A5081503162- Advanced MRI Techniques and Applications
- Functional Brain Connectivity Studies
- Advanced Neuroimaging Techniques and Applications
- Electron Spin Resonance Studies
- Neural dynamics and brain function
- Advanced NMR Techniques and Applications
- EEG and Brain-Computer Interfaces
- Machine Learning in Healthcare
- Health, Environment, Cognitive Aging
- Dementia and Cognitive Impairment Research
- Cognitive Abilities and Testing
- Advanced Memory and Neural Computing
- Blind Source Separation Techniques
- Blood Pressure and Hypertension Studies
University of Bergen
2011-2024
Haukeland University Hospital
2022-2023
Independent component analysis (ICA) is a powerful method for source separation and has been used decomposition of EEG, MRI, concurrent EEG-fMRI data. ICA not naturally suited to draw group inferences since it non-trivial problem identify order components across individuals. One solution this create aggregate data containing observations from all subjects, estimate single set then back-reconstruct in the individual Here, we describe such group-level temporal model event related EEG. When EEG...
Brain age, the estimation of a person's age from magnetic resonance imaging (MRI) parameters, has been used as general indicator health. The marker requires however further validation for application in clinical contexts. Here, we show how brain predictions perform same individual at various time points and validate our findings with age-matched healthy controls.We densely sampled T1-weighted MRI data four individuals (from two datasets) to observe corresponds is influenced by acquisition...
Introduction. Cognitive aging is associated with a decline on measures of fluid intelligence (gF), whereas crystallized (gC) tends to remain stable. In the present study we asked if depressive symptoms might contribute explain gF in sample healthy, middle-aged and older adults. Method. The Norwegian included 83 females 42 males (M = 60, SD 7.9 yrs). was calculated from factor-analysis, including tests matrix reasoning (WASI), memory function (California Verbal Learning Test), processing...
Abstract Magnetic resonance spectroscopy (MRS) is the primary method that can measure levels of metabolites in brain vivo. To achieve its potential clinical usage, reliability measurement requires further articulation. Although there are many studies investigate gamma‐aminobutyric acid (GABA), comparatively few have investigated other metabolites, such as glutamate (Glu), N‐acetyl‐aspartate (NAA), creatine (Cr), phosphocreatine (PCr), or myo‐inositol (mI), which all play a significant role...
Abstract T1-weighted (T1w) imaging is widely used to examine brain structure based on image-derived phenotypes (IDPs) such as cortical thickness, surface area, and volumes. The reliability of these IDPs has been extensively explored, mainly focusing the inter-subject variations, whereas stability within-subject variations often overlooked. Additionally, how environmental factors time day daylight hours impact structural poorly understood. Therefore, we aimed address T1w-derived explore...
Abstract Populational brain imaging methods based on group averages provide valuable insights into the general functions of brain. However, they often overlook inherent inter- and intra-subject variability, limiting our understanding individual differences. To address this limitation, researchers have turned to big datasets deep datasets. Big enable exploration inter-subject variations, while datasets, involving repeated scanning multiple subjects over time, offer detailed variability....
Our understanding of the cognitive functions human brain has tremendously benefited from population functional Magnetic Resonance Imaging (fMRI) studies in last three decades. The reliability and replicability fMRI results, however, have been recently questioned, which named replication crisis. Sufficient statistical power is fundamental to alleviate crisis, by either "going big," leveraging big datasets, or small," densely scanning several participants. Here we reported a small" project...
Abstract Introduction Brain age, the estimation of a person’s age from magnetic resonance imaging (MRI) parameters, has been used as general indicator health. The marker requires however further validation for application in clinical contexts. Here, we show how brain predictions perform same individual at various time points and validate our findings with age-matched healthy controls. Methods We densly sampled T1-weighted MRI data four individuals (from two datasets) to observe corresponds...
Abstract Magnetic resonance spectroscopy (MRS) is the primary method that can measure levels of metabolites in brain vivo. To achieve its potential clinical usage, reliability measurement requires further articulation. Although there are many studies investigate gamma-aminobutyric acid (GABA), comparatively few have investigated other metabolites, such as glutamate (Glu), N-acetyl-aspartate (NAA), creatine (Cr), phosphocreatine (PCr), or myo-inositol (mI), which all play a significant role...