Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Zijin Gu"'
Publikováno v:
Communications Biology, Vol 6, Iss 1, Pp 1-12 (2023)
Abstract Understanding how human brains interpret and process information is important. Here, we investigated the selectivity and inter-individual differences in human brain responses to images via functional MRI. In our first experiment, we found th
Externí odkaz:
https://doaj.org/article/fd5ad34961874504b23d859a953e6b2b
Publikováno v:
Communications Biology, Vol 5, Iss 1, Pp 1-12 (2022)
An ensemble encoding approach uses existing individual encoding models with densely-sampled data to predict brain responses to visual stimuli in novel individuals with small amounts of data.
Externí odkaz:
https://doaj.org/article/f1a190a029dd43919a6017850bc929be
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-12 (2021)
The relationship between the human structural and functional connectome is still not well established. Here the authors show the interindividual variability that exists in regional coupling of structural and functional connectivity across the brain,
Externí odkaz:
https://doaj.org/article/d3c4d3e9f86a45f6bdcf164059b6da53
Autor:
Zijin Gu, Keith Wakefield Jamison, Meenakshi Khosla, Emily J. Allen, Yihan Wu, Ghislain St-Yves, Thomas Naselaris, Kendrick Kay, Mert R. Sabuncu, Amy Kuceyeski
Publikováno v:
NeuroImage, Vol 247, Iss , Pp 118812- (2022)
Functional MRI (fMRI) is a powerful technique that has allowed us to characterize visual cortex responses to stimuli, yet such experiments are by nature constructed based on a priori hypotheses, limited to the set of images presented to the individua
Externí odkaz:
https://doaj.org/article/7fbbc71139f54ff3b6f77d29653345ed
Publikováno v:
IEEE Access, Vol 7, Pp 85286-85297 (2019)
Motivated by the success of convolutional neural networks (CNNs) in image-related applications, in this paper, we design an effective method for no-reference 3D image quality assessment (3D IQA) through CNN-based feature extraction and consolidation
Externí odkaz:
https://doaj.org/article/9d8246e8aca84c178906e969312abdda
Publikováno v:
NeuroImage: Clinical, Vol 32, Iss , Pp 102827- (2021)
Background: Multiple Sclerosis (MS), a neurodegenerative and neuroinflammatory disease, causing lesions that disrupt the brain’s anatomical and physiological connectivity networks, resulting in cognitive, visual and/or motor disabilities. Advanced
Externí odkaz:
https://doaj.org/article/6a6f4751e3be448c9c45613255f62067
Publikováno v:
Human Brain Mapping. 44:3541-3554
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-12 (2021)
Nature Communications
Nature Communications
White matter structural connections are likely to support flow of functional activation or functional connectivity. While the relationship between structural and functional connectivity profiles, here called SC-FC coupling, has been studied on a whol
Functional connectomes (FCs), represented by networks or graphs that summarize coactivation patterns between pairs of brain regions, have been related at a population level to age, sex, cognitive/behavioral scores, life experience, genetics and disea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66a511e4a2de69e30062327b301b5126
https://doi.org/10.1101/2022.10.03.510660
https://doi.org/10.1101/2022.10.03.510660
Publikováno v:
Human Brain Mapping; 6/15/2023, Vol. 44 Issue 9, p3541-3554, 14p