Norwegian University of Science and Technology — Biomedical Watch V2

Traitements12programmes

Essais4liés

Publications5liées

SourceDBlocale

Traitements

12

Molécule	Indication / population	Phase	Objectif	Pays	Résultat
64-channel EEGThe goal of this study is to learn more about the changes in the brains of patients with cognitive impairment (MCI) and Alzheimer's Disease (AD). The main questions the study aims to answer are: 1. What findings can be used to earlier detect patients that will develop Alzheimers? 2. Which differences are seen between healthy and cognitively impaired patients? 3. Which differences are seen between patients with Alzheimers disease? Participants will undergo: * Cognitive tests * Magnetic resonance imaging (MRI) * Electroencephalography (EEG) * Blood sample collection * Fecal sample collection * A randomized group will undergo polysomnography analysis.	Alzheimer	À vérifier	À vérifier	Norway	À vérifier
7T MRISemantic AD	Alzheimer	À vérifier	À vérifier	Norway	À vérifier
Blood samplesSemantic AD	Alzheimer	À vérifier	À vérifier	Norway	À vérifier
Fecal samplesThe goal of this study is to learn more about the changes in the brains of patients with cognitive impairment (MCI) and Alzheimer's Disease (AD). The main questions the study aims to answer are: 1. What findings can be used to earlier detect patients that will develop Alzheimers? 2. Which differences are seen between healthy and cognitively impaired patients? 3. Which differences are seen between patients with Alzheimers disease? Participants will undergo: * Cognitive tests * Magnetic resonance imaging (MRI) * Electroencephalography (EEG) * Blood sample collection * Fecal sample collection * A randomized group will undergo polysomnography analysis.	Alzheimer	À vérifier	À vérifier	Norway	À vérifier
MRI scanningEpilepsy is a major neurological disorder, affecting of the order of 0.5 to 1% of the population. It is a very invalidating disease, with high impact on quality of life. In a large proportion of cases, medication cannot prevent seizures; surgical removal of the regions responsible for seizures is then the only way to cure patients. However, results crucially depend on the correct delineation of the epileptogenic zone. In this context, computational modeling, under the form of a "virtual brain" is a powerful tool to investigate the impact of different configurations of the sources on the measures, in a well-controlled environment. In this project, the simulate in a biologically realistic way MEG (Magnetoencephalography) and EEG (Electroencephalography) fields produced by different configurations of brain sources, which will differ in terms of spatial and dynamic characteristics will be offered to participants. The research hypothesis is that computational and biophysical models can bring crucial information to clinically interpret the signals measured by MEG and EEG. In particular, the hypothesis can help to efficiently address some complementary questions faced by epileptologists when analyzing electrophysiological data. The strategy will be three-fold: i) Construct a virtual brain models with both dynamic aspects (reproducing both hyperexcitability and hypersynchronisation alterations observed in the epileptic brain) and a realistic geometry based on actual tractography measures performed in patients ii) Explore the parameter space though large-scale simulations of source configurations, using parallel computing implemented on a computer cluster. iii) Confront the results of these simulations to simultaneous recordings of EEG, MEG and intracerebral EEG (stereotactic EEG, stereoelectroencephalography (SEEG)). The models will be tuned on SEEG signals, and tested versus the surface signals in order to validate the ability of the models to represent real MEG and EEG signals. The project constitutes a translational effort from theoretical neuroscience and mathematics towards clinical investigation. A first output of the project will be a database of simulations, which will permit in a given situation to assess the number of configurations that could have given rise to the observed signals in EEG, MEG and SEEG. A second - and major - output of the project will be to give the clinician access to a software platform which will allow for testing possible configurations of hyperexcitable regions in a user-friendly way. Moreover, representative examples will be made available to the community through a website, which will permit its use in future studies aimed at confronting the results of different signal processing methods on the same 'ground truth' data.	Alzheimer, Épilepsie	À vérifier	À vérifier	Norway	À vérifier
Nurse Intervention TrialThis randomized open-label prospective study focus on headache patients initiating preventive treatment, where the treating physician identifies a need for follow-up visits in specialized healthcare. The study will clarify whether the implementation (compliance) and overall satisfaction of the patient are better with follow-up by a headache nurse compared to standard follow-up. Patients with signed written consent will be randomised to either group a: Telephone calls from nurse after two and 6 week or B. Patient-initiated follow-up by their general practitioner.	Migraine	Non applicable	À vérifier	Norway	À vérifier
PolysomnographyThe goal of this study is to learn more about the changes in the brains of patients with cognitive impairment (MCI) and Alzheimer's Disease (AD). The main questions the study aims to answer are: 1. What findings can be used to earlier detect patients that will develop Alzheimers? 2. Which differences are seen between healthy and cognitively impaired patients? 3. Which differences are seen between patients with Alzheimers disease? Participants will undergo: * Cognitive tests * Magnetic resonance imaging (MRI) * Electroencephalography (EEG) * Blood sample collection * Fecal sample collection * A randomized group will undergo polysomnography analysis.	Alzheimer	À vérifier	À vérifier	Norway	À vérifier
Stool samplesSemantic AD	Alzheimer	À vérifier	À vérifier	Norway	À vérifier
MRI scanningEpilepsy is a major neurological disorder, affecting of the order of 0.5 to 1% of the population. It is a very invalidating disease, with high impact on quality of life. In a large proportion of cases, medication cannot prevent seizures; surgical removal of the regions responsible for seizures is then the only way to cure patients. However, results crucially depend on the correct delineation of the epileptogenic zone. In this context, computational modeling, under the form of a "virtual brain" is a powerful tool to investigate the impact of different configurations of the sources on the measures, in a well-controlled environment. In this project, the simulate in a biologically realistic way MEG (Magnetoencephalography) and EEG (Electroencephalography) fields produced by different configurations of brain sources, which will differ in terms of spatial and dynamic characteristics will be offered to participants. The research hypothesis is that computational and biophysical models can bring crucial information to clinically interpret the signals measured by MEG and EEG. In particular, the hypothesis can help to efficiently address some complementary questions faced by epileptologists when analyzing electrophysiological data. The strategy will be three-fold: i) Construct a virtual brain models with both dynamic aspects (reproducing both hyperexcitability and hypersynchronisation alterations observed in the epileptic brain) and a realistic geometry based on actual tractography measures performed in patients ii) Explore the parameter space though large-scale simulations of source configurations, using parallel computing implemented on a computer cluster. iii) Confront the results of these simulations to simultaneous recordings of EEG, MEG and intracerebral EEG (stereotactic EEG, stereoelectroencephalography (SEEG)). The models will be tuned on SEEG signals, and tested versus the surface signals in order to validate the ability of the models to represent real MEG and EEG signals. The project constitutes a translational effort from theoretical neuroscience and mathematics towards clinical investigation. A first output of the project will be a database of simulations, which will permit in a given situation to assess the number of configurations that could have given rise to the observed signals in EEG, MEG and SEEG. A second - and major - output of the project will be to give the clinician access to a software platform which will allow for testing possible configurations of hyperexcitable regions in a user-friendly way. Moreover, representative examples will be made available to the community through a website, which will permit its use in future studies aimed at confronting the results of different signal processing methods on the same 'ground truth' data.	Épilepsie	NA	À vérifier	France	À vérifier
7T MRISemantic AD	Alzheimer	À vérifier	À vérifier	Norway	À vérifier
MRI scanningEpilepsy is a major neurological disorder, affecting of the order of 0.5 to 1% of the population. It is a very invalidating disease, with high impact on quality of life. In a large proportion of cases, medication cannot prevent seizures; surgical removal of the regions responsible for seizures is then the only way to cure patients. However, results crucially depend on the correct delineation of the epileptogenic zone. In this context, computational modeling, under the form of a "virtual brain" is a powerful tool to investigate the impact of different configurations of the sources on the measures, in a well-controlled environment. In this project, the simulate in a biologically realistic way MEG (Magnetoencephalography) and EEG (Electroencephalography) fields produced by different configurations of brain sources, which will differ in terms of spatial and dynamic characteristics will be offered to participants. The research hypothesis is that computational and biophysical models can bring crucial information to clinically interpret the signals measured by MEG and EEG. In particular, the hypothesis can help to efficiently address some complementary questions faced by epileptologists when analyzing electrophysiological data. The strategy will be three-fold: i) Construct a virtual brain models with both dynamic aspects (reproducing both hyperexcitability and hypersynchronisation alterations observed in the epileptic brain) and a realistic geometry based on actual tractography measures performed in patients ii) Explore the parameter space though large-scale simulations of source configurations, using parallel computing implemented on a computer cluster. iii) Confront the results of these simulations to simultaneous recordings of EEG, MEG and intracerebral EEG (stereotactic EEG, stereoelectroencephalography (SEEG)). The models will be tuned on SEEG signals, and tested versus the surface signals in order to validate the ability of the models to represent real MEG and EEG signals. The project constitutes a translational effort from theoretical neuroscience and mathematics towards clinical investigation. A first output of the project will be a database of simulations, which will permit in a given situation to assess the number of configurations that could have given rise to the observed signals in EEG, MEG and SEEG. A second - and major - output of the project will be to give the clinician access to a software platform which will allow for testing possible configurations of hyperexcitable regions in a user-friendly way. Moreover, representative examples will be made available to the community through a website, which will permit its use in future studies aimed at confronting the results of different signal processing methods on the same 'ground truth' data.	Alzheimer	À vérifier	À vérifier	Norway	À vérifier
Nurse Intervention TrialThis randomized open-label prospective study focus on headache patients initiating preventive treatment, where the treating physician identifies a need for follow-up visits in specialized healthcare. The study will clarify whether the implementation (compliance) and overall satisfaction of the patient are better with follow-up by a headache nurse compared to standard follow-up. Patients with signed written consent will be randomised to either group a: Telephone calls from nurse after two and 6 week or B. Patient-initiated follow-up by their general practitioner.	Migraine	Non applicable	À vérifier	Norway	À vérifier

Essais cliniques

4

Molécule	Indication / population	Phase	NCT	Titre	Statut
Nurse Intervention Trial	Migraine	Non applicable	NCT06200480	Nurse Intervention Trial	TERMINATED
MRI scanning	Alzheimer	À vérifier	NCT06448403	MultiAD — Multimodal Assesment of Alzheimer Patients	RECRUITING
7T MRI	Alzheimer	À vérifier	NCT07118137	MemAD — Memory Deterioration in Alzheimer Disease	RECRUITING
MRI scanning	Épilepsie	NA	NCT02603640	VIBRATIONS — " Virtual Brain "-Based Interpretation of Electrophysiological Signals in Epilepsy	COMPLETED

Publications

5

Molécule	Indication / population	Titre	Journal	Date
MRI scanning		Regional homogeneity analysis of resting-state muscle fMRI for detection of contraction-related activity: a pilot feasibility study.	European journal of radiology
MRI scanning		How cognition and hearing-related measures covary with hippocampal subfield features from structural MRI in younger and older adults.	Neurobiology of aging
MRI scanning		Systematic comparison of MPRAGE and BRAVO T1-weighted MRI pulse sequences and brain morphometry in high-risk young adults.	Magnetic resonance imaging
MRI scanning		U-HRCT and MRI-Based Indicators for Limited Mouth Opening in Patients With Temporomandibular Disorders.	International dental journal
MRI scanning		Multi-Frequency Feature Guided Progressive Divide-and-Conquer Network for Accelerated MRI Reconstruction.	Journal of imaging informatics in medicine