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Neural Underpinnings of Learning in Dementia Populations: A Review of Motor Learning Studies Combined with Neuroimaging.

, , , , and . J. Cogn. Neurosci., 36 (5): 734-755 (May 2024)

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Cerebrovascular reactivity measurements using simultaneous 15O-water PET and ASL MRI: Impacts of arterial transit time, labeling efficiency, and hematocrit., , , , , , , , , and 6 other author(s). NeuroImage, (2021)Baseline oxygenation in the brain: Correlation between respiratory-calibration and susceptibility methods., , , , , , , and . NeuroImage, (2016)Vessel segmentation from quantitative susceptibility maps for local oxygenation venography., , , , and . ISBI, page 1135-1138. IEEE, (2016)Neural Underpinnings of Learning in Dementia Populations: A Review of Motor Learning Studies Combined with Neuroimaging., , , , and . J. Cogn. Neurosci., 36 (5): 734-755 (May 2024)Regional quantification of cerebral venous oxygenation from MRI susceptibility during hypercapnia., , , , and . NeuroImage, (2015)Quantification of brain oxygen extraction and metabolism with 15O-gas PET: A technical review in the era of PET/MRI., , , , , , , and . NeuroImage, (2020)Deep learning and multi-contrast-based denoising for low-SNR Arterial Spin Labeling (ASL) MRI., , , , , and . Medical Imaging: Image Processing, volume 11313 of SPIE Proceedings, page 113130M. SPIE, (2020)BOLD signal physiology: Models and applications., and . NeuroImage, (2019)Dynamic Magnetic Resonance Vascular Fingerprinting During Hypercapnia for Quantitative and Multiparametric Cerebrovascular Reactivity Measures., , and . EMBC, page 1-4. IEEE, (2023)Multimodal comparisons of QSM and PET in neurodegeneration and aging., and . NeuroImage, (June 2023)