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A Dehaqani A, Michelon F, Patella P, Petrucco L, Piasini E, Iurilli G. A mechanosensory feedback that uncouples external and self-generated sensory responses in the olfactory cortex. Cell Rep 2024; 43:114013. [PMID: 38551962 DOI: 10.1016/j.celrep.2024.114013] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Revised: 12/20/2023] [Accepted: 03/13/2024] [Indexed: 04/28/2024] Open
Abstract
Sampling behaviors have sensory consequences that can hinder perceptual stability. In olfaction, sniffing affects early odor encoding, mimicking a sudden change in odor concentration. We examined how the inhalation speed affects the representation of odor concentration in the main olfactory cortex. Neurons combine the odor input with a global top-down signal preceding the sniff and a mechanosensory feedback generated by the air passage through the nose during inhalation. Still, the population representation of concentration is remarkably sniff invariant. This is because the mechanosensory and olfactory responses are uncorrelated within and across neurons. Thus, faster odor inhalation and an increase in concentration change the cortical activity pattern in distinct ways. This encoding strategy affords tolerance to potential concentration fluctuations caused by varying inhalation speeds. Since mechanosensory reafferences are widespread across sensory systems, the coding scheme described here may be a canonical strategy to mitigate the sensory ambiguities caused by movements.
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Affiliation(s)
- Alireza A Dehaqani
- Center for Neuroscience and Cognitive Systems, Istituto Italiano di Tecnologia, 38068 Rovereto, Italy; CIMeC, University of Trento, 38068 Rovereto, Italy
| | - Filippo Michelon
- Center for Neuroscience and Cognitive Systems, Istituto Italiano di Tecnologia, 38068 Rovereto, Italy; CIMeC, University of Trento, 38068 Rovereto, Italy
| | - Paola Patella
- Center for Neuroscience and Cognitive Systems, Istituto Italiano di Tecnologia, 38068 Rovereto, Italy
| | - Luigi Petrucco
- Center for Neuroscience and Cognitive Systems, Istituto Italiano di Tecnologia, 38068 Rovereto, Italy
| | - Eugenio Piasini
- International School for Advanced Studies (SISSA), Trieste, Italy
| | - Giuliano Iurilli
- Center for Neuroscience and Cognitive Systems, Istituto Italiano di Tecnologia, 38068 Rovereto, Italy.
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Petrucco L, Lavian H, Wu YK, Svara F, Štih V, Portugues R. Neural dynamics and architecture of the heading direction circuit in zebrafish. Nat Neurosci 2023; 26:765-773. [PMID: 37095397 PMCID: PMC10166860 DOI: 10.1038/s41593-023-01308-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 03/16/2023] [Indexed: 04/26/2023]
Abstract
Animals generate neural representations of their heading direction. Notably, in insects, heading direction is topographically represented by the activity of neurons in the central complex. Although head direction cells have been found in vertebrates, the connectivity that endows them with their properties is unknown. Using volumetric lightsheet imaging, we find a topographical representation of heading direction in a neuronal network in the zebrafish anterior hindbrain, where a sinusoidal bump of activity rotates following directional swims of the fish and is otherwise stable over many seconds. Electron microscopy reconstructions show that, although the cell bodies are located in a dorsal region, these neurons arborize in the interpeduncular nucleus, where reciprocal inhibitory connectivity stabilizes the ring attractor network that encodes heading. These neurons resemble those found in the fly central complex, showing that similar circuit architecture principles may underlie the representation of heading direction across the animal kingdom and paving the way to an unprecedented mechanistic understanding of these networks in vertebrates.
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Affiliation(s)
- Luigi Petrucco
- Institute of Neuroscience, Technical University of Munich, Munich, Germany
- Graduate School of Systemic Neurosciences, Ludwig-Maximilian University, Munich, Germany
| | - Hagar Lavian
- Institute of Neuroscience, Technical University of Munich, Munich, Germany
| | - You Kure Wu
- Institute of Neuroscience, Technical University of Munich, Munich, Germany
| | - Fabian Svara
- Department of Computational Neuroethology, Max Planck Institute for Neurobiology of Behavior - caesar, Bonn, Germany
| | | | - Ruben Portugues
- Institute of Neuroscience, Technical University of Munich, Munich, Germany.
- Munich Cluster of Systems Neurology (SyNergy), Munich, Germany.
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Markov DA, Petrucco L, Kist AM, Portugues R. A cerebellar internal model calibrates a feedback controller involved in sensorimotor control. Nat Commun 2021; 12:6694. [PMID: 34795244 PMCID: PMC8602262 DOI: 10.1038/s41467-021-26988-0] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Accepted: 10/28/2021] [Indexed: 11/18/2022] Open
Abstract
Animals must adapt their behavior to survive in a changing environment. Behavioral adaptations can be evoked by two mechanisms: feedback control and internal-model-based control. Feedback controllers can maintain the sensory state of the animal at a desired level under different environmental conditions. In contrast, internal models learn the relationship between the motor output and its sensory consequences and can be used to recalibrate behaviors. Here, we present multiple unpredictable perturbations in visual feedback to larval zebrafish performing the optomotor response and show that they react to these perturbations through a feedback control mechanism. In contrast, if a perturbation is long-lasting, fish adapt their behavior by updating a cerebellum-dependent internal model. We use modelling and functional imaging to show that the neuronal requirements for these mechanisms are met in the larval zebrafish brain. Our results illustrate the role of the cerebellum in encoding internal models and how these can calibrate neuronal circuits involved in reactive behaviors depending on the interactions between animal and environment.
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Affiliation(s)
- Daniil A Markov
- Sensorimotor Control Research Group, Max Planck Institute of Neurobiology, 82152, Martinsried, Germany
| | - Luigi Petrucco
- Sensorimotor Control Research Group, Max Planck Institute of Neurobiology, 82152, Martinsried, Germany
- Institute of Neuroscience, Technical University of Munich, 80802, Munich, Germany
| | - Andreas M Kist
- Sensorimotor Control Research Group, Max Planck Institute of Neurobiology, 82152, Martinsried, Germany
- Division of Phoniatrics and Pediatric Audiology, Department of Otorhinolaryngology, Head and Neck Surgery, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nürnberg, 91054, Erlangen, Germany
| | - Ruben Portugues
- Sensorimotor Control Research Group, Max Planck Institute of Neurobiology, 82152, Martinsried, Germany.
- Institute of Neuroscience, Technical University of Munich, 80802, Munich, Germany.
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.
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Claudi F, Tyson AL, Petrucco L, Margrie TW, Portugues R, Branco T. Visualizing anatomically registered data with brainrender. eLife 2021; 10:e65751. [PMID: 33739286 PMCID: PMC8079143 DOI: 10.7554/elife.65751] [Citation(s) in RCA: 53] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Accepted: 03/17/2021] [Indexed: 11/13/2022] Open
Abstract
Three-dimensional (3D) digital brain atlases and high-throughput brain-wide imaging techniques generate large multidimensional datasets that can be registered to a common reference frame. Generating insights from such datasets depends critically on visualization and interactive data exploration, but this a challenging task. Currently available software is dedicated to single atlases, model species or data types, and generating 3D renderings that merge anatomically registered data from diverse sources requires extensive development and programming skills. Here, we present brainrender: an open-source Python package for interactive visualization of multidimensional datasets registered to brain atlases. Brainrender facilitates the creation of complex renderings with different data types in the same visualization and enables seamless use of different atlas sources. High-quality visualizations can be used interactively and exported as high-resolution figures and animated videos. By facilitating the visualization of anatomically registered data, brainrender should accelerate the analysis, interpretation, and dissemination of brain-wide multidimensional data.
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Affiliation(s)
| | - Adam L Tyson
- UCL Sainsbury Wellcome CentreLondonUnited Kingdom
| | - Luigi Petrucco
- Institute of Neuroscience, Technical University of MunichMunichGermany
- Max Planck Institute of Neurobiology, Research Group of Sensorimotor ControlMartinsriedGermany
| | | | - Ruben Portugues
- Institute of Neuroscience, Technical University of MunichMunichGermany
- Max Planck Institute of Neurobiology, Research Group of Sensorimotor ControlMartinsriedGermany
- Munich Cluster for Systems Neurology (SyNergy)MunichGermany
| | - Tiago Branco
- UCL Sainsbury Wellcome CentreLondonUnited Kingdom
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Abstract
Impairments of the dialog between excitation and inhibition (E/I) is commonly associated to neuropsychiatric disorders like autism, bipolar disorders and epilepsy. Moderate levels of hyperexcitability can lead to mild alterations of the EEG and are often associated with cognitive deficits even in the absence of overt seizures. Indeed, various testing paradigms have shown degraded performances in presence of acute or chronic non-ictal epileptiform activity. Evidences from both animal models and the clinics suggest that anomalous activity can cause cognitive deficits by transiently disrupting cortical processing, independently from the underlying etiology of the disease. Here, we will review our understanding of the influence of an abnormal EEG activity on brain computation in the context of the available clinical data and in genetic or pharmacological animal models.
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Affiliation(s)
- Silvia Landi
- NEST, Istituto Nanoscienze-CNR and Scuola Normale Superiore, Pisa, Italy
| | - Luigi Petrucco
- Graduate School of Systemic Neurosciences, Ludwig Maximilian University of Munich (LMU), Munich, Germany
| | - Federico Sicca
- Department of Developmental Neuroscience, Fondazione IRCCS Stella Maris, Pisa, Italy
| | - Gian Michele Ratto
- NEST, Istituto Nanoscienze-CNR and Scuola Normale Superiore, Pisa, Italy
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Petrucco L, Pracucci E, Brondi M, Ratto GM, Landi S. Erratum: Corrigendum: Epileptiform activity in the mouse visual cortex interferes with cortical processing in connected areas. Sci Rep 2017; 7:43808. [PMID: 28290456 PMCID: PMC5349538 DOI: 10.1038/srep43808] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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Petrucco L, Pracucci E, Brondi M, Ratto GM, Landi S. Epileptiform activity in the mouse visual cortex interferes with cortical processing in connected areas. Sci Rep 2017; 7:40054. [PMID: 28071688 PMCID: PMC5223162 DOI: 10.1038/srep40054] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2016] [Accepted: 11/08/2016] [Indexed: 01/19/2023] Open
Abstract
Epileptiform activity is associated with impairment of brain function even in absence of seizures, as demonstrated by failures in various testing paradigm in presence of hypersynchronous interictal spikes (ISs). Clinical evidence suggests that cognitive deficits might be directly caused by the anomalous activity rather than by its underlying etiology. Indeed, we seek to understand whether ISs interfere with neuronal processing in connected areas not directly participating in the hypersynchronous activity in an acute model of epilepsy. Here we cause focal ISs in the visual cortex of anesthetized mice and we determine that, even if ISs do not invade the opposite hemisphere, the local field potential is subtly disrupted with a modulation of firing probability imposed by the contralateral IS activity. Finally, we find that visual processing is altered depending on the temporal relationship between ISs and stimulus presentation. We conclude that focal ISs interact with normal cortical dynamics far from the epileptic focus, disrupting endogenous oscillatory rhythms and affecting information processing.
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Affiliation(s)
- L Petrucco
- NEST, Istituto Nanoscienze CNR and Scuola Normale Superiore Pisa, Pisa, Italy
| | - E Pracucci
- NEST, Istituto Nanoscienze CNR and Scuola Normale Superiore Pisa, Pisa, Italy
| | - M Brondi
- NEST, Istituto Nanoscienze CNR and Scuola Normale Superiore Pisa, Pisa, Italy
| | - G M Ratto
- NEST, Istituto Nanoscienze CNR and Scuola Normale Superiore Pisa, Pisa, Italy
| | - S Landi
- NEST, Istituto Nanoscienze CNR and Scuola Normale Superiore Pisa, Pisa, Italy
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