% alzhub.org library filter % Source: https://alzhub.org/research?category=digital&institution=I233745408 % 6 entries, in the order the page lists them. Built from alzhub.org's own records. % 0 entries have no readable author in the source record and carry no author field. @article{maito2023-36583137, author = {Maito, M. A. and Santamaría-García, H. and Moguilner, S. and Possin, K. L. and Godoy, M. E. and Avila-Funes, J. A. and Behrens, M. I. and Brusco, I. L. and others}, title = {{Classification of Alzheimer's disease and frontotemporal dementia using routine clinical and cognitive measures across multicentric underrepresented samples: A cross sectional observational study}}, journal = {Lancet regional health. Americas}, year = {2023}, doi = {10.1016/j.lana.2022.100387}, pmid = {36583137}, url = {https://doi.org/10.1016/j.lana.2022.100387} } @article{moguilner2021-33144220, author = {Moguilner, S. and García, A. M. and Perl, Y. S. and Tagliazucchi, E. and Piguet, O. and Kumfor, F. and Reyes, P. and Matallana, D. and others}, title = {{Dynamic brain fluctuations outperform connectivity measures and mirror pathophysiological profiles across dementia subtypes: A multicenter study}}, journal = {NeuroImage}, year = {2021}, doi = {10.1016/j.neuroimage.2020.117522}, pmid = {33144220}, url = {https://doi.org/10.1016/j.neuroimage.2020.117522} } @article{birba2022-35491275, author = {Birba, A. and Santamaría-García, H. and Prado, P. and Cruzat, J. and Ballesteros, A. S. and Legaz, A. and Fittipaldi, S. and Duran-Aniotz, C. and others}, title = {{Allostatic-Interoceptive Overload in Frontotemporal Dementia}}, journal = {Biological psychiatry}, year = {2022}, doi = {10.1016/j.biopsych.2022.02.955}, pmid = {35491275}, url = {https://doi.org/10.1016/j.biopsych.2022.02.955} } @article{bachli2020-31841681, author = {Bachli, M. B. and Sedeño, L. and Ochab, J. K. and Piguet, O. and Kumfor, F. and Reyes, P. and Torralva, T. and Roca, M. and others}, title = {{Evaluating the reliability of neurocognitive biomarkers of neurodegenerative diseases across countries: A machine learning approach}}, journal = {NeuroImage}, year = {2020}, doi = {10.1016/j.neuroimage.2019.116456}, pmid = {31841681}, url = {https://doi.org/10.1016/j.neuroimage.2019.116456} } @article{donnellykehoe2019-31497638, author = {Donnelly-Kehoe, P. A. and Pascariello, G. O. and García, A. M. and Hodges, JR. and Miller, B. and Rosen, H. and Manes, F. and Landin-Romero, R. and others}, title = {{Robust automated computational approach for classifying frontotemporal neurodegeneration: Multimodal/multicenter neuroimaging}}, journal = {Alzheimer's \& dementia (Amsterdam, Netherlands)}, year = {2019}, doi = {10.1016/j.dadm.2019.06.002}, pmid = {31497638}, url = {https://doi.org/10.1016/j.dadm.2019.06.002} } @article{moguilner2022-35940105, author = {Moguilner, S. and Birba, A. and Fittipaldi, S. and Gonzalez-Campo, C. and Tagliazucchi, E. and Reyes, P. and Matallana, D. and Parra, M. A. and others}, title = {{Multi-feature computational framework for combined signatures of dementia in underrepresented settings}}, journal = {Journal of neural engineering}, year = {2022}, doi = {10.1088/1741-2552/ac87d0}, pmid = {35940105}, url = {https://doi.org/10.1088/1741-2552/ac87d0} }