Erratum to: Thalamic projections sustain prefrontal activity during working memory maintenance (Nature Neuroscience, (2017), 20, 7, (987-996), 10.1038/nn.4568);Thalamic projections sustain prefrontal activity during working memory maintenance

Nature Neuroscience

Volumn 20, Issue 7, 2017, Pages 987-996

  Bolkan, Scott S ^a   Stujenske, Joseph M ^a   Parnaudeau, Sebastien ^b   Spellman, Timothy J ^c   Rauffenbart, Caroline ^a,d   Abbas, Atheir I ^a,d   Harris, Alexander Z ^a,d   Gordon, Joshua A ^a,d,e   Kellendonk, Christoph ^a,d  

^a Department of Neurology and the Taub Institute for Research on Alzheimer's Disease and the Aging Brain   (United States)

^b SORBONNE UNIVERSITÉ   (France)

^c FEIL FAMILY BRAIN AND MIND RESEARCH INSTITUTE   (United States)

^d NEW YORK STATE PSYCHIATRIC INSTITUTE   (United States)

^e NATIONAL INSTITUTE OF MENTAL HEALTH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

GLASS FIBER; PROTON PUMP; SYNAPTOPHYSIN;

ANIMAL EXPERIMENT; ANIMAL TISSUE; ARTICLE; BRAIN NERVE CELL; CONTROLLED STUDY; CORTICAL EXCITABILITY; FUNCTIONAL CONNECTIVITY; FUNCTIONAL NEUROIMAGING; HIPPOCAMPUS; MALE; MEDIODORSAL THALAMUS; MEMORY ASSESSMENT; MOUSE; NONHUMAN; OPTOGENETICS; PREFRONTAL CORTEX; PRIORITY JOURNAL; SPATIAL MEMORY; TASK PERFORMANCE; THALAMUS; VENTRAL HIPPOCAMPUS; WORKING MEMORY; ACTION POTENTIAL; ANIMAL; DECISION MAKING; HUMAN; MAZE TEST; NERVE CELL; NERVE TRACT; PHYSIOLOGY; SHORT TERM MEMORY; TIME FACTOR;

ACTION POTENTIALS; ANIMALS; CHOICE BEHAVIOR; HIPPOCAMPUS; HUMANS; MALE; MAZE LEARNING; MEMORY, SHORT-TERM; MICE; NEURAL PATHWAYS; NEURONS; PREFRONTAL CORTEX; SPATIAL MEMORY; THALAMUS; TIME FACTORS;

EID: 85020395534     PISSN: 10976256     EISSN: 15461726     Source Type: Journal    
DOI: 10.1038/s41593-018-0132-2     Document Type: Erratum

References (55)

1. Fuster, J.M. The Prefrontal Cortex. Anatomy, Physiology, and Neuropsychology of the Frontal Lobe. 2nd ed. (Raven, 1989).
2. Minzenberg, M.J., Laird, A.R., Thelen, S., Carter, C.S. & Glahn, D.C. Meta-analysis of 41 functional neuroimaging studies of executive function in schizophrenia. Arch. Gen. Psychiatry 66, 811-822 (2009).
3. Weinberger, D.R. & Berman, K.F. Prefrontal function in schizophrenia: confounds and controversies. Phil. Trans. R. Soc. Lond. B 351, 1495-1503 (1996).
4. Perlstein, W.M., Carter, C.S., Noll, D.C. & Cohen, J.D. Relation of prefrontal cortex dysfunction to working memory and symptoms in schizophrenia. Am. J. Psychiatry 158, 1105-1113 (2001).
5. Mitchell, A.S. The mediodorsal thalamus as a higher order thalamic relay nucleus important for learning and decision-making. Neurosci. Biobehav. Rev. 54, 76-88 (2015).
6. Saalmann, Y.B. Intralaminar and medial thalamic influence on cortical synchrony, information transmission and cognition. Front. Syst. Neurosci. 8, 83 (2014).
7. Baxter, M.G. Mediodorsal thalamus and cognition in non-human primates. Front. Syst. Neurosci. 7, 38 (2013).
8. Jones, E.G. The Thalamus (2nd Edition). (Cambridge University Press, 2007).
9. Parnaudeau, S. et al. Mediodorsal thalamus hypofunction impairs flexible goaldirected behavior. Biol. Psychiatry 77, 445-453 (2015).
10. Parnaudeau, S. et al. Inhibition of mediodorsal thalamus disrupts thalamofrontal connectivity and cognition. Neuron 77, 1151-1162 (2013).
11. Browning, P.G., Chakraborty, S. & Mitchell, A.S. Evidence for mediodorsal thalamus and prefrontal cortex interactions during cognition in macaques. Cereb. Cortex 25, 4519-4534 (2015).
12. Bailey, K.R. & Mair, R.G. Lesions of specific and nonspecific thalamic nuclei affect prefrontal cortex-dependent aspects of spatial working memory. Behav. Neurosci. 119, 410-419 (2005).
13. Byne, W., Hazlett, E.A., Buchsbaum, M.S. & Kemether, E. The thalamus and schizophrenia: current status of research. Acta Neuropathol. 117, 347-368 (2009).
14. Andrews, J., Wang, L., Csernansky, J.G., Gado, M.H. & Barch, D.M. Abnormalities of thalamic activation and cognition in schizophrenia. Am. J. Psychiatry 163, 463-469 (2006).
15. Woodward, N.D., Karbasforoushan, H. & Heckers, S. Thalamocortical dysconnectivity in schizophrenia. Am. J. Psychiatry 169, 1092-1099 (2012).
16. Anticevic, A. et al. Characterizing thalamo-cortical disturbances in schizophrenia and bipolar illness. Cereb. Cortex 24, 3116-3130 (2014).
17. Anticevic, A. et al. Association of thalamic dysconnectivity and conversion to psychosis in youth and young adults at elevated clinical risk. JAMA Psychiatry 72, 882-891 (2015).
18. Spellman, T. et al. Hippocampal-prefrontal input supports spatial encoding in working memory. Nature 522, 309-314 (2015).
19. Ray, J.P. & Price, J.L. The organization of projections from the mediodorsal nucleus of the thalamus to orbital and medial prefrontal cortex in macaque monkeys. J. Comp. Neurol. 337, 1-31 (1993).
20. Groenewegen, H.J. Organization of the afferent connections of the mediodorsal thalamic nucleus in the rat, related to the mediodorsal-prefrontal topography. Neuroscience 24, 379-431 (1988).
21. Alcaraz, F., Marchand, A.R., Courtand, G., Coutureau, E. & Wolff, M. Parallel inputs from the mediodorsal thalamus to the prefrontal cortex in the rat. Eur. J. Neurosci. 44, 1972-1986 (2016).
22. Mátyás, F., Lee, J., Shin, H.S. & Acsády, L. The fear circuit of the mouse forebrain: connections between the mediodorsal thalamus, frontal cortices and basolateral amygdala. Eur. J. Neurosci. 39, 1810-1823 (2014).
23. Kellendonk, C. et al. Transient and selective overexpression of dopamine D2 receptors in the striatum causes persistent abnormalities in prefrontal cortex functioning. Neuron 49, 603-615 (2006).
24. Yoon, T., Okada, J., Jung, M.W. & Kim, J.J. Prefrontal cortex and hippocampus subserve different components of working memory in rats. Learn. Mem. 15, 97-105 (2008).
25. Padilla-Coreano, N. et al. Direct ventral hippocampal-prefrontal input is required for anxiety-related neural activity and behavior. Neuron 89, 857-866 (2016).
26. Stujenske, J.M., Spellman, T. & Gordon, J.A. Modeling the spatiotemporal dynamics of light and heat propagation for in vivo optogenetics. Cell Rep. 12, 525-534 (2015).
27. Adhikari, A., Sigurdsson, T., Topiwala, M.A. & Gordon, J.A. Cross-correlation of instantaneous amplitudes of field potential oscillations: a straightforward method to estimate the directionality and lag between brain areas. J. Neurosci. Methods 191, 191-200 (2010).
28. Jung, M.W., Qin, Y., McNaughton, B.L. & Barnes, C.A. Firing characteristics of deep layer neurons in prefrontal cortex in rats performing spatial working memory tasks. Cereb. Cortex 8, 437-450 (1998).
29. Fujisawa, S., Amarasingham, A., Harrison, M.T. & Buzsáki, G. Behavior-dependent short-term assembly dynamics in the medial prefrontal cortex. Nat. Neurosci. 11, 823-833 (2008).
30. Harvey, C.D., Coen, P. & Tank, D.W. Choice-specific sequences in parietal cortex during a virtual-navigation decision task. Nature 484, 62-68 (2012).
31. Baeg, E.H. et al. Dynamics of population code for working memory in the prefrontal cortex. Neuron 40, 177-188 (2003).
32. Mello, G.B., Soares, S. & Paton, J.J. A scalable population code for time in the striatum. Curr. Biol. 25, 1113-1122 (2015).
33. Akhlaghpour, H. et al. Dissociated sequential activity and stimulus encoding in the dorsomedial striatum during spatial working memory. Elife 5, e19507 (2016).
34. Yizhar, O. et al. Neocortical excitation/inhibition balance in information processing and social dysfunction. Nature 477, 171-178 (2011).
35. Goldman-Rakic, P.S. Cellular basis of working memory. Neuron 14, 477-485 (1995).
36. Funahashi, S. Space representation in the prefrontal cortex. Prog. Neurobiol. 103, 131-155 (2013).
37. Rao, S.C., Rainer, G. & Miller, E.K. Integration of what and where in the primate prefrontal cortex. Science 276, 821-824 (1997).
38. Fuster, J.M. Unit activity in prefrontal cortex during delayed-response performance: neuronal correlates of transient memory. J. Neurophysiol. 36, 61-78 (1973).
39. Niki, H. Differential activity of prefrontal units during right and left delayed response trials. Brain Res. 70, 346-349 (1974).
40. Niki, H. Prefrontal unit activity during delayed alternation in the monkey. I. Relation to direction of response. Brain Res. 68, 185-196 (1974).
41. Rich, E.L. & Shapiro, M. Rat prefrontal cortical neurons selectively code strategy switches. J. Neurosci. 29, 7208-7219 (2009).
42. Durstewitz, D., Vittoz, N.M., Floresco, S.B. & Seamans, J.K. Abrupt transitions between prefrontal neural ensemble states accompany behavioral transitions during rule learning. Neuron 66, 438-448 (2010).
43. Wallis, J.D., Anderson, K.C. & Miller, E.K. Single neurons in prefrontal cortex encode abstract rules. Nature 411, 953-956 (2001).
44. Cromer, J.A., Roy, J.E. & Miller, E.K. Representation of multiple, independent categories in the primate prefrontal cortex. Neuron 66, 796-807 (2010).
45. Schmitt, L. I. et al. Sustaining cortical representations by a content-free thalamic amplifier. Nature http://dx.doi.org/10.1038/nature22073 (2017).
46. Narayanan, N.S. & Laubach, M. Top-down control of motor cortex ensembles by dorsomedial prefrontal cortex. Neuron 52, 921-931 (2006).
47. Sherman, S.M. & Guillery, R.W. The role of the thalamus in the flow of information to the cortex. Phil. Trans. R. Soc. Lond. B 357, 1695-1708 (2002).
48. Oh, S.W. et al. A mesoscale connectome of the mouse brain. Nature 508, 207-214 (2014).
49. Hunnicutt, B.J. et al. A comprehensive thalamocortical projection map at the mesoscopic level. Nat. Neurosci. 17, 1276-1285 (2014).
50. Bolkan, S.S., Carvalho Poyraz, F. & Kellendonk, C. Using human brain imaging studies as a guide toward animal models of schizophrenia. Neuroscience 321, 77-98 (2016).
51. Johansson, J.D. Spectroscopic method for determination of the absorption coefficient in brain tissue. J. Biomed. Opt. 15, 057005 (2010).
52. Mattis, J. et al. Principles for applying optogenetic tools derived from direct comparative analysis of microbial opsins. Nat. Methods 9, 159-172 (2011).
53. Paxinos, G. & Franklin, K.B.J. The Mouse Brain in Stereotaxic Coordinates. (Academic Press, 2001).
54. Delevich, K., Tucciarone, J., Huang, Z.J. & Li, B. The mediodorsal thalamus drives feedforward inhibition in the anterior cingulate cortex via parvalbumin interneurons. J. Neurosci. 35, 5743-5753 (2015).
55. Vinck, M., van Wingerden, M., Womelsdorf, T., Fries, P. & Pennartz, C.M. The pairwise phase consistency: a bias-free measure of rhythmic neuronal synchronization. Neuroimage 51, 112-122 (2010).