 Connection
Tor Wager to Connectome
This is a "connection" page, showing publications Tor Wager has written about Connectome.
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Connection Strength |
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0.476 |
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Nath T, Caffo B, Wager T, Lindquist MA. A machine learning based approach towards high-dimensional mediation analysis. Neuroimage. 2023 03; 268:119843.
Score: 0.196
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Zhu X, Helpman L, Papini S, Schneier F, Markowitz JC, Van Meter PE, Lindquist MA, Wager TD, Neria Y. Altered resting state functional connectivity of fear and reward circuitry in comorbid PTSD and major depression. Depress Anxiety. 2017 07; 34(7):641-650.
Score: 0.129
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Lee JJ, Kim HJ, Ceko M, Park BY, Lee SA, Park H, Roy M, Kim SG, Wager TD, Woo CW. A neuroimaging biomarker for sustained experimental and clinical pain. Nat Med. 2021 01; 27(1):174-182.
Score: 0.043
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Lindquist MA, Geuter S, Wager TD, Caffo BS. Modular preprocessing pipelines can reintroduce artifacts into fMRI data. Hum Brain Mapp. 2019 06 01; 40(8):2358-2376.
Score: 0.037
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Sha Z, Wager TD, Mechelli A, He Y. Common Dysfunction of Large-Scale Neurocognitive Networks Across Psychiatric Disorders. Biol Psychiatry. 2019 03 01; 85(5):379-388.
Score: 0.037
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Cremers HR, Wager TD, Yarkoni T. The relation between statistical power and inference in fMRI. PLoS One. 2017; 12(11):e0184923.
Score: 0.034
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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