A5050771726- Functional Brain Connectivity Studies
- Advanced Neuroimaging Techniques and Applications
- Stroke Rehabilitation and Recovery
- Neural and Behavioral Psychology Studies
- Neural dynamics and brain function
- Advanced MRI Techniques and Applications
- Dementia and Cognitive Impairment Research
- Genetic Associations and Epidemiology
- EEG and Brain-Computer Interfaces
- Schizophrenia research and treatment
- Health, Environment, Cognitive Aging
- Fetal and Pediatric Neurological Disorders
- Acute Ischemic Stroke Management
- Neurobiology of Language and Bilingualism
- Cerebrovascular and Carotid Artery Diseases
- Reading and Literacy Development
- Spatial Neglect and Hemispheric Dysfunction
- Transcranial Magnetic Stimulation Studies
- Neuroscience and Neuropharmacology Research
- Birth, Development, and Health
- SARS-CoV-2 and COVID-19 Research
- MRI in cancer diagnosis
- Visual perception and processing mechanisms
- Multiple Sclerosis Research Studies
- Genetics and Neurodevelopmental Disorders
Oslo University Hospital
2015-2024
University of Oslo
2015-2024
Weatherford College
2024
Sunnaas sykehus
2015-2020
University of Southern California
2020
Fujifilm (Japan)
2020
The University of Melbourne
2020
Observatoire Régional de la Santé et du Social
2015
Klinik und Poliklinik für Augenheilkunde Universitätsklinikum Regensburg
2010
Ministère des Solidarités et de la Santé
2009
The macro- and microstructural architecture of human brain white matter undergoes substantial alterations throughout development ageing. Most our understanding the spatial temporal characteristics these lifespan adaptations come from magnetic resonance imaging (MRI), including diffusion MRI (dMRI), which enables visualisation quantification with unprecedented sensitivity detail. However, some notable exceptions, previous studies have relied on cross-sectional designs, limited age ranges,...
Abstract The hippocampus is a heterogeneous structure, comprising histologically distinguishable subfields. These subfields are differentially involved in memory consolidation, spatial navigation and pattern separation, complex functions often impaired individuals with brain disorders characterized by reduced hippocampal volume, including Alzheimer’s disease (AD) schizophrenia. Given the structural functional heterogeneity of formation, we sought to characterize subfields’ genetic...
Multimodal imaging enables sensitive measures of the architecture and integrity human brain, but high-dimensional nature advanced brain features poses inherent challenges for analyses interpretations. Multivariate age prediction reduces dimensionality to one biologically informative summary measure with potential assessing deviations from normal lifespan trajectories. A number studies documented remarkably accurate prediction, differential trajectories cognitive sensitivity distinct tissue...
Abstract The deviation between chronological age and predicted using brain MRI is a putative marker of overall health. Age prediction based on structural data shows high accuracy in common disorders. However, aging complex heterogenous, both terms individual differences the underlying biological processes. Here, we implemented multimodal model to estimate different combinations cortical area, thickness sub‐cortical volumes, subcortical T1/T2‐weighted ratios, cerebral blood flow (CBF)...
Multiple sclerosis (MS) is an inflammatory disorder of the central nervous system. By combining longitudinal MRI-based brain morphometry and age estimation using machine learning, we tested hypothesis that MS patients have higher relative to chronological than healthy controls (HC) rate aging in associated with clinical course severity. Seventy-six [71% females, mean 34.8 years (range 21-49) at inclusion] were examined MRI three time points a total follow up period 4.4 (±0.4 years). We used...
Abstract The structure and integrity of the ageing brain is interchangeably linked to physical health, cardiometabolic risk factors (CMRs) are associated with dementia other disorders. In this mixed cross‐sectional longitudinal study (interval mean = 19.7 months), including 790 healthy individuals (mean age 46.7 years, 53% women), we investigated CMRs health indicators anthropometric measures, lifestyle factors, blood biomarkers in relation using MRI‐based morphometry diffusion tensor...
There is an intimate body-brain connection in ageing, and obesity a key risk factor for poor cardiometabolic health neurodegenerative conditions. Although research has demonstrated deleterious effects of on brain structure function, the majority studies have used conventional measures such as waist-to-hip ratio, waist circumference, body mass index. While sensitive to gross features composition, global anthropometric fail describe regional differences fat distribution composition. The sample...
Cognitive deficits are important predictors for outcome, independence and quality of life after stroke, but often remain unnoticed unattended because other impairments more evident. Computerized cognitive training (CCT) is among the candidate interventions that may alleviate difficulties, evidence supporting its feasibility effectiveness scarce, partly due to lack tools outcome prediction monitoring. Magnetic resonance imaging (MRI) provides markers disease monitoring prediction. By...
Maternal brain adaptations occur in response to pregnancy, but little is known about how parity impacts white matter and ageing trajectories later life. Utilising global regional age prediction based on multi-shell diffusion-weighted imaging data, we investigated the association between previous childbirths 8,895 women UK Biobank cohort (age range = 54-81 years). The results showed that number of was negatively associated with age, potentially indicating a protective effect Both grey...
Abstract Machine learning can be used to define subtypes of psychiatric conditions based on shared biological foundations mental disorders. Here we analyzed cross-sectional brain images from 4,222 individuals with schizophrenia and 7038 healthy subjects pooled across 41 international cohorts the ENIGMA, non-ENIGMA public datasets. Using Subtype Stage Inference (SuStaIn) algorithm, identify two distinct neurostructural subgroups by mapping spatial temporal ‘trajectory’ gray matter change in...
Background: Reading impairment is the major learning disability in childhood. Most previous studies were done on English-speaking populations. Yet, it has been argued that English writing system exacerbates phonological deficits because of its exceptionally high inconsistency between spelling and sound. Thus, cross-language are needed to explore universal versus language-specific factors underlying reading impairment. The goal present research was study biological, socioeconomic, cognitive,...
Abstract Introduction Multiple object tracking ( MOT ) is a powerful paradigm for measuring sustained attention. Although previous fMRI studies have delineated the brain activation patterns associated with and documented reduced performance in aging, age‐related effects on during not been characterized. In particular, it unclear if task‐related of different networks correlated, also this coordination between activations within shows differential age. Methods We obtained data at two load...
Abstract Post‐stroke fatigue (PSF) is prevalent among stroke patients, but its mechanisms are poorly understood. Many patients with PSF experience cognitive difficulties, studies aiming to identify correlates of have been largely inconclusive. With the aim characterizing relationship between subjective and attentional function, we collected behavioral data using attention network test (ANT) self‐reported scores severity scale (FSS) from 53 patients. In order evaluate utility added value...
Stroke patients commonly suffer from post stroke fatigue (PSF). Despite a general consensus that brain perturbations constitute precipitating event in the multifactorial etiology of PSF, specific predictive value conventional lesion characteristics such as size and localization remains unclear. The current study represents novel approach to assess neural correlates PSF chronic patients. While previous research has focused primarily on location or size, with mixed inconclusive results, we...
Abstract Intracranial volume (ICV) is frequently used in volumetric magnetic resonance imaging (MRI) studies, both as a covariate and variable of interest. Findings associations between ICV age have varied, potentially due to differences estimation methods. Here, we compared five commonly methods their with age. T1‐weighted cross‐sectional MRI data was included for 651 healthy individuals recruited through the NORMENT Centre (mean = 46.1 years, range 12.0–85.8 years) 2410 UK Biobank study...
Sequalae following stroke represents a significant challenge in current rehabilitation. The location and size of focal lesions are only moderately predictive the diverse cognitive outcome after stroke. One explanation building on recent work brain networks proposes that consequences caused by damages to anatomically distributed supporting cognition rather than specific lesion locations.
Abstract Human adolescence is a period of rapid changes in cognition and goal-directed behavior, it constitutes major transitional phase towards adulthood. One the mechanisms suggested to underlie protracted maturation functional brain networks, increased network integration segregation enhancing neural efficiency. Importantly, increasing coordinated interplay throughout development mediated through hubs, which are highly connected areas be pivotal nodes for regulation activity. To elucidate...
Numerous genetic and environmental factors contribute to psychiatric disorders other brain disorders. Common risk likely converge on biological pathways regulating the optimization of structure function across lifespan. Here, using structural magnetic resonance imaging machine learning, we estimated gap between age chronological in 36,891 individuals aged 3 96 years, including with different We show that several are associated accentuated aging, strongest effects schizophrenia, multiple...
Maintaining high levels of daily activity and physical capability have been proposed as important constituents to promote healthy brain cognitive aging. Studies investigating the associations between health in late life have, however, mainly based on self-reported data or measures designed for clinical populations. In current study, we examined cross-sectional activity, recorded by an ankle-positioned accelerometer seven days, (grip strength, postural control, walking speed), neuroimaging...