1000 resultados para Analyse EEG quantifiée


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We consider electroencephalograms (EEGs) of healthy individuals and compare the properties of the brain functional networks found through two methods: unpartialized and partialized cross-correlations. The networks obtained by partial correlations are fundamentally different from those constructed through unpartial correlations in terms of graph metrics. In particular, they have completely different connection efficiency, clustering coefficient, assortativity, degree variability, and synchronization properties. Unpartial correlations are simple to compute and they can be easily applied to large-scale systems, yet they cannot prevent the prediction of non-direct edges. In contrast, partial correlations, which are often expensive to compute, reduce predicting such edges. We suggest combining these alternative methods in order to have complementary information on brain functional networks.

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De manière générale, l'autonomie des établissements de formation influence positivement la performance scolaire. Une enquête réalisée en Suisse romande auprès de 219 cadres scolaires permet, dans la présente contribution, de mesurer l'écart existant entre le degré d'autonomie souhaitée par les cadres scolaires d'une part et le degré d'autonomie dont ils disent disposer d'autre part. Le traitement descriptif des données de l'enquête démontre que, dans tous les domaines de gestion, les cadres scolaires souhaitent disposer de plus d'autonomie qu'ils n'en perçoivent. Ce constat est valable dans tous les cantons, tous les degrés du système éducatif et toutes les fonctions. Le degré d'autonomie souhaitée ne varie que peu selon les cantons, les degrés ou les fonctions. Sur cette base, il n'est pas possible de conclure à la nécessité ou à la pertinence d'un degré d'autonomie différenciée selon les cantons, les degrés ou les fonctions. Le traitement analytique des données de l'enquête identifie les facteurs expliquant l'écart entre les degrés d'autonomie souhaitée et perçue. Cet écart est plus élevé que la moyenne dans les cantons de Fribourg et de Genève, dans le degré primaire et dans la fonction de directeur. En d'autres termes, l'adéquation entre les degrés d'autonomie souhaitée et perçue est moins bonne dans ces cantons, ce degré et cette fonction. Un rattrapage en matière de délégation d'autonomie est dès lors possible. La reconnaissance, à l'intérieur de l'établissement, d'une faculté de conduite et de pilotage à la direction exerce un effet positif sur le degré d'autonomie souhaitée et un effet positif plus important encore sur le degré perçu. Par conséquent, il apparaît qu'une direction dont la faculté de conduite est avérée souhaite non seulement disposer de plus d'autonomie mais parvienne à obtenir (ou à « gagner ») plus d'autonomie. Abstract School autonomy has a positive influence on pupils' performance. This article presents the results of a survey conducted in the French-speaking part of Switzerland on 219 school leaders. The objective of the survey is to measure and to explain the gap between the level of autonomy desired by school leaders, and the level of autonomy that they perceive. Descriptive statistics show that, in every single management area, school leaders wish to have more autonomy than they actually have. This result is valid in all cantons, all levels of the education system and all types of job. The desired level of autonomy varies only slightly depending on the cantons, the levels of the education system and the types of job. On this basis, it is not possible to conclude that it is necessary and relevant to differentiate the level of autonomy depending on the cantons, the levels of the education system and the types of job. Analytical statistics identify the explanatory variables of the gap between the desired level of autonomy and the perceived level of autonomy. This gap is higher than average in the cantons of Fribourg and Geneva, in the primary level of education and in the position of head-teacher. In other words, the adequacy between the desired and the perceived levels of autonomy is worse in these cantons, this level and this position. As a result, a catch-up on the delegation of school autonomy is possible. Results also show that school leaders, whose management competence is recognized by its staff, not only want more autonomy but succeed in securing (or "gaining") more autonomy.

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OBJECTIVES: Recommendations for EEG monitoring in the ICU are lacking. The Neurointensive Care Section of the ESICM assembled a multidisciplinary group to establish consensus recommendations on the use of EEG in the ICU. METHODS: A systematic review was performed and 42 studies were included. Data were extracted using the PICO approach, including: (a) population, i.e. ICU patients with at least one of the following: traumatic brain injury, subarachnoid hemorrhage, intracerebral hemorrhage, stroke, coma after cardiac arrest, septic and metabolic encephalopathy, encephalitis, and status epilepticus; (b) intervention, i.e. EEG monitoring of at least 30 min duration; (c) control, i.e. intermittent vs. continuous EEG, as no studies compared patients with a specific clinical condition, with and without EEG monitoring; (d) outcome endpoints, i.e. seizure detection, ischemia detection, and prognostication. After selection, evidence was classified and recommendations developed using the GRADE system. RECOMMENDATIONS: The panel recommends EEG in generalized convulsive status epilepticus and to rule out nonconvulsive seizures in brain-injured patients and in comatose ICU patients without primary brain injury who have unexplained and persistent altered consciousness. We suggest EEG to detect ischemia in comatose patients with subarachnoid hemorrhage and to improve prognostication of coma after cardiac arrest. We recommend continuous over intermittent EEG for refractory status epilepticus and suggest it for patients with status epilepticus and suspected ongoing seizures and for comatose patients with unexplained and persistent altered consciousness. CONCLUSIONS: EEG monitoring is an important diagnostic tool for specific indications. Further data are necessary to understand its potential for ischemia assessment and coma prognostication.

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This article examines, in two Swiss cantons, the interdependence from a medical care point of view of various regions (health planning zones in one canton, political districts in the other). The volume and the destination of patient referrals prescribed by physicians in ambulatory practice are analyzed. The available data (on 1609 referrals) were gathered by the practitioners themselves, during a National Ambulatory Medical Care Survey type study in February-March 1981, in which 203 physicians participated. Several indicators are proposed (including an integration coefficient and an attraction coefficient for each zone); they show marked differences among the regions. This dynamic approach, based on the effective behavior of physicians, appears to be of major interest for health planning purposes (as compared with the frequent practice to use mainly parameters in relation with the availability of care services--the "supply"--numbers of professionals and/or health facilities).

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Cet article fait suite à deux articles parus récemment dans la Revue Internationale de Psychologie Sociale traitant de la norme d'internalité et de sa mesure (Beauvois & Dubois, 2009a; Delmas, 2009). Dans un premier temps, nous discutons des confusions et glissements entre deux courants perçus bien souvent comme proches: l'approche du Locus of control et la théorie de la norme d'internalité. Nous pointons ensuite quelques difficultés méthodologiques qui ont alimenté ces confusions. Enfin, nous proposons de prendre en compte ces difficultés en redéfinissant le statut de la mesure en fonction d'une unité d'analyse plus adaptée pour l'étude de la norme d'internalité: les explications causales et non les individus. Ce changement d'unités d'analyse nous amènera à proposer une méthode plus adaptée pour l'étude de la normativité des explications causales : l'échantillonnage aléatoire des items composant ces questionnaires.

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We propose and validate a multivariate classification algorithm for characterizing changes in human intracranial electroencephalographic data (iEEG) after learning motor sequences. The algorithm is based on a Hidden Markov Model (HMM) that captures spatio-temporal properties of the iEEG at the level of single trials. Continuous intracranial iEEG was acquired during two sessions (one before and one after a night of sleep) in two patients with depth electrodes implanted in several brain areas. They performed a visuomotor sequence (serial reaction time task, SRTT) using the fingers of their non-dominant hand. Our results show that the decoding algorithm correctly classified single iEEG trials from the trained sequence as belonging to either the initial training phase (day 1, before sleep) or a later consolidated phase (day 2, after sleep), whereas it failed to do so for trials belonging to a control condition (pseudo-random sequence). Accurate single-trial classification was achieved by taking advantage of the distributed pattern of neural activity. However, across all the contacts the hippocampus contributed most significantly to the classification accuracy for both patients, and one fronto-striatal contact for one patient. Together, these human intracranial findings demonstrate that a multivariate decoding approach can detect learning-related changes at the level of single-trial iEEG. Because it allows an unbiased identification of brain sites contributing to a behavioral effect (or experimental condition) at the level of single subject, this approach could be usefully applied to assess the neural correlates of other complex cognitive functions in patients implanted with multiple electrodes.