The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Basal forebrain activation enhances cortical coding of natural scenes
Open accessAbstract
The nucleus basalis of the basal forebrain is an essential component of the neuromodulatory system controlling the behavioral state of an animal and it is thought to be important in regulating arousal and attention. However, the effect of nucleus basalis activation on sensory processing remains poorly understood. Using polytrode recording in rat visual cortex, we found that nucleus basalis stimulation caused prominent decorrelation between neurons and marked improvement in the reliability of neuronal responses to natural scenes. The decorrelation depended on local activation of cortical muscarinic acetylcholine receptors, whereas the increased reliability involved distributed neural circuits, as evidenced by nucleus basalis–induced changes in thalamic responses. Further analysis showed that the decorrelation and increased reliability improved cortical representation of natural stimuli in a complementary manner. Thus, the basal forebrain neuromodulatory circuit, which is known to be activated during aroused and attentive states, acts through both local and distributed mechanisms to improve sensory coding.
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Cites
Berridge, C. W., & Waterhouse, B. D. (2003) · Brain Research Reviews · doi:10.1016/s0165-0173(03)00143-7 · Cited by 2,529
Uncertainty, Neuromodulation, and Attention
Yu, A. J., & Dayan, P. (2005) · Neuron · doi:10.1016/j.neuron.2005.04.026 · Cited by 1,774 · cited 1×
“and it may be involved in regulating sensory processing under different forms of uncertaint”
BackgroundCENTRAL CHOLINERGIC SYSTEMS AND COGNITION
Everitt, B. J., & Robbins, T. W. (1997) · Annual Review of Psychology · doi:10.1146/annurev.psych.48.1.649 · Cited by 1,348
Internal brain state regulates membrane potential synchrony in barrel cortex of behaving mice
Poulet, J. F. A., & Petersen, C. C. H. (2008) · Nature · doi:10.1038/nature07150 · Cited by 796
Sarter, M., Hasselmo, M. E., Bruno, J. P., & Givens, B. (2005) · Brain Research Reviews · doi:10.1016/j.brainresrev.2004.08.006 · Cited by 667
Prefrontal Acetylcholine Release Controls Cue Detection on Multiple Timescales
Parikh, V., Kozak, R., Martinez, V., & Sarter, M. (2007) · Neuron · doi:10.1016/j.neuron.2007.08.025 · Cited by 623
A synaptic memory trace for cortical receptive field plasticity
Froemke, R. C., Merzenich, M. M., & Schreiner, C. E. (2007) · Nature · doi:10.1038/nature06289 · Cited by 600
Differential regulation of neocortical synapses by neuromodulators and activity
Gil, Z., Connors, B. W., & Amitai, Y. (1997) · Neuron · doi:10.1016/s0896-6273(00)80380-3 · Cited by 553
Small modulation of ongoing cortical dynamics by sensory input during natural vision.
Fiser, J., Chiu, C., & Weliky, M. (2004) · Nature · doi:10.1038/nature02907 · Cited by 423
Cholinergic modulation of the functional organization of the cat visual cortex
Sillito, A. M., & Kemp, J. A. (1983) · Brain Research · doi:10.1016/0006-8993(83)90015-x · Cited by 387
Cited by
Modulation of visual responses by behavioral state in mouse visual cortex
Niell, C. M., & Stryker, M. P. (2010) · Neuron · doi:10.1016/j.neuron.2010.01.033 · Cited by 1,483
“Nucleus basalis stimulation in the anesthetized rat has been shown to increase the reliability of visual responses to movies of natural scenes, in part through cholinergic mechanisms (Goard and Dan, 2009), an effect that may be related to the increase in response reported here.”
Spectral fingerprints of large-scale neuronal interactions
Siegel, M., Donner, T. H., & Engel, A. K. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3137 · Cited by 1,295
Waking state: rapid variations modulate neural and behavioral responses
McGinley, M. J., Vinck, M., Reimer, J., Batista-Brito, R., Zagha, E., Cadwell, C. R., Tolias, A. S., Cardin, J. A., & McCormick, D. A. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.012 · Cited by 801
“Stimulation of the basal forebrain can have many of the same effects as those associated with arousal and locomotion, including increased amplitude and precision of sensory evoked responses (Goard and Dan, 2009; Pinto et al., 2013).”
Pupil fluctuations track rapid changes in adrenergic and cholinergic activity in cortex
Reimer, J., McGinley, M. J., Liu, Y., Rodenkirch, C., Wang, Q., McCormick, D. A., & Tolias, A. S. (2016) · Nature Communications · doi:10.1038/ncomms13289 · Cited by 926
Pupil fluctuations track fast switching of cortical states during quiet wakefulness
Reimer, J., Froudarakis, E., Cadwell, C. R., Yatsenko, D., Denfield, G. H., & Tolias, A. S. (2014) · Neuron · doi:10.1016/j.neuron.2014.09.033 · Cited by 717
“However, the potential contribution of other neuromodulators such as acetylcholine (Goard and Dan, 2009; Pinto et al., 2013) is also strongly suggested by the fact that the VIP+ activation during running has been shown to depend on cholinergic input from the diagonal band of Broca (Fu et al.”
Metadata
- Authors
- Goard, M., & Dan, Y.
- Venue
- Nature Neuroscience
- Published
- 2009-10-04
- Volume
- 12
- Issue
- 11
- Pages
- 1444-1449
- ISSN
- 1097-6256 (ISSN-L)
- 1546-1726
- OpenAlex
- W2100064861
- Cited by
- 556
- References
- 15
- FWCI
- 13.09
- Type
- journal article
- Language
- en
- Open access
- green
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