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Schafer Z, Haab L, Schwerdtfeger K, Takahashi K, Strauss DJ. Detection of information flow between cortical laminae activities and auditory evoked potentials in rats by means of Granger causality. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2020; 2020:876-879. [PMID: 33018124 DOI: 10.1109/embc44109.2020.9176719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
We seek to understand the relation between invasive high-resolution data and non-invasive measurement in an animal model in an auditory sensory adaptation experimental setting. In a previous study, we estimated the mutual information between the phase of auditory evoked responses (AER) with the phase of local field potentials (LFP) of auditory cortices at different frequency ranges. The results showed a consistently high level of information sharing between the AER activities as well as the responses from the granular layer, which was known as the main thalamo-recipient layer. However, mutual information was fundamentally an undirected measure of information flow. In this study we investigated how well we could characterize direction of information flow, by using Granger causality (GC), between different cortical laminae and functional projections on to the AER activities. We obtained that based on the GC coefficients, we are able to extract the connectivity between different cortical laminae to some extend and also a strong connection between the AER and granular layer. In our future study, we would like to construct a reliable picture of network connectivity, both functionally and anatomically, between different layers at more specified frequencies and much finer temporal resolutions.
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An analysis of nonlinear dynamics underlying neural activity related to auditory induction in the rat auditory cortex. Neuroscience 2016; 318:58-83. [PMID: 26772432 DOI: 10.1016/j.neuroscience.2015.12.060] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2015] [Revised: 12/31/2015] [Accepted: 12/31/2015] [Indexed: 11/20/2022]
Abstract
A sound interrupted by silence is perceived as discontinuous. However, when high-intensity noise is inserted during the silence, the missing sound may be perceptually restored and be heard as uninterrupted. This illusory phenomenon is called auditory induction. Recent electrophysiological studies have revealed that auditory induction is associated with the primary auditory cortex (A1). Although experimental evidence has been accumulating, the neural mechanisms underlying auditory induction in A1 neurons are poorly understood. To elucidate this, we used both experimental and computational approaches. First, using an optical imaging method, we characterized population responses across auditory cortical fields to sound and identified five subfields in rats. Next, we examined neural population activity related to auditory induction with high temporal and spatial resolution in the rat auditory cortex (AC), including the A1 and several other AC subfields. Our imaging results showed that tone-burst stimuli interrupted by a silent gap elicited early phasic responses to the first tone and similar or smaller responses to the second tone following the gap. In contrast, tone stimuli interrupted by broadband noise (BN), considered to cause auditory induction, considerably suppressed or eliminated responses to the tone following the noise. Additionally, tone-burst stimuli that were interrupted by notched noise centered at the tone frequency, which is considered to decrease the strength of auditory induction, partially restored the second responses from the suppression caused by BN. To phenomenologically mimic the neural population activity in the A1 and thus investigate the mechanisms underlying auditory induction, we constructed a computational model from the periphery through the AC, including a nonlinear dynamical system. The computational model successively reproduced some of the above-mentioned experimental results. Therefore, our results suggest that a nonlinear, self-exciting system is a key element for qualitatively reproducing A1 population activity and to understand the underlying mechanisms.
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Baugh AT, Ryan MJ, Bernal XE, Rand AS, Bee MA. Female túngara frogs do not experience the continuity illusion. Behav Neurosci 2015; 130:62-74. [PMID: 26692450 DOI: 10.1037/bne0000115] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
In humans and some nonhuman vertebrates, a sound containing brief silent gaps can be rendered perceptually continuous by inserting noise into the gaps. This so-called "continuity illusion" arises from a phenomenon known as "auditory induction" and results in the perception of complete auditory objects despite fragmentary or incomplete acoustic information. Previous studies of auditory induction in gray treefrogs (Hyla versicolor and H. chrysoscelis) have demonstrated an absence of this phenomenon. These treefrog species produce pulsatile (noncontinuous) vocalizations, whereas studies of auditory induction in other taxa, including humans, often present continuous sounds (e.g., frequency-modulated sweeps). This study investigated the continuity illusion in a frog (Physalaemus pustulosus) with an advertisement vocalization that is naturally continuous and thus similar to the tonal sweeps used in human psychophysical studies of auditory induction. In a series of playback experiments, female subjects were presented with sets of stimuli that included complete calls, calls with silent gaps, and calls with silent gaps filled with noise. The results failed to provide evidence of auditory induction. Current evidence, therefore, suggests that mammals and birds experience auditory induction, but frogs may not. This emerging pattern of taxonomic differences is considered in light of potential methodological, neurophysiological, and functional explanations.
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Affiliation(s)
| | - Michael J Ryan
- Department of Integrative Biology, The University of Texas at Austin
| | | | | | - Mark A Bee
- Department of Ecology, Evolution, and Behavior, University of Minnesota-Twin Cities
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Escabí MA, Read HL, Viventi J, Kim DH, Higgins NC, Storace DA, Liu ASK, Gifford AM, Burke JF, Campisi M, Kim YS, Avrin AE, Spiegel Jan VD, Huang Y, Li M, Wu J, Rogers JA, Litt B, Cohen YE. A high-density, high-channel count, multiplexed μECoG array for auditory-cortex recordings. J Neurophysiol 2014; 112:1566-83. [PMID: 24920021 DOI: 10.1152/jn.00179.2013] [Citation(s) in RCA: 72] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Our understanding of the large-scale population dynamics of neural activity is limited, in part, by our inability to record simultaneously from large regions of the cortex. Here, we validated the use of a large-scale active microelectrode array that simultaneously records 196 multiplexed micro-electrocortigraphical (μECoG) signals from the cortical surface at a very high density (1,600 electrodes/cm(2)). We compared μECoG measurements in auditory cortex using a custom "active" electrode array to those recorded using a conventional "passive" μECoG array. Both of these array responses were also compared with data recorded via intrinsic optical imaging, which is a standard methodology for recording sound-evoked cortical activity. Custom active μECoG arrays generated more veridical representations of the tonotopic organization of the auditory cortex than current commercially available passive μECoG arrays. Furthermore, the cortical representation could be measured efficiently with the active arrays, requiring as little as 13.5 s of neural data acquisition. Next, we generated spectrotemporal receptive fields from the recorded neural activity on the active μECoG array and identified functional organizational principles comparable to those observed using intrinsic metabolic imaging and single-neuron recordings. This new electrode array technology has the potential for large-scale, temporally precise monitoring and mapping of the cortex, without the use of invasive penetrating electrodes.
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Affiliation(s)
- Monty A Escabí
- Department of Psychology, University of Connecticut, Storrs, Connecticut; Department of Biomedical Engineering, University of Connecticut, Storrs, Connecticut; Department of Electrical Engineering, University of Connecticut, Storrs, Connecticut
| | - Heather L Read
- Department of Psychology, University of Connecticut, Storrs, Connecticut; Department of Biomedical Engineering, University of Connecticut, Storrs, Connecticut
| | - Jonathan Viventi
- Center for Neural Science, New York University, New York, New York; Department of Electrical and Computer Engineering, Polytechnic Institute of New York University, Brooklyn, New York
| | - Dae-Hyeong Kim
- Center for Nanoparticle Research of Institute for Basic Science, School of Chemical and Biological Engineering, Seoul National University, Seoul, Republic of Korea
| | - Nathan C Higgins
- Department of Psychology, University of Connecticut, Storrs, Connecticut
| | - Douglas A Storace
- Department of Psychology, University of Connecticut, Storrs, Connecticut
| | - Andrew S K Liu
- Bioengineering Graduate Group, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Adam M Gifford
- Neuroscience Graduate Group, University of Pennsylvania, Philadelphia, Pennsylvania
| | - John F Burke
- Neuroscience Graduate Group, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Matthew Campisi
- Department of Electrical and Computer Engineering, Polytechnic Institute of New York University, Brooklyn, New York
| | - Yun-Soung Kim
- Department of Materials Science and Engineering, Beckman Institute for Advanced Science and Technology and Frederick Seitz Materials Research Laboratory, University of Illinois at Urbana-Champaign, Urbana, Illinois
| | - Andrew E Avrin
- Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Van der Spiegel Jan
- Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Yonggang Huang
- Departments of Mechanical Engineering and Civil and Environmental Engineering, Northwestern University, Evanston, Illinois
| | - Ming Li
- State Key Laboratory of Structural Analysis for Industrial Equipment, Dalian University of Technology, Dalian, China
| | - Jian Wu
- Department of Engineering Mechanics, Tsinghua University, Beijing, China
| | - John A Rogers
- Department of Materials Science and Engineering, Beckman Institute for Advanced Science and Technology and Frederick Seitz Materials Research Laboratory, University of Illinois at Urbana-Champaign, Urbana, Illinois
| | - Brian Litt
- Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Yale E Cohen
- Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; and Department of Otorhinolaryngology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
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Roland PE, Hilgetag CC, Deco G. Cortico-cortical communication dynamics. Front Syst Neurosci 2014; 8:19. [PMID: 24847217 PMCID: PMC4017159 DOI: 10.3389/fnsys.2014.00019] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2013] [Accepted: 01/25/2014] [Indexed: 11/13/2022] Open
Abstract
In principle, cortico-cortical communication dynamics is simple: neurons in one cortical area communicate by sending action potentials that release glutamate and excite their target neurons in other cortical areas. In practice, knowledge about cortico-cortical communication dynamics is minute. One reason is that no current technique can capture the fast spatio-temporal cortico-cortical evolution of action potential transmission and membrane conductances with sufficient spatial resolution. A combination of optogenetics and monosynaptic tracing with virus can reveal the spatio-temporal cortico-cortical dynamics of specific neurons and their targets, but does not reveal how the dynamics evolves under natural conditions. Spontaneous ongoing action potentials also spread across cortical areas and are difficult to separate from structured evoked and intrinsic brain activity such as thinking. At a certain state of evolution, the dynamics may engage larger populations of neurons to drive the brain to decisions, percepts and behaviors. For example, successfully evolving dynamics to sensory transients can appear at the mesoscopic scale revealing how the transient is perceived. As a consequence of these methodological and conceptual difficulties, studies in this field comprise a wide range of computational models, large-scale measurements (e.g., by MEG, EEG), and a combination of invasive measurements in animal experiments. Further obstacles and challenges of studying cortico-cortical communication dynamics are outlined in this critical review.
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Affiliation(s)
- Per E Roland
- Department of Neuroscience and Pharmacology, Faculty of Health Sciences, University of Copenhagen Copenhagen, Denmark
| | - Claus C Hilgetag
- Department of Computational Neuroscience, University Medical Center Hamburg-Eppendorf Hamburg, Germany ; Department of Health Sciences, Boston University Boston, MA, USA
| | - Gustavo Deco
- Department of Technology, University of Pompeu Fabra Barcelona, Spain
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Two-photon voltage imaging using a genetically encoded voltage indicator. Sci Rep 2014; 3:2231. [PMID: 23868559 PMCID: PMC3715760 DOI: 10.1038/srep02231] [Citation(s) in RCA: 56] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2013] [Accepted: 06/21/2013] [Indexed: 11/09/2022] Open
Abstract
Voltage-sensitive fluorescent proteins (VSFPs) are a family of genetically-encoded voltage indicators (GEVIs) reporting membrane voltage fluctuation from genetically-targeted cells in cell cultures to whole brains in awake mice as demonstrated earlier using 1-photon (1P) fluorescence excitation imaging. However, in-vivo 1P imaging captures optical signals only from superficial layers and does not optically resolve single neurons. Two-photon excitation (2P) imaging, on the other hand, has not yet been convincingly applied to GEVI experiments. Here we show that 2P imaging of VSFP Butterfly 1.2 expresssing pyramidal neurons in layer 2/3 reports optical membrane voltage in brain slices consistent with 1P imaging but with a 2-3 larger ΔR/R value. 2P imaging of mouse cortex in-vivo achieved cellular resolution throughout layer 2/3. In somatosensory cortex we recorded sensory responses to single whisker deflections in anesthetized mice at full frame video rate. Our results demonstrate the feasibility of GEVI-based functional 2P imaging in mouse cortex.
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Chandrasekaran L, Xiao Y, Sivaramakrishnan S. Functional architecture of the inferior colliculus revealed with voltage-sensitive dyes. Front Neural Circuits 2013; 7:41. [PMID: 23518906 PMCID: PMC3602642 DOI: 10.3389/fncir.2013.00041] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2012] [Accepted: 02/28/2013] [Indexed: 11/22/2022] Open
Abstract
We used optical imaging with voltage-sensitive dyes to investigate the spatio-temporal dynamics of synaptically evoked activity in brain slices of the inferior colliculus (IC). Responses in transverse slices which preserve cross-frequency connections and in modified sagittal slices that preserve connections within frequency laminae were evoked by activating the lateral lemniscal tract. Comparing activity between small and large populations of cells revealed response areas in the central nucleus of the IC that were similar in magnitude but graded temporally. In transverse sections, these response areas are summed to generate a topographic response profile. Activity through the commissure to the contralateral IC required an excitation threshold that was reached when GABAergic inhibition was blocked. Within laminae, module interaction created temporal homeostasis. Diffuse activity evoked by a single lemniscal shock re-organized into distinct spatial and temporal compartments when stimulus trains were used, and generated a directional activity profile within the lamina. Using different stimulus patterns to activate subsets of microcircuits in the central nucleus of the IC, we found that localized responses evoked by low-frequency stimulus trains spread extensively when train frequency was increased, suggesting recruitment of silent microcircuits. Long stimulus trains activated a circuit specific to post-inhibitory rebound neurons. Rebound microcircuits were defined by a focal point of initiation that spread to an annular ring that oscillated between inhibition and excitation. We propose that much of the computing power of the IC is derived from local circuits, some of which are cell-type specific. These circuits organize activity within and across frequency laminae, and are critical in determining the stimulus-selectivity of auditory coding.
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Affiliation(s)
- Lakshmi Chandrasekaran
- Department of Anatomy and Neurobiology, Northeast Ohio Medical University Rootstown, OH, USA
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Kobayasi KI, Usami A, Riquimaroux H. Behavioral evidence for auditory induction in a species of rodent: Mongolian gerbil (Meriones unguiculatus). THE JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA 2012; 132:4063-4068. [PMID: 23231135 DOI: 10.1121/1.4763546] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
When a segment of sound of interest is interrupted by a loud extraneous noise, humans perceive that the missing sound continues during the intrusive noise. This restoration of auditory information occurs in perceptions of both speech and non-speech sounds (e.g., tone bursts), a phenomenon referred to as auditory induction. In this study, Mongolian gerbils were trained with standard Go/No-Go operant conditioning to discriminate continuous tone bursts (the Go stimulus) from tone bursts with a silent gap in the middle (the No-Go stimulus). Noise was added to Go and No-Go stimuli to determine the condition under which induction would occur. The Mongolian gerbils engaged in Go responses to No-Go stimuli only when the noise spectrally surrounding the tone was of the same duration as the silent portion of the No-Go stimulus; these results match those previously reported in primates (humans and macaque monkeys). The result presents not only the evidence of the auditory induction in a rodent species but also suggests that similar mechanisms for restoring missing sounds are shared among mammals. Additionally, our findings demonstrated that the rodent can serve as a valuable animal model for future studies of perceptual restoration.
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Affiliation(s)
- Kohta I Kobayasi
- Department of Biomedical Information, Faculty of Life and Medical Sciences, Doshisha University, 1-3 Miyakodani, Tatara, Kyotanabe-city, Kyoto, 610-0321, Japan
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