1
|
Harmon TC, Madlon-Kay S, Pearson J, Mooney R. Vocalization modulates the mouse auditory cortex even in the absence of hearing. Cell Rep 2024; 43:114611. [PMID: 39116205 DOI: 10.1016/j.celrep.2024.114611] [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: 04/26/2024] [Revised: 07/10/2024] [Accepted: 07/24/2024] [Indexed: 08/10/2024] Open
Abstract
Vocal communication depends on distinguishing self-generated vocalizations from other sounds. Vocal motor corollary discharge (CD) signals are thought to support this ability by adaptively suppressing auditory cortical responses to auditory feedback. One challenge is that vocalizations, especially those produced during courtship and other social interactions, are accompanied by other movements and are emitted during a state of heightened arousal, factors that could potentially modulate auditory cortical activity. Here, we monitor auditory cortical activity, ultrasonic vocalizations (USVs), and other non-vocal courtship behaviors in a head-fixed male mouse while he interacts with a female mouse. This approach reveals a vocalization-specific signature in the auditory cortex that suppresses the activity of USV playback-excited neurons, emerges before vocal onset, and scales with USV band power. Notably, this vocal modulatory signature is also present in the auditory cortex of congenitally deaf mice, revealing an adaptive vocal CD signal that manifests independently of auditory feedback or auditory experience.
Collapse
Affiliation(s)
- Thomas C Harmon
- Department of Neurobiology, Duke University, Durham, NC 27710, USA.
| | - Seth Madlon-Kay
- Department of Neurobiology, Duke University, Durham, NC 27710, USA; Center for Cognitive Neuroscience, Duke University, Durham, NC 27708, USA
| | - John Pearson
- Department of Neurobiology, Duke University, Durham, NC 27710, USA; Center for Cognitive Neuroscience, Duke University, Durham, NC 27708, USA; Department of Biostatistics & Bioinformatics, Duke University, Durham, NC 27710, USA
| | - Richard Mooney
- Department of Neurobiology, Duke University, Durham, NC 27710, USA
| |
Collapse
|
2
|
Beño-Ruiz-de-la-Sierra RM, Arjona-Valladares A, Hernández-García M, Fernández-Linsenbarth I, Díez Á, Fondevila Estevez S, Castaño C, Muñoz F, Sanz-Fuentenebro J, Roig-Herrero A, Molina V. Corollary Discharge Dysfunction as a Possible Substrate of Anomalous Self-experiences in Schizophrenia. Schizophr Bull 2024; 50:1137-1146. [PMID: 37951230 PMCID: PMC11349017 DOI: 10.1093/schbul/sbad157] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2023]
Abstract
BACKGROUND AND HYPOTHESIS Corollary discharge mechanism suppresses the conscious auditory sensory perception of self-generated speech and attenuates electrophysiological markers such as the auditory N1 Event-Related Potential (ERP) during Electroencephalographic (EEG) recordings. This phenomenon contributes to self-identification and seems to be altered in people with schizophrenia. Therefore, its alteration could be related to the anomalous self-experiences (ASEs) frequently found in these patients. STUDY DESIGN To analyze corollary discharge dysfunction as a possible substrate of ASEs, we recorded EEG ERP from 43 participants with schizophrenia and 43 healthy controls and scored ASEs with the 'Inventory of Psychotic-Like Anomalous Self-Experiences' (IPASE). Positive and negative symptoms were also scored with the 'Positive and Negative Syndrome Scale for Schizophrenia' (PANSS) and with the 'Brief Negative Symptom Scale' (BNSS) respectively. The N1 components were elicited by two task conditions: (1) concurrent listening to self-pronounced vowels (talk condition) and (2) subsequent non-concurrent listening to the same previously self-uttered vowels (listen condition). STUDY RESULTS The amplitude of the N1 component elicited by the talk condition was lower compared to the listen condition in people with schizophrenia and healthy controls. However, the difference in N1 amplitude between both conditions was significantly higher in controls than in schizophrenia patients. The values of these differences in patients correlated significantly and negatively with the IPASE, PANSS, and BNSS scores. CONCLUSIONS These results corroborate previous data relating auditory N1 ERP amplitude with altered corollary discharge mechanisms in schizophrenia and support corollary discharge dysfunction as a possible underpinning of ASEs in this illness.
Collapse
Affiliation(s)
| | | | | | | | - Álvaro Díez
- Psychiatry Department, School of Medicine, University of Valladolid, Valladolid, Spain
| | | | | | - Francisco Muñoz
- UCM-ISCIII Center for Human Evolution and Behaviour, Madrid, Spain
- Psychobiology and Behavioural Sciences Methods Department, Complutense University of Madrid, Madrid, Spain
| | | | - Alejandro Roig-Herrero
- Psychiatry Department, School of Medicine, University of Valladolid, Valladolid, Spain
- Imaging Processing Laboratory, University of Valladolid, Valladolid, Spain
| | - Vicente Molina
- Psychiatry Department, School of Medicine, University of Valladolid, Valladolid, Spain
- Psychiatry Service, University Clinical Hospital of Valladolid, Valladolid, Spain
| |
Collapse
|
3
|
Wang B, Audette NJ, Schneider DM, Aljadeff J. Desegregation of neuronal predictive processing. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.08.05.606684. [PMID: 39149380 PMCID: PMC11326200 DOI: 10.1101/2024.08.05.606684] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 08/17/2024]
Abstract
Neural circuits construct internal 'world-models' to guide behavior. The predictive processing framework posits that neural activity signaling sensory predictions and concurrently computing prediction-errors is a signature of those internal models. Here, to understand how the brain generates predictions for complex sensorimotor signals, we investigate the emergence of high-dimensional, multi-modal predictive representations in recurrent networks. We find that robust predictive processing arises in a network with loose excitatory/inhibitory balance. Contrary to previous proposals of functionally specialized cell-types, the network exhibits desegregation of stimulus and prediction-error representations. We confirmed these model predictions by experimentally probing predictive-coding circuits using a rich stimulus-set to violate learned expectations. When constrained by data, our model further reveals and makes concrete testable experimental predictions for the distinct functional roles of excitatory and inhibitory neurons, and of neurons in different layers along a laminar hierarchy, in computing multi-modal predictions. These results together imply that in natural conditions, neural representations of internal models are highly distributed, yet structured to allow flexible readout of behaviorally-relevant information. The generality of our model advances the understanding of computation of internal models across species, by incorporating different types of predictive computations into a unified framework.
Collapse
Affiliation(s)
- Bin Wang
- Department of Physics, University of California San Diego, La Jolla, CA, 92093, USA
| | | | - David M Schneider
- Center for Neural Science, New York University, New York, NY 10003, USA
| | - Johnatan Aljadeff
- Department of Neurobiology, University of California San Diego, La Jolla, CA, 92093, USA
| |
Collapse
|
4
|
Beño-Ruiz-de-la-Sierra RM, Arjona-Valladares A, Hernández-García M, Fernández-Linsenbarth I, Díez Á, Roig-Herrero A, Osorio-Iriarte E, Molina V. Corollary discharge and anomalous self-experiences in schizophrenia and bipolar disorder: A specificity analysis. Clin Neurophysiol 2024; 166:87-95. [PMID: 39137502 DOI: 10.1016/j.clinph.2024.07.014] [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: 05/28/2024] [Revised: 07/24/2024] [Accepted: 07/26/2024] [Indexed: 08/15/2024]
Abstract
OBJECTIVE The Corollary Discharge (CD) mechanism inhibits self-generated speech sound perception, appearing disrupted in schizophrenia and potentially contributing to Anomalous Self-Experiences (ASEs). However, it remains unclear if this alteration and its correlation with ASEs extend to other psychotic disorders. METHODS Electroencephalography was used to study the N1 Event-Related Potential (ERP) as an index of CD-mediated suppression in the auditory cortex across thirty-five participants with schizophrenia, twenty-six with bipolar disorder, and thirty healthy controls. Auditory N1 was elicited by two conditions: real-time listening to self-pronounced vowels while speaking through connected microphone and earphones (listen/talk -or talk condition in previous literature-) and passive listening to the same previously recorded self-uttered vowels (listen/no talk -or listen condition-). RESULTS N1 ERP amplitude was lower in the listen/talk condition compared to listen/no talk across all groups. However, N1 suppression was significantly reduced in schizophrenia, with bipolar patients showing intermediate attenuation between both groups (i.e., non-significantly different from controls). Furthermore, N1 suppression inversely correlated with ASEs severity only in schizophrenia. CONCLUSIONS Dysfunction of the CD mechanism may be a defining feature of schizophrenia, where it is connected to ASEs. SIGNIFICANCE These results corroborate previous findings linking auditory N1 ERP suppression with disrupted CD mechanism in schizophrenia, but not in bipolar disorder.
Collapse
Affiliation(s)
| | | | | | | | - Álvaro Díez
- Psychiatry Department, School of Medicine, University of Valladolid, Spain
| | - Alejandro Roig-Herrero
- Psychiatry Department, School of Medicine, University of Valladolid, Spain; Imaging Processing Laboratory, University of Valladolid, Spain
| | | | - Vicente Molina
- Psychiatry Department, School of Medicine, University of Valladolid, Spain; Psychiatry Service, University Clinical Hospital of Valladolid, Spain.
| |
Collapse
|
5
|
Quass GL, Rogalla MM, Ford AN, Apostolides PF. Mixed Representations of Sound and Action in the Auditory Midbrain. J Neurosci 2024; 44:e1831232024. [PMID: 38918064 PMCID: PMC11270520 DOI: 10.1523/jneurosci.1831-23.2024] [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: 09/26/2023] [Revised: 06/05/2024] [Accepted: 06/14/2024] [Indexed: 06/27/2024] Open
Abstract
Linking sensory input and its consequences is a fundamental brain operation. During behavior, the neural activity of neocortical and limbic systems often reflects dynamic combinations of sensory and task-dependent variables, and these "mixed representations" are suggested to be important for perception, learning, and plasticity. However, the extent to which such integrative computations might occur outside of the forebrain is less clear. Here, we conduct cellular-resolution two-photon Ca2+ imaging in the superficial "shell" layers of the inferior colliculus (IC), as head-fixed mice of either sex perform a reward-based psychometric auditory task. We find that the activity of individual shell IC neurons jointly reflects auditory cues, mice's actions, and behavioral trial outcomes, such that trajectories of neural population activity diverge depending on mice's behavioral choice. Consequently, simple classifier models trained on shell IC neuron activity can predict trial-by-trial outcomes, even when training data are restricted to neural activity occurring prior to mice's instrumental actions. Thus, in behaving mice, auditory midbrain neurons transmit a population code that reflects a joint representation of sound, actions, and task-dependent variables.
Collapse
Affiliation(s)
- Gunnar L Quass
- Department of Otolaryngology-Head & Neck Surgery, Kresge Hearing Research Institute, University of Michigan Medical School, Ann Arbor, Michigan 48109
| | - Meike M Rogalla
- Department of Otolaryngology-Head & Neck Surgery, Kresge Hearing Research Institute, University of Michigan Medical School, Ann Arbor, Michigan 48109
| | - Alexander N Ford
- Department of Otolaryngology-Head & Neck Surgery, Kresge Hearing Research Institute, University of Michigan Medical School, Ann Arbor, Michigan 48109
| | - Pierre F Apostolides
- Department of Otolaryngology-Head & Neck Surgery, Kresge Hearing Research Institute, University of Michigan Medical School, Ann Arbor, Michigan 48109
- Department of Molecular and Integrative Physiology, University of Michigan Medical School, Ann Arbor, Michigan 48109
| |
Collapse
|
6
|
Toth J, Sidleck B, Lombardi O, Hou T, Eldo A, Kerlin M, Zeng X, Saeed D, Agarwal P, Leonard D, Andrino L, Inbar T, Malina M, Insanally MN. Dynamic gating of perceptual flexibility by non-classically responsive cortical neurons. RESEARCH SQUARE 2024:rs.3.rs-4650869. [PMID: 39108496 PMCID: PMC11302693 DOI: 10.21203/rs.3.rs-4650869/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 08/13/2024]
Abstract
The ability to flexibly respond to sensory cues in dynamic environments is essential to adaptive auditory-guided behaviors. Cortical spiking responses during behavior are highly diverse, ranging from reliable trial-averaged responses to seemingly random firing patterns. While the reliable responses of 'classically responsive' cells have been extensively studied for decades, the contribution of irregular spiking 'non-classically responsive' cells to behavior has remained underexplored despite their prevalence. Here, we show that flexible auditory behavior results from interactions between local auditory cortical circuits comprised of heterogeneous responses and inputs from secondary motor cortex. Strikingly, non-classically responsive neurons in auditory cortex were preferentially recruited during learning, specifically during rapid learning phases when the greatest gains in behavioral performance occur. Population-level decoding revealed that during rapid learning mixed ensembles comprised of both classically and non-classically responsive cells encode significantly more task information than homogenous ensembles of either type and emerge as a functional unit critical for learning. Optogenetically silencing inputs from secondary motor cortex selectively modulated non-classically responsive cells in the auditory cortex and impaired reversal learning by preventing the remapping of a previously learned stimulus-reward association. Top-down inputs orchestrated highly correlated non-classically responsive ensembles in sensory cortex providing a unique task-relevant manifold for learning. Thus, non-classically responsive cells in sensory cortex are preferentially recruited by top-down inputs to enable neural and behavioral flexibility.
Collapse
Affiliation(s)
- Jade Toth
- Department of Otolaryngology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213
- Pittsburgh Hearing Research Center, University of Pittsburgh, Pittsburgh, PA 15213
| | - Blake Sidleck
- Department of Otolaryngology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213
- Pittsburgh Hearing Research Center, University of Pittsburgh, Pittsburgh, PA 15213
| | - Olivia Lombardi
- Department of Otolaryngology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213
- Pittsburgh Hearing Research Center, University of Pittsburgh, Pittsburgh, PA 15213
| | - Tiange Hou
- Department of Otolaryngology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213
- Pittsburgh Hearing Research Center, University of Pittsburgh, Pittsburgh, PA 15213
| | - Abraham Eldo
- Department of Otolaryngology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213
- Pittsburgh Hearing Research Center, University of Pittsburgh, Pittsburgh, PA 15213
| | - Madelyn Kerlin
- Department of Otolaryngology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213
- Pittsburgh Hearing Research Center, University of Pittsburgh, Pittsburgh, PA 15213
| | - Xiangjian Zeng
- Department of Otolaryngology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213
- Pittsburgh Hearing Research Center, University of Pittsburgh, Pittsburgh, PA 15213
| | - Danyall Saeed
- Department of Otolaryngology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213
- Pittsburgh Hearing Research Center, University of Pittsburgh, Pittsburgh, PA 15213
| | - Priya Agarwal
- Department of Otolaryngology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213
- Pittsburgh Hearing Research Center, University of Pittsburgh, Pittsburgh, PA 15213
| | - Dylan Leonard
- Department of Otolaryngology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213
- Pittsburgh Hearing Research Center, University of Pittsburgh, Pittsburgh, PA 15213
| | - Luz Andrino
- Department of Otolaryngology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213
- Center for the Neural Basis of Cognition, Carnegie Mellon University, Pittsburgh, PA 15213
| | - Tal Inbar
- Department of Otolaryngology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213
- Pittsburgh Hearing Research Center, University of Pittsburgh, Pittsburgh, PA 15213
- Center for the Neural Basis of Cognition, Carnegie Mellon University, Pittsburgh, PA 15213
| | - Michael Malina
- Department of Otolaryngology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213
- Center for the Neural Basis of Cognition, Carnegie Mellon University, Pittsburgh, PA 15213
| | - Michele N. Insanally
- Department of Otolaryngology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213
- Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15213
- Pittsburgh Hearing Research Center, University of Pittsburgh, Pittsburgh, PA 15213
- Center for the Neural Basis of Cognition, Carnegie Mellon University, Pittsburgh, PA 15213
| |
Collapse
|
7
|
Holey BE, Schneider DM. Sensation and expectation are embedded in mouse motor cortical activity. Cell Rep 2024; 43:114396. [PMID: 38923464 PMCID: PMC11304474 DOI: 10.1016/j.celrep.2024.114396] [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: 09/13/2023] [Revised: 05/15/2024] [Accepted: 06/07/2024] [Indexed: 06/28/2024] Open
Abstract
During behavior, the motor cortex sends copies of motor-related signals to sensory cortices. Here, we combine closed-loop behavior with large-scale physiology, projection-pattern-specific recordings, and circuit perturbations to show that neurons in mouse secondary motor cortex (M2) encode sensation and are influenced by expectation. When a movement unexpectedly produces a sound, M2 becomes dominated by sound-evoked activity. Sound responses in M2 are inherited partially from the auditory cortex and are routed back to the auditory cortex, providing a path for the reciprocal exchange of sensory-motor information during behavior. When the acoustic consequences of a movement become predictable, M2 responses to self-generated sounds are selectively gated off. These changes in single-cell responses are reflected in population dynamics, which are influenced by both sensation and expectation. Together, these findings reveal the embedding of sensory and expectation signals in motor cortical activity.
Collapse
Affiliation(s)
- Brooke E Holey
- Center for Neural Science, New York University, New York, NY 10003, USA; Neuroscience Institute, NYU Medical Center, New York, NY 10016, USA
| | - David M Schneider
- Center for Neural Science, New York University, New York, NY 10003, USA.
| |
Collapse
|
8
|
Mahon S. Variation and convergence in the morpho-functional properties of the mammalian neocortex. Front Syst Neurosci 2024; 18:1413780. [PMID: 38966330 PMCID: PMC11222651 DOI: 10.3389/fnsys.2024.1413780] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2024] [Accepted: 06/03/2024] [Indexed: 07/06/2024] Open
Abstract
Man's natural inclination to classify and hierarchize the living world has prompted neurophysiologists to explore possible differences in brain organisation between mammals, with the aim of understanding the diversity of their behavioural repertoires. But what really distinguishes the human brain from that of a platypus, an opossum or a rodent? In this review, we compare the structural and electrical properties of neocortical neurons in the main mammalian radiations and examine their impact on the functioning of the networks they form. We discuss variations in overall brain size, number of neurons, length of their dendritic trees and density of spines, acknowledging their increase in humans as in most large-brained species. Our comparative analysis also highlights a remarkable consistency, particularly pronounced in marsupial and placental mammals, in the cell typology, intrinsic and synaptic electrical properties of pyramidal neuron subtypes, and in their organisation into functional circuits. These shared cellular and network characteristics contribute to the emergence of strikingly similar large-scale physiological and pathological brain dynamics across a wide range of species. These findings support the existence of a core set of neural principles and processes conserved throughout mammalian evolution, from which a number of species-specific adaptations appear, likely allowing distinct functional needs to be met in a variety of environmental contexts.
Collapse
Affiliation(s)
- Séverine Mahon
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, APHP, Hôpital de la Pitié Salpêtrière, Paris, France
| |
Collapse
|
9
|
Drieu C, Zhu Z, Wang Z, Fuller K, Wang A, Elnozahy S, Kuchibhotla K. Rapid emergence of latent knowledge in the sensory cortex drives learning. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.10.597946. [PMID: 38915657 PMCID: PMC11195094 DOI: 10.1101/2024.06.10.597946] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/26/2024]
Abstract
Rapid learning confers significant advantages to animals in ecological environments. Despite the need for speed, animals appear to only slowly learn to associate rewarded actions with predictive cues1-4. This slow learning is thought to be supported by a gradual expansion of predictive cue representation in the sensory cortex2,5. However, evidence is growing that animals learn more rapidly than classical performance measures suggest6-8, challenging the prevailing model of sensory cortical plasticity. Here, we investigated the relationship between learning and sensory cortical representations. We trained mice on an auditory go/no-go task that dissociated the rapid acquisition of task contingencies (learning) from its slower expression (performance)7. Optogenetic silencing demonstrated that the auditory cortex (AC) drives both rapid learning and slower performance gains but becomes dispensable at expert. Rather than enhancement or expansion of cue representations9, two-photon calcium imaging of AC excitatory neurons throughout learning revealed two higher-order signals that were causal to learning and performance. First, a reward prediction (RP) signal emerged rapidly within tens of trials, was present after action-related errors only early in training, and faded at expert levels. Strikingly, silencing at the time of the RP signal impaired rapid learning, suggesting it serves an associative and teaching role. Second, a distinct cell ensemble encoded and controlled licking suppression that drove the slower performance improvements. These two ensembles were spatially clustered but uncoupled from underlying sensory representations, indicating a higher-order functional segregation within AC. Our results reveal that the sensory cortex manifests higher-order computations that separably drive rapid learning and slower performance improvements, reshaping our understanding of the fundamental role of the sensory cortex.
Collapse
Affiliation(s)
- Céline Drieu
- Department of Psychological and Brain Sciences, Krieger School of Arts and Sciences, Johns Hopkins University, Baltimore, MD, USA
- Johns Hopkins Kavli Neuroscience Discovery Institute, Baltimore, MD, USA
| | - Ziyi Zhu
- Department of Neuroscience, School of Medicine, Johns Hopkins University, MD, USA
| | - Ziyun Wang
- Department of Psychological and Brain Sciences, Krieger School of Arts and Sciences, Johns Hopkins University, Baltimore, MD, USA
| | - Kylie Fuller
- Department of Psychological and Brain Sciences, Krieger School of Arts and Sciences, Johns Hopkins University, Baltimore, MD, USA
| | - Aaron Wang
- Department of Psychological and Brain Sciences, Krieger School of Arts and Sciences, Johns Hopkins University, Baltimore, MD, USA
| | - Sarah Elnozahy
- Department of Psychological and Brain Sciences, Krieger School of Arts and Sciences, Johns Hopkins University, Baltimore, MD, USA
- Present address: Sainsbury Wellcome Centre, London, UK
| | - Kishore Kuchibhotla
- Department of Psychological and Brain Sciences, Krieger School of Arts and Sciences, Johns Hopkins University, Baltimore, MD, USA
- Johns Hopkins Kavli Neuroscience Discovery Institute, Baltimore, MD, USA
- Department of Neuroscience, School of Medicine, Johns Hopkins University, MD, USA
| |
Collapse
|
10
|
Beach SD, Tang DL, Kiran S, Niziolek CA. Pars Opercularis Underlies Efferent Predictions and Successful Auditory Feedback Processing in Speech: Evidence From Left-Hemisphere Stroke. NEUROBIOLOGY OF LANGUAGE (CAMBRIDGE, MASS.) 2024; 5:454-483. [PMID: 38911464 PMCID: PMC11192514 DOI: 10.1162/nol_a_00139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Accepted: 02/07/2024] [Indexed: 06/25/2024]
Abstract
Hearing one's own speech allows for acoustic self-monitoring in real time. Left-hemisphere motor planning regions are thought to give rise to efferent predictions that can be compared to true feedback in sensory cortices, resulting in neural suppression commensurate with the degree of overlap between predicted and actual sensations. Sensory prediction errors thus serve as a possible mechanism of detection of deviant speech sounds, which can then feed back into corrective action, allowing for online control of speech acoustics. The goal of this study was to assess the integrity of this detection-correction circuit in persons with aphasia (PWA) whose left-hemisphere lesions may limit their ability to control variability in speech output. We recorded magnetoencephalography (MEG) while 15 PWA and age-matched controls spoke monosyllabic words and listened to playback of their utterances. From this, we measured speaking-induced suppression of the M100 neural response and related it to lesion profiles and speech behavior. Both speaking-induced suppression and cortical sensitivity to deviance were preserved at the group level in PWA. PWA with more spared tissue in pars opercularis had greater left-hemisphere neural suppression and greater behavioral correction of acoustically deviant pronunciations, whereas sparing of superior temporal gyrus was not related to neural suppression or acoustic behavior. In turn, PWA who made greater corrections had fewer overt speech errors in the MEG task. Thus, the motor planning regions that generate the efferent prediction are integral to performing corrections when that prediction is violated.
Collapse
Affiliation(s)
| | - Ding-lan Tang
- Waisman Center, The University of Wisconsin–Madison
- Academic Unit of Human Communication, Development, and Information Sciences, University of Hong Kong, Hong Kong, SAR China
| | - Swathi Kiran
- Department of Speech, Language & Hearing Sciences, Boston University
| | - Caroline A. Niziolek
- Waisman Center, The University of Wisconsin–Madison
- Department of Communication Sciences and Disorders, The University of Wisconsin–Madison
| |
Collapse
|
11
|
Wang M, Jendrichovsky P, Kanold PO. Auditory discrimination learning differentially modulates neural representation in auditory cortex subregions and inter-areal connectivity. Cell Rep 2024; 43:114172. [PMID: 38703366 DOI: 10.1016/j.celrep.2024.114172] [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: 08/30/2023] [Revised: 02/06/2024] [Accepted: 04/16/2024] [Indexed: 05/06/2024] Open
Abstract
Changes in sound-evoked responses in the auditory cortex (ACtx) occur during learning, but how learning alters neural responses in different ACtx subregions and changes their interactions is unclear. To address these questions, we developed an automated training and widefield imaging system to longitudinally track the neural activity of all mouse ACtx subregions during a tone discrimination task. We find that responses in primary ACtx are highly informative of learned stimuli and behavioral outcomes throughout training. In contrast, representations of behavioral outcomes in the dorsal posterior auditory field, learned stimuli in the dorsal anterior auditory field, and inter-regional correlations between primary and higher-order areas are enhanced with training. Moreover, ACtx response changes vary between stimuli, and such differences display lag synchronization with the learning rate. These results indicate that learning alters functional connections between ACtx subregions, inducing region-specific modulations by propagating behavioral information from primary to higher-order areas.
Collapse
Affiliation(s)
- Mingxuan Wang
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Peter Jendrichovsky
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Patrick O Kanold
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205, USA; Kavli Neuroscience Discovery Institute, Johns Hopkins University, Baltimore, MD 21205, USA.
| |
Collapse
|
12
|
Steinfeld R, Tacão-Monteiro A, Renart A. Differential representation of sensory information and behavioral choice across layers of the mouse auditory cortex. Curr Biol 2024; 34:2200-2211.e6. [PMID: 38733991 DOI: 10.1016/j.cub.2024.04.040] [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: 12/05/2023] [Revised: 03/22/2024] [Accepted: 04/18/2024] [Indexed: 05/13/2024]
Abstract
The activity of neurons in sensory areas sometimes covaries with upcoming choices in decision-making tasks. However, the prevalence, causal origin, and functional role of choice-related activity remain controversial. Understanding the circuit-logic of decision signals in sensory areas will require understanding their laminar specificity, but simultaneous recordings of neural activity across the cortical layers in forced-choice discrimination tasks have not yet been performed. Here, we describe neural activity from such recordings in the auditory cortex of mice during a frequency discrimination task with delayed report, which, as we show, requires the auditory cortex. Stimulus-related information was widely distributed across layers but disappeared very quickly after stimulus offset. Choice selectivity emerged toward the end of the delay period-suggesting a top-down origin-but only in the deep layers. Early stimulus-selective and late choice-selective deep neural ensembles were correlated, suggesting that the choice-selective signal fed back to the auditory cortex is not just action specific but develops as a consequence of the sensory-motor contingency imposed by the task.
Collapse
Affiliation(s)
- Raphael Steinfeld
- Champalimaud Research, Champalimaud Foundation, Avenida Brasília, 1400-038 Lisbon, Portugal.
| | - André Tacão-Monteiro
- Champalimaud Research, Champalimaud Foundation, Avenida Brasília, 1400-038 Lisbon, Portugal
| | - Alfonso Renart
- Champalimaud Research, Champalimaud Foundation, Avenida Brasília, 1400-038 Lisbon, Portugal.
| |
Collapse
|
13
|
Wadle SL, Ritter TC, Wadle TTX, Hirtz JJ. Topography and Ensemble Activity in the Auditory Cortex of a Mouse Model of Fragile X Syndrome. eNeuro 2024; 11:ENEURO.0396-23.2024. [PMID: 38627066 PMCID: PMC11097631 DOI: 10.1523/eneuro.0396-23.2024] [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: 09/14/2023] [Revised: 03/11/2024] [Accepted: 04/01/2024] [Indexed: 05/18/2024] Open
Abstract
Autism spectrum disorder (ASD) is often associated with social communication impairments and specific sound processing deficits, for example, problems in following speech in noisy environments. To investigate underlying neuronal processing defects located in the auditory cortex (AC), we performed two-photon Ca2+ imaging in FMR1 (fragile X messenger ribonucleoprotein 1) knock-out (KO) mice, a model for fragile X syndrome (FXS), the most common cause of hereditary ASD in humans. For primary AC (A1) and the anterior auditory field (AAF), topographic frequency representation was less ordered compared with control animals. We additionally analyzed ensemble AC activity in response to various sounds and found subfield-specific differences. In A1, ensemble correlations were lower in general, while in secondary AC (A2), correlations were higher in response to complex sounds, but not to pure tones. Furthermore, sound specificity of ensemble activity was decreased in AAF. Repeating these experiments 1 week later revealed no major differences regarding representational drift. Nevertheless, we found subfield- and genotype-specific changes in ensemble correlation values between the two times points, hinting at alterations in network stability in FMR1 KO mice. These detailed insights into AC network activity and topography in FMR1 KO mice add to the understanding of auditory processing defects in FXS.
Collapse
Affiliation(s)
- Simon L Wadle
- Physiology of Neuronal Networks, Department of Biology, RPTU University of Kaiserslautern-Landau, Kaiserslautern D-67663, Germany
| | - Tamara C Ritter
- Physiology of Neuronal Networks, Department of Biology, RPTU University of Kaiserslautern-Landau, Kaiserslautern D-67663, Germany
| | - Tatjana T X Wadle
- Physiology of Neuronal Networks, Department of Biology, RPTU University of Kaiserslautern-Landau, Kaiserslautern D-67663, Germany
| | - Jan J Hirtz
- Physiology of Neuronal Networks, Department of Biology, RPTU University of Kaiserslautern-Landau, Kaiserslautern D-67663, Germany
| |
Collapse
|
14
|
Tsunada J, Wang X, Eliades SJ. Multiple processes of vocal sensory-motor interaction in primate auditory cortex. Nat Commun 2024; 15:3093. [PMID: 38600118 PMCID: PMC11006904 DOI: 10.1038/s41467-024-47510-2] [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: 05/24/2022] [Accepted: 04/02/2024] [Indexed: 04/12/2024] Open
Abstract
Sensory-motor interactions in the auditory system play an important role in vocal self-monitoring and control. These result from top-down corollary discharges, relaying predictions about vocal timing and acoustics. Recent evidence suggests such signals may be two distinct processes, one suppressing neural activity during vocalization and another enhancing sensitivity to sensory feedback, rather than a single mechanism. Single-neuron recordings have been unable to disambiguate due to overlap of motor signals with sensory inputs. Here, we sought to disentangle these processes in marmoset auditory cortex during production of multi-phrased 'twitter' vocalizations. Temporal responses revealed two timescales of vocal suppression: temporally-precise phasic suppression during phrases and sustained tonic suppression. Both components were present within individual neurons, however, phasic suppression presented broadly regardless of frequency tuning (gating), while tonic was selective for vocal frequencies and feedback (prediction). This suggests that auditory cortex is modulated by concurrent corollary discharges during vocalization, with different computational mechanisms.
Collapse
Affiliation(s)
- Joji Tsunada
- Auditory and Communication Systems Laboratory, Department of Otorhinolaryngology: Head and Neck Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Chinese Institute for Brain Research, Beijing, China
| | - Xiaoqin Wang
- Laboratory of Auditory Neurophysiology, Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Steven J Eliades
- Auditory and Communication Systems Laboratory, Department of Otorhinolaryngology: Head and Neck Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
- Department of Head and Neck Surgery & Communication Sciences, Duke University School of Medicine, Durham, NC, USA.
| |
Collapse
|
15
|
Sharif A, Matsumoto J, Choijiljav C, Badarch A, Setogawa T, Nishijo H, Nishimaru H. Characterization of Ultrasonic Vocalization-Modulated Neurons in Rat Motor Cortex Based on Their Activity Modulation and Axonal Projection to the Periaqueductal Gray. eNeuro 2024; 11:ENEURO.0452-23.2024. [PMID: 38490744 PMCID: PMC10988357 DOI: 10.1523/eneuro.0452-23.2024] [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: 10/31/2023] [Revised: 12/13/2023] [Accepted: 01/02/2024] [Indexed: 03/17/2024] Open
Abstract
Vocalization, a means of social communication, is prevalent among many species, including humans. Both rats and mice use ultrasonic vocalizations (USVs) in various social contexts and affective states. The motor cortex is hypothesized to be involved in precisely controlling USVs through connections with critical regions of the brain for vocalization, such as the periaqueductal gray matter (PAG). However, it is unclear how neurons in the motor cortex are modulated during USVs. Moreover, the relationship between USV modulation of neurons and anatomical connections from the motor cortex to PAG is also not clearly understood. In this study, we first characterized the activity patterns of neurons in the primary and secondary motor cortices during emission of USVs in rats using large-scale electrophysiological recordings. We also examined the axonal projection of the motor cortex to PAG using retrograde labeling and identified two clusters of PAG-projecting neurons in the anterior and posterior parts of the motor cortex. The neural activity patterns around the emission of USVs differed between the anterior and posterior regions, which were divided based on the distribution of PAG-projecting neurons in the motor cortex. Furthermore, using optogenetic tagging, we recorded the USV modulation of PAG-projecting neurons in the posterior part of the motor cortex and found that they showed predominantly sustained excitatory responses during USVs. These results contribute to our understanding of the involvement of the motor cortex in the generation of USV at the neuronal and circuit levels.
Collapse
Affiliation(s)
- Aamir Sharif
- Department of System Emotional Science, Faculty of Medicine, University of Toyama, Toyama 930-0194, Japan
| | - Jumpei Matsumoto
- Department of System Emotional Science, Faculty of Medicine, University of Toyama, Toyama 930-0194, Japan
- Research Center for Idling Brain Science, University of Toyama, Toyama 930-0194, Japan
| | - Chinzorig Choijiljav
- Department of System Emotional Science, Faculty of Medicine, University of Toyama, Toyama 930-0194, Japan
| | - Amarbayasgalant Badarch
- Department of System Emotional Science, Faculty of Medicine, University of Toyama, Toyama 930-0194, Japan
| | - Tsuyoshi Setogawa
- Department of System Emotional Science, Faculty of Medicine, University of Toyama, Toyama 930-0194, Japan
- Research Center for Idling Brain Science, University of Toyama, Toyama 930-0194, Japan
| | - Hisao Nishijo
- Department of System Emotional Science, Faculty of Medicine, University of Toyama, Toyama 930-0194, Japan
- Research Center for Idling Brain Science, University of Toyama, Toyama 930-0194, Japan
- Department of Sport and Health Sciences, Faculty of Human Sciences, University of East Asia, Shimonoseki 751-0807, Japan
| | - Hiroshi Nishimaru
- Department of System Emotional Science, Faculty of Medicine, University of Toyama, Toyama 930-0194, Japan
- Research Center for Idling Brain Science, University of Toyama, Toyama 930-0194, Japan
| |
Collapse
|
16
|
Cai R, Ling L, Ghimire M, Brownell KA, Caspary DM. Tinnitus-related increases in single-unit activity in awake rat auditory cortex correlate with tinnitus behavior. Hear Res 2024; 445:108993. [PMID: 38518392 DOI: 10.1016/j.heares.2024.108993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 03/04/2024] [Accepted: 03/10/2024] [Indexed: 03/24/2024]
Abstract
Tinnitus is known to affect 10-15 % of the population, severely impacting 1-2 % of those afflicted. Canonically, tinnitus is generally a consequence of peripheral auditory damage resulting in maladaptive plastic changes in excitatory/inhibitory homeostasis at multiple levels of the central auditory pathway as well as changes in diverse nonauditory structures. Animal studies of primary auditory cortex (A1) generally find tinnitus-related changes in excitability across A1 layers and differences between inhibitory neuronal subtypes. Changes due to sound-exposure include changes in spontaneous activity, cross-columnar synchrony, bursting and tonotopic organization. Few studies in A1 directly correlate tinnitus-related changes in neural activity to an individual animal's behavioral evidence of tinnitus. The present study used an established condition-suppression sound-exposure model of chronic tinnitus and recorded spontaneous and driven single-unit responses from A1 layers 5 and 6 of awake Long-Evans rats. A1 units recorded from animals with behavioral evidence of tinnitus showed significant increases in spontaneous and sound-evoked activity which directly correlated to the animal's tinnitus score. Significant increases in the number of bursting units, the number of bursts/minute and burst duration were seen for A1 units recorded from animals with behavioral evidence of tinnitus. The present A1 findings support prior unit recording studies in auditory thalamus and recent in vitro findings in this same animal model. The present findings are consistent with sensory cortical studies showing tinnitus- and neuropathic pain-related down-regulation of inhibition and increased excitation based on plastic neurotransmitter and potassium channel changes. Reducing A1 deep-layer tinnitus-related hyperactivity is a potential target for tinnitus pharmacotherapy.
Collapse
Affiliation(s)
- Rui Cai
- Department of Pharmacology, Southern Illinois University School of Medicine, PO Box 19629, Springfield, IL 62794-9629, United States
| | - Lynne Ling
- Department of Pharmacology, Southern Illinois University School of Medicine, PO Box 19629, Springfield, IL 62794-9629, United States
| | - Madan Ghimire
- Department of Pharmacology, Southern Illinois University School of Medicine, PO Box 19629, Springfield, IL 62794-9629, United States
| | - Kevin A Brownell
- Department of Pharmacology, Southern Illinois University School of Medicine, PO Box 19629, Springfield, IL 62794-9629, United States
| | - Donald M Caspary
- Department of Pharmacology, Southern Illinois University School of Medicine, PO Box 19629, Springfield, IL 62794-9629, United States.
| |
Collapse
|
17
|
Morandell K, Yin A, Triana Del Rio R, Schneider DM. Movement-Related Modulation in Mouse Auditory Cortex Is Widespread Yet Locally Diverse. J Neurosci 2024; 44:e1227232024. [PMID: 38286628 PMCID: PMC10941236 DOI: 10.1523/jneurosci.1227-23.2024] [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: 06/01/2023] [Revised: 12/12/2023] [Accepted: 01/15/2024] [Indexed: 01/31/2024] Open
Abstract
Neurons in the mouse auditory cortex are strongly influenced by behavior, including both suppression and enhancement of sound-evoked responses during movement. The mouse auditory cortex comprises multiple fields with different roles in sound processing and distinct connectivity to movement-related centers of the brain. Here, we asked whether movement-related modulation in male mice might differ across auditory cortical fields, thereby contributing to the heterogeneity of movement-related modulation at the single-cell level. We used wide-field calcium imaging to identify distinct cortical fields and cellular-resolution two-photon calcium imaging to visualize the activity of layer 2/3 excitatory neurons within each field. We measured each neuron's responses to three sound categories (pure tones, chirps, and amplitude-modulated white noise) as mice rested and ran on a non-motorized treadmill. We found that individual neurons in each cortical field typically respond to just one sound category. Some neurons are only active during rest and others during locomotion, and those that are responsive across conditions retain their sound-category tuning. The effects of locomotion on sound-evoked responses vary at the single-cell level, with both suppression and enhancement of neural responses, and the net modulatory effect of locomotion is largely conserved across cortical fields. Movement-related modulation in auditory cortex also reflects more complex behavioral patterns, including instantaneous running speed and nonlocomotor movements such as grooming and postural adjustments, with similar patterns seen across all auditory cortical fields. Our findings underscore the complexity of movement-related modulation throughout the mouse auditory cortex and indicate that movement-related modulation is a widespread phenomenon.
Collapse
Affiliation(s)
- Karin Morandell
- Center for Neural Science, New York University, New York, New York 10012
| | - Audrey Yin
- Center for Neural Science, New York University, New York, New York 10012
| | | | - David M Schneider
- Center for Neural Science, New York University, New York, New York 10012
| |
Collapse
|
18
|
Zhou W, Schneider DM. Learning within a sensory-motor circuit links action to expected outcome. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.08.579532. [PMID: 38370770 PMCID: PMC10871315 DOI: 10.1101/2024.02.08.579532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/20/2024]
Abstract
The cortex integrates sound- and movement-related signals to predict the acoustic consequences of behavior and detect violations from expectations. Although expectation- and prediction-related activity has been observed in the auditory cortex of humans, monkeys, and mice during vocal and non-vocal acoustic behaviors, the specific cortical circuitry required for forming memories, recalling expectations, and making predictions remains unknown. By combining closed-loop behavior, electrophysiological recordings, longitudinal pharmacology, and targeted optogenetic circuit activation, we identify a cortical locus for the emergence of expectation and error signals. Movement-related expectation signals and sound-related error signals emerge in parallel in the auditory cortex and are concentrated in largely distinct neurons, consistent with a compartmentalization of different prediction-related computations. On a trial-by-trial basis, expectation and error signals are correlated in auditory cortex, consistent with a local circuit implementation of an internal model. Silencing the auditory cortex during motor-sensory learning prevents the emergence of expectation signals and error signals, revealing the auditory cortex as a necessary node for learning to make predictions. Prediction-like signals can be experimentally induced in the auditory cortex, even in the absence of behavioral experience, by pairing optogenetic motor cortical activation with sound playback, indicating that cortical circuits are sufficient for movement-like predictive processing. Finally, motor-sensory experience realigns the manifold dimensions in which auditory cortical populations encode movement and sound, consistent with predictive processing. These findings show that prediction-related signals reshape auditory cortex dynamics during behavior and reveal a cortical locus for the emergence of expectation and error.
Collapse
Affiliation(s)
- WenXi Zhou
- Center for Neural Science, New York University, New York, NY, 10012
| | | |
Collapse
|
19
|
Tsunada J, Eliades SJ. Frontal-Auditory Cortical Interactions and Sensory Prediction During Vocal Production in Marmoset Monkeys. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.28.577656. [PMID: 38352422 PMCID: PMC10862695 DOI: 10.1101/2024.01.28.577656] [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: 02/21/2024]
Abstract
The control of speech and vocal production involves the calculation of error between the intended vocal output and the resulting auditory feedback. Consistent with this model, recent evidence has demonstrated that the auditory cortex is suppressed immediately before and during vocal production, yet is still sensitive to differences between vocal output and altered auditory feedback. This suppression has been suggested to be the result of top-down signals containing information about the intended vocal output, potentially originating from motor or other frontal cortical areas. However, whether such frontal areas are the source of suppressive and predictive signaling to the auditory cortex during vocalization is unknown. Here, we simultaneously recorded neural activity from both the auditory and frontal cortices of marmoset monkeys while they produced self-initiated vocalizations. We found increases in neural activity in both brain areas preceding the onset of vocal production, notably changes in both multi-unit activity and local field potential theta-band power. Connectivity analysis using Granger causality demonstrated that frontal cortex sends directed signaling to the auditory cortex during this pre-vocal period. Importantly, this pre-vocal activity predicted both vocalization-induced suppression of the auditory cortex as well as the acoustics of subsequent vocalizations. These results suggest that frontal cortical areas communicate with the auditory cortex preceding vocal production, with frontal-auditory signals that may reflect the transmission of sensory prediction information. This interaction between frontal and auditory cortices may contribute to mechanisms that calculate errors between intended and actual vocal outputs during vocal communication.
Collapse
Affiliation(s)
- Joji Tsunada
- Chinese Institute for Brain Research, Beijing, China
- Department of Veterinary Medicine, Faculty of Agriculture, Iwate University, Morioka, Iwate, Japan
| | - Steven J. Eliades
- Department of Head and Neck Surgery & Communication Sciences, Duke University School of Medicine, Durham, NC 27710, USA
| |
Collapse
|
20
|
Lankinen K, Ahveninen J, Uluç I, Daneshzand M, Mareyam A, Kirsch JE, Polimeni JR, Healy BC, Tian Q, Khan S, Nummenmaa A, Wang QM, Green JR, Kimberley TJ, Li S. Role of articulatory motor networks in perceptual categorization of speech signals: a 7T fMRI study. Cereb Cortex 2023; 33:11517-11525. [PMID: 37851854 PMCID: PMC10724868 DOI: 10.1093/cercor/bhad384] [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: 07/21/2023] [Revised: 09/28/2023] [Accepted: 09/29/2023] [Indexed: 10/20/2023] Open
Abstract
Speech and language processing involve complex interactions between cortical areas necessary for articulatory movements and auditory perception and a range of areas through which these are connected and interact. Despite their fundamental importance, the precise mechanisms underlying these processes are not fully elucidated. We measured BOLD signals from normal hearing participants using high-field 7 Tesla fMRI with 1-mm isotropic voxel resolution. The subjects performed 2 speech perception tasks (discrimination and classification) and a speech production task during the scan. By employing univariate and multivariate pattern analyses, we identified the neural signatures associated with speech production and perception. The left precentral, premotor, and inferior frontal cortex regions showed significant activations that correlated with phoneme category variability during perceptual discrimination tasks. In addition, the perceived sound categories could be decoded from signals in a region of interest defined based on activation related to production task. The results support the hypothesis that articulatory motor networks in the left hemisphere, typically associated with speech production, may also play a critical role in the perceptual categorization of syllables. The study provides valuable insights into the intricate neural mechanisms that underlie speech processing.
Collapse
Affiliation(s)
- Kaisu Lankinen
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA 02129, United States
- Harvard Medical School, Boston, MA 02115, United States
| | - Jyrki Ahveninen
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA 02129, United States
- Harvard Medical School, Boston, MA 02115, United States
| | - Işıl Uluç
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA 02129, United States
- Harvard Medical School, Boston, MA 02115, United States
| | - Mohammad Daneshzand
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA 02129, United States
- Harvard Medical School, Boston, MA 02115, United States
| | - Azma Mareyam
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA 02129, United States
| | - John E Kirsch
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA 02129, United States
- Harvard Medical School, Boston, MA 02115, United States
| | - Jonathan R Polimeni
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA 02129, United States
- Harvard Medical School, Boston, MA 02115, United States
| | - Brian C Healy
- Partners Multiple Sclerosis Center, Brigham and Women's Hospital, Boston, MA 02115, United States
- Department of Neurology, Harvard Medical School, Boston, MA 02115, United States
- Biostatistics Center, Massachusetts General Hospital, Boston, MA 02114, United States
| | - Qiyuan Tian
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA 02129, United States
- Harvard Medical School, Boston, MA 02115, United States
| | - Sheraz Khan
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA 02129, United States
- Harvard Medical School, Boston, MA 02115, United States
| | - Aapo Nummenmaa
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA 02129, United States
- Harvard Medical School, Boston, MA 02115, United States
| | - Qing Mei Wang
- Stroke Biological Recovery Laboratory, Spaulding Rehabilitation Hospital, The Teaching Affiliate of Harvard Medical School, Charlestown, MA 02129, United States
| | - Jordan R Green
- Department of Communication Sciences and Disorders, MGH Institute of Health Professions, Boston, MA 02129, United States
| | - Teresa J Kimberley
- Department of Physical Therapy, School of Health and Rehabilitation Sciences, MGH Institute of Health Professions, Boston, MA 02129, United States
| | - Shasha Li
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA 02129, United States
- Harvard Medical School, Boston, MA 02115, United States
| |
Collapse
|
21
|
Rummell BP, Bikas S, Babl SS, Gogos JA, Sigurdsson T. Altered corollary discharge signaling in the auditory cortex of a mouse model of schizophrenia predisposition. Nat Commun 2023; 14:7388. [PMID: 37968289 PMCID: PMC10651874 DOI: 10.1038/s41467-023-42964-2] [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: 12/13/2022] [Accepted: 10/27/2023] [Indexed: 11/17/2023] Open
Abstract
The ability to distinguish sensations that are self-generated from those caused by external events is disrupted in schizophrenia patients. However, the neural circuit abnormalities underlying this sensory impairment and its relationship to the risk factors for the disease is not well understood. To address this, we examined the processing of self-generated sounds in male Df(16)A+/- mice, which model one of the largest genetic risk factors for schizophrenia, the 22q11.2 microdeletion. We find that auditory cortical neurons in Df(16)A+/- mice fail to attenuate their responses to self-generated sounds, recapitulating deficits seen in schizophrenia patients. Notably, the auditory cortex of Df(16)A+/- mice displayed weaker motor-related signals and received fewer inputs from the motor cortex, suggesting an anatomical basis underlying the sensory deficit. These results provide insights into the mechanisms by which a major genetic risk factor for schizophrenia disrupts the top-down processing of sensory information.
Collapse
Affiliation(s)
- Brian P Rummell
- Institute of Neurophysiology, Goethe University, Theodor-Stern Kai 7, 60590, Frankfurt, Germany
- Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, 60528, Frankfurt am Main, Germany
| | - Solmaz Bikas
- Institute of Neurophysiology, Goethe University, Theodor-Stern Kai 7, 60590, Frankfurt, Germany
| | - Susanne S Babl
- Institute of Neurophysiology, Goethe University, Theodor-Stern Kai 7, 60590, Frankfurt, Germany
| | - Joseph A Gogos
- Mortimer B. Zuckerman Mind Brain and Behavior Institute, Columbia University, New York, NY, 10027, USA
- Departments of Physiology, Neuroscience and Psychiatry, Vagelos College of Physicians & Surgeons, Columbia University, New York, NY, 10032, USA
| | - Torfi Sigurdsson
- Institute of Neurophysiology, Goethe University, Theodor-Stern Kai 7, 60590, Frankfurt, Germany.
| |
Collapse
|
22
|
Audette NJ, Schneider DM. Stimulus-Specific Prediction Error Neurons in Mouse Auditory Cortex. J Neurosci 2023; 43:7119-7129. [PMID: 37699716 PMCID: PMC10601367 DOI: 10.1523/jneurosci.0512-23.2023] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 08/07/2023] [Accepted: 09/04/2023] [Indexed: 09/14/2023] Open
Abstract
Comparing expectation with experience is an important neural computation performed throughout the brain and is a hallmark of predictive processing. Experiments that alter the sensory outcome of an animal's behavior reveal enhanced neural responses to unexpected self-generated stimuli, indicating that populations of neurons in sensory cortex may reflect prediction errors (PEs), mismatches between expectation and experience. However, enhanced neural responses to self-generated stimuli could also arise through nonpredictive mechanisms, such as the movement-based facilitation of a neuron's inherent sound responses. If sensory prediction error neurons exist in sensory cortex, it is unknown whether they manifest as general error responses, or respond with specificity to errors in distinct stimulus dimensions. To answer these questions, we trained mice of either sex to expect the outcome of a simple sound-generating behavior and recorded auditory cortex activity as mice heard either the expected sound or sounds that deviated from expectation in one of multiple distinct dimensions. Our data reveal that the auditory cortex learns to suppress responses to self-generated sounds along multiple acoustic dimensions simultaneously. We identify a distinct population of auditory cortex neurons that are not responsive to passive sounds or to the expected sound but that encode prediction errors. These prediction error neurons are abundant only in animals with a learned motor-sensory expectation, and encode one or two specific violations rather than a generic error signal. Together, these findings reveal that cortical predictions about self-generated sounds have specificity in multiple simultaneous dimensions and that cortical prediction error neurons encode specific violations from expectation.SIGNIFICANCE STATEMENT Audette et. al record neural activity in the auditory cortex while mice perform a sound-generating forelimb movement and measure neural responses to sounds that violate an animal's expectation in different ways. They find that predictions about self-generated sounds are highly specific across multiple stimulus dimensions and that a population of typically nonsound-responsive neurons respond to sounds that violate an animal's expectation in a specific way. These results identify specific prediction error (PE) signals in the mouse auditory cortex and suggest that errors may be calculated early in sensory processing.
Collapse
Affiliation(s)
- Nicholas J Audette
- Center for Neural Science, New York University, New York, New York 10003
| | - David M Schneider
- Center for Neural Science, New York University, New York, New York 10003
| |
Collapse
|
23
|
Rupert DD, Pagliaro AH, Choe J, Shea SD. Selective Deletion of Methyl CpG Binding Protein 2 from Parvalbumin Interneurons in the Auditory Cortex Delays the Onset of Maternal Retrieval in Mice. J Neurosci 2023; 43:6745-6759. [PMID: 37625856 PMCID: PMC10552946 DOI: 10.1523/jneurosci.0838-23.2023] [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: 05/08/2023] [Revised: 08/05/2023] [Accepted: 08/15/2023] [Indexed: 08/27/2023] Open
Abstract
Mutations in MECP2 cause the neurodevelopmental disorder Rett syndrome. MECP2 codes for methyl CpG binding protein 2 (MECP2), a transcriptional regulator that activates genetic programs for experience-dependent plasticity. Many neural and behavioral symptoms of Rett syndrome may result from dysregulated timing and thresholds for plasticity. As a model of adult plasticity, we examine changes to auditory cortex inhibitory circuits in female mice when they are first exposed to pups; this plasticity facilitates behavioral responses to pups emitting distress calls. Brainwide deletion of Mecp2 alters expression of markers associated with GABAergic parvalbumin interneurons (PVins) and impairs the emergence of pup retrieval. We hypothesized that loss of Mecp2 in PVins disproportionately contributes to the phenotype. Here, we find that deletion of Mecp2 from PVins delayed the onset of maternal retrieval behavior and recapitulated the major molecular and neurophysiological features of brainwide deletion of Mecp2 We observed that when PVin-selective mutants were exposed to pups, auditory cortical expression of PVin markers increased relative to that in wild-type littermates. PVin-specific mutants also failed to show the inhibitory auditory cortex plasticity seen in wild-type mice on exposure to pups and their vocalizations. Finally, using an intersectional viral genetic strategy, we demonstrate that postdevelopmental loss of Mecp2 in PVins of the auditory cortex is sufficient to delay onset of maternal retrieval. Our results support a model in which PVins play a central role in adult cortical plasticity and may be particularly impaired by loss of Mecp2 SIGNIFICANCE STATEMENT Rett syndrome is a neurodevelopmental disorder that includes deficits in both communication and the ability to update brain connections and activity during learning (plasticity). This condition is caused by mutations in the gene MECP2 We use a maternal behavioral test in mice requiring both vocal perception and neural plasticity to probe the role of Mecp2 in social and sensory learning. Mecp2 is normally active in all brain cells, but here we remove it from a specific population (parvalbumin neurons). We find that this is sufficient to delay learned behavioral responses to pups and recreates many deficits seen in whole-brain Mecp2 deletion. Our findings suggest that parvalbumin neurons specifically are central to the consequences of loss of Mecp2 activity and yield clues as to possible mechanisms by which Rett syndrome impairs brain function.
Collapse
Affiliation(s)
- Deborah D Rupert
- Department of Neurobiology and Behavior and Medical Scientist Training Program, School of Medicine, Stony Brook University, Stony Brook, New York 11794-8434
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724
| | - Alexa H Pagliaro
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724
| | - Jane Choe
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724
| | - Stephen D Shea
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724
| |
Collapse
|
24
|
Beño-Ruiz-de-la-Sierra RM, Arjona-Valladares A, Fondevila Estevez S, Fernández-Linsenbarth I, Díez Á, Molina V. Corollary discharge function in healthy controls: Evidence about self-speech and external speech processing. Eur J Neurosci 2023; 58:3705-3713. [PMID: 37635264 DOI: 10.1111/ejn.16125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 08/02/2023] [Accepted: 08/04/2023] [Indexed: 08/29/2023]
Abstract
As we speak, corollary discharge mechanisms suppress the auditory conscious perception of the self-generated voice in healthy subjects. This suppression has been associated with the attenuation of the auditory N1 component. To analyse this corollary discharge phenomenon (agency and ownership), we registered the event-related potentials of 42 healthy subjects. The N1 and P2 components were elicited by spoken vowels (talk condition; agency), by played-back vowels recorded with their own voice (listen-self condition; ownership) and by played-back vowels recorded with an external voice (listen-other condition). The N1 amplitude elicited by the talk condition was smaller compared with the listen-self and listen-other conditions. There were no amplitude differences in N1 between listen-self and listen-other conditions. The P2 component did not show differences between conditions. Additionally, a peak latency analysis of N1 and P2 components between the three conditions showed no differences. These findings corroborate previous results showing that the corollary discharge mechanisms dampen sensory responses to self-generated speech (agency experience) and provide new neurophysiological evidence about the similarities in the processing of played-back vowels with our own voice (ownership experience) and with an external voice.
Collapse
Affiliation(s)
| | | | | | | | - Álvaro Díez
- Department of Psychiatry, School of Medicine, University of Valladolid, Valladolid, Spain
| | - Vicente Molina
- Department of Psychiatry, School of Medicine, University of Valladolid, Valladolid, Spain
- Psychiatry Service, University Clinical Hospital of Valladolid, Valladolid, Spain
| |
Collapse
|
25
|
Holey BE, Schneider DM. Sensation and expectation are embedded in mouse motor cortical activity. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.09.13.557633. [PMID: 37745573 PMCID: PMC10515891 DOI: 10.1101/2023.09.13.557633] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/26/2023]
Abstract
During behavior, the motor cortex sends copies of motor-related signals to sensory cortices. It remains unclear whether these corollary discharge signals strictly encode movement or whether they also encode sensory experience and expectation. Here, we combine closed-loop behavior with large-scale physiology, projection-pattern specific recordings, and circuit perturbations to show that neurons in mouse secondary motor cortex (M2) encode sensation and are influenced by expectation. When a movement unexpectedly produces a sound, M2 becomes dominated by sound-evoked activity. Sound responses in M2 are inherited partially from the auditory cortex and are routed back to the auditory cortex, providing a path for the dynamic exchange of sensory-motor information during behavior. When the acoustic consequences of a movement become predictable, M2 responses to self-generated sounds are selectively gated off. These changes in single-cell responses are reflected in population dynamics, which are influenced by both sensation and expectation. Together, these findings reveal the rich embedding of sensory and expectation signals in motor cortical activity.
Collapse
Affiliation(s)
- Brooke E Holey
- Center for Neural Science, New York University
- Neuroscience Institute, NYU Medical Center
| | | |
Collapse
|
26
|
Mimica B, Tombaz T, Battistin C, Fuglstad JG, Dunn BA, Whitlock JR. Behavioral decomposition reveals rich encoding structure employed across neocortex in rats. Nat Commun 2023; 14:3947. [PMID: 37402724 DOI: 10.1038/s41467-023-39520-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 06/16/2023] [Indexed: 07/06/2023] Open
Abstract
The cortical population code is pervaded by activity patterns evoked by movement, but it remains largely unknown how such signals relate to natural behavior or how they might support processing in sensory cortices where they have been observed. To address this we compared high-density neural recordings across four cortical regions (visual, auditory, somatosensory, motor) in relation to sensory modulation, posture, movement, and ethograms of freely foraging male rats. Momentary actions, such as rearing or turning, were represented ubiquitously and could be decoded from all sampled structures. However, more elementary and continuous features, such as pose and movement, followed region-specific organization, with neurons in visual and auditory cortices preferentially encoding mutually distinct head-orienting features in world-referenced coordinates, and somatosensory and motor cortices principally encoding the trunk and head in egocentric coordinates. The tuning properties of synaptically coupled cells also exhibited connection patterns suggestive of area-specific uses of pose and movement signals, particularly in visual and auditory regions. Together, our results indicate that ongoing behavior is encoded at multiple levels throughout the dorsal cortex, and that low-level features are differentially utilized by different regions to serve locally relevant computations.
Collapse
Affiliation(s)
- Bartul Mimica
- Princeton Neuroscience Institute, Princeton University, Washington Road, Princeton, 100190, NJ, USA.
| | - Tuçe Tombaz
- Kavli Institute for Systems Neuroscience, Norwegian University of Science and Technology, Olav Kyrres Gate 9, 7030, Trondheim, Norway
| | - Claudia Battistin
- Kavli Institute for Systems Neuroscience, Norwegian University of Science and Technology, Olav Kyrres Gate 9, 7030, Trondheim, Norway
- Department of Mathematical Sciences, Norwegian University of Science and Technology, 7491, Trondheim, Norway
| | - Jingyi Guo Fuglstad
- Kavli Institute for Systems Neuroscience, Norwegian University of Science and Technology, Olav Kyrres Gate 9, 7030, Trondheim, Norway
| | - Benjamin A Dunn
- Kavli Institute for Systems Neuroscience, Norwegian University of Science and Technology, Olav Kyrres Gate 9, 7030, Trondheim, Norway
- Department of Mathematical Sciences, Norwegian University of Science and Technology, 7491, Trondheim, Norway
| | - Jonathan R Whitlock
- Kavli Institute for Systems Neuroscience, Norwegian University of Science and Technology, Olav Kyrres Gate 9, 7030, Trondheim, Norway.
| |
Collapse
|
27
|
Lankinen K, Ahveninen J, Uluç I, Daneshzand M, Mareyam A, Kirsch JE, Polimeni JR, Healy BC, Tian Q, Khan S, Nummenmaa A, Wang QM, Green JR, Kimberley TJ, Li S. Role of Articulatory Motor Networks in Perceptual Categorization of Speech Signals: A 7 T fMRI Study. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.07.02.547409. [PMID: 37461673 PMCID: PMC10349975 DOI: 10.1101/2023.07.02.547409] [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: 07/24/2023]
Abstract
BACKGROUND The association between brain regions involved in speech production and those that play a role in speech perception is not yet fully understood. We compared speech production related brain activity with activations resulting from perceptual categorization of syllables using high field 7 Tesla functional magnetic resonance imaging (fMRI) at 1-mm isotropic voxel resolution, enabling high localization accuracy compared to previous studies. METHODS Blood oxygenation level dependent (BOLD) signals were obtained in 20 normal hearing subjects using a simultaneous multi-slice (SMS) 7T echo-planar imaging (EPI) acquisition with whole-head coverage and 1 mm isotropic resolution. In a speech production localizer task, subjects were asked to produce a silent lip-round vowel /u/ in response to the visual cue "U" or purse their lips when they saw the cue "P". In a phoneme discrimination task, subjects were presented with pairs of syllables, which were equiprobably identical or different along an 8-step continuum between the prototypic /ba/ and /da/ sounds. After the presentation of each stimulus pair, the subjects were asked to indicate whether the two syllables they heard were identical or different by pressing one of two buttons. In a phoneme classification task, the subjects heard only one syllable and asked to indicate whether it was /ba/ or /da/. RESULTS Univariate fMRI analyses using a parametric modulation approach suggested that left motor, premotor, and frontal cortex BOLD activations correlate with phoneme category variability in the /ba/-/da/ discrimination task. In contrast, the variability related to acoustic features of the phonemes were the highest in the right primary auditory cortex. Our multivariate pattern analysis (MVPA) suggested that left precentral/inferior frontal cortex areas, which were associated with speech production according to the localizer task, play a role also in perceptual categorization of the syllables. CONCLUSIONS The results support the hypothesis that articulatory motor networks in the left hemisphere that are activated during speech production could also have a role in perceptual categorization of syllables. Importantly, high voxel-resolution combined with advanced coil technology allowed us to pinpoint the exact brain regions involved in both perception and production tasks.
Collapse
Affiliation(s)
- Kaisu Lankinen
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, US
- Harvard Medical School, Boston, MA, US
| | - Jyrki Ahveninen
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, US
- Harvard Medical School, Boston, MA, US
| | - Işıl Uluç
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, US
- Harvard Medical School, Boston, MA, US
| | - Mohammad Daneshzand
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, US
- Harvard Medical School, Boston, MA, US
| | - Azma Mareyam
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, US
| | - John E. Kirsch
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, US
- Harvard Medical School, Boston, MA, US
| | - Jonathan R. Polimeni
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, US
- Harvard Medical School, Boston, MA, US
| | - Brian C. Healy
- Harvard Medical School, Boston, MA, US
- Stroke Biological Recovery Laboratory, Spaulding Rehabilitation Hospital, the teaching affiliate of Harvard Medical School, Charlestown, MA, US
| | - Qiyuan Tian
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, US
- Harvard Medical School, Boston, MA, US
| | - Sheraz Khan
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, US
- Harvard Medical School, Boston, MA, US
| | - Aapo Nummenmaa
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, US
- Harvard Medical School, Boston, MA, US
| | - Qing-mei Wang
- Stroke Biological Recovery Laboratory, Spaulding Rehabilitation Hospital, the teaching affiliate of Harvard Medical School, Charlestown, MA, US
| | - Jordan R. Green
- Department of Communication Sciences and Disorders, MGH Institute of Health Professions Boston, MA, US
| | - Teresa J. Kimberley
- Department of Physical Therapy, School of Health and Rehabilitation Sciences, MGH Institute of Health Professions, Boston, MA, US
| | - Shasha Li
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, US
- Harvard Medical School, Boston, MA, US
| |
Collapse
|
28
|
Morandell K, Yin A, Del Rio RT, Schneider DM. Movement-related modulation in mouse auditory cortex is widespread yet locally diverse. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.07.03.547560. [PMID: 37461568 PMCID: PMC10349927 DOI: 10.1101/2023.07.03.547560] [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: 07/25/2023]
Abstract
Neurons in the mouse auditory cortex are strongly influenced by behavior, including both suppression and enhancement of sound-evoked responses during movement. The mouse auditory cortex comprises multiple fields with different roles in sound processing and distinct connectivity to movement-related centers of the brain. Here, we asked whether movement-related modulation might differ across auditory cortical fields, thereby contributing to the heterogeneity of movement-related modulation at the single-cell level. We used wide-field calcium imaging to identify distinct cortical fields followed by cellular-resolution two-photon calcium imaging to visualize the activity of layer 2/3 excitatory neurons within each field. We measured each neuron's responses to three sound categories (pure tones, chirps, and amplitude modulated white noise) as mice rested and ran on a non-motorized treadmill. We found that individual neurons in each cortical field typically respond to just one sound category. Some neurons are only active during rest and others during locomotion, and those that are responsive across conditions retain their sound-category tuning. The effects of locomotion on sound-evoked responses vary at the single-cell level, with both suppression and enhancement of neural responses, and the net modulatory effect of locomotion is largely conserved across cortical fields. Movement-related modulation in auditory cortex also reflects more complex behavioral patterns, including instantaneous running speed and non-locomotor movements such as grooming and postural adjustments, with similar patterns seen across all auditory cortical fields. Our findings underscore the complexity of movement-related modulation throughout the mouse auditory cortex and indicate that movement-related modulation is a widespread phenomenon.
Collapse
Affiliation(s)
- Karin Morandell
- Center for Neural Science, New York University, New York, NY 10012
| | - Audrey Yin
- Center for Neural Science, New York University, New York, NY 10012
| | | | | |
Collapse
|
29
|
Zinnamon FA, Harrison FG, Wenas SS, Liu Q, Wang KH, Linden JF. Increased Central Auditory Gain and Decreased Parvalbumin-Positive Cortical Interneuron Density in the Df1/+ Mouse Model of Schizophrenia Correlate With Hearing Impairment. BIOLOGICAL PSYCHIATRY GLOBAL OPEN SCIENCE 2023; 3:386-397. [PMID: 37519460 PMCID: PMC10382707 DOI: 10.1016/j.bpsgos.2022.03.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Revised: 03/01/2022] [Accepted: 03/03/2022] [Indexed: 11/21/2022] Open
Abstract
Background Hearing impairment is a risk factor for schizophrenia. Patients with 22q11.2 deletion syndrome have a 25% to 30% risk of schizophrenia, and up to 60% also have varying degrees of hearing impairment, primarily from middle-ear inflammation. The Df1/+ mouse model of 22q11.2 deletion syndrome recapitulates many features of the human syndrome, including schizophrenia-relevant brain abnormalities and high interindividual variation in hearing ability. However, the relationship between brain abnormalities and hearing impairment in Df1/+ mice has not been examined. Methods We measured auditory brainstem responses, cortical auditory evoked potentials, and/or cortical parvalbumin-positive (PV+) interneuron density in over 70 adult mice (32 Df1/+, 39 wild-type). We also performed longitudinal auditory brainstem response measurements in an additional 20 animals (13 Df1/+, 7 wild-type) from 3 weeks of age. Results Electrophysiological markers of central auditory excitability were elevated in Df1/+ mice. PV+ interneurons, which are implicated in schizophrenia pathology, were reduced in density in the auditory cortex but not the secondary motor cortex. Both auditory brain abnormalities correlated with hearing impairment, which affected approximately 60% of adult Df1/+ mice and typically emerged before 6 weeks of age. Conclusions In the Df1/+ mouse model of 22q11.2 deletion syndrome, abnormalities in central auditory excitability and auditory cortical PV+ immunoreactivity correlate with hearing impairment. This is the first demonstration of cortical PV+ interneuron abnormalities correlating with hearing impairment in a mouse model of either schizophrenia or middle-ear inflammation.
Collapse
Affiliation(s)
- Fhatarah A. Zinnamon
- Ear Institute, University College London, London, United Kingdom
- Unit on Neural Circuits and Adaptive Behaviors, Clinical and Translational Neuroscience Branch, National Institute of Mental Health, Bethesda, Maryland
| | - Freya G. Harrison
- Ear Institute, University College London, London, United Kingdom
- Department of Neuroscience, Physiology & Pharmacology, University College London, London, United Kingdom
| | - Sandra S. Wenas
- Ear Institute, University College London, London, United Kingdom
| | - Qing Liu
- Unit on Neural Circuits and Adaptive Behaviors, Clinical and Translational Neuroscience Branch, National Institute of Mental Health, Bethesda, Maryland
| | - Kuan Hong Wang
- Unit on Neural Circuits and Adaptive Behaviors, Clinical and Translational Neuroscience Branch, National Institute of Mental Health, Bethesda, Maryland
- Department of Neuroscience, Del Monte Institute for Neuroscience, University of Rochester Medical Center, Rochester, New York
| | - Jennifer F. Linden
- Ear Institute, University College London, London, United Kingdom
- Department of Neuroscience, Physiology & Pharmacology, University College London, London, United Kingdom
| |
Collapse
|
30
|
Ghimire M, Cai R, Ling L, Brownell KA, Hackett TA, Llano DA, Caspary DM. Increased pyramidal and VIP neuronal excitability in rat primary auditory cortex directly correlates with tinnitus behaviour. J Physiol 2023; 601:2493-2511. [PMID: 37119035 PMCID: PMC10330441 DOI: 10.1113/jp284675] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 04/25/2023] [Indexed: 04/30/2023] Open
Abstract
Tinnitus affects roughly 15%-20% of the population while severely impacting 10% of those afflicted. Tinnitus pathology is multifactorial, generally initiated by damage to the auditory periphery, resulting in a cascade of maladaptive plastic changes at multiple levels of the central auditory neuraxis as well as limbic and non-auditory cortical centres. Using a well-established condition-suppression model of tinnitus, we measured tinnitus-related changes in the microcircuits of excitatory/inhibitory neurons onto layer 5 pyramidal neurons (PNs), as well as changes in the excitability of vasoactive intestinal peptide (VIP) neurons in primary auditory cortex (A1). Patch-clamp recordings from PNs in A1 slices showed tinnitus-related increases in spontaneous excitatory postsynaptic currents (sEPSCs) and decreases in spontaneous inhibitory postsynaptic currents (sIPSCs). Both measures could be correlated to the rat's behavioural evidence of tinnitus. Tinnitus-related changes in PN excitability were independent of changes in A1 excitatory or inhibitory cell numbers. VIP neurons, part of an A1 local circuit that can control the excitation of layer 5 PNs via disinhibitory mechanisms, showed significant tinnitus-related increases in excitability that directly correlated with the rat's behavioural tinnitus score. That PN and VIP changes directly correlated to tinnitus behaviour suggests an important role in A1 tinnitus pathology. Tinnitus-related A1 changes were similar to findings in studies of neuropathic pain in somatosensory cortex suggesting a common pathology of these troublesome perceptual impairments. Improved understanding between excitatory, inhibitory and disinhibitory sensory cortical circuits can serve as a model for testing therapeutic approaches to the treatment of tinnitus and chronic pain. KEY POINTS: We identified tinnitus-related changes in synaptic function of specific neuronal subtypes in a reliable animal model of tinnitus. The findings show direct and indirect tinnitus-related losses of normal inhibitory function at A1 layer 5 pyramidal cells, and increased VIP excitability. The findings are similar to what has been shown for neuropathic pain suggesting that restoring normal inhibitory function at synaptic inputs onto A1 pyramidal neurons (PNs) could conceptually reduce tinnitus discomfort.
Collapse
Affiliation(s)
- Madan Ghimire
- Department of Pharmacology, Southern Illinois University School of Medicine, Springfield, Illinois 62702
| | - Rui Cai
- Department of Pharmacology, Southern Illinois University School of Medicine, Springfield, Illinois 62702
| | - Lynne Ling
- Department of Pharmacology, Southern Illinois University School of Medicine, Springfield, Illinois 62702
| | - Kevin A. Brownell
- Department of Pharmacology, Southern Illinois University School of Medicine, Springfield, Illinois 62702
| | - Troy A. Hackett
- Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, Tennessee 37232
| | - Daniel A. Llano
- Neuroscience Program, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
- Department of Molecular and Integrative Physiology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
- Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Donald M. Caspary
- Department of Pharmacology, Southern Illinois University School of Medicine, Springfield, Illinois 62702
| |
Collapse
|
31
|
Audette NJ, Schneider DM. Stimulus-specific prediction error neurons in mouse auditory cortex. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.06.523032. [PMID: 36711690 PMCID: PMC9881916 DOI: 10.1101/2023.01.06.523032] [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: 01/09/2023]
Abstract
Comparing expectation with experience is an important neural computation performed throughout the brain and is a hallmark of predictive processing. Experiments that alter the sensory outcome of an animal's behavior reveal enhanced neural responses to unexpected self-generated stimuli, indicating that populations of neurons in sensory cortex may reflect prediction errors - mismatches between expectation and experience. However, enhanced neural responses to self-generated stimuli could also arise through non-predictive mechanisms, such as the movement-based facilitation of a neuron's inherent sound responses. If sensory prediction error neurons exist in sensory cortex, it is unknown whether they manifest as general error responses, or respond with specificity to errors in distinct stimulus dimensions. To answer these questions, we trained mice to expect the outcome of a simple sound-generating behavior and recorded auditory cortex activity as mice heard either the expected sound or sounds that deviated from expectation in one of multiple distinct dimensions. Our data reveal that the auditory cortex learns to suppress responses to self-generated sounds along multiple acoustic dimensions simultaneously. We identify a distinct population of auditory cortex neurons that are not responsive to passive sounds or to the expected sound but that explicitly encode prediction errors. These prediction error neurons are abundant only in animals with a learned motor-sensory expectation, and encode one or two specific violations rather than a generic error signal.
Collapse
Affiliation(s)
- Nicholas J Audette
- Center for Neural Science, New York University, 4 Washington Place, New York, NY 10003, USA
| | - David M Schneider
- Center for Neural Science, New York University, 4 Washington Place, New York, NY 10003, USA
| |
Collapse
|
32
|
Williams AM, Angeloni CF, Geffen MN. Sound Improves Neuronal Encoding of Visual Stimuli in Mouse Primary Visual Cortex. J Neurosci 2023; 43:2885-2906. [PMID: 36944489 PMCID: PMC10124961 DOI: 10.1523/jneurosci.2444-21.2023] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 02/14/2023] [Accepted: 02/23/2023] [Indexed: 03/23/2023] Open
Abstract
In everyday life, we integrate visual and auditory information in routine tasks such as navigation and communication. While concurrent sound can improve visual perception, the neuronal correlates of audiovisual integration are not fully understood. Specifically, it remains unclear whether neuronal firing patters in the primary visual cortex (V1) of awake animals demonstrate similar sound-induced improvement in visual discriminability. Furthermore, presentation of sound is associated with movement in the subjects, but little is understood about whether and how sound-associated movement affects audiovisual integration in V1. Here, we investigated how sound and movement interact to modulate V1 visual responses in awake, head-fixed mice and whether this interaction improves neuronal encoding of the visual stimulus. We presented visual drifting gratings with and without simultaneous auditory white noise to awake mice while recording mouse movement and V1 neuronal activity. Sound modulated activity of 80% of light-responsive neurons, with 95% of neurons increasing activity when the auditory stimulus was present. A generalized linear model (GLM) revealed that sound and movement had distinct and complementary effects of the neuronal visual responses. Furthermore, decoding of the visual stimulus from the neuronal activity was improved with sound, an effect that persisted even when controlling for movement. These results demonstrate that sound and movement modulate visual responses in complementary ways, improving neuronal representation of the visual stimulus. This study clarifies the role of movement as a potential confound in neuronal audiovisual responses and expands our knowledge of how multimodal processing is mediated at a neuronal level in the awake brain.SIGNIFICANCE STATEMENT Sound and movement are both known to modulate visual responses in the primary visual cortex; however, sound-induced movement has largely remained unaccounted for as a potential confound in audiovisual studies in awake animals. Here, authors found that sound and movement both modulate visual responses in an important visual brain area, the primary visual cortex, in distinct, yet complementary ways. Furthermore, sound improved encoding of the visual stimulus even when accounting for movement. This study reconciles contrasting theories on the mechanism underlying audiovisual integration and asserts the primary visual cortex as a key brain region participating in tripartite sensory interactions.
Collapse
Affiliation(s)
- Aaron M Williams
- Department of Otorhinolaryngology, University of Pennsylvania, Philadelphia, Pennsylvania, 19104
- Department of Neuroscience, University of Pennsylvania, Philadelphia, Pennsylvania, 19104
- Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, 19104
| | - Christopher F Angeloni
- Department of Otorhinolaryngology, University of Pennsylvania, Philadelphia, Pennsylvania, 19104
- Department of Psychology, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | - Maria N Geffen
- Department of Otorhinolaryngology, University of Pennsylvania, Philadelphia, Pennsylvania, 19104
- Department of Neuroscience, University of Pennsylvania, Philadelphia, Pennsylvania, 19104
- Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, 19104
| |
Collapse
|
33
|
Zhang Z, Zagha E. Motor cortex gates distractor stimulus encoding in sensory cortex. Nat Commun 2023; 14:2097. [PMID: 37055425 PMCID: PMC10102016 DOI: 10.1038/s41467-023-37848-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 03/31/2023] [Indexed: 04/15/2023] Open
Abstract
Suppressing responses to distractor stimuli is a fundamental cognitive function, essential for performing goal-directed tasks. A common framework for the neuronal implementation of distractor suppression is the attenuation of distractor stimuli from early sensory to higher-order processing. However, details of the localization and mechanisms of attenuation are poorly understood. We trained mice to selectively respond to target stimuli in one whisker field and ignore distractor stimuli in the opposite whisker field. During expert task performance, optogenetic inhibition of whisker motor cortex increased the overall tendency to respond and the detection of distractor whisker stimuli. Within sensory cortex, optogenetic inhibition of whisker motor cortex enhanced the propagation of distractor stimuli into target-preferring neurons. Single unit analyses revealed that whisker motor cortex (wMC) decorrelates target and distractor stimulus encoding in target-preferring primary somatosensory cortex (S1) neurons, which likely improves selective target stimulus detection by downstream readers. Moreover, we observed proactive top-down modulation from wMC to S1, through the differential activation of putative excitatory and inhibitory neurons before stimulus onset. Overall, our studies support a contribution of motor cortex to sensory selection, in suppressing behavioral responses to distractor stimuli by gating distractor stimulus propagation within sensory cortex.
Collapse
Affiliation(s)
- Zhaoran Zhang
- Neuroscience Graduate Program, University of California Riverside, Riverside, CA, 92521, USA
| | - Edward Zagha
- Neuroscience Graduate Program, University of California Riverside, Riverside, CA, 92521, USA.
- Department of Psychology, University of California Riverside, Riverside, CA, 92521, USA.
| |
Collapse
|
34
|
Yamada K, Toda K. Pupillary dynamics of mice performing a Pavlovian delay conditioning task reflect reward-predictive signals. Front Syst Neurosci 2022; 16:1045764. [PMID: 36567756 PMCID: PMC9772849 DOI: 10.3389/fnsys.2022.1045764] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Accepted: 11/21/2022] [Indexed: 12/13/2022] Open
Abstract
Pupils can signify various internal processes and states, such as attention, arousal, and working memory. Changes in pupil size have been associated with learning speed, prediction of future events, and deviations from the prediction in human studies. However, the detailed relationships between pupil size changes and prediction are unclear. We explored pupil size dynamics in mice performing a Pavlovian delay conditioning task. A head-fixed experimental setup combined with deep-learning-based image analysis enabled us to reduce spontaneous locomotor activity and to track the precise dynamics of pupil size of behaving mice. By setting up two experimental groups, one for which mice were able to predict reward in the Pavlovian delay conditioning task and the other for which mice were not, we demonstrated that the pupil size of mice is modulated by reward prediction and consumption, as well as body movements, but not by unpredicted reward delivery. Furthermore, we clarified that pupil size is still modulated by reward prediction even after the disruption of body movements by intraperitoneal injection of haloperidol, a dopamine D2 receptor antagonist. These results suggest that changes in pupil size reflect reward prediction signals. Thus, we provide important evidence to reconsider the neuronal circuit involved in computing reward prediction error. This integrative approach of behavioral analysis, image analysis, pupillometry, and pharmacological manipulation will pave the way for understanding the psychological and neurobiological mechanisms of reward prediction and the prediction errors essential to learning and behavior.
Collapse
Affiliation(s)
- Kota Yamada
- Department of Psychology, Keio University, Tokyo, Japan
- Japan Society for the Promotion of Science, Tokyo, Japan
| | - Koji Toda
- Department of Psychology, Keio University, Tokyo, Japan
| |
Collapse
|
35
|
Zhang N, Xu NL. Reshaping sensory representations by task-specific brain states: Toward cortical circuit mechanisms. Curr Opin Neurobiol 2022; 77:102628. [PMID: 36116166 DOI: 10.1016/j.conb.2022.102628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Revised: 07/12/2022] [Accepted: 08/15/2022] [Indexed: 01/10/2023]
Abstract
Perception is internally constructed by integrating brain states with external sensory inputs, a process depending on the topdown modulation of sensory representations. A wealth of earlier studies described task-dependent modulations of sensory cortex corroborating perceptual and behavioral phenomena. But only with recent technological advancements, the underlying circuit-level mechanisms began to be unveiled. We review recent progress along this line of research. It begins to be appreciated that topdown signals can encode various types of task-related information, ranging from task engagement, and category knowledge to decision execution; these signals are transferred via feedback pathways originating from distinct association cortices and interact with sensory cortical circuits. These plausible mechanisms support a broad range of computations from predictive coding to inference making, ultimately form dynamic percepts and endow behavioral flexibility.
Collapse
Affiliation(s)
- Ningyu Zhang
- Institute of Neuroscience, State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China.
| | - Ning-Long Xu
- Institute of Neuroscience, State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China; University of Chinese Academy of Sciences, Beijing 100049, China; Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, Shanghai 201210, China.
| |
Collapse
|
36
|
Szadai Z, Pi HJ, Chevy Q, Ócsai K, Albeanu DF, Chiovini B, Szalay G, Katona G, Kepecs A, Rózsa B. Cortex-wide response mode of VIP-expressing inhibitory neurons by reward and punishment. eLife 2022; 11:e78815. [PMID: 36416886 PMCID: PMC9683790 DOI: 10.7554/elife.78815] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 10/23/2022] [Indexed: 11/24/2022] Open
Abstract
Neocortex is classically divided into distinct areas, each specializing in different function, but all could benefit from reinforcement feedback to inform and update local processing. Yet it remains elusive how global signals like reward and punishment are represented in local cortical computations. Previously, we identified a cortical neuron type, vasoactive intestinal polypeptide (VIP)-expressing interneurons, in auditory cortex that is recruited by behavioral reinforcers and mediates disinhibitory control by inhibiting other inhibitory neurons. As the same disinhibitory cortical circuit is present virtually throughout cortex, we wondered whether VIP neurons are likewise recruited by reinforcers throughout cortex. We monitored VIP neural activity in dozens of cortical regions using three-dimensional random access two-photon microscopy and fiber photometry while mice learned an auditory discrimination task. We found that reward and punishment during initial learning produce rapid, cortex-wide activation of most VIP interneurons. This global recruitment mode showed variations in temporal dynamics in individual neurons and across areas. Neither the weak sensory tuning of VIP interneurons in visual cortex nor their arousal state modulation was fully predictive of reinforcer responses. We suggest that the global response mode of cortical VIP interneurons supports a cell-type-specific circuit mechanism by which organism-level information about reinforcers regulates local circuit processing and plasticity.
Collapse
Affiliation(s)
- Zoltán Szadai
- Laboratory of 3D functional network and dendritic imaging, Institute of Experimental MedicineBudapestHungary
- MTA-PPKE ITK-NAP B – 2p Measurement Technology Group, The Faculty of Information Technology, Pázmány Péter Catholic UniversityBudapestHungary
- János Szentágothai Doctoral School of Neurosciences, Semmelweis UniversityBudapestHungary
- BrainVisionCenterBudapestHungary
| | - Hyun-Jae Pi
- Cold Spring Harbor LaboratoryCold Spring HarborUnited States
- Volen Center for Complex Systems, Biology Department, Brandeis UniversityWalthamUnited States
| | - Quentin Chevy
- Cold Spring Harbor LaboratoryCold Spring HarborUnited States
- Departments of Neuroscience and Psychiatry, Washington University School of MedicineSt. LouisUnited States
| | - Katalin Ócsai
- MTA-PPKE ITK-NAP B – 2p Measurement Technology Group, The Faculty of Information Technology, Pázmány Péter Catholic UniversityBudapestHungary
- BrainVisionCenterBudapestHungary
- Computational Systems Neuroscience Lab, Wigner Research Centre for PhysicsBudapestHungary
- Department of Mathematical Geometry, Institute of Mathematics, Budapest University of Technology and EconomicsBudapestHungary
| | - Dinu F Albeanu
- Cold Spring Harbor LaboratoryCold Spring HarborUnited States
| | - Balázs Chiovini
- Laboratory of 3D functional network and dendritic imaging, Institute of Experimental MedicineBudapestHungary
| | - Gergely Szalay
- Laboratory of 3D functional network and dendritic imaging, Institute of Experimental MedicineBudapestHungary
| | - Gergely Katona
- MTA-PPKE ITK-NAP B – 2p Measurement Technology Group, The Faculty of Information Technology, Pázmány Péter Catholic UniversityBudapestHungary
| | - Adam Kepecs
- Cold Spring Harbor LaboratoryCold Spring HarborUnited States
- Departments of Neuroscience and Psychiatry, Washington University School of MedicineSt. LouisUnited States
| | - Balázs Rózsa
- Laboratory of 3D functional network and dendritic imaging, Institute of Experimental MedicineBudapestHungary
- BrainVisionCenterBudapestHungary
| |
Collapse
|
37
|
Audette NJ, Zhou W, La Chioma A, Schneider DM. Precise movement-based predictions in the mouse auditory cortex. Curr Biol 2022; 32:4925-4940.e6. [PMID: 36283411 PMCID: PMC9691550 DOI: 10.1016/j.cub.2022.09.064] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 09/15/2022] [Accepted: 09/30/2022] [Indexed: 11/05/2022]
Abstract
Many of the sensations experienced by an organism are caused by their own actions, and accurately anticipating both the sensory features and timing of self-generated stimuli is crucial to a variety of behaviors. In the auditory cortex, neural responses to self-generated sounds exhibit frequency-specific suppression, suggesting that movement-based predictions may be implemented early in sensory processing. However, it remains unknown whether this modulation results from a behaviorally specific and temporally precise prediction, nor is it known whether corresponding expectation signals are present locally in the auditory cortex. To address these questions, we trained mice to expect the precise acoustic outcome of a forelimb movement using a closed-loop sound-generating lever. Dense neuronal recordings in the auditory cortex revealed suppression of responses to self-generated sounds that was specific to the expected acoustic features, to a precise position within the movement, and to the movement that was coupled to sound during training. Prediction-based suppression was concentrated in L2/3 and L5, where deviations from expectation also recruited a population of prediction-error neurons that was otherwise unresponsive. Recording in the absence of sound revealed abundant movement signals in deep layers that were biased toward neurons tuned to the expected sound, as well as expectation signals that were present throughout the cortex and peaked at the time of expected auditory feedback. Together, these findings identify distinct populations of auditory cortical neurons with movement, expectation, and error signals consistent with a learned internal model linking an action to its specific acoustic outcome.
Collapse
Affiliation(s)
- Nicholas J Audette
- Center for Neural Science, New York University, 4 Washington Place, New York, NY 10003, USA
| | - WenXi Zhou
- Center for Neural Science, New York University, 4 Washington Place, New York, NY 10003, USA
| | - Alessandro La Chioma
- Center for Neural Science, New York University, 4 Washington Place, New York, NY 10003, USA
| | - David M Schneider
- Center for Neural Science, New York University, 4 Washington Place, New York, NY 10003, USA.
| |
Collapse
|
38
|
JA R, Lovelace JW, Kokash J, Hussain A, KA R. Nicotine reduces age-related changes in cortical neural oscillations without affecting auditory brainstem responses. Neurobiol Aging 2022; 120:10-26. [DOI: 10.1016/j.neurobiolaging.2022.07.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 07/15/2022] [Accepted: 07/23/2022] [Indexed: 11/29/2022]
|
39
|
Echolocation-related reversal of information flow in a cortical vocalization network. Nat Commun 2022; 13:3642. [PMID: 35752629 PMCID: PMC9233670 DOI: 10.1038/s41467-022-31230-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Accepted: 05/30/2022] [Indexed: 11/09/2022] Open
Abstract
The mammalian frontal and auditory cortices are important for vocal behavior. Here, using local-field potential recordings, we demonstrate that the timing and spatial patterns of oscillations in the fronto-auditory network of vocalizing bats (Carollia perspicillata) predict the purpose of vocalization: echolocation or communication. Transfer entropy analyses revealed predominant top-down (frontal-to-auditory cortex) information flow during spontaneous activity and pre-vocal periods. The dynamics of information flow depend on the behavioral role of the vocalization and on the timing relative to vocal onset. We observed the emergence of predominant bottom-up (auditory-to-frontal) information transfer during the post-vocal period specific to echolocation pulse emission, leading to self-directed acoustic feedback. Electrical stimulation of frontal areas selectively enhanced responses to sounds in auditory cortex. These results reveal unique changes in information flow across sensory and frontal cortices, potentially driven by the purpose of the vocalization in a highly vocal mammalian model.
Collapse
|
40
|
Abstract
The last decade has seen the emergence of new theoretical frameworks to explain pathological fatigue, a much neglected, yet highly significant symptom across a wide range of diseases. While the new models of fatigue provide new hypotheses to test, they also raise a number of questions. The primary purpose of this essay is to examine the predictions of three recently proposed models of fatigue, the overlap and differences between them, and the evidence from diseases that may lend support to the models of fatigue. I also present expansions for the sensory attenuation model of fatigue. Further questions examined here are the following: What are the neural substrates of fatigue? How can sensory attenuation, which underpins agency also explain fatigue? Are fatigue and agency related?
Collapse
Affiliation(s)
- Annapoorna Kuppuswamy
- Department of Clinical and Movement Neuroscience, Institute of Neurology, University College London, London, UK
| |
Collapse
|
41
|
Zhao M, Ren M, Jiang T, Jia X, Wang X, Li A, Li X, Luo Q, Gong H. Whole-Brain Direct Inputs to and Axonal Projections from Excitatory and Inhibitory Neurons in the Mouse Primary Auditory Area. Neurosci Bull 2022; 38:576-590. [PMID: 35312957 PMCID: PMC9206059 DOI: 10.1007/s12264-022-00838-5] [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: 06/08/2021] [Accepted: 12/26/2021] [Indexed: 11/29/2022] Open
Abstract
Neurons in the primary auditory area (AUDp) innervate multiple brain regions with long-range projections while receiving informative inputs for diverse functions. However, the brain-wide connections of these neurons have not been comprehensively investigated. Here, we simultaneously applied virus-based anterograde and retrograde tracing, labeled the connections of excitatory and inhibitory neurons in the mouse AUDp, and acquired whole-brain information using a dual-channel fluorescence micro-optical sectioning tomography system. Quantified results showed that the two types of neurons received inputs with similar patterns but sent heterogeneous projections to downstream regions. In the isocortex, functionally different areas consistently sent feedback-dominated projections to these neurons, with concomitant laterally-dominated projections from the sensory and limbic cortices to inhibitory neurons. In subcortical regions, the dorsal and medial parts of the non-lemniscal auditory thalamus (AT) were reciprocally connected to the AUDp, while the ventral part contained the most fibers of passage from the excitatory neurons and barely sent projections back, indicating the regional heterogeneity of the AUDp-AT circuit. Our results reveal details of the whole-brain network and provide new insights for further physiological and functional studies of the AUDp.
Collapse
Affiliation(s)
- Mengting Zhao
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Miao Ren
- Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou, 570228, China
| | - Tao Jiang
- HUST-Suzhou Institute for Brainsmatics, JITRI, Suzhou, 215123, China
| | - Xueyan Jia
- HUST-Suzhou Institute for Brainsmatics, JITRI, Suzhou, 215123, China
| | - Xiaojun Wang
- Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou, 570228, China
| | - Anan Li
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan, 430074, China
- HUST-Suzhou Institute for Brainsmatics, JITRI, Suzhou, 215123, China
| | - Xiangning Li
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan, 430074, China
- HUST-Suzhou Institute for Brainsmatics, JITRI, Suzhou, 215123, China
| | - Qingming Luo
- Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou, 570228, China
| | - Hui Gong
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan, 430074, China.
- HUST-Suzhou Institute for Brainsmatics, JITRI, Suzhou, 215123, China.
| |
Collapse
|
42
|
Sun W, Tang P, Liang Y, Li J, Feng J, Zhang N, Lu D, He J, Chen X. The anterior cingulate cortex directly enhances auditory cortical responses in air-puffing-facilitated flight behavior. Cell Rep 2022; 38:110506. [PMID: 35263590 DOI: 10.1016/j.celrep.2022.110506] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Revised: 11/11/2021] [Accepted: 02/16/2022] [Indexed: 12/17/2022] Open
Abstract
For survival, animals encode prominent events in complex environments, which modulates their defense behavior. Here, we design a paradigm that assesses how a mild aversive cue (i.e., mild air puff) interacts with sound-evoked flight behavior in mice. We find that air puffing facilitates sound-evoked flight behavior by enhancing the auditory responses of auditory cortical neurons. We then find that the anterior part of the anterior cingulate cortex (ACC) encodes the valence of air puffing and modulates the auditory cortex through anatomical examination, physiological recordings, and optogenetic/chemogenetic manipulations. Activating ACC projections to the auditory cortex simulates the facilitating effect of air puffing, whereas inhibiting the ACC or its projections to the auditory cortex neutralizes this facilitating effect. These findings show that the ACC regulates sound-evoked flight behavior by potentiating neuronal responses in the auditory cortex.
Collapse
Affiliation(s)
- Wenjian Sun
- Department of Neuroscience, City University of Hong Kong, Kowloon Tong, 0000 Hong Kong SAR, P.R. China; Centre for Regenerative Medicine and Health, Hong Kong Institute of Science & Innovation, Chinese Academy of Sciences, 0000 Hong Kong SAR, P.R. China
| | - Peng Tang
- Department of Neuroscience, City University of Hong Kong, Kowloon Tong, 0000 Hong Kong SAR, P.R. China; Centre for Regenerative Medicine and Health, Hong Kong Institute of Science & Innovation, Chinese Academy of Sciences, 0000 Hong Kong SAR, P.R. China
| | - Ye Liang
- Department of Neuroscience, City University of Hong Kong, Kowloon Tong, 0000 Hong Kong SAR, P.R. China
| | - Jing Li
- Department of Neuroscience, City University of Hong Kong, Kowloon Tong, 0000 Hong Kong SAR, P.R. China; Centre for Regenerative Medicine and Health, Hong Kong Institute of Science & Innovation, Chinese Academy of Sciences, 0000 Hong Kong SAR, P.R. China
| | - Jingyu Feng
- Department of Neuroscience, City University of Hong Kong, Kowloon Tong, 0000 Hong Kong SAR, P.R. China
| | - Nan Zhang
- Department of Neuroscience, City University of Hong Kong, Kowloon Tong, 0000 Hong Kong SAR, P.R. China; Centre for Regenerative Medicine and Health, Hong Kong Institute of Science & Innovation, Chinese Academy of Sciences, 0000 Hong Kong SAR, P.R. China
| | - Danyi Lu
- Department of Neuroscience, City University of Hong Kong, Kowloon Tong, 0000 Hong Kong SAR, P.R. China
| | - Jufang He
- Department of Neuroscience, City University of Hong Kong, Kowloon Tong, 0000 Hong Kong SAR, P.R. China; City University of Hong Kong Shenzhen Research Institute, Shenzhen 518507, P.R. China.
| | - Xi Chen
- Department of Neuroscience, City University of Hong Kong, Kowloon Tong, 0000 Hong Kong SAR, P.R. China; City University of Hong Kong Shenzhen Research Institute, Shenzhen 518507, P.R. China.
| |
Collapse
|
43
|
Auerbach BD, Gritton HJ. Hearing in Complex Environments: Auditory Gain Control, Attention, and Hearing Loss. Front Neurosci 2022; 16:799787. [PMID: 35221899 PMCID: PMC8866963 DOI: 10.3389/fnins.2022.799787] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Accepted: 01/18/2022] [Indexed: 12/12/2022] Open
Abstract
Listening in noisy or complex sound environments is difficult for individuals with normal hearing and can be a debilitating impairment for those with hearing loss. Extracting meaningful information from a complex acoustic environment requires the ability to accurately encode specific sound features under highly variable listening conditions and segregate distinct sound streams from multiple overlapping sources. The auditory system employs a variety of mechanisms to achieve this auditory scene analysis. First, neurons across levels of the auditory system exhibit compensatory adaptations to their gain and dynamic range in response to prevailing sound stimulus statistics in the environment. These adaptations allow for robust representations of sound features that are to a large degree invariant to the level of background noise. Second, listeners can selectively attend to a desired sound target in an environment with multiple sound sources. This selective auditory attention is another form of sensory gain control, enhancing the representation of an attended sound source while suppressing responses to unattended sounds. This review will examine both “bottom-up” gain alterations in response to changes in environmental sound statistics as well as “top-down” mechanisms that allow for selective extraction of specific sound features in a complex auditory scene. Finally, we will discuss how hearing loss interacts with these gain control mechanisms, and the adaptive and/or maladaptive perceptual consequences of this plasticity.
Collapse
Affiliation(s)
- Benjamin D. Auerbach
- Department of Molecular and Integrative Physiology, Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States
- Neuroscience Program, University of Illinois at Urbana-Champaign, Urbana, IL, United States
- *Correspondence: Benjamin D. Auerbach,
| | - Howard J. Gritton
- Neuroscience Program, University of Illinois at Urbana-Champaign, Urbana, IL, United States
- Department of Comparative Biosciences, University of Illinois at Urbana-Champaign, Urbana, IL, United States
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States
| |
Collapse
|
44
|
Elbaz M, Callado Perez A, Demers M, Zhao S, Foo C, Kleinfeld D, Deschenes M. A vibrissa pathway that activates the limbic system. eLife 2022; 11:72096. [PMID: 35142608 PMCID: PMC8830883 DOI: 10.7554/elife.72096] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2021] [Accepted: 01/24/2022] [Indexed: 11/13/2022] Open
Abstract
Vibrissa sensory inputs play a central role in driving rodent behavior. These inputs transit through the sensory trigeminal nuclei, which give rise to the ascending lemniscal and paralemniscal pathways. While lemniscal projections are somatotopically mapped from brainstem to cortex, those of the paralemniscal pathway are more widely distributed. Yet the extent and topography of paralemniscal projections are unknown, along with the potential role of these projections in controlling behavior. Here, we used viral tracers to map paralemniscal projections. We find that this pathway broadcasts vibrissa-based sensory signals to brainstem regions that are involved in the regulation of autonomic functions and to forebrain regions that are involved in the expression of emotional reactions. We further provide evidence that GABAergic cells of the Kölliker-Fuse nucleus gate trigeminal sensory input in the paralemniscal pathway via a mechanism of presynaptic or extrasynaptic inhibition.
Collapse
Affiliation(s)
- Michaël Elbaz
- CERVO Research Center, Laval University, Québec City, Canada
| | - Amalia Callado Perez
- CERVO Research Center, Laval University, Québec City, Canada.,Department of Physics, University of California, San Diego, San Diego, United States
| | - Maxime Demers
- CERVO Research Center, Laval University, Québec City, Canada
| | - Shengli Zhao
- Department of Neurobiology, Duke University Medical Center, Durham, United States
| | - Conrad Foo
- Department of Physics, University of California, San Diego, San Diego, United States
| | - David Kleinfeld
- Department of Physics, University of California, San Diego, San Diego, United States.,Section of Neurobiology, University of California, San Diego, San Diego, United States
| | | |
Collapse
|
45
|
Task-induced modulations of neuronal activity along the auditory pathway. Cell Rep 2021; 37:110115. [PMID: 34910908 DOI: 10.1016/j.celrep.2021.110115] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Revised: 01/29/2021] [Accepted: 11/19/2021] [Indexed: 11/23/2022] Open
Abstract
Sensory processing varies depending on behavioral context. Here, we ask how task engagement modulates neurons in the auditory system. We train mice in a simple tone-detection task and compare their neuronal activity during passive hearing and active listening. Electrophysiological extracellular recordings in the inferior colliculus, medial geniculate body, primary auditory cortex, and anterior auditory field reveal widespread modulations across all regions and cortical layers and in both putative regular- and fast-spiking cortical neurons. Clustering analysis unveils ten distinct modulation patterns that can either enhance or suppress neuronal activity. Task engagement changes the tone-onset response in most neurons. Such modulations first emerge in subcortical areas, ruling out cortical feedback as the only mechanism underlying subcortical modulations. Half the neurons additionally display late modulations associated with licking, arousal, or reward. Our results reveal the presence of functionally distinct subclasses of neurons, differentially sensitive to specific task-related variables but anatomically distributed along the auditory pathway.
Collapse
|
46
|
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.
Collapse
|
47
|
Zhang Z, Zhou J, Tan P, Pang Y, Rivkin AC, Kirchgessner MA, Williams E, Lee CT, Liu H, Franklin AD, Miyazaki PA, Bartlett A, Aldridge AI, Vu M, Boggeman L, Fitzpatrick C, Nery JR, Castanon RG, Rashid M, Jacobs MW, Ito-Cole T, O'Connor C, Pinto-Duartec A, Dominguez B, Smith JB, Niu SY, Lee KF, Jin X, Mukamel EA, Behrens MM, Ecker JR, Callaway EM. Epigenomic diversity of cortical projection neurons in the mouse brain. Nature 2021; 598:167-173. [PMID: 34616065 PMCID: PMC8494636 DOI: 10.1038/s41586-021-03223-w] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Accepted: 01/11/2021] [Indexed: 01/02/2023]
Abstract
Neuronal cell types are classically defined by their molecular properties, anatomy and functions. Although recent advances in single-cell genomics have led to high-resolution molecular characterization of cell type diversity in the brain1, neuronal cell types are often studied out of the context of their anatomical properties. To improve our understanding of the relationship between molecular and anatomical features that define cortical neurons, here we combined retrograde labelling with single-nucleus DNA methylation sequencing to link neural epigenomic properties to projections. We examined 11,827 single neocortical neurons from 63 cortico-cortical and cortico-subcortical long-distance projections. Our results showed unique epigenetic signatures of projection neurons that correspond to their laminar and regional location and projection patterns. On the basis of their epigenomes, intra-telencephalic cells that project to different cortical targets could be further distinguished, and some layer 5 neurons that project to extra-telencephalic targets (L5 ET) formed separate clusters that aligned with their axonal projections. Such separation varied between cortical areas, which suggests that there are area-specific differences in L5 ET subtypes, which were further validated by anatomical studies. Notably, a population of cortico-cortical projection neurons clustered with L5 ET rather than intra-telencephalic neurons, which suggests that a population of L5 ET cortical neurons projects to both targets. We verified the existence of these neurons by dual retrograde labelling and anterograde tracing of cortico-cortical projection neurons, which revealed axon terminals in extra-telencephalic targets including the thalamus, superior colliculus and pons. These findings highlight the power of single-cell epigenomic approaches to connect the molecular properties of neurons with their anatomical and projection properties.
Collapse
Affiliation(s)
- Zhuzhu Zhang
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Jingtian Zhou
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
- Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA, USA
| | - Pengcheng Tan
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
- School of Pharmaceutical Sciences, Tsinghua University, Beijing, China
| | - Yan Pang
- Systems Neurobiology Laboratories, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Angeline C Rivkin
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Megan A Kirchgessner
- Systems Neurobiology Laboratories, The Salk Institute for Biological Studies, La Jolla, CA, USA
- Neurosciences Graduate Program, University of California, San Diego, La Jolla, CA, USA
| | - Elora Williams
- Molecular Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Cheng-Ta Lee
- Peptide Biology Laboratories, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Hanqing Liu
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
- Division of Biological Sciences, University of California San Diego, La Jolla, CA, USA
| | - Alexis D Franklin
- Systems Neurobiology Laboratories, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Paula Assakura Miyazaki
- Systems Neurobiology Laboratories, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Anna Bartlett
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Andrew I Aldridge
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Minh Vu
- Systems Neurobiology Laboratories, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Lara Boggeman
- Flow Cytometry Core Facility, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Conor Fitzpatrick
- Flow Cytometry Core Facility, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Joseph R Nery
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Rosa G Castanon
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Mohammad Rashid
- Systems Neurobiology Laboratories, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Matthew W Jacobs
- Systems Neurobiology Laboratories, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Tony Ito-Cole
- Systems Neurobiology Laboratories, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Carolyn O'Connor
- Flow Cytometry Core Facility, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - António Pinto-Duartec
- Computational Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Bertha Dominguez
- Peptide Biology Laboratories, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Jared B Smith
- Molecular Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Sheng-Yong Niu
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Kuo-Fen Lee
- Peptide Biology Laboratories, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Xin Jin
- Molecular Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Eran A Mukamel
- Department of Cognitive Science, University of California, San Diego, La Jolla, CA, USA
| | - M Margarita Behrens
- Computational Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Joseph R Ecker
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA.
- Howard Hughes Medical Institute, The Salk Institute for Biological Studies, La Jolla, CA, USA.
| | - Edward M Callaway
- Systems Neurobiology Laboratories, The Salk Institute for Biological Studies, La Jolla, CA, USA.
| |
Collapse
|
48
|
Reznik D, Guttman N, Buaron B, Zion-Golumbic E, Mukamel R. Action-locked Neural Responses in Auditory Cortex to Self-generated Sounds. Cereb Cortex 2021; 31:5560-5569. [PMID: 34185837 DOI: 10.1093/cercor/bhab179] [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: 03/24/2021] [Revised: 05/24/2021] [Accepted: 05/25/2021] [Indexed: 11/14/2022] Open
Abstract
Sensory perception is a product of interactions between the internal state of an organism and the physical attributes of a stimulus. It has been shown across the animal kingdom that perception and sensory-evoked physiological responses are modulated depending on whether or not the stimulus is the consequence of voluntary actions. These phenomena are often attributed to motor signals sent to relevant sensory regions that convey information about upcoming sensory consequences. However, the neurophysiological signature of action-locked modulations in sensory cortex, and their relationship with perception, is still unclear. In the current study, we recorded neurophysiological (using Magnetoencephalography) and behavioral responses from 16 healthy subjects performing an auditory detection task of faint tones. Tones were either generated by subjects' voluntary button presses or occurred predictably following a visual cue. By introducing a constant temporal delay between button press/cue and tone delivery, and applying source-level analysis, we decoupled action-locked and auditory-locked activity in auditory cortex. We show action-locked evoked-responses in auditory cortex following sound-triggering actions and preceding sound onset. Such evoked-responses were not found for button-presses that were not coupled with sounds, or sounds delivered following a predictive visual cue. Our results provide evidence for efferent signals in human auditory cortex that are locked to voluntary actions coupled with future auditory consequences.
Collapse
Affiliation(s)
- Daniel Reznik
- Max Planck Institute for Human Cognitive and Brain Sciences, Psychology Department, Leipzig, 04103, Germany
| | - Noa Guttman
- The Gonda Center for Multidisciplinary Brain Research, Bar-Ilan University, Ramat Gan, 5290002, Israel
| | - Batel Buaron
- Sagol School of Neuroscience and School of Psychological Sciences, Tel-Aviv University, 69978, Israel
| | - Elana Zion-Golumbic
- The Gonda Center for Multidisciplinary Brain Research, Bar-Ilan University, Ramat Gan, 5290002, Israel
| | - Roy Mukamel
- Sagol School of Neuroscience and School of Psychological Sciences, Tel-Aviv University, 69978, Israel
| |
Collapse
|
49
|
Meng X, Solarana K, Bowen Z, Liu J, Nagode DA, Sheikh A, Winkowski DE, Kao JPY, Kanold PO. Transient Subgranular Hyperconnectivity to L2/3 and Enhanced Pairwise Correlations During the Critical Period in the Mouse Auditory Cortex. Cereb Cortex 2021; 30:1914-1930. [PMID: 31667495 DOI: 10.1093/cercor/bhz213] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2018] [Revised: 08/20/2019] [Accepted: 08/20/2019] [Indexed: 11/13/2022] Open
Abstract
During the critical period, neuronal connections are shaped by sensory experience. While the basis for this temporarily heightened plasticity remains unclear, shared connections introducing activity correlations likely play a key role. Thus, we investigated the changing intracortical connectivity in primary auditory cortex (A1) over development. In adult, layer 2/3 (L2/3) neurons receive ascending inputs from layer 4 (L4) and also receive few inputs from subgranular layer 5/6 (L5/6). We measured the spatial pattern of intracortical excitatory and inhibitory connections to L2/3 neurons in slices of mouse A1 across development using laser-scanning photostimulation. Before P11, L2/3 cells receive most excitatory input from within L2/3. Excitatory inputs from L2/3 and L4 increase after P5 and peak during P9-16. L5/6 inputs increase after P5 and provide most input during P12-16, the peak of the critical period. Inhibitory inputs followed a similar pattern. Functional circuit diversity in L2/3 emerges after P16. In vivo two-photon imaging shows low pairwise signal correlations in neighboring neurons before P11, which peak at P15-16 and decline after. Our results suggest that the critical period is characterized by high pairwise activity correlations and that transient hyperconnectivity of specific circuits, in particular those originating in L5/6, might play a key role.
Collapse
Affiliation(s)
- Xiangying Meng
- Department of Biology, University of Maryland, College Park, MD 20742, USA
| | - Krystyna Solarana
- Department of Biology, University of Maryland, College Park, MD 20742, USA
| | - Zac Bowen
- Department of Biology, University of Maryland, College Park, MD 20742, USA
| | - Ji Liu
- Department of Biology, University of Maryland, College Park, MD 20742, USA
| | - Daniel A Nagode
- Department of Biology, University of Maryland, College Park, MD 20742, USA
| | - Aminah Sheikh
- Department of Biology, University of Maryland, College Park, MD 20742, USA
| | - Daniel E Winkowski
- Department of Biology, University of Maryland, College Park, MD 20742, USA
| | - Joseph P Y Kao
- Center for Biomedical Engineering and Technology, and Department of Physiology, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Patrick O Kanold
- Department of Biology, University of Maryland, College Park, MD 20742, USA
| |
Collapse
|
50
|
Li Y, Wang X, Li Z, Chen J, Qin L. Effect of locomotion on the auditory steady state response of head-fixed mice. World J Biol Psychiatry 2021; 22:362-372. [PMID: 32901530 DOI: 10.1080/15622975.2020.1814409] [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] [Indexed: 10/23/2022]
Abstract
OBJECTIVES Electroencephalographic (EEG) examinations of the auditory steady-state response (ASSR) can non-invasively probe cortical function to generate the gamma-band (40 Hz) oscillation, which is increasingly applied to the neurophysiological studies on the rodent models of psychiatric disorders. Though, it has been well established that the brain activities are significantly modulated by the behavioural state (such as locomotion), how the ASSR is affected remains unclear. METHODS We investigated the effect of locomotion by recording local field potential (LFP) evoked by 40-Hz click-train from multiple brain areas: auditory cortex (AC), medial geniculate body (MGB), hippocampus (HP) and prefrontal cortex (PFC), in head-fixed mice free to run on a treadmill. Comparisons were conducted on the LFPs during spontaneous movement and stationary conditions. RESULTS We found that in both the auditory (AC and MGB) and non-auditory areas (HP and PFC), locomotion reduced the initial negative deflection of LFP (early response during 0-100 ms from stimulus onset), and had no significant effect on the ASSR phase-locking to the late stimulus (100-500 ms). CONCLUSIONS Our results suggest that different neural mechanisms contribute to the early response and ASSR, and the ASSR is a more robust biomarker to investigate the pathogenesis of neuropsychiatric disorders.
Collapse
Affiliation(s)
- Yingzhuo Li
- Department of Physiology, China Medical University, Shenyang, PR China
| | - Xuejiao Wang
- Department of Physiology, China Medical University, Shenyang, PR China
| | - Zijie Li
- Department of Physiology, China Medical University, Shenyang, PR China
| | - Jingyu Chen
- Department of Physiology, China Medical University, Shenyang, PR China
| | - Ling Qin
- Department of Physiology, China Medical University, Shenyang, PR China
| |
Collapse
|