Author

G. Di Fede

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Open access Jul 2026

Machine-learning MRI stratification of genetic frontotemporal dementia for clinical trial enrichment

Machine-learning stratification of genetic FTD reveals a progressive and a dissociated disease track and provides individualized progression scores that closely track clinical status, enabling smaller, more efficient prevention and early-intervention trials than conventional MRI or NfL markers alone.

M. Soltaninejad, Y. Iturria-Medina, A. Bouzigues et al. · bioRxiv · 0 citations

Open access Aug 2026

Educational attainment and sex modulate clinical outcomes in genetic frontotemporal dementia

Sex and educational attainment significantly affect the development and maintenance of cognitive reserve in individuals with genetic FTD, and underscore the importance of identifying disease-modifying interventions since the presymptomatic stages of the disease.

E. Premi, Damiano Archetti, A. Redolfi et al. · Brain Communications · 0 citations

#protein folding Open access Aug 2026

Cerebrospinal fluid YWHAG:NPTX2 ratio predicts clinical severity and future phenoconversion in frontotemporal lobar degeneration

Frontotemporal lobar degeneration (FTLD) is a common cause of early-onset dementias marked by progressive declines in behavior, cognition, and/or movement. FTLD neuropathologies, including TDP-43 proteinopathies and primary tauopathies, do not have reliable fluid biomarkers for in-vivo diagnosis nor biomarkers that dir...

H. Oh, J. Downer, Connor D. Dietz et al. · bioRxiv · 0 citations