834 resultados para ELECTROCONVULSIVE STIMULATION


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Deep brain stimulation (DBS) provides significant therapeutic benefit for movement disorders such as Parkinson’s disease (PD). Current DBS devices lack real-time feedback (thus are open loop) and stimulation parameters are adjusted during scheduled visits with a clinician. A closed-loop DBS system may reduce power consumption and side effects by adjusting stimulation parameters based on patient’s behavior. Thus behavior detection is a major step in designing such systems. Various physiological signals can be used to recognize the behaviors. Subthalamic Nucleus (STN) Local field Potential (LFP) is a great candidate signal for the neural feedback, because it can be recorded from the stimulation lead and does not require additional sensors. This thesis proposes novel detection and classification techniques for behavior recognition based on deep brain LFP. Behavior detection from such signals is the vital step in developing the next generation of closed-loop DBS devices. LFP recordings from 13 subjects are utilized in this study to design and evaluate our method. Recordings were performed during the surgery and the subjects were asked to perform various behavioral tasks. Various techniques are used understand how the behaviors modulate the STN. One method studies the time-frequency patterns in the STN LFP during the tasks. Another method measures the temporal inter-hemispheric connectivity of the STN as well as the connectivity between STN and Pre-frontal Cortex (PFC). Experimental results demonstrate that different behaviors create different m odulation patterns in STN and it’s connectivity. We use these patterns as features to classify behaviors. A method for single trial recognition of the patient’s current task is proposed. This method uses wavelet coefficients as features and support vector machine (SVM) as the classifier for recognition of a selection of behaviors: speech, motor, and random. The proposed method is 82.4% accurate for the binary classification and 73.2% for classifying three tasks. As the next step, a practical behavior detection method which asynchronously detects behaviors is proposed. This method does not use any priori knowledge of behavior onsets and is capable of asynchronously detect the finger movements of PD patients. Our study indicates that there is a motor-modulated inter-hemispheric connectivity between LFP signals recorded bilaterally from STN. We utilize a non-linear regression method to measure this inter-hemispheric connectivity and to detect the finger movements. Our experimental results using STN LFP recorded from eight patients with PD demonstrate this is a promising approach for behavior detection and developing novel closed-loop DBS systems.

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Beaucoup de patients atteints de la maladie de Parkinson (MP) peuvent souffrir de troubles cognitifs dès les étapes initiales de la maladie et jusqu’à 80% d’entre eux vont développer une démence. Des altérations fonctionnelles au niveau du cortex préfrontal dorsolatéral (CPFDL), possiblement en relation avec le noyau caudé, seraient à l’origine de certains de ces déficits cognitifs. Des résultats antérieurs de notre groupe ont montré une augmentation de l’activité et de la connectivité dans la boucle cortico-striatale cognitive suite à la stimulation magnétique transcrânienne (SMT) utilisant des paramètres « theta burst » intermittent (iTBS) sur le CPFDL gauche. Pour cette étude, 24 patients atteints de la MP avec des troubles cognitifs ont été séparées en 2 groupes : le groupe iTBS active (N=15) et le groupe sham (stimulation simulée, N=9). Une batterie neuropsychologique détaillée évaluant cinq domaines cognitifs (attention, fonctions exécutives, langage, mémoire et habiletés visuo-spatiales) a été administrée lors des jours 1, 8, 17 et 37. Le protocole iTBS a été appliqué sur le CPFDL gauche durant les jours 2, 4 et 7. Les scores z ont été calculés pour chaque domaine cognitif et pour la cognition globale. Les résultats ont montré une augmentation significative de la cognition globale jusqu’à 10 jours suivant l’iTBS active, particulièrement au niveau de l’attention, des fonctions exécutives et des habiletés visuo-spatiales. Cet effet sur la cognition globale n’est pas répliqué dans le groupe sham. Ces résultats suggèrent donc que l’iTBS peut moduler la performance cognitive chez les patients atteints de MP avec des déficits cognitifs.

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Mode of access: Internet.

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Pt. 1. Deafening effects of noise on the cat -- Pt. 2. Histological effects of intense sound on the inner ear.

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Thesis (Ph.D.)--University of Washington, 2016-06

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Objective: To determine the population-based utilization rate of electroconvulsive therapy (ECT) in Victoria between 1998-1999, to examine the characteristics of the ECT treated group, and to identify patient factors independently associated with differential rates of ECT treatment. Method: Electroconvulsive therapy is reported under statute in Victoria, Australia. Crude, age-adjusted and age-sex specific utilization rates were calculated using this statutory data for the 1998-1999 financial year and estimated mid-year populations from the Australian Bureau of Statistics. Descriptive characteristics of those treated with ECT were derived from the statutory data. Patient factors associated with an increased likelihood of ECT in the public sector were explored with logistic regression analysis, using non-ECT treated mental health patients from the Victorian Psychiatric Case Register as the reference population. Results: The crude treated-person and age-adjusted rates for the State (both public and private sectors) were 39.9 and 44.0 persons per 100 000 resident population per annum, respectively. The crude and age-adjusted administration rates were 330.3 and 362.6 ECT administrations per 100 000 resident population per annum, respectively. Age-sex specific rates varied by age and sex, with rates generally increasing with age and female sex. Overall, 62.8% of the treated group were women, 32.9% aged over 64, and 75.2% had depression. Diagnosis, age and sex each independently predicted ECT in the public sector, with diagnosis the most important factor, followed by age then sex. Conclusions: Despite decades of use, the appropriate rate of ECT utilization is still unclear. Further research should be directed at exploring the factors, including provider variables, determining ECT treatment.