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Connection

Tor Wager to Neuroimaging

This is a "connection" page, showing publications Tor Wager has written about Neuroimaging.

 
Connection Strength
 
 
 
4.922
 
  1. Kragel PA, Koban L, Barrett LF, Wager TD. Representation, Pattern Information, and Brain Signatures: From Neurons to Neuroimaging. Neuron. 2018 07 25; 99(2):257-273.
    View in: PubMed
    Score: 0.556
  2. Davis KD, Flor H, Greely HT, Iannetti GD, Mackey S, Ploner M, Pustilnik A, Tracey I, Treede RD, Wager TD. Brain imaging tests for chronic pain: medical, legal and ethical issues and recommendations. Nat Rev Neurol. 2017 Oct; 13(10):624-638.
    View in: PubMed
    Score: 0.523
  3. Reddan MC, Lindquist MA, Wager TD. Effect Size Estimation in Neuroimaging. JAMA Psychiatry. 2017 03 01; 74(3):207-208.
    View in: PubMed
    Score: 0.504
  4. Woo CW, Chang LJ, Lindquist MA, Wager TD. Building better biomarkers: brain models in translational neuroimaging. Nat Neurosci. 2017 Feb 23; 20(3):365-377.
    View in: PubMed
    Score: 0.504
  5. Woo CW, Wager TD. What reliability can and cannot tell us about pain report and pain neuroimaging. Pain. 2016 Mar; 157(3):511-513.
    View in: PubMed
    Score: 0.471
  6. Woo CW, Krishnan A, Wager TD. Cluster-extent based thresholding in fMRI analyses: pitfalls and recommendations. Neuroimage. 2014 May 01; 91:412-9.
    View in: PubMed
    Score: 0.406
  7. Thayer JF, Ahs F, Fredrikson M, Sollers JJ, Wager TD. A meta-analysis of heart rate variability and neuroimaging studies: implications for heart rate variability as a marker of stress and health. Neurosci Biobehav Rev. 2012 Feb; 36(2):747-56.
    View in: PubMed
    Score: 0.351
  8. Duff EP, Moultrie F, van der Vaart M, Goksan S, Abos A, Fitzgibbon SP, Baxter L, Wager TD, Slater R. Inferring pain experience in infants using quantitative whole-brain functional MRI signatures: a cross-sectional, observational study. Lancet Digit Health. 2020 09; 2(9):e458-e467.
    View in: PubMed
    Score: 0.160
  9. Kohoutov? L, Heo J, Cha S, Lee S, Moon T, Wager TD, Woo CW. Toward a unified framework for interpreting machine-learning models in neuroimaging. Nat Protoc. 2020 04; 15(4):1399-1435.
    View in: PubMed
    Score: 0.156
  10. Hong YW, Yoo Y, Han J, Wager TD, Woo CW. False-positive neuroimaging: Undisclosed flexibility in testing spatial hypotheses allows presenting anything as a replicated finding. Neuroimage. 2019 07 15; 195:384-395.
    View in: PubMed
    Score: 0.146
  11. Shackman AJ, Wager TD. The emotional brain: Fundamental questions and strategies for future research. Neurosci Lett. 2019 02 06; 693:68-74.
    View in: PubMed
    Score: 0.141
  12. Kraynak TE, Marsland AL, Wager TD, Gianaros PJ. Functional neuroanatomy of peripheral inflammatory physiology: A meta-analysis of human neuroimaging studies. Neurosci Biobehav Rev. 2018 11; 94:76-92.
    View in: PubMed
    Score: 0.139
  13. M?ller VI, Cieslik EC, Laird AR, Fox PT, Radua J, Mataix-Cols D, Tench CR, Yarkoni T, Nichols TE, Turkeltaub PE, Wager TD, Eickhoff SB. Ten simple rules for neuroimaging meta-analysis. Neurosci Biobehav Rev. 2018 Jan; 84:151-161.
    View in: PubMed
    Score: 0.133
  14. Atlas LY, Wager TD. A meta-analysis of brain mechanisms of placebo analgesia: consistent findings and unanswered questions. Handb Exp Pharmacol. 2014; 225:37-69.
    View in: PubMed
    Score: 0.101
  15. Buhle JT, Silvers JA, Wager TD, Lopez R, Onyemekwu C, Kober H, Weber J, Ochsner KN. Cognitive reappraisal of emotion: a meta-analysis of human neuroimaging studies. Cereb Cortex. 2014 Nov; 24(11):2981-90.
    View in: PubMed
    Score: 0.097
  16. Lindquist KA, Wager TD, Kober H, Bliss-Moreau E, Barrett LF. The brain basis of emotion: a meta-analytic review. Behav Brain Sci. 2012 Jun; 35(3):121-43.
    View in: PubMed
    Score: 0.091
  17. Lindquist KA, Wager TD, Bliss-Moreau E, Kober H, Barret LF. Authors? response: what are emotions and how are they created in the brain? Behav Brain Sci. 2012 Jun; 35(3):172-202.
    View in: PubMed
    Score: 0.091
  18. Atlas LY, Wager TD. How expectations shape pain. Neurosci Lett. 2012 Jun 29; 520(2):140-8.
    View in: PubMed
    Score: 0.089
  19. Salman MS, Wager TD, Damaraju E, Abrol A, Vergara VM, Fu Z, Calhoun VD. An Approach to Automatically Label and Order Brain Activity/Component Maps. Brain Connect. 2022 02; 12(1):85-95.
    View in: PubMed
    Score: 0.043
  20. Davis KD, Aghaeepour N, Ahn AH, Angst MS, Borsook D, Brenton A, Burczynski ME, Crean C, Edwards R, Gaudilliere B, Hergenroeder GW, Iadarola MJ, Iyengar S, Jiang Y, Kong JT, Mackey S, Saab CY, Sang CN, Scholz J, Segerdahl M, Tracey I, Veasley C, Wang J, Wager TD, Wasan AD, Pelleymounter MA. Discovery and validation of biomarkers to aid the development of safe and effective pain therapeutics: challenges and opportunities. Nat Rev Neurol. 2020 07; 16(7):381-400.
    View in: PubMed
    Score: 0.040
  21. de la Vega A, Yarkoni T, Wager TD, Banich MT. Large-scale Meta-analysis Suggests Low Regional Modularity in Lateral Frontal Cortex. Cereb Cortex. 2018 10 01; 28(10):3414-3428.
    View in: PubMed
    Score: 0.035
  22. Satpute AB, Kragel PA, Barrett LF, Wager TD, Bianciardi M. Deconstructing arousal into wakeful, autonomic and affective varieties. Neurosci Lett. 2019 02 06; 693:19-28.
    View in: PubMed
    Score: 0.034
  23. Cremers HR, Wager TD, Yarkoni T. The relation between statistical power and inference in fMRI. PLoS One. 2017; 12(11):e0184923.
    View in: PubMed
    Score: 0.033
  24. Montagna S, Wager T, Barrett LF, Johnson TD, Nichols TE. Spatial Bayesian latent factor regression modeling of coordinate-based meta-analysis data. Biometrics. 2018 03; 74(1):342-353.
    View in: PubMed
    Score: 0.032
  25. Silvers JA, Wager TD, Weber J, Ochsner KN. The neural bases of uninstructed negative emotion modulation. Soc Cogn Affect Neurosci. 2015 Jan; 10(1):10-8.
    View in: PubMed
    Score: 0.025
  26. Meissner K, Bingel U, Colloca L, Wager TD, Watson A, Flaten MA. The placebo effect: advances from different methodological approaches. J Neurosci. 2011 Nov 09; 31(45):16117-24.
    View in: PubMed
    Score: 0.022
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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