Artificial Intelligence-Assisted Volumetric Brain Analysis Correlated with CSF Biomarkers in Alzheimer’s Disease: A Pilot Study
: These results highlight the entorhinal cortex and PCC as early affected regions where CSF Aβ42 correlates with preserved volume, supporting their role as structural markers in early AD. The absence of pTau associations may reflect early-stage pathology or limitations of cross-sectional volumetry. In resource-limited settings, AI-assisted volumetric MRI demonstrates potential utility as a non-invasive tool for stratifying amyloid-associated brain atrophy and staging disease severity.
Authors
- Vidya Gani Wijaya
- Amelia Nur Vidyanti (ORCID: https://orcid.org/0000-0002-2741-2983)
- Alya Ayu Tazkia (ORCID: https://orcid.org/0000-0002-0453-3408)
- Reyhan Eddy Yunus (ORCID: https://orcid.org/0000-0001-9046-6303)
- Yuliarni Syafrita (ORCID: https://orcid.org/0000-0002-2729-4980)
- Sarah Alya Rahmayani
- Aileen Gabrielle (ORCID: https://orcid.org/0000-0002-3346-7534)
- Gamael Marcel
- Violine Martalia
- A. Fakhri
- Pukovisa Prawiroharjo
Institutions
- Sebelas Maret University (ID)
- Atma Jaya Catholic University of Indonesia (ID)
- Universitas Gadjah Mada (ID)
- University of Indonesia (ID)
- National Brain Centre (ID)
- Rumah Sakit Umum Pusat Nasional Dr. Cipto Mangunkusumo (ID)
- Universitas Hang Tuah (ID)
- Andalas University (ID)
Publication Details
- Journal
- Diagnostics
- Published
- 2026-03-31
- DOI
- https://doi.org/10.3390/diagnostics16071050
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Universitas Indonesia
- Universitas Gadjah Mada
- Universitas Andalas