Video-Based Automated Assessment of Movement Parameters Consistent with MDS-UPDRS III in Parkinson’s Disease
Authors: Vignoud, Gaëtan | Desjardins, Clément | Salardaine, Quentin | Mongin, Marie | Garcin, Béatrice | Venance, Laurent | Degos, Bertrand
Article Type: Research Article
Abstract: Background: Among motor symptoms of Parkinson’s disease (PD), including rigidity and resting tremor, bradykinesia is a mandatory feature to define the parkinsonian syndrome. MDS-UPDRS III is the worldwide reference scale to evaluate the parkinsonian motor impairment, especially bradykinesia. However, MDS-UPDRS III is an agent-based score making reproducible measurements and follow-up challenging. Objective: Using a deep learning approach, we developed a tool to compute an objective score of bradykinesia based on the guidelines of the gold-standard MDS-UPDRS III. Methods: We adapted and applied two deep learning algorithms to detect a two-dimensional (2D) skeleton of the hand composed of 21 predefined points, …and transposed it into a three-dimensional (3D) skeleton for a large database of videos of parkinsonian patients performing MDS-UPDRS III protocols acquired in the Movement Disorder unit of Avicenne University Hospital. Results: We developed a 2D and 3D automated analysis tool to study the evolution of several key parameters during the protocol repetitions of the MDS-UPDRS III. Scores from 2D automated analysis showed a significant correlation with gold-standard ratings of MDS-UPDRS III, measured with coefficients of determination for the tapping (0.609) and hand movements (0.701) protocols using decision tree algorithms. The individual correlations of the different parameters measured with MDS-UPDRS III scores carry meaningful information and are consistent with MDS-UPDRS III guidelines. Conclusion: We developed a deep learning-based tool to precisely analyze movement parameters allowing to reliably score bradykinesia for parkinsonian patients in a MDS-UPDRS manner. Show more
Keywords: Bradykinesia, deep learning, Parkinson’s disease, MDS-UPDRS III
DOI: 10.3233/JPD-223445
Citation: Journal of Parkinson's Disease, vol. 12, no. 7, pp. 2211-2222, 2022
The Diagnostic Value of a Short Memory Test: The TNI-93
Authors: Foucard, Cendrine | Palisson, Juliette | Belin, Catherine | Bereaux, Chloé | Dumurgier, Julien | Paquet, Claire | Degos, Bertrand | Bouaziz-Amar, Elodie | Maillet, Didier | Houot, Marion | Garcin, Béatrice
Article Type: Research Article
Abstract: Background: The TNI-93 is a quick memory test designed for all patients regardless of their education level. A significant proportion of patients with Alzheimer’s disease (AD) are illiterate or poorly educated, and only a few memory tests are adapted for these patients. Objective: In this study we aimed at assessing the diagnostic value of the TNI-93 for diagnosis of patients with biologically confirmed amyloid status. Methods: We included all patients who had an analysis of AD cerebrospinal fluid biomarkers, a neuropsychological assessment including a TNI-93 and an anatomical brain imaging at Avicenne Hospital between January 2009 and November 2019. We …compared the TNI-93 scores in patients with amyloid abnormalities (A+) and patients without amyloid abnormalities (A-) according to the AT(N) diagnostic criteria. Results: 108 patients were included (mean age: 66.9±8.5 years old, mean education level: 8.9±5.2 years). Patients from the A + group (N= 80) were significantly more impaired than patients from the A- group (N= 28) on immediate recall (A+: 5.9±2.8; A-: 7.4±2.6; p = 0.001), free recall (A+: 3.5±2.7; A-: 5.9±2.8; p ≤ 0.001), total recall (A+: 5.7±3.5; A-:7.8±2.8; p ≤ 0.001), and on number of intrusions during the recall phase (A+: 1±1.8; A-: 0.1±0.3; p = 0.002). ROC curves revealed that the best scores to discriminate A + from A- patients were immediate recall (Area under curve (AUC): 0.70), number of encoding trials (AUC: 0.73), free recall (AUC: 0.74), and total recall (AUC: 0.74). Conclusion: The TNI-93’s immediate, free, and total recalls are valuable tools for the 39 diagnosis of AD. Show more
Keywords: Alzheimer’s disease, AT(N), cerebrospinal fluid biomarkers, illiteracy, memory test, neuropsychology
DOI: 10.3233/JAD-210546
Citation: Journal of Alzheimer's Disease, vol. 84, no. 4, pp. 1461-1471, 2021