Ricardo S. Osorio

Elucidating the neuropathological and molecular heterogeneity of amyloid-beta and tau in Alzheimer's disease through machine learning and transcriptomic integration

This study uses machine learning and transcriptomic integration to identify brain network and molecular signatures associated with amyloid-beta and tau in Alzheimer's disease.

Greater hypoxic burden predicts weaker coordination between brain pulsation and CSF flow on 7T MRI independent of non-hypoxic arousals: Implications for glymphatic activity

This study finds that greater hypoxic burden in OSA is linked to weaker coordination between brain pulsation and CSF flow, suggesting impaired glymphatic activity.

Functional Connectome of Superagers Reveals Early Markers of Resilience and Vulnerability to Alzheimers Disease

This study identifies a functional connectivity signature, ARC, that distinguishes superagers from AD patients and predicts cognitive decline and amyloid-beta accumulation.

Defining Dementia Subtypes Through Neuropsychiatric Symptom-Linked Brain Connectivity Patterns

The paper identifies dementia subtypes based on neuropsychiatric symptom-linked brain connectivity patterns using neuroimaging data.

Gray matter volume and estimated brain age gap are not associated with sleep-disordered breathing in subjects from the ADNI cohort

This study investigates the association between sleep-disordered breathing and gray matter volume or brain aging in Alzheimer's disease and mild cognitive impairment patients, finding no significant links.

Multichannel Sleep Spindle Detection Using Sparse Low-Rank Optimization

This paper introduces a multichannel sleep spindle detection method using sparse low-rank optimization, achieving F1 scores of 0.66 and 0.62 on two databases.