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Fournier LA, Phadke RA, Salgado M, Brack A, Nocon JC, Bolshakova S, Grant JR, Padró Luna NM, Sen K, Cruz-Martín A. Overexpression of the schizophrenia risk gene C4 in PV cells drives sex-dependent behavioral deficits and circuit dysfunction. bioRxiv 2024:2024.01.27.575409. [PMID: 38328248 PMCID: PMC10849664 DOI: 10.1101/2024.01.27.575409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/09/2024]
Abstract
Fast-spiking parvalbumin (PV)-positive cells are key players in orchestrating pyramidal neuron activity, and their dysfunction is consistently observed in myriad brain diseases. To understand how immune complement dysregulation - a prevalent locus of brain disease etiology - in PV cells may drive disease pathogenesis, we have developed a transgenic mouse line that permits cell-type specific overexpression of the schizophrenia-associated complement component 4 (C4) gene. We found that overexpression of mouse C4 (mC4) in PV cells causes sex-specific behavioral alterations and concomitant deficits in synaptic connectivity and excitability of PV cells of the prefrontal cortex. Using a computational network, we demonstrated that these microcircuit deficits led to hyperactivity and disrupted neural communication. Finally, pan-neuronal overexpression of mC4 failed to evoke the same deficits in behavior as PV-specific mC4 overexpression, suggesting that C4 perturbations in fast-spiking neurons are more harmful to brain function than pan-neuronal alterations. Together, these results provide a causative link between C4 and the vulnerability of PV cells in brain disease.
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Affiliation(s)
- Luke A. Fournier
- Neurobiology Section in the Department of Biology, Boston University, Boston, MA, United States
| | - Rhushikesh A. Phadke
- Molecular Biology, Cell Biology & Biochemistry Program, Boston University, Boston, MA, United States
| | - Maria Salgado
- Neurobiology Section in the Department of Biology, Boston University, Boston, MA, United States
| | - Alison Brack
- Molecular Biology, Cell Biology & Biochemistry Program, Boston University, Boston, MA, United States
| | - Jian Carlo Nocon
- Neurophotonics Center, Boston University, Boston, Massachusetts, United States
- Center for Systems Neuroscience, Boston University, Boston, Massachusetts, United States
- Hearing Research Center, Boston University, Boston, Massachusetts, United States
- Department of Biomedical Engineering, Boston University, Boston, Massachusetts, United States
| | - Sonia Bolshakova
- Neurobiology Section in the Department of Biology, Boston University, Boston, MA, United States
- Bioinformatics MS Program, Boston University, Boston, MA, United States
| | - Jaylyn R. Grant
- Biological Sciences, Eastern Illinois University, Charleston, IL, United States
- The Summer Undergraduate Research Fellowship (SURF) Program, Boston University, Boston, United States
| | - Nicole M. Padró Luna
- The Summer Undergraduate Research Fellowship (SURF) Program, Boston University, Boston, United States
- Biology Department, College of Natural Sciences, University of Puerto Rico, Rio Piedras Campus, San Juan, Puerto Rico
| | - Kamal Sen
- Neurophotonics Center, Boston University, Boston, Massachusetts, United States
- Center for Systems Neuroscience, Boston University, Boston, Massachusetts, United States
- Hearing Research Center, Boston University, Boston, Massachusetts, United States
- Department of Biomedical Engineering, Boston University, Boston, Massachusetts, United States
| | - Alberto Cruz-Martín
- Neurobiology Section in the Department of Biology, Boston University, Boston, MA, United States
- Molecular Biology, Cell Biology & Biochemistry Program, Boston University, Boston, MA, United States
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Nocon JC, Witter J, Gritton H, Han X, Houghton C, Sen K. A robust and compact population code for competing sounds in auditory cortex. J Neurophysiol 2023; 130:775-787. [PMID: 37646080 PMCID: PMC10642980 DOI: 10.1152/jn.00148.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 08/22/2023] [Accepted: 08/24/2023] [Indexed: 09/01/2023] Open
Abstract
Cortical circuits encoding sensory information consist of populations of neurons, yet how information aggregates via pooling individual cells remains poorly understood. Such pooling may be particularly important in noisy settings where single-neuron encoding is degraded. One example is the cocktail party problem, with competing sounds from multiple spatial locations. How populations of neurons in auditory cortex code competing sounds have not been previously investigated. Here, we apply a novel information-theoretic approach to estimate information in populations of neurons in mouse auditory cortex about competing sounds from multiple spatial locations, including both summed population (SP) and labeled line (LL) codes. We find that a small subset of neurons is sufficient to nearly maximize mutual information over different spatial configurations, with the labeled line code outperforming the summed population code and approaching information levels attained in the absence of competing stimuli. Finally, information in the labeled line code increases with spatial separation between target and masker, in correspondence with behavioral results on spatial release from masking in humans and animals. Taken together, our results reveal that a compact population of neurons in auditory cortex provides a robust code for competing sounds from different spatial locations.NEW & NOTEWORTHY Little is known about how populations of neurons within cortical circuits encode sensory stimuli in the presence of competing stimuli at other spatial locations. Here, we investigate this problem in auditory cortex using a recently proposed information-theoretic approach. We find a small subset of neurons nearly maximizes information about target sounds in the presence of competing maskers, approaching information levels for isolated stimuli, and provides a noise-robust code for sounds in a complex auditory scene.
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Affiliation(s)
- Jian Carlo Nocon
- Neurophotonics Center, Boston University, Boston, Massachusetts, United States
- Center for Systems Neuroscience, Boston University, Boston, Massachusetts, United States
- Hearing Research Center, Boston University, Boston, Massachusetts, United States
- Department of Biomedical Engineering, Boston University, Boston, Massachusetts, United States
| | - Jake Witter
- Department of Computer Science, University of Bristol, Bristol, United Kingdom
| | - Howard Gritton
- Department of Comparative Biosciences, University of Illinois, Urbana, Illinois, United States
- Department of Bioengineering, University of Illinois, Urbana, Illinois, United States
| | - Xue Han
- Neurophotonics Center, Boston University, Boston, Massachusetts, United States
- Center for Systems Neuroscience, Boston University, Boston, Massachusetts, United States
- Hearing Research Center, Boston University, Boston, Massachusetts, United States
- Department of Biomedical Engineering, Boston University, Boston, Massachusetts, United States
| | - Conor Houghton
- Department of Computer Science, University of Bristol, Bristol, United Kingdom
| | - Kamal Sen
- Neurophotonics Center, Boston University, Boston, Massachusetts, United States
- Center for Systems Neuroscience, Boston University, Boston, Massachusetts, United States
- Hearing Research Center, Boston University, Boston, Massachusetts, United States
- Department of Biomedical Engineering, Boston University, Boston, Massachusetts, United States
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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