Test–retest reliability of pain location using three different body chart grids: a study on healthy volunteers

BACKGROUND Digital biomarkers (DB) as captured using sensors embedded in modern smart devices are a promising technology for home-based symptom monitoring in Parkinson’s disease (PD). Despite extensive application in recent studies test-retest reliability and longitudinal stability of DB has not been well addressed in this context. OBJECTIVE We utilized the large-scale m-Power dataset to establish the test-retest reliability and longitudinal stability of gait, balance, voice and tapping tasks in an unsupervised and self-administered daily life setting in PD patients and healthy volunteers. METHODS Intraclass Correlation Coefficients (ICC) were computed to estimate the test-retest reliability of features that also differentiate between PD and healthy volunteers. In addition, we tested for longitudinal stability of DB measures in PD and HC as well as for their sensitivity to PD medication effects. RESULTS Among the features differing between PD and HC, only few tapping and voice features had good to excellent test-retest reliabilities and medium to large effect sizes. All other features performed poorly in this respect. Only few features were sensitive to medication effects. The longitudinal analyses revealed significant alterations over time across a variety of features and in particular for the tapping task. CONCLUSIONS These results indicate the need for further development of more standardized, sensitive and reliable DB for application in self-administered remote studies in PD patients. Motivational, learning and other confounds may cause a variation in performance that needs to be considered in DB longitudinal applications. CLINICALTRIAL Not applicable

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Test–retest reliability of the BOLD pharmacological MRI response to ketamine in healthy volunteers

NeuroImage ◽

10.1016/j.neuroimage.2012.09.037 ◽

2013 ◽

Vol 64 ◽

pp. 75-90 ◽

Cited By ~ 74

Author(s):

S. De Simoni ◽

A.J. Schwarz ◽

O.G. O'Daly ◽

A.F. Marquand ◽

C. Brittain ◽

...

Keyword(s):

Healthy Volunteers ◽

Retest Reliability ◽

Pharmacological Mri ◽

Test Retest Reliability

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Amygdalar nuclei and hippocampal subfields on MRI: Test‐retest reliability of automated segmentation in old and young healthy volunteers

Alzheimer s & Dementia ◽

10.1002/alz.040322 ◽

2020 ◽

Vol 16 (S5) ◽

Author(s):

Giulia Quattrini ◽

Michela Pievani ◽

Jorge Jovicich ◽

Marco Aiello ◽

Nuria Bargalló ◽

...

Keyword(s):

Healthy Volunteers ◽

Automated Segmentation ◽

Retest Reliability ◽

Hippocampal Subfields ◽

Test Retest Reliability

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Test–retest reliability of DSC MRI CBV mapping in healthy volunteers

Neuroreport ◽

10.1097/00001756-200106130-00011 ◽

2001 ◽

Vol 12 (8) ◽

pp. 1567-1569 ◽

Cited By ~ 16

Author(s):

Michael E. Henry ◽

Marc J. Kaufman ◽

Nicholas Lange ◽

Mark E. Schmidt ◽

Seth Purcell ◽

...

Keyword(s):

Healthy Volunteers ◽

Retest Reliability ◽

Dsc Mri ◽

Test Retest Reliability

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Exploring test retest reliability and longitudinal stability of digital biomarkers for Parkinson’s disease in the m-Power dataset

10.1101/2020.12.16.20247122 ◽

2020 ◽

Author(s):

Mehran Sahandi Far ◽

Simon B. Eickhoff ◽

María Goñi ◽

Juergen Dukart

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Healthy Volunteers ◽

Intraclass Correlation ◽

Smart Devices ◽

Longitudinal Stability ◽

Retest Reliability ◽

Medication Effects ◽

Test Retest Reliability ◽

Digital Biomarkers

AbstractBackgroundDigital biomarkers (DB) as captured using sensors embedded in modern smart devices are a promising technology for home-based symptom monitoring in Parkinson’s disease (PD).ObjectiveDespite extensive application in recent studies test-retest reliability and longitudinal stability of DB has not been well addressed in this context. We utilized the large-scale m-Power dataset to establish the test-retest reliability and longitudinal stability of gait, balance, voice and tapping tasks in an unsupervised and self-administered daily life setting in PD patients and healthy volunteers.MethodsIntraclass Correlation Coefficients (ICC) were computed to estimate the test-retest reliability of features that also differentiate between PD and healthy volunteers. In addition, we tested for longitudinal stability of DB measures in PD and HC as well as for their sensitivity to PD medication effects.ResultsAmong the features differing between PD and HC, only few tapping and voice features had good to excellent test-retest reliabilities and medium to large effect sizes. All other features performed poorly in this respect. Only few features were sensitive to medication effects. The longitudinal analyses revealed significant alterations over time across a variety of features and in particular for the tapping task.ConclusionsThese results indicate the need for further development of more standardized, sensitive and reliable DB for application in self-administered remote studies in PD patients. Motivational, learning and other confounds may cause a variation in performance that needs to be considered in DB longitudinal applications.

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Validation and Test-Retest Reliability of New Thermographic Technique Called Thermovision Technique of Dry Needling for Gluteus Minimus Trigger Points in Sciatica Subjects and TrPs-Negative Healthy Volunteers

BioMed Research International ◽

10.1155/2015/546497 ◽

2015 ◽

Vol 2015 ◽

pp. 1-11 ◽

Cited By ~ 5

Author(s):

Elżbieta Skorupska ◽

Michał Rychlik ◽

Włodzimierz Samborski

Keyword(s):

Healthy Volunteers ◽

Diagnostic Criteria ◽

Trigger Points ◽

Referred Pain ◽

Maximum Temperature ◽

Dry Needling ◽

Retest Reliability ◽

Gluteus Minimus ◽

Test Retest Reliability ◽

Gluteus Minimus Muscle

The aim of this study was to assess the validity and test-retest reliability of Thermovision Technique of Dry Needling (TTDN) for the gluteus minimus muscle. TTDN is a new thermography approach used to support trigger points (TrPs) diagnostic criteria by presence of short-term vasomotor reactions occurring in the area where TrPs refer pain.Method. Thirty chronic sciatica patients (n=15TrP-positive andn=15TrPs-negative) and 15 healthy volunteers were evaluated by TTDN three times during two consecutive days based on TrPs of the gluteus minimus muscle confirmed additionally by referred pain presence. TTDN employs average temperature (Tavr), maximum temperature (Tmax), low/high isothermal-area, and autonomic referred pain phenomenon (AURP) that reflects vasodilatation/vasoconstriction. Validity and test-retest reliability were assessed concurrently.Results. Two components of TTDN validity and reliability,Tavrand AURP, had almost perfect agreement according toκ(e.g., thigh: 0.880 and 0.938; calf: 0.902 and 0.956, resp.). The sensitivity forTavr,Tmax, AURP, and high isothermal-area was 100% for everyone, but specificity of 100% was forTavrand AURP only.Conclusion. TTDN is a valid and reliable method forTavrand AURP measurement to support TrPs diagnostic criteria for the gluteus minimus muscle when digitally evoked referred pain pattern is present.

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