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1.
Yonsei Medical Journal ; : 726-736, 2015.
Artigo em Inglês | WPRIM | ID: wpr-77292

RESUMO

PURPOSE: As Parkinson's disease (PD) can be considered a network abnormality, the effects of deep brain stimulation (DBS) need to be investigated in the aspect of networks. This study aimed to examine how DBS of the bilateral subthalamic nucleus (STN) affects the motor networks of patients with idiopathic PD during motor performance and to show the feasibility of the network analysis using cross-sectional positron emission tomography (PET) images in DBS studies. MATERIALS AND METHODS: We obtained [15O]H2O PET images from ten patients with PD during a sequential finger-to-thumb opposition task and during the resting state, with DBS-On and DBS-Off at STN. To identify the alteration of motor networks in PD and their changes due to STN-DBS, we applied independent component analysis (ICA) to all the cross-sectional PET images. We analysed the strength of each component according to DBS effects, task effects and interaction effects. RESULTS: ICA blindly decomposed components of functionally associated distributed clusters, which were comparable to the results of univariate statistical parametric mapping. ICA further revealed that STN-DBS modifies usage-strengths of components corresponding to the basal ganglia-thalamo-cortical circuits in PD patients by increasing the hypoactive basal ganglia and by suppressing the hyperactive cortical motor areas, ventrolateral thalamus and cerebellum. CONCLUSION: Our results suggest that STN-DBS may affect not only the abnormal local activity, but also alter brain networks in patients with PD. This study also demonstrated the usefulness of ICA for cross-sectional PET data to reveal network modifications due to DBS, which was not observable using the subtraction method.


Assuntos
Idoso , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Encéfalo/diagnóstico por imagem , Estudos Transversais , Estimulação Encefálica Profunda/métodos , Lateralidade Funcional/fisiologia , Doença de Parkinson/diagnóstico por imagem , Tomografia por Emissão de Pósitrons , Índice de Gravidade de Doença , Núcleo Subtalâmico/fisiopatologia
2.
Korean Journal of Anesthesiology ; : 323-328, 2010.
Artigo em Inglês | WPRIM | ID: wpr-59746

RESUMO

BACKGROUND: Respiratory dynamics may be monitored and evaluated indirectly by measuring the peak inspiratory pressure and plateau pressure. In this study, the respiratory dynamics of patients undergoing spinal surgery using a Jackson surgical table were observed with a device after converting their position from supine to prone. The effects of the dynamic compliance and airway resistance were observed from the changes in peak inspiratory pressure and plateau. METHODS: Twenty five patients were selected as subjects scheduled to undergo lumbar spine surgery. After intubation, the patients were ventilated mechanically with a tidal volume of 10 ml/kg and a respiration rate of 10/min. Anesthesia was maintained with sevoflurane 1.5%, nitrous oxide 2 L/min and oxygen 2 L/min. The peak inspiratory pressure, plateau pressure, resistance, compliance, arterial oxygen tension, carbon dioxide tension, heart rate and arterial blood pressure were measured at 10 minutes after the induction of anesthesia. These parameters were measured again 10 minutes after placing the patient in the prone position. RESULTS: The prone position did not significantly affect the arterial oxygen tension, carbon dioxide tension, blood pressure and heart rate, but significantly increased the peak inspiratory pressure and resistance and decreased the dynamic compliance. CONCLUSIONS: The peak inspiratory pressure was increased using a Jackson surgical table to minimize the abdominal pressure when converting from the supine to prone position. This might be due to a decrease in lung and chest compliance as well as an increase in airway resistance.


Assuntos
Humanos , Resistência das Vias Respiratórias , Anestesia , Pressão Arterial , Pressão Sanguínea , Dióxido de Carbono , Complacência (Medida de Distensibilidade) , Frequência Cardíaca , Intubação , Pulmão , Éteres Metílicos , Óxido Nitroso , Oxigênio , Decúbito Ventral , Mecânica Respiratória , Taxa Respiratória , Coluna Vertebral , Tórax , Volume de Ventilação Pulmonar
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