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B.T. Thomas Yeo

Researcher at National University of Singapore

Publications -  182
Citations -  23010

B.T. Thomas Yeo is an academic researcher from National University of Singapore. The author has contributed to research in topics: Medicine & Cognition. The author has an hindex of 44, co-authored 142 publications receiving 15401 citations. Previous affiliations of B.T. Thomas Yeo include VU University Amsterdam & Harvard University.

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The organization of the human cerebral cortex estimated by intrinsic functional connectivity

TL;DR: In this paper, the organization of networks in the human cerebrum was explored using resting-state functional connectivity MRI data from 1,000 subjects and a clustering approach was employed to identify and replicate networks of functionally coupled regions across the cerebral cortex.
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Local-Global Parcellation of the Human Cerebral Cortex from Intrinsic Functional Connectivity MRI

TL;DR: The results suggest that gwMRF parcellations reveal neurobiologically meaningful features of brain organization and are potentially useful for future applications requiring dimensionality reduction of voxel-wise fMRI data.
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Individual Variability in Functional Connectivity Architecture of the Human Brain

TL;DR: Using repeated-measurement resting-state functional MRI to explore intersubject variability in connectivity revealed that regions predicting individual differences in cognitive domains are predominantly located in regions of high connectivity variability.
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Opportunities and limitations of intrinsic functional connectivity MRI

TL;DR: The potential of fcMRI is discussed in the context of its limitations, suggesting that it is constrained by, but not fully dictated by, anatomic connectivity.
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Cortical Folding Patterns and Predicting Cytoarchitecture

TL;DR: In this article, the human cerebral cortex is made up of a mosaic of structural areas, frequently referred to as Brodmann areas (BAs), and it is shown that higher order cortical areas exhibit more variability than primary and secondary areas and that the folds are much better predictors of the BAs than had been previously thought.