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Projekt Druckansicht

Histopathologische Korrelate von erweiterten perivaskulären Räumen in der zerebralen Amyloidangiopathie.

Antragstellerin Dr. Valentina Perosa, Ph.D.
Fachliche Zuordnung Klinische Neurologie; Neurochirurgie und Neuroradiologie
Förderung Förderung von 2020 bis 2023
Projektkennung Deutsche Forschungsgemeinschaft (DFG) - Projektnummer 454245528
 
Erstellungsjahr 2024

Zusammenfassung der Projektergebnisse

Dr. Valentina Perosa’s Walter Benjamin fellowship focused on the histopathological correlates of MRI-visible perivascular spaces (PVS) in cerebral amyloid angiopathy (CAA). This research aimed to investigate how PVS dilation correlates with vascular amyloid-β (Aβ) deposition in CAA. The project was conducted using cutting-edge neuroimaging techniques, including high and ultrahigh resolution 3T and 7T ex vivo MRI, combined with deep learning-based histopathological analyses and serial sectioning. Dr. Perosa applied artificial intelligence (AI) methods to analyze histopathological markers of neurodegenerative and vascular disease such as Aβ-plaques, CAA, iron deposition, and blood-brain barrier leakage, which allowed for a more objective and precise assessment of CAA- and AD-related pathology. Key findings of the project revealed a strong correlation between PVS dilation and vascular Aβ accumulation in the overlying cortex, supporting the hypothesis that enlarged PVS reflect impaired perivascular clearance. The results also established the correlation between burden of MRI- visible PVS and EPVS in histopathology. The project further demonstrated the utility of AI-assisted pathology in enhancing the reproducibility and scalability of neuropathological analyses, for example in analyzing reactive astrocytosis and cortical superficial siderosis (cSS), which were found to be linked to chronic inflammatory responses in CAA. The fellowship provided Dr. Perosa with an opportunity to master new methodologies and establish her expertise in ex vivo MRI and histopathological correlates. The integration of AI tools allowed for more efficient data analysis, contributing significantly to the understanding of CAA pathology. This work, published in high-impact journals, established Dr. Perosa as an independent investigator at Massachusetts General Hospital and Harvard Medical School, setting a foundation for her future research career.

Projektbezogene Publikationen (Auswahl)

 
 

Zusatzinformationen

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