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e vaghefi
(29 results)?
Late combination shows that MEG adds to MRI in classifying MCI versus controls.
Neuroimage. 2022 May 15;252:119054. doi: 10.1016/j.neuroimage.2022.119054. Epub 2022 Mar 3.
Neuroimage. 2022.
PMID: 35247546
Free PMC article.
When using the covariance of planar gradiometer data in the low Gamma range (30-48 Hz), we found that adding a MEG kernel improved classification accuracy above kernels that captured several potential confounds (e.g., age, education, time-of-day, head motion). However, acc …
When using the covariance of planar gradiometer data in the low Gamma range (30-48 Hz), we found that adding a MEG kernel improved classific …
Unsupervised multimodal modeling of cognitive and brain health trajectories for early dementia prediction.
Burkhart MC, Lee LY, Vaghari D, Toh AQ, Chong E, Chen C, Tiňo P, Kourtzi Z.
Burkhart MC, et al.
Sci Rep. 2024 May 10;14(1):10755. doi: 10.1038/s41598-024-60914-w.
Sci Rep. 2024.
PMID: 38729989
Free PMC article.
A key challenge for early prediction in real-world clinical settings is the lack of labeled data (i.e., clinical diagnosis). In contrast to supervised classification approaches that require labeled data, we propose an unsupervised multimodal trajectory modeling (MTM) appro …
A key challenge for early prediction in real-world clinical settings is the lack of labeled data (i.e., clinical diagnosis). In contr …
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