The Integrated Parkinson’s disease Care Network (IPCN): Qualitative evaluation of a new approach to care for Parkinson’s disease

2021 ◽  
Vol 104 (1) ◽  
pp. 136-142
Author(s):  
Dorothy Kessler ◽  
Stacey Hatch ◽  
Libby Alexander ◽  
David Grimes ◽  
Diane Côté ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Qualitative Evaluation ◽  
New Approach ◽  
Care Network

scholarly journals Coordinating a new approach to basic research into Parkinson’s disease

eLife ◽  
2019 ◽  
Vol 8 ◽  
Author(s):  
Randy Schekman ◽  
Ekemini AU Riley
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Basic Research ◽  
Open Science ◽  
Research Community ◽  
International Network ◽  
New Approach ◽  
Science Practices ◽  
New Therapies

The Aligning Science Across Parkinson’s (ASAP) initiative is building an international network of researchers to improve our understanding of the biology underlying Parkinson's disease. Developing a better understanding of how the disease originates and progresses will, we hope, lead to new therapies. The ASAP initiative will incentivize collaboration between the existing PD research community and other researchers and will be committed to open-science practices.

Intraoperative functional MRI as a new approach to monitor deep brain stimulation in Parkinson's disease

2004 ◽  
Vol 14 (4) ◽  
pp. 686-690 ◽  
Author(s):  
Bettina Sorger ◽  
Ralf Girnus ◽  
Oliver Schulte ◽  
Barbara Krug ◽  
Klaus Lackner ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Deep Brain Stimulation ◽  
Functional Mri ◽  
Brain Stimulation ◽  
New Approach ◽  
Deep Brain

Nasal administration of nanoencapsulated geraniol/ursodeoxycholic acid conjugate: Towards a new approach for the management of Parkinson's disease

2020 ◽  
Vol 321 ◽  
pp. 540-552 ◽  
Author(s):  
Edilson Ribeiro de Oliveira Junior ◽  
Eleonora Truzzi ◽  
Luca Ferraro ◽  
Marco Fogagnolo ◽  
Barbara Pavan ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Ursodeoxycholic Acid ◽  
Nasal Administration ◽  
New Approach ◽  
Acid Conjugate

Development of the Integrated Parkinson’s Care Network (IPCN): using co-design to plan collaborative care for people with Parkinson’s disease

2019 ◽  
Vol 28 (5) ◽  
pp. 1355-1364 ◽  
Author(s):  
Dorothy Kessler ◽  
Jennifer Hauteclocque ◽  
David Grimes ◽  
Tiago Mestre ◽  
Diane Côtéd ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Collaborative Care ◽  
Care Network

scholarly journals Computer keyboard interaction as an indicator of early Parkinson’s disease

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
L. Giancardo ◽  
A. Sánchez-Ferro ◽  
T. Arroyo-Gallego ◽  
I. Butterworth ◽  
C. S. Mendoza ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
New Approach ◽  
Early Stages ◽  
Current Medical Practice ◽  
Undue Burden ◽  
Computer Keyboard ◽  
Time Required ◽  
Early Parkinson’S Disease ◽  
Better Than

Abstract Parkinson’s disease (PD) is a slowly progressing neurodegenerative disease with early manifestation of motor signs. Objective measurements of motor signs are of vital importance for diagnosing, monitoring and developing disease modifying therapies, particularly for the early stages of the disease when putative neuroprotective treatments could stop neurodegeneration. Current medical practice has limited tools to routinely monitor PD motor signs with enough frequency and without undue burden for patients and the healthcare system. In this paper, we present data indicating that the routine interaction with computer keyboards can be used to detect motor signs in the early stages of PD. We explore a solution that measures the key hold times (the time required to press and release a key) during the normal use of a computer without any change in hardware and converts it to a PD motor index. This is achieved by the automatic discovery of patterns in the time series of key hold times using an ensemble regression algorithm. This new approach discriminated early PD groups from controls with an AUC = 0.81 (n = 42/43; mean age = 59.0/60.1; women = 43%/60%;PD/controls). The performance was comparable or better than two other quantitative motor performance tests used clinically: alternating finger tapping (AUC = 0.75) and single key tapping (AUC = 0.61).

Using partial decision trees to predict Parkinson’s symptoms: A new approach for diagnosis and therapy in patients suffering from Parkinson’s disease

2012 ◽  
Vol 42 (2) ◽  
pp. 195-204 ◽  
Author(s):  
Themis P. Exarchos ◽  
Alexandros T. Tzallas ◽  
Dina Baga ◽  
Dimitra Chaloglou ◽  
Dimitrios I. Fotiadis ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Decision Trees ◽  
New Approach ◽  
Diagnosis And Therapy
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