Multimodal MRI-derived phenotypes in preclinical Alzheimer’s Disease: results from the EPAD cohort
| Autor: | Lorenzini, L., Ingala, S., Wink, A. M., Kuijer, J. P. A., Wottschel, V., Sudre, C. H., Haller, S., Molinuevo, J. L., Gispert, J. D., Cash, D. M., Thomas, D. L., Vos, S. B., Ferran, P., Petr, J., Wolz, R., Palombit, A., Schwarz, A. J., Chételat, G., Payoux, P., Di Perri, C., Pernet, C., Frisoni, G., Fox, N. C., Ritchie, C., Wardlaw, J., Waldman, A., Barkhof, F., Mutsaerts, H. J. M. M. |
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| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Zdroj: | ISMRM '22: ISMRM 30th Annual Meeting & Exhibition, 07.-12.05.2022, London, United Kingdom ISMRM '22: ISMRM 30th Annual Meeting & Exhibition, 07.-12.05.2022, London, United KingdomProceedings of the ISMRM 30th Annual Meeting & Exhibition |
| Popis: | Image-derived phenotypes (IDPs) from multimodal MRI sequences constitute an important resource that allows the characterization of brain alterations in the early stages of Alzheimer diseases and other neurodegenerative conditions. Here, we showed the computation of multimodal IDPs from the European Prevention of Alzheimer Dementia (EPAD) cohort and assessed their relationship with non-imaging markers of neurodegeneration. We demonstrated the clinical relevance of IDPs to uncover early brain alteration in AD by showing expected association with non-imaging data. |
| Databáze: | OpenAIRE |
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