scholarly journals Test–retest reliability and long‐term stability of three‐tissue constrained spherical deconvolution methods for analyzing diffusion MRI data

2020 ◽  
Vol 84 (4) ◽  
pp. 2161-2173
Author(s):  
Benjamin T. Newman ◽  
Thijs Dhollander ◽  
Kristen A. Reynier ◽  
Matthew B. Panzer ◽  
T. Jason Druzgal
Keyword(s):  
Diffusion Mri ◽  
Retest Reliability ◽  
Term Stability ◽  
Long Term Stability ◽  
Constrained Spherical Deconvolution ◽  
Spherical Deconvolution ◽  
Test Retest Reliability

scholarly journals Validity, Test-Retest Reliability and Long-Term Stability of Magnetometer Free Inertial Sensor Based 3D Joint Kinematics

Sensors ◽  
2018 ◽  
Vol 18 (7) ◽  
pp. 1980 ◽  
Author(s):  
Wolfgang Teufl ◽  
Markus Miezal ◽  
Bertram Taetz ◽  
Michael Fröhlich ◽  
Gabriele Bleser
Keyword(s):  
Inertial Sensor ◽  
Joint Kinematics ◽  
Retest Reliability ◽  
Validity Test ◽  
Term Stability ◽  
Long Term Stability ◽  
Test Retest Reliability

scholarly journals Test-retest reliability and long-term stability of 3-tissue constrained spherical deconvolution methods for analyzing diffusion MRI data

2019 ◽  
Author(s):  
Benjamin T. Newman ◽  
Thijs Dhollander ◽  
Kristen A. Reynier ◽  
Matthew B. Panzer ◽  
T. Jason Druzgal
Keyword(s):  
White Matter ◽  
Grey Matter ◽  
Tissue Microstructure ◽  
Term Stability ◽  
Long Term Stability ◽  
Constrained Spherical Deconvolution ◽  
Spherical Deconvolution ◽  
Brain Microstructure ◽  
Tissue Compartments

AbstractPurposeSeveral recent studies have utilized a 3-tissue constrained spherical deconvolution pipeline to obtain quantitative metrics of brain tissue microstructure from diffusion-weighted MRI data. The three tissue compartments, comprising white matter-, grey matter-, and CSF-like (free water) signals, are potentially useful in the evaluation of brain microstructure in a range of pathologies. However, the reliability and long-term stability of these metrics has not yet been evaluated.MethodsThis study examined estimates of whole brain microstructure for the three tissue compartments, in three separate test-retest cohorts. Each cohort has different lengths of time between baseline and retest, ranging from within the same scanning session in the shortest interval to three months in the longest interval. Each cohort was also collected with different acquisition parameters.ResultsThe CSF-like compartment displayed the greatest reliability across all cohorts, with intraclass correlation coefficient (ICC) values being above 0.95 in each cohort. White matter-like and grey matter-like compartments both demonstrated very high reliability in the immediate cohort (both ICC>0.90), however this declined in the 3 month interval cohort to both compartments having ICC>0.80. Regional CSF-like signal fraction was examined in bilateral hippocampus and had an ICC>0.80 in each cohort.ConclusionThe 3-tissue CSD techniques provide reliable and stable estimates of tissue microstructure composition, up to 3 months longitudinally in a control population. This forms an important basis for further investigations utilizing 3-tissue CSD techniques to track changes in microstructure across a variety of brain pathologies.

Measuring Service Learning Outcomes: Test-Retest Reliability of Four Scales

2010 ◽  
Vol 107 (2) ◽  
pp. 611-616 ◽  
Author(s):  
James E. Weber ◽  
Paula S. Weber ◽  
Margaret A. Young
Keyword(s):  
Service Learning ◽  
Learning Outcomes ◽  
Civic Participation ◽  
Social Issues ◽  
Retest Reliability ◽  
Term Stability ◽  
Long Term Stability ◽  
Helping Others ◽  
Test Retest Reliability

Previous research efforts have developed and validated various scales potentially useful in evaluating service learning outcomes. The developmental efforts reported for the four scales examined in this study did not include the test-retest reliabilities that would provide assurance to service learning researchers of the long-term stability and therefore usefulness of these measures. Summary estimates of 13-wk. test-retest reliabilities for the scales Civic Participation, Self-efficacy Toward Service, Attitude Toward Helping Others, and College Education's Role in Addressing Social Issues provide service learning researchers with evidence of stability of the scales over the typical duration of service learning courses.

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