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Zhang L, Nagel M, Olson WP, Chesler AT, O'Connor DH. Trigeminal innervation and tactile responses in mouse tongue. bioRxiv 2024:2023.08.17.553449. [PMID: 37645855 PMCID: PMC10462066 DOI: 10.1101/2023.08.17.553449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Abstract
The mammalian tongue is richly innervated with somatosensory, gustatory and motor fibers. These form the basis of many ethologically important functions such as eating, speaking and social grooming. Despite its high tactile acuity and sensitivity, the neural basis of tongue mechanosensation remains largely mysterious. Here we explored the organization of mechanosensory afferents in the tongue and found that each lingual papilla is innervated by Piezo2 + trigeminal neurons. Notably, each fungiform papilla contained highly specialized ring-like sensory neuron terminations that asymmetrically circumscribe the taste buds. Myelinated lingual afferents in the mouse lingual papillae did not form corpuscular sensory end organs but rather had only free nerve endings. In vivo single-unit recordings from the trigeminal ganglion revealed lingual low-threshold mechanoreceptors (LTMRs) with conduction velocities in the Aδ range or above and distinct adaptation properties ranging from intermediately adapting (IA) to rapidly adapting (RA). IA units were sensitive to both static indentation and stroking, while RA units had a preference for tangential forces applied by stroking. Lingual LTMRs were not directly responsive to rapid cooling or chemicals that can induce astringent or numbing sensations. Sparse labeling of lingual afferents in the tongue revealed distinct terminal morphologies and innervation patterns in fungiform and filiform papillae. Together, our results indicate that fungiform papillae are mechanosensory structures, while suggesting a simple model that links the functional and anatomical properties of tactile sensory neurons in the tongue.
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2
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Finkel EA, Chang YT, Dasgupta R, Lubin EE, Xu D, Minamisawa G, Chang AJ, Cohen JY, O'Connor DH. Tactile processing in mouse cortex depends on action context. Cell Rep 2024; 43:113991. [PMID: 38573855 PMCID: PMC11097894 DOI: 10.1016/j.celrep.2024.113991] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2019] [Revised: 12/08/2023] [Accepted: 03/07/2024] [Indexed: 04/06/2024] Open
Abstract
The brain receives constant tactile input, but only a subset guides ongoing behavior. Actions associated with tactile stimuli thus endow them with behavioral relevance. It remains unclear how the relevance of tactile stimuli affects processing in the somatosensory (S1) cortex. We developed a cross-modal selection task in which head-fixed mice switched between responding to tactile stimuli in the presence of visual distractors or to visual stimuli in the presence of tactile distractors using licking movements to the left or right side in different blocks of trials. S1 spiking encoded tactile stimuli, licking actions, and direction of licking in response to tactile but not visual stimuli. Bidirectional optogenetic manipulations showed that sensory-motor activity in S1 guided behavior when touch but not vision was relevant. Our results show that S1 activity and its impact on behavior depend on the actions associated with a tactile stimulus.
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Affiliation(s)
- Eric A Finkel
- Solomon H. Snyder Department of Neuroscience, Krieger Mind/Brain Institute, Kavli Neuroscience Discovery Institute, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Yi-Ting Chang
- Solomon H. Snyder Department of Neuroscience, Krieger Mind/Brain Institute, Kavli Neuroscience Discovery Institute, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Rajan Dasgupta
- Solomon H. Snyder Department of Neuroscience, Krieger Mind/Brain Institute, Kavli Neuroscience Discovery Institute, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Emily E Lubin
- Solomon H. Snyder Department of Neuroscience, Krieger Mind/Brain Institute, Kavli Neuroscience Discovery Institute, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Duo Xu
- Solomon H. Snyder Department of Neuroscience, Krieger Mind/Brain Institute, Kavli Neuroscience Discovery Institute, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Genki Minamisawa
- Solomon H. Snyder Department of Neuroscience, Krieger Mind/Brain Institute, Kavli Neuroscience Discovery Institute, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Anna J Chang
- Solomon H. Snyder Department of Neuroscience, Krieger Mind/Brain Institute, Kavli Neuroscience Discovery Institute, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Jeremiah Y Cohen
- Solomon H. Snyder Department of Neuroscience, Krieger Mind/Brain Institute, Kavli Neuroscience Discovery Institute, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Daniel H O'Connor
- Solomon H. Snyder Department of Neuroscience, Krieger Mind/Brain Institute, Kavli Neuroscience Discovery Institute, Johns Hopkins University, Baltimore, MD 21218, USA.
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3
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Tsytsarev V, Plachez C, Zhao S, O'Connor DH, Erzurumlu RS. Bilateral Whisker Representations in the Primary Somatosensory Cortex in Robo3cKO Mice Are Reflected in the Primary Motor Cortex. Neuroscience 2024; 544:128-137. [PMID: 38447690 DOI: 10.1016/j.neuroscience.2024.02.031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 02/09/2024] [Accepted: 02/28/2024] [Indexed: 03/08/2024]
Abstract
In Robo3cKO mice, midline crossing defects of the trigeminothalamic projections from the trigeminal principal sensory nucleus result in bilateral whisker maps in the somatosensory thalamus and consequently in the face representation area of the primary somatosensory (S1) cortex (Renier et al., 2017; Tsytsarev et al., 2017). We investigated whether this bilateral sensory representation in the whisker-barrel cortex is also reflected in the downstream projections from the S1 to the primary motor (M1) cortex. To label these projections, we injected anterograde viral axonal tracer in S1 cortex. Corticocortical projections from the S1 distribute to similar areas across the ipsilateral hemisphere in control and Robo3cKO mice. Namely, in both genotypes they extend to the M1, premotor/prefrontal cortex (PMPF), secondary somatosensory (S2) cortex. Next, we performed voltage-sensitive dye imaging (VSDi) in the left hemisphere following ipsilateral and contralateral single whisker stimulation. While controls showed only activation in the contralateral whisker barrel cortex and M1 cortex, the Robo3cKO mouse left hemisphere was activated bilaterally in both the barrel cortex and the M1 cortex. We conclude that the midline crossing defect of the trigeminothalamic projections leads to bilateral whisker representations not only in the thalamus and the S1 cortex but also downstream from the S1, in the M1 cortex.
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Affiliation(s)
- Vassiliy Tsytsarev
- Department of Neurobiology, University of Maryland School of Medicine, 20 Penn St, HSF-2, Baltimore, MD 21201, USA.
| | - Céline Plachez
- Department of Neurobiology, University of Maryland School of Medicine, 20 Penn St, HSF-2, Baltimore, MD 21201, USA.
| | - Shuxin Zhao
- Department of Neurobiology, University of Maryland School of Medicine, 20 Penn St, HSF-2, Baltimore, MD 21201, USA.
| | - Daniel H O'Connor
- The Zanvyl Krieger Mind/Brain Institute, The Johns Hopkins University, 3400 N. Charles Street, 338 Krieger Hall, Baltimore, MD 21218, USA.
| | - Reha S Erzurumlu
- Department of Neurobiology, University of Maryland School of Medicine, 20 Penn St, HSF-2, Baltimore, MD 21201, USA.
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4
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Megemont M, Tortorelli LS, McBurney-Lin J, Cohen JY, O'Connor DH, Yang H. Simultaneous recordings of pupil size variation and locus coeruleus activity in mice. STAR Protoc 2024; 5:102785. [PMID: 38127625 PMCID: PMC10772391 DOI: 10.1016/j.xpro.2023.102785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 11/03/2023] [Accepted: 12/01/2023] [Indexed: 12/23/2023] Open
Abstract
An extensive literature describes how pupil size reflects neuromodulatory activity, including the noradrenergic system. Here, we present a protocol for the simultaneous recording of optogenetically identified locus coeruleus (LC) units and pupil diameter in mice under different conditions. We describe steps for building an optrode, performing surgery to implant the optrode and headpost, searching for opto-tagged LC units, and performing dual LC-pupil recording. We then detail procedures for data processing and analysis. For complete details on the use and execution of this protocol, please refer to Megemont et al.1.
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Affiliation(s)
- Marine Megemont
- Department of Molecular, Cell and Systems Biology, University of California, Riverside, Riverside, CA 92521, USA.
| | - Lucas S Tortorelli
- Department of Molecular, Cell and Systems Biology, University of California, Riverside, Riverside, CA 92521, USA
| | - Jim McBurney-Lin
- Department of Molecular, Cell and Systems Biology, University of California, Riverside, Riverside, CA 92521, USA; Neuroscience Graduate Program, University of California, Riverside, Riverside, CA 92521, USA
| | - Jeremiah Y Cohen
- Solomon H. Snyder Department of Neuroscience & Krieger Mind/Brain Institute, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Daniel H O'Connor
- Solomon H. Snyder Department of Neuroscience & Krieger Mind/Brain Institute, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Hongdian Yang
- Department of Molecular, Cell and Systems Biology, University of California, Riverside, Riverside, CA 92521, USA; Neuroscience Graduate Program, University of California, Riverside, Riverside, CA 92521, USA.
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5
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Chang YT, Finkel EA, Xu D, O'Connor DH. Rule-based modulation of a sensorimotor transformation across cortical areas. bioRxiv 2024:2023.08.21.554194. [PMID: 37662301 PMCID: PMC10473613 DOI: 10.1101/2023.08.21.554194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/05/2023]
Abstract
Flexible responses to sensory stimuli based on changing rules are critical for adapting to a dynamic environment. However, it remains unclear how the brain encodes rule information and uses this information to guide behavioral responses to sensory stimuli. Here, we made single-unit recordings while head-fixed mice performed a cross-modal sensory selection task in which they switched between two rules in different blocks of trials: licking in response to tactile stimuli applied to a whisker while rejecting visual stimuli, or licking to visual stimuli while rejecting the tactile stimuli. Along a cortical sensorimotor processing stream including the primary (S1) and secondary (S2) somatosensory areas, and the medial (MM) and anterolateral (ALM) motor areas, the single-trial activity of individual neurons distinguished between the two rules both prior to and in response to the tactile stimulus. Variable rule-dependent responses to identical stimuli could in principle occur via appropriate configuration of pre-stimulus preparatory states of a neural population, which would shape the subsequent response. We hypothesized that neural populations in S1, S2, MM and ALM would show preparatory activity states that were set in a rule-dependent manner to cause processing of sensory information according to the current rule. This hypothesis was supported for the motor cortical areas by findings that (1) the current task rule could be decoded from pre-stimulus population activity in ALM and MM; (2) neural subspaces containing the population activity differed between the two rules; and (3) optogenetic disruption of pre-stimulus states within ALM and MM impaired task performance. Our findings indicate that flexible selection of an appropriate action in response to a sensory input can occur via configuration of preparatory states in the motor cortex.
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Kleinfeld D, Deschênes M, Economo MN, Elbaz M, Golomb D, Liao SM, O'Connor DH, Wang F. Low- and high-level coordination of orofacial motor actions. Curr Opin Neurobiol 2023; 83:102784. [PMID: 37757586 PMCID: PMC11034851 DOI: 10.1016/j.conb.2023.102784] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 08/24/2023] [Accepted: 08/25/2023] [Indexed: 09/29/2023]
Abstract
Orofacial motor actions are movements that, in rodents, involve whisking of the vibrissa, deflection of the nose, licking and lapping with the tongue, and consumption through chewing. These actions, along with bobbing and turning of the head, coordinate to subserve exploration while not conflicting with life-supporting actions such as breathing and swallowing. Orofacial and head movements are comprised of two additive components: a rhythm that can be entrained by the breathing oscillator and a broadband component that directs the actuator to the region of interest. We focus on coordinating the rhythmic component of actions into a behavior. We hypothesize that the precise timing of each constituent action is continually adjusted through the merging of low-level oscillator input with sensory-derived, high-level rhythmic feedback. Supporting evidence is discussed.
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Affiliation(s)
- David Kleinfeld
- Department of Physics, University of California at San Diego, La Jolla, CA 92093, USA; Department of Neurobiology, University of California at San Diego, La Jolla, CA 92093, USA.
| | - Martin Deschênes
- Department of Psychiatry and Neuroscience, Laval University, Québec City, G1J 2R3 Canada
| | - Michael N Economo
- Department of Bioengineering, Boston University, Boston, MA 02215, USA
| | - Michaël Elbaz
- Department of Neurobiology, Northwestern University, Evanston, IL 60208, USA
| | - David Golomb
- Department of Physiology and Cell Biology, Ben Gurion University, Be'er-Sheba 8410501, Israel; Department of Physics, Ben Gurion University, Be'er-Sheba 8410501, Israel
| | - Song-Mao Liao
- Department of Physics, University of California at San Diego, La Jolla, CA 92093, USA
| | - Daniel H O'Connor
- Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Zynval Krieger Mind/Brain Institute, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Fan Wang
- Department of Brain and Cognitive Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; McGovern Institute, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
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7
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Olson W, Zhang L, O'Connor DH, Kleinfeld D. Elephant trunks: Strength and dexterity from mini-fascicles. Curr Biol 2023; 33:R1203-R1205. [PMID: 37989101 PMCID: PMC11039408 DOI: 10.1016/j.cub.2023.10.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2023]
Abstract
Muscular hydrostats, such as the elephant trunk, can perform precise motor actions. A new study has revealed that the elephant trunk contains a dense network of tiny muscle fascicles, suggesting that muscle miniaturization may be a key toward understanding how soft organs achieve both strength and dexterity.
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Affiliation(s)
- William Olson
- Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Zanvyl Krieger Mind/Brain Institute, Johns Hopkins University, Baltimore, MD 21218, USA.
| | - Linghua Zhang
- Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Zanvyl Krieger Mind/Brain Institute, Johns Hopkins University, Baltimore, MD 21218, USA.
| | - Daniel H O'Connor
- Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Zanvyl Krieger Mind/Brain Institute, Johns Hopkins University, Baltimore, MD 21218, USA.
| | - David Kleinfeld
- Department of Physics, University of California at San Diego, La Jolla, CA 92093, USA; Department of Neurobiology, University of California at San Diego, La Jolla, CA 92093, USA.
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8
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Wyche IS, O'Connor DH. Spike timing-based regulation of thalamocortical signaling. Neuron 2022; 110:2707-2709. [PMID: 36076335 DOI: 10.1016/j.neuron.2022.08.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
For decades, thalamic burst and tonic spiking modes have been theorized to regulate sensory signaling in the thalamocortical circuit. In this issue of Neuron, Borden et al. demonstrate a timing-based mechanism by which thalamic spiking mode controls sensory responses in the awake cortex.
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Affiliation(s)
- Isis S Wyche
- The Solomon H. Snyder Department of Neuroscience, Zanvyl Krieger Mind/Brain Institute, Kavli Neuroscience Discovery Institute, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Daniel H O'Connor
- The Solomon H. Snyder Department of Neuroscience, Zanvyl Krieger Mind/Brain Institute, Kavli Neuroscience Discovery Institute, Johns Hopkins University, Baltimore, MD 21218, USA.
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9
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Tsytsarev V, Kwon SE, Plachez C, Zhao S, O'Connor DH, Erzurumlu RS. Layers 3 and 4 Neurons of the Bilateral Whisker-Barrel Cortex. Neuroscience 2022; 494:140-151. [PMID: 35598701 PMCID: PMC9884091 DOI: 10.1016/j.neuroscience.2022.05.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 05/11/2022] [Accepted: 05/13/2022] [Indexed: 01/31/2023]
Abstract
In Robo3R3-5cKO mouse brain, rhombomere 3-derived trigeminal principal nucleus (PrV) neurons project bilaterally to the somatosensory thalamus. As a consequence, whisker-specific neural modules (barreloids and barrels) representing whiskers on both sides of the face develop in the sensory thalamus and the primary somatosensory cortex. We examined the morphological complexity of layer 4 barrel cells, their postsynaptic partners in layer 3, and functional specificity of layer 3 pyramidal cells. Layer 4 spiny stellate cells form much smaller barrels and their dendritic fields are more focalized and less complex compared to controls, while layer 3 pyramidal cells did not show notable differences. Using in vivo 2-photon imaging of a genetically encoded fluorescent [Ca2+] sensor, we visualized neural activity in the normal and Robo3R3-5cKO barrel cortex in response to ipsi- and contralateral single whisker stimulation. Layer 3 neurons in control animals responded only to their contralateral whiskers, while in the mutant cortex layer 3 pyramidal neurons showed both ipsi- and contralateral whisker responses. These results indicate that bilateral whisker map inputs stimulate different but neighboring groups of layer 3 neurons which normally relay contralateral whisker-specific information to other cortical areas.
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Affiliation(s)
- Vassiliy Tsytsarev
- Department of Anatomy and Neurobiology, University of Maryland School of Medicine, Baltimore 20 Penn St, HSF-2, 21201 MD, Baltimore, United States.
| | - Sung E Kwon
- Department of Neuroscience, John Hopkins School of Medicine, 855 N. Wolfe Street, Rangos 295, Baltimore, MD 21205, United States.
| | - Celine Plachez
- Department of Anatomy and Neurobiology, University of Maryland School of Medicine, Baltimore 20 Penn St, HSF-2, 21201 MD, Baltimore, United States.
| | - Shuxin Zhao
- Department of Anatomy and Neurobiology, University of Maryland School of Medicine, Baltimore 20 Penn St, HSF-2, 21201 MD, Baltimore, United States.
| | - Daniel H O'Connor
- Department of Neuroscience and Krieger Mind/Brain Institute Johns Hopkins University, 3400 N Charles St, 338 Krieger Hall, Baltimore, MD 21218, United States.
| | - Reha S Erzurumlu
- Department of Anatomy and Neurobiology, University of Maryland School of Medicine, Baltimore 20 Penn St, HSF-2, 21201 MD, Baltimore, United States.
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10
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Xu D, Dong M, Chen Y, Delgado AM, Hughes NC, Zhang L, O'Connor DH. Cortical processing of flexible and context-dependent sensorimotor sequences. Nature 2022; 603:464-469. [PMID: 35264793 PMCID: PMC9109820 DOI: 10.1038/s41586-022-04478-7] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2020] [Accepted: 01/26/2022] [Indexed: 11/08/2022]
Abstract
The brain generates complex sequences of movements that can be flexibly configured based on behavioural context or real-time sensory feedback1, but how this occurs is not fully understood. Here we developed a 'sequence licking' task in which mice directed their tongue to a target that moved through a series of locations. Mice could rapidly branch the sequence online based on tactile feedback. Closed-loop optogenetics and electrophysiology revealed that the tongue and jaw regions of the primary somatosensory (S1TJ) and motor (M1TJ) cortices2 encoded and controlled tongue kinematics at the level of individual licks. By contrast, the tongue 'premotor' (anterolateral motor) cortex3-10 encoded latent variables including intended lick angle, sequence identity and progress towards the reward that marked successful sequence execution. Movement-nonspecific sequence branching signals occurred in the anterolateral motor cortex and M1TJ. Our results reveal a set of key cortical areas for flexible and context-informed sequence generation.
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Affiliation(s)
- Duo Xu
- The Solomon H. Snyder Department of Neuroscience, Krieger Mind/Brain Institute, Kavli Neuroscience Discovery Institute, Brain Science Institute, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Mingyuan Dong
- The Solomon H. Snyder Department of Neuroscience, Krieger Mind/Brain Institute, Kavli Neuroscience Discovery Institute, Brain Science Institute, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Yuxi Chen
- Undergraduate Studies, Krieger School of Arts and Sciences, Johns Hopkins University, Baltimore, MD, USA
| | - Angel M Delgado
- Undergraduate Studies, Krieger School of Arts and Sciences, Johns Hopkins University, Baltimore, MD, USA
| | - Natasha C Hughes
- Undergraduate Studies, Krieger School of Arts and Sciences, Johns Hopkins University, Baltimore, MD, USA
| | - Linghua Zhang
- The Solomon H. Snyder Department of Neuroscience, Krieger Mind/Brain Institute, Kavli Neuroscience Discovery Institute, Brain Science Institute, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Daniel H O'Connor
- The Solomon H. Snyder Department of Neuroscience, Krieger Mind/Brain Institute, Kavli Neuroscience Discovery Institute, Brain Science Institute, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
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11
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O'Connor DH, Krubitzer L, Bensmaia S. Of mice and monkeys: Somatosensory processing in two prominent animal models. Prog Neurobiol 2021; 201:102008. [PMID: 33587956 PMCID: PMC8096687 DOI: 10.1016/j.pneurobio.2021.102008] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Revised: 12/26/2020] [Accepted: 02/07/2021] [Indexed: 11/20/2022]
Abstract
Our understanding of the neural basis of somatosensation is based largely on studies of the whisker system of mice and rats and the hands of macaque monkeys. Results across these animal models are often interpreted as providing direct insight into human somatosensation. Work on these systems has proceeded in parallel, capitalizing on the strengths of each model, but has rarely been considered as a whole. This lack of integration promotes a piecemeal understanding of somatosensation. Here, we examine the functions and morphologies of whiskers of mice and rats, the hands of macaque monkeys, and the somatosensory neuraxes of these three species. We then discuss how somatosensory information is encoded in their respective nervous systems, highlighting similarities and differences. We reflect on the limitations of these models of human somatosensation and consider key gaps in our understanding of the neural basis of somatosensation.
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Affiliation(s)
- Daniel H O'Connor
- Solomon H. Snyder Department of Neuroscience, Kavli Neuroscience Discovery Institute, Johns Hopkins University School of Medicine, United States; Zanvyl Krieger Mind/Brain Institute, Johns Hopkins University, United States
| | - Leah Krubitzer
- Department of Psychology and Center for Neuroscience, University of California at Davis, United States
| | - Sliman Bensmaia
- Department of Organismal Biology and Anatomy, University of Chicago, United States; Committee on Computational Neuroscience, University of Chicago, United States; Grossman Institute for Neuroscience, Quantitative Biology, and Human Behavior, University of Chicago, United States.
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12
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Yang H, Bari BA, Cohen JY, O'Connor DH. Locus coeruleus spiking differently correlates with S1 cortex activity and pupil diameter in a tactile detection task. eLife 2021; 10:64327. [PMID: 33721552 PMCID: PMC7963470 DOI: 10.7554/elife.64327] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Accepted: 03/02/2021] [Indexed: 01/03/2023] Open
Abstract
We examined the relationships between activity in the locus coeruleus (LC), activity in the primary somatosensory cortex (S1), and pupil diameter in mice performing a tactile detection task. While LC spiking consistently preceded S1 membrane potential depolarization and pupil dilation, the correlation between S1 and pupil was more heterogeneous. Furthermore, the relationships between LC, S1, and pupil varied on timescales of sub-seconds to seconds within trials. Our data suggest that pupil diameter can be dissociated from LC spiking and cannot be used as a stationary index of LC activity.
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Affiliation(s)
- Hongdian Yang
- Department of Molecular, Cell and Systems Biology, University of California, Riverside, Riverside, United States
| | - Bilal A Bari
- Department of Neuroscience, Brain Science Institute, and Kavli Neuroscience Discovery Institute, Johns Hopkins School of Medicine, Baltimore, United States
| | - Jeremiah Y Cohen
- Department of Neuroscience, Brain Science Institute, and Kavli Neuroscience Discovery Institute, Johns Hopkins School of Medicine, Baltimore, United States
| | - Daniel H O'Connor
- Department of Neuroscience, Brain Science Institute, and Kavli Neuroscience Discovery Institute, Johns Hopkins School of Medicine, Baltimore, United States
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13
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Zhang M, Kwon SE, Ben-Johny M, O'Connor DH, Issa JB. Spectral hallmark of auditory-tactile interactions in the mouse somatosensory cortex. Commun Biol 2020; 3:64. [PMID: 32047263 PMCID: PMC7012892 DOI: 10.1038/s42003-020-0788-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2019] [Accepted: 01/22/2020] [Indexed: 11/08/2022] Open
Abstract
To synthesize a coherent representation of the external world, the brain must integrate inputs across different types of stimuli. Yet the mechanistic basis of this computation at the level of neuronal populations remains obscure. Here, we investigate tactile-auditory integration using two-photon Ca2+ imaging in the mouse primary (S1) and secondary (S2) somatosensory cortices. Pairing sound with whisker stimulation modulates tactile responses in both S1 and S2, with the most prominent modulation being robust inhibition in S2. The degree of inhibition depends on tactile stimulation frequency, with lower frequency responses the most severely attenuated. Alongside these neurons, we identify sound-selective neurons in S2 whose responses are inhibited by high tactile frequencies. These results are consistent with a hypothesized local mutually-inhibitory S2 circuit that spectrally selects tactile versus auditory inputs. Our findings enrich mechanistic understanding of multisensory integration and suggest a key role for S2 in combining auditory and tactile information.
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Affiliation(s)
- Manning Zhang
- Department of Biomedical Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
- Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, 63130, USA
| | - Sung Eun Kwon
- Solomon H. Snyder Department of Neuroscience, The Johns Hopkins University School of Medicine, Kavli Neuroscience Discovery Institute, and Brain Science Institute, Baltimore, MD, 21205, USA
- Department of Molecular, Cellular and Developmental Biology, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Manu Ben-Johny
- Department of Biomedical Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
- Department of Physiology and Cellular Biophysics, Columbia University, New York, NY, 10032, USA
| | - Daniel H O'Connor
- Solomon H. Snyder Department of Neuroscience, The Johns Hopkins University School of Medicine, Kavli Neuroscience Discovery Institute, and Brain Science Institute, Baltimore, MD, 21205, USA
| | - John B Issa
- Department of Biomedical Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
- Department of Neurobiology, Northwestern University, Evanston, IL, 60201, USA.
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Finkel EA, O'Connor DH. Learning Recruits Higher Cortical Areas into Rapid Sensorimotor Streams. Neuron 2019; 97:1-2. [PMID: 29301096 DOI: 10.1016/j.neuron.2017.12.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
How the brain maps sensory information to adaptive behavior remains unresolved. A new study in this issue of Neuron (Le Merre et al., 2017) uncovers learning-related recruitment of higher cortical areas into the rapid sensory processing stream that links a whisker stimulus to rewarded action.
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Affiliation(s)
- Eric A Finkel
- Solomon H. Snyder Department of Neuroscience, Kavli Neuroscience Discovery Institute, Brain Science Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Daniel H O'Connor
- Solomon H. Snyder Department of Neuroscience, Kavli Neuroscience Discovery Institute, Brain Science Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
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15
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Abstract
Active sampling of touch and smell involves coordinated movements first observed in the rat half a century ago. A new study has unveiled the elegant choreography of this facial and head motion during tactile and olfactory exploration.
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Affiliation(s)
- Kyle S Severson
- The Solomon H. Snyder Department of Neuroscience, Kavli Neuroscience Discovery Institute, Brain Science Institute, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - Daniel H O'Connor
- The Solomon H. Snyder Department of Neuroscience, Kavli Neuroscience Discovery Institute, Brain Science Institute, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
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16
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Abstract
Haptic perception synthesizes touch with proprioception, the sense of body position. Humans and mice alike experience rich active touch of the face. Because most facial muscles lack proprioceptor endings, the sensory basis of facial proprioception remains unsolved. Facial proprioception may instead rely on mechanoreceptors that encode both touch and self-motion. In rodents, whisker mechanoreceptors provide a signal that informs the brain about whisker position. Whisking involves coordinated orofacial movements, so mechanoreceptors innervating facial regions other than whiskers could also provide information about whisking. To define all sources of sensory information about whisking available to the brain, we recorded spikes from mechanoreceptors innervating diverse parts of the face. Whisker motion was encoded best by whisker mechanoreceptors, but also by those innervating whisker pad hairy skin and supraorbital vibrissae. Redundant self-motion responses may provide the brain with a stable proprioceptive signal despite mechanical perturbations during active touch.
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Affiliation(s)
- Kyle S Severson
- The Solomon H. Snyder Department of Neuroscience, Kavli Neuroscience Discovery Institute, Brain Science Institute, The Johns Hopkins University School of Medicine, Baltimore, United States
| | - Duo Xu
- The Solomon H. Snyder Department of Neuroscience, Kavli Neuroscience Discovery Institute, Brain Science Institute, The Johns Hopkins University School of Medicine, Baltimore, United States
| | - Hongdian Yang
- The Solomon H. Snyder Department of Neuroscience, Kavli Neuroscience Discovery Institute, Brain Science Institute, The Johns Hopkins University School of Medicine, Baltimore, United States
| | - Daniel H O'Connor
- The Solomon H. Snyder Department of Neuroscience, Kavli Neuroscience Discovery Institute, Brain Science Institute, The Johns Hopkins University School of Medicine, Baltimore, United States
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17
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Burger M, Dreyer D, Fisher RL, Foot D, O'Connor DH, Galante M, Zalgaonkir S. The effectiveness of proprioceptive and neuromuscular training compared to bracing in reducing the recurrence rate of ankle sprains in athletes: A systematic review and meta-analysis. J Back Musculoskelet Rehabil 2018; 31:221-229. [PMID: 29154263 DOI: 10.3233/bmr-170804] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
BACKGROUND Ankle sprains are common musculoskeletal injuries in which the ligaments of the ankle partially or completely tear due to sudden stretching. OBJECTIVES To critically appraise, evaluate and establish the best available evidence to determine the effectiveness of proprioceptive and neuromuscular training (PNT) compared to bracing in reducing the recurrence rate of ankle sprains in athletes. METHODOLOGY The following seven databases were searched in June 2017: PubMed, Cochrane Library, PEDro, ScienceDirect, Scopus, SPORTDiscus, EBSCO Host: CINAHL. The main search terms used were "ankle sprains", "proprioceptive training", "neuromuscular training" and "bracing". The quality of the trials were critically appraised according to the PEDro scale. The RevMan 5© software was used to pool results. RESULTS Three studies met the inclusion criteria and the quality according to the PEDro scale ranged from 4/10-7/10. The pooled data showed no difference between PNT and bracing in reducing the recurrence rate of ankle sprains in athletes at 12 months after initiation of the study. CONCLUSION This systematic review of the overall effect suggested that current evidence (Level II) does not favour the use of PNT over bracing in reducing the recurrence rate of ankle sprains. Physiotherapists are advised to use either PNT or bracing according to the patients preference and their own expertise.
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Kwon SE, Tsytsarev V, Erzurumlu RS, O'Connor DH. Organization of orientation-specific whisker deflection responses in layer 2/3 of mouse somatosensory cortex. Neuroscience 2017; 368:46-56. [PMID: 28827090 DOI: 10.1016/j.neuroscience.2017.07.067] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2017] [Revised: 07/24/2017] [Accepted: 07/27/2017] [Indexed: 11/18/2022]
Abstract
The rodent whisker-barrel system is characterized by its patterned somatotopic mapping between the sensory periphery and multiple regions of the brain. While somatotopy in the whisker system is established, we know far less about how preferences for stimulus orientation or other features are organized. Mouse somatosensation is an increasingly popular model for circuit-based dissection of perceptual decision making and learning, yet our understanding of how stimulus feature representations are organized in the cortex is incomplete. Here, we used in vivo two-photon calcium imaging to monitor activity of populations of layer (L) 2/3 neurons in the mouse primary somatosensory cortex during deflections of a single whisker in two orthogonal orientations (azimuthal or elevational). We split the population response to whisker deflections into an orientation-specific component and a non-specific component that reflected overall excitability in response to deflection of a single whisker. Orientation-specific responses were organized in a locally heterogeneous and spatially distributed manner. Correlations in the stimulus-independent trial-to-trial variability of pairs of neurons were higher among neurons that preferred the same orientation. These correlations depended on similarity in both orientation-specific and non-specific components of responses to single-whisker deflections. Our results shed light on L2/3 organization in mouse somatosensory cortex, and lay a foundation for dissecting circuit mechanisms of perceptual learning and decision-making during orientation discrimination tasks.
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Affiliation(s)
- Sung Eun Kwon
- The Solomon H. Snyder Department of Neuroscience, Kavli Neuroscience Discovery Institute, Brain Science Institute, The Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Vassiliy Tsytsarev
- Department of Anatomy and Neurobiology, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Reha S Erzurumlu
- Department of Anatomy and Neurobiology, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Daniel H O'Connor
- The Solomon H. Snyder Department of Neuroscience, Kavli Neuroscience Discovery Institute, Brain Science Institute, The Johns Hopkins University School of Medicine, Baltimore, MD, United States.
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19
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Severson KS, Xu D, Van de Loo M, Bai L, Ginty DD, O'Connor DH. Active Touch and Self-Motion Encoding by Merkel Cell-Associated Afferents. Neuron 2017; 94:666-676.e9. [PMID: 28434802 DOI: 10.1016/j.neuron.2017.03.045] [Citation(s) in RCA: 66] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2016] [Revised: 02/15/2017] [Accepted: 03/29/2017] [Indexed: 01/12/2023]
Abstract
Touch perception depends on integrating signals from multiple types of peripheral mechanoreceptors. Merkel-cell associated afferents are thought to play a major role in form perception by encoding surface features of touched objects. However, activity of Merkel afferents during active touch has not been directly measured. Here, we show that Merkel and unidentified slowly adapting afferents in the whisker system of behaving mice respond to both self-motion and active touch. Touch responses were dominated by sensitivity to bending moment (torque) at the base of the whisker and its rate of change and largely explained by a simple mechanical model. Self-motion responses encoded whisker position within a whisk cycle (phase), not absolute whisker angle, and arose from stresses reflecting whisker inertia and activity of specific muscles. Thus, Merkel afferents send to the brain multiplexed information about whisker position and surface features, suggesting that proprioception and touch converge at the earliest neural level.
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Affiliation(s)
- Kyle S Severson
- Kavli Neuroscience Discovery Institute, Brain Science Institute, The Solomon H. Snyder Department of Neuroscience, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Neuroscience Training Program, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Duo Xu
- Kavli Neuroscience Discovery Institute, Brain Science Institute, The Solomon H. Snyder Department of Neuroscience, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Neuroscience Training Program, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Margaret Van de Loo
- Kavli Neuroscience Discovery Institute, Brain Science Institute, The Solomon H. Snyder Department of Neuroscience, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Ling Bai
- Department of Neurobiology, Howard Hughes Medical Institute, Harvard Medical School, 220 Longwood Avenue, Boston, MA 02115, USA; Neuroscience Training Program, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - David D Ginty
- Department of Neurobiology, Howard Hughes Medical Institute, Harvard Medical School, 220 Longwood Avenue, Boston, MA 02115, USA
| | - Daniel H O'Connor
- Kavli Neuroscience Discovery Institute, Brain Science Institute, The Solomon H. Snyder Department of Neuroscience, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
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20
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Kwon SE, Yang H, Minamisawa G, O'Connor DH. Sensory and decision-related activity propagate in a cortical feedback loop during touch perception. Nat Neurosci 2016; 19:1243-9. [PMID: 27437910 PMCID: PMC5003632 DOI: 10.1038/nn.4356] [Citation(s) in RCA: 121] [Impact Index Per Article: 15.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2016] [Accepted: 07/05/2016] [Indexed: 12/12/2022]
Abstract
The brain transforms physical sensory stimuli into meaningful perceptions. In animals making choices about sensory stimuli, neuronal activity in successive cortical stages reflects a progression from sensation to decision. Feedforward and feedback pathways connecting cortical areas are critical for this transformation. However, the computational functions of these pathways are poorly understood because pathway-specific activity has rarely been monitored during a perceptual task. Using cellular-resolution, pathway-specific imaging, we measured neuronal activity across primary (S1) and secondary (S2) somatosensory cortices of mice performing a tactile detection task. S1 encoded the stimulus better than S2, while S2 activity more strongly reflected perceptual choice. S1 neurons projecting to S2 fed forward activity that predicted choice. Activity encoding touch and choice propagated in an S1-S2 loop along feedforward and feedback axons. Our results suggest that sensory inputs converge into a perceptual outcome as feedforward computations are reinforced in a feedback loop.
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Affiliation(s)
- Sung Eun Kwon
- The Solomon H. Snyder Department of Neuroscience, Kavli Neuroscience Discovery Institute, Brain Science Institute, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Hongdian Yang
- The Solomon H. Snyder Department of Neuroscience, Kavli Neuroscience Discovery Institute, Brain Science Institute, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Genki Minamisawa
- The Solomon H. Snyder Department of Neuroscience, Kavli Neuroscience Discovery Institute, Brain Science Institute, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Daniel H O'Connor
- The Solomon H. Snyder Department of Neuroscience, Kavli Neuroscience Discovery Institute, Brain Science Institute, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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21
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Yang H, Kwon SE, Severson KS, O'Connor DH. Origins of choice-related activity in mouse somatosensory cortex. Nat Neurosci 2015; 19:127-34. [PMID: 26642088 PMCID: PMC4696889 DOI: 10.1038/nn.4183] [Citation(s) in RCA: 115] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2015] [Accepted: 10/30/2015] [Indexed: 01/02/2023]
Abstract
During perceptual decisions about faint or ambiguous sensory stimuli, even identical stimuli can produce different choices. Spike trains from sensory cortex neurons can predict trial-to-trial variability in choice. Choice-related spiking is widely studied to link cortical activity to perception, but its origins remain unclear. Using imaging and electrophysiology, we found that mouse primary somatosensory cortex neurons showed robust choice-related activity during a tactile detection task. Spike trains from primary mechanoreceptive neurons did not predict choices about identical stimuli. Spike trains from thalamic relay neurons showed highly transient, weak choice-related activity. Intracellular recordings in cortex revealed a prolonged choice-related depolarization in most neurons that was not accounted for by feedforward thalamic input. Top-down axons projecting from secondary to primary somatosensory cortex signaled choice. An intracellular measure of stimulus sensitivity determined which neurons converted choice-related depolarization into spiking. Our results reveal how choice-related spiking emerges across neural circuits and within single neurons.
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Affiliation(s)
- Hongdian Yang
- The Solomon H. Snyder Department of Neuroscience and Brain Science Institute, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Sung E Kwon
- The Solomon H. Snyder Department of Neuroscience and Brain Science Institute, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Kyle S Severson
- The Solomon H. Snyder Department of Neuroscience and Brain Science Institute, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Daniel H O'Connor
- The Solomon H. Snyder Department of Neuroscience and Brain Science Institute, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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22
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Hires SA, Gutnisky DA, Yu J, O'Connor DH, Svoboda K. Low-noise encoding of active touch by layer 4 in the somatosensory cortex. eLife 2015; 4. [PMID: 26245232 PMCID: PMC4525079 DOI: 10.7554/elife.06619] [Citation(s) in RCA: 62] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2015] [Accepted: 07/07/2015] [Indexed: 11/13/2022] Open
Abstract
Cortical spike trains often appear noisy, with the timing and number of spikes varying across repetitions of stimuli. Spiking variability can arise from internal (behavioral state, unreliable neurons, or chaotic dynamics in neural circuits) and external (uncontrolled behavior or sensory stimuli) sources. The amount of irreducible internal noise in spike trains, an important constraint on models of cortical networks, has been difficult to estimate, since behavior and brain state must be precisely controlled or tracked. We recorded from excitatory barrel cortex neurons in layer 4 during active behavior, where mice control tactile input through learned whisker movements. Touch was the dominant sensorimotor feature, with >70% spikes occurring in millisecond timescale epochs after touch onset. The variance of touch responses was smaller than expected from Poisson processes, often reaching the theoretical minimum. Layer 4 spike trains thus reflect the millisecond-timescale structure of tactile input with little noise.
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Affiliation(s)
- Samuel Andrew Hires
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, United States
| | - Diego A Gutnisky
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, United States
| | - Jianing Yu
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, United States
| | - Daniel H O'Connor
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, United States
| | - Karel Svoboda
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, United States
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23
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Affiliation(s)
- Hongdian Yang
- Solomon H. Snyder Department of Neuroscience &Brain Science Institute, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Daniel H O'Connor
- Solomon H. Snyder Department of Neuroscience &Brain Science Institute, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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24
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Kuhlman SJ, O'Connor DH, Fox K, Svoboda K. Structural plasticity within the barrel cortex during initial phases of whisker-dependent learning. J Neurosci 2014; 34:6078-83. [PMID: 24760867 PMCID: PMC3996225 DOI: 10.1523/jneurosci.4919-12.2014] [Citation(s) in RCA: 45] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2012] [Revised: 03/06/2014] [Accepted: 03/23/2014] [Indexed: 11/21/2022] Open
Abstract
We report learning-related structural plasticity in layer 1 branches of pyramidal neurons in the barrel cortex, a known site of sensorimotor integration. In mice learning an active, whisker-dependent object localization task, layer 2/3 neurons showed enhanced spine growth during initial skill acquisition that both preceded and predicted expert performance. Preexisting spines were stabilized and new persistent spines were formed. These findings suggest rapid changes in connectivity between motor centers and sensory cortex guide subsequent sensorimotor learning.
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Affiliation(s)
- Sandra J. Kuhlman
- Janelia Farm Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia 20147
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, and
| | - Daniel H. O'Connor
- Janelia Farm Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia 20147
| | - Kevin Fox
- Janelia Farm Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia 20147
- Cardiff School of Bioscience, Cardiff University, Cardiff CF10 3AX, United Kingdom
| | - Karel Svoboda
- Janelia Farm Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia 20147
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25
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Guo ZV, Hires SA, Li N, O'Connor DH, Komiyama T, Ophir E, Huber D, Bonardi C, Morandell K, Gutnisky D, Peron S, Xu NL, Cox J, Svoboda K. Procedures for behavioral experiments in head-fixed mice. PLoS One 2014; 9:e88678. [PMID: 24520413 PMCID: PMC3919818 DOI: 10.1371/journal.pone.0088678] [Citation(s) in RCA: 232] [Impact Index Per Article: 23.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2013] [Accepted: 12/14/2013] [Indexed: 12/03/2022] Open
Abstract
The mouse is an increasingly prominent model for the analysis of mammalian neuronal circuits. Neural circuits ultimately have to be probed during behaviors that engage the circuits. Linking circuit dynamics to behavior requires precise control of sensory stimuli and measurement of body movements. Head-fixation has been used for behavioral research, particularly in non-human primates, to facilitate precise stimulus control, behavioral monitoring and neural recording. However, choice-based, perceptual decision tasks by head-fixed mice have only recently been introduced. Training mice relies on motivating mice using water restriction. Here we describe procedures for head-fixation, water restriction and behavioral training for head-fixed mice, with a focus on active, whisker-based tactile behaviors. In these experiments mice had restricted access to water (typically 1 ml/day). After ten days of water restriction, body weight stabilized at approximately 80% of initial weight. At that point mice were trained to discriminate sensory stimuli using operant conditioning. Head-fixed mice reported stimuli by licking in go/no-go tasks and also using a forced choice paradigm using a dual lickport. In some cases mice learned to discriminate sensory stimuli in a few trials within the first behavioral session. Delay epochs lasting a second or more were used to separate sensation (e.g. tactile exploration) and action (i.e. licking). Mice performed a variety of perceptual decision tasks with high performance for hundreds of trials per behavioral session. Up to four months of continuous water restriction showed no adverse health effects. Behavioral performance correlated with the degree of water restriction, supporting the importance of controlling access to water. These behavioral paradigms can be combined with cellular resolution imaging, random access photostimulation, and whole cell recordings.
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Affiliation(s)
- Zengcai V. Guo
- Janelia Farm Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia, United States of America
| | - S. Andrew Hires
- Janelia Farm Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia, United States of America
| | - Nuo Li
- Janelia Farm Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia, United States of America
| | - Daniel H. O'Connor
- Janelia Farm Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia, United States of America
| | - Takaki Komiyama
- Janelia Farm Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia, United States of America
| | - Eran Ophir
- Janelia Farm Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia, United States of America
| | - Daniel Huber
- Janelia Farm Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia, United States of America
- Department of Basic Neurosciences, University of Geneva, Geneva, Switzerland
| | - Claudia Bonardi
- Department of Basic Neurosciences, University of Geneva, Geneva, Switzerland
| | - Karin Morandell
- Department of Basic Neurosciences, University of Geneva, Geneva, Switzerland
| | - Diego Gutnisky
- Janelia Farm Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia, United States of America
| | - Simon Peron
- Janelia Farm Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia, United States of America
| | - Ning-long Xu
- Janelia Farm Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia, United States of America
| | - James Cox
- Janelia Farm Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia, United States of America
| | - Karel Svoboda
- Janelia Farm Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia, United States of America
- * E-mail:
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26
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O'Connor DH, Hires SA, Guo ZV, Li N, Yu J, Sun QQ, Huber D, Svoboda K. Neural coding during active somatosensation revealed using illusory touch. Nat Neurosci 2013; 16:958-65. [PMID: 23727820 PMCID: PMC3695000 DOI: 10.1038/nn.3419] [Citation(s) in RCA: 190] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2013] [Accepted: 05/05/2013] [Indexed: 12/14/2022]
Abstract
Active sensation requires the convergence of external stimuli with representations of body movements. We used mouse behavior, electrophysiology and optogenetics to dissect the temporal interactions among whisker movement, neural activity and sensation of touch. We photostimulated layer 4 activity in single barrels in a closed loop with whisking. Mimicking touch-related neural activity caused illusory perception of an object at a particular location, but scrambling the timing of the spikes over one whisking cycle (tens of milliseconds) did not abolish the illusion, indicating that knowledge of instantaneous whisker position is unnecessary for discriminating object locations. The illusions were induced only during bouts of directed whisking, when mice expected touch, and in the relevant barrel. Reducing activity biased behavior, consistent with a spike count code for object detection at a particular location. Our results show that mice integrate coding of touch with movement over timescales of a whisking bout to produce perception of active touch.
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Affiliation(s)
- Daniel H O'Connor
- Janelia Farm Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia, USA
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27
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Civillico EF, Shoham S, O'Connor DH, Sarkisov DV, Wang SSH. Acousto-optical deflector-based patterned ultraviolet uncaging of neurotransmitter for the study of neuronal integration. Cold Spring Harb Protoc 2012; 2012:2012/8/pdb.top070631. [PMID: 22854573 DOI: 10.1101/pdb.top070631] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
The method of patterned photoactivation is a natural fit for the study of neuronal dendritic integration. Photoactivatable molecules that influence a wide range of extracellular and intracellular neurophysiological functions are available. The choice of photosensitive molecules depends on the research question and will influence the design of the experimental apparatus. This article describes an acousto-optical deflector (AOD)-based system for rapid ultraviolet (UV) photolysis in arbitrary spatial and temporal patterns. Some basics of caged neurotransmitters and the theory of operation of AODs are covered, as are descriptions for implementing the system.
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Civillico EF, Shoham S, O'Connor DH, Sarkisov DV, Wang SSH. Construction, alignment, and implementation of an acousto-optical deflector-based system for patterned uncaging with ultraviolet light. Cold Spring Harb Protoc 2012; 2012:2012/8/pdb.prot070649. [PMID: 22854574 DOI: 10.1101/pdb.prot070649] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
The method of patterned photoactivation is a natural fit for the study of neuronal dendritic integration. Photoactivatable molecules that influence a wide range of extracellular and intracellular neurophysiological functions are available. The choice of photosensitive molecules depends on the research question and will influence the design of the experimental apparatus. An acousto-optical deflector (AOD)-based system can be used for rapid ultraviolet (UV) photolysis in arbitrary spatial and temporal patterns. Photolysis-activated "caged" diffusible molecules or newer light-sensitive membrane proteins can be used in this system. This protocol describes the addition of a UV beam for uncaging to a homebuilt two-photon microscope. The goal is to get UV light from the light source (laser) to the approximate center of the objective's back aperture, passing through a pair of perpendicularly oriented AODs along the way. The protocol also describes the fine alignment of the UV beam and the implementation of AOD-based beam steering. Performing the final alignment with the beam passing through the AODs will ensure that the system is optimized for the idiosyncrasies of the crystals.
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Clack NG, O'Connor DH, Huber D, Petreanu L, Hires A, Peron S, Svoboda K, Myers EW. Automated tracking of whiskers in videos of head fixed rodents. PLoS Comput Biol 2012; 8:e1002591. [PMID: 22792058 PMCID: PMC3390361 DOI: 10.1371/journal.pcbi.1002591] [Citation(s) in RCA: 103] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2012] [Accepted: 05/12/2012] [Indexed: 11/29/2022] Open
Abstract
We have developed software for fully automated tracking of vibrissae (whiskers) in high-speed videos (>500 Hz) of head-fixed, behaving rodents trimmed to a single row of whiskers. Performance was assessed against a manually curated dataset consisting of 1.32 million video frames comprising 4.5 million whisker traces. The current implementation detects whiskers with a recall of 99.998% and identifies individual whiskers with 99.997% accuracy. The average processing rate for these images was 8 Mpx/s/cpu (2.6 GHz Intel Core2, 2 GB RAM). This translates to 35 processed frames per second for a 640 px×352 px video of 4 whiskers. The speed and accuracy achieved enables quantitative behavioral studies where the analysis of millions of video frames is required. We used the software to analyze the evolving whisking strategies as mice learned a whisker-based detection task over the course of 6 days (8148 trials, 25 million frames) and measure the forces at the sensory follicle that most underlie haptic perception.
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Affiliation(s)
- Nathan G Clack
- Janelia Farm Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia, United States of America.
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Huber D, Gutnisky DA, Peron S, O'Connor DH, Wiegert JS, Tian L, Oertner TG, Looger LL, Svoboda K. Multiple dynamic representations in the motor cortex during sensorimotor learning. Nature 2012; 484:473-8. [PMID: 22538608 PMCID: PMC4601999 DOI: 10.1038/nature11039] [Citation(s) in RCA: 353] [Impact Index Per Article: 29.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2011] [Accepted: 03/12/2012] [Indexed: 11/09/2022]
Abstract
The mechanisms linking sensation and action during learning are poorly understood. Layer 2/3 neurons in the motor cortex might participate in sensorimotor integration and learning; they receive input from sensory cortex and excite deep layer neurons, which control movement. Here we imaged activity in the same set of layer 2/3 neurons in the motor cortex over weeks, while mice learned to detect objects with their whiskers and report detection with licking. Spatially intermingled neurons represented sensory (touch) and motor behaviours (whisker movements and licking). With learning, the population-level representation of task-related licking strengthened. In trained mice, population-level representations were redundant and stable, despite dynamism of single-neuron representations. The activity of a subpopulation of neurons was consistent with touch driving licking behaviour. Our results suggest that ensembles of motor cortex neurons couple sensory input to multiple, related motor programs during learning.
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Affiliation(s)
- D Huber
- Janelia Farm Research Campus, Howard Hughes Medical Institute, 19700 Helix Drive, Ashburn, Virginia 20147, USA
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31
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O'Connor DH, Peron SP, Huber D, Svoboda K. Neural activity in barrel cortex underlying vibrissa-based object localization in mice. Neuron 2010; 67:1048-61. [PMID: 20869600 DOI: 10.1016/j.neuron.2010.08.026] [Citation(s) in RCA: 328] [Impact Index Per Article: 23.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/05/2010] [Indexed: 11/29/2022]
Abstract
Classical studies have related the spiking of selected neocortical neurons to behavior, but little is known about activity sampled from the entire neural population. We recorded from neurons selected independent of spiking, using cell-attached recordings and two-photon calcium imaging, in the barrel cortex of mice performing an object localization task. Spike rates varied across neurons, from silence to >60 Hz. Responses were diverse, with some neurons showing large increases in spike rate when whiskers contacted the object. Nearly half the neurons discriminated object location; a small fraction of neurons discriminated perfectly. More active neurons were more discriminative. Layer (L) 4 and L5 contained the highest fractions of discriminating neurons (∼63% and 79%, respectively), but a few L2/3 neurons were also highly discriminating. Approximately 13,000 spikes per activated barrel column were available to mice for decision making. Coding of object location in the barrel cortex is therefore highly redundant.
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Affiliation(s)
- Daniel H O'Connor
- Janelia Farm Research Campus, Howard Hughes Medical Institute, 19700 Helix Drive, Ashburn, VA 20147, USA
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32
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O'Connor DH, Clack NG, Huber D, Komiyama T, Myers EW, Svoboda K. Vibrissa-based object localization in head-fixed mice. J Neurosci 2010; 30:1947-67. [PMID: 20130203 PMCID: PMC6634009 DOI: 10.1523/jneurosci.3762-09.2010] [Citation(s) in RCA: 212] [Impact Index Per Article: 15.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2009] [Revised: 12/21/2009] [Accepted: 12/24/2009] [Indexed: 11/21/2022] Open
Abstract
Linking activity in specific cell types with perception, cognition, and action, requires quantitative behavioral experiments in genetic model systems such as the mouse. In head-fixed primates, the combination of precise stimulus control, monitoring of motor output, and physiological recordings over large numbers of trials are the foundation on which many conceptually rich and quantitative studies have been built. Choice-based, quantitative behavioral paradigms for head-fixed mice have not been described previously. Here, we report a somatosensory absolute object localization task for head-fixed mice. Mice actively used their mystacial vibrissae (whiskers) to sense the location of a vertical pole presented to one side of the head and reported with licking whether the pole was in a target (go) or a distracter (no-go) location. Mice performed hundreds of trials with high performance (>90% correct) and localized to <0.95 mm (<6 degrees of azimuthal angle). Learning occurred over 1-2 weeks and was observed both within and across sessions. Mice could perform object localization with single whiskers. Silencing barrel cortex abolished performance to chance levels. We measured whisker movement and shape for thousands of trials. Mice moved their whiskers in a highly directed, asymmetric manner, focusing on the target location. Translation of the base of the whiskers along the face contributed substantially to whisker movements. Mice tended to maximize contact with the go (rewarded) stimulus while minimizing contact with the no-go stimulus. We conjecture that this may amplify differences in evoked neural activity between trial types.
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Affiliation(s)
- Daniel H. O'Connor
- Janelia Farm Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia 20147
| | - Nathan G. Clack
- Janelia Farm Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia 20147
| | - Daniel Huber
- Janelia Farm Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia 20147
| | - Takaki Komiyama
- Janelia Farm Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia 20147
| | - Eugene W. Myers
- Janelia Farm Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia 20147
| | - Karel Svoboda
- Janelia Farm Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia 20147
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33
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Kanthaswamy S, Capitanio JP, Dubay CJ, Ferguson B, Folks T, Ha JC, Hotchkiss CE, Johnson ZP, Katze MG, Kean LS, Kubisch HM, Lank S, Lyons LA, Miller GM, Nylander J, O'Connor DH, Palermo RE, Smith DG, Vallender EJ, Wiseman RW, Rogers J. Resources for genetic management and genomics research on non-human primates at the National Primate Research Centers (NPRCs). J Med Primatol 2010; 38 Suppl 1:17-23. [PMID: 19863674 DOI: 10.1111/j.1600-0684.2009.00371.x] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
The National Primate Research Centers (NPRCs) established Working Groups (WGs) for developing resources and mechanisms to facilitate collaborations among non-human primate (NHP) researchers. Here we report the progress of the Genome Banking and the Genetics and Genomics WGs in developing resources to advance the exchange, analysis and comparison of NHP genetic and genomic data across the NPRCs. The Genome Banking WG has established a National NHP DNA bank comprising 1250 DNA samples from unrelated animals and family trios from the 10 NHP species housed within the NPRC system. The Genetics and Genomics WG is developing SNP arrays that will provide a uniform, highly informative, efficient and low-cost method for rhesus and long-tailed macaque genotyping across the eight NPRCs. This WG is also establishing a Biomedical Informatics Research Network-based portal for shared bioinformatics resources including vital statistics, genotype and population data and information on the National NHP DNA bank.
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Affiliation(s)
- S Kanthaswamy
- Department of Anthropology, University of California-Davis, CA 95616, USA.
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34
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Abstract
Behaviour is governed by activity in highly structured neural circuits. Genetically targeted sensors and switches facilitate measurement and manipulation of activity in vivo, linking activity in defined nodes of neural circuits to behaviour. Because of access to specific cell types, these molecular tools will have the largest impact in genetic model systems such as the mouse. Emerging assays of mouse behaviour are beginning to rival those of behaving monkeys in terms of stimulus and behavioural control. We predict that the confluence of new behavioural and molecular tools in the mouse will reveal the logic of complex mammalian circuits.
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Affiliation(s)
- Daniel H O'Connor
- Janelia Farm Research Campus, Howard Hughes Medical Institute, 19700 Helix Drive, Ashburn, Virginia 20147, USA
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35
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Greene JM, Lhost JJ, Burwitz BJ, O'Connor SL, O'Connor DH. P16-46. CD8+ T cells from nonlymphoid tissues exhibit superior control of SIV replication. Retrovirology 2009. [PMCID: PMC2767776 DOI: 10.1186/1742-4690-6-s3-p275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
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36
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Mao T, O'Connor DH, Scheuss V, Nakai J, Svoboda K. Characterization and subcellular targeting of GCaMP-type genetically-encoded calcium indicators. PLoS One 2008; 3:e1796. [PMID: 18350138 PMCID: PMC2262942 DOI: 10.1371/journal.pone.0001796] [Citation(s) in RCA: 129] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2007] [Accepted: 02/13/2008] [Indexed: 11/28/2022] Open
Abstract
Genetically-encoded calcium indicators (GECIs) hold the promise of monitoring [Ca2+] in selected populations of neurons and in specific cellular compartments. Relating GECI fluorescence to neuronal activity requires quantitative characterization. We have characterized a promising new genetically-encoded calcium indicator—GCaMP2—in mammalian pyramidal neurons. Fluorescence changes in response to single action potentials (17±10% ΔF/F [mean±SD]) could be detected in some, but not all, neurons. Trains of high-frequency action potentials yielded robust responses (302±50% for trains of 40 action potentials at 83 Hz). Responses were similar in acute brain slices from in utero electroporated mice, indicating that long-term expression did not interfere with GCaMP2 function. Membrane-targeted versions of GCaMP2 did not yield larger signals than their non-targeted counterparts. We further targeted GCaMP2 to dendritic spines to monitor Ca2+ accumulations evoked by activation of synaptic NMDA receptors. We observed robust ΔF/F responses (range: 37%–264%) to single spine uncaging stimuli that were correlated with NMDA receptor currents measured through a somatic patch pipette. One major drawback of GCaMP2 was its low baseline fluorescence. Our results show that GCaMP2 is improved from the previous versions of GCaMP and may be suited to detect bursts of high-frequency action potentials and synaptic currents in vivo.
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Affiliation(s)
- Tianyi Mao
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, United States of America
- Howard Hughes Medical Institute, Janelia Farm Research Campus, Ashburn, Virginia, United States of America
| | - Daniel H. O'Connor
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, United States of America
- Howard Hughes Medical Institute, Janelia Farm Research Campus, Ashburn, Virginia, United States of America
| | - Volker Scheuss
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, United States of America
- Howard Hughes Medical Institute, Janelia Farm Research Campus, Ashburn, Virginia, United States of America
| | - Junichi Nakai
- Laboratory for Memory and Learning, RIKEN Brain Science Institute, Wako-shi, Saitama, Japan
| | - Karel Svoboda
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, United States of America
- Howard Hughes Medical Institute, Janelia Farm Research Campus, Ashburn, Virginia, United States of America
- * To whom correspondence should be addressed. E-mail:
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37
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O'Connor DH, Wittenberg GM, Wang SSH. Timing and contributions of pre-synaptic and post-synaptic parameter changes during unitary plasticity events at CA3-CA1 synapses. Synapse 2007; 61:664-78. [PMID: 17503487 DOI: 10.1002/syn.20403] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
At individual synapses, post-synaptic responses include a mixture of "successes" and "failures" in which transmitter is released or not released, respectively. Previously we measured synaptic strength at CA3-CA1 synapses averaged over all trials, including both successes and failures, using an induction protocol that allowed us to observe potentiation and depression events as step-like changes. Here we report quantal properties of 15 of the earlier experiments, including 14 potentiation events and eight depression events. In five experiments both potentiation events and depression events were evoked at the same synapse. During potentiation, success rate increased from 0.56 +/- 0.14 (mean +/- SD) to 0.69 +/- 0.12, and during depression, success rate decreased from 0.70 +/- 0.09 to 0.51 +/- 0.10. During potentiation potency increased from 10 +/- 5 to 19 +/- 9 pA, and during depression, potency decreased from 18 +/- 12 to 12 +/- 7 pA. On average, changes in potency accounted for 76% of the change in response size in potentiation events and 60% of the change in depression events. A reduced-assumption spectral analysis method showed evidence for multiple quantal peaks in distributions of post-synaptic current amplitudes. Consistent with the observed changes in potency, estimated quantal size (Q) increased with potentiation and decreased with depression. A change in potency, which is thought to reflect post-synaptic expression mechanisms, was followed within seconds to minutes by a change in success rate, which is thought to reflect pre-synaptic expression mechanisms. Synaptic plasticity events may therefore consist of changes that occur on both sides of a synapse in a temporally coordinated fashion.
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Affiliation(s)
- Daniel H O'Connor
- Department of Molecular Biology and Program in Neuroscience, Princeton University, Princeton, New Jersey 08544, USA.
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38
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Shoham S, O'Connor DH, Segev R. How silent is the brain: is there a "dark matter" problem in neuroscience? J Comp Physiol A Neuroethol Sens Neural Behav Physiol 2006; 192:777-84. [PMID: 16550391 DOI: 10.1007/s00359-006-0117-6] [Citation(s) in RCA: 127] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2005] [Revised: 02/08/2006] [Accepted: 02/16/2006] [Indexed: 12/21/2022]
Abstract
Evidence from a variety of recording methods suggests that many areas of the brain are far more sparsely active than commonly thought. Here, we review experimental findings pointing to the existence of neurons which fire action potentials rarely or only to very specific stimuli. Because such neurons would be difficult to detect with the most common method of monitoring neural activity in vivo-extracellular electrode recording-they could be referred to as "dark neurons," in analogy to the astrophysical observation that much of the matter in the universe is undetectable, or dark. In addition to discussing the evidence for largely silent neurons, we review technical advances that will ultimately answer the question: how silent is the brain?
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Affiliation(s)
- Shy Shoham
- Faculty of Biomedical Engineering, Technion-Israel Institute of Technology, Technion, Haifa 32000, Israel
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39
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Abstract
The time course of semantic priming between two associated words was tracked using rapid serial visual presentation of two synchronized streams of stimuli appearing at about 20 items/sec, each stream including a target word. The two words were semantically related or unrelated and were separated by stimulus onset asynchronies (SOAs) of 0-213 msec. Accuracy in reporting the first target (T1) versus the second target (T2) has been shown to interact dramatically with SOA over this range. The materials were in English in Experiment 1 and Italian in Experiment 2. T1 was semantically primed only at short SOAs, whereas T2 was primed at all SOAs (Experiment 1) or at all SOAs except the shortest one (Experiment 2). The results indicate a strong competition between target words early in processing, with T2 often becoming the first word identified at short SOAs, thus priming T1.
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Affiliation(s)
- Mary C Potter
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.
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40
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Shoham S, O'Connor DH, Sarkisov DV, Wang SSH. Rapid neurotransmitter uncaging in spatially defined patterns. Nat Methods 2005; 2:837-43. [PMID: 16278654 DOI: 10.1038/nmeth793] [Citation(s) in RCA: 120] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2005] [Accepted: 08/22/2005] [Indexed: 11/09/2022]
Abstract
Light-sensitive 'caged' molecules provide a means of rapidly and noninvasively manipulating biochemical signals with submicron spatial resolution. Here we describe a new optical system for rapid uncaging in arbitrary patterns to emulate complex neural activity. This system uses TeO(2) acousto-optical deflectors to steer an ultraviolet beam rapidly and can uncage at over 20,000 locations per second. The uncaging beam is projected into the focal plane of a two-photon microscope, allowing us to combine patterned uncaging with imaging and electrophysiology. By photolyzing caged neurotransmitter in brain slices we can generate precise, complex activity patterns for dendritic integration. The method can also be used to activate many presynaptic neurons at once. Patterned uncaging opens new vistas in the study of signal integration and plasticity in neuronal circuits and other biological systems.
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Affiliation(s)
- Shy Shoham
- Department of Molecular Biology, Lewis Thomas Laboratory, Washington Road, Princeton University, Princeton, New Jersey 08544, USA
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41
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Abstract
In populations of synapses, overall synaptic strength can undergo either a net strengthening (long-term potentiation) or weakening (long-term depression). These phenomena have distinct induction pathways, but the functional outcome is usually measured as a single lumped quantity. In hippocampal CA3-CA1 synapses, we took two approaches to study the activity dependence of each phenomenon in isolation. First, we selectively blocked one process by applying kinase or phosphatase inhibitors known, respectively, to block potentiation or depression. Second, we saturated depression or potentiation and examined the activity dependence of the converse process. The resulting unidirectional learning rules could be recombined to give a well-known bidirectional frequency-dependent learning rule under the assumption that when both pathways are activated kinases dominate, resulting in potentiation. Saturation experiments revealed an additional process in which potentiated synapses can be locked at high strength. Saturability of the components of plasticity implies that the amount of plasticity contributed by each pathway depends on the initial level of strength of the synapses. Variation in the distribution of initial synaptic strengths predicts a form of metaplasticity and can account for differences in learning rules observed under several physiological and genetic manipulations.
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Affiliation(s)
- Daniel H O'Connor
- Department of Molecular Biology and Program in Neuroscience, Princeton University, Princeton, NJ 08544, USA
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42
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O'Connor DH, Wittenberg GM, Wang SSH. Graded bidirectional synaptic plasticity is composed of switch-like unitary events. Proc Natl Acad Sci U S A 2005; 102:9679-84. [PMID: 15983385 PMCID: PMC1172253 DOI: 10.1073/pnas.0502332102] [Citation(s) in RCA: 176] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2005] [Accepted: 05/20/2005] [Indexed: 11/18/2022] Open
Abstract
Biological information storage events are often rapid transitions between discrete states. In neural systems, the initiation of bidirectional plasticity by all-or-none events may help confer robustness on memory storage. Here, we report that at CA3-CA1 hippocampal synapses, individual potentiation and depression plasticity events are discrete and heterogeneous in nature. Individual synapses began from extreme high and low strength states. Unitary plasticity events were all-or-none and drove synaptic strength between extremes in <1 min. Under naïve conditions, approximately three-fourths of synapses began in a low-strength state. The timing of these unitary events can account for the time course of macroscopic synaptic plasticity.
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Affiliation(s)
- Daniel H O'Connor
- Department of Molecular Biology and Program in Neuroscience, Princeton University, Princeton, NJ 08544, USA
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43
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Abstract
Pictures seen in a rapid sequence are remembered briefly, but most are forgotten within a few seconds (M. C. Potter. A. Staub, J. Rado. & D. H. O'Connor. 2002). The authors investigated the pictorial and conceptual components of this fleeting memory by presenting 5 pictured scenes and immediately testing recognition of verbal titles (e.g., people at a table) or recognition of the pictures themselves. Recognition declined during testing, but initial performance was higher and the decline steeper when pictures were tested. A final experiment included test decoy pictures that were conceptually similar to but visually distinct from the original pictures. Yeses to decoys were higher than yeses to other distractors. Fleeting memory for glimpsed pictures has a strong conceptual component (conceptual short-term memory), but there is additional highly volatile pictorial memory (pictorial short-term memory) that is not tapped hy a gist title or decoy picture.
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Affiliation(s)
- Mary C Potter
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
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44
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Abstract
In the human brain, little is known about the functional anatomy and response properties of subcortical nuclei containing visual maps such as the lateral geniculate nucleus (LGN) and the pulvinar. Using functional magnetic resonance imaging (fMRI) at 3 tesla (T), collective responses of neural populations in the LGN were measured as a function of stimulus contrast and flicker reversal rate and compared with those obtained in visual cortex. Flickering checkerboard stimuli presented in alternation to the right and left hemifields reliably activated the LGN. The peak of the LGN activation was found to be on average within ±2 mm of the anatomical location of the LGN, as identified on high-resolution structural images. In all visual areas except the middle temporal (MT), fMRI responses increased monotonically with stimulus contrast. In the LGN, the dynamic response range of the contrast function was larger and contrast gain was lower than in the cortex. Contrast sensitivity was lowest in the LGN and V1 and increased gradually in extrastriate cortex. In area MT, responses were saturated at 4% contrast. Response modulation by changes in flicker rate was similar in the LGN and V1 and occurred mainly in the frequency range between 0.5 and 7.5 Hz; in contrast, in extrastriate areas V4, V3A, and MT, responses were modulated mainly in the frequency range between 7.5 and 20 Hz. In the human pulvinar, no activations were obtained with the experimental designs used to probe response properties of the LGN. However, regions in the mediodorsal right and left pulvinar were found to be consistently activated by bilaterally presented flickering checkerboard stimuli, when subjects attended to the stimuli. Taken together, our results demonstrate that fMRI at 3 T can be used effectively to study thalamocortical circuits in the human brain.
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Affiliation(s)
- Sabine Kastner
- Department of Psychology, Center for the Study of Brain, Mind, and Behavior, Princeton University, Princeton, New Jersey 08544, USA.
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45
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Abstract
Competition for attention between 2 written words was investigated by presenting the words briefly in a single stream of distractors (Experiment 1) or in different streams (Experiment 2-6), using rapid serial visual presentation at 53 ms/item. Stimulus onset asynchrony (SOA) was varied from 0 to 213 ms. At all SOAs there was strong competition, but which word was more likely to be reported shifted markedly with SOA. At SOAs in the range of 13-53 ms the second word was more likely to be reported, but at 213 ms, the advantage switched to the first word, as in the attentional blink. A 2-stage competition model of attention is proposed in which attention to a detected target is labile in Stage 1. Stage 1 ends when one target is identified, initiating a serial Stage 2 process of consolidation of that target.
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Affiliation(s)
- Mary C Potter
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge 02139, USA.
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46
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Potter MC, Staub A, Rado J, O'Connor DH. Recognition memory for briefly presented pictures: the time course of rapid forgetting. J Exp Psychol Hum Percept Perform 2003. [PMID: 12421062 DOI: 10.1037//0096-1523.28.5.1163] [Citation(s) in RCA: 18] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
When viewing a rapid sequence of pictures, observers momentarily understand the gist of each scene but have poor recognition memory for most of them (M. C. Potter, 1976). Is forgetting immediate, or does some information persist briefly? Sequences of 5 scenes were presented for 173 ms/picture; when yes-no testing began immediately, recognition was initially high but declined markedly during the 10-item test. With testing delays of 2 or 6 s, the decline over testing was less steep. When 10 or 20 pictures were presented, there was again a marked initial decline during testing. A 2-alternative forced-choice recognition test produced similar results. Both the passage of time and test interference (but not presentation interference) led to forgetting. The brief persistence of information may assist in building a coherent representation over several fixations.
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Affiliation(s)
- Mary C Potter
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge 02139, USA.
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47
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O'Connor DH, Fukui MM, Pinsk MA, Kastner S. Attention modulates responses in the human lateral geniculate nucleus. Nat Neurosci 2002; 5:1203-9. [PMID: 12379861 DOI: 10.1038/nn957] [Citation(s) in RCA: 415] [Impact Index Per Article: 18.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2002] [Accepted: 09/17/2002] [Indexed: 11/08/2022]
Abstract
Attentional mechanisms are important for selecting relevant information and filtering out irrelevant information from cluttered visual scenes. Selective attention has previously been shown to affect neural activity in both extrastriate and striate visual cortex. Here, evidence from functional brain imaging shows that attentional response modulation is not confined to cortical processing, but can occur as early as the thalamic level. We found that attention modulated neural activity in the human lateral geniculate nucleus (LGN) in several ways: it enhanced neural responses to attended stimuli, attenuated responses to ignored stimuli and increased baseline activity in the absence of visual stimulation. The LGN, traditionally viewed as the gateway to visual cortex, may also serve as a 'gatekeeper' in controlling attentional response gain.
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Affiliation(s)
- Daniel H O'Connor
- Department of Psychology, Center for the Study of Brain, Mind, and Behavior, Princeton University, Green Hall, Princeton, New Jersey 08544, USA
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48
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Abstract
Competition for attention between 2 written words was investigated by presenting the words briefly in a single stream of distractors (Experiment 1) or in different streams (Experiment 2-6), using rapid serial visual presentation at 53 ms/item. Stimulus onset asynchrony (SOA) was varied from 0 to 213 ms. At all SOAs there was strong competition, but which word was more likely to be reported shifted markedly with SOA. At SOAs in the range of 13-53 ms the second word was more likely to be reported, but at 213 ms, the advantage switched to the first word, as in the attentional blink. A 2-stage competition model of attention is proposed in which attention to a detected target is labile in Stage 1. Stage 1 ends when one target is identified, initiating a serial Stage 2 process of consolidation of that target.
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Affiliation(s)
- Mary C Potter
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge 02139, USA.
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49
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Abstract
When viewing a rapid sequence of pictures, observers momentarily understand the gist of each scene but have poor recognition memory for most of them (M. C. Potter, 1976). Is forgetting immediate, or does some information persist briefly? Sequences of 5 scenes were presented for 173 ms/picture; when yes-no testing began immediately, recognition was initially high but declined markedly during the 10-item test. With testing delays of 2 or 6 s, the decline over testing was less steep. When 10 or 20 pictures were presented, there was again a marked initial decline during testing. A 2-alternative forced-choice recognition test produced similar results. Both the passage of time and test interference (but not presentation interference) led to forgetting. The brief persistence of information may assist in building a coherent representation over several fixations.
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Affiliation(s)
- Mary C Potter
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge 02139, USA.
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50
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Hughes AL, Westover K, da Silva J, O'Connor DH, Watkins DI. Simultaneous positive and purifying selection on overlapping reading frames of the tat and vpr genes of simian immunodeficiency virus. J Virol 2001; 75:7966-72. [PMID: 11483741 PMCID: PMC115040 DOI: 10.1128/jvi.75.17.7966-7972.2001] [Citation(s) in RCA: 59] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2001] [Accepted: 05/27/2001] [Indexed: 11/20/2022] Open
Abstract
Tat-specific cytotoxic T cells have previously been shown to exert positive Darwinian selection favoring amino acid replacements of an epitope of simian immunodeficiency virus (SIV). The region of the tat gene encoding this epitope falls within a region of overlap between the tat and vpr reading frames, and nonsynonymous nucleotide substitutions in the tat reading frame were found to occur disproportionately in such a way as to cause synonymous changes in the vpr reading frame. Comparison of published complete SIV genomes showed Tat to be the least conserved at the amino acid level of nine proteins encoded by the virus, while Vpr was one of the most conserved. Numerous parallel amino acid changes occurred within the Tat epitope independently in different monkeys, and purifying selection on the vpr reading frame, by limiting acceptable nonsynonymous substitutions in the tat reading frame, evidently has enhanced the probability of parallel evolution.
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MESH Headings
- Animals
- Epitopes
- Evolution, Molecular
- Gene Products, tat/chemistry
- Gene Products, tat/genetics
- Gene Products, tat/immunology
- Gene Products, vpr/chemistry
- Gene Products, vpr/genetics
- Gene Products, vpr/immunology
- Genes, tat
- Genes, vpr
- Macaca mulatta
- Open Reading Frames
- Phylogeny
- Selection, Genetic
- Simian Acquired Immunodeficiency Syndrome/virology
- Simian Immunodeficiency Virus/genetics
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Affiliation(s)
- A L Hughes
- Department of Biological Sciences, University of South Carolina, Columbia, South Carolina 29208, USA.
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