A5047803917- Functional Brain Connectivity Studies
- Dementia and Cognitive Impairment Research
- Health, Environment, Cognitive Aging
- Memory and Neural Mechanisms
- Birth, Development, and Health
- Alzheimer's disease research and treatments
- Sleep and Wakefulness Research
- Sleep and related disorders
- Statistical Methods and Inference
- Advanced Neuroimaging Techniques and Applications
- Bayesian Modeling and Causal Inference
- Memory Processes and Influences
- Neonatal and fetal brain pathology
- Statistical Methods and Bayesian Inference
- Bayesian Methods and Mixture Models
- Cognitive Abilities and Testing
- Game Theory and Voting Systems
- Pregnancy and preeclampsia studies
- Neurobiology of Language and Bilingualism
- Sleep and Work-Related Fatigue
- Neurological Disease Mechanisms and Treatments
- Neuroinflammation and Neurodegeneration Mechanisms
- Health disparities and outcomes
- Diet and metabolism studies
- Hemispheric Asymmetry in Neuroscience
University of Oslo
2015-2025
Oslo University Hospital
2020-2024
Norwegian University of Science and Technology
2024
Centre Inria de l'Université Grenoble Alpes
2020
Laboratoire Jean Kuntzmann
2020
Centre National de la Recherche Scientifique
2020
Université Grenoble Alpes
2020
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...
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...
Education has been related to various advantageous lifetime outcomes. Here, using longitudinal structural MRI data (4,422 observations), we tested the influential hypothesis that higher education translates into slower rates of brain aging. Cross-sectionally, was modestly associated with regional cortical volume. However, despite marked mean atrophy in cortex and hippocampus, did not influence change. The results were replicated across two independent samples. Our findings challenge view slows
Abstract Higher socio-economic status (SES) has been proposed to have facilitating and protective effects on brain cognition. We ask whether relationships between SES, volumes cognitive ability differ across cohorts, by age national origin. European US cohorts covering the lifespan were studied (4–97 years, N = 500 000; 54 000 w/brain imaging). There was substantial heterogeneity for all associations. Education positively related intracranial (ICV) total gray matter (GM) volume. Income ICV,...
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,...
Ranking and comparing items is crucial for collecting information about preferences in many areas, from marketing to politics. The Mallows rank model among the most successful approaches analyse data, but its computational complexity has limited use a particular form based on Kendall distance. We develop new computationally tractable methods Bayesian inference models that work with any right-invariant Our method performs consensus ranking of items, also when partial rankings, such as top-k...
Abstract Objectives Poor sleep is associated with multiple age-related neurodegenerative and neuropsychiatric conditions. The hippocampus plays a special role in sleep-dependent cognition, accelerated hippocampal atrophy typically seen higher age. Hence, it critical to establish how the relationship between volume loss unfolds across adult lifespan. Methods Self-reported measures MRI-derived volumes were obtained from 3105 cognitively normal participants (18–90 years) major European brain...
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...
To test the hypothesis that genetic risk for Alzheimer disease (AD) may represent a stable influence on brain from early in life, rather than being primarily age dependent, we investigated lifespan sample of 1,181 persons with total 2,690 scans, whether higher polygenic score (PGS) AD and presence APOE ε4 was associated lower hippocampal volumes to begin with, as an offset effect, or possibly faster decline older age.Using general additive mixed models, assessed relations PGS AD, including...
We address the problem of estimating how different parts brain develop and change throughout lifespan, these trajectories are affected by genetic environmental factors. Estimation lifespan is statistically challenging, since their shapes typically highly nonlinear, although true can only be quantified longitudinal examinations, as follow-up intervals in neuroimaging studies cover less than 10 \% use cross-sectional information necessary. Linear mixed models (LMMs) structural equation (SEMs)...
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,...
Intensive longitudinal data with a large number of timepoints per individual are becoming increasingly common. Such allow going beyond the classical growth model situation and studying population effects variability not only in trends over time but also autoregressive effects, cross-lagged noise term. Dynamic structural equation models (DSEMs) have become very popular for analyzing intensive data. However, when contain trends, cycles, or time-varying predictors which nonlinear on outcome,...
Background Immune dysregulation has been implicated in Alzheimer's disease; however, precise mechanisms and timing have not established. Objective To investigate the concurrent longitudinal associations of serum C-reactive protein (CRP) dietary inflammatory index (DII) with cognitive decline as observed disease. Methods The study was based on 7613 individuals who participated Tromsø6 (2007–2008) Tromsø7 (2015–2016). We analyzed relationship between CRP levels, DII, function cross-sectionally...
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...
Human cortical morphology is genetically programmed but also influenced by environment both in development and adulthood. Determining the timing of these influences across lifespan a key challenge. Here we test what makes identical brains differ converge. Mono- (MZ) dizygotic (DZ) twins (n = 206, age 16-79 yrs) with known extent birth weight (BW) discordance, had MRIs pre- post- 10 weeks immersive virtual reality navigation training train-rest-rest/rest-train-rest-design, or as passive...
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...
Abstract One of the challenges in field neuroimaging is that we often lack knowledge about underlying truth and whether our methods can detect developmental changes. To address this gap, five research groups around globe created simulated datasets embedded with their assumptions interplay between brain development, cognition, behavior. Each group independently datasets, unaware approaches made by other groups. three same variables, each 10,000 participants over 7 longitudinal waves, ranging...
Brain atrophy is a key factor behind episodic memory loss in aging, but the nature and ubiquity of this relationship remains poorly understood. This study leveraged 13 longitudinal datasets, including 3,737 cognitively healthy adults (10,343 MRI scans; 13,460 assessments), to determine whether brain change-memory change associations are more pronounced with age genetic risk for Alzheimer′s Disease. Both factors associated accelerated decline, yet it unclear exacerbated beyond what alone...