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Zaborszky L, Varsanyi P, Alloway K, Chavez C, Gielow M, Gombkoto P, Kondo H, Nadasdy Z. Functional architecture of the forebrain cholinergic system in rodents. RESEARCH SQUARE 2024:rs.3.rs-4504727. [PMID: 38947053 PMCID: PMC11213185 DOI: 10.21203/rs.3.rs-4504727/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/02/2024]
Abstract
The basal forebrain cholinergic system (BFCS) participates in functions that are global across the brain, such as sleep-wake cycles, but also participates in capacities that are more behaviorally and anatomically specific, including sensory perception. To better understand the underlying organization principles of the BFCS, more and higher quality anatomical data and analysis is needed. Here, we created a "virtual Basal Forebrain", combining data from numerous rats with cortical retrograde tracer injections into a common 3D reference coordinate space and developed a "spatial density correlation" methodology to analyze patterns in BFCS cortical projection targets, revealing that the BFCS is organized into three principal networks: somatosensory-motor, auditory, and visual. Within each network, clusters of cholinergic cells with increasing complexity innervate cortical targets. These networks represent hierarchically organized building blocks that may enable the BFCS to coordinate spatially selective signaling, including parallel modulation of multiple functionally interconnected yet diverse groups of cortical areas.
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Affiliation(s)
| | | | | | | | | | - Peter Gombkoto
- Swiss Federal Institute of Technology in Zurich (ETH Zurich)
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2
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Okoro SU, Goz RU, Njeri BW, Harish M, Ruff CF, Ross SE, Gerfen C, Hooks BM. Organization of Cortical and Thalamic Input to Inhibitory Neurons in Mouse Motor Cortex. J Neurosci 2022; 42:8095-8112. [PMID: 36104281 PMCID: PMC9637002 DOI: 10.1523/jneurosci.0950-22.2022] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 09/01/2022] [Accepted: 09/06/2022] [Indexed: 11/21/2022] Open
Abstract
Intracortical inhibition in motor cortex (M1) regulates movement and motor learning. If cortical and thalamic inputs target different inhibitory cell types in different layers, then these afferents may play different roles in regulating M1 output. Using mice of both sexes, we quantified input to two main classes of M1 interneurons, parvalbumin+ (PV+) cells and somatostatin+ (SOM+) cells, using monosynaptic rabies tracing. We then compared anatomic and functional connectivity based on synaptic strength from sensory cortex and thalamus. Functionally, each input innervated M1 interneurons with a unique laminar profile. Different interneuron types were excited in a distinct, complementary manner, suggesting feedforward inhibition proceeds selectively via distinct circuits. Specifically, somatosensory cortex (S1) inputs primarily targeted PV+ neurons in upper layers (L2/3) but SOM+ neurons in middle layers (L5). Somatosensory thalamus [posterior nucleus (PO)] inputs targeted PV+ neurons in middle layers (L5). In contrast to sensory cortical areas, thalamic input to SOM+ neurons was equivalent to that of PV+ neurons. Thus, long-range excitatory inputs target inhibitory neurons in an area and a cell type-specific manner, which contrasts with input to neighboring pyramidal cells. In contrast to feedforward inhibition providing generic inhibitory tone in cortex, circuits are selectively organized to recruit inhibition matched to incoming excitatory circuits.SIGNIFICANCE STATEMENT M1 integrates sensory information and frontal cortical inputs to plan and control movements. Although inputs to excitatory cells are described, the synaptic circuits by which these inputs drive specific types of M1 interneurons are unknown. Anatomical results with rabies tracing and physiological quantification of synaptic strength shows that two main classes of inhibitory cells (PV+ and SOM+ interneurons) both receive substantial cortical and thalamic input, in contrast to interneurons in sensory areas (where thalamic input strongly prefers PV+ interneurons). Further, each input studied targets PV+ and SOM+ interneurons in a different fashion, suggesting that separate, specific circuits exist for recruitment of feedforward inhibition.
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Affiliation(s)
- Sandra U Okoro
- University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15261
| | - Roman U Goz
- University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15261
| | - Brigdet W Njeri
- University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15261
| | - Madhumita Harish
- University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15261
| | - Catherine F Ruff
- University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15261
| | - Sarah E Ross
- University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15261
| | - Charles Gerfen
- National Institute of Mental Health, Bethesda, Maryland 20892
| | - Bryan M Hooks
- University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15261
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3
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Singh T, Batabyal T, Kapur J. Neuronal circuits sustaining neocortical-injury-induced status epilepticus. Neurobiol Dis 2022; 165:105633. [PMID: 35065250 PMCID: PMC8860889 DOI: 10.1016/j.nbd.2022.105633] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Revised: 01/04/2022] [Accepted: 01/16/2022] [Indexed: 01/12/2023] Open
Abstract
OBJECTIVES Acute injuries or insults to the cortex, such as trauma, subarachnoid hemorrhage, lobar hemorrhage, can cause seizures or status epilepticus(SE). Neocortical SE is associated with coma, worse prognosis, delayed recovery, and the development of epilepsy. The anatomical structures progressively recruited during neocortical-onset status epilepticus (SE) is unknown. Therefore, we constructed large-scale maps of brain regions active during neocortical SE. METHODS We used a neocortical injury-induced SE mouse model. We implanted cobalt (Co) in the right supplementary motor cortex (M2). We 16 h later administered a homocysteine injection (845 mg/kg, intraperitoneal) to C57Bl/6 J mice to induce SE and monitored it by video and EEG. We harvested animals for 1 h (early-stage) and 2 h (late-stage) following homocysteine injections. To construct activation maps, we immunolabeled whole-brain sections for cFos and NeuN, imaged them using a confocal microscope and quantified cFos immunoreactivity (IR). RESULTS SE in the early phase consisted of discrete, focal intermittent seizures, which became continuous and bilateral in the late stage. In this early stage, cFos IR was primarily observed in the right hemisphere, ipsilateral to the Co lesion, specifically in the motor cortex, retrosplenial cortex, somatosensory cortex, anterior cingulate cortex, lateral and medial septal nuclei, and amygdala. We observed bilateral cFos IR in brain regions during the late stage, indicating the bilateral spread of focal seizures. We found increased cFOS IR in the bilateral somatosensory cortex and the motor cortex and subcortical regions, including the amygdala, thalamus, and hypothalamus. There was noticeably different, intense cFos IR in the bilateral hippocampus compared to the early stage. In addition, there was higher activity in the cortex ipsilateral to the seizure focus during the late stage compared with the early one. CONCLUSION We present a large-scale, high-resolution map of seizure spread during neocortical injury-induced SE. Cortico-cortical and cortico subcortical re-entrant circuits sustain neocortical SE. Neuronal loss following neocortical SE, distant from the neocortical focus, may result from seizures.
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Affiliation(s)
- Tanveer Singh
- Department of Neurology, University of Virginia, Charlottesville, VA 22908, USA
| | - Tamal Batabyal
- UVA Brain Institute, University of Virginia, Charlottesville, VA 22908, USA
| | - Jaideep Kapur
- Department of Neurology, University of Virginia, Charlottesville, VA 22908, USA; UVA Brain Institute, University of Virginia, Charlottesville, VA 22908, USA; Department of Neuroscience, University of Virginia, Charlottesville, VA 22908, USA.
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4
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Convergence of forepaw somatosensory and motor cortical projections in the striatum, claustrum, thalamus, and pontine nuclei of cats. Brain Struct Funct 2021; 227:361-379. [PMID: 34665323 DOI: 10.1007/s00429-021-02405-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2021] [Accepted: 09/30/2021] [Indexed: 12/19/2022]
Abstract
The basal ganglia and pontocerebellar systems regulate somesthetic-guided motor behaviors and receive prominent inputs from sensorimotor cortex. In addition, the claustrum and thalamus are forebrain subcortical structures that have connections with somatosensory and motor cortices. Our previous studies in rats have shown that primary and secondary somatosensory cortex (S1 and S2) send overlapping projections to the neostriatum and pontine nuclei, whereas, overlap of primary motor cortex (M1) and S1 was much weaker. In addition, we have shown that M1, but not S1, projects to the claustrum in rats. The goal of the current study was to compare these rodent projection patterns with connections in cats, a mammalian species that evolved in a separate phylogenetic superorder. Three different anterograde tracers were injected into the physiologically identified forepaw representations of M1, S1, and S2 in cats. Labeled fibers terminated throughout the ipsilateral striatum (caudate and putamen), claustrum, thalamus, and pontine nuclei. Digital reconstructions of tracer labeling allowed us to quantify both the normalized distribution of labeling in each subcortical area from each tracer injection, as well as the amount of tracer overlap. Surprisingly, in contrast to our previous findings in rodents, we observed M1 and S1 projections converging prominently in striatum and pons, whereas, S1 and S2 overlap was much weaker. Furthermore, whereas, rat S1 does not project to claustrum, we confirmed dense claustral inputs from S1 in cats. These findings suggest that the basal ganglia, claustrum, and pontocerebellar systems in rat and cat have evolved distinct patterns of sensorimotor cortical convergence.
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5
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Ro T, Koenig L. Unconscious Touch Perception After Disruption of the Primary Somatosensory Cortex. Psychol Sci 2021; 32:549-557. [PMID: 33635728 DOI: 10.1177/0956797620970551] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Brain damage or disruption to the primary visual cortex sometimes produces blindsight, a striking condition in which patients lose the ability to consciously detect visual information yet retain the ability to discriminate some attributes without awareness. Although there have been few demonstrations of somatosensory equivalents of blindsight, the lesions that produce "numbsense," in which patients can make accurate guesses about tactile information without awareness, have been rare and localized to different regions of the brain. Despite transient loss of tactile awareness in the contralateral hand after transcranial magnetic stimulation (TMS) of the primary somatosensory cortex but not TMS of a control site, 12 participants (six female) reliably performed at above-chance levels on a localization task. These results demonstrating TMS-induced numbsense implicate a parallel somatosensory pathway that processes the location of touch in the absence of awareness and highlight the importance of primary sensory cortices for conscious perception.
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Affiliation(s)
- Tony Ro
- Program in Cognitive Neuroscience, The Graduate Center, City University of New York.,Program in Psychology, The Graduate Center, City University of New York.,Program in Biology, The Graduate Center, City University of New York
| | - Lua Koenig
- Program in Psychology, The Graduate Center, City University of New York
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6
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León-Moreno LC, Castañeda-Arellano R, Aguilar-García IG, Desentis-Desentis MF, Torres-Anguiano E, Gutiérrez-Almeida CE, Najar-Acosta LJ, Mendizabal-Ruiz G, Ascencio-Piña CR, Dueñas-Jiménez JM, Rivas-Carrillo JD, Dueñas-Jiménez SH. Kinematic Changes in a Mouse Model of Penetrating Hippocampal Injury and Their Recovery After Intranasal Administration of Endometrial Mesenchymal Stem Cell-Derived Extracellular Vesicles. Front Cell Neurosci 2020; 14:579162. [PMID: 33192324 PMCID: PMC7533596 DOI: 10.3389/fncel.2020.579162] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Accepted: 08/14/2020] [Indexed: 12/20/2022] Open
Abstract
Locomotion speed changes appear following hippocampal injury. We used a hippocampal penetrating brain injury mouse model to analyze other kinematic changes. We found a significant decrease in locomotion speed in both open-field and tunnel walk tests. We described a new quantitative method that allows us to analyze and compare the displacement curves between mice steps. In the tunnel walk, we marked mice with indelible ink on the knee, ankle, and metatarsus of the left and right hindlimbs to evaluate both in every step. Animals with hippocampal damage exhibit slower locomotion speed in both hindlimbs. In contrast, in the cortical injured group, we observed significant speed decrease only in the right hindlimb. We found changes in the displacement patterns after hippocampal injury. Mesenchymal stem cell-derived extracellular vesicles had been used for the treatment of several diseases in animal models. Here, we evaluated the effects of intranasal administration of endometrial mesenchymal stem cell-derived extracellular vesicles on the outcome after the hippocampal injury. We report the presence of vascular endothelial growth factor, granulocyte–macrophage colony-stimulating factor, and interleukin 6 in these vesicles. We observed locomotion speed and displacement pattern preservation in mice after vesicle treatment. These mice had lower pyknotic cells percentage and a smaller damaged area in comparison with the nontreated group, probably due to angiogenesis, wound repair, and inflammation decrease. Our results build up on the evidence of the hippocampal role in walk control and suggest that the extracellular vesicles could confer neuroprotection to the damaged hippocampus.
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Affiliation(s)
- Lilia Carolina León-Moreno
- Laboratory of Neurophysiology, Department of Neuroscience, University Center for Health Sciences, University of Guadalajara, Guadalajara, Mexico.,Department of Biomedical Sciences, University Center of Tonala, University of Guadalajara, Guadalajara, Mexico
| | - Rolando Castañeda-Arellano
- Laboratory of Tissue Engineering and Transplant, Department of Physiology, cGMP Cell Processing Facility, University Center for Health Sciences, University of Guadalajara, Guadalajara, Mexico
| | - Irene Guadalupe Aguilar-García
- Laboratory of Neurophysiology, Department of Neuroscience, University Center for Health Sciences, University of Guadalajara, Guadalajara, Mexico
| | | | - Elizabeth Torres-Anguiano
- Department of Biomedical Sciences, University Center of Tonala, University of Guadalajara, Guadalajara, Mexico
| | - Coral Estefanía Gutiérrez-Almeida
- Laboratory of Neurophysiology, Department of Neuroscience, University Center for Health Sciences, University of Guadalajara, Guadalajara, Mexico
| | - Luis Jesús Najar-Acosta
- Department of Biomedical Sciences, University Center of Tonala, University of Guadalajara, Guadalajara, Mexico
| | - Gerardo Mendizabal-Ruiz
- Department of Computer Sciences, University Center of Exact Sciences and Engineering, University of Guadalajara, Guadalajara, Mexico
| | - César Rodolfo Ascencio-Piña
- Department of Computer Sciences, University Center of Exact Sciences and Engineering, University of Guadalajara, Guadalajara, Mexico
| | - Judith Marcela Dueñas-Jiménez
- Laboratory of Neurophysiology, Department of Neuroscience, University Center for Health Sciences, University of Guadalajara, Guadalajara, Mexico
| | - Jorge David Rivas-Carrillo
- Department of Biomedical Sciences, University Center of Tonala, University of Guadalajara, Guadalajara, Mexico
| | - Sergio Horacio Dueñas-Jiménez
- Laboratory of Neurophysiology, Department of Neuroscience, University Center for Health Sciences, University of Guadalajara, Guadalajara, Mexico
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7
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Layer-specific sensory processing impairment in the primary somatosensory cortex after motor cortex infarction. Sci Rep 2020; 10:3771. [PMID: 32111927 PMCID: PMC7048762 DOI: 10.1038/s41598-020-60662-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2019] [Accepted: 02/13/2020] [Indexed: 12/21/2022] Open
Abstract
Primary motor cortex (M1) infarctions sometimes cause sensory impairment. Because sensory signals play a vital role in motor control, sensory impairment compromises the recovery and rehabilitation of motor disability. However, the neural mechanism of the sensory impairment is poorly understood. We show that sensory processing in mouse primary somatosensory cortex (S1) was impaired in the acute phase of M1 infarctions and recovered in a layer-specific manner in the subacute phase. This layer-dependent recovery process and the anatomical connection pattern from M1 to S1 suggested that functional connectivity from M1 to S1 plays a key role in the sensory processing impairment. A simulation study demonstrated that the loss of inhibition from M1 to S1 in the acute phase of M1 infarctions could impair sensory processing in S1, and compensation for the inhibition could recover the temporal coding. Consistently, the optogenetic activation of M1 suppressed the sustained response in S1. Taken together, we revealed how focal stroke in M1 alters the cortical network activity of sensory processing, in which inhibitory input from M1 to S1 may be involved.
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8
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Charpier S, Pidoux M, Mahon S. Converging sensory and motor cortical inputs onto the same striatal neurons: An in vivo intracellular investigation. PLoS One 2020; 15:e0228260. [PMID: 32023274 PMCID: PMC7001913 DOI: 10.1371/journal.pone.0228260] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Accepted: 01/11/2020] [Indexed: 11/18/2022] Open
Abstract
The striatum is involved in the completion and optimization of sensorimotor tasks. In rodents, its dorsolateral part receives converging glutamatergic corticostriatal (CS) inputs from whisker-related primary somatosensory (S1) and motor (M1) cortical areas, which are interconnected at the cortical level. Although it has been demonstrated that the medium-spiny neurons (MSNs) from the dorsolateral striatum process sensory information from the whiskers via the S1 CS pathway, the functional impact of the corresponding M1 CS inputs onto the same striatal neurons remained unknown. Here, by combining in vivo S1 electrocorticogram with intracellular recordings from somatosensory MSNs in the rat, we first confirmed the heterogeneity of striatal responsiveness to whisker stimuli, encompassing MSNs responding exclusively by subthreshold synaptic depolarizations, MSNs exhibiting sub- and suprathreshold responses over successive stimulations, and non-responding cells. All recorded MSNs also exhibited clear-cut monosynaptic depolarizing potentials in response to electrical stimulations of the corresponding ipsilateral M1 cortex, which were efficient to fire striatal cells. Since M1-evoked responses in MSNs could result from the intra-cortical recruitment of S1 CS neurons, we performed intracellular recordings of S1 pyramidal neurons and compared their firing latency following M1 stimuli to the latency of striatal synaptic responses. We found that the onset of M1-evoked synaptic responses in MSNs significantly preceded the firing of S1 neurons, demonstrating a direct synaptic excitation of MSNs by M1. However, the firing of MSNs seemed to require the combined excitatory effects of S1 and M1 CS inputs. This study directly demonstrates that the same somatosensory MSNs can process excitatory synaptic inputs from two functionally-related sensory and motor cortical regions converging into the same striatal sector. The effectiveness of these convergent cortical inputs in eliciting action potentials in MSNs may represent a key mechanism of striatum-related sensorimotor behaviors.
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Affiliation(s)
- Stéphane Charpier
- Institut du Cerveau et de la Moelle épinière, ICM, INSERM UMRS 1127, CNRS UMR 7225, Hôpital Pitié-Salpêtrière, Paris, France
- Sorbonne Université, UPMC Université Paris 06, Paris, France
- * E-mail:
| | - Morgane Pidoux
- Institut du Cerveau et de la Moelle épinière, ICM, INSERM UMRS 1127, CNRS UMR 7225, Hôpital Pitié-Salpêtrière, Paris, France
| | - Séverine Mahon
- Institut du Cerveau et de la Moelle épinière, ICM, INSERM UMRS 1127, CNRS UMR 7225, Hôpital Pitié-Salpêtrière, Paris, France
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9
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A Non-canonical Feedback Circuit for Rapid Interactions between Somatosensory Cortices. Cell Rep 2019; 23:2718-2731.e6. [PMID: 29847801 PMCID: PMC6004823 DOI: 10.1016/j.celrep.2018.04.115] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2017] [Revised: 03/20/2018] [Accepted: 04/26/2018] [Indexed: 12/17/2022] Open
Abstract
Sensory perception depends on interactions among cortical areas. These
interactions are mediated by canonical patterns of connectivity in which higher
areas send feedback projections to lower areas via neurons in superficial and
deep layers. Here, we probed the circuit basis of interactions among two areas
critical for touch perception in mice, whisker primary (wS1) and secondary (wS2)
somatosensory cortices. Neurons in layer 4 of wS2 (S2L4) formed a
major feedback pathway to wS1. Feedback from wS2 to wS1 was organized
somatotopically. Spikes evoked by whisker deflections occurred nearly as rapidly
in wS2 as in wS1, including among putative S2L4 → S1 feedback
neurons. Axons from S2L4 → S1 neurons sent stimulus
orientation-specific activity to wS1. Optogenetic excitation of S2L4
neurons modulated activity across both wS2 and wS1, while inhibition of
S2L4 reduced orientation tuning among wS1 neurons. Thus, a
non-canonical feedback circuit, originating in layer 4 of S2, rapidly modulates
early tactile processing.
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10
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Adibi M. Whisker-Mediated Touch System in Rodents: From Neuron to Behavior. Front Syst Neurosci 2019; 13:40. [PMID: 31496942 PMCID: PMC6712080 DOI: 10.3389/fnsys.2019.00040] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2018] [Accepted: 08/02/2019] [Indexed: 01/02/2023] Open
Abstract
A key question in systems neuroscience is to identify how sensory stimuli are represented in neuronal activity, and how the activity of sensory neurons in turn is “read out” by downstream neurons and give rise to behavior. The choice of a proper model system to address these questions, is therefore a crucial step. Over the past decade, the increasingly powerful array of experimental approaches that has become available in non-primate models (e.g., optogenetics and two-photon imaging) has spurred a renewed interest for the use of rodent models in systems neuroscience research. Here, I introduce the rodent whisker-mediated touch system as a structurally well-established and well-organized model system which, despite its simplicity, gives rise to complex behaviors. This system serves as a behaviorally efficient model system; known as nocturnal animals, along with their olfaction, rodents rely on their whisker-mediated touch system to collect information about their surrounding environment. Moreover, this system represents a well-studied circuitry with a somatotopic organization. At every stage of processing, one can identify anatomical and functional topographic maps of whiskers; “barrelettes” in the brainstem nuclei, “barreloids” in the sensory thalamus, and “barrels” in the cortex. This article provides a brief review on the basic anatomy and function of the whisker system in rodents.
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Affiliation(s)
- Mehdi Adibi
- School of Psychology, University of New South Wales, Sydney, NSW, Australia.,Tactile Perception and Learning Lab, International School for Advanced Studies (SISSA), Trieste, Italy.,Padua Neuroscience Center, University of Padua, Padua, Italy
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11
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Goldin MA, Harrell ER, Estebanez L, Shulz DE. Rich spatio-temporal stimulus dynamics unveil sensory specialization in cortical area S2. Nat Commun 2018; 9:4053. [PMID: 30282992 PMCID: PMC6170455 DOI: 10.1038/s41467-018-06585-4] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2018] [Accepted: 09/12/2018] [Indexed: 11/21/2022] Open
Abstract
Tactile perception in rodents depends on simultaneous, multi-whisker contacts with objects. Although it is known that neurons in secondary somatosensory cortex (wS2) respond to individual deflections of many whiskers, wS2′s precise function remains unknown. The convergence of information from multiple whiskers into wS2 neurons suggests that they are good candidates for integrating multi-whisker information. Here, we apply stimulation patterns with rich dynamics simultaneously to 24 macro-vibrissae of rats while recording large populations of single neurons. Varying inter-whisker correlations without changing single whisker statistics, we observe pronounced supra-linear multi-whisker integration. Using novel analysis methods, we show that continuous multi-whisker movements contribute to the firing of wS2 neurons over long temporal windows, facilitating spatio-temporal integration. In contrast, primary cortex (wS1) neurons encode fine features of whisker movements on precise temporal scales. These results provide the first description of wS2′s representation during multi-whisker stimulation and outline its specialized role in parallel to wS1 tactile processing. Sensory tuning properties of neurons in the secondary whisker somatosensory cortex (wS2) are not well understood. Here, the authors report that wS2 neurons supralinearly integrate concurrent multi-whisker input with larger temporal windows than primary somatosensory cortex.
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Affiliation(s)
- Matías A Goldin
- Unité de Neurosciences, Information et Complexité, UNIC-FRE3693, Centre National de la Recherche Scientifique, Gif sur Yvette, 91198, France
| | - Evan R Harrell
- Unité de Neurosciences, Information et Complexité, UNIC-FRE3693, Centre National de la Recherche Scientifique, Gif sur Yvette, 91198, France
| | - Luc Estebanez
- Unité de Neurosciences, Information et Complexité, UNIC-FRE3693, Centre National de la Recherche Scientifique, Gif sur Yvette, 91198, France
| | - Daniel E Shulz
- Unité de Neurosciences, Information et Complexité, UNIC-FRE3693, Centre National de la Recherche Scientifique, Gif sur Yvette, 91198, France.
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12
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Fox K. Deconstructing the cortical column in the barrel cortex. Neuroscience 2017; 368:17-28. [PMID: 28739527 DOI: 10.1016/j.neuroscience.2017.07.034] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2017] [Revised: 07/07/2017] [Accepted: 07/13/2017] [Indexed: 02/02/2023]
Abstract
The question of what function is served by the cortical column has occupied neuroscientists since its original description some 60years ago. The answer seems tractable in the somatosensory cortex when considering the inputs to the cortical column and the early stages of information processing, but quickly breaks down once the multiplicity of output streams and their sub-circuits are brought into consideration. This article describes the early stages of information processing in the barrel cortex, through generation of the center and surround receptive field components of neurons that subserve integration of multi whisker information, before going on to consider the diversity of properties exhibited by the layer 5 output neurons. The layer 5 regular spiking (RS) neurons differ from intrinsic bursting (IB) neurons in having different input connections, plasticity mechanisms and corticofugal projections. In particular, layer 5 RS cells employ noise reduction and homeostatic plasticity mechanism to preserve and even increase information transfer, while IB cells use more conventional Hebbian mechanisms to achieve a similar outcome. It is proposed that the rodent analog of the dorsal and ventral streams, a division reasonably well established in primate cortex, might provide a further level of organization for RS cell function and hence sub-circuit specialization.
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Affiliation(s)
- Kevin Fox
- School of Biosciences, Cardiff University, United Kingdom.
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13
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Abe Y, Kato C, Uchima Koecklin KH, Okihara H, Ishida T, Fujita K, Yabushita T, Kokai S, Ono T. Unilateral nasal obstruction affects motor representation development within the face primary motor cortex in growing rats. J Appl Physiol (1985) 2017; 122:1494-1503. [PMID: 28336541 DOI: 10.1152/japplphysiol.01130.2016] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2016] [Revised: 03/09/2017] [Accepted: 03/20/2017] [Indexed: 12/30/2022] Open
Abstract
Postnatal growth is influenced by genetic and environmental factors. Nasal obstruction during growth alters the electromyographic activity of orofacial muscles. The facial primary motor area represents muscles of the tongue and jaw, which are essential in regulating orofacial motor functions, including chewing and jaw opening. This study aimed to evaluate the effect of chronic unilateral nasal obstruction during growth on the motor representations within the face primary motor cortex (M1). Seventy-two 6-day-old male Wistar rats were randomly divided into control (n = 36) and experimental (n = 36) groups. Rats in the experimental group underwent unilateral nasal obstruction after cauterization of the external nostril at 8 days of age. Intracortical microstimulation (ICMS) mapping was performed when the rats were 5, 7, 9, and 11 wk old in control and experimental groups (n = 9 per group per time point). Repeated-measures multivariate ANOVA was used for intergroup and intragroup statistical comparisons. In the control and experimental groups, the total number of positive ICMS sites for the genioglossus and anterior digastric muscles was significantly higher at 5, 7, and 9 wk, but there was no significant difference between 9 and 11 wk of age. Moreover, the total number of positive ICMS sites was significantly smaller in the experimental group than in the control at each age. It is possible that nasal obstruction induced the initial changes in orofacial motor behavior in response to the altered respiratory pattern, which eventually contributed to face-M1 neuroplasticity.NEW & NOTEWORTHY Unilateral nasal obstruction in rats during growth periods induced changes in arterial oxygen saturation (SpO2) and altered development of the motor representation within the face primary cortex. Unilateral nasal obstruction occurring during growth periods may greatly affect not only respiratory function but also craniofacial function in rats. Nasal obstruction should be treated as soon as possible to avoid adverse effects on normal growth, development, and physiological functions.
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Affiliation(s)
- Yasunori Abe
- Orthodontic Science, Department of Oral Health Sciences, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan
| | - Chiho Kato
- Orthodontic Science, Department of Oral Health Sciences, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan
| | - Karin Harumi Uchima Koecklin
- Orthodontic Science, Department of Oral Health Sciences, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan
| | - Hidemasa Okihara
- Orthodontic Science, Department of Oral Health Sciences, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan
| | - Takayoshi Ishida
- Orthodontic Science, Department of Oral Health Sciences, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan
| | - Koichi Fujita
- Orthodontic Science, Department of Oral Health Sciences, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan
| | - Tadachika Yabushita
- Orthodontic Science, Department of Oral Health Sciences, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan
| | - Satoshi Kokai
- Orthodontic Science, Department of Oral Health Sciences, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan
| | - Takashi Ono
- Orthodontic Science, Department of Oral Health Sciences, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan
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14
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Pun H, Awamleh L, Lee JC, Avivi-Arber L. Decreased face primary motor cortex (face-M1) excitability induced by noxious stimulation of the rat molar tooth pulp is dependent on the functional integrity of medullary astrocytes. Exp Brain Res 2015; 234:645-57. [DOI: 10.1007/s00221-015-4448-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2015] [Accepted: 09/18/2015] [Indexed: 02/03/2023]
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15
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Smith JB, Watson GDR, Alloway KD, Schwarz C, Chakrabarti S. Corticofugal projection patterns of whisker sensorimotor cortex to the sensory trigeminal nuclei. Front Neural Circuits 2015; 9:53. [PMID: 26483640 PMCID: PMC4588702 DOI: 10.3389/fncir.2015.00053] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2015] [Accepted: 09/14/2015] [Indexed: 11/29/2022] Open
Abstract
The primary (S1) and secondary (S2) somatosensory cortices project to several trigeminal sensory nuclei. One putative function of these corticofugal projections is the gating of sensory transmission through the trigeminal principal nucleus (Pr5), and some have proposed that S1 and S2 project differentially to the spinal trigeminal subnuclei, which have inhibitory circuits that could inhibit or disinhibit the output projections of Pr5. Very little, however, is known about the origin of sensorimotor corticofugal projections and their patterns of termination in the various trigeminal nuclei. We addressed this issue by injecting anterograde tracers in S1, S2 and primary motor (M1) cortices, and quantitatively characterizing the distribution of labeled terminals within the entire rostro-caudal chain of trigeminal sub-nuclei. We confirmed our anterograde tracing results by injecting retrograde tracers at various rostro-caudal levels within the trigeminal sensory nuclei to determine the position of retrogradely labeled cortical cells with respect to S1 barrel cortex. Our results demonstrate that S1 and S2 projections terminate in largely overlapping regions but show some significant differences. Whereas S1 projection terminals tend to cluster within the principal trigeminal (Pr5), caudal spinal trigeminal interpolaris (Sp5ic), and the dorsal spinal trigeminal caudalis (Sp5c), S2 projection terminals are distributed in a continuum across all trigeminal nuclei. Contrary to the view that sensory gating could be mediated by differential activation of inhibitory interconnections between the spinal trigeminal subnuclei, we observed that projections from S1 and S2 are largely overlapping in these subnuclei despite the differences noted earlier.
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Affiliation(s)
- Jared B Smith
- Department of Engineering Science and Mechanics, Pennsylvania State University University Park, PA, USA ; Center for Neural Engineering, Huck Institute of Life Sciences, Pennsylvania State University University Park, PA, USA
| | - Glenn D R Watson
- Center for Neural Engineering, Huck Institute of Life Sciences, Pennsylvania State University University Park, PA, USA ; Department of Neural and Behavioral Sciences, Pennsylvania State University College of Medicine Hershey, PA, USA
| | - Kevin D Alloway
- Center for Neural Engineering, Huck Institute of Life Sciences, Pennsylvania State University University Park, PA, USA ; Department of Neural and Behavioral Sciences, Pennsylvania State University College of Medicine Hershey, PA, USA
| | - Cornelius Schwarz
- Department of Cognitive Neurology, Hertie Institute for Clinical Brain Research, Eberhard Karls University of Tübingen Tübingen, Germany ; Systems Neurophysiology, Werner Reichardt Center for Integrative Neurosciences, Eberhard Karls University of Tübingen Tübingen, Germany
| | - Shubhodeep Chakrabarti
- Department of Cognitive Neurology, Hertie Institute for Clinical Brain Research, Eberhard Karls University of Tübingen Tübingen, Germany ; Systems Neurophysiology, Werner Reichardt Center for Integrative Neurosciences, Eberhard Karls University of Tübingen Tübingen, Germany
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16
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Agarwal M, Ulmer JL, Klein AP, Mark LP. Cortical and Subcortical Substrates of Cranial Nerve Function. Semin Ultrasound CT MR 2015; 36:275-90. [PMID: 26233861 DOI: 10.1053/j.sult.2015.05.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
The pivotal role of cranial nerves in a wholesome life experience cannot be overemphasized. Research has opened new avenues to understand cranial nerve function. Classical concept of strict bilateral cortical control of cranial nerves has given way to concepts of hemispheric dominance and hemispheric lateralization. An astute Neuroradiologist should keep abreast of these concepts and help patients and referring physicians by applying this knowledge in reading images. This chapter provides an overview of cranial nerve function and latest concepts pertaining to their cortical and subcortical control.
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Affiliation(s)
- Mohit Agarwal
- Department of Radiology, Medical College of Wisconsin, Milwaukee, WI.
| | - John L Ulmer
- Department of Radiology, Medical College of Wisconsin, Milwaukee, WI
| | - Andrew P Klein
- Department of Radiology, Medical College of Wisconsin, Milwaukee, WI
| | - Leighton P Mark
- Department of Radiology, Medical College of Wisconsin, Milwaukee, WI
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17
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Avivi-Arber L, Lee JC, Sood M, Lakschevitz F, Fung M, Barashi-Gozal M, Glogauer M, Sessle BJ. Long-term neuroplasticity of the face primary motor cortex and adjacent somatosensory cortex induced by tooth loss can be reversed following dental implant replacement in rats. J Comp Neurol 2015; 523:2372-89. [DOI: 10.1002/cne.23793] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2014] [Revised: 04/10/2015] [Accepted: 04/15/2015] [Indexed: 12/21/2022]
Affiliation(s)
- Limor Avivi-Arber
- Department of Prosthodontic; Faculty of Dentistry; University of Toronto; Ontario Canada
- Department of Oral Physiology; Faculty of Dentistry; University of Toronto; Ontario Canada
| | - Jye-Chang Lee
- Department of Oral Physiology; Faculty of Dentistry; University of Toronto; Ontario Canada
| | - Mandeep Sood
- Department of Oral Physiology; Faculty of Dentistry; University of Toronto; Ontario Canada
- Department of Orthodontics; Faculty of Dentistry; University of Toronto; Ontario Canada
| | - Flavia Lakschevitz
- Department of Periodontics; Faculty of Dentistry; University of Toronto; Ontario Canada
| | - Michelle Fung
- Department of Oral Physiology; Faculty of Dentistry; University of Toronto; Ontario Canada
| | - Maayan Barashi-Gozal
- Department of Periodontics; Faculty of Dentistry; University of Toronto; Ontario Canada
| | - Michael Glogauer
- Department of Periodontics; Faculty of Dentistry; University of Toronto; Ontario Canada
| | - Barry J. Sessle
- Department of Oral Physiology; Faculty of Dentistry; University of Toronto; Ontario Canada
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18
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Granger causal time-dependent source connectivity in the somatosensory network. Sci Rep 2015; 5:10399. [PMID: 25997414 PMCID: PMC4441010 DOI: 10.1038/srep10399] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2014] [Accepted: 04/13/2015] [Indexed: 12/29/2022] Open
Abstract
Exploration of transient Granger causal interactions in neural sources of electrophysiological activities provides deeper insights into brain information processing mechanisms. However, the underlying neural patterns are confounded by time-dependent dynamics, non-stationarity and observational noise contamination. Here we investigate transient Granger causal interactions using source time-series of somatosensory evoked magnetoencephalographic (MEG) elicited by air puff stimulation of right index finger and recorded using 306-channel MEG from 21 healthy subjects. A new time-varying connectivity approach, combining renormalised partial directed coherence with state space modelling, is employed to estimate fast changing information flow among the sources. Source analysis confirmed that somatosensory evoked MEG was mainly generated from the contralateral primary somatosensory cortex (SI) and bilateral secondary somatosensory cortices (SII). Transient Granger causality shows a serial processing of somatosensory information, 1) from contralateral SI to contralateral SII, 2) from contralateral SI to ipsilateral SII, 3) from contralateral SII to contralateral SI, and 4) from contralateral SII to ipsilateral SII. These results are consistent with established anatomical connectivity between somatosensory regions and previous source modeling results, thereby providing empirical validation of the time-varying connectivity analysis. We argue that the suggested approach provides novel information regarding transient cortical dynamic connectivity, which previous approaches could not assess.
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19
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Sood M, Lee JC, Avivi-Arber L, Bhatt P, Sessle BJ. Neuroplastic changes in the sensorimotor cortex associated with orthodontic tooth movement in rats. J Comp Neurol 2015; 523:1548-68. [DOI: 10.1002/cne.23753] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2014] [Revised: 01/18/2015] [Accepted: 01/24/2015] [Indexed: 12/31/2022]
Affiliation(s)
- Mandeep Sood
- Graduate Program in Orthodontics and Collaborative Program in Neuroscience; Faculty of Dentistry; University of Toronto; Ontario M5G 1G6 Canada
| | - Jye-Chang Lee
- Department of Oral Physiology; Faculty of Dentistry; University of Toronto; Ontario M5G 1G6 Canada
| | - Limor Avivi-Arber
- Department of Oral Physiology; Faculty of Dentistry; University of Toronto; Ontario M5G 1G6 Canada
- Department of Prosthodontics; Faculty of Dentistry; University of Toronto; Ontario M5G 1G6 Canada
| | - Poolak Bhatt
- Faculty of Dentistry; University of Toronto; Ontario M5G 1G6 Canada
| | - Barry J. Sessle
- Department of Oral Physiology; Faculty of Dentistry; University of Toronto; Ontario M5G 1G6 Canada
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20
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Suter BA, Shepherd GMG. Reciprocal interareal connections to corticospinal neurons in mouse M1 and S2. J Neurosci 2015; 35:2959-74. [PMID: 25698734 PMCID: PMC4331623 DOI: 10.1523/jneurosci.4287-14.2015] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2014] [Revised: 12/18/2014] [Accepted: 01/05/2015] [Indexed: 01/13/2023] Open
Abstract
Primary motor (M1) and secondary somatosensory (S2) cortices, although anatomically and functionally distinct, share an intriguing cellular component: corticospinal neurons (CSP) in layer 5B. Here, we investigated the long-range circuits of CSPs in mouse forelimb-M1 and S2. We found that interareal projections (S2 → M1 and M1 → S2) monosynaptically excited pyramidal neurons across multiple layers, including CSPs. Area-specific differences were observed in the relative strengths of inputs to subsets of CSPs and other cell types, but the general patterns were similar. Furthermore, subcellular mapping of the dendritic distributions of these corticocortical excitatory synapses onto CSPs in both areas also showed similar patterns. Because layer 5B is particularly thick in M1, but not S2, we studied M1-CSPs at different cortical depths, quantifying their dendritic morphology and mapping inputs from additional cortical (M2, contralateral M1, and local layer 2/3) and thalamic (VL nucleus) sources. These results indicated that CSPs exhibit area-specific modifications on an otherwise conserved synaptic organization, and that different afferents innervate M1-CSP dendritic domains in a source-specific manner. In the cervical spinal cord, CSP axons from S2 and M1 partly converged on middle layers, but S2-CSP axons extended further dorsally, and M1-CSP axons ventrally. Thus, our findings identify many shared features in the circuits of M1 and S2 and show that these areas communicate via mutual projections that give each area monosynaptic access to the other area's CSPs. These interareally yoked CSP circuits may enable M1 and S2 to operate in a coordinated yet differentiated manner in the service of sensorimotor integration.
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Affiliation(s)
- Benjamin A Suter
- Department of Physiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois 60611
| | - Gordon M G Shepherd
- Department of Physiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois 60611
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21
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Stehberg J, Dang PT, Frostig RD. Unimodal primary sensory cortices are directly connected by long-range horizontal projections in the rat sensory cortex. Front Neuroanat 2014; 8:93. [PMID: 25309339 PMCID: PMC4174042 DOI: 10.3389/fnana.2014.00093] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2014] [Accepted: 08/23/2014] [Indexed: 11/23/2022] Open
Abstract
Research based on functional imaging and neuronal recordings in the barrel cortex subdivision of primary somatosensory cortex (SI) of the adult rat has revealed novel aspects of structure-function relationships in this cortex. Specifically, it has demonstrated that single whisker stimulation evokes subthreshold neuronal activity that spreads symmetrically within gray matter from the appropriate barrel area, crosses cytoarchitectural borders of SI and reaches deeply into other unimodal primary cortices such as primary auditory (AI) and primary visual (VI). It was further demonstrated that this spread is supported by a spatially matching underlying diffuse network of border-crossing, long-range projections that could also reach deeply into AI and VI. Here we seek to determine whether such a network of border-crossing, long-range projections is unique to barrel cortex or characterizes also other primary, unimodal sensory cortices and therefore could directly connect them. Using anterograde (BDA) and retrograde (CTb) tract-tracing techniques, we demonstrate that such diffuse horizontal networks directly and mutually connect VI, AI and SI. These findings suggest that diffuse, border-crossing axonal projections connecting directly primary cortices are an important organizational motif common to all major primary sensory cortices in the rat. Potential implications of these findings for topics including cortical structure-function relationships, multisensory integration, functional imaging, and cortical parcellation are discussed.
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Affiliation(s)
- Jimmy Stehberg
- Department of Neurobiology and Behavior, University of California, Irvine Irvine, CA, USA ; Laboratorio de Neurobiología, Centro de Investigaciones Biomédicas, Universidad Andres Bello Santiago, Chile
| | - Phat T Dang
- Department of Neurobiology and Behavior, University of California, Irvine Irvine, CA, USA
| | - Ron D Frostig
- Department of Neurobiology and Behavior, University of California, Irvine Irvine, CA, USA ; Department of Biomedical Engineering, University of California, Irvine Irvine, CA, USA ; The Center for the Neurobiology of Learning and Memory, University of California, Irvine Irvine, CA, USA
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22
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Vitali I, Jabaudon D. Synaptic biology of barrel cortex circuit assembly. Semin Cell Dev Biol 2014; 35:156-64. [PMID: 25080022 DOI: 10.1016/j.semcdb.2014.07.009] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2014] [Revised: 07/10/2014] [Accepted: 07/17/2014] [Indexed: 02/04/2023]
Abstract
Mature neuronal circuits arise from the coordinated interplay of cell-intrinsic differentiation programs, target-derived signals and activity-dependent processes. Typically, cell-intrinsic mechanisms predominate at early stages of differentiation, while input-dependent processes modulate circuit formation at later stages of development. The whisker barrel cortex of rodents is particularly well suited to study this latter phase. During the first few days after birth, thalamocortical axons (TCA) from the somatosensory ventral posteromedial nucleus (VPM) form synapses onto layer 4 (L4) neurons, which aggregate to form barrels, whose spatial organization corresponds to the distribution of the whiskers on the snout. Besides specific genetic programs, which control TCA and L4 neuron specification, the establishment of the barrel pattern also depends on the information resulting from whisker activation. The plasticity of this system during the first few days after birth is critical for barrel formation: damage to the sensory periphery impairs TCA patterning, while lesions after this period have less pronounced effects. Here, we will review the role and position of L4 neurons within cortical columnar circuits and synaptogenesis during barrel formation.
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Affiliation(s)
- Ilaria Vitali
- Department of Basic Neurosciences, University of Geneva, Switzerland
| | - Denis Jabaudon
- Department of Basic Neurosciences, University of Geneva, Switzerland.
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23
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Sorensen SA, Bernard A, Menon V, Royall JJ, Glattfelder KJ, Desta T, Hirokawa K, Mortrud M, Miller JA, Zeng H, Hohmann JG, Jones AR, Lein ES. Correlated gene expression and target specificity demonstrate excitatory projection neuron diversity. ACTA ACUST UNITED AC 2013; 25:433-49. [PMID: 24014670 DOI: 10.1093/cercor/bht243] [Citation(s) in RCA: 96] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
The neocortex contains diverse populations of excitatory neurons segregated by layer and further definable by their specific cortical and subcortical projection targets. The current study describes a systematic approach to identify molecular correlates of specific projection neuron classes in mouse primary somatosensory cortex (S1), using a combination of in situ hybridization (ISH) data mining, marker gene colocalization, and combined retrograde labeling with ISH for layer-specific marker genes. First, we identified a large set of genes with specificity for each cortical layer, and that display heterogeneous patterns within those layers. Using these genes as markers, we find extensive evidence for the covariation of gene expression and projection target specificity in layer 2/3, 5, and 6, with individual genes labeling neurons projecting to specific subsets of target structures. The combination of gene expression and target specificity imply a great diversity of projection neuron classes that is similar to or greater than that of GABAergic interneurons. The covariance of these 2 phenotypic modalities suggests that these classes are both discrete and genetically specified.
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Affiliation(s)
| | - Amy Bernard
- Allen Institute for Brain Science, Seattle, WA 98040, USA
| | - Vilas Menon
- Allen Institute for Brain Science, Seattle, WA 98040, USA
| | | | | | - Tsega Desta
- Allen Institute for Brain Science, Seattle, WA 98040, USA
| | - Karla Hirokawa
- Allen Institute for Brain Science, Seattle, WA 98040, USA
| | - Marty Mortrud
- Allen Institute for Brain Science, Seattle, WA 98040, USA
| | | | - Hongkui Zeng
- Allen Institute for Brain Science, Seattle, WA 98040, USA
| | - John G Hohmann
- Allen Institute for Brain Science, Seattle, WA 98040, USA
| | - Allan R Jones
- Allen Institute for Brain Science, Seattle, WA 98040, USA
| | - Ed S Lein
- Allen Institute for Brain Science, Seattle, WA 98040, USA
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24
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Chen JL, Carta S, Soldado-Magraner J, Schneider BL, Helmchen F. Behaviour-dependent recruitment of long-range projection neurons in somatosensory cortex. Nature 2013; 499:336-40. [DOI: 10.1038/nature12236] [Citation(s) in RCA: 250] [Impact Index Per Article: 22.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2012] [Accepted: 04/30/2013] [Indexed: 12/18/2022]
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25
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Feldmeyer D, Brecht M, Helmchen F, Petersen CC, Poulet JF, Staiger JF, Luhmann HJ, Schwarz C. Barrel cortex function. Prog Neurobiol 2013. [DOI: 10.1016/j.pneurobio.2012.11.002] [Citation(s) in RCA: 257] [Impact Index Per Article: 23.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
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26
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Byron CD, Vanvalkinburgh D, Northcutt K, Young V. Plasticity in the Cerebellum and Primary Somatosensory Cortex Relating to Habitual and Continuous Slender Branch Climbing in Laboratory Mice (Mus musculus). Anat Rec (Hoboken) 2013; 296:822-33. [DOI: 10.1002/ar.22685] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2012] [Accepted: 02/05/2013] [Indexed: 01/23/2023]
Affiliation(s)
- Craig D. Byron
- Department of Biology; Mercer University; 1400 Coleman Avenue Macon Georgia
| | | | | | - Virginia Young
- Department of Biology; Mercer University; 1400 Coleman Avenue Macon Georgia
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27
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Recovery mechanisms of somatosensory function in stroke patients: implications of brain imaging studies. Neurosci Bull 2013; 29:366-72. [PMID: 23471867 DOI: 10.1007/s12264-013-1315-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2012] [Accepted: 08/20/2012] [Indexed: 10/27/2022] Open
Abstract
Somatosensory dysfunction is associated with a high incidence of functional impairment and safety in patients with stroke. With developments in brain mapping techniques, many studies have addressed the recovery of various functions in such patients. However, relatively little is known about the mechanisms of recovery of somatosensory function. Based on the previous human studies, a review of 11 relevant studies on the mechanisms underlying the recovery of somatosensory function in stroke patients was conducted based on the following topics: (1) recovery of an injured somatosensory pathway, (2) peri-lesional reorganization, (3) contribution of the unaffected somatosensory cortex, (4) contribution of the secondary somatosensory cortex, and (5) mechanisms of recovery in patients with thalamic lesions. We believe that further studies in this field using combinations of diffusion tensor imaging, functional neuroimaging, and magnetoencephalography are needed. In addition, the clinical significance, critical period, and facilitatory strategies for each recovery mechanism should be clarified.
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28
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Smith JB, Alloway KD. Rat whisker motor cortex is subdivided into sensory-input and motor-output areas. Front Neural Circuits 2013; 7:4. [PMID: 23372545 PMCID: PMC3556600 DOI: 10.3389/fncir.2013.00004] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2012] [Accepted: 01/08/2013] [Indexed: 11/13/2022] Open
Abstract
Rodent whisking is an exploratory behavior that can be modified by sensory feedback. Consistent with this, many whisker-sensitive cortical regions project to agranular motor [motor cortex (MI)] cortex, but the relative topography of these afferent projections has not been established. Intracortical microstimulation (ICMS) evokes whisker movements that are used to map the functional organization of MI, but no study has compared the whisker-related inputs to MI with the ICMS sites that evoke whisker movements. To elucidate this relationship, anterograde tracers were placed in posterior parietal cortex (PPC) and in the primary somatosensory (SI) and secondary somatosensory (SII) cortical areas so that their labeled projections to MI could be analyzed with respect to ICMS sites that evoke whisker movements. Projections from SI and SII terminate in a narrow zone that marks the transition between the medial agranular (AGm) and lateral agranular (AGl) cortical areas, but PPC projects more medially and terminates in AGm proper. Paired recordings of MI neurons indicate that the region between AGm and AGl is highly responsive to whisker deflections, but neurons in AGm display negligible responses to whisker stimulation. By contrast, AGm microstimulation is more effective in evoking whisker movements than microstimulation of the transitional region between AGm and AGl. The AGm region was also found to contain a larger concentration of corticotectal neurons, which could convey whisker-related information to the facial nucleus. These results indicate that rat whisker MI is comprised of at least two functionally distinct subregions: a sensory processing zone in the transitional region between AGm and AGl, and a motor-output region located more medially in AGm proper.
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Affiliation(s)
- Jared B Smith
- Department of Neural and Behavioral Sciences, Penn State University Hershey, PA, USA ; Center for Neural Engineering, Penn State University University Park, PA, USA
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29
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Herrera-Rincon C, Torets C, Sanchez-Jimenez A, Avendaño C, Panetsos F. Chronic electrical stimulation of transected peripheral nerves preserves anatomy and function in the primary somatosensory cortex. Eur J Neurosci 2012; 36:3679-90. [DOI: 10.1111/ejn.12000] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2012] [Revised: 08/01/2012] [Accepted: 08/13/2012] [Indexed: 01/18/2023]
Affiliation(s)
- Celia Herrera-Rincon
- Neurocomputing and Neurorobotics Research Group; Universidad Complutense de Madrid; Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC); Madrid; Spain
| | - Carlos Torets
- Neurocomputing and Neurorobotics Research Group; Universidad Complutense de Madrid; Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC); Madrid; Spain
| | | | - Carlos Avendaño
- Department of Anatomy, Histology and Neuroscience; Universidad Autonoma de Madrid; Madrid; Spain
| | - Fivos Panetsos
- Neurocomputing and Neurorobotics Research Group; Universidad Complutense de Madrid; Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC); Madrid; Spain
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Imaging the spatio-temporal dynamics of supragranular activity in the rat somatosensory cortex in response to stimulation of the paws. PLoS One 2012; 7:e40174. [PMID: 22829873 PMCID: PMC3400596 DOI: 10.1371/journal.pone.0040174] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2012] [Accepted: 06/03/2012] [Indexed: 11/25/2022] Open
Abstract
We employed voltage-sensitive dye (VSD) imaging to investigate the spatio-temporal dynamics of the responses of the supragranular somatosensory cortex to stimulation of the four paws in urethane-anesthetized rats. We obtained the following main results. (1) Stimulation of the contralateral forepaw evoked VSD responses with greater amplitude and smaller latency than stimulation of the contralateral hindpaw, and ipsilateral VSD responses had a lower amplitude and greater latency than contralateral responses. (2) While the contralateral stimulation initially activated only one focus, the ipsilateral stimulation initially activated two foci: one focus was typically medial to the focus activated by contralateral stimulation and was stereotaxically localized in the motor cortex; the other focus was typically posterior to the focus activated by contralateral stimulation and was stereotaxically localized in the somatosensory cortex. (3) Forepaw and hindpaw somatosensory stimuli activated large areas of the sensorimotor cortex, well beyond the forepaw and hindpaw somatosensory areas of classical somatotopic maps, and forepaw stimuli activated larger cortical areas with greater activation velocity than hindpaw stimuli. (4) Stimulation of the forepaw and hindpaw evoked different cortical activation dynamics: forepaw responses displayed a clear medial directionality, whereas hindpaw responses were much more uniform in all directions. In conclusion, this work offers a complete spatio-temporal map of the supragranular VSD cortical activation in response to stimulation of the paws, showing important somatotopic differences between contralateral and ipsilateral maps as well as differences in the spatio-temporal activation dynamics in response to forepaw and hindpaw stimuli.
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Feldmeyer D. Excitatory neuronal connectivity in the barrel cortex. Front Neuroanat 2012; 6:24. [PMID: 22798946 PMCID: PMC3394394 DOI: 10.3389/fnana.2012.00024] [Citation(s) in RCA: 208] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2012] [Accepted: 06/15/2012] [Indexed: 01/18/2023] Open
Abstract
Neocortical areas are believed to be organized into vertical modules, the cortical columns, and the horizontal layers 1–6. In the somatosensory barrel cortex these columns are defined by the readily discernible barrel structure in layer 4. Information processing in the neocortex occurs along vertical and horizontal axes, thereby linking individual barrel-related columns via axons running through the different cortical layers of the barrel cortex. Long-range signaling occurs within the neocortical layers but also through axons projecting through the white matter to other neocortical areas and subcortical brain regions. Because of the ease of identification of barrel-related columns, the rodent barrel cortex has become a prototypical system to study the interactions between different neuronal connections within a sensory cortical area and between this area and other cortical as well subcortical regions. Such interactions will be discussed specifically for the feed-forward and feedback loops between the somatosensory and the somatomotor cortices as well as the different thalamic nuclei. In addition, recent advances concerning the morphological characteristics of excitatory neurons and their impact on the synaptic connectivity patterns and signaling properties of neuronal microcircuits in the whisker-related somatosensory cortex will be reviewed. In this context, their relationship between the structural properties of barrel-related columns and their function as a module in vertical synaptic signaling in the whisker-related cortical areas will be discussed.
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Affiliation(s)
- Dirk Feldmeyer
- Institute of Neuroscience and Medicine, INM-2, Research Centre Jülich Jülich, Germany
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Sachdev RNS, Krause MR, Mazer JA. Surround suppression and sparse coding in visual and barrel cortices. Front Neural Circuits 2012; 6:43. [PMID: 22783169 PMCID: PMC3389675 DOI: 10.3389/fncir.2012.00043] [Citation(s) in RCA: 49] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2012] [Accepted: 06/17/2012] [Indexed: 12/03/2022] Open
Abstract
During natural vision the entire retina is stimulated. Likewise, during natural tactile behaviors, spatially extensive regions of the somatosensory surface are co-activated. The large spatial extent of naturalistic stimulation means that surround suppression, a phenomenon whose neural mechanisms remain a matter of debate, must arise during natural behavior. To identify common neural motifs that might instantiate surround suppression across modalities, we review models of surround suppression and compare the evidence supporting the competing ideas that surround suppression has either cortical or sub-cortical origins in visual and barrel cortex. In the visual system there is general agreement lateral inhibitory mechanisms contribute to surround suppression, but little direct experimental evidence that intracortical inhibition plays a major role. Two intracellular recording studies of V1, one using naturalistic stimuli (Haider et al., 2010), the other sinusoidal gratings (Ozeki et al., 2009), sought to identify the causes of reduced activity in V1 with increasing stimulus size, a hallmark of surround suppression. The former attributed this effect to increased inhibition, the latter to largely balanced withdrawal of excitation and inhibition. In rodent primary somatosensory barrel cortex, multi-whisker responses are generally weaker than single whisker responses, suggesting multi-whisker stimulation engages similar surround suppressive mechanisms. The origins of suppression in S1 remain elusive: studies have implicated brainstem lateral/internuclear interactions and both thalamic and cortical inhibition. Although the anatomical organization and instantiation of surround suppression in the visual and somatosensory systems differ, we consider the idea that one common function of surround suppression, in both modalities, is to remove the statistical redundancies associated with natural stimuli by increasing the sparseness or selectivity of sensory responses.
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Abstract
Diabetics are at greater risk of having a stroke and are less likely to recover from it. To understand this clinically relevant problem, we induced an ischemic stroke in the primary forelimb somatosensory (FLS1) cortex of diabetic mice and then examined sensory-evoked changes in cortical membrane potentials and behavioral recovery of forelimb sensory-motor function. Consistent with previous studies, focal stroke in non-diabetic mice was associated with acute deficits in forelimb sensorimotor function and a loss of forelimb evoked cortical depolarizations in peri-infarct cortex that gradually recovered over several weeks time. In addition, we discovered that damage to FLS1 cortex led to an enhancement of forelimb evoked depolarizations in secondary forelimb somatosensory (FLS2) cortex. Enhanced FLS2 cortical responses appeared to play a role in stroke recovery given that silencing this region was sufficient to reinstate forelimb impairments. By contrast, the functional reorganization of FLS1 and FLS2 cortex was largely absent in diabetic mice and could not be explained by more severe cortical infarctions. Diabetic mice also showed persistent behavioral deficits in sensorimotor function of the forepaw, which could not be rescued by chronic insulin therapy after stroke. Collectively these results indicate that diabetes has a profound effect on brain plasticity, especially when challenged, as is often the case, by an ischemic event. Further, our data suggest that secondary cortical regions play an important role in the restoration of sensorimotor function when primary cortical regions are damaged.
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Ward RL, Flores LC, Disterhoft JF. Infragranular barrel cortex activity is enhanced with learning. J Neurophysiol 2012; 108:1278-87. [PMID: 22696544 DOI: 10.1152/jn.00305.2012] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
The barrel cortex (BC) is essential for the acquisition of whisker-signaled trace eyeblink conditioning and shows learning-related expansion of the trained barrels after the acquisition of a whisker-signaled task. Most previous research examining the role of the BC in learning has focused on anatomic changes in the layer IV representation of the cortical barrels. We studied single-unit extracellular recordings from individual neurons in layers V and VI of the BC as rabbits acquired the whisker-signaled trace eyeblink conditioning task. Neurons in layers V and VI in both conditioned and pseudoconditioned animals robustly responded to whisker stimulation, but neurons in conditioned animals showed a significant enhancement in responsiveness in concert with learning. Learning-related changes in firing rate occurred as early as the day of learning criterion within the infragranular layers of the primary sensory cortex.
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Affiliation(s)
- Rebekah L Ward
- Dept. of Physiology, Interdepartamental Neuroscience Program, Northwestern Univ., Chicago, IL 60611, USA.
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35
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Hu L, Zhang ZG, Hu Y. A time-varying source connectivity approach to reveal human somatosensory information processing. Neuroimage 2012; 62:217-28. [PMID: 22580382 DOI: 10.1016/j.neuroimage.2012.03.094] [Citation(s) in RCA: 52] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2011] [Revised: 01/24/2012] [Accepted: 03/02/2012] [Indexed: 12/22/2022] Open
Abstract
Exploration of neural sources and their effective connectivity based on transient changes in electrophysiological activities to external stimuli is important for understanding brain mechanisms of sensory information processing. However, such cortical mechanisms have not yet been well characterized in electrophysiological studies since (1) it is difficult to estimate the stimulus-activated neural sources and their activities and (2) it is difficult to identify transient effective connectivity between neural sources in the order of milliseconds. To address these issues, we developed a time-varying source connectivity approach to effectively capture fast-changing information flows between neural sources from high-density Electroencephalography (EEG) recordings. This time-varying source connectivity approach was applied to somatosensory evoked potentials (SEPs), which were elicited by electrical stimulation of right hand and recorded using 64 channels from 16 subjects, to reveal human somatosensory information processing. First, SEP sources and their activities were estimated, both at single-subject and group level, using equivalent current dipolar source modeling. Then, the functional integration among SEP sources was explored using a Kalman smoother based time-varying effective connectivity inference method. The results showed that SEPs were mainly generated from the contralateral primary somatosensory cortex (SI), bilateral secondary somatosensory cortex (SII), and cingulate cortex (CC). Importantly, we observed a serial processing of somatosensory information in human somatosensory cortices (from SI to SII) at earlier latencies (<150 ms) and a reciprocal processing between SII and CC at later latencies (>200 ms).
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Affiliation(s)
- L Hu
- Key Laboratory of Cognition and Personality (Ministry of Education) and School of Psychology, Southwest University, Chongqing, China
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36
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Mao T, Kusefoglu D, Hooks BM, Huber D, Petreanu L, Svoboda K. Long-range neuronal circuits underlying the interaction between sensory and motor cortex. Neuron 2011; 72:111-23. [PMID: 21982373 PMCID: PMC5047281 DOI: 10.1016/j.neuron.2011.07.029] [Citation(s) in RCA: 357] [Impact Index Per Article: 27.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/29/2011] [Indexed: 10/17/2022]
Abstract
In the rodent vibrissal system, active sensation and sensorimotor integration are mediated in part by connections between barrel cortex and vibrissal motor cortex. Little is known about how these structures interact at the level of neurons. We used Channelrhodopsin-2 (ChR2) expression, combined with anterograde and retrograde labeling, to map connections between barrel cortex and pyramidal neurons in mouse motor cortex. Barrel cortex axons preferentially targeted upper layer (L2/3, L5A) neurons in motor cortex; input to neurons projecting back to barrel cortex was particularly strong. Barrel cortex input to deeper layers (L5B, L6) of motor cortex, including neurons projecting to the brainstem, was weak, despite pronounced geometric overlap of dendrites with axons from barrel cortex. Neurons in different layers received barrel cortex input within stereotyped dendritic domains. The cortico-cortical neurons in superficial layers of motor cortex thus couple motor and sensory signals and might mediate sensorimotor integration and motor learning.
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Affiliation(s)
- Tianyi Mao
- Janelia Farm Research Campus, HHMI, 19700 Helix Drive, Ashburn, VA 20147, USA
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37
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Hill DN, Curtis JC, Moore JD, Kleinfeld D. Primary motor cortex reports efferent control of vibrissa motion on multiple timescales. Neuron 2011; 72:344-56. [PMID: 22017992 PMCID: PMC3717360 DOI: 10.1016/j.neuron.2011.09.020] [Citation(s) in RCA: 133] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/19/2011] [Indexed: 10/16/2022]
Abstract
Exploratory whisking in rat is an example of self-generated movement on multiple timescales, from slow variations in the envelope of whisking to the rapid sequence of muscle contractions during a single whisk cycle. We find that, as a population, spike trains of single units in primary vibrissa motor cortex report the absolute angle of vibrissa position. This representation persists after sensory nerve transection, indicating an efferent source. About two-thirds of the units are modulated by slow variations in the envelope of whisking, while relatively few units report rapid changes in position within the whisk cycle. The combined results from this study and past measurements, which show that primary sensory cortex codes the whisking envelope as a motor copy signal, imply that signals present in both sensory and motor cortices are necessary to compute angular coordinates based on vibrissa touch.
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Affiliation(s)
- Daniel N. Hill
- Computational Neuroscience Graduate Program, University of California, San Diego, CA, USA
- Department of Physics, Division of Physical Sciences, University of California, San Diego, CA, USA
- Institute of Neuroscience, Technical University Munich, Germany
| | - John C. Curtis
- The Salk Institute for Biological Studies, San Diego, CA, USA
| | - Jeffrey D. Moore
- Computational Neuroscience Graduate Program, University of California, San Diego, CA, USA
- Department of Physics, Division of Physical Sciences, University of California, San Diego, CA, USA
| | - David Kleinfeld
- Computational Neuroscience Graduate Program, University of California, San Diego, CA, USA
- Department of Physics, Division of Physical Sciences, University of California, San Diego, CA, USA
- Section of Neurobiology, Division of Biological Sciences, University of California, San Diego, CA, USA
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38
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Bosman LWJ, Houweling AR, Owens CB, Tanke N, Shevchouk OT, Rahmati N, Teunissen WHT, Ju C, Gong W, Koekkoek SKE, De Zeeuw CI. Anatomical pathways involved in generating and sensing rhythmic whisker movements. Front Integr Neurosci 2011; 5:53. [PMID: 22065951 PMCID: PMC3207327 DOI: 10.3389/fnint.2011.00053] [Citation(s) in RCA: 158] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2011] [Accepted: 08/26/2011] [Indexed: 11/29/2022] Open
Abstract
The rodent whisker system is widely used as a model system for investigating sensorimotor integration, neural mechanisms of complex cognitive tasks, neural development, and robotics. The whisker pathways to the barrel cortex have received considerable attention. However, many subcortical structures are paramount to the whisker system. They contribute to important processes, like filtering out salient features, integration with other senses, and adaptation of the whisker system to the general behavioral state of the animal. We present here an overview of the brain regions and their connections involved in the whisker system. We do not only describe the anatomy and functional roles of the cerebral cortex, but also those of subcortical structures like the striatum, superior colliculus, cerebellum, pontomedullary reticular formation, zona incerta, and anterior pretectal nucleus as well as those of level setting systems like the cholinergic, histaminergic, serotonergic, and noradrenergic pathways. We conclude by discussing how these brain regions may affect each other and how they together may control the precise timing of whisker movements and coordinate whisker perception.
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Affiliation(s)
- Laurens W. J. Bosman
- Department of Neuroscience, Erasmus MCRotterdam, Netherlands
- Netherlands Institute for Neuroscience, Royal Academy of Arts and SciencesAmsterdam, Netherlands
| | | | - Cullen B. Owens
- Department of Neuroscience, Erasmus MCRotterdam, Netherlands
| | - Nouk Tanke
- Department of Neuroscience, Erasmus MCRotterdam, Netherlands
| | | | - Negah Rahmati
- Department of Neuroscience, Erasmus MCRotterdam, Netherlands
| | | | - Chiheng Ju
- Department of Neuroscience, Erasmus MCRotterdam, Netherlands
| | - Wei Gong
- Department of Neuroscience, Erasmus MCRotterdam, Netherlands
| | | | - Chris I. De Zeeuw
- Department of Neuroscience, Erasmus MCRotterdam, Netherlands
- Netherlands Institute for Neuroscience, Royal Academy of Arts and SciencesAmsterdam, Netherlands
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39
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Abstract
Large-scale neuronal networks integrating several cortical areas mediate the complex functions of the brain such as sensorimotor integration. Little is known about the functional development of these networks and the maturational processes by which distant networks become functionally connected. We addressed this question in the postnatal rat sensorimotor system. Using epicranial multielectrode grids that span most of the cortical surface and intracortical electrodes, we show that sensory evoked cortical responses continuously maturate throughout the first 3 weeks with the strongest developmental changes occurring in a very short time around postnatal day 13 (P13). Before P13, whisker stimulation evokes slow, initially surface-negative activity restricted mostly to the lateral parietal area of the contralateral hemisphere. In a narrow time window of ∼48 h around P13, a new early, sharp surface-positive component emerges that coincides with subsequent propagation of activity to sensory and motor areas of both hemispheres. Our data show that this new component developing at the end of the second week corresponds principally to functional maturation of the supragranular cortical layers and appears to be crucial for the functional associations in the large-scale sensorimotor cortical network. It goes along with the onset of whisking behavior, as well as major synaptic and functional changes within the S1 cortex that are known to develop during this period.
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40
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Rocco-Donovan M, Ramos RL, Giraldo S, Brumberg JC. Characteristics of synaptic connections between rodent primary somatosensory and motor cortices. Somatosens Mot Res 2011; 28:63-72. [PMID: 21879990 DOI: 10.3109/08990220.2011.606660] [Citation(s) in RCA: 47] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
The reciprocal connections between primary motor (M1) and primary somatosensory cortices (S1) are hypothesized to play a crucial role in the ability to update motor plans in response to changes in the sensory periphery. These interactions provide M1 with information about the sensory environment that in turn signals S1 with anticipatory knowledge of ongoing motor plans. In order to examine the synaptic basis of sensorimotor feedforward (S1-M1) and feedback (M1-S1) connections directly, we utilized whole-cell recordings in slices that preserve these reciprocal sensorimotor connections. Our findings indicate that these regions are connected via direct monosynaptic connections in both directions. Larger magnitude responses were observed in the feedforward direction (S1-M1), while the feedback (M1-S1) responses occurred at shorter latencies. The morphology as well as the intrinsic firing properties of the neurons in these pathways indicates that both excitatory and inhibitory neurons are targeted. Differences in synaptic physiology suggest that there exist specializations within the sensorimotor pathway that may allow for the rapid updating of sensory-motor processing within the cortex in response to changes in the sensory periphery.
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Affiliation(s)
- Mary Rocco-Donovan
- Neuropsychology PhD Subprogram (Psychology), The Graduate Center, CUNY, New York, USA
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41
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Bruno RM. Synchrony in sensation. Curr Opin Neurobiol 2011; 21:701-8. [PMID: 21723114 DOI: 10.1016/j.conb.2011.06.003] [Citation(s) in RCA: 93] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2011] [Revised: 06/06/2011] [Accepted: 06/07/2011] [Indexed: 11/25/2022]
Abstract
How neurons encode information has been a hotly debated issue. Ultimately, any code must be relevant to the senders, receivers, and connections between them. This review focuses on the transmission of sensory information through the circuit linking thalamus and cortex, two distant brain regions. Strong feedforward inhibition in the thalamocortical circuit renders cortex highly sensitive to the thalamic synchrony evoked by a sensory stimulus. Neuromodulators and feedback connections may modulate the temporal sensitivity of such circuits and gate the propagation of synchrony into other layers and cortical areas. The prevalence of strong feedforward inhibitory circuits throughout the central nervous system suggests that synchrony codes and timing-sensitive circuits may be widespread, occurring well beyond sensory thalamus and cortex.
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Affiliation(s)
- Randy M Bruno
- Department of Neuroscience and the Kavli Institute for Brain Science, Columbia University, New York, NY 10032, USA.
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42
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Pidoux M, Mahon S, Deniau JM, Charpier S. Integration and propagation of somatosensory responses in the corticostriatal pathway: an intracellular study in vivo. J Physiol 2011; 589:263-81. [PMID: 21059765 DOI: 10.1113/jphysiol.2010.199646] [Citation(s) in RCA: 38] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
The dorsolateral striatum is critically involved in the execution and learning of sensorimotor tasks. It is proposed that this striatal function is achieved by the integration of convergent somatosensory and motor corticostriatal (CS) inputs in striatal medium-spiny neurons (MSNs). However, the cellular mechanisms of integration and propagation of somatosensory information in the CS pathway remain unknown. Here, by means of in vivo intracellular recordings in the rat, we analysed how sensory events generated by multi-whisker deflection, which provide essential somaesthetic information in rodents, are processed in contralateral barrel cortex layer 5 neurons and in the related somatosensory striatal MSNs. Pyramidal layer 5 barrel cortex neurons, including neurons antidromically identified as CS, responded to whisker deflection by depolarizing post-synaptic potentials that could reliably generate action potential discharge. In contrast, only half of recorded somatosensory striatal MSNs displayed whisker-evoked synaptic depolarizations that were effective in eliciting action potentials in one-third of responding neurons. The remaining population of MSNs did not exhibit any detectable electrical events in response to whisker stimulation. The relative inconstancy of sensory-evoked responses in MSNs was due, at least in part, to a Cl(-)-dependent membrane conductance concomitant with the cortical inputs,which was probably caused by whisker-induced activation of striatal GABAergic interneurons. Our results suggest that the propagation of whisker-mediated sensory flow through the CS pathway results in a refinement of sensory information in the striatum, which might allow the selection of specific sets of MSNs that are functionally significant during a given somaesthetic-guided behaviour.
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Affiliation(s)
- Morgane Pidoux
- Centre de Recherche de l'Institut du Cerveau et de la Moelle épinière, UPMC/INSERM UMR-S 975, CNRS UMR 7225, Hôpital Pitié-Salpêtrière, Paris, France
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43
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Lee T, Alloway KD, Kim U. Interconnected cortical networks between primary somatosensory cortex septal columns and posterior parietal cortex in rat. J Comp Neurol 2011; 519:405-19. [PMID: 21192075 DOI: 10.1002/cne.22505] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Visual and somesthetic cues are used for spatial processing in the posterior parietal cortex (PPC) of the mammalian brain. In rats, somatic information collected by the mystacial whiskers is critically involved in constructing a neural representation of the external space. Here, we delineated the topography of the cortical pathway from the primary somatosensory cortex (SI) that may deliver vibrissal cues to PPC for spatial processing. For anterograde tracing, we made small injections of biotinylated dextran amine (BDA) into SI barrel cortex. The injections in the regions directly above the septal compartments produced dense terminals in PPC, whereas injections above the center of the barrels resulted in sparse terminals. For retrograde tracing, we made large injections of cholera toxin subunit B (CtB) in PPC. Retrogradely labeled neurons within SI barrel cortex formed multiple, parallel strips. In layer IV, these strips of labeled neurons were confined within the septal rows, extending from barrel arc position 0 to 5. In the extragranular layers, labeled neurons were clustered primarily within the vertical extensions of the septal rows and extended to the edges of neighboring barrel columns. Based on these findings, in which SI projections to PPC arise mainly from the septal columns, we hypothesize that septal columns may form interconnected cortical networks that engage in spatial information processing contingent on somestheic cues.
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Affiliation(s)
- Taehee Lee
- Department of Neurosurgery, Pennsylvania State University College of Medicine, Hershey, 17033, USA
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44
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Hooks BM, Hires SA, Zhang YX, Huber D, Petreanu L, Svoboda K, Shepherd GMG. Laminar analysis of excitatory local circuits in vibrissal motor and sensory cortical areas. PLoS Biol 2011; 9:e1000572. [PMID: 21245906 PMCID: PMC3014926 DOI: 10.1371/journal.pbio.1000572] [Citation(s) in RCA: 172] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2010] [Accepted: 11/18/2010] [Indexed: 11/26/2022] Open
Abstract
Optical and electrophysiological tools were used to map out the neural circuits within and between cortical layers in three different brain regions, and the results suggest regional specializations for sensory versus motor information processing. Rodents move their whiskers to locate and identify objects. Cortical areas involved in vibrissal somatosensation and sensorimotor integration include the vibrissal area of the primary motor cortex (vM1), primary somatosensory cortex (vS1; barrel cortex), and secondary somatosensory cortex (S2). We mapped local excitatory pathways in each area across all cortical layers using glutamate uncaging and laser scanning photostimulation. We analyzed these maps to derive laminar connectivity matrices describing the average strengths of pathways between individual neurons in different layers and between entire cortical layers. In vM1, the strongest projection was L2/3→L5. In vS1, strong projections were L2/3→L5 and L4→L3. L6 input and output were weak in both areas. In S2, L2/3→L5 exceeded the strength of the ascending L4→L3 projection, and local input to L6 was prominent. The most conserved pathways were L2/3→L5, and the most variable were L4→L2/3 and pathways involving L6. Local excitatory circuits in different cortical areas are organized around a prominent descending pathway from L2/3→L5, suggesting that sensory cortices are elaborations on a basic motor cortex-like plan. The neocortex of the mammalian brain is divided into different regions that serve specific functions. These include sensory areas for vision, hearing, and touch, and motor areas for directing aspects of movement. However, the similarities and differences in local circuit organization between these areas are not well understood. The cortex is a layered structure numbered in an outside-in fashion, such that layer 1 is closest to the cortical surface and layer 6 is deepest. Each layer harbors distinct cell types. The precise circuit wiring within and between these layers allows for specific functions performed by particular cortical regions. To directly compare circuits from distinct cortical areas, we combined optical and electrophysiological tools to map connections between layers in different brain regions. We examined three regions of mouse neocortex that are involved in active whisker sensation: vibrissal motor cortex (vM1), primary somatosensory cortex (vS1), and secondary somatosensory cortex (S2). Our results demonstrate that excitatory connections from layer 2/3 to layer 5 are prominent in all three regions. In contrast, strong ascending pathways from middle layers (layer 4) to superficial ones (layer 3) and local inputs to layer 6 were prominent only in the two sensory cortical areas. These results indicate that cortical circuits employ regional specializations when processing motor versus sensory information. Moreover, our data suggest that sensory cortices are elaborations on a basic motor cortical plan involving layer 2/3 to layer 5 pathways.
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Affiliation(s)
- B M Hooks
- Janelia Farm Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia, United States of America.
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45
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Desai M, Kahn I, Knoblich U, Bernstein J, Atallah H, Yang A, Kopell N, Buckner RL, Graybiel AM, Moore CI, Boyden ES. Mapping brain networks in awake mice using combined optical neural control and fMRI. J Neurophysiol 2010; 105:1393-405. [PMID: 21160013 DOI: 10.1152/jn.00828.2010] [Citation(s) in RCA: 199] [Impact Index Per Article: 14.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Behaviors and brain disorders involve neural circuits that are widely distributed in the brain. The ability to map the functional connectivity of distributed circuits, and to assess how this connectivity evolves over time, will be facilitated by methods for characterizing the network impact of activating a specific subcircuit, cell type, or projection pathway. We describe here an approach using high-resolution blood oxygenation level-dependent (BOLD) functional MRI (fMRI) of the awake mouse brain-to measure the distributed BOLD response evoked by optical activation of a local, defined cell class expressing the light-gated ion channel channelrhodopsin-2 (ChR2). The utility of this opto-fMRI approach was explored by identifying known cortical and subcortical targets of pyramidal cells of the primary somatosensory cortex (SI) and by analyzing how the set of regions recruited by optogenetically driven SI activity differs between the awake and anesthetized states. Results showed positive BOLD responses in a distributed network that included secondary somatosensory cortex (SII), primary motor cortex (MI), caudoputamen (CP), and contralateral SI (c-SI). Measures in awake compared with anesthetized mice (0.7% isoflurane) showed significantly increased BOLD response in the local region (SI) and indirectly stimulated regions (SII, MI, CP, and c-SI), as well as increased BOLD signal temporal correlations between pairs of regions. These collective results suggest opto-fMRI can provide a controlled means for characterizing the distributed network downstream of a defined cell class in the awake brain. Opto-fMRI may find use in examining causal links between defined circuit elements in diverse behaviors and pathologies.
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Affiliation(s)
- M Desai
- McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA
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Aronoff R, Matyas F, Mateo C, Ciron C, Schneider B, Petersen CC. Long-range connectivity of mouse primary somatosensory barrel cortex. Eur J Neurosci 2010; 31:2221-33. [DOI: 10.1111/j.1460-9568.2010.07264.x] [Citation(s) in RCA: 232] [Impact Index Per Article: 16.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Avivi-Arber L, Lee JC, Sessle BJ. Effects of incisor extraction on jaw and tongue motor representations within face sensorimotor cortex of adult rats. J Comp Neurol 2010; 518:1030-45. [DOI: 10.1002/cne.22261] [Citation(s) in RCA: 48] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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48
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Sato TR, Svoboda K. The functional properties of barrel cortex neurons projecting to the primary motor cortex. J Neurosci 2010; 30:4256-60. [PMID: 20335461 PMCID: PMC6634518 DOI: 10.1523/jneurosci.3774-09.2010] [Citation(s) in RCA: 74] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2009] [Revised: 11/27/2009] [Accepted: 12/16/2009] [Indexed: 11/21/2022] Open
Abstract
Nearby neurons, sharing the same locations within the mouse whisker map, can have dramatically distinct response properties. To understand the significance of this diversity, we studied the relationship between the responses of individual neurons and their projection targets in the mouse barrel cortex. Neurons projecting to primary motor cortex (MI) or secondary somatosensory area (SII) were labeled with red fluorescent protein (RFP) using retrograde viral infection. We used in vivo two-photon Ca(2+) imaging to map the responses of RFP-positive and neighboring L2/3 neurons to whisker deflections. Neurons projecting to MI displayed larger receptive fields compared with other neurons, including those projecting to SII. Our findings support the view that intermingled neurons in primary sensory areas send specific stimulus features to different parts of the brain.
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Affiliation(s)
- Takashi R Sato
- Janelia Farm Research Campus, Howard Hughes Medical Institute, 19700 Helix Drive, Ashburn, VA 20147, USA.
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Im CH, Jung YJ, Lee S, Koh D, Kim DW, Kim BM. Estimation of directional coupling between cortical areas using Near-Infrared Spectroscopy (NIRS). OPTICS EXPRESS 2010; 18:5730-9. [PMID: 20389589 DOI: 10.1364/oe.18.005730] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Abstract
This study invesitigated the feasibility of measuring directional coupling between cortical areas with near-infrared spectroscopy (NIRS). Cerebral hemodynamic responses were recorded at the primary somatosensory cortex (S1), secondary somatosensory cortex (S2), and primary motor cortex (M1) regions of the rat barrel cortex during electrical stimulation of rat whiskers. Deoxyhemoglobin concentration changes were calculated from NIRS recordings and the Granger causality based on the multivariate autoregressive (MVAR) model was used to estimate the effective causal connectivity among S1, S2, and M1. The estimated causality patterns of seven rats showed consistent unidirectional coupling between the somatosensory areas and the motor areas (S1 and S2-->M1), which coincided well with our hypothesis because the rats' motor function was completely anesthetized. Our preliminary results suggest that cortico-cortical directional coupling can be successfully investigated with NIRS.
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Affiliation(s)
- Chang-Hwan Im
- Department of Biomedical Engineering, Yonsei University, 234 Maeji-ri, Heungeop-myun, Wonju-si, Kangwon-do,220-710, Korea
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Furuta T, Urbain N, Kaneko T, Deschênes M. Corticofugal control of vibrissa-sensitive neurons in the interpolaris nucleus of the trigeminal complex. J Neurosci 2010; 30:1832-8. [PMID: 20130192 PMCID: PMC6633989 DOI: 10.1523/jneurosci.4274-09.2010] [Citation(s) in RCA: 36] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2009] [Revised: 11/13/2009] [Accepted: 12/14/2009] [Indexed: 11/21/2022] Open
Abstract
Trigeminal sensory nuclei that give rise to ascending pathways of vibrissal information are heavily linked by intersubnuclear connections. This is the case, for instance, of the principal trigeminal nucleus, which receives strong inhibitory input from the caudal sector of the interpolaris subnucleus. Because this inhibitory input can gate the relay of sensory messages through the lemniscal pathway, a central issue in vibrissal physiology is how brain regions that project to the interpolaris control the activity of inhibitory cells. In the present study, we examined how corticotrigeminal neurons of the primary and second somatosensory cortical areas control the excitability of interpolaris cells. Results show that these two cortical areas exert a differential control over the excitability of projection cells and intersubnuclear interneurons, and that this control also involves the recruitment of inhibitory cells in the caudalis subnucleus. These results provide a basic circuitry for a mechanism of disinhibition through which the cerebral cortex can control the relay of sensory messages in the lemniscal pathway. It is proposed that top-down control of brainstem circuits is prompted by motor strategies, expectations, and motivational states of the animal.
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Affiliation(s)
- Takahiro Furuta
- Department of Morphological Brain Science, Graduate School of Medicine, Kyoto University, Kyoto 606-8501, Japan, and
| | - Nadia Urbain
- Centre de Recherche Université Laval Robert-Giffard, Québec City, Québec G1J 2G3, Canada
| | - Takeshi Kaneko
- Department of Morphological Brain Science, Graduate School of Medicine, Kyoto University, Kyoto 606-8501, Japan, and
| | - Martin Deschênes
- Centre de Recherche Université Laval Robert-Giffard, Québec City, Québec G1J 2G3, Canada
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