Yeo, B. T. Thomas

The organization of the human cerebellum estimated by intrinsic functional connectivity

Buckner, R. L., Krienen, F. M., Castellanos, A., Diaz, J. C., & Yeo, B. T. T. (2011) · Journal of Neurophysiology

Functional Brain Connectivity StudiesMotor Control and Adaptation

Cited by 7,304

Local-global parcellation of the human cerebral cortex from intrinsic functional connectivity MRI

Schaefer, A., Kong, R., Gordon, E. M., Laumann, T. O., Zuo, X.-N., Holmes, A. J., Eickhoff, S. B., & Yeo, B. T. T. (2018) · Cerebral Cortex

Functional Brain Connectivity StudiesAdvanced MRI Techniques and Applications

Cited by 3,657

Brain charts for the human lifespan

Bethlehem, R. A. I., Seidlitz, J., White, S. R., Vogel, J. W., Anderson, K. M., Adamson, C., Adler, S., Alexopoulos, G. S., Anagnostou, E., Areces-Gonzalez, A., et al. (2022) · Nature

Advanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity Studies

Cited by 1,794

Opportunities and limitations of intrinsic functional connectivity MRI

Buckner, R. L., Krienen, F. M., & Yeo, B. T. T. (2013) · Nature Neuroscience

Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and Applications

Cited by 912

The organization of the human striatum estimated by intrinsic functional connectivity

Choi, E. Y., Yeo, B. T. T., & Buckner, R. L. (2012) · Journal of Neurophysiology

Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and Applications

Cited by 746

Cortical folding patterns and predicting cytoarchitecture

Fischl, B., Rajendran, N., Busa, E., Augustinack, J., Hinds, O., Yeo, B. T. T., Mohlberg, H., Amunts, K., & Zilles, K. (2008) · Cerebral Cortex

Advanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity Studies

Cited by 737

Best practices in data analysis and sharing in neuroimaging using MRI

Nichols, T. E., Das, S., Eickhoff, S. B., Evans, A. C., Glatard, T., Hanke, M., Kriegeskorte, N., Milham, M. P., Poldrack, R. A., Poline, J.-B., et al. (2017) · Nature Neuroscience

Research Data Management PracticesScientific Computing and Data Management

Cited by 714

Towards a universal taxonomy of macro-scale functional human brain networks

Uddin, L. Q., Yeo, B. T. T., & Spreng, R. N. (2019) · Brain Topography

Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and Applications

Cited by 683

Imaging-based parcellations of the human brain

Eickhoff, S. B., Yeo, B. T. T., & Genon, S. (2018) · Nature reviews. Neuroscience

Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and Applications

Cited by 484

Disruption of cortical association networks in schizophrenia and psychotic bipolar disorder

Baker, J. T., Holmes, A. J., Masters, G. A., Yeo, B. T. T., Krienen, F., Buckner, R. L., & Öngür, D. (2014) · JAMA Psychiatry

Functional Brain Connectivity StudiesSchizophrenia research and treatment

Cited by 435

Global signal regression strengthens association between resting-state functional connectivity and behavior

Li, J., Kong, R., Liégeois, R., Orban, C., Tan, Y., Sun, N., Holmes, A. J., Sabuncu, M. R., Ge, T., & Yeo, B. T. T. (2019) · NeuroImage

Functional Brain Connectivity StudiesAdvanced MRI Techniques and Applications

Cited by 380

Reconfigurable task-dependent functional coupling modes cluster around a core functional architecture

Krienen, F. M., Yeo, B. T. T., & Buckner, R. L. (2014) · Philosophical Transactions of the Royal Society B Biological Sciences

Functional Brain Connectivity StudiesNeural dynamics and brain function

Cited by 372

Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets

Schulz, M.-A., Yeo, B. T. T., Vogelstein, J. T., Mourao-Miranada, J., Kather, J. N., Kording, K., Richards, B., & Bzdok, D. (2020) · Nature Communications

Machine Learning in HealthcareNeural Networks and Applications

Cited by 315

Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics

He, T., Kong, R., Holmes, A. J., Nguyen, M., Sabuncu, M. R., Eickhoff, S. B., Bzdok, D., Feng, J., & Yeo, B. T. T. (2020) · NeuroImage

Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and Applications

Cited by 271

Evaluation of volume-based and surface-based brain image registration methods

Klein, A., Ghosh, S. S., Avants, B., Yeo, B. T. T., Fischl, B., Ardekani, B., Gee, J. C., Mann, J. J., & Parsey, R. V. (2010) · NeuroImage

Medical Image Segmentation TechniquesFunctional Brain Connectivity Studies

Cited by 255

The default network of the human brain is associated with perceived social isolation

Spreng, R. N., Dimas, E., Mwilambwe-Tshilobo, L., Dagher, A., Koellinger, P., Nave, G., Ong, A., Kernbach, J. M., Wiecki, T. V., Ge, T., et al. (2020) · Nature Communications

Functional Brain Connectivity StudiesHealth disparities and outcomes

Cited by 236

Transcriptional profiles of supragranular-enriched genes associate with corticocortical network architecture in the human brain

Krienen, F. M., Yeo, B. T. T., Ge, T., Buckner, R. L., & Sherwood, C. C. (2016) · Proceedings of the National Academy of Sciences

Functional Brain Connectivity StudiesSingle-cell and spatial transcriptomics

Cited by 190

Gene expression links functional networks across cortex and striatum

Anderson, K. M., Krienen, F. M., Choi, E. Y., Reinen, J. M., Yeo, B. T. T., & Holmes, A. J. (2018) · Nature Communications

Functional Brain Connectivity StudiesBioinformatics and Genomic Networks

Cited by 138

One size does not fit all: Methodological considerations for brain-based predictive modeling in psychiatry

Dhamala, E., Yeo, B. T. T., & Holmes, A. J. (2023) · Biological Psychiatry

Functional Brain Connectivity StudiesArtificial Intelligence in Healthcare

Cited by 91

The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up

Marinescu, R. V., Oxtoby, N. P., Young, A. L., Bron, E. E., Toga, A. W., Weiner, M. W., Barkhof, F., Fox, N. C., Eshaghi, A., Toni, T., et al. (2021) · Machine Learning for Biomedical Imaging

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 68

Deep Neural Networks and Kernel Regression Achieve Comparable Accuracies for Functional Connectivity Prediction of Behavior and Demographics

He, T., Kong, R., Holmes, A. J., Nguyen, M., Sabuncu, M. R., Eickhoff, S. B., Bzdok, D., Feng, J., & Yeo, B. T. T. (2018) · bioRxiv (Cold Spring Harbor Laboratory)

Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and Applications

Cited by 16