Background: Deep Brain Stimulation (DBS) is increasingly used in pediatric patients affected by isolated dystonia, with excellent results. Despite well documented long-term effects on motor functioning, information on quality of life and social adaptation is almost lacking.
Objectives: The present study aims to explore the experience of illness and the relation with the device in adult patients suffering from dystonia who underwent DBS surgery in pediatric age.
Methods: A narrative inquiry approach was used to collect patients' narratives of their experience with dystonia and DBS stimulator. A written interview was administered to 8 patients over 18 years old with generalized isolated dystonia who had undergone pallidal DBS implantation in childhood. A thematic analysis was realized to examine the narratives collected.
Results: Five main themes emerged: "relationship with the disease", "experience related to DBS procedure", "relationship with one's own body", "fears", "thoughts about future". Despite a general satisfaction in relation to DBS intervention, some patients expressed difficulties, such as the acceptance of changes in one's own body, concerns and fears regarding the device and the future, also considering the critical phase of transition from childhood to adulthood.
Conclusions: These results suggest that further research is needed to understand the contribution of psychological, as much as medical, aspects to the overall outcome of the intervention. The present explorative study encourages a deeper investigations of psychological aspects of patients, in order to plan a tailored care path and to decide whether to suggest a psychological support, both before and after the intervention.
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http://dx.doi.org/10.1016/j.ejpn.2020.02.010 | DOI Listing |
Sci Rep
January 2025
Department of Electrical Electronical Engineering, Yaşar University, Bornova, İzmir, Turkey.
We aimed to build a robust classifier for the MGMT methylation status of glioblastoma in multiparametric MRI. We focused on multi-habitat deep image descriptors as our basic focus. A subset of the BRATS 2021 MGMT methylation dataset containing both MGMT class labels and segmentation masks was used.
View Article and Find Full Text PDFConscious Cogn
January 2025
Humane Technology Lab, Catholic University of Sacred Heart, Milan, Italy; Applied Technology for Neuro-Psychology Lab., Istituto Auxologico Italiano IRCCS, Milan, Italy. Electronic address:
Psychedelic drugs offer valuable insights into consciousness, but disentangling their causal effects on perceptual and high-level cognition is nontrivial. Technological advances in virtual reality (VR) and machine learning have enabled the immersive simulation of visual hallucinations. However, comprehensive experimental data on how these simulated hallucinations affects high-level human cognition is lacking.
View Article and Find Full Text PDFFood Chem
January 2025
State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Key Laboratory of Animal Protein Deep Processing Technology of Zhejiang, Zhejiang-Malaysia Joint Research Laboratory for Agricultural Product Processing and Nutrition, College of Food Science and Engineering, Ningbo University, Ningbo, Zhejiang, China. Electronic address:
Dietary polyphenols represent a diverse group of plant-derived compounds known for their extensive biological activities, offering significant promise in the prevention and treatment of various chronic illnesses. Despite their potential, advancements in their research have been curtailed by challenges in structural analysis and limitations in existing research models. This review marks a pioneering exploration into how bile acids, gut microbiota, and the gut-brain axis serve as conduits through which dietary polyphenols can exert therapeutic effects on Inflammatory Bowel Disease (IBD).
View Article and Find Full Text PDFComput Biol Med
January 2025
Emerging Technologies Research Lab (ETRL), College of Computer Science and Information Systems, Najran University, Najran, 61441, Saudi Arabia; Department of Computer Science, College of Computer Science and Information Systems, Najran University, Najran, 61441, Saudi Arabia. Electronic address:
- Brain tumors (BT), both benign and malignant, pose a substantial impact on human health and need precise and early detection for successful treatment. Analysing magnetic resonance imaging (MRI) image is a common method for BT diagnosis and segmentation, yet misdiagnoses yield effective medical responses, impacting patient survival rates. Recent technological advancements have popularized deep learning-based medical image analysis, leveraging transfer learning to reuse pre-trained models for various applications.
View Article and Find Full Text PDFNat Commun
January 2025
Beijing Advanced Innovation Center for Integrated Circuits, School of Integrated Circuits, Peking University, Beijing, China.
Compute-in-memory based on resistive random-access memory has emerged as a promising technology for accelerating neural networks on edge devices. It can reduce frequent data transfers and improve energy efficiency. However, the nonvolatile nature of resistive memory raises concerns that stored weights can be easily extracted during computation.
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