scholarly journals Symptoms and Lesion Localization of Buccofacial Apraxia: Explanation of the Mechanism of Apraxia from the Standpoint of Behaviorism.

1994 ◽  
Vol 14 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Kunihiko Endo
2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Matvey Ezhov ◽  
Maxim Gusarev ◽  
Maria Golitsyna ◽  
Julian M. Yates ◽  
Evgeny Kushnerev ◽  
...  

AbstractIn this study, a novel AI system based on deep learning methods was evaluated to determine its real-time performance of CBCT imaging diagnosis of anatomical landmarks, pathologies, clinical effectiveness, and safety when used by dentists in a clinical setting. The system consists of 5 modules: ROI-localization-module (segmentation of teeth and jaws), tooth-localization and numeration-module, periodontitis-module, caries-localization-module, and periapical-lesion-localization-module. These modules use CNN based on state-of-the-art architectures. In total, 1346 CBCT scans were used to train the modules. After annotation and model development, the AI system was tested for diagnostic capabilities of the Diagnocat AI system. 24 dentists participated in the clinical evaluation of the system. 30 CBCT scans were examined by two groups of dentists, where one group was aided by Diagnocat and the other was unaided. The results for the overall sensitivity and specificity for aided and unaided groups were calculated as an aggregate of all conditions. The sensitivity values for aided and unaided groups were 0.8537 and 0.7672 while specificity was 0.9672 and 0.9616 respectively. There was a statistically significant difference between the groups (p = 0.032). This study showed that the proposed AI system significantly improved the diagnostic capabilities of dentists.


2021 ◽  
Vol 14 ◽  
pp. 117954762199457
Author(s):  
Daniele Emedoli ◽  
Maddalena Arosio ◽  
Andrea Tettamanti ◽  
Sandro Iannaccone

Background: Buccofacial Apraxia is defined as the inability to perform voluntary movements of the larynx, pharynx, mandible, tongue, lips and cheeks, while automatic or reflexive control of these structures is preserved. Buccofacial Apraxia frequently co-occurs with aphasia and apraxia of speech and it has been reported as almost exclusively resulting from a lesion of the left hemisphere. Recent studies have demonstrated the benefit of treating apraxia using motor training principles such as Augmented Feedback or Action Observation Therapy. In light of this, the study describes the treatment based on immersive Action Observation Therapy and Virtual Reality Augmented Feedback in a case of Buccofacial Apraxia. Participant and Methods: The participant is a right-handed 58-years-old male. He underwent a neurosurgery intervention of craniotomy and exeresis of infra axial expansive lesion in the frontoparietal convexity compatible with an atypical meningioma. Buccofacial Apraxia was diagnosed by a neurologist and evaluated by the Upper and Lower Face Apraxia Test. Buccofacial Apraxia was quantified also by a specific camera, with an appropriately developed software, able to detect the range of motion of automatic face movements and the range of the same movements on voluntary requests. In order to improve voluntary movements, the participant completed fifteen 1-hour rehabilitation sessions, composed of a 20-minutes immersive Action Observation Therapy followed by a 40-minutes Virtual Reality Augmented Feedback sessions, 5 days a week, for 3 consecutive weeks. Results: After treatment, participant achieved great improvements in quality and range of facial movements, performing most of the facial expressions (eg, kiss, smile, lateral angle of mouth displacement) without unsolicited movement. Furthermore, the Upper and Lower Face Apraxia Test showed an improvement of 118% for the Upper Face movements and of 200% for the Lower Face movements. Conclusion: Performing voluntary movement in a Virtual Reality environment with Augmented Feedbacks, in addition to Action Observation Therapy, improved performances of facial gestures and consolidate the activations by the central nervous system based on principles of experience-dependent neural plasticity.


1992 ◽  
Vol 43 (1) ◽  
pp. 83-95 ◽  
Author(s):  
M.P. Alexander ◽  
R.B. Friedman ◽  
F. Loverso ◽  
R.S. Fischer
Keyword(s):  

2002 ◽  
Vol 184 (4) ◽  
pp. 318-321 ◽  
Author(s):  
Philip Israel ◽  
Mark Gittleman ◽  
Michael Fenoglio ◽  
Lewis Stocks ◽  
Robert Gardner ◽  
...  

2011 ◽  
Vol 36 (2) ◽  
pp. 187-187
Author(s):  
L. Ferguson ◽  
S. Vasani ◽  
G. Sandhu
Keyword(s):  

2017 ◽  
Vol 274 (7) ◽  
pp. 2915-2919 ◽  
Author(s):  
Mehmet Ali Gulcelik ◽  
Niyazi Karaman ◽  
Lutfi Dogan ◽  
Ilgın Sahiner ◽  
Gokhan Giray Akgul ◽  
...  

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