Johannes Levin

The paper identifies the CSF YWHAG:NPTX2 ratio as a biomarker for predicting clinical severity and phenoconversion in FTLD, showing strong correlation with disease progression and improved trial design potential.

This paper uses machine learning to stratify genetic frontotemporal dementia patients into subtypes and provides progression scores that improve trial enrichment efficiency.

The paper develops an MRI-based machine learning classifier to identify presymptomatic C9orf72 carriers at high risk of disease onset within two years.

The paper shows that white matter hyperintensities (WMHs) appear before other biomarkers in GRN-related frontotemporal dementia, suggesting they are early indicators of disease progression.

This study shows that neuronal and oligodendroglial tau, but not astroglial tau, contribute to tau-PET signals in 4-repeat tauopathies.

This study identifies four novel genetic loci associated with soluble TREM2 levels in CSF through GWAS and provides functional validation of their roles in Alzheimer's disease.

The paper quantifies Aβ production from PSEN1 variants and links it to clinical and biomarker progression in ADAD, showing strong associations with disease trajectories.

This study investigates the association between cerebellar and subcortical atrophy and neuropsychiatric symptoms in genetic frontotemporal dementia, finding significant differences across genetic mutations.

This study shows that extracellular alpha-synuclein toxicity in Parkinson's disease is independent of intracellular alpha-synuclein and linked to mitochondrial dysfunction.

This study investigates the association between Klotho heterozygosity and Alzheimer's disease risk in APOE4 carriers using multiple AD endophenotypes from large cohorts.

This study uses an epidemic spreading model to analyze A{beta} deposition patterns in sAD and ADAD, finding similar but distinct spreading patterns in some ADAD patients.

The paper describes MRI and PET protocols used in the DIAN study to investigate preclinical Alzheimer's disease and reports key imaging findings.

This study shows that atrophy patterns in bvFTD are shaped by both global brain network structure and local transcriptomic vulnerability from disease-related genes.

This study shows that TREM2 deficiency reduces microglial hyperactivation in GRN-deficient models but does not rescue lysosomal dysfunction or neurodegeneration biomarkers.

The paper develops a model to predict brain aging from resting state fMRI and finds accelerated brain aging in preclinical Alzheimer's disease, independent of amyloid-beta pathology.

The paper investigates the relationship between gene expression and brain atrophy in genetic frontotemporal dementia, finding correlations between atrophy patterns and specific gene sets related to vascular, glial, and neuronal functions.

The paper develops a random forest classifier to diagnose behavioral variant frontotemporal dementia using MRI and cognitive scores, achieving high accuracy in both training and validation cohorts.