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Tobin M, Sheth J, Wood KC, Michel EK, Geffen MN. "Distinct inhibitory neurons differently shape neuronal codes for sound intensity in the auditory cortex". BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.02.01.526470. [PMID: 36778269 PMCID: PMC9915672 DOI: 10.1101/2023.02.01.526470] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Cortical circuits contain multiple types of inhibitory neurons which shape how information is processed within neuronal networks. Here, we asked whether somatostatin-expressing (SST) and vasoactive intestinal peptide-expressing (VIP) inhibitory neurons have distinct effects on population neuronal responses to noise bursts of varying intensities. We optogenetically stimulated SST or VIP neurons while simultaneously measuring the calcium responses of populations of hundreds of neurons in the auditory cortex of male and female awake, head-fixed mice to sounds. Upon SST neuronal activation, noise bursts representations became more discrete for different intensity levels, relying on cell identity rather than strength. By contrast, upon VIP neuronal activation, noise bursts of different intensity level activated overlapping neuronal populations, albeit at different response strengths. At the single-cell level, SST and VIP neuronal activation differentially activated the response-level curves of monotonic and nonmonotonic neurons. SST neuronal activation effects were consistent with a shift of the neuronal population responses toward a more localist code with different cells responding to sounds of different intensity. By contrast, VIP neuronal activation shifted responses towards a more distributed code, in which sounds of different intensity level are encoded in the relative response of similar populations of cells. These results delineate how distinct inhibitory neurons in the auditory cortex dynamically control cortical population codes. Different inhibitory neuronal populations may be recruited under different behavioral demands, depending on whether categorical or invariant representations are advantageous for the task.
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Affiliation(s)
- Melanie Tobin
- Department of Otorhinolaryngology, University of Pennsylvania, Philadelphia, PA 19104, United States
| | - Janaki Sheth
- Department of Otorhinolaryngology, University of Pennsylvania, Philadelphia, PA 19104, United States
| | - Katherine C. Wood
- Department of Otorhinolaryngology, University of Pennsylvania, Philadelphia, PA 19104, United States
| | - Erin K. Michel
- Department of Otorhinolaryngology, University of Pennsylvania, Philadelphia, PA 19104, United States
| | - Maria N. Geffen
- Department of Otorhinolaryngology, University of Pennsylvania, Philadelphia, PA 19104, United States
- Department of Neuroscience, University of Pennsylvania, Philadelphia, PA 19104, United States
- Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, United States
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Benisty H, Barson D, Moberly AH, Lohani S, Tang L, Coifman RR, Crair MC, Mishne G, Cardin JA, Higley MJ. Rapid fluctuations in functional connectivity of cortical networks encode spontaneous behavior. Nat Neurosci 2024; 27:148-158. [PMID: 38036743 DOI: 10.1038/s41593-023-01498-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Accepted: 10/16/2023] [Indexed: 12/02/2023]
Abstract
Experimental work across species has demonstrated that spontaneously generated behaviors are robustly coupled to variations in neural activity within the cerebral cortex. Functional magnetic resonance imaging data suggest that temporal correlations in cortical networks vary across distinct behavioral states, providing for the dynamic reorganization of patterned activity. However, these data generally lack the temporal resolution to establish links between cortical signals and the continuously varying fluctuations in spontaneous behavior observed in awake animals. Here, we used wide-field mesoscopic calcium imaging to monitor cortical dynamics in awake mice and developed an approach to quantify rapidly time-varying functional connectivity. We show that spontaneous behaviors are represented by fast changes in both the magnitude and correlational structure of cortical network activity. Combining mesoscopic imaging with simultaneous cellular-resolution two-photon microscopy demonstrated that correlations among neighboring neurons and between local and large-scale networks also encode behavior. Finally, the dynamic functional connectivity of mesoscale signals revealed subnetworks not predicted by traditional anatomical atlas-based parcellation of the cortex. These results provide new insights into how behavioral information is represented across the neocortex and demonstrate an analytical framework for investigating time-varying functional connectivity in neural networks.
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Affiliation(s)
- Hadas Benisty
- Department of Neuroscience, Kavli Institute for Neuroscience, Yale University School of Medicine, New Haven, CT, USA
| | - Daniel Barson
- Department of Neuroscience, Kavli Institute for Neuroscience, Yale University School of Medicine, New Haven, CT, USA
| | - Andrew H Moberly
- Department of Neuroscience, Kavli Institute for Neuroscience, Yale University School of Medicine, New Haven, CT, USA
| | - Sweyta Lohani
- Department of Neuroscience, Kavli Institute for Neuroscience, Yale University School of Medicine, New Haven, CT, USA
| | - Lan Tang
- Department of Neuroscience, Kavli Institute for Neuroscience, Yale University School of Medicine, New Haven, CT, USA
| | - Ronald R Coifman
- Program in Applied Mathematics, Yale University, New Haven, CT, USA
| | - Michael C Crair
- Department of Neuroscience, Kavli Institute for Neuroscience, Yale University School of Medicine, New Haven, CT, USA
| | - Gal Mishne
- Halıcıoğlu Data Science Institute, University of California, San Diego, La Jolla, CA, USA
| | - Jessica A Cardin
- Department of Neuroscience, Kavli Institute for Neuroscience, Yale University School of Medicine, New Haven, CT, USA
| | - Michael J Higley
- Department of Neuroscience, Kavli Institute for Neuroscience, Yale University School of Medicine, New Haven, CT, USA.
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Asokan MM, Watanabe Y, Kimchi EY, Polley DB. Potentiation of cholinergic and corticofugal inputs to the lateral amygdala in threat learning. Cell Rep 2023; 42:113167. [PMID: 37742187 PMCID: PMC10879743 DOI: 10.1016/j.celrep.2023.113167] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 07/07/2023] [Accepted: 09/07/2023] [Indexed: 09/26/2023] Open
Abstract
The amygdala, cholinergic basal forebrain, and higher-order auditory cortex (HO-AC) regulate brain-wide plasticity underlying auditory threat learning. Here, we perform multi-regional extracellular recordings and optical measurements of acetylcholine (ACh) release to characterize the development of discriminative plasticity within and between these brain regions as mice acquire and recall auditory threat memories. Spiking responses are potentiated for sounds paired with shock (CS+) in the lateral amygdala (LA) and optogenetically identified corticoamygdalar projection neurons, although not in neighboring HO-AC units. Spike- or optogenetically triggered local field potentials reveal enhanced corticofugal-but not corticopetal-functional coupling between HO-AC and LA during threat memory recall that is correlated with pupil-indexed memory strength. We also note robust sound-evoked ACh release that rapidly potentiates for the CS+ in LA but habituates across sessions in HO-AC. These findings highlight a distributed and cooperative plasticity in LA inputs as mice learn to reappraise neutral stimuli as possible threats.
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Affiliation(s)
- Meenakshi M Asokan
- Eaton-Peabody Laboratories, Massachusetts Eye and Ear, Boston, MA 02114, USA; Division of Medical Sciences, Harvard Medical School, Boston, MA 02114, USA.
| | - Yurika Watanabe
- Eaton-Peabody Laboratories, Massachusetts Eye and Ear, Boston, MA 02114, USA
| | - Eyal Y Kimchi
- Eaton-Peabody Laboratories, Massachusetts Eye and Ear, Boston, MA 02114, USA; Department of Neurology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Daniel B Polley
- Eaton-Peabody Laboratories, Massachusetts Eye and Ear, Boston, MA 02114, USA; Division of Medical Sciences, Harvard Medical School, Boston, MA 02114, USA; Department of Otolaryngology - Head and Neck Surgery, Harvard Medical School, Boston, MA 02114, USA
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Monfils MH. The High Road to Inhibiting Fear Memories. Biol Psychiatry 2022; 92:102-103. [PMID: 35772905 DOI: 10.1016/j.biopsych.2022.05.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 05/02/2022] [Indexed: 11/25/2022]
Affiliation(s)
- Marie-H Monfils
- Department of Psychology, The University of Texas at Austin, Austin, Texas.
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