A5001262243- Functional Brain Connectivity Studies
- Dementia and Cognitive Impairment Research
- Advanced Neuroimaging Techniques and Applications
- Memory and Neural Mechanisms
- Health, Environment, Cognitive Aging
- Neural dynamics and brain function
- Alzheimer's disease research and treatments
- Memory Processes and Influences
- Birth, Development, and Health
- Advanced MRI Techniques and Applications
- Neuroinflammation and Neurodegeneration Mechanisms
- Sleep and related disorders
- Neonatal and fetal brain pathology
- Neural and Behavioral Psychology Studies
- Sleep and Wakefulness Research
- Transcranial Magnetic Stimulation Studies
- EEG and Brain-Computer Interfaces
- Mental Health Research Topics
- Identity, Memory, and Therapy
- Morphological variations and asymmetry
- Stress Responses and Cortisol
- Neurological Disease Mechanisms and Treatments
- Radiomics and Machine Learning in Medical Imaging
- Hemispheric Asymmetry in Neuroscience
- Bioinformatics and Genomic Networks
University of Oslo
2016-2025
Oslo University Hospital
2024
Norwegian University of Science and Technology
2024
John Wiley & Sons (United States)
2021
Centre for Life
2021
Hudson Institute
2021
Consorci Institut D'Investigacions Biomediques August Pi I Sunyer
2012-2016
Universitat de Barcelona
2011-2016
There is an increased emphasis on visualizing neuroimaging results in more intuitive ways. Common statistical tools for dissemination of these results, such as bar charts, lack the spatial dimension that inherent data. Here we present two packages software R integrate this component. The ggseg and ggseg3d visualize predefined brain segmentations 2D polygons 3D meshes, respectively. Both are integrated with other well-established packages, which allows great flexibility. In Tutorial, describe...
Brain age is a widely used index for quantifying individuals’ brain health as deviation from normative aging trajectory. Higher-than-expected thought partially to reflect above-average rate of aging. Here, we explicitly tested this assumption in two independent large test datasets (UK Biobank [main] and Lifebrain [replication]; longitudinal observations ≈ 2750 4200) by assessing the relationship between cross-sectional estimates age. models were estimated different training (n 38,000 1800...
Aging and Alzheimer's disease (AD) are associated with progressive brain disorganization. Although structural asymmetry is an organizing feature of the cerebral cortex it unknown whether continuous age- AD-related cortical degradation alters asymmetry. Here, in multiple longitudinal adult lifespan cohorts we show that higher-order regions exhibiting pronounced at age ~20 also asymmetry-loss across lifespan. Hence, accelerated thinning (previously) thicker homotopic hemisphere a aging. This...
The discrepancy between chronological age and the apparent of brain based on neuroimaging data - delta has emerged as a reliable marker health. With an increasing wealth data, approaches to tackle heterogeneity in acquisition are vital. To this end, we compiled raw structural magnetic resonance images into one largest most diverse datasets assembled (n=53542), trained convolutional neural networks (CNNs) predict age. We achieved state-of-the-art performance unseen from unknown scanners...
Evidence from neuroimaging and electrophysiological studies indicates that the left dorsolateral prefrontal cortex (DLPFC) is a core region in emotional processing, particularly during down-regulation of negative conditions. However, regulation process subject to major inter-individual differences, some which may be explained by personality traits. In present study we used transcranial direct current stimulation (tDCS) over DLPFC investigate whether transiently increasing activity this...
Cortical thinning occurs throughout the entire life and extends to late-life neurodegeneration, yet neurobiological substrates are poorly understood. Here, we used a virtual-histology technique gene expression data from Allen Human Brain Atlas compare regional profiles of longitudinal cortical through (4004 magnetic resonance images [MRIs]) with those for several neuronal non-neuronal cell types. The results were replicated in three independent datasets. We found that inter-regional related...
Ageing entails cognitive and motor decline as well brain changes such loss of gray (GM) white matter (WM) integrity, neurovascular functional connectivity alterations. Regarding connectivity, reduced resting-state fMRI between anterior posterior nodes the Default Mode Network (DMN) relates to function has been postulated be a hallmark ageing. However, relationship age-related other neuroimaging-based measures in ageing is fragmentarily investigated. In sample 116 healthy elders we aimed...
Concentrations of pro-inflammatory cytokines -interleukin-6 (IL-6) and interleukin-8 (IL-8) - are increased with age in Alzheimer's disease (AD). It is not clear whether concentrations IL-6 IL-8 the central nervous system predict later brain cognitive changes over time nor this relationship mediated by core AD biomarkers. Here, 219 cognitively healthy older adults (62-91 years), baseline cerebrospinal fluid (CSF) measures were followed up to 9 years assessments that included function,...
Cortical asymmetry is a ubiquitous feature of brain organization that subtly altered in some neurodevelopmental disorders, yet we lack knowledge how its development proceeds across life health. Achieving consensus on the precise cortical asymmetries humans necessary to uncover developmental timing and extent which it arises through genetic later influences childhood. Here, delineate population-level thickness surface area vertex-wise seven datasets chart trajectories longitudinally (4-89...
Abstract The difference between chronological age and the apparent of brain estimated from imaging data—the gap (BAG)—is widely considered a general indicator health. Converging evidence supports that BAG is sensitive to an array genetic nongenetic traits diseases, yet few studies have examined architecture its corresponding causal relationships with common disorders. Here, we estimate using state-of-the-art neural networks trained on scans 53,542 individuals (age range 3–95 years). A...
Human fetal development has been associated with brain health at later stages. It is unknown whether growth in utero, as indexed by birth weight (BW), relates consistently to lifespan characteristics and changes, what extent these influences are of a genetic or environmental nature. Here we show remarkably stable lifelong positive associations between BW cortical surface area volume across within developmental, aging longitudinal samples (N = 5794, 4–82 y age, w/386 monozygotic twins,...
Deep learning approaches for clinical predictions based on magnetic resonance imaging data have shown great promise as a translational technology diagnosis and prognosis in neurological disorders, but its impact has been limited. This is partially attributed to the opaqueness of deep models, causing insufficient understanding what underlies their decisions. To overcome this, we trained convolutional neural networks structural brain scans differentiate dementia patients from healthy controls,...
Abstract In neuroimaging research, tracking individuals over time is key to understanding the interplay between brain changes and genetic, environmental, or cognitive factors across lifespan. Yet, extent which we can estimate individual trajectories of change with precision remains uncertain. this study, estimated reliability structural in cognitively healthy adults from multiple samples assessed influence follow-up number observations. Estimates cross-sectional measurement error variance...
Abstract Highly myelinated cortical regions seem to develop early and are more robust age‐related decline. By use of different magnetic resonance imaging (MRI) measures such as contrast between T1‐ T2‐weighted MRI scans (T1w/T2w) it is now possible assess correlates myelin content in vivo . Further, previous studies indicate that gray/white matter (GWC) become blurred individuals' age, apparently reflecting changes structure. Here we address whether longitudinal GWC dependent on initial...
Abstract Short sleep is held to cause poorer brain health, but short associated with higher rates of structural decline? Analysing 8,153 longitudinal MRIs from 3,893 healthy adults, we found no evidence for an association between duration and atrophy. In contrast, cross-sectional analyses (51,295 observations) showed inverse U-shaped relationships, where a 6.5 (95% confidence interval, (5.7, 7.3)) hours was the thickest cortex largest volumes relative intracranial volume. This fits...
Human fetal development has been associated with brain health at later stages. It is unknown whether growth in utero, as indexed by birth weight (BW), relates consistently to lifespan characteristics and changes, what extent these influences are of a genetic or environmental nature. Here we show remarkably stable life-long positive associations between BW cortical surface area volume across within developmental, aging longitudinal samples (N = 5794, 4-82 years age, w/ 386 monozygotic twins,...
Why education is linked to higher cognitive function in aging fiercely debated. Leading theories propose that reduces brain decline aging, enhances tolerance pathology, or it does not affect but rather reflects early-life function. To test these theories, we analyzed 407.356 episodic memory scores from 170.795 participants >50 years, alongside 15.157 MRIs 6.472 across 33 Western countries. More was associated with better memory, larger intracranial volume and slightly of memory-sensitive...
Abstract Some older adults show high episodic memory performance compared to same-age peers. It is not known whether their function caused by special brain features in aging, or superior has the same foundation throughout adult life. To address this, we measured hippocampal volume and atrophy, microstructural integrity diffusion tensor imaging, activity during an encoding retrieval task cognitively healthy ( n = 277, age 20.1–81.5 years). Atrophy was quantified repeated MRIs (2–7...