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Literatura académica sobre el tema "Réseau cérébrovasculaire"
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Artículos de revistas sobre el tema "Réseau cérébrovasculaire"
Haché, Jenna, Kwadwo Osei Bonsu, Rufaro Chitsike, Hai Nguyen y Stephanie Young. "Assessment of a Pharmacist-Led Direct Oral Anticoagulant Monitoring Clinic". Canadian Journal of Hospital Pharmacy 74, n.º 1 (15 de enero de 2021). http://dx.doi.org/10.4212/cjhp.v74i1.3035.
Texto completoTesis sobre el tema "Réseau cérébrovasculaire"
Chah, Ahmed. "Plateforme robotique et stratégie de navigation pour un microrobot magnétique attaché dans un réseau cérébrovasculaire à l'échelle humaine". Electronic Thesis or Diss., Bourges, INSA Centre Val de Loire, 2023. http://www.theses.fr/2023ISAB0004.
Texto completoA large number of treatments are now available for cerebral pathologies, in particular endovascular treatments. The aim in this case is to treat patients while minimizing the damage and risks associated with conventional surgical methods. The endovascular method is considered a low-risk treatment as the use of a catheter allowing clinicians to reach infected areas. However, this method is currently limited due to the size of the catheters in relation to the diameters of the arteries and the difficulty of manual guidance over a long distance, which increases the duration of the intervention, the exposure to X-rays and the failure rate of the intervention. The objective of this thesis is to develop the tools allowing an attached microrobots to navigate in the human cerebral network, using the magnetic power of a permanent magnet. For this, the in-depth understanding of the cerebral vascular environment as well as these physiological and geometric parameters is a preliminary step, in order to establish an effective navigation strategy. In addition, H-CMNP robotic platform was designed by the Artedone company and the PRISME laboratory to evaluate the guidance solutions studied. This platform was then integrated into a CathLab for evaluations on phantoms in a clinical environment and to prepare for the performance of in-vivo navigation tests on a pig
Rougé, Pierre. "Segmentation et modélisation du réseau vasculaire cérébral à partir d'images IRM". Electronic Thesis or Diss., Reims, 2025. http://www.theses.fr/2025REIMS001.
Texto completoCardio-neurovascular diseases are the leading cause of death worldwide and represent a major public health challenge. Imaging of the cerebral vascular network has significantly improved the diagnosis of these pathologies, and automated image processing algorithms now play a key role in assisting physicians. These algorithms generally rely on the segmentation of the cerebral vascular network. For this reason, automating this task has garnered significant interest.Despite advances, current automatic segmentation methods still suffer from major limitations. They struggle to preserve the topology and connectivity of vascular networks, and traditional segmentation metrics are not well-suited to the geometric complexity of the cerebrovascular network. Additionally, manual annotation, necessary for training these models, remains a time-consuming and tedious task, hindering the creation of annotated datasets.In this thesis, we focus on cerebrovascular segmentation from TOF MRA images. First, we propose a multitask model based on a topological cost function to improve the connectivity of segmentations. Additionally, we introduce a new metric, called ccDice, to quantify topological errors. Finally, we study the impact of annotation scarcity and noise, and we formulate recommendations for clinicians to improve annotation quality, thereby fostering the development of more efficient learning models in the future
Pariente, Jérémie. "Neuro-imagerie fonctionnelle, deux applications : récupération motrice après un AVC, déclin cognitif dans la maladie d'Alzheimer". Toulouse 3, 2004. http://www.theses.fr/2004TOU30180.
Texto completoThe aim of this work was to determine to which extent the cortical network activated during an activation paradigm was altered by serotonin reuptake inhibitor after a stroke or at an early stage of Alzheimer disease. We have shown in a double blinded placebo fMRI study that SSRIs -fluoxetine and paroxetine- were able to modulate both motricity and the motor cortical network in healthy volunteers and stroke patients. We have also investigated the neuronal substrate of the placebo effect -anterior cingulum, DLPFC and opioid system- in a PET study involving patients suffering of a chronic painful condition. Finally, we have compared in an event related fMRI study Alzheimer disease patients and matched controls while performing a paired associative learning task. We have shown that patients hyperactivated a cortical network in order to compensate for the cognitive decline
Vansimaeys, Camille. "Mesure écologique et analyse en réseau des liens entre dépression, anxiété, coping et qualité de vie après un accident vasculaire cérébral mineur". Thesis, Sorbonne Paris Cité, 2017. http://www.theses.fr/2017USPCB218/document.
Texto completoAbout 150 000 individuals are hospitalized after a stroke every year in France. Half of stroke survivors are expected to have complete neurological recovery and thus they will not suffer from any motor or cognitive impairment. Those cases are called minor strokes. Patients with minor stroke frequently experience an early hospital discharge and fitful neurological follow-ups. To date, we have few information regarding minor stroke's effect on the evolution of those patients' quality of life. Even though scientific literature is still insufficient, recent studies showed that anxiety and depression symptoms frequently occur after a minor stroke despite there being no functional impairment. Anxiety and depressive symptoms could impact patients' quality of life. Two main concerns of public health emerge from this hypothesis: screening and caring the determinants of the deterioration of minor stroke patients' quality of life. The present dissertation aims to study the evolution of quality of life after a minor stroke and to explore the role of anxiety and depression symptoms and the role of coping strategies. For this purpose, we have measured the quality of life of 68 patients at three times after the stroke: during initial hospitalization, after discharge and at four-month. We also assessed their anxiety and depression symptoms and coping strategies by combining two methods: standard ponctual assessment using classical scales and questionnaires on the one hand; and ecological momentary assessment using a smartphone application, on the other hand. Our results show a deterioration of the quality of life in numerous participants during the study. On the one hand, this deterioration is associated with the appearance of anxiety and depression symptoms after stroke. Network analysis suggests that somatic disturbance precedes the occurrence of psychological symptoms. Those results highlight the importance of paying attention and caring somatic symptoms despite the pronostic of neurophysiological recovery. On the other hand, our results suggest that coping could influence the evolution of quality of life after a minor stroke. Further studies are needed to confirm those results. Indeed, we have to understand the specificities of stress situations that individuals are facing after a minor stroke. According to this information, efficient coping could represent concrete therapeutic objectives which will be helpful to specify practice guidelines. Our work also contributes to a theoretical and methodological reflexion of psychopathology and health psychology science. On the theoretical hand, our study emphasizes the benefits of the network approach to psychopathology in somatic diseases. On the methodological hand, our study argues for the use of ecological momentary assessment methods in regard of the promising perspectives they could bring in psychological science
Obando, Forero Catalina. "Statistical graph models of temporal brain networks". Electronic Thesis or Diss., Sorbonne université, 2018. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2018SORUS454.pdf.
Texto completoThe emerging area of complex networks has led to a paradigm shift in neuroscience. Connectomes estimated from neuroimaging techniques such as electroencephalography (EEG), magnetoencephalography (MEG) and functional magnetic resonance imaging (fMRI) results in an abstract representation of the brain as a graph, which has allowed a major breakthrough in the understanding of topological and physiological properties of healthy brains in a compact and objective way. However, state of the art approaches often ignore the uncertainty and temporal nature of functional connectivity data. Most of the available methods in the literature have been developed to characterize functional brain networks as static graphs composed of nodes (brain regions) and links (FC intensity) by network metrics. As a consequence, complex networks theory has been mainly applied to cross-sectional studies referring to a single point in time and the resulting characterization ultimately represents an average across spatiotemporal neural phenomena. Here, we implemented statistical methods to model and simulate temporal brain networks. We used graph models that allow to simultaneously study how different network properties influence the emergent topology observed in functional connectivity brain networks. We successfully identified fundamental local connectivity mechanisms that govern properties of brain networks. We proposed a temporal adaptation of such fundamental connectivity mechanisms to model and simulate physiological brain network dynamic changes. Specifically, we exploited the temporal metrics to build informative temporal models of recovery of patients after stroke
Baronnet-Chauvet, Flore. "IRM fonctionnelle au repos après un accident ischémique : de la connectivité fonctionnelle au handicap". Thesis, Paris 6, 2016. http://www.theses.fr/2016PA066229/document.
Texto completoResting-state functional MRI is increasingly used to investigate brain networks in stroke patients. Most studies focused specifically on motor, attentional and language deficits. Here we have investigated the relationships between global post-stroke disability and functional connectivity of seven major cortical networks in subacute ischemic stroke patients. We have studied 50 patients with first-ever unilateral hemispheric stroke (29 men, 22 left strokes, 57 ± 14 years) with a median post-stroke delay of 4.5 weeks and 75 healthy volunteers (27 men, 55 ± 15 years). Seven cortical networks were characterized with a seed-based approach and for each network we distinguished inter-hemispheric, ipsi- and contra-lesional functional connectivity. The 22 patients without disability (modified Rankin’s scale 0-1) had normal functional connectivity in all networks whereas the 28 disabled patients had widespread and bilateral decreases in functional connectivity explaining 22 % of the variance. Secondary analyses showed that abnormalities mainly differentiate no disability from mild disability and may predominate in default-mode and top-down control networks. We have computed for each subject a functional connectivity index that summarizes all these abnormalities. This simple tool was strongly predictive of residual disability with a specificity of 91% and a sensitivity of 86%. In conclusion, widespread and bilateral alterations in cortical connectivity occur in disabled subacute stroke patients, whereas normal indicate excellent global outcome