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Akademický článek

Relationship between prediction accuracy and feature importance reliability: An empirical and theoretical study

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

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Akademický článek

Homotopic local-global parcellation of the human cerebral cortex from resting-state functional connectivity

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

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Akademický článek

Comparison between gradients and parcellations for functional connectivity prediction of behavior

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

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Akademický článek

Cross-cohort replicability and generalizability of connectivity-based psychometric prediction patterns

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

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Akademický článek

Goal-specific brain MRI harmonization

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

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Akademický článek

Proportional intracranial volume correction differentially biases behavioral predictions across neuroanatomical features, sexes, and development

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

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Akademický článek

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Akademický článek

Dynamic primitives of brain network interaction

Autor: Michael Schirner, Xiaolu Kong, B.T. Thomas Yeo, Gustavo Deco, Petra Ritter

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

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Akademický článek

Identification of community structure-based brain states and transitions using functional MRI

Autor: Lingbin Bian, Tiangang Cui, B.T. Thomas Yeo, Alex Fornito, Adeel Razi, Jonathan Keith

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

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