Chiadi U. Onyike

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 study uses MRI volumetrics to analyze cerebellar and brainstem degeneration in SCA3, finding consistent atrophy patterns and reduced cerebrocerebellar covariance.

This study identifies genetic risk factors for FTLD-TDP subtypes using whole-genome sequencing and meta-analysis across multiple cohorts.

This study uses MRI volumetrics to characterize brain atrophy patterns in SCA2, finding progressive degeneration starting in cerebellar white matter and spreading to other brain regions.

This paper evaluates the polygenic risk score for Alzheimer's disease in Japanese individuals, showing its utility despite genetic differences from European populations.

This paper develops a blood-based machine learning model to predict cerebral spinal fluid Aβ1-42 levels, showing high accuracy in identifying Alzheimer's disease risk.