1
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Keum D, Medina AE. The effect of developmental alcohol exposure on multisensory integration is larger in deeper cortical layers. Alcohol 2024:S0741-8329(24)00032-6. [PMID: 38417561 PMCID: PMC11345874 DOI: 10.1016/j.alcohol.2024.02.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 02/23/2024] [Accepted: 02/23/2024] [Indexed: 03/01/2024]
Abstract
Fetal Alcohol Spectrum Disorders (FASD) are one of the most common causes of mental disability in the world. Despite efforts to increase public awareness of the risks of drinking during pregnancy, epidemiological studies indicate a prevalence of 1-6% in all births. There is growing evidence that deficits in sensory processing may contribute to social problems observed in FASD. Multisensory (MS) integration occurs when a combination of inputs from two sensory modalities leads to enhancement or suppression of neuronal firing. MS enhancement is usually linked to processes that facilitate cognition and reaction time, whereas MS suppression has been linked to filtering unwanted sensory information. The rostral portion of the posterior parietal cortex (PPr) of the ferret is an area that shows robust visual-tactile integration and displays both MS enhancement and suppression. Recently, our lab demonstrated that ferrets exposed to alcohol during the "third trimester equivalent" of human gestation show less MS enhancement and more MS suppression in PPr than controls. Here we complement these findings by comparing in vivo electrophysiological recordings from channels located in shallow and deep cortical layers. We observed that while the effects of alcohol (less MS enhancement and more MS suppression) were found in all layers, the magnitude of these effects were more pronounced in putative layers V-VI. These findings extend our knowledge on the sensory deficits of FASD.
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Affiliation(s)
- Dongil Keum
- Department of Pediatrics, University of Maryland, School of Medicine. 655 Baltimore, St. Baltimore, MD, 21230
| | - Alexandre E Medina
- Department of Pediatrics, University of Maryland, School of Medicine. 655 Baltimore, St. Baltimore, MD, 21230.
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2
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Van Derveer AB, Ross JM, Hamm JP. Robust multisensory deviance detection in the mouse parietal associative area. Curr Biol 2023; 33:3969-3976.e4. [PMID: 37643621 PMCID: PMC10529873 DOI: 10.1016/j.cub.2023.08.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 07/24/2023] [Accepted: 08/01/2023] [Indexed: 08/31/2023]
Abstract
Context modulates how information is processed in the mammalian brain. For example, brain responses are amplified to contextually unusual stimuli. This phenomenon, known as "deviance detection,"1,2 is well documented in early, primary sensory cortex, where large responses are generated to simple stimuli that deviate from their context in low-order properties, such as line orientation, size, or pitch.2,3,4,5 However, the extent to which neural deviance detection manifests (1) in broader cortical networks and (2) to simple versus complex stimuli, which deviate only in their higher-order, multisensory properties, is not known. Consistent with a predictive processing framework,6,7 we hypothesized that deviance detection manifests in a hierarchical manner across cortical networks,8,9 emerging later and further downstream when stimulus deviance is complex. To test this, we examined brain responses of awake mice to simple unisensory deviants (e.g., visual line gratings, deviating from context in their orientation alone) versus complex multisensory deviants (i.e., audiovisual pairs, deviating from context only in their audiovisual pairing but not visual or auditory content alone). We find that mouse parietal associative area-a higher cortical region-displays robust multisensory deviance detection. In contrast, primary visual cortex exhibits strong unisensory visual deviance detection but weaker multisensory deviance detection. These results suggest that deviance detection signals in the cortex may be conceptualized as "prediction errors," which are primarily fed forward-or downstream-in cortical networks.6,7.
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Affiliation(s)
- Alice B Van Derveer
- Neuroscience Institute, Georgia State University, Petit Science Center, 100 Piedmont Avenue, Atlanta, GA 30303, USA
| | - Jordan M Ross
- Neuroscience Institute, Georgia State University, Petit Science Center, 100 Piedmont Avenue, Atlanta, GA 30303, USA; Center for Behavioral Neuroscience, Georgia State University, Petit Science Center, 100 Piedmont Avenue, Atlanta, GA 30303, USA
| | - Jordan P Hamm
- Neuroscience Institute, Georgia State University, Petit Science Center, 100 Piedmont Avenue, Atlanta, GA 30303, USA; Center for Behavioral Neuroscience, Georgia State University, Petit Science Center, 100 Piedmont Avenue, Atlanta, GA 30303, USA; Center for Neuroinflammation and Cardiometabolic Diseases, Georgia State University, Petit Science Center, 100 Piedmont Avenue, Atlanta, GA 30303, USA.
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3
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Medina AE, Foxworthy WA, Keum D, Meredith MA. Development of multisensory processing in ferret parietal cortex. Eur J Neurosci 2023; 58:3226-3238. [PMID: 37452674 PMCID: PMC10503439 DOI: 10.1111/ejn.16094] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 06/20/2023] [Accepted: 07/03/2023] [Indexed: 07/18/2023]
Abstract
It is well known that the nervous system adjusts itself to its environment during development. Although a great deal of effort has been directed towards understanding the developmental processes of the individual sensory systems (e.g., vision, hearing, etc.), only one major study has examined the maturation of multisensory processing in cortical neurons. Therefore, the present investigation sought to evaluate multisensory development in a different cortical region and species. Using multiple single-unit recordings in anaesthetised ferrets (n = 18) of different ages (from postnatal day 80 to 300), we studied the responses of neurons from the rostral posterior parietal (PPr) area to presentations of visual, tactile and combined visual-tactile stimulation. The results showed that multisensory neurons were infrequent at the youngest ages (pre-pubertal) and progressively increased through the later ages. Significant response changes that result from multisensory stimulation (defined as multisensory integration [MSI]) were observed in post-pubertal adolescent animals, and the magnitude of these integrated responses also increased across this age group. Furthermore, non-significant multisensory response changes were progressively increased in adolescent animals. Collectively, at the population level, MSI was observed to shift from primarily suppressive levels in infants to increasingly higher levels in later stages. These data indicate that, like the unisensory systems from which it is derived, multisensory processing shows developmental changes whose specific time course may be regionally and species-dependent.
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Affiliation(s)
- Alexandre E. Medina
- Department of Pediatrics, University of Maryland, School of Medicine, Baltimore, MD
| | - W. Alex Foxworthy
- Department of Anatomy and Neurobiology, Virginia Commonwealth University, Richmond, VA
- Department of Biology, Eastern Shore Community College, Melfa, VA
| | - Dongil Keum
- Department of Pediatrics, University of Maryland, School of Medicine, Baltimore, MD
| | - M. Alex Meredith
- Department of Anatomy and Neurobiology, Virginia Commonwealth University, Richmond, VA
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4
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Van Derveer AB, Ross JM, Hamm JP. Multimodal mismatch responses in associative but not primary visual cortex support hierarchical predictive coding in cortical networks. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.04.12.536573. [PMID: 37090646 PMCID: PMC10120723 DOI: 10.1101/2023.04.12.536573] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/25/2023]
Abstract
A key function of the mammalian neocortex is to process sensory data in the context of current and past stimuli. Primary sensory cortices, such as V1, respond weakly to stimuli that typical in their context but strongly to novel stimuli, an effect known as "deviance detection". How deviance detection occurs in associative cortical regions that are downstream of V1 is not well-understood. Here we investigated parietal associative area (PTLp) responses to auditory, visual, and audio-visual mismatches with two-photon calcium imaging and local field potential recordings. We employed basic unisensory auditory and visual oddball paradigms as well as a novel multisensory oddball paradigm, involving typical parings (VaAc or VbAd) presented at p=.88 with rare "deviant" pairings (e.g. VaAd or VbAc) presented at p=.12. We found that PTLp displayed robust deviance detection responses to auditory-visual mismatches, both in individual neurons and in population theta and gamma-band oscillations. In contrast, V1 neurons displayed deviance detection only to visual deviants in a unisensory context, but not to auditory or auditory-visual mismatches. Taken together, these results accord with a predictive processing framework for cortical responses, wherein modality specific prediction errors (i.e. deviance detection responses) are computed in functionally specified cortical areas and feed-forward to update higher brain regions.
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5
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Keum D, Pultorak K, Meredith MA, Medina AE. Effects of developmental alcohol exposure on cortical multisensory integration. Eur J Neurosci 2023; 57:784-795. [PMID: 36610022 PMCID: PMC9991967 DOI: 10.1111/ejn.15907] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 12/08/2022] [Accepted: 01/03/2023] [Indexed: 01/09/2023]
Abstract
Fetal alcohol spectrum disorder (FASD) is one of the most common causes of mental disabilities in the world with a prevalence of 1%-6% of all births. Sensory processing deficits and cognitive problems are a major feature in this condition. Because developmental alcohol exposure can impair neuronal plasticity, and neuronal plasticity is crucial for the establishment of neuronal circuits in sensory areas, we predicted that exposure to alcohol during the third trimester equivalent of human gestation would disrupt the development of multisensory integration (MSI) in the rostral portion of the posterior parietal cortex (PPr), an integrative visual-tactile area. We conducted in vivo electrophysiology in 17 ferrets from four groups (saline/alcohol; infancy/adolescence). A total of 1157 neurons were recorded after visual, tactile and combined visual-tactile stimulation. A multisensory (MS) enhancement or suppression is characterized by a significantly increased or decreased number of elicited spikes after combined visual-tactile stimulation compared to the strongest unimodal (visual or tactile) response. At the neuronal level, those in infant animals were more prone to show MS suppression whereas adolescents were more prone to show MS enhancement. Although alcohol-treated animals showed similar developmental changes between infancy and adolescence, they always 'lagged behind' controls showing more MS suppression and less enhancement. Our findings suggest that alcohol exposure during the last months of human gestation would stunt the development of MSI, which could underlie sensory problems seen in FASD.
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Affiliation(s)
- Dongil Keum
- Department of Pediatrics, University of Maryland, School of Medicine. Baltimore, MD
| | - Katie Pultorak
- Department of Pediatrics, University of Maryland, School of Medicine. Baltimore, MD
| | - M. Alex Meredith
- Department of Anatomy and Neurobiology, Virginia Commonwealth University. Richmond VA
| | - Alexandre E. Medina
- Department of Pediatrics, University of Maryland, School of Medicine. Baltimore, MD
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6
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Merrikhi Y, Kok MA, Carrasco A, Meredith MA, Lomber SG. MULTISENSORY RESPONSES IN A BELT REGION OF THE DORSAL AUDITORY CORTICAL PATHWAY. Eur J Neurosci 2021; 55:589-610. [PMID: 34927294 DOI: 10.1111/ejn.15573] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Revised: 12/13/2021] [Accepted: 12/14/2021] [Indexed: 11/30/2022]
Abstract
A basic function of the cerebral cortex is to receive and integrate information from different sensory modalities into a comprehensive percept of the environment. Neurons that demonstrate multisensory convergence occur across the necortex, but are especially prevalent in higher-order, association areas. However, a recent study of a cat higher-order auditory area, the dorsal zone (DZ) of auditory cortex, did not observe any multisensory features. Therefore, the goal of the present investigation was to address this conflict using recording and testing methodologies that are established for exposing and studying multisensory neuronal processing. Among the 482 neurons studied, we found that 76.6% were influenced by non-auditory stimuli. Of these neurons, 99% were affected by visual stimulation, but only 11% by somatosensory. Furthermore, a large proportion of the multisensory neurons showed integrated responses to multisensory stimulation, constituted a majority of the excitatory and inhibitory neurons encountered (as identified by the duration of their waveshape), and exhibited a distinct spatial distribution within DZ. These findings demonstrate that the dorsal zone of auditory cortex robustly exhibits multisensory properties and that the proportions of multisensory neurons encountered are consistent with those identified in other higher-order cortices.
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Affiliation(s)
- Yaser Merrikhi
- Department of Physiology, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | - Melanie A Kok
- Graduate Program in Neuroscience, University of Western Ontario, London, Ontario, Canada
| | - Andres Carrasco
- Graduate Program in Neuroscience, University of Western Ontario, London, Ontario, Canada
| | - M Alex Meredith
- Department of Anatomy and Neurobiology, School of Medicine, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Stephen G Lomber
- Department of Physiology, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
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7
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A multisensory perspective onto primate pulvinar functions. Neurosci Biobehav Rev 2021; 125:231-243. [PMID: 33662442 DOI: 10.1016/j.neubiorev.2021.02.043] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Revised: 02/18/2021] [Accepted: 02/25/2021] [Indexed: 02/08/2023]
Abstract
Perception in ambiguous environments relies on the combination of sensory information from various sources. Most associative and primary sensory cortical areas are involved in this multisensory active integration process. As a result, the entire cortex appears as heavily multisensory. In this review, we focus on the contribution of the pulvinar to multisensory integration. This subcortical thalamic nucleus plays a central role in visual detection and selection at a fast time scale, as well as in the regulation of visual processes, at a much slower time scale. However, the pulvinar is also densely connected to cortical areas involved in multisensory integration. In spite of this, little is known about its multisensory properties and its contribution to multisensory perception. Here, we review the anatomical and functional organization of multisensory input to the pulvinar. We describe how visual, auditory, somatosensory, pain, proprioceptive and olfactory projections are differentially organized across the main subdivisions of the pulvinar and we show that topography is central to the organization of this complex nucleus. We propose that the pulvinar combines multiple sources of sensory information to enhance fast responses to the environment, while also playing the role of a general regulation hub for adaptive and flexible cognition.
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8
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Hu JM, Chen CH, Chen SQ, Ding SL. Afferent Projections to Area Prostriata of the Mouse. Front Neuroanat 2020; 14:605021. [PMID: 33328909 PMCID: PMC7728849 DOI: 10.3389/fnana.2020.605021] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Accepted: 10/02/2020] [Indexed: 12/02/2022] Open
Abstract
Area prostriata plays important roles in fast detection and analysis of peripheral visual information. It remains unclear whether the prostriata directly receives and integrates information from other modalities. To gain insight into this issue, we investigated brain-wide afferent projections to mouse prostriata. We find convergent projections to layer 1 of the prostriata from primary and association visual and auditory cortices; retrosplenial, lateral entorhinal, and anterior cingulate cortices; subiculum; presubiculum; and anterior thalamic nuclei. Innervation of layers 2-3 of the prostriata mainly originates from the presubiculum (including postsubiculum) and anterior midline thalamic region. Layer 5 of the prostriata mainly receives its inputs from medial entorhinal, granular retrosplenial, and medial orbitofrontal cortices and anteromedial thalamic nucleus while layer 6 gets its major inputs from ectorhinal, postrhinal, and agranular retrosplenial cortices. The claustrum, locus coeruleus, and basal forebrain provide relatively diffuse innervation to the prostriata. Moreover, Cre-dependent tracing in cortical areas reveals that the cells of origin of the prostriata inputs are located in layers 2-4 and 5 of the neocortical areas, layers 2 and 5 of the medial entorhinal cortex, and layer 5 of the retrosplenial cortex. These results indicate that the prostriata is a unique region where primary and association visual and auditory inputs directly integrate with many limbic inputs.
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Affiliation(s)
- Jin-Meng Hu
- Key Laboratory of Neuroscience, School of Basic Medical Sciences, Institute of Neuroscience, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Chang-Hui Chen
- Key Laboratory of Neuroscience, School of Basic Medical Sciences, Institute of Neuroscience, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Sheng-Qiang Chen
- Key Laboratory of Neuroscience, School of Basic Medical Sciences, Institute of Neuroscience, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Song-Lin Ding
- Key Laboratory of Neuroscience, School of Basic Medical Sciences, Institute of Neuroscience, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
- Allen Institute for Brain Science, Seattle, WA, United States
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9
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Akgul Caglar T, Durdu ZB, Turhan MU, Gunal MY, Aydın MS, Ozturk G, Cagavi E. Evaluation of the bilateral cardiac afferent distribution at the spinal and vagal ganglia by retrograde labeling. Brain Res 2020; 1751:147201. [PMID: 33171152 DOI: 10.1016/j.brainres.2020.147201] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Revised: 10/08/2020] [Accepted: 11/03/2020] [Indexed: 12/20/2022]
Abstract
The identity of sensory neurons innervating the heart tissue and the extent of information reported to the brain via these neurons are poorly understood. In order to evaluate the multidimensional distribution and abundance of the cardiac spinal and vagal afferents, we assessed the retrograde labeling efficiency of various tracers, and mapped the cardiac afferents qualitatively and quantitatively at the bilateral nodose ganglia (NGs) and dorsal root ganglia (DRGs). From the five different retrograde tracers evaluated, Di-8-ANEPPQ yielded reproducibly the highest labeling efficiency of cardiac afferents. We demonstrated specific cardiac afferents at NGs and C4 to T11 DRG segments. Next, the 2D reconstruction of the tissue sections and 3D imaging of the whole NGs and DRGs revealed homogeneous and bilateral distribution of cardiac afferents. The quantitative analyses of the labeled cardiac afferents demonstrated approximately 5-6% of the soma in NGs that were equally distributed bilaterally. The neuronal character of Di-8-ANEPPQ labeled cells were validated by coimmunostaning with pan-neuronal marker Tuj-1. In addition, the cell diameters of labeled cardiac sensory neurons were found smaller than 20 μm, implying the nociceptor phenotype confirmed by co-labeling with TRPV1 and Di-8-ANEPPQ. Importantly, co-labeling with two distinct tracers Di-8-ANEPPQ and WGA-647 demonstrated exclusively the same cardiac afferents in DRGs and NGs, validating our findings. Collectively, our findings revealed the cardiac afferents in NGs bilaterally and DRGs with the highest labeling efficiency reported, spatial distribution and quantitation at both 2D and 3D levels, furthering our understanding of this novel neuron population.
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Affiliation(s)
- T Akgul Caglar
- Regenerative and Restorative Medicine Research Center (REMER), Research Institute for Health Sciences and Technologies (SABITA), Istanbul Medipol University, Istanbul, Turkey; Neuroscience Program, Institute of Health Sciences, Istanbul Medipol University, Istanbul, Turkey
| | - Z B Durdu
- Regenerative and Restorative Medicine Research Center (REMER), Research Institute for Health Sciences and Technologies (SABITA), Istanbul Medipol University, Istanbul, Turkey; Medical Biology and Genetics Program, Institute of Health Sciences, Istanbul Medipol University, Istanbul, Turkey
| | - M U Turhan
- School of Medicine, Istanbul Medipol University, Istanbul, Turkey
| | - M Y Gunal
- Department of Physiology, School of Medicine, Alanya Alaaddin Keykubat University, Antalya, Turkey
| | - M S Aydın
- Regenerative and Restorative Medicine Research Center (REMER), Research Institute for Health Sciences and Technologies (SABITA), Istanbul Medipol University, Istanbul, Turkey
| | - G Ozturk
- Regenerative and Restorative Medicine Research Center (REMER), Research Institute for Health Sciences and Technologies (SABITA), Istanbul Medipol University, Istanbul, Turkey; Neuroscience Program, Institute of Health Sciences, Istanbul Medipol University, Istanbul, Turkey; Department of Physiology, School of Medicine, Istanbul Medipol University, Istanbul, Turkey
| | - E Cagavi
- Regenerative and Restorative Medicine Research Center (REMER), Research Institute for Health Sciences and Technologies (SABITA), Istanbul Medipol University, Istanbul, Turkey; Medical Biology and Genetics Program, Institute of Health Sciences, Istanbul Medipol University, Istanbul, Turkey; Department of Medical Biology, School of Medicine, Istanbul Medipol University, Istanbul, Turkey.
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10
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Motor learning induces plastic changes in Purkinje cell dendritic spines in the rat cerebellum. NEUROLOGÍA (ENGLISH EDITION) 2020. [DOI: 10.1016/j.nrleng.2019.06.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
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11
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Nigro MJ. Sense and Action across the Layers of the Rat Posterior Parietal Cortex. J Neurosci 2020; 40:1606-1607. [PMID: 32075948 PMCID: PMC7046335 DOI: 10.1523/jneurosci.2289-19.2019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Revised: 12/11/2019] [Accepted: 12/21/2019] [Indexed: 11/21/2022] Open
Affiliation(s)
- Maximiliano José Nigro
- Centre for Neural Computation, Egil and Pauline Braathen and Fred Kavli Centre for Cortical Microcircuits, Kavli Institute for Systems Neuroscience, Norwegian University of Science and Technology, NO-7491 Trondheim, Norway
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12
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Meredith MA, Keniston LP, Prickett EH, Bajwa M, Cojanu A, Clemo HR, Allman BL. What is a multisensory cortex? A laminar, connectional, and functional study of a ferret temporal cortical multisensory area. J Comp Neurol 2020; 528:1864-1882. [PMID: 31955427 DOI: 10.1002/cne.24859] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2019] [Revised: 01/13/2020] [Accepted: 01/13/2020] [Indexed: 01/24/2023]
Abstract
Now that examples of multisensory neurons have been observed across the neocortex, this has led to some confusion about the features that actually designate a region as "multisensory." While the documentation of multisensory effects within many different cortical areas is clear, often little information is available about their proportions or net functional effects. To assess the compositional and functional features that contribute to the multisensory nature of a region, the present investigation used multichannel neuronal recording and tract tracing methods to examine the ferret temporal region: the lateral rostral suprasylvian sulcal area. Here, auditory-tactile multisensory neurons were predominant and constituted the majority of neurons across all cortical layers whose responses dominated the net spiking activity of the area. These results were then compared with a literature review of cortical multisensory data and were found to closely resemble multisensory features of other, higher-order sensory areas. Collectively, these observations argue that multisensory processing presents itself in hierarchical and area-specific ways, from regions that exhibit few multisensory features to those whose composition and processes are dominated by multisensory activity. It seems logical that the former exhibit some multisensory features (among many others), while the latter are legitimately designated as "multisensory."
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Affiliation(s)
- M Alex Meredith
- Department of Anatomy and Neurobiology, Virginia Commonwealth University School of Medicine, Richmond, Virginia
| | - Leslie P Keniston
- Department of Anatomy and Neurobiology, Virginia Commonwealth University School of Medicine, Richmond, Virginia
| | - Elizabeth H Prickett
- Department of Anatomy and Neurobiology, Virginia Commonwealth University School of Medicine, Richmond, Virginia
| | - Moazzum Bajwa
- Department of Anatomy and Neurobiology, Virginia Commonwealth University School of Medicine, Richmond, Virginia
| | - Alexandru Cojanu
- Department of Anatomy and Neurobiology, Virginia Commonwealth University School of Medicine, Richmond, Virginia
| | - H Ruth Clemo
- Department of Anatomy and Neurobiology, Virginia Commonwealth University School of Medicine, Richmond, Virginia
| | - Brian L Allman
- Department of Anatomy and Neurobiology, Virginia Commonwealth University School of Medicine, Richmond, Virginia
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13
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Meijer GT, Mertens PEC, Pennartz CMA, Olcese U, Lansink CS. The circuit architecture of cortical multisensory processing: Distinct functions jointly operating within a common anatomical network. Prog Neurobiol 2019; 174:1-15. [PMID: 30677428 DOI: 10.1016/j.pneurobio.2019.01.004] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2017] [Revised: 12/21/2018] [Accepted: 01/21/2019] [Indexed: 12/16/2022]
Abstract
Our perceptual systems continuously process sensory inputs from different modalities and organize these streams of information such that our subjective representation of the outside world is a unified experience. By doing so, they also enable further cognitive processing and behavioral action. While cortical multisensory processing has been extensively investigated in terms of psychophysics and mesoscale neural correlates, an in depth understanding of the underlying circuit-level mechanisms is lacking. Previous studies on circuit-level mechanisms of multisensory processing have predominantly focused on cue integration, i.e. the mechanism by which sensory features from different modalities are combined to yield more reliable stimulus estimates than those obtained by using single sensory modalities. In this review, we expand the framework on the circuit-level mechanisms of cortical multisensory processing by highlighting that multisensory processing is a family of functions - rather than a single operation - which involves not only the integration but also the segregation of modalities. In addition, multisensory processing not only depends on stimulus features, but also on cognitive resources, such as attention and memory, as well as behavioral context, to determine the behavioral outcome. We focus on rodent models as a powerful instrument to study the circuit-level bases of multisensory processes, because they enable combining cell-type-specific recording and interventional techniques with complex behavioral paradigms. We conclude that distinct multisensory processes share overlapping anatomical substrates, are implemented by diverse neuronal micro-circuitries that operate in parallel, and are flexibly recruited based on factors such as stimulus features and behavioral constraints.
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Affiliation(s)
- Guido T Meijer
- Swammerdam Institute for Life Sciences, University of Amsterdam, Science Park 904, 1098XH Amsterdam, the Netherlands.
| | - Paul E C Mertens
- Swammerdam Institute for Life Sciences, University of Amsterdam, Science Park 904, 1098XH Amsterdam, the Netherlands.
| | - Cyriel M A Pennartz
- Swammerdam Institute for Life Sciences, University of Amsterdam, Science Park 904, 1098XH Amsterdam, the Netherlands; Research Priority Program Brain and Cognition, University of Amsterdam, Science Park 904, 1098XH Amsterdam, the Netherlands.
| | - Umberto Olcese
- Swammerdam Institute for Life Sciences, University of Amsterdam, Science Park 904, 1098XH Amsterdam, the Netherlands; Research Priority Program Brain and Cognition, University of Amsterdam, Science Park 904, 1098XH Amsterdam, the Netherlands.
| | - Carien S Lansink
- Swammerdam Institute for Life Sciences, University of Amsterdam, Science Park 904, 1098XH Amsterdam, the Netherlands; Research Priority Program Brain and Cognition, University of Amsterdam, Science Park 904, 1098XH Amsterdam, the Netherlands.
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14
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Olcese U, Oude Lohuis MN, Pennartz CMA. Sensory Processing Across Conscious and Nonconscious Brain States: From Single Neurons to Distributed Networks for Inferential Representation. Front Syst Neurosci 2018; 12:49. [PMID: 30364373 PMCID: PMC6193318 DOI: 10.3389/fnsys.2018.00049] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2018] [Accepted: 09/25/2018] [Indexed: 11/29/2022] Open
Abstract
Neuronal activity is markedly different across brain states: it varies from desynchronized activity during wakefulness to the synchronous alternation between active and silent states characteristic of deep sleep. Surprisingly, limited attention has been paid to investigating how brain states affect sensory processing. While it was long assumed that the brain was mostly disconnected from external stimuli during sleep, an increasing number of studies indicates that sensory stimuli continue to be processed across all brain states-albeit differently. In this review article, we first discuss what constitutes a brain state. We argue that-next to global, behavioral states such as wakefulness and sleep-there is a concomitant need to distinguish bouts of oscillatory dynamics with specific global/local activity patterns and lasting for a few hundreds of milliseconds, as these can lead to the same sensory stimulus being either perceived or not. We define these short-lasting bouts as micro-states. We proceed to characterize how sensory-evoked neural responses vary between conscious and nonconscious states. We focus on two complementary aspects: neuronal ensembles and inter-areal communication. First, we review which features of ensemble activity are conducive to perception, and how these features vary across brain states. Properties such as heterogeneity, sparsity and synchronicity in neuronal ensembles will especially be considered as essential correlates of conscious processing. Second, we discuss how inter-areal communication varies across brain states and how this may affect brain operations and sensory processing. Finally, we discuss predictive coding (PC) and the concept of multi-level representations as a key framework for understanding conscious sensory processing. In this framework the brain implements conscious representations as inferences about world states across multiple representational levels. In this representational hierarchy, low-level inference may be carried out nonconsciously, whereas high levels integrate across different sensory modalities and larger spatial scales, correlating with conscious processing. This inferential framework is used to interpret several cellular and population-level findings in the context of brain states, and we briefly compare its implications to two other theories of consciousness. In conclusion, this review article, provides foundations to guide future studies aiming to uncover the mechanisms of sensory processing and perception across brain states.
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Affiliation(s)
- Umberto Olcese
- Cognitive and Systems Neuroscience Group, Swammerdam Institute for Life Sciences, Faculty of Science, University of Amsterdam, Amsterdam, Netherlands
- Research Priority Area Brain and Cognition, University of Amsterdam, Amsterdam, Netherlands
| | - Matthijs N. Oude Lohuis
- Cognitive and Systems Neuroscience Group, Swammerdam Institute for Life Sciences, Faculty of Science, University of Amsterdam, Amsterdam, Netherlands
- Research Priority Area Brain and Cognition, University of Amsterdam, Amsterdam, Netherlands
| | - Cyriel M. A. Pennartz
- Cognitive and Systems Neuroscience Group, Swammerdam Institute for Life Sciences, Faculty of Science, University of Amsterdam, Amsterdam, Netherlands
- Research Priority Area Brain and Cognition, University of Amsterdam, Amsterdam, Netherlands
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15
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Chaplin TA, Allitt BJ, Hagan MA, Rosa MGP, Rajan R, Lui LL. Auditory motion does not modulate spiking activity in the middle temporal and medial superior temporal visual areas. Eur J Neurosci 2018; 48:2013-2029. [PMID: 30019438 DOI: 10.1111/ejn.14071] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2018] [Revised: 06/27/2018] [Accepted: 07/07/2018] [Indexed: 12/29/2022]
Abstract
The integration of multiple sensory modalities is a key aspect of brain function, allowing animals to take advantage of concurrent sources of information to make more accurate perceptual judgments. For many years, multisensory integration in the cerebral cortex was deemed to occur only in high-level "polysensory" association areas. However, more recent studies have suggested that cross-modal stimulation can also influence neural activity in areas traditionally considered to be unimodal. In particular, several human neuroimaging studies have reported that extrastriate areas involved in visual motion perception are also activated by auditory motion, and may integrate audiovisual motion cues. However, the exact nature and extent of the effects of auditory motion on the visual cortex have not been studied at the single neuron level. We recorded the spiking activity of neurons in the middle temporal (MT) and medial superior temporal (MST) areas of anesthetized marmoset monkeys upon presentation of unimodal stimuli (moving auditory or visual patterns), as well as bimodal stimuli (concurrent audiovisual motion). Despite robust, direction selective responses to visual motion, none of the sampled neurons responded to auditory motion stimuli. Moreover, concurrent moving auditory stimuli had no significant effect on the ability of single MT and MST neurons, or populations of simultaneously recorded neurons, to discriminate the direction of motion of visual stimuli (moving random dot patterns with varying levels of motion noise). Our findings do not support the hypothesis that direct interactions between MT, MST and areas low in the hierarchy of auditory areas underlie audiovisual motion integration.
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Affiliation(s)
- Tristan A Chaplin
- Neuroscience Program, Biomedicine Discovery Institute and Department of Physiology, Monash University, Clayton, Victoria, Australia.,ARC Centre of Excellence for Integrative Brain Function, Monash University Node, Clayton, Victoria, Australia
| | - Benjamin J Allitt
- Neuroscience Program, Biomedicine Discovery Institute and Department of Physiology, Monash University, Clayton, Victoria, Australia
| | - Maureen A Hagan
- Neuroscience Program, Biomedicine Discovery Institute and Department of Physiology, Monash University, Clayton, Victoria, Australia.,ARC Centre of Excellence for Integrative Brain Function, Monash University Node, Clayton, Victoria, Australia
| | - Marcello G P Rosa
- Neuroscience Program, Biomedicine Discovery Institute and Department of Physiology, Monash University, Clayton, Victoria, Australia.,ARC Centre of Excellence for Integrative Brain Function, Monash University Node, Clayton, Victoria, Australia
| | - Ramesh Rajan
- Neuroscience Program, Biomedicine Discovery Institute and Department of Physiology, Monash University, Clayton, Victoria, Australia.,ARC Centre of Excellence for Integrative Brain Function, Monash University Node, Clayton, Victoria, Australia
| | - Leo L Lui
- Neuroscience Program, Biomedicine Discovery Institute and Department of Physiology, Monash University, Clayton, Victoria, Australia.,ARC Centre of Excellence for Integrative Brain Function, Monash University Node, Clayton, Victoria, Australia
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16
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Meredith MA, Wallace MT, Clemo HR. Do the Different Sensory Areas Within the Cat Anterior Ectosylvian Sulcal Cortex Collectively Represent a Network Multisensory Hub? Multisens Res 2018; 31:793-823. [PMID: 31157160 PMCID: PMC6542292 DOI: 10.1163/22134808-20181316] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Current theory supports that the numerous functional areas of the cerebral cortex are organized and function as a network. Using connectional databases and computational approaches, the cerebral network has been demonstrated to exhibit a hierarchical structure composed of areas, clusters and, ultimately, hubs. Hubs are highly connected, higher-order regions that also facilitate communication between different sensory modalities. One region computationally identified network hub is the visual area of the Anterior Ectosylvian Sulcal cortex (AESc) of the cat. The Anterior Ectosylvian Visual area (AEV) is but one component of the AESc that also includes the auditory (Field of the Anterior Ectosylvian Sulcus - FAES) and somatosensory (Fourth somatosensory representation - SIV). To better understand the nature of cortical network hubs, the present report reviews the biological features of the AESc. Within the AESc, each area has extensive external cortical connections as well as among one another. Each of these core representations is separated by a transition zone characterized by bimodal neurons that share sensory properties of both adjoining core areas. Finally, core and transition zones are underlain by a continuous sheet of layer 5 neurons that project to common output structures. Altogether, these shared properties suggest that the collective AESc region represents a multiple sensory/multisensory cortical network hub. Ultimately, such an interconnected, composite structure adds complexity and biological detail to the understanding of cortical network hubs and their function in cortical processing.
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Affiliation(s)
- M. Alex Meredith
- Department of Anatomy and Neurobiology, Virginia
Commonwealth University School of Medicine, Richmond, VA 23298 USA
| | - Mark T. Wallace
- Vanderbilt Brain Institute, Vanderbilt University,
Nashville, TN 37240 USA
| | - H. Ruth Clemo
- Department of Anatomy and Neurobiology, Virginia
Commonwealth University School of Medicine, Richmond, VA 23298 USA
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17
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González-Tapia D, González-Ramírez MM, Vázquez-Hernández N, González-Burgos I. Motor learning induces plastic changes in Purkinje cell dendritic spines in the rat cerebellum. Neurologia 2017; 35:451-457. [PMID: 29249302 DOI: 10.1016/j.nrl.2017.10.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2017] [Accepted: 10/10/2017] [Indexed: 10/18/2022] Open
Abstract
INTRODUCTION The paramedian lobule of the cerebellum is involved in learning to correctly perform motor skills through practice. Dendritic spines are dynamic structures that regulate excitatory synaptic stimulation. We studied plastic changes occurring in the dendritic spines of Purkinje cells from the paramedian lobule of rats during motor learning. METHODS Adult male rats were trained over a 6-day period using an acrobatic motor learning paradigm; the density and type of dendritic spines were determined every day during the study period using a modified version of the Golgi method. RESULTS The learning curve reflected a considerable decrease in the number of errors made by rats as the training period progressed. We observed more dendritic spines on days 2 and 6, particularly more thin spines on days 1, 3, and 6, fewer mushroom spines on day 3, fewer stubby spines on day 1, and more thick spines on days 4 and 6. CONCLUSION The initial stage of motor learning may be associated with fast processing of the underlying synaptic information combined with an apparent "silencing" of memory consolidation processes, based on the regulation of the neuronal excitability.
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Affiliation(s)
- D González-Tapia
- División de Neurociencias, Centro de Investigación Biomédica de Occidente, IMSS, Guadalajara, Jalisco, México; Universidad Politécnica de la Zona Metropolitana de Guadalajara, Tlajomulco de Zúñiga, Jalisco, México; Instituto de Ciencias de la Rehabilitación Integral, Guadalajara, Jalisco, México
| | - M M González-Ramírez
- División de Neurociencias, Centro de Investigación Biomédica de Occidente, IMSS, Guadalajara, Jalisco, México
| | - N Vázquez-Hernández
- División de Neurociencias, Centro de Investigación Biomédica de Occidente, IMSS, Guadalajara, Jalisco, México
| | - I González-Burgos
- División de Neurociencias, Centro de Investigación Biomédica de Occidente, IMSS, Guadalajara, Jalisco, México.
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18
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Opris I, Chang S, Noga BR. What Is the Evidence for Inter-laminar Integration in a Prefrontal Cortical Minicolumn? Front Neuroanat 2017; 11:116. [PMID: 29311848 PMCID: PMC5735117 DOI: 10.3389/fnana.2017.00116] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2017] [Accepted: 11/27/2017] [Indexed: 12/25/2022] Open
Abstract
The objective of this perspective article is to examine columnar inter-laminar integration during the executive control of behavior. The integration hypothesis posits that perceptual and behavioral signals are integrated within the prefrontal cortical inter-laminar microcircuits. Inter-laminar minicolumnar activity previously recorded from the dorsolateral prefrontal cortex (dlPFC) of nonhuman primates, trained in a visual delay match-to-sample (DMS) task, was re-assessed from an integrative perspective. Biomorphic multielectrode arrays (MEAs) played a unique role in the in vivo recording of columnar cell firing in the dlPFC layers 2/3 and 5/6. Several integrative aspects stem from these experiments: 1. Functional integration of perceptual and behavioral signals across cortical layers during executive control. The integrative effect of dlPFC minicolumns was shown by: (i) increased correlated firing on correct vs. error trials; (ii) decreased correlated firing when the number of non-matching images increased; and (iii) similar spatial firing preference across cortical-striatal cells during spatial-trials, and less on object-trials. 2. Causal relations to integration of cognitive signals by the minicolumnar turbo-engines. The inter-laminar integration between the perceptual and executive circuits was facilitated by stimulating the infra-granular layers with firing patterns obtained from supra-granular layers that enhanced spatial preference of percent correct performance on spatial trials. 3. Integration across hierarchical levels of the brain. The integration of intention signals (visual spatial, direction) with movement preparation (timing, velocity) in striatum and with the motor command and posture in midbrain is also discussed. These findings provide evidence for inter-laminar integration of executive control signals within brain's prefrontal cortical microcircuits.
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Affiliation(s)
- Ioan Opris
- The Miami Project to Cure Paralysis, Department of Neurological Surgery, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Stephano Chang
- The Miami Project to Cure Paralysis, Department of Neurological Surgery, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Brian R. Noga
- The Miami Project to Cure Paralysis, Department of Neurological Surgery, University of Miami Miller School of Medicine, Miami, FL, United States
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19
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Sawada K, Aoki I. Biphasic aspect of sexually dimorphic ontogenetic trajectory of gyrification in the ferret cerebral cortex. Neuroscience 2017; 364:71-81. [PMID: 28935238 DOI: 10.1016/j.neuroscience.2017.09.015] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2017] [Revised: 09/06/2017] [Accepted: 09/10/2017] [Indexed: 02/03/2023]
Abstract
The present study characterized quantitatively sexual dimorphic development of gyrification by MRI-based morphometry. High spatial-resolution 3D MR images (using RARE sequence with short TR and minimum TE setting) were acquired from fixed brain of male and female ferrets at postnatal days (PDs) 4-90 using 7-tesla preclinical MRI system. The gyrification index was evaluated either throughout the cerebral cortex (global GI) or in representative primary sulci (sulcal GI). The global GI increased linearly from PD 4, and reached a peak at PD 42, marking 1.486±0.018 in males and 1.460±0.010 in females, respectively. Sexual difference was obtained by greater global GI in males than in females on PD 21 and thereafter. Rostrocaudal GI distribution revealed an overall male-over-female sulcal infolding throughout the cortex on PD 21. Then, an adult pattern of sexually dimorphic cortical convolution was achieved so that gyrification in the temporo-parieto-occipital region was more progressive in males than in females on PD 42, and slightly extended posteriorly in males until PD 90. In the sulcal GI, sulcus-specific male-over-female GI was revealed in the rhinal fissure, and presylvian sulcus on PD 42, and additionally in the coronal, splenial, lateral, and caudal suprasylvian sulci on PD 90. The current results suggest that age-related sexual dimorphism of the gyrification was biphasic in the ferret cortex. A male-over-female gyrification was allometric by PD 21, and was thereafter specific to primary sulci located on phylogenetically newer multimodal cortical regions.
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Affiliation(s)
- K Sawada
- Department of Nutrition, Faculty of Medical and Health Sciences, Tsukuba International University, Tsuchiura, Ibaraki 300-0051, Japan.
| | - I Aoki
- Department of Molecular Imaging and Theranostics, National Institute of Radiological Sciences, QST, Chiba 263-8555, Japan
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20
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Zhou ZC, Salzwedel AP, Radtke-Schuller S, Li Y, Sellers KK, Gilmore JH, Shih YYI, Fröhlich F, Gao W. Resting state network topology of the ferret brain. Neuroimage 2016; 143:70-81. [PMID: 27596024 DOI: 10.1016/j.neuroimage.2016.09.003] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2016] [Revised: 08/17/2016] [Accepted: 09/01/2016] [Indexed: 12/22/2022] Open
Abstract
Resting state functional magnetic resonance imaging (rsfMRI) has emerged as a versatile tool for non-invasive measurement of functional connectivity patterns in the brain. RsfMRI brain dynamics in rodents, non-human primates, and humans share similar properties; however, little is known about the resting state functional connectivity patterns in the ferret, an animal model with high potential for developmental and cognitive translational study. To address this knowledge-gap, we performed rsfMRI on anesthetized ferrets using a 9.4T MRI scanner, and subsequently performed group-level independent component analysis (gICA) to identify functionally connected brain networks. Group-level ICA analysis revealed distributed sensory, motor, and higher-order networks in the ferret brain. Subsequent connectivity analysis showed interconnected higher-order networks that constituted a putative default mode network (DMN), a network that exhibits altered connectivity in neuropsychiatric disorders. Finally, we assessed ferret brain topological efficiency using graph theory analysis and found that the ferret brain exhibits small-world properties. Overall, these results provide additional evidence for pan-species resting-state networks, further supporting ferret-based studies of sensory and cognitive function.
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Affiliation(s)
- Zhe Charles Zhou
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States; Neurobiology Curriculum, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States
| | - Andrew P Salzwedel
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, United States; Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA 90048, United States
| | - Susanne Radtke-Schuller
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States
| | - Yuhui Li
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States
| | - Kristin K Sellers
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States; Neurobiology Curriculum, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States
| | - John H Gilmore
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States
| | - Yen-Yu Ian Shih
- Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States; Department of Neurology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States; Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States; Small Animal Imaging Facility, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States; Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States; Neurobiology Curriculum, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States
| | - Flavio Fröhlich
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States; Department of Cell Biology and Physiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States; Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States; Department of Neurology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States; Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States; Neurobiology Curriculum, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States
| | - Wei Gao
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, United States; Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA 90048, United States.
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21
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Martin A. GRAPES-Grounding representations in action, perception, and emotion systems: How object properties and categories are represented in the human brain. Psychon Bull Rev 2016; 23:979-90. [PMID: 25968087 PMCID: PMC5111803 DOI: 10.3758/s13423-015-0842-3] [Citation(s) in RCA: 157] [Impact Index Per Article: 19.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
In this article, I discuss some of the latest functional neuroimaging findings on the organization of object concepts in the human brain. I argue that these data provide strong support for viewing concepts as the products of highly interactive neural circuits grounded in the action, perception, and emotion systems. The nodes of these circuits are defined by regions representing specific object properties (e.g., form, color, and motion) and thus are property-specific, rather than strictly modality-specific. How these circuits are modified by external and internal environmental demands, the distinction between representational content and format, and the grounding of abstract social concepts are also discussed.
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Affiliation(s)
- Alex Martin
- Laboratory of Brain and Cognition, National Institute of Mental Health, Building 10, Room 4C-104, 10 Center Drive MSC 1366, Bethesda, MD, 20892-1366, USA.
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22
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Horiuchi-Hirose M, Sawada K. Differential cortical laminar structure revealed by NeuN immunostaining and myeloarchitecture between sulcal and gyral regions independent of sexual dimorphisms in the ferret cerebrum. Anat Rec (Hoboken) 2016; 299:1003-11. [PMID: 27144367 DOI: 10.1002/ar.23369] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2015] [Revised: 03/30/2016] [Accepted: 04/05/2016] [Indexed: 11/10/2022]
Abstract
The purpose of this study was to quantitatively clarify differences in laminar structure and myeloarchitecture of sulcal and gyral regions of the cerebral cortex of ferrets. Histological sections of cerebrum from male and female ferrets at postnatal day 90 were made at the coronal plane, and were immunostained with anti-NeuN or anti-myelin basic protein (MBP). Thickness was estimated in the entire depth or three strata, that is, layer I, outer (layers II-III) and inner (layers IV-VI) strata of the neocortex in representative five sulcal and seven gyral regions. As with the entire cortical depth, outer and inner strata were significantly thinner in the sulcal bottoms than in the gyral crowns, whereas layer I had about twofold greater thickness in the sulcal bottoms. However, thicknesses of the entire cortical depth and each cortical stratum were not statistically different among five sulcal regions or seven gyral regions examined. By MBP immunostaining, myelin fibers ran tangentially through the superficial regions of layer I in gyral crowns. Those fibers were relatively denser in gyri of frontal and temporal regions, and relatively sparse in gyri of parietal and occipital regions, although their density in any gyri was not different between sexes. These results show a differential laminar structure and myeloarchitecture between the sulcal and gyral regions of the ferret cerebral cortex present in both sexes. Myelination of layer I tangential fibers varied among primary gyri and was weaker in phylogenetically higher-order cortical gyri. Anat Rec, 299:1003-1011, 2016. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Miwa Horiuchi-Hirose
- Department of Nursing, Ibaraki Christian University, Hitachi, Ibaraki, Japan.,Department of Nutrition, Faculty of Medical and Health Sciences, Tsukuba International University, Tsuchiura, Ibaraki, Japan
| | - Kazuhiko Sawada
- Department of Nutrition, Faculty of Medical and Health Sciences, Tsukuba International University, Tsuchiura, Ibaraki, Japan
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23
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Iaci JF, Parry TJ, Huang Z, Pavlopoulos E, Finklestein SP, Ren J, Caggiano A. An optimized dosing regimen of cimaglermin (neuregulin 1β3, glial growth factor 2) enhances molecular markers of neuroplasticity and functional recovery after permanent ischemic stroke in rats. J Neurosci Res 2015; 94:253-65. [PMID: 26660233 PMCID: PMC4737294 DOI: 10.1002/jnr.23699] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2015] [Revised: 10/16/2015] [Accepted: 11/09/2015] [Indexed: 12/14/2022]
Abstract
Cimaglermin (neuregulin 1β3, glial growth factor 2) is a neuregulin growth factor family member in clinical development for chronic heart failure. Previously, in a permanent middle cerebral artery occlusion (pMCAO) rat stroke model, systemic cimaglermin treatment initiated up to 7 days after ischemia onset promoted recovery without reduced lesion volume. Presented here to extend the evidence are two studies that use a rat stroke model to evaluate the effects of cimaglermin dose level and dose frequency initiated 24 hr after pMCAO. Forelimb‐ and hindlimb‐placing scores (proprioceptive behavioral tests), body‐swing symmetry, and infarct volume were compared between treatment groups (n = 12/group). Possible mechanisms underlying cimaglermin‐mediated neurologic recovery were examined through axonal growth and synapse formation histological markers. Cimaglermin was evaluated over a wider dose range (0.02, 0.1, or 1.0 mg/kg) than doses previously shown to be effective but used the same dosing regimen (2 weeks of daily intravenous administration, then 1 week without treatment). The dose‐frequency study used the dose‐ranging study's most effective dose (1.0 mg/kg) to compare daily, once per week, and twice per week dosing for 3 weeks (then 1 week without treatment). Dose‐ and frequency‐dependent functional improvements were observed with cimaglermin without reduced lesion volume. Cimaglermin treatment significantly increased growth‐associated protein 43 expression in both hemispheres (particularly somatosensory and motor cortices) and also increased synaptophysin expression. These data indicate that cimaglermin enhances recovery after stroke. Immunohistochemical changes were consistent with axonal sprouting and synapse formation but not acute neuroprotection. Cimaglermin represents a potential clinical development candidate for ischemic stroke treatment. © 2015 The Authors. Journal of Neuroscience Research Published by Wiley Periodicals, Inc.
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Affiliation(s)
| | - Tom J Parry
- Acorda Therapeutics, Inc., Ardsley, New York
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24
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Meredith MA, Allman BL. Single-unit analysis of somatosensory processing in the core auditory cortex of hearing ferrets. Eur J Neurosci 2015; 41:686-98. [PMID: 25728185 DOI: 10.1111/ejn.12828] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2014] [Revised: 11/07/2014] [Accepted: 12/10/2014] [Indexed: 11/29/2022]
Abstract
The recent findings in several species that the primary auditory cortex processes non-auditory information have largely overlooked the possibility of somatosensory effects. Therefore, the present investigation examined the core auditory cortices (anterior auditory field and primary auditory cortex) for tactile responsivity. Multiple single-unit recordings from anesthetised ferret cortex yielded histologically verified neurons (n = 311) tested with electronically controlled auditory, visual and tactile stimuli, and their combinations. Of the auditory neurons tested, a small proportion (17%) was influenced by visual cues, but a somewhat larger number (23%) was affected by tactile stimulation. Tactile effects rarely occurred alone and spiking responses were observed in bimodal auditory-tactile neurons. However, the broadest tactile effect that was observed, which occurred in all neuron types, was that of suppression of the response to a concurrent auditory cue. The presence of tactile effects in the core auditory cortices was supported by a substantial anatomical projection from the rostral suprasylvian sulcal somatosensory area. Collectively, these results demonstrate that crossmodal effects in the auditory cortex are not exclusively visual and that somatosensation plays a significant role in modulation of acoustic processing, and indicate that crossmodal plasticity following deafness may unmask these existing non-auditory functions.
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Affiliation(s)
- M Alex Meredith
- Department of Anatomy and Neurobiology, Virginia Commonwealth University School of Medicine, 1101 E. Marshall Street, Sanger Hall Rm-12-067, Richmond, VA, 23298-0709, USA
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25
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Özkucur N, Quinn KP, Pang JC, Du C, Georgakoudi I, Miller E, Levin M, Kaplan DL. Membrane potential depolarization causes alterations in neuron arrangement and connectivity in cocultures. Brain Behav 2015; 5:24-38. [PMID: 25722947 PMCID: PMC4321392 DOI: 10.1002/brb3.295] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2014] [Revised: 09/23/2014] [Accepted: 09/29/2014] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND The disruption of neuron arrangement is associated with several pathologies. In contrast to action potentials, the role of resting potential (Vmem) in regulating connectivity remains unknown. METHODS Neuron assemblies were quantified when their Vmem was depolarized using ivermectin (Ivm), a drug that opens chloride channels, for 24 h in cocultures with astrocytes. Cell aggregation was analyzed using automated cluster analysis methods. Neural connectivity was quantified based on the identification of isolated somas in phase-contrast images using image processing. Vmem was measured using voltage-sensitive dyes and whole-cell patch clamping. Immunocytochemistry and Western blotting were used to detect changes in the distribution and production of the proteins. RESULTS Data show that Vmem regulates cortical tissue shape and connectivity. Automated cluster analysis methods revealed that the degree of neural aggregation was significantly increased (0.26 clustering factor vs. 0.21 in controls, P ≤ 0.01). The number of beta-tubulin III positive neural projections was also significantly increased in the neural aggregates in cocultures with Ivm. Hyperpolarized neuron cells formed fewer connections (33% at 24 h, P ≤ 0.05) compared to control cells in 1-day cultures. Glia cell densities increased (33.3%, P ≤ 0.05) under depolarizing conditions. CONCLUSION Vmem can be a useful tool to probe neuronal cells, disease tissues models, and cortical tissue arrangements.
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Affiliation(s)
- Nurdan Özkucur
- Department of Biomedical Engineering, Tufts University 4 Colby St., Medford, Massachusetts, 02155 ; Biology Department, Tufts University 200 Boston Avenue, Suite 4600, Medford, Massachusetts, 02155
| | - Kyle P Quinn
- Department of Biomedical Engineering, Tufts University 4 Colby St., Medford, Massachusetts, 02155
| | - Jin C Pang
- Department of Electrical and Computer Engineering, Tufts University 161 College Avenue, Medford, Massachusetts, 02155
| | - Chuang Du
- Department of Biomedical Engineering, Tufts University 4 Colby St., Medford, Massachusetts, 02155 ; Department of Neuroscience, Tufts University 136 Harrison Ave, Boston, Massachusetts
| | - Irene Georgakoudi
- Department of Biomedical Engineering, Tufts University 4 Colby St., Medford, Massachusetts, 02155
| | - Eric Miller
- Department of Electrical and Computer Engineering, Tufts University 161 College Avenue, Medford, Massachusetts, 02155
| | - Michael Levin
- Biology Department, Tufts University 200 Boston Avenue, Suite 4600, Medford, Massachusetts, 02155
| | - David L Kaplan
- Department of Biomedical Engineering, Tufts University 4 Colby St., Medford, Massachusetts, 02155
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Clemo HR, Lomber SG, Meredith MA. Synaptic Basis for Cross-modal Plasticity: Enhanced Supragranular Dendritic Spine Density in Anterior Ectosylvian Auditory Cortex of the Early Deaf Cat. Cereb Cortex 2014; 26:1365-76. [PMID: 25274986 DOI: 10.1093/cercor/bhu225] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
In the cat, the auditory field of the anterior ectosylvian sulcus (FAES) is sensitive to auditory cues and its deactivation leads to orienting deficits toward acoustic, but not visual, stimuli. However, in early deaf cats, FAES activity shifts to the visual modality and its deactivation blocks orienting toward visual stimuli. Thus, as in other auditory cortices, hearing loss leads to cross-modal plasticity in the FAES. However, the synaptic basis for cross-modal plasticity is unknown. Therefore, the present study examined the effect of early deafness on the density, distribution, and size of dendritic spines in the FAES. Young cats were ototoxically deafened and raised until adulthood when they (and hearing controls) were euthanized, the cortex stained using Golgi-Cox, and FAES neurons examined using light microscopy. FAES dendritic spine density averaged 0.85 spines/μm in hearing animals, but was significantly higher (0.95 spines/μm) in the early deaf. Size distributions and increased spine density were evident specifically on apical dendrites of supragranular neurons. In separate tracer experiments, cross-modal cortical projections were shown to terminate predominantly within the supragranular layers of the FAES. This distributional correspondence between projection terminals and dendritic spine changes indicates that cross-modal plasticity is synaptically based within the supragranular layers of the early deaf FAES.
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Affiliation(s)
- H Ruth Clemo
- Department of Anatomy and Neurobiology, Virginia Commonwealth University School of Medicine, Richmond, VA 23298-0709, USA
| | - Stephen G Lomber
- Brain and Mind Institute, National Centre for Audiology, University of Western Ontario, London, ON, Canada
| | - M Alex Meredith
- Department of Anatomy and Neurobiology, Virginia Commonwealth University School of Medicine, Richmond, VA 23298-0709, USA
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27
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Olcese U, Iurilli G, Medini P. Cellular and synaptic architecture of multisensory integration in the mouse neocortex. Neuron 2013; 79:579-93. [PMID: 23850594 DOI: 10.1016/j.neuron.2013.06.010] [Citation(s) in RCA: 121] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/28/2013] [Indexed: 10/26/2022]
Abstract
Multisensory integration (MI) is crucial for sensory processing, but it is unclear how MI is organized in cortical microcircuits. Whole-cell recordings in a mouse visuotactile area located between primary visual and somatosensory cortices revealed that spike responses were less bimodal than synaptic responses but displayed larger multisensory enhancement. MI was layer and cell type specific, with multisensory enhancement being rare in the major class of inhibitory interneurons and in the output infragranular layers. Optogenetic manipulation of parvalbumin-positive interneuron activity revealed that the scarce MI of interneurons enables MI in neighboring pyramids. Finally, single-cell resolution calcium imaging revealed a gradual merging of modalities: unisensory neurons had higher densities toward the borders of the primary cortices, but were located in unimodal clusters in the middle of the cortical area. These findings reveal the role of different neuronal subcircuits in the synaptic process of MI in the rodent parietal cortex.
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Affiliation(s)
- Umberto Olcese
- Department of Neuroscience and Brain Technologies, Istituto Italiano di Tecnologia, Via Morego, 30, 16163 Genova, Italy
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28
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Lippert MT, Takagaki K, Kayser C, Ohl FW. Asymmetric multisensory interactions of visual and somatosensory responses in a region of the rat parietal cortex. PLoS One 2013; 8:e63631. [PMID: 23667650 PMCID: PMC3646793 DOI: 10.1371/journal.pone.0063631] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2012] [Accepted: 04/09/2013] [Indexed: 11/18/2022] Open
Abstract
Perception greatly benefits from integrating multiple sensory cues into a unified percept. To study the neural mechanisms of sensory integration, model systems are required that allow the simultaneous assessment of activity and the use of techniques to affect individual neural processes in behaving animals. While rodents qualify for these requirements, little is known about multisensory integration and areas involved for this purpose in the rodent. Using optical imaging combined with laminar electrophysiological recordings, the rat parietal cortex was identified as an area where visual and somatosensory inputs converge and interact. Our results reveal similar response patterns to visual and somatosensory stimuli at the level of current source density (CSD) responses and multi-unit responses within a strip in parietal cortex. Surprisingly, a selective asymmetry was observed in multisensory interactions: when the somatosensory response preceded the visual response, supra-linear summation of CSD was observed, but the reverse stimulus order resulted in sub-linear effects in the CSD. This asymmetry was not present in multi-unit activity however, which showed consistently sub-linear interactions. These interactions were restricted to a specific temporal window, and pharmacological tests revealed significant local intra-cortical contributions to this phenomenon. Our results highlight the rodent parietal cortex as a system to model the neural underpinnings of multisensory processing in behaving animals and at the cellular level.
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Affiliation(s)
- Michael T Lippert
- Department Systems Physiology of Learning, Leibniz Institute for Neurobiology, Magdeburg, Germany.
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29
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Foxworthy WA, Allman BL, Keniston LP, Meredith MA. Multisensory and unisensory neurons in ferret parietal cortex exhibit distinct functional properties. Eur J Neurosci 2012; 37:910-23. [PMID: 23279600 DOI: 10.1111/ejn.12085] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2012] [Revised: 10/18/2012] [Accepted: 11/12/2012] [Indexed: 11/26/2022]
Abstract
Despite the fact that unisensory and multisensory neurons are comingled in every neural structure in which they have been identified, no systematic comparison of their response features has been conducted. Towards that goal, the present study was designed to examine and compare measures of response magnitude, latency, duration and spontaneous activity in unisensory and bimodal neurons from the ferret parietal cortex. Using multichannel single-unit recording, bimodal neurons were observed to demonstrate significantly higher response levels and spontaneous discharge rates than did their unisensory counterparts. These results suggest that, rather than merely reflect different connectional arrangements, unisensory and multisensory neurons are likely to differ at the cellular level. Thus, it can no longer be assumed that the different populations of bimodal and unisensory neurons within a neural region respond similarly to a given external stimulus.
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Affiliation(s)
- W Alex Foxworthy
- Department of Anatomy and Neurobiology, Virginia Commonwealth University School of Medicine, Richmond, VA 23298, USA
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