Back to Search
Start Over
Network imaging biomarkers: insights and clinical applications in Parkinson's disease
- Source :
- The Lancet Neurology. 17:629-640
- Publication Year :
- 2018
- Publisher :
- Elsevier BV, 2018.
-
Abstract
- Summary Parkinson's disease presents several practical challenges: it can be difficult to distinguish from atypical parkinsonian syndromes, clinical ratings can be insensitive as markers of disease progression, and its non-motor manifestations are not readily assessed in animal models. These challenges, along with others, are beginning to be addressed by innovative imaging methods to characterise Parkinson's disease-specific functional networks across the whole brain and measure their expression in each patient. These signatures can help improve differential diagnosis, guide selection of patients for clinical trials, and quantify treatment responses and placebo effects in individual patients. The primary Parkinson's disease-related metabolic pattern has been replicated in multiple patient populations and used as an outcome measure in clinical trials. It can also be used as a predictor of near-term phenoconversion in prodromal syndromes, such as rapid eye movement sleep behaviour disorder. Functional network imaging holds great promise for future clinical use in the management of neurodegenerative disorders.
- Subjects :
- 0301 basic medicine
medicine.medical_specialty
Parkinson's disease
business.industry
Disease progression
Parkinson Disease
Disease
medicine.disease
Placebo
Parkinsonian syndromes
Functional networks
Clinical trial
03 medical and health sciences
030104 developmental biology
0302 clinical medicine
Physical medicine and rehabilitation
Disease Progression
Humans
Medicine
Neurology (clinical)
Nerve Net
Differential diagnosis
business
Biomarkers
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 14744422
- Volume :
- 17
- Database :
- OpenAIRE
- Journal :
- The Lancet Neurology
- Accession number :
- edsair.doi.dedup.....6d0f99479de794ac9e5fb3094c7889a7