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(A) Path diagram showing the mediation analyses that were performed to understand the influence of age on cognition through reductions in brain volume. Age was used as the predictor, either total MoCA score or one of six subscores were used as the outcome variable, and regional brain volume across 189 regions was used as the mediator in a robust ordinary least squares mediation model. Path a assesses the effect of age on brain volume. Path b assesses the effect of ROI‐wise brain volume on MoCA scores after controlling for age. Path c assesses the direct effect of age on MoCA. Path c' assesses the effect of age on MoCA after controlling for the mediator. Path ab assesses the indirect effect of age on MoCA through brain volume. (B) <t>Graphical</t> <t>User</t> <t>Interface</t> <t>(GUI)</t> is displayed which enables user‐friendly way of performing ROI‐based whole‐brain mediation analysis by entering behavioral data and preprocessed brain scans. As illustrated on the right, the results can be automatically visualized on brain figures by adjusting the GUI settings accordingly.
Gui, 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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(A) Path diagram showing the mediation analyses that were performed to understand the influence of age on cognition through reductions in brain volume. Age was used as the predictor, either total MoCA score or one of six subscores were used as the outcome variable, and regional brain volume across 189 regions was used as the mediator in a robust ordinary least squares mediation model. Path a assesses the effect of age on brain volume. Path b assesses the effect of ROI‐wise brain volume on MoCA scores after controlling for age. Path c assesses the direct effect of age on MoCA. Path c' assesses the effect of age on MoCA after controlling for the mediator. Path ab assesses the indirect effect of age on MoCA through brain volume. (B) <t>Graphical</t> <t>User</t> <t>Interface</t> <t>(GUI)</t> is displayed which enables user‐friendly way of performing ROI‐based whole‐brain mediation analysis by entering behavioral data and preprocessed brain scans. As illustrated on the right, the results can be automatically visualized on brain figures by adjusting the GUI settings accordingly.
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(A) Path diagram showing the mediation analyses that were performed to understand the influence of age on cognition through reductions in brain volume. Age was used as the predictor, either total MoCA score or one of six subscores were used as the outcome variable, and regional brain volume across 189 regions was used as the mediator in a robust ordinary least squares mediation model. Path a assesses the effect of age on brain volume. Path b assesses the effect of ROI‐wise brain volume on MoCA scores after controlling for age. Path c assesses the direct effect of age on MoCA. Path c' assesses the effect of age on MoCA after controlling for the mediator. Path ab assesses the indirect effect of age on MoCA through brain volume. (B) <t>Graphical</t> <t>User</t> <t>Interface</t> <t>(GUI)</t> is displayed which enables user‐friendly way of performing ROI‐based whole‐brain mediation analysis by entering behavioral data and preprocessed brain scans. As illustrated on the right, the results can be automatically visualized on brain figures by adjusting the GUI settings accordingly.
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(A) Path diagram showing the mediation analyses that were performed to understand the influence of age on cognition through reductions in brain volume. Age was used as the predictor, either total MoCA score or one of six subscores were used as the outcome variable, and regional brain volume across 189 regions was used as the mediator in a robust ordinary least squares mediation model. Path a assesses the effect of age on brain volume. Path b assesses the effect of ROI‐wise brain volume on MoCA scores after controlling for age. Path c assesses the direct effect of age on MoCA. Path c' assesses the effect of age on MoCA after controlling for the mediator. Path ab assesses the indirect effect of age on MoCA through brain volume. (B) <t>Graphical</t> <t>User</t> <t>Interface</t> <t>(GUI)</t> is displayed which enables user‐friendly way of performing ROI‐based whole‐brain mediation analysis by entering behavioral data and preprocessed brain scans. As illustrated on the right, the results can be automatically visualized on brain figures by adjusting the GUI settings accordingly.
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(A) Path diagram showing the mediation analyses that were performed to understand the influence of age on cognition through reductions in brain volume. Age was used as the predictor, either total MoCA score or one of six subscores were used as the outcome variable, and regional brain volume across 189 regions was used as the mediator in a robust ordinary least squares mediation model. Path a assesses the effect of age on brain volume. Path b assesses the effect of ROI‐wise brain volume on MoCA scores after controlling for age. Path c assesses the direct effect of age on MoCA. Path c' assesses the effect of age on MoCA after controlling for the mediator. Path ab assesses the indirect effect of age on MoCA through brain volume. (B) <t>Graphical</t> <t>User</t> <t>Interface</t> <t>(GUI)</t> is displayed which enables user‐friendly way of performing ROI‐based whole‐brain mediation analysis by entering behavioral data and preprocessed brain scans. As illustrated on the right, the results can be automatically visualized on brain figures by adjusting the GUI settings accordingly.
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(A) Path diagram showing the mediation analyses that were performed to understand the influence of age on cognition through reductions in brain volume. Age was used as the predictor, either total MoCA score or one of six subscores were used as the outcome variable, and regional brain volume across 189 regions was used as the mediator in a robust ordinary least squares mediation model. Path a assesses the effect of age on brain volume. Path b assesses the effect of ROI‐wise brain volume on MoCA scores after controlling for age. Path c assesses the direct effect of age on MoCA. Path c' assesses the effect of age on MoCA after controlling for the mediator. Path ab assesses the indirect effect of age on MoCA through brain volume. (B) <t>Graphical</t> <t>User</t> <t>Interface</t> <t>(GUI)</t> is displayed which enables user‐friendly way of performing ROI‐based whole‐brain mediation analysis by entering behavioral data and preprocessed brain scans. As illustrated on the right, the results can be automatically visualized on brain figures by adjusting the GUI settings accordingly.
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(A) Path diagram showing the mediation analyses that were performed to understand the influence of age on cognition through reductions in brain volume. Age was used as the predictor, either total MoCA score or one of six subscores were used as the outcome variable, and regional brain volume across 189 regions was used as the mediator in a robust ordinary least squares mediation model. Path a assesses the effect of age on brain volume. Path b assesses the effect of ROI‐wise brain volume on MoCA scores after controlling for age. Path c assesses the direct effect of age on MoCA. Path c' assesses the effect of age on MoCA after controlling for the mediator. Path ab assesses the indirect effect of age on MoCA through brain volume. (B) <t>Graphical</t> <t>User</t> <t>Interface</t> <t>(GUI)</t> is displayed which enables user‐friendly way of performing ROI‐based whole‐brain mediation analysis by entering behavioral data and preprocessed brain scans. As illustrated on the right, the results can be automatically visualized on brain figures by adjusting the GUI settings accordingly.
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(A) Path diagram showing the mediation analyses that were performed to understand the influence of age on cognition through reductions in brain volume. Age was used as the predictor, either total MoCA score or one of six subscores were used as the outcome variable, and regional brain volume across 189 regions was used as the mediator in a robust ordinary least squares mediation model. Path a assesses the effect of age on brain volume. Path b assesses the effect of ROI‐wise brain volume on MoCA scores after controlling for age. Path c assesses the direct effect of age on MoCA. Path c' assesses the effect of age on MoCA after controlling for the mediator. Path ab assesses the indirect effect of age on MoCA through brain volume. (B) <t>Graphical</t> <t>User</t> <t>Interface</t> <t>(GUI)</t> is displayed which enables user‐friendly way of performing ROI‐based whole‐brain mediation analysis by entering behavioral data and preprocessed brain scans. As illustrated on the right, the results can be automatically visualized on brain figures by adjusting the GUI settings accordingly.
Toolbox Pivlab Gui Thielicke, 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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(A) Path diagram showing the mediation analyses that were performed to understand the influence of age on cognition through reductions in brain volume. Age was used as the predictor, either total MoCA score or one of six subscores were used as the outcome variable, and regional brain volume across 189 regions was used as the mediator in a robust ordinary least squares mediation model. Path a assesses the effect of age on brain volume. Path b assesses the effect of ROI‐wise brain volume on MoCA scores after controlling for age. Path c assesses the direct effect of age on MoCA. Path c' assesses the effect of age on MoCA after controlling for the mediator. Path ab assesses the indirect effect of age on MoCA through brain volume. (B) Graphical User Interface (GUI) is displayed which enables user‐friendly way of performing ROI‐based whole‐brain mediation analysis by entering behavioral data and preprocessed brain scans. As illustrated on the right, the results can be automatically visualized on brain figures by adjusting the GUI settings accordingly.

Journal: Human Brain Mapping

Article Title: The Influence of Structural Brain Changes on Cognition in the Context of Healthy Aging: Exploring Mediation Effects Through gBAT —The Graphical Brain Association Tool

doi: 10.1002/hbm.70038

Figure Lengend Snippet: (A) Path diagram showing the mediation analyses that were performed to understand the influence of age on cognition through reductions in brain volume. Age was used as the predictor, either total MoCA score or one of six subscores were used as the outcome variable, and regional brain volume across 189 regions was used as the mediator in a robust ordinary least squares mediation model. Path a assesses the effect of age on brain volume. Path b assesses the effect of ROI‐wise brain volume on MoCA scores after controlling for age. Path c assesses the direct effect of age on MoCA. Path c' assesses the effect of age on MoCA after controlling for the mediator. Path ab assesses the indirect effect of age on MoCA through brain volume. (B) Graphical User Interface (GUI) is displayed which enables user‐friendly way of performing ROI‐based whole‐brain mediation analysis by entering behavioral data and preprocessed brain scans. As illustrated on the right, the results can be automatically visualized on brain figures by adjusting the GUI settings accordingly.

Article Snippet: The GUI leverages MATLAB's Image Processing Toolbox for efficient loading and processing of neuroimaging data.

Techniques: