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| Name | Class |
|---|---|
| Region Blekinge | UNKNOWN |
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This study will investigate new, non-invasive methods to help diagnose Parkinson's disease. Researchers will use advanced eye imaging (hyperspectral retinal photography and OCT), computerized memory and thinking tests, and voice analysis to identify patterns linked to Parkinson's. The goal is to improve early and accurate diagnosis of Parkinson's disease without the need for spinal taps or invasive tests.
This study aims to improve how Parkinson's disease is diagnosed by testing new, non-invasive techniques that do not require spinal taps or other invasive procedures. Researchers are investigating whether changes in the eye's retina, detected with hyperspectral imaging and optical coherence tomography (OCT), can help pinpoint Parkinson's disease. These methods use special photographs and scans, similar to those performed at an eye clinic or optometrist, to analyze patterns linked to nerve cells and blood vessels in the retina.
Additionally, participants will take computerized tests to measure memory, attention, and thinking skills. Since Parkinson's disease can also affect speech, the study will analyze voice recordings for specific changes that are common in the disease, such as reduced volume and strength. By combining information from eye images, cognitive tests, and voice analysis, the project hopes to develop a faster and more accurate way to diagnose Parkinson's disease at an earlier stage.
The study is open to both people with Parkinson's disease and healthy volunteers, and the new diagnostic tools being tested could make future diagnosis simpler, more comfortable, and accessible to a wider population
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Parkinson disease | Inclusion criteria for Parkinson's group:
| ||
| Healthy controls | Inclusion criteria for control group:
Definition of healthy:
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| Measure | Description | Time Frame |
|---|---|---|
| Performance of combined model, retinal, voice and cognitive data | To assess the performance (AUC) of an optimized diagnostic model that combines HSI, OCT, and angio-OCT data with computerized cognitive testing and voice analysis for identifying Parkinson's disease | Through study completion, an average of 6 months |
| Performance retinal biomarkers | To evaluate the performance (AUC) of a diagnostic model that combines hyperspectral retinal imaging (HSI), and optimally selected data from OCT and angio-OCT, for classifying patients with Parkinson's disease | Through study completion, an average of 6 months |
| Measure | Description | Time Frame |
|---|---|---|
| Diagnostic performance of each modality on its own. | Diagnostic performance for each diagnostic modality, HSI, OCT, voice and cognitive testing | Through study completion, an average of 6 months |
| Correlational analyses |
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Inclusion criteria for Parkinson's group:
Inclusion criteria for control group:
Exclusion criteria:
Definition of healthy:
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Thirty consecutive patients with a diagnosis of idiopathic Parkinson's disease who are scheduled for routine follow-up visits at the Neurology Clinic in Karlskrona.
After patient recruitment, 30 healthy controls matched by age and gender (1:1 matching) will be recruited from Blekinge Institute of Technology's (BTH) Research and Development Clinic. At the clinic, there is a list/mailbox where individuals can volunteer to participate in studies. The participants who best match the included Parkinson's patients will be invited to take part
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Anders Behrens, MD. PhD. | Contact | 0046455731000 | anders.behrens@bth.se |
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Anonymised data will be shared upon request from a regarded trustworthy academic partner for replicating purposes only.
After publication
Anonymised data will be shared upon request from a regarded trustworthy academic partner for replicating purposes only.
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| ID | Term |
|---|---|
| D010300 | Parkinson Disease |
| D020961 | Lewy Body Disease |
| ID | Term |
|---|---|
| D020734 | Parkinsonian Disorders |
| D001480 | Basal Ganglia Diseases |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
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Correlation measures for each retinal modality with cognition and functional scale for Parkinson's disease
| Through study completion, an average of 6 months |
| D009422 | Nervous System Diseases |
| D009069 | Movement Disorders |
| D000080874 | Synucleinopathies |
| D019636 | Neurodegenerative Diseases |
| D003704 | Dementia |
| D019965 | Neurocognitive Disorders |
| D001523 | Mental Disorders |