Knut K. Kolskår
A5015169068- Functional Brain Connectivity Studies
- Advanced Neuroimaging Techniques and Applications
- Stroke Rehabilitation and Recovery
- Advanced MRI Techniques and Applications
- Neural dynamics and brain function
- Genetic Associations and Epidemiology
- Dementia and Cognitive Impairment Research
- Neural and Behavioral Psychology Studies
- Spatial Neglect and Hemispheric Dysfunction
- EEG and Brain-Computer Interfaces
- Health, Environment, Cognitive Aging
- Fetal and Pediatric Neurological Disorders
- Transcranial Magnetic Stimulation Studies
- Face Recognition and Perception
- Visual perception and processing mechanisms
- Acute Ischemic Stroke Management
- Neurobiology of Language and Bilingualism
- Schizophrenia research and treatment
- Cerebrovascular and Carotid Artery Diseases
- Multiple Sclerosis Research Studies
- Birth, Development, and Health
- Genomic variations and chromosomal abnormalities
- Systemic Lupus Erythematosus Research
- Genetics and Neurodevelopmental Disorders
- Ultrasound Imaging and Elastography
Sunnaas sykehus
2016-2024
Oslo University Hospital
2016-2024
University of Oslo
2016-2024
Warneford Hospital
2020
University of Oxford
2020
Maastricht University
2020
Washington University in St. Louis
2020
Stockholm County Council
2020
Karolinska Institutet
2020
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...
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...
Carriers of large recurrent copy number variants (CNVs) have a higher risk developing neurodevelopmental disorders. The 16p11.2 distal CNV predisposes carriers to e.g., autism spectrum disorder and schizophrenia. We compared subcortical brain volumes 12 deletion duplication 6882 non-carriers from the large-scale Magnetic Resonance Imaging collaboration, ENIGMA-CNV. After stringent calling procedures, standardized FreeSurfer image analysis, we found negative dose-response associations with on...
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...
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...
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...
Previous research has shown that the autonomic nervous system provides essential constraints over ongoing cognitive function. However, there is currently a relative lack of direct empirical evidence for how this interaction manifests in brain at macroscale level. Here, we examine role ascending arousal and attentional load on large-scale network dynamics by combining pupillometry, functional MRI, graph theoretical analysis to analyze data from visual motion-tracking task with parametric...
Abstract The brain functional connectome forms a relatively stable and idiosyncratic backbone that can be used for identification or “fingerprinting” of individuals with high level accuracy. While previous cross‐sectional evidence has demonstrated increased stability distinctiveness the during course childhood adolescence, less is known regarding longitudinal in middle older age. Here, we collected structural resting‐state MRI data at two time points separated by 2–3 years 75 middle‐aged...
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...
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...
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...
Abstract Computerized cognitive training (CCT) combined with transcranial direct current stimulation (tDCS) has showed some promise in alleviating impairments patients brain disorders, but the robustness and possible mechanisms are unclear. In this prospective double‐blind randomized clinical trial, we investigated feasibility effectiveness of combining CCT tDCS, tested predictive value training‐related changes fMRI‐based activation during attentive performance (multiple object tracking)...
Abstract Previous research has shown that the autonomic nervous system provides essential constraints over ongoing cognitive function. However, there is currently a relative lack of direct empirical evidence for how this interaction manifests in brain at macro-scale level. Here, we examine role ascending arousal and attentional load on large-scale network dynamics by combining pupillometry, functional MRI graph theoretical analysis to analyze data from visual motion-tracking task with...
Abstract Background Schizophrenia (SZ) and bipolar disorders (BD) share substantial neurodevelopmental components affecting brain maturation architecture. This necessitates a dynamic lifespan perspective in which aberrations are inferred from deviations expected trajectories. We applied machine learning to diffusion tensor imaging (DTI) indices of white matter structure organization estimate compare age between patients with SZ, BD, healthy controls across 10 cohorts. Methods trained six...
Abstract For many traits, males show greater variability than females, with possible implications for understanding sex differences in health and disease. Here, the ENIGMA (Enhancing Neuro Imaging Genetics through Meta-Analysis) Consortium presents largest-ever mega-analysis of brain structure, based on international data spanning nine decades life. Subcortical volumes, cortical surface area thickness were assessed MRI 16,683 healthy individuals 1-90 years old (47% females). We observed...