1
|
Huan Y, Tibbetts BN, Richie JM, Chestek CA, Chiel HJ. Intracellular neural control of an active feeding structure in Aplysia using a carbon fiber electrode array. J Neurosci Methods 2024; 404:110077. [PMID: 38336092 PMCID: PMC11136531 DOI: 10.1016/j.jneumeth.2024.110077] [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: 11/10/2023] [Revised: 01/23/2024] [Accepted: 02/05/2024] [Indexed: 02/12/2024]
Abstract
BACKGROUND To study neural control of behavior, intracellular recording and stimulation of many neurons in freely moving animals would be ideal. However, current technologies limit the number of neurons that can be monitored and manipulated. A new technology has become available for intracellular recording and stimulation which we demonstrate in the tractable nervous system of Aplysia. NEW METHOD Carbon fiber electrode arrays (whose tips are coated with platinum-iridium) were used with an in vitro feeding preparation to intracellularly record from and to control the activity of multiple neurons during feeding movements. RESULTS In an in vitro feeding preparation, the carbon fiber electrode arrays recorded action potentials and subthreshold synaptic potentials during feeding movements. Depolarizing or hyperpolarizing currents activated or inhibited identified neurons (respectively), manipulating the movements of the feeding apparatus. COMPARISON WITH EXISTING METHOD(S) Standard glass microelectrodes that are commonly used for intracellular recording are stiff, liable to break in response to movement, and require many micromanipulators to be precisely positioned. In contrast, carbon fiber arrays are less sensitive to movement, but are capable of multiple channels of intracellular recording and stimulation. CONCLUSIONS Carbon fiber arrays are a novel technology for intracellular recording that can be used in moving preparations. They can record both action potentials and synaptic activity in multiple neurons and can be used to stimulate multiple neurons in complex patterns.
Collapse
Affiliation(s)
- Yu Huan
- Department of Biology, Case Western Reserve University, Cleveland, OH 44106-7080, USA
| | - Benjamin N Tibbetts
- Department of Biology, Case Western Reserve University, Cleveland, OH 44106-7080, USA
| | - Julianna M Richie
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA
| | - Cynthia A Chestek
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA
| | - Hillel J Chiel
- Department of Biology, Case Western Reserve University, Cleveland, OH 44106-7080, USA; Department of Neuroscience, Case Western Reserve University, Cleveland, OH 44106-7080, USA; Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH 44106-7080, USA.
| |
Collapse
|
2
|
A Redundant Cortical Code for Speech Envelope. J Neurosci 2023; 43:93-112. [PMID: 36379706 PMCID: PMC9838705 DOI: 10.1523/jneurosci.1616-21.2022] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Revised: 08/19/2022] [Accepted: 10/23/2022] [Indexed: 11/17/2022] Open
Abstract
Animal communication sounds exhibit complex temporal structure because of the amplitude fluctuations that comprise the sound envelope. In human speech, envelope modulations drive synchronized activity in auditory cortex (AC), which correlates strongly with comprehension (Giraud and Poeppel, 2012; Peelle and Davis, 2012; Haegens and Zion Golumbic, 2018). Studies of envelope coding in single neurons, performed in nonhuman animals, have focused on periodic amplitude modulation (AM) stimuli and use response metrics that are not easy to juxtapose with data from humans. In this study, we sought to bridge these fields. Specifically, we looked directly at the temporal relationship between stimulus envelope and spiking, and we assessed whether the apparent diversity across neurons' AM responses contributes to the population representation of speech-like sound envelopes. We gathered responses from single neurons to vocoded speech stimuli and compared them to sinusoidal AM responses in auditory cortex (AC) of alert, freely moving Mongolian gerbils of both sexes. While AC neurons displayed heterogeneous tuning to AM rate, their temporal dynamics were stereotyped. Preferred response phases accumulated near the onsets of sinusoidal AM periods for slower rates (<8 Hz), and an over-representation of amplitude edges was apparent in population responses to both sinusoidal AM and vocoded speech envelopes. Crucially, this encoding bias imparted a decoding benefit: a classifier could discriminate vocoded speech stimuli using summed population activity, while higher frequency modulations required a more sophisticated decoder that tracked spiking responses from individual cells. Together, our results imply that the envelope structure relevant to parsing an acoustic stream could be read-out from a distributed, redundant population code.SIGNIFICANCE STATEMENT Animal communication sounds have rich temporal structure and are often produced in extended sequences, including the syllabic structure of human speech. Although the auditory cortex (AC) is known to play a crucial role in representing speech syllables, the contribution of individual neurons remains uncertain. Here, we characterized the representations of both simple, amplitude-modulated sounds and complex, speech-like stimuli within a broad population of cortical neurons, and we found an overrepresentation of amplitude edges. Thus, a phasic, redundant code in auditory cortex can provide a mechanistic explanation for segmenting acoustic streams like human speech.
Collapse
|
3
|
Wang X, Zhang Y, Zhu L, Bai S, Li R, Sun H, Qi R, Cai R, Li M, Jia G, Cao X, Schriver KE, Li X, Gao L. Selective corticofugal modulation on sound processing in auditory thalamus of awake marmosets. Cereb Cortex 2022; 33:3372-3386. [PMID: 35851798 PMCID: PMC10068278 DOI: 10.1093/cercor/bhac278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 06/25/2022] [Accepted: 06/25/2022] [Indexed: 11/14/2022] Open
Abstract
Abstract
Cortical feedback has long been considered crucial for the modulation of sensory perception and recognition. However, previous studies have shown varying modulatory effects of the primary auditory cortex (A1) on the auditory response of subcortical neurons, which complicate interpretations regarding the function of A1 in sound perception and recognition. This has been further complicated by studies conducted under different brain states. In the current study, we used cryo-inactivation in A1 to examine the role of corticothalamic feedback on medial geniculate body (MGB) neurons in awake marmosets. The primary effects of A1 inactivation were a frequency-specific decrease in the auditory response of most MGB neurons coupled with an increased spontaneous firing rate, which together resulted in a decrease in the signal-to-noise ratio. In addition, we report for the first time that A1 robustly modulated the long-lasting sustained response of MGB neurons, which changed the frequency tuning after A1 inactivation, e.g. some neurons are sharper with corticofugal feedback and some get broader. Taken together, our results demonstrate that corticothalamic modulation in awake marmosets serves to enhance sensory processing in a manner similar to center-surround models proposed in visual and somatosensory systems, a finding which supports common principles of corticothalamic processing across sensory systems.
Collapse
Affiliation(s)
- Xiaohui Wang
- Department of Neurology of the Second Affiliated Hospital , College of Biomedical Engineering and Instrument Science, Interdisciplinary Institute of Neuroscience and Technology, Zhejiang University, School of Medicine, Zhejiang University, 268 Kaixuan Road, Science Building, Room 206, Hangzhou, Zhejiang 310020 , China
| | - Yuanqing Zhang
- Department of Neurology of the Second Affiliated Hospital , College of Biomedical Engineering and Instrument Science, Interdisciplinary Institute of Neuroscience and Technology, Zhejiang University, School of Medicine, Zhejiang University, 268 Kaixuan Road, Science Building, Room 206, Hangzhou, Zhejiang 310020 , China
| | - Lin Zhu
- Department of Neurology of the Second Affiliated Hospital , College of Biomedical Engineering and Instrument Science, Interdisciplinary Institute of Neuroscience and Technology, Zhejiang University, School of Medicine, Zhejiang University, 268 Kaixuan Road, Science Building, Room 206, Hangzhou, Zhejiang 310020 , China
| | - Siyi Bai
- Department of Neurology of the Second Affiliated Hospital , College of Biomedical Engineering and Instrument Science, Interdisciplinary Institute of Neuroscience and Technology, Zhejiang University, School of Medicine, Zhejiang University, 268 Kaixuan Road, Science Building, Room 206, Hangzhou, Zhejiang 310020 , China
| | - Rui Li
- Department of Neurology of the Second Affiliated Hospital , College of Biomedical Engineering and Instrument Science, Interdisciplinary Institute of Neuroscience and Technology, Zhejiang University, School of Medicine, Zhejiang University, 268 Kaixuan Road, Science Building, Room 206, Hangzhou, Zhejiang 310020 , China
| | - Hao Sun
- Department of Neurology of the Second Affiliated Hospital , College of Biomedical Engineering and Instrument Science, Interdisciplinary Institute of Neuroscience and Technology, Zhejiang University, School of Medicine, Zhejiang University, 268 Kaixuan Road, Science Building, Room 206, Hangzhou, Zhejiang 310020 , China
| | - Runze Qi
- Department of Neurology of the Second Affiliated Hospital , College of Biomedical Engineering and Instrument Science, Interdisciplinary Institute of Neuroscience and Technology, Zhejiang University, School of Medicine, Zhejiang University, 268 Kaixuan Road, Science Building, Room 206, Hangzhou, Zhejiang 310020 , China
| | - Ruolan Cai
- Department of Neurology of the Second Affiliated Hospital , College of Biomedical Engineering and Instrument Science, Interdisciplinary Institute of Neuroscience and Technology, Zhejiang University, School of Medicine, Zhejiang University, 268 Kaixuan Road, Science Building, Room 206, Hangzhou, Zhejiang 310020 , China
| | - Min Li
- Division of Psychology , State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, No.19, Xinjiekouwai St, Haidian District, Beijing 100875 , China
| | - Guoqiang Jia
- Department of Neurology of the Second Affiliated Hospital , College of Biomedical Engineering and Instrument Science, Interdisciplinary Institute of Neuroscience and Technology, Zhejiang University, School of Medicine, Zhejiang University, 268 Kaixuan Road, Science Building, Room 206, Hangzhou, Zhejiang 310020 , China
| | - Xinyuan Cao
- Department of Neurology of the Second Affiliated Hospital , College of Biomedical Engineering and Instrument Science, Interdisciplinary Institute of Neuroscience and Technology, Zhejiang University, School of Medicine, Zhejiang University, 268 Kaixuan Road, Science Building, Room 206, Hangzhou, Zhejiang 310020 , China
| | - Kenneth E Schriver
- School of Brain Science and Brain Medicine , Zhejiang University School of Medicine, Hangzhou 310020 , China
| | - Xinjian Li
- Department of Neurology of the Second Affiliated Hospital , College of Biomedical Engineering and Instrument Science, Interdisciplinary Institute of Neuroscience and Technology, Zhejiang University, School of Medicine, Zhejiang University, 268 Kaixuan Road, Science Building, Room 206, Hangzhou, Zhejiang 310020 , China
- Department of Neurobiology , NHC and CAMS Key Laboratory of Medical Neurobiology, School of Brain Science and Brain Medicine, and MOE Frontier Science Center for Brain Science and Brain-machine Integration, Zhejiang University School of Medicine, Hangzhou 310020 , China
| | - Lixia Gao
- Department of Neurology of the Second Affiliated Hospital , College of Biomedical Engineering and Instrument Science, Interdisciplinary Institute of Neuroscience and Technology, Zhejiang University, School of Medicine, Zhejiang University, 268 Kaixuan Road, Science Building, Room 206, Hangzhou, Zhejiang 310020 , China
- Department of Neurobiology , NHC and CAMS Key Laboratory of Medical Neurobiology, School of Brain Science and Brain Medicine, and MOE Frontier Science Center for Brain Science and Brain-machine Integration, Zhejiang University School of Medicine, Hangzhou 310020 , China
| |
Collapse
|
4
|
Wang X, Zhang Y, Bai S, Qi R, Sun H, Li R, Zhu L, Cao X, Jia G, Li X, Gao L. Corticofugal Modulation of Temporal and Rate Representations in the Inferior Colliculus of the Awake Marmoset. Cereb Cortex 2022; 32:4080-4097. [PMID: 35029654 DOI: 10.1093/cercor/bhab467] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Revised: 10/12/2021] [Accepted: 11/16/2021] [Indexed: 11/14/2022] Open
Abstract
Temporal processing is crucial for auditory perception and cognition, especially for communication sounds. Previous studies have shown that the auditory cortex and the thalamus use temporal and rate representations to encode slowly and rapidly changing time-varying sounds. However, how the primate inferior colliculus (IC) encodes time-varying sounds at the millisecond scale remains unclear. In this study, we investigated the temporal processing by IC neurons in awake marmosets to Gaussian click trains with varying interclick intervals (2-100 ms). Strikingly, we found that 28% of IC neurons exhibited rate representation with nonsynchronized responses, which is in sharp contrast to the current view that the IC only uses a temporal representation to encode time-varying signals. Moreover, IC neurons with rate representation exhibited response properties distinct from those with temporal representation. We further demonstrated that reversible inactivation of the primary auditory cortex modulated 17% of the stimulus-synchronized responses and 21% of the nonsynchronized responses of IC neurons, revealing that cortico-colliculus projections play a role, but not a crucial one, in temporal processing in the IC. This study has significantly advanced our understanding of temporal processing in the IC of awake animals and provides new insights into temporal processing from the midbrain to the cortex.
Collapse
Affiliation(s)
- Xiaohui Wang
- Department of Neurology of the Second Affiliated Hospital, Interdisciplinary Institute of Neuroscience and Technology, College of Biomedical Engineering and Instrument Science, School of Medicine, Zhejiang University, Hangzhou 310000, China
| | - Yuanqing Zhang
- Department of Neurology of the Second Affiliated Hospital, Interdisciplinary Institute of Neuroscience and Technology, College of Biomedical Engineering and Instrument Science, School of Medicine, Zhejiang University, Hangzhou 310000, China
| | - Siyi Bai
- Department of Neurology of the Second Affiliated Hospital, Interdisciplinary Institute of Neuroscience and Technology, College of Biomedical Engineering and Instrument Science, School of Medicine, Zhejiang University, Hangzhou 310000, China
| | - Runze Qi
- Department of Neurology of the Second Affiliated Hospital, Interdisciplinary Institute of Neuroscience and Technology, College of Biomedical Engineering and Instrument Science, School of Medicine, Zhejiang University, Hangzhou 310000, China
| | - Hao Sun
- Department of Neurology of the Second Affiliated Hospital, Interdisciplinary Institute of Neuroscience and Technology, College of Biomedical Engineering and Instrument Science, School of Medicine, Zhejiang University, Hangzhou 310000, China
| | - Rui Li
- Department of Neurology of the Second Affiliated Hospital, Interdisciplinary Institute of Neuroscience and Technology, College of Biomedical Engineering and Instrument Science, School of Medicine, Zhejiang University, Hangzhou 310000, China
| | - Lin Zhu
- Department of Neurology of the Second Affiliated Hospital, Interdisciplinary Institute of Neuroscience and Technology, College of Biomedical Engineering and Instrument Science, School of Medicine, Zhejiang University, Hangzhou 310000, China
| | - Xinyuan Cao
- Department of Neurology of the Second Affiliated Hospital, Interdisciplinary Institute of Neuroscience and Technology, College of Biomedical Engineering and Instrument Science, School of Medicine, Zhejiang University, Hangzhou 310000, China
| | - Guoqiang Jia
- Department of Neurology of the Second Affiliated Hospital, Interdisciplinary Institute of Neuroscience and Technology, College of Biomedical Engineering and Instrument Science, School of Medicine, Zhejiang University, Hangzhou 310000, China
| | - Xinjian Li
- Department of Neurology of the Second Affiliated Hospital, Interdisciplinary Institute of Neuroscience and Technology, College of Biomedical Engineering and Instrument Science, School of Medicine, Zhejiang University, Hangzhou 310000, China
| | - Lixia Gao
- Department of Neurology of the Second Affiliated Hospital, Interdisciplinary Institute of Neuroscience and Technology, College of Biomedical Engineering and Instrument Science, School of Medicine, Zhejiang University, Hangzhou 310000, China
| |
Collapse
|
6
|
Song SY, Zhai XM, Dai JH, Lu LL, Shan CJ, Hong J, Cao JL, Zhang LC. The CSF-Contacting Nucleus Receives Anatomical Inputs From the Cerebral Cortex: A Combination of Retrograde Tracing and 3D Reconstruction Study in Rat. Front Neuroanat 2020; 14:600555. [PMID: 33328908 PMCID: PMC7714914 DOI: 10.3389/fnana.2020.600555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2020] [Accepted: 10/22/2020] [Indexed: 11/13/2022] Open
Abstract
Objective This study aimed to investigate the direct monosynaptic projections from cortical functional regions to the cerebrospinal fluid (CSF)-contacting nucleus for understanding the functions of the CSF-contacting nucleus. Methods The Sprague-Dawley rats received cholera toxin B subunit (CB) injections into the CSF-contacting nucleus. After 7-10 days of survival time, the rats were perfused, and the whole brain and spinal cord were sliced under a freezing microtome at 40 μm. All sections were treated with the CB immunofluorescence reaction. The retrogradely labeled neurons in different cortical areas were revealed under a confocal microscope. The distribution features were further illustrated under 3D reconstruction. Results The retrogradely labeled neurons were identified in the olfactory, orbital, cingulate, insula, retrosplenial, somatosensory, motor, visual, auditory, association, rhinal, and parietal cortical areas. A total of 12 functional areas and 34 functional subregions showed projections to the CSF-contacting nucleus in different cell intensities. Conclusion According to the connectivity patterns, we conclude that the CSF-contacting nucleus participates in cognition, emotion, pain, visceral activity, etc. The present study firstly reveals the cerebral cortex→CSF-contacting nucleus connections, which implies the multiple functions of this special nucleus in neural and body fluid regulations.
Collapse
Affiliation(s)
- Si-Yuan Song
- Jiangsu Province Key Laboratory of Anesthesiology, Xuzhou Medical University, Xuzhou, China
| | - Xiao-Meng Zhai
- Jiangsu Province Key Laboratory of Anesthesiology, Xuzhou Medical University, Xuzhou, China
| | - Jia-Hao Dai
- Jiangsu Province Key Laboratory of Anesthesiology, Xuzhou Medical University, Xuzhou, China
| | - Lei-Lei Lu
- Jiangsu Province Key Laboratory of Anesthesiology, Xuzhou Medical University, Xuzhou, China
| | - Cheng-Jing Shan
- Jiangsu Province Key Laboratory of Anesthesiology, Xuzhou Medical University, Xuzhou, China
| | - Jia Hong
- Jiangsu Province Key Laboratory of Anesthesiology, Xuzhou Medical University, Xuzhou, China
| | - Jun-Li Cao
- Jiangsu Province Key Laboratory of Anesthesiology, Xuzhou Medical University, Xuzhou, China
| | - Li-Cai Zhang
- Jiangsu Province Key Laboratory of Anesthesiology, Xuzhou Medical University, Xuzhou, China
| |
Collapse
|