Freezing of gait in Parkinson's disease: The impact of dual-tasking and turning

2010 ◽  
Vol 25 (15) ◽  
pp. 2563-2570 ◽  
Author(s):  
Joke Spildooren ◽  
Sarah Vercruysse ◽  
Kaat Desloovere ◽  
Wim Vandenberghe ◽  
Eric Kerckhofs ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Freezing Of Gait ◽  
Dual Tasking ◽  
The Impact

scholarly journals The Impact of Dual-Tasking on Postural Stability in People With Parkinson’s Disease With and Without Freezing of Gait

2018 ◽  
Vol 32 (2) ◽  
pp. 166-174 ◽  
Author(s):  
Esther M. J. Bekkers ◽  
Kim Dockx ◽  
Surendar Devan ◽  
Sam Van Rossom ◽  
Sabine M. P. Verschueren ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Postural Stability ◽  
Freezing Of Gait ◽  
Dual Tasking ◽  
The Impact

The impact of functional electrical stimulation (FES) on freezing of gait (FOG) in patients with Parkinson’s disease

2013 ◽  
Vol 124 (7) ◽  
pp. e11 ◽  
Author(s):  
M. Djurić-Jovičić ◽  
S. Radovanović ◽  
I. Petrović ◽  
C. Azevedo ◽  
G. Mann ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Electrical Stimulation ◽  
Functional Electrical Stimulation ◽  
Freezing Of Gait ◽  
The Impact

The impact of turning and dual task on freezing of gait in Parkinson's disease

2018 ◽  
Vol 66 ◽  
pp. S3-S4
Author(s):  
M. Bertoli ◽  
A. Cereatti ◽  
U. Della Croce ◽  
M. Mancini
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Dual Task ◽  
Freezing Of Gait ◽  
The Impact

Neurophysiological correlates of dual tasking in people with Parkinson’s disease and freezing of gait

2020 ◽  
Author(s):  
Conor Fearon ◽  
John S. Butler ◽  
Saskia M. Waechter ◽  
Isabelle Killane ◽  
Simon P. Kelly ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Freezing Of Gait ◽  
Dual Tasking

scholarly journals Amyloid ß Impacts Future Freezing of Gait in Parkinson’s Disease Via White Matter Hyperintensities

2020 ◽  
Author(s):  
Mahsa Dadar ◽  
Janis Miyasaki ◽  
Simon Duchesne ◽  
Richard Camicioli
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
White Matter ◽  
White Matter Hyperintensities ◽  
Freezing Of Gait ◽  
Amyloid Β ◽  
Common Symptom ◽  
Activity Levels ◽  
Lewy Body Pathology ◽  
The Impact

AbstractBackgroundFreezing of gait (FOG) is a common symptom in Parkinson’s Disease (PD) patients. Previous studies have reported relationships between FOG, substantia nigra (SN) degeneration, dopamine transporter (DAT) concentration, as well as amyloid β deposition. However, there is a paucity of research on the concurrent impact of white matter damage.ObjectivesTo assess the inter-relationships between these different co-morbidities, their impact on future FOG and whether they act independently of each other.MethodsWe used baseline MRI and longitudinal gait data from the Parkinson’s Progression Markers Initiative (PPMI). We used deformation based morphometry (DBM) from T1-weighted MRI to measure SN atrophy, and segmentation of white matter hyperintensities (WMH) as a measure of WM pathological load. Putamen and caudate DAT levels from SPECT as well as cerebrospinal fluid (CSF) amyloid β were obtained directly from the PPMI. Following correlation analyses, we investigated whether WMH burden mediates the impact of amyloid β on future FOG.ResultsSN DBM, WMH load, putamen and caudate DAT activity and CSF amyloid β levels were significantly different between PD patients with and without future FOG (p < 0.008). Mediation analysis demonstrated an effect of CSF amyloid β levels on future FOG via WMH load, independent of SN atrophy and striatal DAT activity levels.ConclusionsAmyloid β might impact future FOG in PD patients through an increase in WMH burden, in a pathway independent of Lewy body pathology.

scholarly journals Postural and Balance Disorders in Patients with Parkinson’s Disease: A Prospective Open-Label Feasibility Study with Two Months of Action Observation Treatment

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Andrea Santamato ◽  
Maurizio Ranieri ◽  
Nicoletta Cinone ◽  
Lucia Anna Stuppiello ◽  
Giovanni Valeno ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Feasibility Study ◽  
Action Observation ◽  
Freezing Of Gait ◽  
Postural Instability ◽  
Open Label ◽  
Balance Disorders ◽  
The Impact

Action observation treatment has been proposed as therapeutic option in rehabilitation of patients affected by Parkinson’s disease (PD) to improve freezing of gait episodes. The purpose of this prospective open-label feasibility study was to evaluate the impact of 8-week action observation training (video-therapy) for the treatment of postural instability and balance impairment in PD patients. Fifteen PD patients aged under 80 years with scores of 1 to 3 on the Hoehn and Yahr staging and without evidence of freezing of gait were recruited. They underwent 24 sessions of video-therapy training based on carefully watching video clips on motor tasks linked to balance, subsequently performing the same observed movements. No statistically significant differences were observed in the identified outcome measures with the Berg Balance Scale and the Activities-Specific Balance Confidence Scale after two months of follow-up. In the present study, a short course of action observation treatment seems to be not effective in reducing balance impairments and postural instability in patients affected by mild to moderate PD. Further studies with larger samples, longer follow-up period, and standardized protocols of action observation treatment are needed to investigate the effects of this rehabilitation technique in the management of postural and balance disorders of PD patients.

scholarly journals Improved Deep Learning Technique to Detect Freezing of Gait in Parkinson’s Disease Based on Wearable Sensors

Electronics ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 1919
Author(s):  
Bochen Li ◽  
Zhiming Yao ◽  
Jianguo Wang ◽  
Shaonan Wang ◽  
Xianjun Yang ◽  
...  
Keyword(s):  
Neural Network ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Deep Learning ◽  
Cross Validation ◽  
Freezing Of Gait ◽  
Detection Performance ◽  
Operating Efficiency ◽  
The Impact ◽  
Fog Detection

Freezing of gait (FOG) is a paroxysmal dyskinesia, which is common in patients with advanced Parkinson’s disease (PD). It is an important cause of falls in PD patients and is associated with serious disability. In this study, we implemented a novel FOG detection system using deep learning technology. The system takes multi-channel acceleration signals as input, uses one-dimensional deep convolutional neural network to automatically learn feature representations, and uses recurrent neural network to model the temporal dependencies between feature activations. In order to improve the detection performance, we introduced squeeze-and-excitation blocks and attention mechanism into the system, and used data augmentation to eliminate the impact of imbalanced datasets on model training. Experimental results show that, compared with the previous best results, the sensitivity and specificity obtained in 10-fold cross-validation evaluation were increased by 0.017 and 0.045, respectively, and the equal error rate obtained in leave-one-subject-out cross-validation evaluation was decreased by 1.9%. The time for detection of a 256 data segment is only 0.52 ms. These results indicate that the proposed system has high operating efficiency and excellent detection performance, and is expected to be applied to FOG detection to improve the automation of Parkinson’s disease diagnosis and treatment.

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