment

doi: 10.1038/s41593-024-01576-9

Figure Lengend Snippet: a , Voxel-based morphometry map indicating brain regions with reduced volume in patients with previous SARS-CoV-2 infection. b – e , Group-wise comparison of total brain volume ( P = 0.008 brain fog (+) versus control) ( b ), CSF volume ( P = 0.021 recovered versus control; P = 0.006 brain fog (+) versus control) ( c ), right WM volume ( P < 0.0001 recovered versus control; P = 0.00061 brain fog (+) versus control) ( d ) and left WM volume ( P = 0.00014 recovered versus control; P = 0.00098 brain fog (+) versus control) ( e ) in unaffected individuals, recovered individuals and individuals with long COVID and brain fog. Data were analyzed using an ANCOVA, adjusting for age, sex and total intracranial volume (TIV), with Bonferroni correction. f , Surface-based morphometry map indicating brain regions with reduced cortical thickness in patients with previous SARS-CoV-2 infection. g – j , Group-wise comparison of frontal pole thickness ( P = 0.003 recovered versus control; P = 0.002 brain fog (−) versus control; P = 0.001 brain fog (+) versus control) ( g ), superior frontal gyrus thickness ( P = 0.003 brain fog (−) versus control; P = 0.008 brain fog (+) versus control) ( h ), middle temporal gyrus ( P = 0.027 brain fog (+) versus control) ( i ) and superior temporal gyrus ( P = 0.00012 brain fog (+) versus control) ( j ) in the unaffected, recovered, long COVID and brain fog cohorts. Data were analyzed using an ANCOVA adjusting for age and sex with Bonferroni correction. Maps were generated with Computational Anatomy Toolbox (CAT12) running in the Statistical Parametric Mapping (SPM12) software on MATLAB 2021a. The violin plots show the median (solid line) and IQR (dashed lines). Cohorts were compared with an unpaired t -test, with a family-wise error of less than 0.05, adjusted for age, sex and TIV. Volumetric and thickness region of interest measurements were obtained from volBrain .

Article Snippet: Maps were generated with Computational Anatomy Toolbox (CAT12) running in the Statistical Parametric Mapping (SPM12) software on MATLAB 2021a.

Techniques: Infection, Comparison, Control, Generated, Software