As the most common neurodegenerative movement disorder, Parkinson’s Disease (PD) has an enormous impact on health care systems around the world. There are a number of new technologies that may greatly assist in the early diagnosis, monitoring, and treatment of PD. Modern neuroimaging technologies, including MRI, EEG, MEG, PET, and CT are able to noninvasively examine the diseased brain and investigate the underlying neural systems in PD, resulting in powerful approaches for disease detection and monitoring. New data fusion methods can combine information from complementary technologies allowing for more comprehensive assessments. New lightweight and wireless sensors can monitor movement, electrodermal responses, temperature, and heart rate. Non-invasive electrical stimulation can modulate brain activity, providing new unexplored avenues of treatment.
In order to have an overview of new imaging and engineering technologies for PD research and create a platform to discuss how these can be used to diagnose, assess and treat PD, for this Research Topic, we are interested in high-quality original research and review articles. Potential subtopics include but are not limited to the following:
- Novel imaging (structural or functional) and behavioural features for improving the sensitivity of detecting disease-related changes and monitoring PD progression.
- Sensors for recording motion, heart rate, temperature, and electrodermal response.
- Algorithms for preprocessing (e.g. artifact rejection, denoising) from sensor recordings and imaging data applied to PD.
- Novel machine learning approaches applied to sensor, imaging, and/or clinical PD data.
- Non-invasive stimulation methods applied to PD (e.g. TMS, electrical stimulation).
As the most common neurodegenerative movement disorder, Parkinson’s Disease (PD) has an enormous impact on health care systems around the world. There are a number of new technologies that may greatly assist in the early diagnosis, monitoring, and treatment of PD. Modern neuroimaging technologies, including MRI, EEG, MEG, PET, and CT are able to noninvasively examine the diseased brain and investigate the underlying neural systems in PD, resulting in powerful approaches for disease detection and monitoring. New data fusion methods can combine information from complementary technologies allowing for more comprehensive assessments. New lightweight and wireless sensors can monitor movement, electrodermal responses, temperature, and heart rate. Non-invasive electrical stimulation can modulate brain activity, providing new unexplored avenues of treatment.
In order to have an overview of new imaging and engineering technologies for PD research and create a platform to discuss how these can be used to diagnose, assess and treat PD, for this Research Topic, we are interested in high-quality original research and review articles. Potential subtopics include but are not limited to the following:
- Novel imaging (structural or functional) and behavioural features for improving the sensitivity of detecting disease-related changes and monitoring PD progression.
- Sensors for recording motion, heart rate, temperature, and electrodermal response.
- Algorithms for preprocessing (e.g. artifact rejection, denoising) from sensor recordings and imaging data applied to PD.
- Novel machine learning approaches applied to sensor, imaging, and/or clinical PD data.
- Non-invasive stimulation methods applied to PD (e.g. TMS, electrical stimulation).
