In the recent years, a wide variety of measurement tools have been developed for assessing motor and non-motor manifestations of Parkinson’s disease (PD). Rater-based interviews and patient self-assessments provide an approximation to subjective and non-observable aspects of PD. They are simple and easy to use and, thus, widely applied in clinical practice and research. There are other objective, technology-based techniques for capturing the physical characteristics of PD. Digital devices such as sensors and wearables, based on mobile or residential technology, can remotely assess aspects of PD such as intensity and frequency of tremor and some non-motor manifestations such as sleep disorders. Digital devices are currently used as clinical endpoints in clinical trials and to measure outcomes in intervention and rehabilitation studies.
The goal of this Research Topic is to offer a review on the recent advances in subjective and objective measurement tools for clinical assessment, characterisation and neurorehabilitation of PD. Aspects covered will include the validation or the review of the psychometric properties of rating scales and questionnaires, development of digital solutions addressed to clinically assess and characterise PD, validation of digital endpoints for PD, studies on the application of rating scales and questionnaires and digital devices to the rehabilitation of PD patients, and digitalization of rating scales.
We welcome the submission of original research as well as review articles, covering but not limited to, the following themes:
• Methodological studies on the psychometric properties of rating scales and questionnaires for clinical assessment, characterization and neurorehabilitation of PD.
• Validation of digital endpoints for clinical assessment, characterization and neurorehabilitation of PD.
• New developments and application of subjective and objective tools.
• Studies about the responsiveness and interpretation of change (either as a consequence of time or intervention/treatment) of measurement tools used in clinical assessment, characterization and neurorehabilitation of PD.
Conflict of Interests Declaration:
Dr. Carmen Rodriguez-Blazquez received support from AbbVie for attending two scientific congresses. Prof. Mayela Rodriguez-Violante received honorariums from Medtronic and Everneuropharma.
In the recent years, a wide variety of measurement tools have been developed for assessing motor and non-motor manifestations of Parkinson’s disease (PD). Rater-based interviews and patient self-assessments provide an approximation to subjective and non-observable aspects of PD. They are simple and easy to use and, thus, widely applied in clinical practice and research. There are other objective, technology-based techniques for capturing the physical characteristics of PD. Digital devices such as sensors and wearables, based on mobile or residential technology, can remotely assess aspects of PD such as intensity and frequency of tremor and some non-motor manifestations such as sleep disorders. Digital devices are currently used as clinical endpoints in clinical trials and to measure outcomes in intervention and rehabilitation studies.
The goal of this Research Topic is to offer a review on the recent advances in subjective and objective measurement tools for clinical assessment, characterisation and neurorehabilitation of PD. Aspects covered will include the validation or the review of the psychometric properties of rating scales and questionnaires, development of digital solutions addressed to clinically assess and characterise PD, validation of digital endpoints for PD, studies on the application of rating scales and questionnaires and digital devices to the rehabilitation of PD patients, and digitalization of rating scales.
We welcome the submission of original research as well as review articles, covering but not limited to, the following themes:
• Methodological studies on the psychometric properties of rating scales and questionnaires for clinical assessment, characterization and neurorehabilitation of PD.
• Validation of digital endpoints for clinical assessment, characterization and neurorehabilitation of PD.
• New developments and application of subjective and objective tools.
• Studies about the responsiveness and interpretation of change (either as a consequence of time or intervention/treatment) of measurement tools used in clinical assessment, characterization and neurorehabilitation of PD.
Conflict of Interests Declaration:
Dr. Carmen Rodriguez-Blazquez received support from AbbVie for attending two scientific congresses. Prof. Mayela Rodriguez-Violante received honorariums from Medtronic and Everneuropharma.
