Thalamic control of sensory selection in divided attention

Nature

Volumn 526, Issue 7575, 2015, Pages 705-709

  Wimmer, Ralf D ^a   Schmitt, L Ian ^a   Davidson, Thomas J ^b   Nakajima, Miho ^a   Deisseroth, Karl ^b,c   Halassa, Michael M ^a,d  

^a NEW YORK UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b Stanford University   (United States)

^c STANFORD UNIVERSITY   (United States)

^d NEW YORK UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CHLORIDE;

AUDITORY CUE; BRAIN; CHLORIDE; COGNITION; NEUROLOGY; PHOTOMETER; RODENT; SENSORY SYSTEM; VISUAL CUE;

ANIMAL EXPERIMENT; ARTICLE; ATTENTION; AUDITORY DISCRIMINATION; AUDITORY STIMULATION; BRAIN ELECTROPHYSIOLOGY; EVOKED VISUAL RESPONSE; EXECUTIVE FUNCTION; FIRING RATE; MOUSE; NEUROIMAGING; NONHUMAN; PHOTOMETRY; PREFRONTAL CORTEX; PRIORITY JOURNAL; SENSORY CORTEX; THALAMUS; THALAMUS RETICULAR NUCLEUS; VISION; VISUAL DISCRIMINATION; VISUAL STIMULATION; ANIMAL; BIOLOGICAL MODEL; C57BL MOUSE; CINGULATE GYRUS; CYTOLOGY; MALE; NERVE CELL INHIBITION; NERVE TRACT; OPTOGENETICS; PHOTOSTIMULATION; PHYSIOLOGY; SENSORY NERVE CELL; THALAMUS NUCLEUS;

MUS;

ACOUSTIC STIMULATION; ANIMALS; ATTENTION; GYRUS CINGULI; MALE; MICE; MICE, INBRED C57BL; MODELS, NEUROLOGICAL; NEURAL INHIBITION; NEURAL PATHWAYS; OPTOGENETICS; PHOTIC STIMULATION; PREFRONTAL CORTEX; SENSORY RECEPTOR CELLS; THALAMIC NUCLEI; THALAMUS;

EID: 84945939291     PISSN: 00280836     EISSN: 14764687     Source Type: Journal    
DOI: 10.1038/nature15398     Document Type: Article

References (40)

1. Miller, E. K. & Cohen, J. D. An integrative theory of prefrontal cortex function. Annu. Rev. Neurosci. 24, 167-202 (2001).
2. Buschman, T. J. & Miller, E. K. Top-down versus bottom-up control of attention in the prefrontal and posterior parietal cortices. Science 315, 1860-1862 (2007).
3. Fritz, J., Shamma, S., Elhilali, M. & Klein, D. Rapid task-related plasticity of spectrotemporal receptive fields in primary auditory cortex. Nature Neurosci. 6, 1216-1223 (2003).
4. Rodgers, C. C. & DeWeese, M. R. Neural correlates of task switching in prefrontal cortex and primary auditory cortex in a novel stimulus selection task for rodents. Neuron 82, 1157-1170 (2014).
5. Zhang, S. et al. Selective attention. Long-range and local circuits for top-down modulation of visual cortex processing. Science 345, 660-665 (2014).
6. Glickfeld, L. L., Histed, M. H. & Maunsell, J. H. Mouse primary visual cortex is used to detect both orientation and contrast changes. J. Neurosci. 33, 19416-19422 (2013).
7. Hubel, D. H. & Wiesel, T. N. Receptive fields, binocular interaction and functional architecture in the cat's visual cortex. J. Physiol. (Lond.) 160, 106-154 (1962).
8. Newsome, W. T., Britten, K. H. & Movshon, J. A. Neuronal correlates of a perceptual decision. Nature 341, 52-54 (1989).
9. Hoover, W. B. & Vertes, R. P. Anatomical analysis of afferent projections to the medial prefrontal cortex in the rat. Brain Struct. Funct. 212, 149-179 (2007).
10. Vong, L. et al. Leptin action on GABAergic neurons prevents obesity and reduces inhibitory tone to POMC neurons. Neuron 71, 142-154 (2011).
11. Halassa, M.M. et al. Selective optical drive of thalamic reticular nucleus generates thalamic bursts and cortical spindles. Nature Neurosci. 14, 1118-1120 (2011).
12. Zhao, S. et al. Cell type-specific channelrhodopsin-2 transgenic mice for optogenetic dissection of neural circuitry function. Nature Methods 8, 745-752 (2011).
13. Fritz, J. B., David, S. V., Radtke-Schuller, S., Yin, P. & Shamma, S. A. Adaptive, behaviorally gated, persistent encoding of task-relevant auditory information in ferret frontal cortex. Nature Neurosci. 13, 1011-1019 (2010).
14. Letzkus, J. J. et al. A disinhibitory microcircuit for associative fear learning in the auditory cortex. Nature 480, 331-335 (2011).
15. McAlonan, K., Cavanaugh, J. & Wurtz, R. H. Guarding the gateway to cortex with attention in visual thalamus. Nature 456, 391-394 (2008).
16. Purushothaman, G., Marion, R., Li, K. & Casagrande, V. A. Gating and control of primary visual cortex by pulvinar. Nature Neurosci. 15, 905-912 (2012).
17. Saalmann, Y. B., Pinsk, M. A., Wang, L., Li, X. & Kastner, S. The pulvinar regulates information transmission between cortical areas based on attention demands. Science 337, 753-756 (2012).
18. Pinault, D. The thalamic reticular nucleus: structure, function and concept. Brain Res. Brain Res. Rev. 46, 1-31 (2004).
19. Crick, F. Function of the thalamic reticular complex: the searchlight hypothesis. Proc. Natl Acad. Sci. USA 81, 4586-4590 (1984).
20. Halassa, M. M. et al. State-dependent architecture of thalamic reticular subnetworks. Cell 158, 808-821 (2014).
21. O'Connor, D. H., Fukui, M. M., Pinsk, M. A. & Kastner, S. Attention modulates responses in the human lateral geniculate nucleus. Nature Neurosci. 5, 1203-1209 (2002).
22. Chen, C. & Regehr, W. G. Presynaptic modulation of the retinogeniculate synapse. J. Neurosci. 23, 3130-3135 (2003).
23. Cox, C. L., Huguenard, J. R. & Prince, D. A. Nucleus reticularis neurons mediate diverse inhibitory effects in thalamus. Proc. Natl Acad. Sci. USA 94, 8854-8859 (1997).
24. Gunaydin, L. A. et al. Natural neural projection dynamics underlying social behavior. Cell 157, 1535-1551 (2014).
25. Grimley, J. S. et al. Visualization of synaptic inhibition with an optogenetic sensor developed by cell-free protein engineering automation. J. Neurosci. 33, 16297-16309 (2013).
26. Cremers, T. & Ebert, B. Plasma and CNS concentrations of Gaboxadol in rats following subcutaneous administration. Eur. J. Pharmacol. 562, 47-52 (2007).
27. Casagrande, V. A., Sáry, G., Royal, D. & Ruiz, O. On the impact of attention and motor planning on the lateral geniculate nucleus. Prog. Brain Res. 149, 11-29 (2005).
28. Mitchell, A. S. et al. Advances in understanding mechanisms of thalamic relays in cognition and behavior. J. Neurosci. 34, 15340-15346 (2014).
29. Ress, D. & Heeger, D. J. Neuronal correlates of perception in early visual cortex. Nature Neurosci. 6, 414-420 (2003).
30. Levitan, C. A., Ban, Y. H., Stiles, N. R. & Shimojo, S. Rate perception adapts across the senses: evidence for a unified timing mechanism. Sci. Rep. 5, 8857 (2015).
31. Mareschal, I., Calder, A. J., Dadds, M. R. & Clifford, C.W. Gaze categorization under uncertainty: psychophysics and modeling. J. Vis. 13, 18 (2013).
32. Hastie, T., Tibshirani, R. & Friedman, J. The Elements of Statistical Learning: Data Mining, Inference and Prediction 2nd edn, Ch. 7 (Springer, 2009).
33. Wallace, D. J. et al. Rats maintain an overhead binocular field at the expense of constant fusion. Nature 498, 65-69 (2013).
34. Brunetti, P. M. et al. Design and fabrication of ultralight weight, adjustable multielectrode probes for electrophysiological recordings in mice. J. Vis. Exp. 91, e51675 (2014).
35. Fries, P., Neuenschwander, S., Engel, A. K., Goebel, R. & Singer, W. Rapid feature selective neuronal synchronization through correlated latency shifting. Nature Neurosci. 4, 194-200 (2001).
36. Szucs, A. Applications of the spike density function in analysis of neuronal firing patterns. J. Neurosci. Methods 81, 159-167 (1998).
37. Piscopo, D.M., El-Danaf, R. N., Huberman, A. D. & Niell, C.M. Diverse visual features encoded in mouse lateral geniculate nucleus. J. Neurosci. 33, 4642-4656 (2013).
38. De Araujo, I. E. et al. Neural ensemble coding of satiety states. Neuron 51, 483-494 (2006).
39. Ridder III, W. H. & Nusinowitz, S. The visual evoked potential in the mouse-origins and response characteristics. Vision Res. 46, 902-913 (2006).
40. Izaki, Y., Fujiwara, S. E. & Akema, T. Rat prefrontal response and prestimulation local field potential power in vivo. Neuroreport 19, 255-258 (2008).