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The Role of a Dopamine-Dependent Limbic-Motor Network in Sensory Motor Processing in Parkinson Disease.

, , , , , , , , , , и . J. Cogn. Neurosci., 35 (11): 1806-1822 (ноября 2023)

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Mihyun Kang

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A Bayesian Double Fusion Model for Resting-State Brain Connectivity Using Joint Functional and Structural Data., , , , и . Brain Connect., 7 (4): 219-227 (2017)Quantitative Evaluation of Statistical Inference in Resting State Functional MRI., , , и . MICCAI (2), том 7511 из Lecture Notes in Computer Science, стр. 246-253. Springer, (2012)Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification., , , , , , и . CoRR, (2021)Revealing latent value of clinically acquired CTs of traumatic brain injury through multi-atlas segmentation in a retrospective study of 1, 003 with external cross-validation., , , , , и . Medical Imaging: Image Processing, том 9413 из SPIE Proceedings, стр. 94130K. SPIE, (2015)Functional Networks in Temporal-Lobe Epilepsy: A Voxel-Wise Study of Resting-State Functional Connectivity and Gray-Matter Concentration., , , , , , , , и . Brain Connect., 3 (1): 22-30 (2013)Evaluation of Statistical Inference on Empirical Resting State fMRI., , , и . IEEE Trans. Biomed. Eng., 61 (4): 1091-1099 (2014)Hierarchical spherical deformation for cortical surface registration., , , , и . Medical Image Anal., (2019)Quantitative magnetization transfer imaging of the human locus coeruleus., , , , , , , и . NeuroImage, (2019)Simultaneous control of error rates in fMRI data analysis., , , и . NeuroImage, (2015)Constructing statistically unbiased cortical surface templates using feature-space covariance., , , , , , , и . Medical Imaging: Image Processing, том 10574 из SPIE Proceedings, стр. 1057406. SPIE, (2018)