Oskar Hansson

The paper shows aging and Alzheimer's disease alter distinct functional connectivity axes in the brain, with AD affecting the sensory-association axis and aging affecting the representation-executive axis.

The paper examines whether stable episodic memory or high education affects Alzheimer's disease pathology measured by plasma p-tau217, finding no such association.

The paper introduces a dynamical ATN model to simulate and predict the spatiotemporal progression of Aβ, tau, and neurodegeneration in Alzheimer's disease using multimodal imaging data.

The paper introduces dGAMLSS, a distributed algorithm for fitting GAMLSS models to construct population reference charts without sharing patient data.

The paper shows that individual functional brain connectivity improves the explanation of tau PET patterns in Alzheimer's disease compared to group-level data.

The paper investigates whether hemispheric asymmetry in tau pathology in Alzheimer's disease is linked to reduced inter-hemispheric connectivity or asymmetric amyloid-beta distribution, finding a strong association with amyloid-beta laterality.

This study identifies two ASD subgroups with distinct brain morphology using cross-cultural datasets, highlighting key brain regions associated with subgroup characteristics and autistic traits.

The paper develops a mechanistic model of tau protein dynamics using PET data to predict regional tau accumulation and disease progression stages in Alzheimer's patients.

This study investigates how brain network dynamics and regional vulnerability influence tau propagation and load in Alzheimer's disease using multi-scale simulations.

This paper introduces a laterality index to quantify hemispheric asymmetry in cortical maps using geometric eigenmodes, validated on fMRI and tau-PET data from Alzheimer's disease patients.

CSF YWHAG:NPTX2 synapse protein ratio, from proteomics of 3,416 individuals across six cohorts, explains cognitive impairment beyond amyloid and tau and predicts decline (hazard ratio 15.4).

The paper compares medial temporal lobe atrophy patterns in early-onset and late-onset amnestic Alzheimer's disease, finding similar atrophy levels but differences in specific subregions.

The paper identifies reference proteins in cerebrospinal fluid that improve the accuracy and interpretability of biomarkers for brain diseases by accounting for inter-individual variability.

This study identifies the mTORC1-4E-BP1 axis as a neuroprotective mechanism in microglia under AD conditions, showing its role in suppressing inflammation and neurodegeneration.

This study uses fMRI to examine empathy processing in bvFTD patients and controls, finding reduced BOLD signal in key regions and altered connectivity patterns.

This study identifies 928 genes associated with brain weight variation across three datasets and links them to neurodevelopmental processes and brain function.

The paper identifies pQTLs for 91 plasma proteins, finds novel associations, and uses MR to uncover causal roles in immune-mediated diseases, suggesting new therapeutic targets.

The paper introduces brain charts as a standardized resource for benchmarking brain morphology across the human lifespan using MRI data from a large and diverse cohort.

This study identifies 592 genetic loci associated with 184 plasma proteins in 26,494 individuals and finds causal relationships between protein levels and disease.

The paper examines the independent associations of PET, CSF, and plasma tau biomarkers with Alzheimer's disease markers, finding that CSF and plasma p-tau181/p-tau217 are more linked to early AD markers, while tau-PET is strongly associated with cognitive and neurodegenerative progression.

The paper estimates the time-course of pathological markers and cognitive dysfunction in Alzheimer's disease relative to Aβ-positivity, finding tau and cognitive changes occur years before significant Aβ accumulation.

This study uses an epidemic spreading model to show that tau spreads through neuronal connections in Alzheimer's disease, with beta-amyloid accelerating this process in some brain regions.

The paper assesses longitudinal medial temporal lobe atrophy in preclinical dementia using visual and automated methods over six years, finding that visual ratings correlate with subcortical volumes but have low inter-rater agreement.

This study uses data-driven clustering to identify spatial patterns of tau-PET distribution in Alzheimer’s disease and compares them to pathology-driven ROIs, finding two clusters with strong cognitive associations.