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Wetekam J, Hechavarría J, López-Jury L, González-Palomares E, Kössl M. Deviance Detection to Natural Stimuli in Population Responses of the Brainstem of Bats. J Neurosci 2024; 44:e1588232023. [PMID: 38262723 PMCID: PMC10904087 DOI: 10.1523/jneurosci.1588-23.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 11/09/2023] [Accepted: 11/29/2023] [Indexed: 01/25/2024] Open
Abstract
Deviance detection describes an increase of neural response strength caused by a stimulus with a low probability of occurrence. This ubiquitous phenomenon has been reported for humans and multiple other species, from subthalamic areas to the auditory cortex. Cortical deviance detection has been well characterized by a range of studies using a variety of different stimuli, from artificial to natural, with and without a behavioral relevance. This allowed the identification of a broad variety of regularity deviations that are detected by the cortex. Moreover, subcortical deviance detection has been studied with simple stimuli that are not meaningful to the subject. Here, we aim to bridge this gap by using noninvasively recorded auditory brainstem responses (ABRs) to investigate deviance detection at population level in the lower stations of the auditory system of a highly vocal species: the bat Carollia perspicillata (of either sex). Our present approach uses behaviorally relevant vocalization stimuli that are similar to the animals' natural soundscape. We show that deviance detection in ABRs is significantly stronger for echolocation pulses than for social communication calls or artificial sounds, indicating that subthalamic deviance detection depends on the behavioral meaning of a stimulus. Additionally, complex physical sound features like frequency- and amplitude modulation affected the strength of deviance detection in the ABR. In summary, our results suggest that the brain can detect different types of deviants already in the brainstem, showing that subthalamic brain structures exhibit more advanced forms of deviance detection than previously known.
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Affiliation(s)
- Johannes Wetekam
- Department of Neurobiology and Biological Sensors, Institute of Cell Biology and Neuroscience, Goethe University, 60439 Frankfurt am Main, Germany
| | - Julio Hechavarría
- Department of Neurobiology and Biological Sensors, Institute of Cell Biology and Neuroscience, Goethe University, 60439 Frankfurt am Main, Germany
| | - Luciana López-Jury
- Department of Neurobiology and Biological Sensors, Institute of Cell Biology and Neuroscience, Goethe University, 60439 Frankfurt am Main, Germany
| | - Eugenia González-Palomares
- Department of Neurobiology and Biological Sensors, Institute of Cell Biology and Neuroscience, Goethe University, 60439 Frankfurt am Main, Germany
| | - Manfred Kössl
- Department of Neurobiology and Biological Sensors, Institute of Cell Biology and Neuroscience, Goethe University, 60439 Frankfurt am Main, Germany
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2
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Wang Z, Lou S, Ma X, Guo H, Liu Y, Chen W, Lin D, Yang Y. Neural ensembles in the murine medial prefrontal cortex process distinct information during visual perceptual learning. BMC Biol 2023; 21:44. [PMID: 36829186 PMCID: PMC9960446 DOI: 10.1186/s12915-023-01529-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2022] [Accepted: 01/27/2023] [Indexed: 02/26/2023] Open
Abstract
BACKGROUND Perceptual learning refers to an augmentation of an organism's ability to respond to external stimuli, which has been described in most sensory modalities. Visual perceptual learning (VPL) is a manifestation of plasticity in visual information processing that occurs in the adult brain, and can be used to ameliorate the ability of patients with visual defects mainly based on an improvement of detection or discrimination of features in visual tasks. While some brain regions such as the primary visual cortex have been described to participate in VPL, the way more general high-level cognitive brain areas are involved in this process remains unclear. Here, we showed that the medial prefrontal cortex (mPFC) was essential for both the training and maintenance processes of VPL in mouse models. RESULTS We built a new VPL model in a custom-designed training chamber to enable the utilization of miniScopes when mice freely executed the VPL task. We found that pyramidal neurons in the mPFC participate in both the training process and maintenance of VPL. By recording the calcium activity of mPFC pyramidal neurons while mice freely executed the task, distinct ON and OFF neural ensembles tuned to different behaviors were identified, which might encode different cognitive information. Decoding analysis showed that mouse behaviors could be well predicted using the activity of each ON ensemble. Furthermore, VPL recruited more reward-related components in the mPFC. CONCLUSION We revealed the neural mechanism underlying vision improvement following VPL and identify distinct ON and OFF neural ensembles in the mPFC that tuned to different information during visual perceptual training. These results uncover an important role of the mPFC in VPL, with more reward-related components being also involved, and pave the way for future clarification of the reward signal coding rules in VPL.
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Affiliation(s)
- Zhenni Wang
- grid.59053.3a0000000121679639Division of Life Sciences and Medicine, Hefei National Research Center for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, 230026 China
| | - Shihao Lou
- grid.59053.3a0000000121679639Division of Life Sciences and Medicine, Hefei National Research Center for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, 230026 China
| | - Xiao Ma
- grid.59053.3a0000000121679639Division of Life Sciences and Medicine, Hefei National Research Center for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, 230026 China
| | - Hui Guo
- grid.59053.3a0000000121679639Division of Life Sciences and Medicine, Hefei National Research Center for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, 230026 China
| | - Yan Liu
- grid.59053.3a0000000121679639Division of Life Sciences and Medicine, Hefei National Research Center for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, 230026 China
| | - Wenjing Chen
- grid.59053.3a0000000121679639Division of Life Sciences and Medicine, Hefei National Research Center for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, 230026 China
| | - Dating Lin
- grid.420090.f0000 0004 0533 7147Intramural Research Program, National Institute On Drug Abuse, National Institutes of Health, Baltimore, MD 21224 USA
| | - Yupeng Yang
- Division of Life Sciences and Medicine, Hefei National Research Center for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, 230026, China.
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3
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Bernard JA. Don't forget the little brain: A framework for incorporating the cerebellum into the understanding of cognitive aging. Neurosci Biobehav Rev 2022; 137:104639. [PMID: 35346747 PMCID: PMC9119942 DOI: 10.1016/j.neubiorev.2022.104639] [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: 11/18/2021] [Revised: 02/28/2022] [Accepted: 03/23/2022] [Indexed: 12/22/2022]
Abstract
With the rapidly growing population of older adults, an improved understanding of brain and cognitive aging is critical, given the impacts on health, independence, and quality of life. To this point, we have a well-developed literature on the cortical contributions to cognition in advanced age. However, while this work has been foundational for our understanding of brain and behavior in older adults, subcortical contributions, particularly those from the cerebellum, have not been integrated into these models and frameworks. Incorporating the cerebellum into models of cognitive aging is an important step for moving the field forward. There has also been recent interest in this structure in Alzheimer's dementia, indicating that such work may be beneficial to our understanding of neurodegenerative disease. Here, I provide an updated overview of the cerebellum in advanced age and propose that it serves as a critical source of scaffolding or reserve for cortical function. Age-related impacts on cerebellar function further impact cortical processing, perhaps resulting in many of the activation patterns commonly seen in aging.
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Affiliation(s)
- Jessica A Bernard
- Department of Psychological and Brain Sciences, USA; Texas A&M Institute for Neuroscience, Texas A&M University, USA.
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Watts AG, Kanoski SE, Sanchez-Watts G, Langhans W. The physiological control of eating: signals, neurons, and networks. Physiol Rev 2022; 102:689-813. [PMID: 34486393 PMCID: PMC8759974 DOI: 10.1152/physrev.00028.2020] [Citation(s) in RCA: 47] [Impact Index Per Article: 23.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Accepted: 08/30/2021] [Indexed: 02/07/2023] Open
Abstract
During the past 30 yr, investigating the physiology of eating behaviors has generated a truly vast literature. This is fueled in part by a dramatic increase in obesity and its comorbidities that has coincided with an ever increasing sophistication of genetically based manipulations. These techniques have produced results with a remarkable degree of cell specificity, particularly at the cell signaling level, and have played a lead role in advancing the field. However, putting these findings into a brain-wide context that connects physiological signals and neurons to behavior and somatic physiology requires a thorough consideration of neuronal connections: a field that has also seen an extraordinary technological revolution. Our goal is to present a comprehensive and balanced assessment of how physiological signals associated with energy homeostasis interact at many brain levels to control eating behaviors. A major theme is that these signals engage sets of interacting neural networks throughout the brain that are defined by specific neural connections. We begin by discussing some fundamental concepts, including ones that still engender vigorous debate, that provide the necessary frameworks for understanding how the brain controls meal initiation and termination. These include key word definitions, ATP availability as the pivotal regulated variable in energy homeostasis, neuropeptide signaling, homeostatic and hedonic eating, and meal structure. Within this context, we discuss network models of how key regions in the endbrain (or telencephalon), hypothalamus, hindbrain, medulla, vagus nerve, and spinal cord work together with the gastrointestinal tract to enable the complex motor events that permit animals to eat in diverse situations.
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Affiliation(s)
- Alan G Watts
- The Department of Biological Sciences, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, California
| | - Scott E Kanoski
- The Department of Biological Sciences, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, California
| | - Graciela Sanchez-Watts
- The Department of Biological Sciences, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, California
| | - Wolfgang Langhans
- Physiology and Behavior Laboratory, Eidgenössische Technische Hochschule-Zürich, Schwerzenbach, Switzerland
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5
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Skirzewski M, Molotchnikoff S, Hernandez LF, Maya-Vetencourt JF. Multisensory Integration: Is Medial Prefrontal Cortex Signaling Relevant for the Treatment of Higher-Order Visual Dysfunctions? Front Mol Neurosci 2022; 14:806376. [PMID: 35110996 PMCID: PMC8801884 DOI: 10.3389/fnmol.2021.806376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 12/17/2021] [Indexed: 11/29/2022] Open
Abstract
In the mammalian brain, information processing in sensory modalities and global mechanisms of multisensory integration facilitate perception. Emerging experimental evidence suggests that the contribution of multisensory integration to sensory perception is far more complex than previously expected. Here we revise how associative areas such as the prefrontal cortex, which receive and integrate inputs from diverse sensory modalities, can affect information processing in unisensory systems via processes of down-stream signaling. We focus our attention on the influence of the medial prefrontal cortex on the processing of information in the visual system and whether this phenomenon can be clinically used to treat higher-order visual dysfunctions. We propose that non-invasive and multisensory stimulation strategies such as environmental enrichment and/or attention-related tasks could be of clinical relevance to fight cerebral visual impairment.
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Affiliation(s)
- Miguel Skirzewski
- Rodent Cognition Research and Innovation Core, University of Western Ontario, London, ON, Canada
| | - Stéphane Molotchnikoff
- Département de Sciences Biologiques, Université de Montréal, Montreal, QC, Canada
- Département de Génie Electrique et Génie Informatique, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Luis F. Hernandez
- Knoebel Institute for Healthy Aging, University of Denver, Denver, CO, United States
| | - José Fernando Maya-Vetencourt
- Department of Biology, University of Pisa, Pisa, Italy
- Centre for Synaptic Neuroscience, Istituto Italiano di Tecnologia (IIT), Genova, Italy
- *Correspondence: José Fernando Maya-Vetencourt
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6
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Peeters LM, van den Berg M, Hinz R, Majumdar G, Pintelon I, Keliris GA. Cholinergic Modulation of the Default Mode Like Network in Rats. iScience 2020; 23:101455. [PMID: 32846343 PMCID: PMC7452182 DOI: 10.1016/j.isci.2020.101455] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Revised: 07/14/2020] [Accepted: 08/10/2020] [Indexed: 12/21/2022] Open
Abstract
The discovery of the default mode network (DMN), a large-scale brain network that is suppressed during attention-demanding tasks, had major impact in neuroscience. This network exhibits an antagonistic relationship with attention-related networks. A better understanding of the processes underlying modulation of DMN is imperative, as this network is compromised in several neurological diseases. Cholinergic neuromodulation is one of the major regulatory networks for attention, and studies suggest a role in regulation of the DMN. In this study, we unilaterally activated the right basal forebrain cholinergic neurons and observed decreased right intra-hemispheric and interhemispheric FC in the default mode like network (DMLN). Our findings provide critical insights into the interplay between cholinergic neuromodulation and DMLN, demonstrate that differential effects can be exerted between the two hemispheres by unilateral stimulation, and open windows for further studies involving directed modulations of DMN in treatments for diseases demonstrating compromised DMN activity.
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Affiliation(s)
- Lore M. Peeters
- Bio-Imaging Lab, University of Antwerp, Campus Drie Eiken – Universiteitsplein 1, 2610 Wilrijk, Belgium
| | - Monica van den Berg
- Bio-Imaging Lab, University of Antwerp, Campus Drie Eiken – Universiteitsplein 1, 2610 Wilrijk, Belgium
| | - Rukun Hinz
- Bio-Imaging Lab, University of Antwerp, Campus Drie Eiken – Universiteitsplein 1, 2610 Wilrijk, Belgium
| | - Gaurav Majumdar
- Bio-Imaging Lab, University of Antwerp, Campus Drie Eiken – Universiteitsplein 1, 2610 Wilrijk, Belgium
| | - Isabel Pintelon
- Laboratory of Cell Biology and Histology, University of Antwerp, Universiteitsplein 1, 2610 Wilrijk, Belgium
| | - Georgios A. Keliris
- Bio-Imaging Lab, University of Antwerp, Campus Drie Eiken – Universiteitsplein 1, 2610 Wilrijk, Belgium
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Crabtree JW. Functional Diversity of Thalamic Reticular Subnetworks. Front Syst Neurosci 2018; 12:41. [PMID: 30405364 PMCID: PMC6200870 DOI: 10.3389/fnsys.2018.00041] [Citation(s) in RCA: 66] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2018] [Accepted: 08/23/2018] [Indexed: 11/13/2022] Open
Abstract
The activity of the GABAergic neurons of the thalamic reticular nucleus (TRN) has long been known to play important roles in modulating the flow of information through the thalamus and in generating changes in thalamic activity during transitions from wakefulness to sleep. Recently, technological advances have considerably expanded our understanding of the functional organization of TRN. These have identified an impressive array of functionally distinct subnetworks in TRN that participate in sensory, motor, and/or cognitive processes through their different functional connections with thalamic projection neurons. Accordingly, "first order" projection neurons receive "driver" inputs from subcortical sources and are usually connected to a densely distributed TRN subnetwork composed of multiple elongated neural clusters that are topographically organized and incorporate spatially corresponding electrically connected neurons-first order projection neurons are also connected to TRN subnetworks exhibiting different state-dependent activity profiles. "Higher order" projection neurons receive driver inputs from cortical layer 5 and are mainly connected to a densely distributed TRN subnetwork composed of multiple broad neural clusters that are non-topographically organized and incorporate spatially corresponding electrically connected neurons. And projection neurons receiving "driver-like" inputs from the superior colliculus or basal ganglia are connected to TRN subnetworks composed of either elongated or broad neural clusters. Furthermore, TRN subnetworks that mediate interactions among neurons within groups of thalamic nuclei are connected to all three types of thalamic projection neurons. In addition, several TRN subnetworks mediate various bottom-up, top-down, and internuclear attentional processes: some bottom-up and top-down attentional mechanisms are specifically related to first order projection neurons whereas internuclear attentional mechanisms engage all three types of projection neurons. The TRN subnetworks formed by elongated and broad neural clusters may act as templates to guide the operations of the TRN subnetworks related to attentional processes. In this review article, the evidence revealing the functional TRN subnetworks will be evaluated and will be discussed in relation to the functions of the various sensory and motor thalamic nuclei with which these subnetworks are connected.
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Affiliation(s)
- John W Crabtree
- School of Physiology, Pharmacology, and Neuroscience, Medical Sciences Building, University of Bristol, Bristol, United Kingdom
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8
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Tapia León I, Kruse O, Stalder T, Stark R, Klucken T. Neural correlates of subjective CS/UCS association in appetitive conditioning. Hum Brain Mapp 2018; 39:1637-1646. [PMID: 29297960 DOI: 10.1002/hbm.23940] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2017] [Revised: 12/14/2017] [Accepted: 12/18/2017] [Indexed: 01/04/2023] Open
Abstract
Explicit knowledge of conditioned stimulus (CS)/unconditioned stimulus (UCS) associations is proposed as important factor in classical conditioning. However, while previous studies have focused on its roles in fear conditioning, it has been neglected in the context of appetitive conditioning. The present functional magnetic resonance study aimed to investigate neural activation and functional connectivity linked to subjective CS/UCS association in appetitive conditioning. In total, 85 subjects participated in an appetitive acquisition procedure in which a neutral stimulus (CS+) was paired with a monetary reward, while another neutral stimulus (CS-) was never paired with the reward. Directly afterwards, subjective CS/UCS association was assessed by measuring the extent to which the CS+ was thought to be associated with the UCS compared to the CS-. Close relationships were established between subjective CS/UCS association and activations in the primary visual cortex (V1) during the early phase of conditioning and in the striatum during the late conditioning phase. In addition, we observed inverse relationships between subjective CS/UCS association and both V1/ventromedial prefrontal cortex (vmPFC) and striatal/vmPFC connectivity. The results suggest the involvement of decoupling vmPFC connectivity in reward learning in general and the roles of attentional processes in the formation of the subjective CS/UCS association during the early phase and reward prediction during the late phase of appetitive conditioning.
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Affiliation(s)
- Isabell Tapia León
- Department of Clinical Psychology, University of Siegen, Siegen, Germany.,Bender Institute for Neuroimaging (BION), Justus Liebig University, Giessen, Germany
| | - Onno Kruse
- Department of Clinical Psychology, University of Siegen, Siegen, Germany.,Department of Psychotherapy and Systems Neuroscience, Justus Liebig University, Giessen, Germany.,Bender Institute for Neuroimaging (BION), Justus Liebig University, Giessen, Germany
| | - Tobias Stalder
- Department of Clinical Psychology, University of Siegen, Siegen, Germany
| | - Rudolf Stark
- Department of Psychotherapy and Systems Neuroscience, Justus Liebig University, Giessen, Germany.,Bender Institute for Neuroimaging (BION), Justus Liebig University, Giessen, Germany
| | - Tim Klucken
- Department of Clinical Psychology, University of Siegen, Siegen, Germany.,Bender Institute for Neuroimaging (BION), Justus Liebig University, Giessen, Germany
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9
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Ballinger EC, Ananth M, Talmage DA, Role LW. Basal Forebrain Cholinergic Circuits and Signaling in Cognition and Cognitive Decline. Neuron 2017; 91:1199-1218. [PMID: 27657448 DOI: 10.1016/j.neuron.2016.09.006] [Citation(s) in RCA: 433] [Impact Index Per Article: 61.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/02/2016] [Indexed: 02/04/2023]
Abstract
Recent work continues to place cholinergic circuits at center stage for normal executive and mnemonic functioning and provides compelling evidence that the loss of cholinergic signaling and cognitive decline are inextricably linked. This Review focuses on the last few years of studies on the mechanisms by which cholinergic signaling contributes to circuit activity related to cognition. We attempt to identify areas of controversy, as well as consensus, on what is and is not yet known about how cholinergic signaling in the CNS contributes to normal cognitive processes. In addition, we delineate the findings from recent work on the extent to which dysfunction of cholinergic circuits contributes to cognitive decline associated with neurodegenerative disorders.
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Affiliation(s)
- Elizabeth C Ballinger
- Medical Scientist Training Program, Program in Neuroscience, Department of Neurobiology & Behavior, Stony Brook University, Stony Brook, NY 11794, USA.
| | - Mala Ananth
- Program in Neuroscience, Department of Neurobiology & Behavior, Department of Psychiatry & Behavioral Science, Stony Brook University, Stony Brook, NY 11794, USA
| | - David A Talmage
- Department of Pharmacological Sciences, CNS Disorders Center, Center for Molecular Medicine, Stony Brook University, Stony Brook, NY 11794, USA
| | - Lorna W Role
- Department of Neurobiology & Behavior, Neurosciences Institute, CNS Disorders Center, Center for Molecular Medicine, Stony Brook University, Stony Brook, NY 11794, USA.
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Nash CJ, Cole DJ, Bigler RS. A review of human sensory dynamics for application to models of driver steering and speed control. BIOLOGICAL CYBERNETICS 2016; 110:91-116. [PMID: 27086133 PMCID: PMC4903114 DOI: 10.1007/s00422-016-0682-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/13/2015] [Accepted: 02/22/2016] [Indexed: 06/05/2023]
Abstract
In comparison with the high level of knowledge about vehicle dynamics which exists nowadays, the role of the driver in the driver-vehicle system is still relatively poorly understood. A large variety of driver models exist for various applications; however, few of them take account of the driver's sensory dynamics, and those that do are limited in their scope and accuracy. A review of the literature has been carried out to consolidate information from previous studies which may be useful when incorporating human sensory systems into the design of a driver model. This includes information on sensory dynamics, delays, thresholds and integration of multiple sensory stimuli. This review should provide a basis for further study into sensory perception during driving.
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Affiliation(s)
- Christopher J. Nash
- Cambridge University Engineering Department, Trumpington Street, Cambridge, CB2 1PZ UK
| | - David J. Cole
- Cambridge University Engineering Department, Trumpington Street, Cambridge, CB2 1PZ UK
| | - Robert S. Bigler
- Cambridge University Engineering Department, Trumpington Street, Cambridge, CB2 1PZ UK
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Optogenetic activation of striatal cholinergic interneurons regulates L-dopa-induced dyskinesias. Neurobiol Dis 2016; 91:47-58. [PMID: 26921469 DOI: 10.1016/j.nbd.2016.02.019] [Citation(s) in RCA: 57] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2015] [Revised: 01/26/2016] [Accepted: 02/23/2016] [Indexed: 11/23/2022] Open
Abstract
L-dopa-induced dyskinesias (LIDs) are a serious complication of L-dopa therapy for Parkinson's disease. Emerging evidence indicates that the nicotinic cholinergic system plays a role in LIDs, although the pathways and mechanisms are poorly understood. Here we used optogenetics to investigate the role of striatal cholinergic interneurons in LIDs. Mice expressing cre-recombinase under the control of the choline acetyltransferase promoter (ChAT-Cre) were lesioned by unilateral injection of 6-hydroxydopamine. AAV5-ChR2-eYFP or AAV5-control-eYFP was injected into the dorsolateral striatum, and optical fibers implanted. After stable virus expression, mice were treated with L-dopa. They were then subjected to various stimulation protocols for 2h and LIDs rated. Continuous stimulation with a short duration optical pulse (1-5ms) enhanced LIDs. This effect was blocked by the general muscarinic acetylcholine receptor (mAChR) antagonist atropine indicating it was mAChR-mediated. By contrast, continuous stimulation with a longer duration optical pulse (20ms to 1s) reduced LIDs to a similar extent as nicotine treatment (~50%). The general nicotinic acetylcholine receptor (nAChR) antagonist mecamylamine blocked the decline in LIDs with longer optical pulses showing it was nAChR-mediated. None of the stimulation regimens altered LIDs in control-eYFP mice. Lesion-induced motor impairment was not affected by optical stimulation indicating that cholinergic transmission selectively regulates LIDs. Longer pulse stimulation increased the number of c-Fos expressing ChAT neurons, suggesting that changes in this immediate early gene may be involved. These results demonstrate that striatal cholinergic interneurons play a critical role in LIDs and support the idea that nicotine treatment reduces LIDs via nAChR desensitization.
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