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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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Rolón-Martínez S, Mendoza AJ, Angeloni CF, Chen R, Haas JS, Geffen MN. Cell-specific inhibitory modulation of sound processing in the auditory thalamus. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.29.601250. [PMID: 38979223 PMCID: PMC11230419 DOI: 10.1101/2024.06.29.601250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/10/2024]
Abstract
Inhibition along the auditory pathway is crucial for processing of acoustic information. Within the auditory thalamus, a key region in the central auditory pathway, inhibition is provided by the thalamic reticular nucleus (TRN), comprised of two large classes of inhibitory neurons, parvalbumin (PV TRN ) and somatostatin (SST TRN ) positive. In the auditory cortex, PV and SST neurons differentially shape auditory processing. We found that the ventral MGB, the thalamic region in the direct ascending auditory pathway, receives inputs predominantly from PV TRN neurons, whereas SST TRN neurons project to the dorso-medial regions of MGB. Consistently, inactivating PV TRN neurons increased sound-evoked activity in over a third of neurons in the vMGB, with another large fraction of neurons being suppressed. By contrast, inactivating SST TRN neuronal activity largely reduced tone-evoked activity in vMGB neurons. Cell type-specific computational models revealed candidate circuit mechanisms for generating the bi-directional effects of TRN inactivation on MGB sound responses. These differential inhibitory pathways within the auditory thalamus suggest a cell-specific role for thalamic inhibition in auditory computation and behavior.
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Clayton KK, McGill M, Awwad B, Stecyk KS, Kremer C, Skerleva D, Narayanan DP, Zhu J, Hancock KE, Kujawa SG, Kozin ED, Polley DB. Cortical determinants of loudness perception and auditory hypersensitivity. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.30.596691. [PMID: 38853938 PMCID: PMC11160727 DOI: 10.1101/2024.05.30.596691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2024]
Abstract
Parvalbumin-expressing inhibitory neurons (PVNs) stabilize cortical network activity, generate gamma rhythms, and regulate experience-dependent plasticity. Here, we observed that activation or inactivation of PVNs functioned like a volume knob in the mouse auditory cortex (ACtx), turning neural and behavioral classification of sound level up or down over a 20dB range. PVN loudness adjustments were "sticky", such that a single bout of 40Hz PVN stimulation sustainably suppressed ACtx sound responsiveness, potentiated feedforward inhibition, and behaviorally desensitized mice to loudness. Sensory sensitivity is a cardinal feature of autism, aging, and peripheral neuropathy, prompting us to ask whether PVN stimulation can persistently desensitize mice with ACtx hyperactivity, PVN hypofunction, and loudness hypersensitivity triggered by cochlear sensorineural damage. We found that a single 16-minute bout of 40Hz PVN stimulation session restored normal loudness perception for one week, showing that perceptual deficits triggered by irreversible peripheral injuries can be reversed through targeted cortical circuit interventions.
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Affiliation(s)
- Kameron K Clayton
- Eaton-Peabody Laboratories, Massachusetts Eye and Ear, Boston MA 02114
| | - Matthew McGill
- Eaton-Peabody Laboratories, Massachusetts Eye and Ear, Boston MA 02114
| | - Bshara Awwad
- Eaton-Peabody Laboratories, Massachusetts Eye and Ear, Boston MA 02114
| | - Kamryn S Stecyk
- Eaton-Peabody Laboratories, Massachusetts Eye and Ear, Boston MA 02114
| | - Caroline Kremer
- Eaton-Peabody Laboratories, Massachusetts Eye and Ear, Boston MA 02114
| | | | - Divya P Narayanan
- Eaton-Peabody Laboratories, Massachusetts Eye and Ear, Boston MA 02114
| | - Jennifer Zhu
- Eaton-Peabody Laboratories, Massachusetts Eye and Ear, Boston MA 02114
| | - Kenneth E Hancock
- Eaton-Peabody Laboratories, Massachusetts Eye and Ear, Boston MA 02114
| | - Sharon G Kujawa
- Eaton-Peabody Laboratories, Massachusetts Eye and Ear, Boston MA 02114
| | - Elliott D Kozin
- Eaton-Peabody Laboratories, Massachusetts Eye and Ear, Boston MA 02114
| | - Daniel B Polley
- Eaton-Peabody Laboratories, Massachusetts Eye and Ear, Boston MA 02114
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Saeedi A, Wang K, Nikpourian G, Bartels A, Logothetis NK, Totah NK, Watanabe M. Brightness illusions drive a neuronal response in the primary visual cortex under top-down modulation. Nat Commun 2024; 15:3141. [PMID: 38653975 DOI: 10.1038/s41467-024-46885-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Accepted: 03/13/2024] [Indexed: 04/25/2024] Open
Abstract
Brightness illusions are a powerful tool in studying vision, yet their neural correlates are poorly understood. Based on a human paradigm, we presented illusory drifting gratings to mice. Primary visual cortex (V1) neurons responded to illusory gratings, matching their direction selectivity for real gratings, and they tracked the spatial phase offset between illusory and real gratings. Illusion responses were delayed compared to real gratings, in line with the theory that processing illusions requires feedback from higher visual areas (HVAs). We provide support for this theory by showing a reduced V1 response to illusions, but not real gratings, following HVAs optogenetic inhibition. Finally, we used the pupil response (PR) as an indirect perceptual report and showed that the mouse PR matches the human PR to perceived luminance changes. Our findings resolve debates over whether V1 neurons are involved in processing illusions and highlight the involvement of feedback from HVAs.
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Affiliation(s)
- Alireza Saeedi
- Department of Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, 72076, Tübingen, Germany
- Research Group Neurobiology of Magnetoreception, Max Planck Institute for Neurobiology of Behavior - caesar, 53175, Bonn, Germany
| | - Kun Wang
- Department of Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, 72076, Tübingen, Germany
- Department of Physiology of Cognitive Processes, International Center for Primate Brain Research, Songjiang District, Shanghai, 201602, China
| | - Ghazaleh Nikpourian
- Department of Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, 72076, Tübingen, Germany
| | - Andreas Bartels
- Department of Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, 72076, Tübingen, Germany
- Department of Psychology, Vision and Cognition Lab, Centre for Integrative Neuroscience, University of Tübingen, Tübingen, Germany
- Bernstein Center for Computational Neuroscience, Tübingen, Germany
| | - Nikos K Logothetis
- Department of Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, 72076, Tübingen, Germany
- Department of Physiology of Cognitive Processes, International Center for Primate Brain Research, Songjiang District, Shanghai, 201602, China
- Centre for Imaging Sciences, University of Manchester, Manchester, M139PT, UK
| | - Nelson K Totah
- Department of Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, 72076, Tübingen, Germany.
- Helsinki Institute of Life Science (HILIFE), University of Helsinki, 00014, Helsinki, Finland.
- Faculty of Pharmacy, University of Helsinki, 00014, Helsinki, Finland.
- Neuroscience Center, University of Helsinki, 00014, Helsinki, Finland.
| | - Masataka Watanabe
- Department of Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, 72076, Tübingen, Germany.
- Department of Systems Innovation, School of Engineering, The University of Tokyo, Tokyo, Japan.
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Myers-Joseph D, Wilmes KA, Fernandez-Otero M, Clopath C, Khan AG. Disinhibition by VIP interneurons is orthogonal to cross-modal attentional modulation in primary visual cortex. Neuron 2024; 112:628-645.e7. [PMID: 38070500 DOI: 10.1016/j.neuron.2023.11.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Revised: 08/24/2023] [Accepted: 11/08/2023] [Indexed: 02/24/2024]
Abstract
Attentional modulation of sensory processing is a key feature of cognition; however, its neural circuit basis is poorly understood. A candidate mechanism is the disinhibition of pyramidal cells through vasoactive intestinal peptide (VIP) and somatostatin (SOM)-positive interneurons. However, the interaction of attentional modulation and VIP-SOM disinhibition has never been directly tested. We used all-optical methods to bi-directionally manipulate VIP interneuron activity as mice performed a cross-modal attention-switching task. We measured the activities of VIP, SOM, and parvalbumin (PV)-positive interneurons and pyramidal neurons identified in the same tissue and found that although activity in all cell classes was modulated by both attention and VIP manipulation, their effects were orthogonal. Attention and VIP-SOM disinhibition relied on distinct patterns of changes in activity and reorganization of interactions between inhibitory and excitatory cells. Circuit modeling revealed a precise network architecture consistent with multiplexing strong yet non-interacting modulations in the same neural population.
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Affiliation(s)
- Dylan Myers-Joseph
- Centre for Developmental Neurobiology, King's College London, London SE1 1UL, UK
| | | | | | - Claudia Clopath
- Department of Bioengineering, Imperial College, London SW7 2AZ, UK
| | - Adil G Khan
- Centre for Developmental Neurobiology, King's College London, London SE1 1UL, UK.
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Torres-López C, Cuartero MI, García-Culebras A, de la Parra J, Fernández-Valle ME, Benito M, Vázquez-Reyes S, Jareño-Flores T, de Castro-Millán FJ, Hurtado O, Buckwalter MS, García-Segura JM, Lizasoain I, Moro MA. Ipsilesional Hippocampal GABA Is Elevated and Correlates With Cognitive Impairment and Maladaptive Neurogenesis After Cortical Stroke in Mice. Stroke 2023; 54:2652-2665. [PMID: 37694402 DOI: 10.1161/strokeaha.123.043516] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Accepted: 08/09/2023] [Indexed: 09/12/2023]
Abstract
BACKGROUND Cognitive dysfunction is a frequent stroke sequela, but its pathogenesis and treatment remain unresolved. Involvement of aberrant hippocampal neurogenesis and maladaptive circuitry remodeling has been proposed, but their mechanisms are unknown. Our aim was to evaluate potential underlying molecular/cellular events implicated. METHODS Stroke was induced by permanent occlusion of the middle cerebral artery occlusion in 2-month-old C57BL/6 male mice. Hippocampal metabolites/neurotransmitters were analyzed longitudinally by in vivo magnetic resonance spectroscopy. Cognitive function was evaluated with the contextual fear conditioning test. Microglia, astrocytes, neuroblasts, interneurons, γ-aminobutyric acid (GABA), and c-fos were analyzed by immunofluorescence. RESULTS Approximately 50% of mice exhibited progressive post-middle cerebral artery occlusion cognitive impairment. Notably, immature hippocampal neurons in the impaired group displayed more severe aberrant phenotypes than those from the nonimpaired group. Using magnetic resonance spectroscopy, significant bilateral changes in hippocampal metabolites, such as myo-inositol or N-acetylaspartic acid, were found that correlated, respectively, with numbers of glia and immature neuroblasts in the ischemic group. Importantly, some metabolites were specifically altered in the ipsilateral hippocampus suggesting its involvement in aberrant hippocampal neurogenesis and remodeling processes. Specifically, middle cerebral artery occlusion animals with higher hippocampal GABA levels displayed worse cognitive outcome. Implication of GABA in this setting was supported by the amelioration of ischemia-induced memory deficits and aberrant hippocampal neurogenesis after blocking pharmacologically GABAergic neurotransmission, an intervention which was ineffective when neurogenesis was inhibited. These data suggest that GABA exerts its detrimental effect, at least partly, by affecting morphology and integration of newborn neurons into the hippocampal circuits. CONCLUSIONS Hippocampal GABAergic neurotransmission could be considered a novel diagnostic and therapeutic target for poststroke cognitive impairment.
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Affiliation(s)
- Cristina Torres-López
- Neurovascular Pathophysiology, Cardiovascular Risk Factor and Brain Function Programme, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain (C.T.-L., M.I.C., A.G.-C., S.V.-R., T.J.-F., F.J.d.C.-M., O.H., M.A.M.)
- Unidad de Investigación Neurovascular, Departamento de Farmacología, Facultad de Medicina (C.T.-L., M.I.C., A.G.-C., J.d.l.P., S.V.-R., T.J.-F., F.J.d.C.-M., I.L., M.A.M.), Universidad Complutense de Madrid (UCM), Spain
- Instituto Universitario de Investigación en Neuroquímica (C.T.-L., M.I.C., A.G.-C., J.M.G.-S., I.L.), Universidad Complutense de Madrid (UCM), Spain
- Instituto de Investigación Hospital 12 de Octubre (i+12), Madrid, Spain (C.T.-L., M.I.C., A.G.-C., I.L., M.A.M.)
| | - Maria I Cuartero
- Neurovascular Pathophysiology, Cardiovascular Risk Factor and Brain Function Programme, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain (C.T.-L., M.I.C., A.G.-C., S.V.-R., T.J.-F., F.J.d.C.-M., O.H., M.A.M.)
- Instituto Universitario de Investigación en Neuroquímica (C.T.-L., M.I.C., A.G.-C., J.M.G.-S., I.L.), Universidad Complutense de Madrid (UCM), Spain
- Instituto de Investigación Hospital 12 de Octubre (i+12), Madrid, Spain (C.T.-L., M.I.C., A.G.-C., I.L., M.A.M.)
| | - Alicia García-Culebras
- Neurovascular Pathophysiology, Cardiovascular Risk Factor and Brain Function Programme, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain (C.T.-L., M.I.C., A.G.-C., S.V.-R., T.J.-F., F.J.d.C.-M., O.H., M.A.M.)
- Unidad de Investigación Neurovascular, Departamento de Farmacología, Facultad de Medicina (C.T.-L., M.I.C., A.G.-C., J.d.l.P., S.V.-R., T.J.-F., F.J.d.C.-M., I.L., M.A.M.), Universidad Complutense de Madrid (UCM), Spain
- Instituto Universitario de Investigación en Neuroquímica (C.T.-L., M.I.C., A.G.-C., J.M.G.-S., I.L.), Universidad Complutense de Madrid (UCM), Spain
- Departamento de Biología Celular, Facultad de Medicina (A.G.-C.), Universidad Complutense de Madrid (UCM), Spain
- Instituto de Investigación Hospital 12 de Octubre (i+12), Madrid, Spain (C.T.-L., M.I.C., A.G.-C., I.L., M.A.M.)
| | - Juan de la Parra
- Unidad de Investigación Neurovascular, Departamento de Farmacología, Facultad de Medicina (C.T.-L., M.I.C., A.G.-C., J.d.l.P., S.V.-R., T.J.-F., F.J.d.C.-M., I.L., M.A.M.), Universidad Complutense de Madrid (UCM), Spain
| | - María E Fernández-Valle
- Infraestructura Científica y Técnica Singular (ICTS) Centro de Bioimagen Complutense (M.E.F.-V., J.M.G.-S.), Universidad Complutense de Madrid (UCM), Spain
| | - Marina Benito
- Hospital Nacional de Parapléjicos de Toledo, Spain (M.B.)
| | - Sandra Vázquez-Reyes
- Neurovascular Pathophysiology, Cardiovascular Risk Factor and Brain Function Programme, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain (C.T.-L., M.I.C., A.G.-C., S.V.-R., T.J.-F., F.J.d.C.-M., O.H., M.A.M.)
- Unidad de Investigación Neurovascular, Departamento de Farmacología, Facultad de Medicina (C.T.-L., M.I.C., A.G.-C., J.d.l.P., S.V.-R., T.J.-F., F.J.d.C.-M., I.L., M.A.M.), Universidad Complutense de Madrid (UCM), Spain
| | - Tania Jareño-Flores
- Neurovascular Pathophysiology, Cardiovascular Risk Factor and Brain Function Programme, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain (C.T.-L., M.I.C., A.G.-C., S.V.-R., T.J.-F., F.J.d.C.-M., O.H., M.A.M.)
- Unidad de Investigación Neurovascular, Departamento de Farmacología, Facultad de Medicina (C.T.-L., M.I.C., A.G.-C., J.d.l.P., S.V.-R., T.J.-F., F.J.d.C.-M., I.L., M.A.M.), Universidad Complutense de Madrid (UCM), Spain
| | - Francisco J de Castro-Millán
- Neurovascular Pathophysiology, Cardiovascular Risk Factor and Brain Function Programme, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain (C.T.-L., M.I.C., A.G.-C., S.V.-R., T.J.-F., F.J.d.C.-M., O.H., M.A.M.)
- Unidad de Investigación Neurovascular, Departamento de Farmacología, Facultad de Medicina (C.T.-L., M.I.C., A.G.-C., J.d.l.P., S.V.-R., T.J.-F., F.J.d.C.-M., I.L., M.A.M.), Universidad Complutense de Madrid (UCM), Spain
| | - Olivia Hurtado
- Neurovascular Pathophysiology, Cardiovascular Risk Factor and Brain Function Programme, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain (C.T.-L., M.I.C., A.G.-C., S.V.-R., T.J.-F., F.J.d.C.-M., O.H., M.A.M.)
| | - Marion S Buckwalter
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, CA (M.S.B.)
| | - Juan M García-Segura
- Instituto Universitario de Investigación en Neuroquímica (C.T.-L., M.I.C., A.G.-C., J.M.G.-S., I.L.), Universidad Complutense de Madrid (UCM), Spain
- Infraestructura Científica y Técnica Singular (ICTS) Centro de Bioimagen Complutense (M.E.F.-V., J.M.G.-S.), Universidad Complutense de Madrid (UCM), Spain
- Departamento de Bioquímica y Biología Molecular (J.M.G.-S.), Universidad Complutense de Madrid (UCM), Spain
| | - Ignacio Lizasoain
- Unidad de Investigación Neurovascular, Departamento de Farmacología, Facultad de Medicina (C.T.-L., M.I.C., A.G.-C., J.d.l.P., S.V.-R., T.J.-F., F.J.d.C.-M., I.L., M.A.M.), Universidad Complutense de Madrid (UCM), Spain
- Instituto Universitario de Investigación en Neuroquímica (C.T.-L., M.I.C., A.G.-C., J.M.G.-S., I.L.), Universidad Complutense de Madrid (UCM), Spain
- Instituto de Investigación Hospital 12 de Octubre (i+12), Madrid, Spain (C.T.-L., M.I.C., A.G.-C., I.L., M.A.M.)
| | - María A Moro
- Neurovascular Pathophysiology, Cardiovascular Risk Factor and Brain Function Programme, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain (C.T.-L., M.I.C., A.G.-C., S.V.-R., T.J.-F., F.J.d.C.-M., O.H., M.A.M.)
- Unidad de Investigación Neurovascular, Departamento de Farmacología, Facultad de Medicina (C.T.-L., M.I.C., A.G.-C., J.d.l.P., S.V.-R., T.J.-F., F.J.d.C.-M., I.L., M.A.M.), Universidad Complutense de Madrid (UCM), Spain
- Instituto de Investigación Hospital 12 de Octubre (i+12), Madrid, Spain (C.T.-L., M.I.C., A.G.-C., I.L., M.A.M.)
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Angeloni CF, Młynarski W, Piasini E, Williams AM, Wood KC, Garami L, Hermundstad AM, Geffen MN. Dynamics of cortical contrast adaptation predict perception of signals in noise. Nat Commun 2023; 14:4817. [PMID: 37558677 PMCID: PMC10412650 DOI: 10.1038/s41467-023-40477-6] [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: 09/01/2022] [Accepted: 07/27/2023] [Indexed: 08/11/2023] Open
Abstract
Neurons throughout the sensory pathway adapt their responses depending on the statistical structure of the sensory environment. Contrast gain control is a form of adaptation in the auditory cortex, but it is unclear whether the dynamics of gain control reflect efficient adaptation, and whether they shape behavioral perception. Here, we trained mice to detect a target presented in background noise shortly after a change in the contrast of the background. The observed changes in cortical gain and behavioral detection followed the dynamics of a normative model of efficient contrast gain control; specifically, target detection and sensitivity improved slowly in low contrast, but degraded rapidly in high contrast. Auditory cortex was required for this task, and cortical responses were not only similarly affected by contrast but predicted variability in behavioral performance. Combined, our results demonstrate that dynamic gain adaptation supports efficient coding in auditory cortex and predicts the perception of sounds in noise.
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Affiliation(s)
- Christopher F Angeloni
- Psychology Graduate Group, University of Pennsylvania, Philadelphia, PA, USA
- Department of Otorhinolaryngology, University of Pennsylvania, Philadelphia, PA, USA
| | - Wiktor Młynarski
- Faculty of Biology, Ludwig Maximilian University of Munich, Munich, Germany
- Bernstein Center for Computational Neuroscience, Munich, Germany
| | - Eugenio Piasini
- International School for Advanced Studies (SISSA), Trieste, Italy
| | - Aaron M Williams
- Department of Otorhinolaryngology, University of Pennsylvania, Philadelphia, PA, USA
- Neuroscience Graduate Group, University of Pennsylvania, Philadelphia, PA, USA
| | - Katherine C Wood
- Department of Otorhinolaryngology, University of Pennsylvania, Philadelphia, PA, USA
| | - Linda Garami
- Department of Otorhinolaryngology, University of Pennsylvania, Philadelphia, PA, USA
| | - Ann M Hermundstad
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Maria N Geffen
- Department of Otorhinolaryngology, University of Pennsylvania, Philadelphia, PA, USA.
- Neuroscience Graduate Group, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Neuroscience, Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA.
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8
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Nocon JC, Gritton HJ, James NM, Mount RA, Qu Z, Han X, Sen K. Parvalbumin neurons enhance temporal coding and reduce cortical noise in complex auditory scenes. Commun Biol 2023; 6:751. [PMID: 37468561 PMCID: PMC10356822 DOI: 10.1038/s42003-023-05126-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Accepted: 07/10/2023] [Indexed: 07/21/2023] Open
Abstract
Cortical representations supporting many cognitive abilities emerge from underlying circuits comprised of several different cell types. However, cell type-specific contributions to rate and timing-based cortical coding are not well-understood. Here, we investigated the role of parvalbumin neurons in cortical complex scene analysis. Many complex scenes contain sensory stimuli which are highly dynamic in time and compete with stimuli at other spatial locations. Parvalbumin neurons play a fundamental role in balancing excitation and inhibition in cortex and sculpting cortical temporal dynamics; yet their specific role in encoding complex scenes via timing-based coding, and the robustness of temporal representations to spatial competition, has not been investigated. Here, we address these questions in auditory cortex of mice using a cocktail party-like paradigm, integrating electrophysiology, optogenetic manipulations, and a family of spike-distance metrics, to dissect parvalbumin neurons' contributions towards rate and timing-based coding. We find that suppressing parvalbumin neurons degrades cortical discrimination of dynamic sounds in a cocktail party-like setting via changes in rapid temporal modulations in rate and spike timing, and over a wide range of time-scales. Our findings suggest that parvalbumin neurons play a critical role in enhancing cortical temporal coding and reducing cortical noise, thereby improving representations of dynamic stimuli in complex scenes.
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Affiliation(s)
- Jian Carlo Nocon
- Neurophotonics Center, Boston University, Boston, 02215, MA, USA
- Center for Systems Neuroscience, Boston University, Boston, 02215, MA, USA
- Hearing Research Center, Boston University, Boston, 02215, MA, USA
- Department of Biomedical Engineering, Boston University, Boston, 02215, MA, USA
| | - Howard J Gritton
- Department of Comparative Biosciences, University of Illinois, Urbana, 61820, IL, USA
- Department of Bioengineering, University of Illinois, Urbana, 61820, IL, USA
| | - Nicholas M James
- Neurophotonics Center, Boston University, Boston, 02215, MA, USA
- Center for Systems Neuroscience, Boston University, Boston, 02215, MA, USA
- Hearing Research Center, Boston University, Boston, 02215, MA, USA
- Department of Biomedical Engineering, Boston University, Boston, 02215, MA, USA
| | - Rebecca A Mount
- Neurophotonics Center, Boston University, Boston, 02215, MA, USA
- Center for Systems Neuroscience, Boston University, Boston, 02215, MA, USA
- Hearing Research Center, Boston University, Boston, 02215, MA, USA
- Department of Biomedical Engineering, Boston University, Boston, 02215, MA, USA
| | - Zhili Qu
- Department of Comparative Biosciences, University of Illinois, Urbana, 61820, IL, USA
- Department of Bioengineering, University of Illinois, Urbana, 61820, IL, USA
| | - Xue Han
- Neurophotonics Center, Boston University, Boston, 02215, MA, USA
- Center for Systems Neuroscience, Boston University, Boston, 02215, MA, USA
- Hearing Research Center, Boston University, Boston, 02215, MA, USA
- Department of Biomedical Engineering, Boston University, Boston, 02215, MA, USA
| | - Kamal Sen
- Neurophotonics Center, Boston University, Boston, 02215, MA, USA.
- Center for Systems Neuroscience, Boston University, Boston, 02215, MA, USA.
- Hearing Research Center, Boston University, Boston, 02215, MA, USA.
- Department of Biomedical Engineering, Boston University, Boston, 02215, MA, USA.
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Zou J, Jin B, Ao Y, Han Y, Huang B, Jia Y, Yang L, Jia Y, Chen Q, Fu Z. Spectrally non-overlapping background noise disturbs echolocation via acoustic masking in the CF-FM bat, Hipposideros pratti. CONSERVATION PHYSIOLOGY 2023; 11:coad017. [PMID: 37101704 PMCID: PMC10123856 DOI: 10.1093/conphys/coad017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/09/2022] [Revised: 01/12/2023] [Accepted: 03/24/2023] [Indexed: 06/19/2023]
Abstract
The environment noise may disturb animal behavior and echolocation via three potential mechanisms: acoustic masking, reduced attention and noise avoidance. Compared with the mechanisms of reduced attention and noise avoidance, acoustic masking is thought to occur only when the signal and background noise overlap spectrally and temporally. In this study, we investigated the effects of spectrally non-overlapping noise on echolocation pulses and electrophysiological responses of a constant frequency-frequency modulation (CF-FM) bat, Hipposideros pratti. We found that H. pratti called at higher intensities while keeping the CFs of their echolocation pulses consistent. Electrophysiological tests indicated that the noise could decrease auditory sensitivity and sharp intensity tuning, suggesting that spectrally non-overlapping noise imparts an acoustic masking effect. Because anthropogenic noises are usually concentrated at low frequencies and are spectrally non-overlapping with the bat's echolocation pulses, our results provide further evidence of negative consequences of anthropogenic noise. On this basis, we sound a warning against noise in the foraging habitats of echolocating bats.
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Affiliation(s)
- Jianwen Zou
- Hubei Key Laboratory of Genetic Regulation & Integrative Biology, School of Life Sciences, Central China Normal University, No.152 Luoyu Road, Wuhan City, Hubei Province, 430079, China
| | - Baoling Jin
- Hubei Key Laboratory of Genetic Regulation & Integrative Biology, School of Life Sciences, Central China Normal University, No.152 Luoyu Road, Wuhan City, Hubei Province, 430079, China
| | - Yuqin Ao
- Hubei Key Laboratory of Genetic Regulation & Integrative Biology, School of Life Sciences, Central China Normal University, No.152 Luoyu Road, Wuhan City, Hubei Province, 430079, China
| | - Yuqing Han
- Hubei Key Laboratory of Genetic Regulation & Integrative Biology, School of Life Sciences, Central China Normal University, No.152 Luoyu Road, Wuhan City, Hubei Province, 430079, China
| | - Baohua Huang
- Hubei Key Laboratory of Genetic Regulation & Integrative Biology, School of Life Sciences, Central China Normal University, No.152 Luoyu Road, Wuhan City, Hubei Province, 430079, China
| | - Yuyang Jia
- Hubei Key Laboratory of Genetic Regulation & Integrative Biology, School of Life Sciences, Central China Normal University, No.152 Luoyu Road, Wuhan City, Hubei Province, 430079, China
| | - Lijian Yang
- College of Physical Science and Technology, Central China Normal University, No.152 Luoyu Road, Wuhan City, Hubei Province, 430079, China
| | - Ya Jia
- College of Physical Science and Technology, Central China Normal University, No.152 Luoyu Road, Wuhan City, Hubei Province, 430079, China
| | - Qicai Chen
- Hubei Key Laboratory of Genetic Regulation & Integrative Biology, School of Life Sciences, Central China Normal University, No.152 Luoyu Road, Wuhan City, Hubei Province, 430079, China
| | - Ziying Fu
- Corresponding author: Hubei Key Laboratory of Genetic Regulation & Integrative Biology, School of Life Sciences, Central China Normal University, No.152 Luoyu Road, Wuhan City, Hubei Province, 430079, China.
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10
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Cheng Y, Chen R, Su B, Zhang G, Sun Y, An P, Fang Y, Zhang Y, Shan Y, de Villers-Sidani É, Wang Y, Zhou X. Pairing with Enriched Sound Exposure Restores Auditory Processing Degraded by an Antidepressant. J Neurosci 2023; 43:2850-2859. [PMID: 36948582 PMCID: PMC10124948 DOI: 10.1523/jneurosci.2027-22.2023] [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: 10/29/2022] [Revised: 03/02/2023] [Accepted: 03/09/2023] [Indexed: 03/24/2023] Open
Abstract
Antidepressants, while effective in treating depression and anxiety disorders, also induce deficits in sensory (particularly auditory) processing, which in turn may exacerbate psychiatric symptoms. How antidepressants cause auditory signature deficits remains largely unknown. Here, we found that fluoxetine-treated adult female rats were significantly less accurate when performing a tone-frequency discrimination task compared with age-matched control rats. Their cortical neurons also responded less selectively to sound frequencies. The degraded behavioral and cortical processing was accompanied by decreased cortical perineuronal nets, particularly those wrapped around parvalbumin-expressing inhibitory interneurons. Furthermore, fluoxetine induced critical period-like plasticity in their already mature auditory cortices; therefore, a brief rearing of these drug-treated rats under an enriched acoustic environment renormalized auditory processing degraded by fluoxetine. The altered cortical expression of perineuronal nets was also reversed as a result of enriched sound exposure. These findings suggest that the adverse effects of antidepressants on auditory processing, possibly because of a reduction in intracortical inhibition, can be substantially alleviated by simply pairing drug treatment with passive, enriched sound exposure. They have important implications for understanding the neurobiological basis of antidepressant effects on hearing and for designing novel pharmacological treatment strategies for psychiatric disorders.SIGNIFICANCE STATEMENT Clinical experience suggests that antidepressants adversely affect sensory (particularly auditory) processing, which can exacerbate patients' psychiatric symptoms. Here, we show that the antidepressant fluoxetine reduces cortical inhibition in adult rats, leading to degraded behavioral and cortical spectral processing of sound. Importantly, fluoxetine induces a critical period-like state of plasticity in the mature cortex; therefore, a brief rearing under an enriched acoustic environment is sufficient to reverse the changes in auditory processing caused by the administration of fluoxetine. These results provide a putative neurobiological basis for the effects of antidepressants on hearing and indicate that antidepressant treatment combined with enriched sensory experiences could optimize clinical outcomes.
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Affiliation(s)
- Yuan Cheng
- Key Laboratory of Brain Functional Genomics of Ministry of Education, Shanghai Key Laboratory of Brain Functional Genomics, School of Life Sciences, East China Normal University, Shanghai, 200062, China
- New York University-East China Normal University Institute of Brain and Cognitive Science, New York University-Shanghai, Shanghai, 200062, China
| | - Ruru Chen
- Key Laboratory of Brain Functional Genomics of Ministry of Education, Shanghai Key Laboratory of Brain Functional Genomics, School of Life Sciences, East China Normal University, Shanghai, 200062, China
- New York University-East China Normal University Institute of Brain and Cognitive Science, New York University-Shanghai, Shanghai, 200062, China
| | - Bowen Su
- Key Laboratory of Brain Functional Genomics of Ministry of Education, Shanghai Key Laboratory of Brain Functional Genomics, School of Life Sciences, East China Normal University, Shanghai, 200062, China
- New York University-East China Normal University Institute of Brain and Cognitive Science, New York University-Shanghai, Shanghai, 200062, China
| | - Guimin Zhang
- Key Laboratory of Brain Functional Genomics of Ministry of Education, Shanghai Key Laboratory of Brain Functional Genomics, School of Life Sciences, East China Normal University, Shanghai, 200062, China
- New York University-East China Normal University Institute of Brain and Cognitive Science, New York University-Shanghai, Shanghai, 200062, China
| | - Yutian Sun
- Key Laboratory of Brain Functional Genomics of Ministry of Education, Shanghai Key Laboratory of Brain Functional Genomics, School of Life Sciences, East China Normal University, Shanghai, 200062, China
- New York University-East China Normal University Institute of Brain and Cognitive Science, New York University-Shanghai, Shanghai, 200062, China
| | - Pengying An
- Key Laboratory of Brain Functional Genomics of Ministry of Education, Shanghai Key Laboratory of Brain Functional Genomics, School of Life Sciences, East China Normal University, Shanghai, 200062, China
- New York University-East China Normal University Institute of Brain and Cognitive Science, New York University-Shanghai, Shanghai, 200062, China
| | - Yue Fang
- Key Laboratory of Brain Functional Genomics of Ministry of Education, Shanghai Key Laboratory of Brain Functional Genomics, School of Life Sciences, East China Normal University, Shanghai, 200062, China
- New York University-East China Normal University Institute of Brain and Cognitive Science, New York University-Shanghai, Shanghai, 200062, China
| | - Yifan Zhang
- Key Laboratory of Brain Functional Genomics of Ministry of Education, Shanghai Key Laboratory of Brain Functional Genomics, School of Life Sciences, East China Normal University, Shanghai, 200062, China
- New York University-East China Normal University Institute of Brain and Cognitive Science, New York University-Shanghai, Shanghai, 200062, China
| | - Ye Shan
- Key Laboratory of Brain Functional Genomics of Ministry of Education, Shanghai Key Laboratory of Brain Functional Genomics, School of Life Sciences, East China Normal University, Shanghai, 200062, China
| | - Étienne de Villers-Sidani
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Quebec Canada
| | - Yunfeng Wang
- ENT institute and Department of Otorhinolaryngology of Eye & ENT Hospital, NHC Key Laboratory of Hearing Medicine, Fudan University, Shanghai, 200031, China
| | - Xiaoming Zhou
- Key Laboratory of Brain Functional Genomics of Ministry of Education, Shanghai Key Laboratory of Brain Functional Genomics, School of Life Sciences, East China Normal University, Shanghai, 200062, China
- New York University-East China Normal University Institute of Brain and Cognitive Science, New York University-Shanghai, Shanghai, 200062, China
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11
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Haimson B, Mizrahi A. Plasticity in auditory cortex during parenthood. Hear Res 2023; 431:108738. [PMID: 36931020 DOI: 10.1016/j.heares.2023.108738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 02/09/2023] [Accepted: 03/06/2023] [Indexed: 03/11/2023]
Abstract
Most animals display robust parental behaviors that support the survival and well-being of their offspring. The manifestation of parental behaviors is accompanied by physiological and hormonal changes, which affect both the body and the brain for better care giving. Rodents exhibit a behavior called pup retrieval - a stereotyped sequence of perception and action - used to identify and retrieve their newborn pups back to the nest. Pup retrieval consists of a significant auditory component, which depends on plasticity in the auditory cortex (ACx). We review the evidence of neural changes taking place in the ACx of rodents during the transition to parenthood. We discuss how the plastic changes both in and out of the ACx support the encoding of pup vocalizations. Key players in the mechanism of this plasticity are hormones and experience, both of which have a clear dynamic signature during the transition to parenthood. Mothers, co caring females, and fathers have been used as models to understand parental plasticity at disparate levels of organization. Yet, common principles of cortical plasticity and the biological mechanisms underlying its involvement in parental behavior are just beginning to be unpacked.
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Affiliation(s)
- Baruch Haimson
- The Edmond and Lily Safra Center for Brain Sciences, and 2Department of Neurobiology, The Hebrew University of Jerusalem, Jerusalem 91904, Israel.
| | - Adi Mizrahi
- The Edmond and Lily Safra Center for Brain Sciences, and 2Department of Neurobiology, The Hebrew University of Jerusalem, Jerusalem 91904, Israel.
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12
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Sadagopan S, Kar M, Parida S. Quantitative models of auditory cortical processing. Hear Res 2023; 429:108697. [PMID: 36696724 PMCID: PMC9928778 DOI: 10.1016/j.heares.2023.108697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 12/17/2022] [Accepted: 01/12/2023] [Indexed: 01/15/2023]
Abstract
To generate insight from experimental data, it is critical to understand the inter-relationships between individual data points and place them in context within a structured framework. Quantitative modeling can provide the scaffolding for such an endeavor. Our main objective in this review is to provide a primer on the range of quantitative tools available to experimental auditory neuroscientists. Quantitative modeling is advantageous because it can provide a compact summary of observed data, make underlying assumptions explicit, and generate predictions for future experiments. Quantitative models may be developed to characterize or fit observed data, to test theories of how a task may be solved by neural circuits, to determine how observed biophysical details might contribute to measured activity patterns, or to predict how an experimental manipulation would affect neural activity. In complexity, quantitative models can range from those that are highly biophysically realistic and that include detailed simulations at the level of individual synapses, to those that use abstract and simplified neuron models to simulate entire networks. Here, we survey the landscape of recently developed models of auditory cortical processing, highlighting a small selection of models to demonstrate how they help generate insight into the mechanisms of auditory processing. We discuss examples ranging from models that use details of synaptic properties to explain the temporal pattern of cortical responses to those that use modern deep neural networks to gain insight into human fMRI data. We conclude by discussing a biologically realistic and interpretable model that our laboratory has developed to explore aspects of vocalization categorization in the auditory pathway.
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Affiliation(s)
- Srivatsun Sadagopan
- Department of Neurobiology, University of Pittsburgh, Pittsburgh, PA, USA; Center for Neuroscience, University of Pittsburgh, Pittsburgh, PA, USA; Center for the Neural Basis of Cognition, University of Pittsburgh, Pittsburgh, PA, USA; Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA; Department of Communication Science and Disorders, University of Pittsburgh, Pittsburgh, PA, USA.
| | - Manaswini Kar
- Department of Neurobiology, University of Pittsburgh, Pittsburgh, PA, USA; Center for Neuroscience, University of Pittsburgh, Pittsburgh, PA, USA; Center for the Neural Basis of Cognition, University of Pittsburgh, Pittsburgh, PA, USA
| | - Satyabrata Parida
- Department of Neurobiology, University of Pittsburgh, Pittsburgh, PA, USA; Center for Neuroscience, University of Pittsburgh, Pittsburgh, PA, USA
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13
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Tasaka GI, Maggi C, Taha E, Mizrahi A. The local and long-range input landscape of inhibitory neurons in mouse auditory cortex. J Comp Neurol 2023; 531:502-514. [PMID: 36453284 PMCID: PMC10107844 DOI: 10.1002/cne.25437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2022] [Revised: 09/27/2022] [Accepted: 11/04/2022] [Indexed: 12/05/2022]
Abstract
Roughly 20% of the neurons in the mouse cortex are inhibitory interneurons (INs). Of these, the three major subtypes are parvalbumin (PV), somatostatin (SST), and vasoactive intestinal polypeptide (VIP) expressing neurons. We used monosynaptic rabies tracing to compare the presynaptic input landscape onto these three IN subtypes in the mouse primary auditory cortex (A1). We compared both local patterns of monosynaptic inputs as well as long-range input patterns. The local monosynaptic input landscape to SST neurons was more widespread as compared to PV and VIP neurons. The brain-wide input landscape was rich and heterogeneous with >40 brain regions connecting to all the three INs subtypes from both hemispheres. The general pattern of the long-range input landscape was similar among the groups of INs. Nevertheless, a few differences could be identified. At low resolution, the proportion of local versus long-range inputs was smaller for PV neurons. At mesoscale resolution, we found fewer inputs from temporal association area to VIP INs, and more inputs to SST neurons from basal forebrain and lateral amygdala. Our work can be used as a resource for a quantitative comparison of the location and level of inputs impinging onto discrete populations of neurons in mouse A1.
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Affiliation(s)
- Gen-Ichi Tasaka
- The Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Claudia Maggi
- The Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Elham Taha
- The Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Adi Mizrahi
- The Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel.,The Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
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14
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Onodera K, Kato HK. Translaminar recurrence from layer 5 suppresses superficial cortical layers. Nat Commun 2022; 13:2585. [PMID: 35546553 PMCID: PMC9095870 DOI: 10.1038/s41467-022-30349-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Accepted: 04/26/2022] [Indexed: 12/23/2022] Open
Abstract
Information flow in the sensory cortex has been described as a predominantly feedforward sequence with deep layers as the output structure. Although recurrent excitatory projections from layer 5 (L5) to superficial L2/3 have been identified by anatomical and physiological studies, their functional impact on sensory processing remains unclear. Here, we use layer-selective optogenetic manipulations in the primary auditory cortex to demonstrate that feedback inputs from L5 suppress the activity of superficial layers regardless of the arousal level, contrary to the prediction from their excitatory connectivity. This suppressive effect is predominantly mediated by translaminar circuitry through intratelencephalic neurons, with an additional contribution of subcortical projections by pyramidal tract neurons. Furthermore, L5 activation sharpened tone-evoked responses of superficial layers in both frequency and time domains, indicating its impact on cortical spectro-temporal integration. Together, our findings establish a translaminar inhibitory recurrence from deep layers that sharpens feature selectivity in superficial cortical layers.
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Affiliation(s)
- Koun Onodera
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- JSPS Overseas Research Fellow, Japan Society for the Promotion of Science, Tokyo, Japan
| | - Hiroyuki K Kato
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
- Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
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15
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Mehra M, Mukesh A, Bandyopadhyay S. Separate Functional Subnetworks of Excitatory Neurons Show Preference to Periodic and Random Sound Structures. J Neurosci 2022; 42:3165-3183. [PMID: 35241488 PMCID: PMC8994540 DOI: 10.1523/jneurosci.0333-21.2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Revised: 11/18/2021] [Accepted: 01/03/2022] [Indexed: 11/21/2022] Open
Abstract
Auditory cortex (ACX) neurons are sensitive to spectro-temporal sound patterns and violations in patterns induced by rare stimuli embedded within streams of sounds. We investigate the auditory cortical representation of repeated presentations of sequences of sounds with standard stimuli (common) with an embedded deviant (rare) stimulus in two conditions, Periodic (Fixed deviant position) or Random (Random deviant position). We used extracellular single-unit and two-photon Ca2+ imaging recordings in layer 2/3 neurons of the mouse (Mus musculus) ACX of either sex. Population single-unit average responses increased over repetitions in the Random condition and were suppressed or did not change in the Periodic condition, showing general irregularity preference. A subset of neurons showed the opposite behavior, indicating regularity preference. Furthermore, pairwise noise correlations were higher in the Random condition than in the Periodic condition, suggesting a role of recurrent connections in the observed differential adaptation. Functional two-photon Ca2+ imaging showed that excitatory (EX), and inhibitory (IN) neurons [parvalbumin-positive (PV) and somatostatin-positive (SOM)] also had different categories of long-term adaptation as observed with single-units. However, examination of functional connectivity between pairs of neurons of different categories showed that EX-PV connected pairs behaved opposite to the EX-EX and EX-SOM pairs, with more connections outside category in Random condition than Periodic condition. Finally, considering Regularity, Irregularity, and no preference of connected pairs of neurons showed that EX-EX and EX-SOM pairs were in largely separate functional subnetworks with different preferences, not EX-PV pairs. Thus, separate subnetworks underlie coding of periodic and random sound sequences.SIGNIFICANCE STATEMENT Studying how the auditory cortex (ACX) neurons respond to streams of sound sequences help us understand the importance of changes in dynamic acoustic noisy scenes around us. Humans and animals are sensitive to regularity and its violations in sound sequences. Psychophysical tasks in humans show that the auditory brain differentially responds to Periodic and Random structures, independent of the listener's attentional states. Here, we show that mouse ACX L2/3 neurons detect changes and respond differently to patterns over long-time scales. The differential functional connectivity profile obtained in response to two different sound contexts suggests the vital role of recurrent connections in the auditory cortical network. Furthermore, the excitatory-inhibitory neuronal interactions can contribute to detecting the changing sound patterns.
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Affiliation(s)
- Muneshwar Mehra
- Information Processing Laboratory, Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology Kharagpur, 721302, India
- Advanced Technology Development Centre, Indian Institute of Technology Kharagpur, 721302, India
| | - Adarsh Mukesh
- Information Processing Laboratory, Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology Kharagpur, 721302, India
- Advanced Technology Development Centre, Indian Institute of Technology Kharagpur, 721302, India
| | - Sharba Bandyopadhyay
- Information Processing Laboratory, Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology Kharagpur, 721302, India
- Advanced Technology Development Centre, Indian Institute of Technology Kharagpur, 721302, India
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16
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Lee C, Harkin EF, Yin X, Naud R, Chen S. Cell-type specific responses to associative learning in the primary motor cortex. eLife 2022; 11:72549. [PMID: 35113017 PMCID: PMC8856656 DOI: 10.7554/elife.72549] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Accepted: 02/02/2022] [Indexed: 11/13/2022] Open
Abstract
The primary motor cortex (M1) is known to be a critical site for movement initiation and motor learning. Surprisingly, it has also been shown to possess reward-related activity, presumably to facilitate reward-based learning of new movements. However, whether reward-related signals are represented among different cell types in M1, and whether their response properties change after cue–reward conditioning remains unclear. Here, we performed longitudinal in vivo two-photon Ca2+ imaging to monitor the activity of different neuronal cell types in M1 while mice engaged in a classical conditioning task. Our results demonstrate that most of the major neuronal cell types in M1 showed robust but differential responses to both the conditioned cue stimulus (CS) and reward, and their response properties undergo cell-type-specific modifications after associative learning. PV-INs’ responses became more reliable to the CS, while VIP-INs’ responses became more reliable to reward. Pyramidal neurons only showed robust responses to novel reward, and they habituated to it after associative learning. Lastly, SOM-INs’ responses emerged and became more reliable to both the CS and reward after conditioning. These observations suggest that cue- and reward-related signals are preferentially represented among different neuronal cell types in M1, and the distinct modifications they undergo during associative learning could be essential in triggering different aspects of local circuit reorganization in M1 during reward-based motor skill learning.
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Affiliation(s)
- Candice Lee
- Department of Cellular and Molecular Medicine, University of Ottawa, Ottawa, Canada
| | - Emerson F Harkin
- Department of Cellular and Molecular Medicine, University of Ottawa, Ottawa, Canada
| | - Xuming Yin
- Department of Cellular and Molecular Medicine, University of Ottawa, Ottawa, Canada
| | - Richard Naud
- Department of Cellular and Molecular Medicine, University of Ottawa, Ottawa, Canada
| | - Simon Chen
- Department of Cellular and Molecular Medicine, University of Ottawa, Ottawa, Canada
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17
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Inhibition in the auditory cortex. Neurosci Biobehav Rev 2021; 132:61-75. [PMID: 34822879 DOI: 10.1016/j.neubiorev.2021.11.021] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 10/20/2021] [Accepted: 11/15/2021] [Indexed: 02/05/2023]
Abstract
The auditory system provides us with extremely rich and precise information about the outside world. Once a sound reaches our ears, the acoustic information it carries travels from the cochlea all the way to the auditory cortex, where its complexity and nuances are integrated. In the auditory cortex, functional circuits are formed by subpopulations of intermingled excitatory and inhibitory cells. In this review, we discuss recent evidence of the specific contributions of inhibitory neurons in sound processing and integration. We first examine intrinsic properties of three main classes of inhibitory interneurons in the auditory cortex. Then, we describe how inhibition shapes the responsiveness of the auditory cortex to sound. Finally, we discuss how inhibitory interneurons contribute to the sensation and perception of sounds. Altogether, this review points out the crucial role of cortical inhibitory interneurons in integrating information about the context, history, or meaning of a sound. It also highlights open questions to be addressed for increasing our understanding of the staggering complexity leading to the subtlest auditory perception.
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18
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Reliable Sensory Processing in Mouse Visual Cortex through Cooperative Interactions between Somatostatin and Parvalbumin Interneurons. J Neurosci 2021; 41:8761-8778. [PMID: 34493543 DOI: 10.1523/jneurosci.3176-20.2021] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 08/16/2021] [Accepted: 08/23/2021] [Indexed: 11/21/2022] Open
Abstract
Intrinsic neuronal variability significantly limits information encoding in the primary visual cortex (V1). However, under certain conditions, neurons can respond reliably with highly precise responses to the same visual stimuli from trial to trial. This suggests that there exists intrinsic neural circuit mechanisms that dynamically modulate the intertrial variability of visual cortical neurons. Here, we sought to elucidate the role of different inhibitory interneurons (INs) in reliable coding in mouse V1. To study the interactions between somatostatin-expressing interneurons (SST-INs) and parvalbumin-expressing interneurons (PV-INs), we used a dual-color calcium imaging technique that allowed us to simultaneously monitor these two neural ensembles while awake mice, of both sexes, passively viewed natural movies. SST neurons were more active during epochs of reliable pyramidal neuron firing, whereas PV neurons were more active during epochs of unreliable firing. SST neuron activity lagged that of PV neurons, consistent with a feedback inhibitory SST→PV circuit. To dissect the role of this circuit in pyramidal neuron activity, we used temporally limited optogenetic activation and inactivation of SST and PV interneurons during periods of reliable and unreliable pyramidal cell firing. Transient firing of SST neurons increased pyramidal neuron reliability by actively suppressing PV neurons, a proposal that was supported by a rate-based model of V1 neurons. These results identify a cooperative functional role for the SST→PV circuit in modulating the reliability of pyramidal neuron activity.SIGNIFICANCE STATEMENT Cortical neurons often respond to identical sensory stimuli with large variability. However, under certain conditions, the same neurons can also respond highly reliably. The circuit mechanisms that contribute to this modulation remain unknown. Here, we used novel dual-wavelength calcium imaging and temporally selective optical perturbation to identify an inhibitory neural circuit in visual cortex that can modulate the reliability of pyramidal neurons to naturalistic visual stimuli. Our results, supported by computational models, suggest that somatostatin interneurons increase pyramidal neuron reliability by suppressing parvalbumin interneurons via the inhibitory SST→PV circuit. These findings reveal a novel role of the SST→PV circuit in modulating the fidelity of neural coding critical for visual perception.
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The Impact of SST and PV Interneurons on Nonlinear Synaptic Integration in the Neocortex. eNeuro 2021; 8:ENEURO.0235-21.2021. [PMID: 34400470 PMCID: PMC8425965 DOI: 10.1523/eneuro.0235-21.2021] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Revised: 07/26/2021] [Accepted: 08/09/2021] [Indexed: 01/19/2023] Open
Abstract
Excitatory synaptic inputs arriving at the dendrites of a neuron can engage active mechanisms that nonlinearly amplify the depolarizing currents. This supralinear synaptic integration is subject to modulation by inhibition. However, the specific rules by which different subtypes of interneurons affect the modulation have remained largely elusive. To examine how inhibition influences active synaptic integration, we optogenetically manipulated the activity of the following two subtypes of interneurons: dendrite-targeting somatostatin-expressing (SST) interneurons; and perisomatic-targeting parvalbumin-expressing (PV) interneurons. In acute slices of mouse primary visual cortex, electrical stimulation evoked nonlinear synaptic integration that depended on NMDA receptors. Optogenetic activation of SST interneurons in conjunction with electrical stimulation resulted in predominantly divisive inhibitory gain control, reducing the magnitude of the supralinear response without affecting its threshold. PV interneuron activation, on the other hand, had a minimal effect on the supralinear response. Together, these results delineate the roles for SST and PV neurons in active synaptic integration. Differential effects of inhibition by SST and PV interneurons likely increase the computational capacity of the pyramidal neurons in modulating the nonlinear integration of synaptic output.
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20
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Gothner T, Gonçalves PJ, Sahani M, Linden JF, Hildebrandt KJ. Sustained Activation of PV+ Interneurons in Core Auditory Cortex Enables Robust Divisive Gain Control for Complex and Naturalistic Stimuli. Cereb Cortex 2021; 31:2364-2381. [PMID: 33300581 DOI: 10.1093/cercor/bhaa347] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Revised: 09/01/2020] [Accepted: 10/13/2020] [Indexed: 01/21/2023] Open
Abstract
Sensory cortices must flexibly adapt their operations to internal states and external requirements. Sustained modulation of activity levels in different inhibitory interneuron populations may provide network-level mechanisms for adjustment of sensory cortical processing on behaviorally relevant timescales. However, understanding of the computational roles of inhibitory interneuron modulation has mostly been restricted to effects at short timescales, through the use of phasic optogenetic activation and transient stimuli. Here, we investigated how modulation of inhibitory interneurons affects cortical computation on longer timescales, by using sustained, network-wide optogenetic activation of parvalbumin-positive interneurons (the largest class of cortical inhibitory interneurons) to study modulation of auditory cortical responses to prolonged and naturalistic as well as transient stimuli. We found highly conserved spectral and temporal tuning in auditory cortical neurons, despite a profound reduction in overall network activity. This reduction was predominantly divisive, and consistent across simple, complex, and naturalistic stimuli. A recurrent network model with power-law input-output functions replicated our results. We conclude that modulation of parvalbumin-positive interneurons on timescales typical of sustained neuromodulation may provide a means for robust divisive gain control conserving stimulus representations.
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Affiliation(s)
- Tina Gothner
- Department of Neuroscience, University of Oldenburg, 26126 Oldenburg, Germany
| | - Pedro J Gonçalves
- Max Planck Research Group Neural Systems Analysis, Center of Advanced European Studies and Research (CAESAR), 53175 Bonn, Germany.,Gatsby Computational Neuroscience Unit, University College London, London W1T 4JG, UK
| | - Maneesh Sahani
- Gatsby Computational Neuroscience Unit, University College London, London W1T 4JG, UK
| | - Jennifer F Linden
- Ear Institute, University College London, London, WC1X 8EE, UK.,Department of Neuroscience, Physiology, and Pharmacology, University College London, London WC1E 6BT, UK
| | - K Jannis Hildebrandt
- Department of Neuroscience, University of Oldenburg, 26126 Oldenburg, Germany.,Cluster of Excellence Hearing4all, University of Oldenburg, 26126 Oldenburg, Germany
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21
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Paez Segala MG, Looger LL. Optogenetics. Mol Imaging 2021. [DOI: 10.1016/b978-0-12-816386-3.00092-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
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22
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Task Engagement Improves Neural Discriminability in the Auditory Midbrain of the Marmoset Monkey. J Neurosci 2020; 41:284-297. [PMID: 33208469 DOI: 10.1523/jneurosci.1112-20.2020] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Revised: 10/24/2020] [Accepted: 10/27/2020] [Indexed: 11/21/2022] Open
Abstract
While task-dependent changes have been demonstrated in auditory cortex for a number of behavioral paradigms and mammalian species, less is known about how behavioral state can influence neural coding in the midbrain areas that provide auditory information to cortex. We measured single-unit activity in the inferior colliculus (IC) of common marmosets of both sexes while they performed a tone-in-noise detection task and during passive presentation of identical task stimuli. In contrast to our previous study in the ferret IC, task engagement had little effect on sound-evoked activity in central (lemniscal) IC of the marmoset. However, activity was significantly modulated in noncentral fields, where responses were selectively enhanced for the target tone relative to the distractor noise. This led to an increase in neural discriminability between target and distractors. The results confirm that task engagement can modulate sound coding in the auditory midbrain, and support a hypothesis that subcortical pathways can mediate highly trained auditory behaviors.SIGNIFICANCE STATEMENT While the cerebral cortex is widely viewed as playing an essential role in the learning and performance of complex auditory behaviors, relatively little attention has been paid to the role of brainstem and midbrain areas that process sound information before it reaches cortex. This study demonstrates that the auditory midbrain is also modulated during behavior. These modulations amplify task-relevant sensory information, a process that is traditionally attributed to cortex.
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23
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Li H, Liang F, Zhong W, Yan L, Mesik L, Xiao Z, Tao HW, Zhang LI. Synaptic Mechanisms for Bandwidth Tuning in Awake Mouse Primary Auditory Cortex. Cereb Cortex 2020; 29:2998-3009. [PMID: 30010857 DOI: 10.1093/cercor/bhy165] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2018] [Revised: 06/08/2018] [Indexed: 11/12/2022] Open
Abstract
Spatial size tuning in the visual cortex has been considered as an important neuronal functional property for sensory perception. However, an analogous mechanism in the auditory system has remained controversial. In the present study, cell-attached recordings in the primary auditory cortex (A1) of awake mice revealed that excitatory neurons can be categorized into three types according to their bandwidth tuning profiles in response to band-passed noise (BPN) stimuli: nonmonotonic (NM), flat, and monotonic, with the latter two considered as non-tuned for bandwidth. The prevalence of bandwidth-tuned (i.e., NM) neurons increases significantly from layer 4 to layer 2/3. With sequential cell-attached and whole-cell voltage-clamp recordings from the same neurons, we found that the bandwidth preference of excitatory neurons is largely determined by the excitatory synaptic input they receive, and that the bandwidth selectivity is further enhanced by flatly tuned inhibition observed in all cells. The latter can be attributed at least partially to the flat tuning of parvalbumin inhibitory neurons. The tuning of auditory cortical neurons for bandwidth of BPN may contribute to the processing of complex sounds.
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Affiliation(s)
- Haifu Li
- Department of Physiology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.,Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Feixue Liang
- Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.,Department of Medical Engineering, School of Biomedical Engineering, Southern Medical University, Guangzhou, China
| | - Wen Zhong
- Department of Physiology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.,Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Linqing Yan
- Department of Physiology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.,Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Lucas Mesik
- Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.,Neuroscience Graduate Program, University of Southern California, Los Angeles, CA, USA
| | - Zhongju Xiao
- Department of Physiology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
| | - Huizhong W Tao
- Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.,Department of Physiology and Neuroscience, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Li I Zhang
- Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.,Department of Physiology and Neuroscience, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
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24
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Christensen RK, Lindén H, Nakamura M, Barkat TR. White Noise Background Improves Tone Discrimination by Suppressing Cortical Tuning Curves. Cell Rep 2020; 29:2041-2053.e4. [PMID: 31722216 DOI: 10.1016/j.celrep.2019.10.049] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2018] [Revised: 07/25/2019] [Accepted: 10/09/2019] [Indexed: 12/23/2022] Open
Abstract
The brain faces the difficult task of maintaining a stable representation of key features of the outside world in noisy sensory surroundings. How does the sensory representation change with noise, and how does the brain make sense of it? We investigated the effect of background white noise (WN) on tuning properties of neurons in mouse A1 and its impact on discrimination performance in a go/no-go task. We find that WN suppresses the activity of A1 neurons, which surprisingly increases the discriminability of tones spectrally close to each other. To confirm the involvement of A1, we optogenetically excited parvalbumin-positive (PV+) neurons in A1, which have similar effects as WN on both tuning properties and frequency discrimination. A population model suggests that the suppression of A1 tuning curves increases frequency selectivity and thereby improves discrimination. Our findings demonstrate that the cortical representation of pure tones adapts during noise to improve sensory acuity.
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Affiliation(s)
- Rasmus Kordt Christensen
- Department of Biomedicine, Basel University, 4056 Basel, Switzerland; Department of Neuroscience, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Henrik Lindén
- Department of Neuroscience, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Mari Nakamura
- Department of Biomedicine, Basel University, 4056 Basel, Switzerland
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25
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Interhemispheric Callosal Projections Sharpen Frequency Tuning and Enforce Response Fidelity in Primary Auditory Cortex. eNeuro 2020; 7:ENEURO.0256-20.2020. [PMID: 32769158 PMCID: PMC7438056 DOI: 10.1523/eneuro.0256-20.2020] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Revised: 07/23/2020] [Accepted: 07/29/2020] [Indexed: 01/29/2023] Open
Abstract
Sensory cortical areas receive glutamatergic callosal projections that link information processing between brain hemispheres. In primary auditory cortex (A1), ipsilateral principal cells from a particular tonotopic region project to neurons in matching frequency space of the contralateral cortex. However, the role of interhemispheric projections in shaping cortical responses to sound and frequency tuning in awake animals is unclear. Here, we use translaminar single-unit recordings and optogenetic approaches to probe how callosal inputs modulate spontaneous and tone-evoked activity in A1 of awake mice. Brief activation of callosal inputs drove either short-latency increases or decreases in firing of individual neurons. Across all cortical layers, the majority of responsive regular spiking (RS) cells received short-latency inhibition, whereas fast spiking (FS) cells were almost exclusively excited. Consistent with the callosal-evoked increases in FS cell activity in vivo, brain slice recordings confirmed that parvalbumin (PV)-expressing cells received stronger callosal input than pyramidal cells or other interneuron subtypes. Acute in vivo silencing of the contralateral cortex generally increased spontaneous firing across cortical layers and linearly transformed responses to pure tones via both divisive and additive operations. The net effect was a decrease in signal-to-noise ratio for evoked responses and a broadening of frequency tuning curves. Together, these results suggest that callosal input regulates both the salience and tuning sharpness of tone responses in A1 via PV cell-mediated feedforward inhibition.
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26
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Capogna M, Castillo PE, Maffei A. The ins and outs of inhibitory synaptic plasticity: Neuron types, molecular mechanisms and functional roles. Eur J Neurosci 2020; 54:6882-6901. [PMID: 32663353 DOI: 10.1111/ejn.14907] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Revised: 06/30/2020] [Accepted: 07/08/2020] [Indexed: 01/05/2023]
Abstract
GABAergic interneurons are highly diverse, and their synaptic outputs express various forms of plasticity. Compelling evidence indicates that activity-dependent changes of inhibitory synaptic transmission play a significant role in regulating neural circuits critically involved in learning and memory and circuit refinement. Here, we provide an updated overview of inhibitory synaptic plasticity with a focus on the hippocampus and neocortex. To illustrate the diversity of inhibitory interneurons, we discuss the case of two highly divergent interneuron types, parvalbumin-expressing basket cells and neurogliaform cells, which support unique roles on circuit dynamics. We also present recent progress on the molecular mechanisms underlying long-term, activity-dependent plasticity of fast inhibitory transmission. Lastly, we discuss the role of inhibitory synaptic plasticity in neuronal circuits' function. The emerging picture is that inhibitory synaptic transmission in the CNS is extremely diverse, undergoes various mechanistically distinct forms of plasticity and contributes to a much more refined computational role than initially thought. Both the remarkable diversity of inhibitory interneurons and the various forms of plasticity expressed by GABAergic synapses provide an amazingly rich inhibitory repertoire that is central to a variety of complex neural circuit functions, including memory.
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Affiliation(s)
- Marco Capogna
- Department of Biomedicine, Danish National Research Foundation Center of Excellence PROMEMO, Aarhus University, Aarhus, Denmark
| | - Pablo E Castillo
- Dominck P Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, NY, USA.,Department of Psychiatry and Behavioral Sciences, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Arianna Maffei
- Center for Neural Circuit Dynamics and Department of Neurobiology and Behavior, Stony Brook University, Stony Brook, NY, USA
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27
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Azimi Z, Barzan R, Spoida K, Surdin T, Wollenweber P, Mark MD, Herlitze S, Jancke D. Separable gain control of ongoing and evoked activity in the visual cortex by serotonergic input. eLife 2020; 9:e53552. [PMID: 32252889 PMCID: PMC7138610 DOI: 10.7554/elife.53552] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Accepted: 03/04/2020] [Indexed: 01/25/2023] Open
Abstract
Controlling gain of cortical activity is essential to modulate weights between internal ongoing communication and external sensory drive. Here, we show that serotonergic input has separable suppressive effects on the gain of ongoing and evoked visual activity. We combined optogenetic stimulation of the dorsal raphe nucleus (DRN) with wide-field calcium imaging, extracellular recordings, and iontophoresis of serotonin (5-HT) receptor antagonists in the mouse visual cortex. 5-HT1A receptors promote divisive suppression of spontaneous activity, while 5-HT2A receptors act divisively on visual response gain and largely account for normalization of population responses over a range of visual contrasts in awake and anesthetized states. Thus, 5-HT input provides balanced but distinct suppressive effects on ongoing and evoked activity components across neuronal populations. Imbalanced 5-HT1A/2A activation, either through receptor-specific drug intake, genetically predisposed irregular 5-HT receptor density, or change in sensory bombardment may enhance internal broadcasts and reduce sensory drive and vice versa.
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Affiliation(s)
- Zohre Azimi
- Optical Imaging Group, Institut für Neuroinformatik, Ruhr University BochumBochumGermany
- International Graduate School of Neuroscience (IGSN), Ruhr University BochumBochumGermany
| | - Ruxandra Barzan
- Optical Imaging Group, Institut für Neuroinformatik, Ruhr University BochumBochumGermany
- International Graduate School of Neuroscience (IGSN), Ruhr University BochumBochumGermany
| | - Katharina Spoida
- Department of General Zoology and Neurobiology, Ruhr University BochumBochumGermany
| | - Tatjana Surdin
- Department of General Zoology and Neurobiology, Ruhr University BochumBochumGermany
| | - Patric Wollenweber
- Department of General Zoology and Neurobiology, Ruhr University BochumBochumGermany
| | - Melanie D Mark
- Department of General Zoology and Neurobiology, Ruhr University BochumBochumGermany
| | - Stefan Herlitze
- Department of General Zoology and Neurobiology, Ruhr University BochumBochumGermany
| | - Dirk Jancke
- Optical Imaging Group, Institut für Neuroinformatik, Ruhr University BochumBochumGermany
- International Graduate School of Neuroscience (IGSN), Ruhr University BochumBochumGermany
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28
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Cooke JE, Kahn MC, Mann EO, King AJ, Schnupp JWH, Willmore BDB. Contrast gain control occurs independently of both parvalbumin-positive interneuron activity and shunting inhibition in auditory cortex. J Neurophysiol 2020; 123:1536-1551. [PMID: 32186432 PMCID: PMC7191518 DOI: 10.1152/jn.00587.2019] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2019] [Revised: 03/16/2020] [Accepted: 03/18/2020] [Indexed: 12/31/2022] Open
Abstract
Contrast gain control is the systematic adjustment of neuronal gain in response to the contrast of sensory input. It is widely observed in sensory cortical areas and has been proposed to be a canonical neuronal computation. Here, we investigated whether shunting inhibition from parvalbumin-positive interneurons-a mechanism involved in gain control in visual cortex-also underlies contrast gain control in auditory cortex. First, we performed extracellular recordings in the auditory cortex of anesthetized male mice and optogenetically manipulated the activity of parvalbumin-positive interneurons while varying the contrast of the sensory input. We found that both activation and suppression of parvalbumin interneuron activity altered the overall gain of cortical neurons. However, despite these changes in overall gain, we found that manipulating parvalbumin interneuron activity did not alter the strength of contrast gain control in auditory cortex. Furthermore, parvalbumin-positive interneurons did not show increases in activity in response to high-contrast stimulation, which would be expected if they drive contrast gain control. Finally, we performed in vivo whole-cell recordings in auditory cortical neurons during high- and low-contrast stimulation and found that no increase in membrane conductance was observed during high-contrast stimulation. Taken together, these findings indicate that while parvalbumin-positive interneuron activity modulates the overall gain of auditory cortical responses, other mechanisms are primarily responsible for contrast gain control in this cortical area.NEW & NOTEWORTHY We investigated whether contrast gain control is mediated by shunting inhibition from parvalbumin-positive interneurons in auditory cortex. We performed extracellular and intracellular recordings in mouse auditory cortex while presenting sensory stimuli with varying contrasts and manipulated parvalbumin-positive interneuron activity using optogenetics. We show that while parvalbumin-positive interneuron activity modulates the gain of cortical responses, this activity is not the primary mechanism for contrast gain control in auditory cortex.
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Affiliation(s)
- James E Cooke
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, United Kingdom
- University College London, London, United Kingdom
| | - Martin C Kahn
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, United Kingdom
| | - Edward O Mann
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, United Kingdom
| | - Andrew J King
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, United Kingdom
| | - Jan W H Schnupp
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, United Kingdom
- Department of Biomedical Sciences, City University of Hong Kong, Hong Kong
| | - Ben D B Willmore
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, United Kingdom
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29
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Jang HJ, Chung H, Rowland JM, Richards BA, Kohl MM, Kwag J. Distinct roles of parvalbumin and somatostatin interneurons in gating the synchronization of spike times in the neocortex. SCIENCE ADVANCES 2020; 6:eaay5333. [PMID: 32426459 PMCID: PMC7176419 DOI: 10.1126/sciadv.aay5333] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2019] [Accepted: 01/17/2020] [Indexed: 06/01/2023]
Abstract
Synchronization of precise spike times across multiple neurons carries information about sensory stimuli. Inhibitory interneurons are suggested to promote this synchronization, but it is unclear whether distinct interneuron subtypes provide different contributions. To test this, we examined single-unit recordings from barrel cortex in vivo and used optogenetics to determine the contribution of parvalbumin (PV)- and somatostatin (SST)-positive interneurons to the synchronization of spike times across cortical layers. We found that PV interneurons preferentially promote the synchronization of spike times when instantaneous firing rates are low (<12 Hz), whereas SST interneurons preferentially promote the synchronization of spike times when instantaneous firing rates are high (>12 Hz). Furthermore, using a computational model, we demonstrate that these effects can be explained by PV and SST interneurons having preferential contributions to feedforward and feedback inhibition, respectively. Our findings demonstrate that distinct subtypes of inhibitory interneurons have frequency-selective roles in the spatiotemporal synchronization of precise spike times.
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Affiliation(s)
- Hyun Jae Jang
- Department of Brain and Cognitive Engineering, Korea University, Seoul, Korea
| | - Hyowon Chung
- Department of Brain and Cognitive Engineering, Korea University, Seoul, Korea
| | - James M. Rowland
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK
| | - Blake A. Richards
- Department of Biological Sciences, University of Toronto Scarborough, Toronto, Canada
- Mila, Montreal, QC, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
- School of Computer Science, McGill University, Montreal, QC, Canada
| | - Michael M. Kohl
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK
- Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, UK
| | - Jeehyun Kwag
- Department of Brain and Cognitive Engineering, Korea University, Seoul, Korea
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30
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Ross JM, Hamm JP. Cortical Microcircuit Mechanisms of Mismatch Negativity and Its Underlying Subcomponents. Front Neural Circuits 2020; 14:13. [PMID: 32296311 PMCID: PMC7137737 DOI: 10.3389/fncir.2020.00013] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Accepted: 03/17/2020] [Indexed: 12/11/2022] Open
Abstract
In the neocortex, neuronal processing of sensory events is significantly influenced by context. For instance, responses in sensory cortices are suppressed to repetitive or redundant stimuli, a phenomenon termed “stimulus-specific adaptation” (SSA). However, in a context in which that same stimulus is novel, or deviates from expectations, neuronal responses are augmented. This augmentation is termed “deviance detection” (DD). This contextual modulation of neural responses is fundamental for how the brain efficiently processes the sensory world to guide immediate and future behaviors. Notably, context modulation is deficient in some neuropsychiatric disorders such as schizophrenia (SZ), as quantified by reduced “mismatch negativity” (MMN), an electroencephalography waveform reflecting a combination of SSA and DD in sensory cortex. Although the role of NMDA-receptor function and other neuromodulatory systems on MMN is established, the precise microcircuit mechanisms of MMN and its underlying components, SSA and DD, remain unknown. When coupled with animal models, the development of powerful precision neurotechnologies over the past decade carries significant promise for making new progress into understanding the neurobiology of MMN with previously unreachable spatial resolution. Currently, rodent models represent the best tool for mechanistic study due to the vast genetic tools available. While quantifying human-like MMN waveforms in rodents is not straightforward, the “oddball” paradigms used to study it in humans and its underlying subcomponents (SSA/DD) are highly translatable across species. Here we summarize efforts published so far, with a focus on cortically measured SSA and DD in animals to maintain relevance to the classically measured MMN, which has cortical origins. While mechanistic studies that measure and contrast both components are sparse, we synthesize a potential set of microcircuit mechanisms from the existing rodent, primate, and human literature. While MMN and its subcomponents likely reflect several mechanisms across multiple brain regions, understanding fundamental microcircuit mechanisms is an important step to understand MMN as a whole. We hypothesize that SSA reflects adaptations occurring at synapses along the sensory-thalamocortical pathways, while DD depends on both SSA inherited from afferent inputs and resulting disinhibition of non-adapted neurons arising from the distinct physiology and wiring properties of local interneuronal subpopulations and NMDA-receptor function.
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Affiliation(s)
- Jordan M Ross
- Neuroscience Institute, Georgia State University, Atlanta, GA, United States.,Center for Behavioral Neuroscience, Georgia State University, Atlanta, GA, United States
| | - Jordan P Hamm
- Neuroscience Institute, Georgia State University, Atlanta, GA, United States.,Center for Behavioral Neuroscience, Georgia State University, Atlanta, GA, United States.,Center for Neuroinflammation and Cardiometabolic Diseases, Georgia State University, Atlanta, GA, United States
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31
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Papasavvas CA, Trevelyan AJ, Kaiser M, Wang Y. Divisive gain modulation enables flexible and rapid entrainment in a neocortical microcircuit model. J Neurophysiol 2020; 123:1133-1143. [PMID: 32023140 PMCID: PMC7099485 DOI: 10.1152/jn.00401.2019] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Neocortical circuits exhibit a rich dynamic repertoire, and their ability to achieve entrainment (adjustment of their frequency to match the input frequency) is thought to support many cognitive functions and indicate functional flexibility. Although previous studies have explored the influence of various circuit properties on this phenomenon, the role of divisive gain modulation (or divisive inhibition) is unknown. This gain control mechanism is thought to be delivered mainly by the soma-targeting interneurons in neocortical microcircuits. In this study, we use a neural mass model of the neocortical microcircuit (extended Wilson-Cowan model) featuring both soma-targeting and dendrite-targeting interneuronal subpopulations to investigate the role of divisive gain modulation in entrainment. Our results demonstrate that the presence of divisive inhibition in the microcircuit, as delivered by the soma-targeting interneurons, enables its entrainment to a wider range of input frequencies. Divisive inhibition also promotes a faster entrainment, with the microcircuit needing less time to converge to the fully entrained state. We suggest that divisive inhibition, working alongside subtractive inhibition, allows for more adaptive oscillatory responses in neocortical circuits and, thus, supports healthy brain functioning.NEW & NOTEWORTHY We introduce a computational neocortical microcircuit model that features two inhibitory neural populations, with one providing subtractive and the other divisive inhibition to the excitatory population. We demonstrate that divisive inhibition widens the range of input frequencies to which the microcircuit can become entrained and diminishes the time needed to reach full entrainment. We suggest that divisive inhibition enables more adaptive oscillatory activity, with important implications for both normal and pathological brain function.
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Affiliation(s)
- Christoforos A Papasavvas
- CNNP Lab, Interdisciplinary Computing and Complex BioSystems Group, School of Computing, Newcastle University, Newcastle upon Tyne, United Kingdom.,Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Andrew J Trevelyan
- Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Marcus Kaiser
- CNNP Lab, Interdisciplinary Computing and Complex BioSystems Group, School of Computing, Newcastle University, Newcastle upon Tyne, United Kingdom.,Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom.,Department of Functional Neurosurgery, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yujiang Wang
- CNNP Lab, Interdisciplinary Computing and Complex BioSystems Group, School of Computing, Newcastle University, Newcastle upon Tyne, United Kingdom.,Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom.,UCL Queen Square Institute of Neurology, Queen Square, London, United Kingdom
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32
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Kouvaros S, Kumar M, Tzounopoulos T. Synaptic Zinc Enhances Inhibition Mediated by Somatostatin, but not Parvalbumin, Cells in Mouse Auditory Cortex. Cereb Cortex 2020; 30:3895-3909. [PMID: 32090251 DOI: 10.1093/cercor/bhaa005] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2019] [Revised: 12/23/2019] [Accepted: 01/06/2020] [Indexed: 11/13/2022] Open
Abstract
Cortical inhibition is essential for brain activity and behavior. Yet, the mechanisms that modulate cortical inhibition and their impact on sensory processing remain less understood. Synaptically released zinc, a neuromodulator released by cortical glutamatergic synaptic vesicles, has emerged as a powerful modulator of sensory processing and behavior. Despite the puzzling finding that the vesicular zinc transporter (ZnT3) mRNA is expressed in cortical inhibitory interneurons, the actions of synaptic zinc in cortical inhibitory neurotransmission remain unknown. Using in vitro electrophysiology and optogenetics in mouse brain slices containing the layer 2/3 (L2/3) of auditory cortex, we discovered that synaptic zinc increases the quantal size of inhibitory GABAergic neurotransmission mediated by somatostatin (SOM)- but not parvalbumin (PV)-expressing neurons. Using two-photon imaging in awake mice, we showed that synaptic zinc is required for the effects of SOM- but not PV-mediated inhibition on frequency tuning of principal neurons. Thus, cell-specific zinc modulation of cortical inhibition regulates frequency tuning.
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Affiliation(s)
- Stylianos Kouvaros
- Department of Otolaryngology, Pittsburgh Hearing Research Center, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Manoj Kumar
- Department of Otolaryngology, Pittsburgh Hearing Research Center, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Thanos Tzounopoulos
- Department of Otolaryngology, Pittsburgh Hearing Research Center, University of Pittsburgh, Pittsburgh, PA 15261, USA
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33
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Blackwell JM, Lesicko AMH, Rao W, De Biasi M, Geffen MN. Auditory cortex shapes sound responses in the inferior colliculus. eLife 2020; 9:e51890. [PMID: 32003747 PMCID: PMC7062464 DOI: 10.7554/elife.51890] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2019] [Accepted: 01/31/2020] [Indexed: 12/30/2022] Open
Abstract
The extensive feedback from the auditory cortex (AC) to the inferior colliculus (IC) supports critical aspects of auditory behavior but has not been extensively characterized. Previous studies demonstrated that activity in IC is altered by focal electrical stimulation and pharmacological inactivation of AC, but these methods lack the ability to selectively manipulate projection neurons. We measured the effects of selective optogenetic modulation of cortico-collicular feedback projections on IC sound responses in mice. Activation of feedback increased spontaneous activity and decreased stimulus selectivity in IC, whereas suppression had no effect. To further understand how microcircuits in AC may control collicular activity, we optogenetically modulated the activity of different cortical neuronal subtypes, specifically parvalbumin-positive (PV) and somatostatin-positive (SST) inhibitory interneurons. We found that modulating the activity of either type of interneuron did not affect IC sound-evoked activity. Combined, our results identify that activation of excitatory projections, but not inhibition-driven changes in cortical activity, affects collicular sound responses.
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Affiliation(s)
- Jennifer M Blackwell
- Department of OtorhinolaryngologyUniversity of PennsylvaniaPhiladelphiaUnited States
- Department of Neurobiology and BehaviorStony Brook UniversityStony BrookUnited States
| | - Alexandria MH Lesicko
- Department of OtorhinolaryngologyUniversity of PennsylvaniaPhiladelphiaUnited States
| | - Winnie Rao
- Department of OtorhinolaryngologyUniversity of PennsylvaniaPhiladelphiaUnited States
| | - Mariella De Biasi
- Department of PsychiatryUniversity of PennsylvaniaPhiladelphiaUnited States
- Department of Systems Pharmacology and Experimental TherapeuticsUniversity of PennsylvaniaPhiladelphiaUnited States
- Department of NeuroscienceUniversity of PennsylvaniaPhiladelphiaUnited States
| | - Maria N Geffen
- Department of OtorhinolaryngologyUniversity of PennsylvaniaPhiladelphiaUnited States
- Department of NeuroscienceUniversity of PennsylvaniaPhiladelphiaUnited States
- Department of NeurologyUniversity of PennsylvaniaPhiladelphiaUnited States
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34
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Maor I, Shwartz-Ziv R, Feigin L, Elyada Y, Sompolinsky H, Mizrahi A. Neural Correlates of Learning Pure Tones or Natural Sounds in the Auditory Cortex. Front Neural Circuits 2020; 13:82. [PMID: 32047424 PMCID: PMC6997498 DOI: 10.3389/fncir.2019.00082] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Accepted: 12/17/2019] [Indexed: 11/17/2022] Open
Abstract
Associative learning of pure tones is known to cause tonotopic map expansion in the auditory cortex (ACx), but the function this plasticity sub-serves is unclear. We developed an automated training platform called the “Educage,” which was used to train mice on a go/no-go auditory discrimination task to their perceptual limits, for difficult discriminations among pure tones or natural sounds. Spiking responses of excitatory and inhibitory parvalbumin (PV+) L2/3 neurons in mouse ACx revealed learning-induced overrepresentation of the learned frequencies, as expected from previous literature. The coordinated plasticity of excitatory and inhibitory neurons supports a role for PV+ neurons in homeostatic maintenance of excitation–inhibition balance within the circuit. Using a novel computational model to study auditory tuning curves, we show that overrepresentation of the learned tones does not necessarily improve discrimination performance of the network to these tones. In a separate set of experiments, we trained mice to discriminate among natural sounds. Perceptual learning of natural sounds induced “sparsening” and decorrelation of the neural response, consequently improving discrimination of these complex sounds. This signature of plasticity in A1 highlights its role in coding natural sounds.
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Affiliation(s)
- Ido Maor
- Department of Neurobiology, Alexander Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel.,The Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Ravid Shwartz-Ziv
- The Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Libi Feigin
- The Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Yishai Elyada
- The Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Haim Sompolinsky
- The Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel.,The Racah Institute of Physics, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Adi Mizrahi
- Department of Neurobiology, Alexander Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel.,The Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
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35
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Mechanisms underlying gain modulation in the cortex. Nat Rev Neurosci 2020; 21:80-92. [PMID: 31911627 DOI: 10.1038/s41583-019-0253-y] [Citation(s) in RCA: 120] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/25/2019] [Indexed: 01/19/2023]
Abstract
Cortical gain regulation allows neurons to respond adaptively to changing inputs. Neural gain is modulated by internal and external influences, including attentional and arousal states, motor activity and neuromodulatory input. These influences converge to a common set of mechanisms for gain modulation, including GABAergic inhibition, synaptically driven fluctuations in membrane potential, changes in cellular conductance and changes in other biophysical neural properties. Recent work has identified GABAergic interneurons as targets of neuromodulatory input and mediators of state-dependent gain modulation. Here, we review the engagement and effects of gain modulation in the cortex. We highlight key recent findings that link phenomenological observations of gain modulation to underlying cellular and circuit-level mechanisms. Finally, we place these cellular and circuit interactions in the larger context of their impact on perception and cognition.
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36
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Khan S, Lu X, Huang Q, Tang J, Weng J, Yang Z, Lv M, Xu X, Xia F, Zhang M, Li Y, Liu S, Leng G, Spitzer N, Du J, Chen X. IGFBP2 Plays an Essential Role in Cognitive Development during Early Life. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2019; 6:1901152. [PMID: 31832311 PMCID: PMC6891907 DOI: 10.1002/advs.201901152] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/15/2019] [Revised: 09/02/2019] [Indexed: 06/10/2023]
Abstract
Identifying the mechanisms underlying cognitive development in early life is a critical objective. The expression of insulin-like growth factor binding protein 2 (IGFBP2) in the hippocampus increases during neonatal development and is associated with learning and memory, but a causal connection has not been established. Here, it is reported that neurons and astrocytes expressing IGFBP2 are distributed throughout the hippocampus. IGFBP2 enhances excitatory inputs onto CA1 pyramidal neurons, facilitating intrinsic excitability and spike transmission, and regulates plasticity at excitatory synapses in a cell-type specific manner. It facilitates long-term potentiation (LTP) by enhancing N-methyl-d-aspartate (NMDA) receptor-dependent excitatory postsynaptic current (EPSC), and enhances neurite proliferation and elongation. Knockout of igfbp2 reduces the numbers of pyramidal cells and interneurons, impairs LTP and cognitive performance, and reduces tonic excitation of pyramidal neurons that are all rescued by IGFBP2. The results provide insight into the requirement for IGFBP2 in cognition in early life.
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Affiliation(s)
- Shumsuzzaman Khan
- Institute of NeuroscienceDepartment of Neurobiology, and Department of Neurology of Second Affiliated HospitalNHC and CAMS Key Laboratory of Medical NeurobiologyKey Laboratory of Medical Neurobiology of Zhejiang ProvinceZhejiang University School of MedicineHangzhou310058China
- Present address:
Case Western Reserve UniversityClevelandOhioUSA
| | - Xinjiang Lu
- Institute of NeuroscienceDepartment of Neurobiology, and Department of Neurology of Second Affiliated HospitalNHC and CAMS Key Laboratory of Medical NeurobiologyKey Laboratory of Medical Neurobiology of Zhejiang ProvinceZhejiang University School of MedicineHangzhou310058China
| | - Qingyao Huang
- Institute of NeuroscienceDepartment of Neurobiology, and Department of Neurology of Second Affiliated HospitalNHC and CAMS Key Laboratory of Medical NeurobiologyKey Laboratory of Medical Neurobiology of Zhejiang ProvinceZhejiang University School of MedicineHangzhou310058China
| | - Jiawei Tang
- Institute of NeuroscienceDepartment of Neurobiology, and Department of Neurology of Second Affiliated HospitalNHC and CAMS Key Laboratory of Medical NeurobiologyKey Laboratory of Medical Neurobiology of Zhejiang ProvinceZhejiang University School of MedicineHangzhou310058China
| | - Jian Weng
- Institute of NeuroscienceDepartment of Neurobiology, and Department of Neurology of Second Affiliated HospitalNHC and CAMS Key Laboratory of Medical NeurobiologyKey Laboratory of Medical Neurobiology of Zhejiang ProvinceZhejiang University School of MedicineHangzhou310058China
| | - Zhi Yang
- Institute of NeuroscienceDepartment of Neurobiology, and Department of Neurology of Second Affiliated HospitalNHC and CAMS Key Laboratory of Medical NeurobiologyKey Laboratory of Medical Neurobiology of Zhejiang ProvinceZhejiang University School of MedicineHangzhou310058China
| | - Minchao Lv
- Institute of NeuroscienceDepartment of Neurobiology, and Department of Neurology of Second Affiliated HospitalNHC and CAMS Key Laboratory of Medical NeurobiologyKey Laboratory of Medical Neurobiology of Zhejiang ProvinceZhejiang University School of MedicineHangzhou310058China
| | - Xiaokang Xu
- Institute of NeuroscienceDepartment of Neurobiology, and Department of Neurology of Second Affiliated HospitalNHC and CAMS Key Laboratory of Medical NeurobiologyKey Laboratory of Medical Neurobiology of Zhejiang ProvinceZhejiang University School of MedicineHangzhou310058China
| | - Fangyuan Xia
- Institute of NeuroscienceDepartment of Neurobiology, and Department of Neurology of Second Affiliated HospitalNHC and CAMS Key Laboratory of Medical NeurobiologyKey Laboratory of Medical Neurobiology of Zhejiang ProvinceZhejiang University School of MedicineHangzhou310058China
| | - Mengchen Zhang
- Institute of NeuroscienceDepartment of Neurobiology, and Department of Neurology of Second Affiliated HospitalNHC and CAMS Key Laboratory of Medical NeurobiologyKey Laboratory of Medical Neurobiology of Zhejiang ProvinceZhejiang University School of MedicineHangzhou310058China
| | - Yi Li
- Institute of NeuroscienceDepartment of Neurobiology, and Department of Neurology of Second Affiliated HospitalNHC and CAMS Key Laboratory of Medical NeurobiologyKey Laboratory of Medical Neurobiology of Zhejiang ProvinceZhejiang University School of MedicineHangzhou310058China
| | - Shuangshuang Liu
- Institute of NeuroscienceDepartment of Neurobiology, and Department of Neurology of Second Affiliated HospitalNHC and CAMS Key Laboratory of Medical NeurobiologyKey Laboratory of Medical Neurobiology of Zhejiang ProvinceZhejiang University School of MedicineHangzhou310058China
| | - Gareth Leng
- Experimental PhysiologyUniversity of EdinburghEdinburghEH8 9XDUK
| | | | - Jizeng Du
- Institute of NeuroscienceDepartment of Neurobiology, and Department of Neurology of Second Affiliated HospitalNHC and CAMS Key Laboratory of Medical NeurobiologyKey Laboratory of Medical Neurobiology of Zhejiang ProvinceZhejiang University School of MedicineHangzhou310058China
| | - Xuequn Chen
- Institute of NeuroscienceDepartment of Neurobiology, and Department of Neurology of Second Affiliated HospitalNHC and CAMS Key Laboratory of Medical NeurobiologyKey Laboratory of Medical Neurobiology of Zhejiang ProvinceZhejiang University School of MedicineHangzhou310058China
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37
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Li N, Chen S, Guo ZV, Chen H, Huo Y, Inagaki HK, Chen G, Davis C, Hansel D, Guo C, Svoboda K. Spatiotemporal constraints on optogenetic inactivation in cortical circuits. eLife 2019; 8:e48622. [PMID: 31736463 PMCID: PMC6892606 DOI: 10.7554/elife.48622] [Citation(s) in RCA: 104] [Impact Index Per Article: 20.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Accepted: 11/16/2019] [Indexed: 12/21/2022] Open
Abstract
Optogenetics allows manipulations of genetically and spatially defined neuronal populations with excellent temporal control. However, neurons are coupled with other neurons over multiple length scales, and the effects of localized manipulations thus spread beyond the targeted neurons. We benchmarked several optogenetic methods to inactivate small regions of neocortex. Optogenetic excitation of GABAergic neurons produced more effective inactivation than light-gated ion pumps. Transgenic mice expressing the light-dependent chloride channel GtACR1 produced the most potent inactivation. Generally, inactivation spread substantially beyond the photostimulation light, caused by strong coupling between cortical neurons. Over some range of light intensity, optogenetic excitation of inhibitory neurons reduced activity in these neurons, together with pyramidal neurons, a signature of inhibition-stabilized neural networks ('paradoxical effect'). The offset of optogenetic inactivation was followed by rebound excitation in a light dose-dependent manner, limiting temporal resolution. Our data offer guidance for the design of in vivo optogenetics experiments.
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Affiliation(s)
- Nuo Li
- Department of NeuroscienceBaylor College of MedicineHoustonUnited States
- Janelia Research CampusAshburnUnited States
| | - Susu Chen
- Janelia Research CampusAshburnUnited States
| | - Zengcai V Guo
- Janelia Research CampusAshburnUnited States
- School of MedicineTsinghua UniversityBeijingChina
| | - Han Chen
- School of MedicineTsinghua UniversityBeijingChina
| | - Yan Huo
- School of MedicineTsinghua UniversityBeijingChina
| | | | - Guang Chen
- Department of NeuroscienceBaylor College of MedicineHoustonUnited States
| | - Courtney Davis
- Department of NeuroscienceBaylor College of MedicineHoustonUnited States
- Janelia Research CampusAshburnUnited States
| | - David Hansel
- Center of Neurophysics, Physiology and Pathologies, CNRS-UMR8119ParisFrance
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Movement and VIP Interneuron Activation Differentially Modulate Encoding in Mouse Auditory Cortex. eNeuro 2019; 6:ENEURO.0164-19.2019. [PMID: 31481397 PMCID: PMC6751373 DOI: 10.1523/eneuro.0164-19.2019] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2019] [Revised: 08/02/2019] [Accepted: 08/14/2019] [Indexed: 11/22/2022] Open
Abstract
Information processing in sensory cortex is highly sensitive to nonsensory variables such as anesthetic state, arousal, and task engagement. Recent work in mouse visual cortex suggests that evoked firing rates, stimulus–response mutual information, and encoding efficiency increase when animals are engaged in movement. A disinhibitory circuit appears central to this change: inhibitory neurons expressing vasoactive intestinal peptide (VIP) are activated during movement and disinhibit pyramidal cells by suppressing other inhibitory interneurons. Paradoxically, although movement activates a similar disinhibitory circuit in auditory cortex (ACtx), most ACtx studies report reduced spiking during movement. It is unclear whether the resulting changes in spike rates result in corresponding changes in stimulus–response mutual information. We examined ACtx responses evoked by tone cloud stimuli, in awake mice of both sexes, during spontaneous movement and still conditions. VIP+ cells were optogenetically activated on half of trials, permitting independent analysis of the consequences of movement and VIP activation, as well as their intersection. Movement decreased stimulus-related spike rates as well as mutual information and encoding efficiency. VIP interneuron activation tended to increase stimulus-evoked spike rates but not stimulus–response mutual information, thus reducing encoding efficiency. The intersection of movement and VIP activation was largely consistent with a linear combination of these main effects: VIP activation recovered movement-induced reduction in spike rates, but not information transfer.
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39
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Lyngholm D, Sakata S. Cre-Dependent Optogenetic Transgenic Mice Without Early Age-Related Hearing Loss. Front Aging Neurosci 2019; 11:29. [PMID: 30863301 PMCID: PMC6399395 DOI: 10.3389/fnagi.2019.00029] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2018] [Accepted: 02/01/2019] [Indexed: 12/30/2022] Open
Abstract
With the advent of recent genetic technologies for mice, it is now feasible to investigate the circuit mechanisms of brain functions in an unprecedented manner. Although transgenic mice are commonly used on C57BL/6J (C57) background, hearing research has typically relied on different genetic backgrounds, such as CBA/Ca or CBA due to the genetic defect of C57 mice for early age-related hearing loss. This limits the utilization of available genetic resources for hearing research. Here we report congenic (>F10) Cre-dependent channelrhodopsin2 (ChR2) mice on CBA/Ca background. By crossing this line with Cre-driver mice on C57 background, F1 hybrids restored the hearing deficit of C57 mice. We also found a linear relationship between aging and hearing loss, with progression rates varied depending on genetic backgrounds (3.39 dB/month for C57; 0.82 dB/month for F1 hybrid). We further demonstrate that this approach allows to express ChR2 in a specific type of inhibitory neurons in the auditory cortex and that they can be identified within a simultaneously recorded population of neurons in awake mice. Thus, our Cre-dependent optogenetic transgenic mice on CBA/Ca background are a valuable tool to investigate the circuit mechanisms of hearing across lifespan.
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Affiliation(s)
- Daniel Lyngholm
- Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow, United Kingdom
| | - Shuzo Sakata
- Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow, United Kingdom
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40
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Sun YJ, Liu BH, Tao HW, Zhang LI. Selective Strengthening of Intracortical Excitatory Input Leads to Receptive Field Refinement during Auditory Cortical Development. J Neurosci 2019; 39:1195-1205. [PMID: 30587538 PMCID: PMC6381237 DOI: 10.1523/jneurosci.2492-18.2018] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2018] [Revised: 11/17/2018] [Accepted: 12/07/2018] [Indexed: 11/21/2022] Open
Abstract
In the primary auditory cortex (A1) of rats, refinement of excitatory input to layer (L)4 neurons contributes to the sharpening of their frequency selectivity during postnatal development. L4 neurons receive both feedforward thalamocortical and recurrent intracortical inputs, but how potential developmental changes of each component can account for the sharpening of excitatory input tuning remains unclear. By combining in vivo whole-cell recording and pharmacological silencing of cortical spiking in young rats of both sexes, we examined developmental changes at three hierarchical stages: output of auditory thalamic neurons, thalamocortical input and recurrent excitatory input to an A1 L4 neuron. In the thalamus, the tonotopic map matured with an expanded range of frequency representations, while the frequency tuning of output responses was unchanged. On the other hand, the tuning shape of both thalamocortical and intracortical excitatory inputs to a L4 neuron became sharpened. In particular, the intracortical input became better tuned than thalamocortical excitation. Moreover, the weight of intracortical excitation around the optimal frequency was selectively strengthened, resulting in a dominant role of intracortical excitation in defining the total excitatory input tuning. Our modeling work further demonstrates that the frequency-selective strengthening of local recurrent excitatory connections plays a major role in the refinement of excitatory input tuning of L4 neurons.SIGNIFICANCE STATEMENT During postnatal development, sensory cortex undergoes functional refinement, through which the size of sensory receptive field is reduced. In the rat primary auditory cortex, such refinement in layer (L)4 is mainly attributed to improved selectivity of excitatory input a L4 neuron receives. In this study, we further examined three stages along the hierarchical neural pathway where excitatory input refinement might occur. We found that developmental refinement takes place at both thalamocortical and intracortical circuit levels, but not at the thalamic output level. Together with modeling results, we revealed that the optimal-frequency-selective strengthening of intracortical excitation plays a dominant role in the refinement of excitatory input tuning.
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Affiliation(s)
- Yujiao J Sun
- Zilkha Neurogenetic Institute
- Graduate Program in Physiology and Biophysics, Keck School of Medicine, University of Southern California, Los Angeles, California 90089
| | - Bao-Hua Liu
- Zilkha Neurogenetic Institute
- Graduate Program in Physiology and Biophysics, Keck School of Medicine, University of Southern California, Los Angeles, California 90089
| | - Huizhong W Tao
- Zilkha Neurogenetic Institute,
- Department of Physiology and Neuroscience, and
| | - Li I Zhang
- Zilkha Neurogenetic Institute,
- Department of Physiology and Neuroscience, and
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41
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Krause BM, Murphy CA, Uhlrich DJ, Banks MI. PV+ Cells Enhance Temporal Population Codes but not Stimulus-Related Timing in Auditory Cortex. Cereb Cortex 2019; 29:627-647. [PMID: 29300837 PMCID: PMC6319178 DOI: 10.1093/cercor/bhx345] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2017] [Revised: 11/30/2017] [Accepted: 12/05/2017] [Indexed: 01/05/2023] Open
Abstract
Spatio-temporal cortical activity patterns relative to both peripheral input and local network activity carry information about stimulus identity and context. GABAergic interneurons are reported to regulate spiking at millisecond precision in response to sensory stimulation and during gamma oscillations; their role in regulating spike timing during induced network bursts is unclear. We investigated this issue in murine auditory thalamo-cortical (TC) brain slices, in which TC afferents induced network bursts similar to previous reports in vivo. Spike timing relative to TC afferent stimulation during bursts was poor in pyramidal cells and SOM+ interneurons. It was more precise in PV+ interneurons, consistent with their reported contribution to spiking precision in pyramidal cells. Optogenetic suppression of PV+ cells unexpectedly improved afferent-locked spike timing in pyramidal cells. In contrast, our evidence suggests that PV+ cells do regulate the spatio-temporal spike pattern of pyramidal cells during network bursts, whose organization is suited to ensemble coding of stimulus information. Simulations showed that suppressing PV+ cells reduces the capacity of pyramidal cell networks to produce discriminable spike patterns. By dissociating temporal precision with respect to a stimulus versus internal cortical activity, we identified a novel role for GABAergic cells in regulating information processing in cortical networks.
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Affiliation(s)
- Bryan M Krause
- Department of Anesthesiology, University of Wisconsin, Madison, WI, USA
- Neuroscience Training Program, University of Wisconsin, Madison, WI, USA
| | - Caitlin A Murphy
- Physiology Graduate Training Program, University of Wisconsin, Madison, WI, USA
| | - Daniel J Uhlrich
- Department of Neuroscience, University of Wisconsin, Madison, WI, USA
| | - Matthew I Banks
- Department of Anesthesiology, University of Wisconsin, Madison, WI, USA
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42
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Cone JJ, Scantlen MD, Histed MH, Maunsell JHR. Different Inhibitory Interneuron Cell Classes Make Distinct Contributions to Visual Contrast Perception. eNeuro 2019; 6:ENEURO.0337-18.2019. [PMID: 30868104 PMCID: PMC6414440 DOI: 10.1523/eneuro.0337-18.2019] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2018] [Revised: 12/21/2018] [Accepted: 01/12/2019] [Indexed: 01/19/2023] Open
Abstract
While recent work has revealed how different inhibitory interneurons influence responses of cortical neurons to sensory stimuli, little is known about their distinct contributions to sensory perception. Here, we optogenetically activated different genetically defined interneurons [parvalbumin (PV), somatostatin (SST), vasoactive intestinal peptide (VIP)] in visual cortex (V1) of mice working at threshold in a contrast increment detection task. The visual stimulus was paired with optogenetic stimulation to assess how enhancing V1 inhibitory neuron activity during visual processing altered task performance. PV or SST activation impaired, while VIP stimulation improved, contrast increment detection. The impairment produced by PV or SST activation persisted over several weeks of testing. In contrast, mice learned to reliably detect VIP activation in the absence of any natural visual stimulus. Thus, different inhibitory signals make distinct contributions to visual contrast perception.
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Affiliation(s)
- Jackson J. Cone
- Department of Neurobiology, University of Chicago, Chicago, IL 60637
| | - Megan D. Scantlen
- Department of Neurobiology, University of Chicago, Chicago, IL 60637
| | - Mark H. Histed
- Unit on Neural Computation and Behavior, National Institute of Mental Health, Bethesda, MD 20814
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43
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Natan RG, Rao W, Geffen MN. Cortical Interneurons Differentially Shape Frequency Tuning following Adaptation. Cell Rep 2018; 21:878-890. [PMID: 29069595 DOI: 10.1016/j.celrep.2017.10.012] [Citation(s) in RCA: 68] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2017] [Revised: 08/07/2017] [Accepted: 10/03/2017] [Indexed: 01/16/2023] Open
Abstract
Neuronal stimulus selectivity is shaped by feedforward and recurrent excitatory-inhibitory interactions. In the auditory cortex (AC), parvalbumin- (PV) and somatostatin-positive (SOM) inhibitory interneurons differentially modulate frequency-dependent responses of excitatory neurons. Responsiveness of neurons in the AC to sound is also dependent on stimulus history. We found that the inhibitory effects of SOMs and PVs diverged as a function of adaptation to temporal repetition of tones. Prior to adaptation, suppressing either SOM or PV inhibition drove both increases and decreases in excitatory spiking activity. After adaptation, suppressing SOM activity caused predominantly disinhibitory effects, whereas suppressing PV activity still evoked bi-directional changes. SOM, but not PV-driven inhibition, dynamically modulated frequency tuning with adaptation. Unlike PV-driven inhibition, SOM-driven inhibition elicited gain-like increases in frequency tuning reflective of adaptation. Our findings suggest that distinct cortical interneurons differentially shape tuning to sensory stimuli across the neuronal receptive field, altering frequency selectivity of excitatory neurons during adaptation.
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Affiliation(s)
- Ryan G Natan
- Department of Otorhinolaryngology: HNS and Department of Neuroscience, University of Pennsylvania, Philadelphia, PA, USA
| | - Winnie Rao
- Department of Otorhinolaryngology: HNS and Department of Neuroscience, University of Pennsylvania, Philadelphia, PA, USA
| | - Maria N Geffen
- Department of Otorhinolaryngology: HNS and Department of Neuroscience, University of Pennsylvania, Philadelphia, PA, USA.
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44
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Phillips EAK, Schreiner CE, Hasenstaub AR. Cortical Interneurons Differentially Regulate the Effects of Acoustic Context. Cell Rep 2018; 20:771-778. [PMID: 28746863 DOI: 10.1016/j.celrep.2017.07.001] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2017] [Revised: 06/19/2017] [Accepted: 06/29/2017] [Indexed: 10/19/2022] Open
Abstract
Both behavioral and neural responses to sounds are generally modified by the acoustic context in which they are encountered. As an example, in the auditory cortex, preceding sounds can powerfully suppress responses to later, spectrally similar sounds-a phenomenon called forward suppression (FWS). Whether cortical inhibitory networks shape such suppression or whether it is wholly regulated by common mechanisms such as synaptic depression or spike frequency adaptation is controversial. Here, we show that optogenetically suppressing somatostatin-positive (Sst+) interneurons weakens forward suppression, often revealing facilitation in neurons that are normally forward-suppressed. In contrast, inactivating parvalbumin-positive (Pvalb+) interneurons strengthens forward suppression and alters its frequency dependence. In a simple network model, we show that these effects can be accounted for by differences in short-term synaptic dynamics of inputs onto Pvalb+ and Sst+ interneurons. These results demonstrate separate roles for somatostatin and parvalbumin interneurons in regulating the context dependence of auditory processing.
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Affiliation(s)
- Elizabeth A K Phillips
- Coleman Memorial Laboratory, University of California, San Francisco, San Francisco, CA 94158, USA; Neuroscience Graduate Program, University of California, San Francisco, San Francisco, CA 94158, USA; Department of Otolaryngology - Head and Neck Surgery, University of California, San Francisco, San Francisco, CA 94158, USA; Kavli Institute for Theoretical Physics, University of California, Santa Barbara, Santa Barbara, CA 93106, USA
| | - Christoph E Schreiner
- Coleman Memorial Laboratory, University of California, San Francisco, San Francisco, CA 94158, USA; Neuroscience Graduate Program, University of California, San Francisco, San Francisco, CA 94158, USA; Department of Otolaryngology - Head and Neck Surgery, University of California, San Francisco, San Francisco, CA 94158, USA; Kavli Institute for Theoretical Physics, University of California, Santa Barbara, Santa Barbara, CA 93106, USA
| | - Andrea R Hasenstaub
- Coleman Memorial Laboratory, University of California, San Francisco, San Francisco, CA 94158, USA; Neuroscience Graduate Program, University of California, San Francisco, San Francisco, CA 94158, USA; Department of Otolaryngology - Head and Neck Surgery, University of California, San Francisco, San Francisco, CA 94158, USA; Kavli Institute for Theoretical Physics, University of California, Santa Barbara, Santa Barbara, CA 93106, USA.
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45
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Moore AK, Weible AP, Balmer TS, Trussell LO, Wehr M. Rapid Rebalancing of Excitation and Inhibition by Cortical Circuitry. Neuron 2018; 97:1341-1355.e6. [PMID: 29503186 PMCID: PMC5875716 DOI: 10.1016/j.neuron.2018.01.045] [Citation(s) in RCA: 73] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2016] [Revised: 07/29/2017] [Accepted: 01/24/2018] [Indexed: 12/23/2022]
Abstract
Excitation is balanced by inhibition to cortical neurons across a wide range of conditions. To understand how this relationship is maintained, we broadly suppressed the activity of parvalbumin-expressing (PV+) inhibitory neurons and asked how this affected the balance of excitation and inhibition throughout auditory cortex. Activating archaerhodopsin in PV+ neurons effectively suppressed them in layer 4. However, the resulting increase in excitation outweighed Arch suppression and produced a net increase in PV+ activity in downstream layers. Consequently, suppressing PV+ neurons did not reduce inhibition to principal neurons (PNs) but instead resulted in a tightly coordinated increase in both excitation and inhibition. The increase in inhibition constrained the magnitude of PN spiking responses to the increase in excitation and produced nonlinear changes in spike tuning. Excitatory-inhibitory rebalancing is mediated by strong PN-PV+ connectivity within and between layers and is likely engaged during normal cortical operation to ensure balance in downstream neurons.
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Affiliation(s)
- Alexandra K Moore
- Institute of Neuroscience, University of Oregon, Eugene, OR 97403, USA
| | - Aldis P Weible
- Institute of Neuroscience, University of Oregon, Eugene, OR 97403, USA
| | - Timothy S Balmer
- Vollum Institute, Oregon Health and Sciences University, Portland, OR 97239, USA
| | - Laurence O Trussell
- Vollum Institute, Oregon Health and Sciences University, Portland, OR 97239, USA
| | - Michael Wehr
- Institute of Neuroscience, University of Oregon, Eugene, OR 97403, USA.
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Hoglen NEG, Larimer P, Phillips EAK, Malone BJ, Hasenstaub AR. Amplitude modulation coding in awake mice and squirrel monkeys. J Neurophysiol 2018; 119:1753-1766. [PMID: 29364073 DOI: 10.1152/jn.00101.2017] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Both mice and primates are used to model the human auditory system. The primate order possesses unique cortical specializations that govern auditory processing. Given the power of molecular and genetic tools available in the mouse model, it is essential to understand the similarities and differences in auditory cortical processing between mice and primates. To address this issue, we directly compared temporal encoding properties of neurons in the auditory cortex of awake mice and awake squirrel monkeys (SQMs). Stimuli were drawn from a sinusoidal amplitude modulation (SAM) paradigm, which has been used previously both to characterize temporal precision and to model the envelopes of natural sounds. Neural responses were analyzed with linear template-based decoders. In both species, spike timing information supported better modulation frequency discrimination than rate information, and multiunit responses generally supported more accurate discrimination than single-unit responses from the same site. However, cortical responses in SQMs supported better discrimination overall, reflecting superior temporal precision and greater rate modulation relative to the spontaneous baseline and suggesting that spiking activity in mouse cortex was less strictly regimented by incoming acoustic information. The quantitative differences we observed between SQM and mouse cortex support the idea that SQMs offer advantages for modeling precise responses to fast envelope dynamics relevant to human auditory processing. Nevertheless, our results indicate that cortical temporal processing is qualitatively similar in mice and SQMs and thus recommend the mouse model for mechanistic questions, such as development and circuit function, where its substantial methodological advantages can be exploited. NEW & NOTEWORTHY To understand the advantages of different model organisms, it is necessary to directly compare sensory responses across species. Contrasting temporal processing in auditory cortex of awake squirrel monkeys and mice, with parametrically matched amplitude-modulated tone stimuli, reveals a similar role of timing information in stimulus encoding. However, disparities in response precision and strength suggest that anatomical and biophysical differences between squirrel monkeys and mice produce quantitative but not qualitative differences in processing strategy.
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Affiliation(s)
- Nerissa E G Hoglen
- Center for Integrative Neuroscience, University of California , San Francisco, California.,Department of Otolaryngology-Head and Neck Surgery, University of California , San Francisco, California.,Coleman Memorial Laboratory, University of California , San Francisco, California.,Kavli Institute for Fundamental Neuroscience, University of California , San Francisco, California.,Department of Psychiatry, University of California , San Francisco, California.,Neuroscience Graduate Program, University of California , San Francisco, California
| | - Phillip Larimer
- Center for Integrative Neuroscience, University of California , San Francisco, California.,Coleman Memorial Laboratory, University of California , San Francisco, California.,Department of Neurology, University of California , San Francisco, California
| | - Elizabeth A K Phillips
- Center for Integrative Neuroscience, University of California , San Francisco, California.,Department of Otolaryngology-Head and Neck Surgery, University of California , San Francisco, California.,Coleman Memorial Laboratory, University of California , San Francisco, California.,Neuroscience Graduate Program, University of California , San Francisco, California
| | - Brian J Malone
- Department of Otolaryngology-Head and Neck Surgery, University of California , San Francisco, California.,Coleman Memorial Laboratory, University of California , San Francisco, California.,Kavli Institute for Fundamental Neuroscience, University of California , San Francisco, California
| | - Andrea R Hasenstaub
- Center for Integrative Neuroscience, University of California , San Francisco, California.,Department of Otolaryngology-Head and Neck Surgery, University of California , San Francisco, California.,Coleman Memorial Laboratory, University of California , San Francisco, California.,Kavli Institute for Fundamental Neuroscience, University of California , San Francisco, California
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47
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Cortical Neural Activity Predicts Sensory Acuity Under Optogenetic Manipulation. J Neurosci 2018; 38:2094-2105. [PMID: 29367406 DOI: 10.1523/jneurosci.2457-17.2017] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2017] [Revised: 11/14/2017] [Accepted: 12/15/2017] [Indexed: 11/21/2022] Open
Abstract
Excitatory and inhibitory neurons in the mammalian sensory cortex form interconnected circuits that control cortical stimulus selectivity and sensory acuity. Theoretical studies have predicted that suppression of inhibition in such excitatory-inhibitory networks can lead to either an increase or, paradoxically, a decrease in excitatory neuronal firing, with consequent effects on stimulus selectivity. We tested whether modulation of inhibition or excitation in the auditory cortex of male mice could evoke such a variety of effects in tone-evoked responses and in behavioral frequency discrimination acuity. We found that, indeed, the effects of optogenetic manipulation on stimulus selectivity and behavior varied in both magnitude and sign across subjects, possibly reflecting differences in circuitry or expression of optogenetic factors. Changes in neural population responses consistently predicted behavioral changes for individuals separately, including improvement and impairment in acuity. This correlation between cortical and behavioral change demonstrates that, despite the complex and varied effects that these manipulations can have on neuronal dynamics, the resulting changes in cortical activity account for accompanying changes in behavioral acuity.SIGNIFICANCE STATEMENT Excitatory and inhibitory interactions determine stimulus specificity and tuning in sensory cortex, thereby controlling perceptual discrimination acuity. Modeling has predicted that suppressing the activity of inhibitory neurons can lead to increased or, paradoxically, decreased excitatory activity depending on the architecture of the network. Here, we capitalized on differences between subjects to test whether suppressing/activating inhibition and excitation can in fact exhibit such paradoxical effects for both stimulus sensitivity and behavioral discriminability. Indeed, the same optogenetic manipulation in the auditory cortex of different mice could improve or impair frequency discrimination acuity, predictable from the effects on cortical responses to tones. The same manipulations sometimes produced opposite changes in the behavior of different individuals, supporting theoretical predictions for inhibition-stabilized networks.
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Garcia Del Molino LC, Yang GR, Mejias JF, Wang XJ. Paradoxical response reversal of top-down modulation in cortical circuits with three interneuron types. eLife 2017; 6:29742. [PMID: 29256863 PMCID: PMC5777826 DOI: 10.7554/elife.29742] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2017] [Accepted: 12/02/2017] [Indexed: 11/13/2022] Open
Abstract
Pyramidal cells and interneurons expressing parvalbumin (PV), somatostatin (SST), and vasoactive intestinal peptide (VIP) show cell-type-specific connectivity patterns leading to a canonical microcircuit across cortex. Experiments recording from this circuit often report counterintuitive and seemingly contradictory findings. For example, the response of SST cells in mouse V1 to top-down behavioral modulation can change its sign when the visual input changes, a phenomenon that we call response reversal. We developed a theoretical framework to explain these seemingly contradictory effects as emerging phenomena in circuits with two key features: interactions between multiple neural populations and a nonlinear neuronal input-output relationship. Furthermore, we built a cortical circuit model which reproduces counterintuitive dynamics observed in mouse V1. Our analytical calculations pinpoint connection properties critical to response reversal, and predict additional novel types of complex dynamics that could be tested in future experiments.
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Affiliation(s)
| | | | - Jorge F Mejias
- Center for Neural Science, New York University, New York, United States
| | - Xiao-Jing Wang
- Center for Neural Science, New York University, New York, United States
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Blackwell JM, Geffen MN. Progress and challenges for understanding the function of cortical microcircuits in auditory processing. Nat Commun 2017; 8:2165. [PMID: 29255268 PMCID: PMC5735136 DOI: 10.1038/s41467-017-01755-2] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2017] [Accepted: 10/12/2017] [Indexed: 12/21/2022] Open
Abstract
An important outstanding question in auditory neuroscience is to identify the mechanisms by which specific motifs within inter-connected neural circuits affect auditory processing and, ultimately, behavior. In the auditory cortex, a combination of large-scale electrophysiological recordings and concurrent optogenetic manipulations are improving our understanding of the role of inhibitory–excitatory interactions. At the same time, computational approaches have grown to incorporate diverse neuronal types and connectivity patterns. However, we are still far from understanding how cortical microcircuits encode and transmit information about complex acoustic scenes. In this review, we focus on recent results identifying the special function of different cortical neurons in the auditory cortex and discuss a computational framework for future work that incorporates ideas from network science and network dynamics toward the coding of complex auditory scenes. Advances in multi-neuron recordings and optogenetic manipulation have resulted in an interrogation of the function of specific cortical cell types in auditory cortex during sound processing. Here, the authors review this literature and discuss the merits of integrating computational approaches from dynamic network science.
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Affiliation(s)
- Jennifer M Blackwell
- Department of Otorhinolaryngology: HNS, Department of Neuroscience, Neuroscience Graduate Group, Computational Neuroscience Initiative, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Maria N Geffen
- Department of Otorhinolaryngology: HNS, Department of Neuroscience, Neuroscience Graduate Group, Computational Neuroscience Initiative, University of Pennsylvania, Philadelphia, PA, 19104, USA.
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50
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Abstract
In this issue of Neuron, Guo et al. (2017) describe a layer 6 corticothalamic circuit that alternately drives cortical states favoring either sensory detection or discrimination. They also identify a neural mechanism that resets the phase of low-frequency cortical oscillations.
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Affiliation(s)
- Jennifer F Linden
- Ear Institute and Department of Neuroscience, Physiology & Pharmacology, University College London, 332 Gray's Inn Road, London, WC1X 8EE, UK.
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