Cited by 628Neural dynamics and brain functionNeuroscience and Neuropharmacology ResearchVisual perception and processing mechanisms

Cellular mechanisms of brain state-dependent gain modulation in visual cortex

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Polack, Pierre-Olivier, Friedman, Jonathan, Golshani, Peyman·2013·Nature Neuroscience

Abstract

Visual cortical neurons fire at higher rates to visual stimuli during locomotion than during immobility, while maintaining orientation selectivity. The mechanisms underlying this change in gain are not understood. We performed whole-cell recordings from layer 2/3 and layer 4 visual cortical excitatory neurons and from parvalbumin-positive and somatostatin-positive inhibitory neurons in mice that were free to rest or run on a spherical treadmill. We found that the membrane potential of all cell types became more depolarized and (with the exception of somatostatin-positive interneurons) less variable during locomotion. Cholinergic input was essential for maintaining the unimodal membrane potential distribution during immobility, whereas noradrenergic input was necessary for the tonic depolarization associated with locomotion. Our results provide a mechanism for how neuromodulation controls the gain and signal-to-noise ratio of visual cortical neurons during changes in the state of vigilance.

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  • Head-restrained preparations have shown that behavioral state fluctuations have a strong impact on neuronal gain and coding properties in primary sensory areas and modulate neuronal firing within brain-wide neuronal networks.

    “By employing head-restrained preparations, a growing body of work has demonstrated that behavioral state fluctuations have a strong impact on neuronal gain and coding properties in primary sensory areas36,43,66–70 and modulate neuronal firing within brain-wide neuronal networks44,71–74.”
  • In some studies, cortical neurons transition to slow oscillatory activity quickly after a bout of locomotion or whisking even though the pupil is usually still large at the end of running periods.

    “In some studies, cortical neurons have been observed to transition to slow oscillatory activity quickly following a bout of locomotion or whisking (e.g. (Crochet and Petersen, 2006; Gentet et al., 2010; Polack et al., 2013)) (Figures 1B), even though the pupil usually is still large at the end of running periods”

    From Waking state: rapid variations modulate neural and behavioral responses (2015) · cites this paper as Polack et al., 2013

  • In V1, locomotion causes both multiplicative and additive enhancements of responses to drifting gratings.

    “In V1, locomotion causes both multiplicative and additive enhancements of responses to drifting gratings”

    From Waking state: rapid variations modulate neural and behavioral responses (2015) · cites this paper as Polack et al., 2013

  • Locomotion is associated with suppression of slow rhythmic activity in cortical networks, depolarization of cortical neurons closer to action potential threshold, and enhanced visually evoked responses.

    “Locomotion, as we have mentioned, is associated with a suppression of slow rhythmic activity in cortical networks, a depolarization of cortical neurons closer to action potential threshold, and enhanced visually evoked responses (Bennett et al., 2013; Polack et al., 2013; Reimer et al., 2014).”

    From Waking state: rapid variations modulate neural and behavioral responses (2015) · cites this paper as Polack et al., 2013

  • Pharmacological block of both cholinergic and noradrenergic receptors locally in the cortex is associated with a strong reduction of the ability of locomotion to modulate cortical state.

    “Pharmacological block of both cholinergic and noradrenergic receptors locally in the cortex is associated with a strong reduction of the ability of locomotion to modulate cortical state (Eggermann et al., 2014; Polack et al., 2013), suggesting that movement may reduce low frequency, and promote higher frequency, rhythms largely through its association with arousal.”

    From Waking state: rapid variations modulate neural and behavioral responses (2015) · cites this paper as Polack et al., 2013

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Authors
Polack, P.-O., Friedman, J., & Golshani, P.
Affiliations
University of California, Los Angeles (US)
Corresponding author
Golshani, Peyman
Venue
Nature Neuroscience
Published
2013-07-21
Volume
16
Issue
9
Pages
1331-1339
ISSN
  • 1097-6256 (ISSN-L)
  • 1546-1726
OpenAlex
W2047964244
Cited by
628
References
53
Citations by year
2026: 28 · 2025: 39 · 2024: 56 · 2023: 60 · 2022: 44 · 2021: 44 · 2020: 54 · 2019: 60 · 2018: 58 · 2017: 44 · 2016: 53 · 2015: 36 · 2014: 43 · 2013: 9
FWCI
25.68
Type
journal article
Language
en
Open access
Locations
  • Nature Neuroscience (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • eScholarship (California Digital Library) (submittedVersion)
Funders
  • U.S. Department of Veterans Affairs (I01 BX001524)
  • National Institute of Mental Health (R01MH101198)
  • National Institute of Neurological Disorders and Stroke (K08NS056210, K08 NS0562101)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
Keywords
gain modulation, visual cortex, cholinergic modulation, noradrenergic modulation, locomotion, immobility, membrane potential, parvalbumin interneurons, somatostatin interneurons, sleep-wake states, signal-to-noise ratio, orientation selectivity, neuromodulation
MeSH terms
Action Potentials, Animals, DNA-Binding Proteins, Female, Immobilization, Locomotion, Male, Mice, Inbred C57BL, Mice, Transgenic, Models, Neurological, Neurons, Orientation, Parvalbumins, Photic Stimulation, Transcription Factors, Visual Cortex, Visual Pathways, Neurotransmitter Agents, Patch-Clamp Techniques, Mice, Signal-To-Noise Ratio

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