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A Cortical Circuit for Gain Control by Behavioral State
Open accessAbstract
The brain's response to sensory input is strikingly modulated by behavioral state. Notably, the visual response of mouse primary visual cortex (V1) is enhanced by locomotion, a tractable and accessible example of a time-locked change in cortical state. The neural circuits that transmit behavioral state to sensory cortex to produce this modulation are unknown. In vivo calcium imaging of behaving animals revealed that locomotion activates vasoactive intestinal peptide (VIP)-positive neurons in mouse V1 independent of visual stimulation and largely through nicotinic inputs from basal forebrain. Optogenetic activation of VIP neurons increased V1 visual responses in stationary awake mice, artificially mimicking the effect of locomotion, and photolytic damage of VIP neurons abolished the enhancement of V1 responses by locomotion. These findings establish a cortical circuit for the enhancement of visual response by locomotion and provide a potential common circuit for the modulation of sensory processing by behavioral state.
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“More recently, a number of functional studies in both hippocampus and neocortex have taken advantage of transgenic animals and modern circuit mapping tools to functionally confirm that subsets of CR- and VIP-expressing interneurons do indeed mediate circuit disinhibition by selectively targeting other interneurons over pyramidal cells (185, 363, 652, 906, 908, 1145, 1270).”
From Hippocampal GABAergic Inhibitory Interneurons (2017) · cites this paper as [363]
In the citing paper
“This disinhibitory motif is also common to the neocortex where a majority of vertically oriented bipolar VIP and CR coexpressing interneurons reside in layer2/3 and emit axons that preferentially innervate dendrite targeting SST expressing interneurons within the same column (168, 363, 425, 475, 553, 652, 906, 928, 1046, 1134, 1270).”
From Hippocampal GABAergic Inhibitory Interneurons (2017) · cites this paper as [363]
In the citing paper
“Indeed, these driver lines have been successfully used in a number of recent studies to dissect circuit functions of ISIs in both hippocampus and neocortex (363, 553, 652, 906, 908, 1145, 1270).”
From Hippocampal GABAergic Inhibitory Interneurons (2017) · cites this paper as [363]
In the citing paper
“The targeting of SST interneurons by VIP cells appears to be a generalized motif across brain structures including somatosensory, visual, and auditory cortices, and this specific disinhibitory microcircuit is important in sensory processing that, in some circumstances, demonstrates behavioral state dependence (363, 553, 660, 905, 906, 908, 1246, 1270).”
From Hippocampal GABAergic Inhibitory Interneurons (2017) · cites this paper as [363]
In the citing paper
“Cholinergic receptors are expressed by inhibitory and excitatory cortical neurons119,124,158–164, as well as on the terminals of thalamocortical neurons165–169.”
From Mechanisms underlying gain modulation in the cortex (2020) · cites this paper as [119]
In the citing paper
“In particular, VIP+ interneurons express nAChRs and are strongly depolarized by nicotine or ACh119,124,163.”
From Mechanisms underlying gain modulation in the cortex (2020) · cites this paper as [119]
In the citing paper
“In particular, VIP+ interneurons express nAChRs and are strongly depolarized by nicotine or ACh119,124,163.”
From Mechanisms underlying gain modulation in the cortex (2020) · cites this paper as [119]
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Citations
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ResultA functional role of cholinergic innervation to neurons in the cat visual cortex
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BackgroundResultInfluentialEffects of cholinergic depletion on neuron activities in the cat visual cortex
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ResultDelayed plasticity of inhibitory neurons in developing visual cortex
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Self-citationFast-spiking interneurons have an initial orientation bias that is lost with vision
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Role of Interneuron Diversity in the Cortical Microcircuit for Attention
Buia, C., & Tiesinga, P. H. E. (2008) · Journal of Neurophysiology · doi:10.1152/jn.01004.2007 · Cited by 64 · cited 3×
“Inhibitory neurons may alter dendritic integration of sensory signals (Huber et al., 2012; Petreanu et al., 2012; Xu et al., 2012), and different inhibitory neurons have been hypothesized to play critical roles in behavioral state-dependent modulation of sensory processing (Buia and Tiesinga, 2008).”
BackgroundActivity of basal forebrain neurons in the rat during motivated behaviors
Mink, J. W., Sinnamon, H. M., & Adams, D. B. (1983) · Behavioural Brain Research · doi:10.1016/0166-4328(83)90173-0 · Cited by 40 · cited 1×
“For example, the neurons in NDB and nearby nuclei have been found to respond not only to locomotion but also to other stimuli such as females (inmalemice) andwater (Mink et al., 1983).”
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GABAergic Interneurons in the Neocortex: From Cellular Properties to Circuits
Tremblay, R., Lee, S., & Rudy, B. (2016) · Neuron · doi:10.1016/j.neuron.2016.06.033 · Cited by 2,033
The neocortical circuit: themes and variations
Harris, K. D., & Shepherd, G. M. G. (2015) · Nature Neuroscience · doi:10.1038/nn.3917 · Cited by 1,215
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Palop, J. J., & Mucke, L. (2016) · Nature reviews. Neuroscience · doi:10.1038/nrn.2016.141 · Cited by 1,022
Hippocampal GABAergic Inhibitory Interneurons
Pelkey, K. A., Chittajallu, R., Craig, M. T., Tricoire, L., Wester, J. C., & McBain, C. J. (2017) · Physiological Reviews · doi:10.1152/physrev.00007.2017 · Cited by 889
Arousal and Locomotion Make Distinct Contributions to Cortical Activity Patterns and Visual Encoding
Vinck, M., Batista-Brito, R., Knoblich, U., & Cardin, J. A. (2015) · Neuron · doi:10.1016/j.neuron.2015.03.028 · Cited by 819
Metadata
- Authors
- Fu, Y., Tucciarone, J. M., Espinosa, J. S., Sheng, N., Darcy, D. P., Nicoll, R. A., Huang, Z. J., & Stryker, M. P.
- Affiliations
- University of California, San Francisco (US)
- Cold Spring Harbor Laboratory (US)
- Corresponding author
- Fu, Yu
- Stryker, Michael P.
- ORCID
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2014-03
- Volume
- 156
- Issue
- 6
- Pages
- 1139-1152
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC4041382
- OpenAlex
- W2097237250
- Cited by
- 937
- References
- 62
- Citations by year
- 2026: 45 · 2025: 69 · 2024: 77 · 2023: 75 · 2022: 75 · 2021: 77 · 2020: 90 · 2019: 106 · 2018: 84 · 2017: 89 · 2016: 73 · 2015: 51 · 2014: 26
- FWCI
- 44.43
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Cold Spring Harbor Laboratory Institutional Repository (Cold Spring Harbor Laboratory) (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Institute of Mental Health (R01MH094705, R37MH038256)
- National Eye Institute (P30EY002162, R01EY002874, EY002874, R37EY002874)
- National Institute of General Medical Sciences (T32GM008444)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- gain control, behavioral state, locomotion, primary visual cortex, vasoactive intestinal peptide neurons, nicotinic acetylcholine receptors, basal forebrain, cortical state
- MeSH terms
- Animals, Female, gamma-Aminobutyric Acid, Male, Neurons, Receptors, Nicotinic, Running, Vasoactive Intestinal Peptide, Visual Pathways, Neocortex, Mice, GABAergic Neurons
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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