Zobrazeno 1 - 10
of 183
pro vyhledávání: '"B.T. Thomas Yeo"'
Autor:
Jianzhong Chen, Leon Qi Rong Ooi, Trevor Wei Kiat Tan, Shaoshi Zhang, Jingwei Li, Christopher L. Asplund, Simon B Eickhoff, Danilo Bzdok, Avram J Holmes, B.T. Thomas Yeo
Publikováno v:
NeuroImage, Vol 274, Iss , Pp 120115- (2023)
There is significant interest in using neuroimaging data to predict behavior. The predictive models are often interpreted by the computation of feature importance, which quantifies the predictive relevance of an imaging feature. Tian and Zalesky (202
Externí odkaz:
https://doaj.org/article/555c97ae78784f7c9dd36c1bc964cab4
Autor:
Xiaoxuan Yan, Ru Kong, Aihuiping Xue, Qing Yang, Csaba Orban, Lijun An, Avram J. Holmes, Xing Qian, Jianzhong Chen, Xi-Nian Zuo, Juan Helen Zhou, Marielle V Fortier, Ai Peng Tan, Peter Gluckman, Yap Seng Chong, Michael J Meaney, Danilo Bzdok, Simon B. Eickhoff, B.T. Thomas Yeo
Publikováno v:
NeuroImage, Vol 273, Iss , Pp 120010- (2023)
Resting-state fMRI is commonly used to derive brain parcellations, which are widely used for dimensionality reduction and interpreting human neuroscience studies. We previously developed a model that integrates local and global approaches for estimat
Externí odkaz:
https://doaj.org/article/7fadcb5f4bbf40e39eee7f65fd14b909
Autor:
Ru Kong, Yan Rui Tan, Naren Wulan, Leon Qi Rong Ooi, Seyedeh-Rezvan Farahibozorg, Samuel Harrison, Janine D. Bijsterbosch, Boris C. Bernhardt, Simon Eickhoff, B.T. Thomas Yeo
Publikováno v:
NeuroImage, Vol 273, Iss , Pp 120044- (2023)
Resting-state functional connectivity (RSFC) is widely used to predict behavioral measures. To predict behavioral measures, representing RSFC with parcellations and gradients are the two most popular approaches. Here, we compare parcellation and grad
Externí odkaz:
https://doaj.org/article/03a557c28693466495c48fbfd34b180a
Autor:
Jianxiao Wu, Jingwei Li, Simon B. Eickhoff, Felix Hoffstaedter, Michael Hanke, B.T. Thomas Yeo, Sarah Genon
Publikováno v:
NeuroImage, Vol 262, Iss , Pp 119569- (2022)
An increasing number of studies have investigated the relationships between inter-individual variability in brain regions’ connectivity and behavioral phenotypes, making use of large population neuroimaging datasets. However, the replicability of b
Externí odkaz:
https://doaj.org/article/c33e7202e74942708421c458b63f6c6e
Autor:
Lijun An, Jianzhong Chen, Pansheng Chen, Chen Zhang, Tong He, Christopher Chen, Juan Helen Zhou, B.T. Thomas Yeo
Publikováno v:
NeuroImage, Vol 263, Iss , Pp 119570- (2022)
There is significant interest in pooling magnetic resonance image (MRI) data from multiple datasets to enable mega-analysis. Harmonization is typically performed to reduce heterogeneity when pooling MRI data across datasets. Most MRI harmonization al
Externí odkaz:
https://doaj.org/article/ca8d13b8592e47abaddcb439ab8d22a1
Autor:
Elvisha Dhamala, Leon Qi Rong Ooi, Jianzhong Chen, Ru Kong, Kevin M. Anderson, Rowena Chin, B.T. Thomas Yeo, Avram J. Holmes
Publikováno v:
NeuroImage, Vol 260, Iss , Pp 119485- (2022)
Individual differences in brain anatomy can be used to predict variations in cognitive ability. Most studies to date have focused on broad population-level trends, but the extent to which the observed predictive features are shared across sexes and a
Externí odkaz:
https://doaj.org/article/6c5b9645cf6d46958c429ebb8fa5f951
Publikováno v:
NeuroImage, Vol 250, Iss , Pp 118928- (2022)
What dynamic processes underly functional brain networks? Functional connectivity (FC) and functional connectivity dynamics (FCD) are used to represent the patterns and dynamics of functional brain networks. FC(D) is related to the synchrony of brain
Externí odkaz:
https://doaj.org/article/362bcda5a7414b768cdfb0d7cd2b3800
Publikováno v:
NeuroImage, Vol 244, Iss , Pp 118635- (2021)
Brain function relies on a precisely coordinated and dynamic balance between the functional integration and segregation of distinct networks. Characterizing the way in which brain regions reconfigure their interactions to give rise to distinct but hi
Externí odkaz:
https://doaj.org/article/2130e6d8857c457f9eb79fc905dbbb10
Publikováno v:
NeuroImage, Vol 243, Iss , Pp 118518- (2021)
Null models are useful for assessing whether a dataset exhibits a non-trivial property of interest. These models have recently gained interest in the neuroimaging community as means to explore dynamic properties of functional Magnetic Resonance Imagi
Externí odkaz:
https://doaj.org/article/3c681f14b9624f568a881dfbbbb1e51a
Autor:
Nevena Kraljević, H. Lina Schaare, Simon B. Eickhoff, Peter Kochunov, B.T. Thomas Yeo, Shahrzad Kharabian Masouleh, Sofie L. Valk
Publikováno v:
NeuroImage, Vol 243, Iss , Pp 118561- (2021)
Cognitive abilities and affective experience are key human traits that are interrelated in behavior and brain. Individual variation of cognitive and affective traits, as well as brain structure, has been shown to partly underlie genetic effects. Howe
Externí odkaz:
https://doaj.org/article/04c9958543974d0c93a2f5687c63ce48