Subthalamic nucleus stimulation reverses mediofrontal influence over decision threshold (original) (raw)

References

  1. Miller, E.K. The prefrontal cortex and cognitive control. Nat. Rev. Neurosci. 1, 59–65 (2000).
    Article CAS Google Scholar
  2. Miller, E.K. & Cohen, J.D. An integrative theory of prefrontal cortex function. Annu. Rev. Neurosci. 24, 167–202 (2001).
    Article CAS Google Scholar
  3. Botvinick, M.M., Braver, T.S., Barch, D.M., Carter, C.S. & Cohen, J.D. Conflict monitoring and cognitive control. Psychol. Rev. 108, 624–652 (2001).
    Article CAS Google Scholar
  4. Yeung, N., Botvinick, M.M. & Cohen, J.D. The neural basis of error detection: conflict monitoring and the error-related negativity. Psychol. Rev. 111, 931–959 (2004).
    Article Google Scholar
  5. Frank, M.J. Hold your horses: a dynamic computational role for the subthalamic nucleus in decision making. Neural Netw. 19, 1120–1136 (2006).
    Article Google Scholar
  6. Nambu, A., Tokuno, H. & Takada, M. Functional significance of the cortico-subthalamo-pallidal 'hyperdirect' pathway. Neurosci. Res. 43, 111–117 (2002).
    Article Google Scholar
  7. Aron, A.R., Behrens, T.E., Smith, S., Frank, M.J. & Poldrack, R.A. Triangulating a cognitive control network using diffusion-weighted magnetic resonance imaging (MRI) and functional MRI. J. Neurosci. 27, 3743–3752 (2007).
    Article CAS Google Scholar
  8. Inase, M., Tokuno, H., Nambu, A., Akazawa, T. & Takada, M. Corticostriatal and corticosubthalamic input zones from the presupplementary motor area in the macaque monkey: comparison with the input zones from the supplementary motor area. Brain Res. 833, 191–201 (1999).
    Article CAS Google Scholar
  9. Takada, M. et al. Organization of inputs from cingulate motor areas to basal ganglia in macaque monkey. Eur. J. Neurosci. 14, 1633–1650 (2001).
    Article CAS Google Scholar
  10. Isoda, M. & Hikosaka, O. Switching from automatic to controlled action by monkey medial frontal cortex. Nat. Neurosci. 10, 240–248 (2007).
    Article CAS Google Scholar
  11. Isoda, M. & Hikosaka, O. Role for subthalamic nucleus neurons in switching from automatic to controlled eye movement. J. Neurosci. 28, 7209–7218 (2008).
    Article CAS Google Scholar
  12. Fleming, S.M., Thomas, C.L. & Dolan, R.J. Overcoming status quo bias in the human brain. Proc. Natl. Acad. Sci. USA 107, 6005–6009 (2010).
    Article CAS Google Scholar
  13. Neubert, F.X., Mars, R.B., Buch, E.R., Olivier, E. & Rushworth, M.F. Cortical and subcortical interactions during action reprogramming and their related white matter pathways. Proc. Natl. Acad. Sci. USA 107, 13240–13245 (2010).
    Article Google Scholar
  14. Hälbig, T.D. et al. Subthalamic deep brain stimulation and impulse control in Parkinson's disease. Eur. J. Neurol. 16, 493–497 (2009).
    Article Google Scholar
  15. Frank, M.J., Samanta, J., Moustafa, A.A. & Sherman, S.J. Hold your horses: impulsivity, deep brain stimulation, and medication in parkinsonism. Science 318, 1309–1312 (2007).
    Article CAS Google Scholar
  16. Ratcliff, R. & McKoon, G. The diffusion decision model: theory and data for two-choice decision tasks. Neural Comput. 20, 873–922 (2008).
    Article Google Scholar
  17. Cavanagh, J.F., Cohen, M.X. & Allen, J.J. Prelude to and resolution of an error: EEG phase synchrony reveals cognitive control dynamics during action monitoring. J. Neurosci. 29, 98–105 (2009).
    Article CAS Google Scholar
  18. Cavanagh, J.F., Frank, M.J., Klein, T.J. & Allen, J.J.B. Frontal theta links prediction errors to behavioral adaptation in reinforcement learning. Neuroimage 49, 3198–3209 (2010).
    Article Google Scholar
  19. Cohen, M.X. & Cavanagh, J.F. Single-trial regression elucidates the role of prefrontal theta oscillations in response conflict. Front. Psychol. 2, 1–12 (2011).
    Article Google Scholar
  20. Hanslmayr, S. et al. The electrophysiological dynamics of interference during the Stroop task. J. Cogn. Neurosci. 20, 215–225 (2008).
    Article Google Scholar
  21. Voss, A. & Voss, J. A fast numerical algorithm for the estimation of diffusion-model parameters. J. Math. Psychol. 52, 1–9 (2008).
    Article Google Scholar
  22. Bogacz, R. & Gurney, K. The basal ganglia and cortex implement optimal decision making between alternative actions. Neural Comput. 19, 442–477 (2007).
    Article Google Scholar
  23. Forstmann, B.U. et al. Striatum and pre-SMA facilitate decision-making under time pressure. Proc. Natl. Acad. Sci. USA 105, 17538–17542 (2008).
    Article CAS Google Scholar
  24. Forstmann, B.U. et al. Cortico-striatal connections predict control over speed and accuracy in perceptual decision making. Proc. Natl. Acad. Sci. USA 107, 15916–15920 (2010).
    Article CAS Google Scholar
  25. Lo, C.C. & Wang, X.J. Cortico-basal ganglia circuit mechanism for a decision threshold in reaction time tasks. Nat. Neurosci. 9, 956–963 (2006).
    Article CAS Google Scholar
  26. Hutchison, W.D. et al. Neurophysiological identification of the subthalamic nucleus in surgery for Parkinson's disease. Ann. Neurol. 44, 622–628 (1998).
    Article CAS Google Scholar
  27. Tass, P. et al. The causal relationship between subcortical local field potential oscillations and Parkinsonian resting tremor. J. Neural Eng. 7, 16009 (2010).
    Article Google Scholar
  28. Humphries, M.D., Stewart, R.D. & Gurney, K.N. A physiologically plausible model of action selection and oscillatory activity in the basal ganglia. J. Neurosci. 26, 12921–12942 (2006).
    Article CAS Google Scholar
  29. Thobois, S. et al. STN stimulation alters pallidal-frontal coupling during response selection under competition. J. Cereb. Blood Flow Metab. 27, 1173–1184 (2007).
    Article Google Scholar
  30. Delorme, A. & Makeig, S. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. J. Neurosci. Methods 134, 9–21 (2004).
    Article Google Scholar
  31. Kayser, J. & Tenke, C.E. Principal components analysis of Laplacian waveforms as a generic method for identifying ERP generator patterns. I. Evaluation with auditory oddball tasks. Clin. Neurophysiol. 117, 348–368 (2006).
    Article Google Scholar
  32. Krajbich, I., Armel, C. & Rangel, A. Visual fixations and the computation and comparison of value in simple choice. Nat. Neurosci. 13, 1292–1298 (2010).
    Article CAS Google Scholar
  33. Lee, M.D., Fuss, I. & Navarro, D.J. in Advances in Neural Information Processing Systems (eds. B. Scholkopf, J. Platt & T. Hoffman) 809–815 (MIT Press, Cambridge, Massachusetts, 2007).
  34. Vandekerckhove, J., Tuerlinckx, F. & Lee, M.D. Hierarchical diffusion models for two-choice response time. Psychol. Methods 16, 44–62 (2011).
    Article Google Scholar
  35. Gelman, A. Bayesian Data Analysis 2nd edn. (Chapman & Hall/CRC, 2004).
  36. Frank, M.J. & Claus, E.D. Anatomy of a decision: striato-orbitofrontal interactions in reinforcement learning, decision making, and reversal. Psychol. Rev. 113, 300–326 (2006).
    Article Google Scholar
  37. Nichols, T.E. & Holmes, A.P. Nonparametric permutation tests for functional neuroimaging: a primer with examples. Hum. Brain Mapp. 15, 1–25 (2002).
    Article Google Scholar

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