Imaging-based parcellations of the human brain von Eickhoff, Simon B., Yeo, B. T. Thomas, Genon, Sarah

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Towards a Universal Taxonomy of Macro-scale Functional Human Brain Networks von Uddin, Lucina Q., Yeo, B. T. Thomas, Spreng, R. Nathan

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Inference in the age of big data: Future perspectives on neuroscience von Bzdok, Danilo, Yeo, B.T. Thomas

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Individual-Specific Areal-Level Parcellations Improve Functional Connectivity Prediction of Behavior von Kong, Ru, Yang, Qing, Gordon, Evan, Xue, Aihuiping, Yan, Xiaoxuan, Orban, Csaba, Zuo, Xi-Nian, Spreng, Nathan, Ge, Tian, Holmes, Avram, Eickhoff, Simon, Yeo, B T Thomas

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Local-Global Parcellation of the Human Cerebral Cortex from Intrinsic Functional Connectivity MRI von Schaefer, Alexander, Kong, Ru, Gordon, Evan M, Laumann, Timothy O, Zuo, Xi-Nian, Holmes, Avram J, Eickhoff, Simon B, Yeo, B T Thomas

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Sex Classification by Resting State Brain Connectivity von Weis, Susanne, Patil, Kaustubh R, Hoffstaedter, Felix, Nostro, Alessandra, Yeo, B T Thomas, Eickhoff, Simon B

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Opportunities and limitations of intrinsic functional connectivity MRI von Buckner, Randy L, Krienen, Fenna M, Yeo, B T Thomas

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Spatial Topography of Individual-Specific Cortical Networks Predicts Human Cognition, Personality, and Emotion von Kong, Ru, Li, Jingwei, Orban, Csaba, Sabuncu, Mert R, Liu, Hesheng, Schaefer, Alexander, Sun, Nanbo, Zuo, Xi-Nian, Holmes, Avram J, Eickhoff, Simon B, Yeo, B T Thomas

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Proportional thresholding in resting-state fMRI functional connectivity networks and consequences for patient-control connectome studies: Issues and recommendations von van den Heuvel, Martijn P., de Lange, Siemon C., Zalesky, Andrew, Seguin, Caio, Yeo, B.T. Thomas, Schmidt, Ruben

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One Size Does Not Fit All: Methodological Considerations for Brain-Based Predictive Modeling in Psychiatry von Dhamala, Elvisha, Yeo, B.T. Thomas, Holmes, Avram J.

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Topographic organization of the cerebral cortex and brain cartography von Eickhoff, Simon B., Constable, R. Todd, Yeo, B.T. Thomas

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Somatosensory-Motor Dysconnectivity Spans Multiple Transdiagnostic Dimensions of Psychopathology von Kebets, Valeria, Holmes, Avram J, Orban, Csaba, Tang, Siyi, Li, Jingwei, Sun, Nanbo, Kong, Ru, Poldrack, Russell A, Yeo, B.T. Thomas

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Global signal regression strengthens association between resting-state functional connectivity and behavior von Li, Jingwei, Kong, Ru, Liégeois, Raphaël, Orban, Csaba, Tan, Yanrui, Sun, Nanbo, Holmes, Avram J., Sabuncu, Mert R., Ge, Tian, Yeo, B.T. Thomas

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Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets von Schulz, Marc-Andre, Yeo, B. T. Thomas, Vogelstein, Joshua T., Mourao-Miranada, Janaina, Kather, Jakob N., Kording, Konrad, Richards, Blake, Bzdok, Danilo

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Predicting Alzheimer's disease progression using deep recurrent neural networks von Nguyen, Minh, He, Tong, An, Lijun, Alexander, Daniel C., Feng, Jiashi, Yeo, B.T. Thomas

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Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics von He, Tong, Kong, Ru, Holmes, Avram J., Nguyen, Minh, Sabuncu, Mert R., Eickhoff, Simon B., Bzdok, Danilo, Feng, Jiashi, Yeo, B.T. Thomas

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Resting brain dynamics at different timescales capture distinct aspects of human behavior von Liégeois, Raphaël, Li, Jingwei, Kong, Ru, Orban, Csaba, Van De Ville, Dimitri, Ge, Tian, Sabuncu, Mert R., Yeo, B. T. Thomas

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Interpreting temporal fluctuations in resting-state functional connectivity MRI von Liégeois, Raphaël, Laumann, Timothy O., Snyder, Abraham Z., Zhou, Juan, Yeo, B.T. Thomas

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High-resolution connectomic fingerprints: Mapping neural identity and behavior von Mansour L, Sina, Tian, Ye, Yeo, B.T. Thomas, Cropley, Vanessa, Zalesky, Andrew

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Toward Neurosubtypes in Autism von Hong, Seok-Jun, Vogelstein, Joshua T., Gozzi, Alessandro, Bernhardt, Boris C., Yeo, B.T. Thomas, Milham, Michael P., Di Martino, Adriana

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