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Dobriţa, Alexandra (author)Motivated by the desire to bring intelligent processing at the Edge, enabling online learning on resource- and latency-constrained embedded devices has become increasingly appealing, as it has the potential to tackle a wide range of challenges: on the one hand, it can deal with on-the-fly adaptation to fast sensor-generated streams of data under...master thesis 2024
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Gommers, Emma (author)During a brain tumour resection, a neurosurgeon is constantly navigating a delicate balance between resecting as much of the tumour as possible, while avoiding any damage to healthy brain tissue. This challenge is particularly difficult when the tumour is located in a critical functional area, involved in for example language or motor function....master thesis 2024
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Li, J. (author)Around 10% of the population will have to go through a catheterization procedure for the treatment of a cardiovascular disease at a certain stage of their lives. During such a procedure, smart catheters will be the "eyes and ears" of the surgeons, significantly improving the diagnosis and treatment. However, there have been very limited...doctoral thesis 2024
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de Moel, Lisanne (author)Introduction:<br/>Chronic Pain (CP) presents a complex and prevalent issue that significantly affects individuals and society. Exploring the complexities of CP involves analyzing Functional Connectivity (FC), a process that identifies how different brain regions communicate across distances. Magnetoencephalography (MEG) is particularly effective...master thesis 2024
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Hueber, Paul (author)Designing processors for implantable closed-loop neuromodulation systems presents a formidable challenge owing to the constrained operational environment, which requires low latency and high energy efficacy. Previous benchmarks have provided limited insights into power consumption and latency. However, this study introduces algorithmic metrics...master thesis 2024
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Rainey, S. (author)This article examines the idea of mind-reading technology by focusing on an interesting case of applying a large language model (LLM) to brain data. On the face of it, experimental results appear to show that it is possible to reconstruct mental contents directly from brain data by processing via a chatGPT-like LLM. However, the author argues...journal article 2024
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Miedema, Rene (author), Strydis, C. (author)IntroductionIn-silico simulations are a powerful tool in modern neuroscience for enhancing our understanding of complex brain systems at various physiological levels. To model biologically realistic and detailed systems, an ideal simulation platform must possess: (1) high performance and performance scalability, (2) flexibility, and (3) ease of...journal article 2024
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Plat, Benthe (author)This report delves into the challenging process of translating complex tests from the Child Brain Lab into a design that is both accessible and engaging for children. The Child Brain Lab, part of the Erasmus MC Sophia Children’s Hospital, conducts research on brain development to gain a better understanding of the course of brain disorders and...master thesis 2023
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- Robles, Tahisa (author) master thesis 2023
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Hemmes, Charlotte (author)The Child Brain Lab (CBL), a part of the Paediatric Brain Centre at Sophia Children’s Hospital within the Erasmus Medical Centre, is a scientific research and testing facility dedicated to children with brain conditions (CB). These children frequently experience isolation and lack of social contact due to their situations. These observations...master thesis 2023
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Zwinkels, Anouk (author)<b>Introduction</b>: Deep brain stimulation (DBS) is an important therapeutic option for various neurological diseases. For certain indications the optimal target cannot be identified on structural magnetic resonance imaging (MRI), but can be visualized with tractography. A recent improvement for clinical practice is the probabilistic...master thesis 2023
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Muller, Marjolein (author)Introduction: Over the past two decades deep brain stimulation (DBS) has emerged as an important therapeutic option for Parkinson’s disease (PD). However, the current DBS programming method, monopolar review (MPR), is time-consuming, requires highly trained personnel and causes discomfort for patients. This study aimed to predict the optimal...master thesis 2023
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Kyriazis, Ioannis (author)Patients with neuromuscular diseases that are unable to speak, but whose cognitive ability has been maintained, can be benefited from Brain Computer Interfaces (BCIs). The decoding of inner (covert) speech from EEGs consists of one of the state of the art methods that aim to tackle this issue. High variability between subjects, as well as low...master thesis 2023
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Murgoci, Vlad (author)This study investigates the relationship between deep learning models and the human brain, specifically focusing on the prediction of brain activity in response to static visual stimuli using functional magnetic resonance imaging (fMRI). By leveraging intermediate outputs of pre-trained convolutional neural networks (CNNs) with feature-weighted...bachelor thesis 2023
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Kuurstra, Jessica (author)Purpose - The purpose of the research is to use existing data from literature, collect qualitative and quantitative data from experts in the luxury industry to discover what the optimal workplace is for left and right brained talent.<br/><br/>Methodology - This research follows the explanatory sequential mixed method design, presented by Blaikie...master thesis 2023
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Michalica, Thomas (author)3D-multi-electrode arrays (3D-MEAs) are needed to overcome the limitations of 2D-multi-electrode arrays (2D-MEAs) and enable the electrical characterization of 3D neuronal cultures in in vitro brain models, advancing the understanding of neurological disorders and paving the way to personalized medicine. The aim of this thesis was to overcome...master thesis 2023
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van Vliet, Sjoerd (author)Different paradigms can be used to evoke brainwaves. These brainwaves can be interpreted as commands that can be used to control different applications. These frameworks that interpret the brainwaves are called brain-computer interfaces. Steady-state visually evoked potentials is one of these paradigms that uses external stimuli flickering at...master thesis 2023
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Shi, S. (author), Cheng, Xiaodong (author), Van den Hof, Paul M.J. (author)Identifiability of a single module in a network of transfer functions is determined by whether a particular transfer function in the network can be uniquely distinguished within a network model set, on the basis of data. Whereas previous research has focused on the situations that all network signals are either excited or measured, we develop...journal article 2023
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Perinajová, R. (author), van Ooij, Pim (author), Kenjeres, S. (author)A long-time exposure to lack of oxygen (hypoxia) in some regions of the cerebrovascular system is believed to be one of the causes of cerebral neurological diseases. In the present study, we show how a combination of magnetic resonance imaging (MRI) and computational fluid dynamics (CFD) can provide a noninvasive alternative for studying...journal article 2023
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Generowicz, Bastian S. (author), Dijkhuizen, Stephanie (author), Bosman, Laurens W.J. (author), De Zeeuw, Chris I. (author), Koekkoek, Sebastiaan K.E. (author), Kruizinga, P. (author)Functional ultrasound (fUS) using a 1-D-array transducer normally is insufficient to capture volumetric functional activity due to being restricted to imaging a single brain slice at a time. Typically, for volumetric fUS, functional recordings are repeated many times as the transducer is moved to a new location after each recording, resulting...journal article 2023