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Sgourdou P, Schaffler M, Choi K, McCall NM, Burdge J, Williams J, Corder G, Fuccillo MV, Abdus-Saboor I, Epstein DJ. Impaired pain in mice lacking first-order posterior medial thalamic neurons. Pain 2024:00006396-990000000-00692. [PMID: 39190341 DOI: 10.1097/j.pain.0000000000003325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Accepted: 06/04/2024] [Indexed: 08/28/2024]
Abstract
ABSTRACT The thalamus plays an important role in sensory and motor information processing by mediating communication between the periphery and the cerebral cortex. Alterations in thalamic development have profound consequences on sensory and motor function. In this study, we investigated a mouse model in which thalamic nuclei formation is disrupted because of the absence of Sonic hedgehog (Shh) expression from 2 key signaling centers that are required for embryonic forebrain development. The resulting defects observed in distinct thalamic sensory nuclei in Shh mutant embryos persisted into adulthood prompting us to examine their effect on behavioral responses to somatosensory stimulation. Our findings reveal a role for first-order posterior medial thalamic neurons and their projections to layer 4 of the secondary somatosensory cortex in the transmission of nociceptive information. Together, these results establish a connection between a neurodevelopmental lesion in the thalamus and a modality-specific disruption in pain perception.
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Affiliation(s)
- Paraskevi Sgourdou
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Melanie Schaffler
- Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Kyuhyun Choi
- Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Nora M McCall
- Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Justin Burdge
- Department of Biology, University of Pennsylvania, Philadelphia, PA, United States
- Zuckerman Mind Brain Behavior Institute, Department of Biological Sciences, Columbia University, Jerome L. Greene Center, New York, NY, United States
| | - Joelle Williams
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Gregory Corder
- Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Marc V Fuccillo
- Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Ishmail Abdus-Saboor
- Department of Biology, University of Pennsylvania, Philadelphia, PA, United States
- Zuckerman Mind Brain Behavior Institute, Department of Biological Sciences, Columbia University, Jerome L. Greene Center, New York, NY, United States
| | - Douglas J Epstein
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
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2
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Tauste Campo A, Zainos A, Vázquez Y, Adell Segarra R, Álvarez M, Deco G, Díaz H, Parra S, Romo R, Rossi-Pool R. Thalamocortical interactions shape hierarchical neural variability during stimulus perception. iScience 2024; 27:110065. [PMID: 38993679 PMCID: PMC11237863 DOI: 10.1016/j.isci.2024.110065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Revised: 05/03/2024] [Accepted: 05/17/2024] [Indexed: 07/13/2024] Open
Abstract
The brain is organized hierarchically to process sensory signals. But, how do functional connections within and across areas contribute to this hierarchical order? We addressed this problem in the thalamocortical network, while monkeys detected vibrotactile stimulus. During this task, we quantified neural variability and directed functional connectivity in simultaneously recorded neurons sharing the cutaneous receptive field within and across VPL and areas 3b and 1. Before stimulus onset, VPL and area 3b exhibited similar fast dynamics while area 1 showed slower timescales. During the stimulus presence, inter-trial neural variability increased along the network VPL-3b-1 while VPL established two main feedforward pathways with areas 3b and 1 to process the stimulus. This lower variability of VPL and area 3b was found to regulate feedforward thalamocortical pathways. Instead, intra-cortical interactions were only anticipated by higher intrinsic timescales in area 1. Overall, our results provide evidence of hierarchical functional roles along the thalamocortical network.
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Affiliation(s)
- Adrià Tauste Campo
- Computational Biology and Complex Systems group, Department of Physics, Universitat Politècnica de Catalunya, Avinguda Dr. Marañón, 44-50, 08028 Barcelona, Catalonia, Spain
| | - Antonio Zainos
- Instituto de Fisiología Celular–Neurociencias, Universidad Nacional Autónoma de México, Mexico City 04510, Mexico
| | - Yuriria Vázquez
- Instituto de Fisiología Celular–Neurociencias, Universidad Nacional Autónoma de México, Mexico City 04510, Mexico
| | - Raul Adell Segarra
- Computational Biology and Complex Systems group, Department of Physics, Universitat Politècnica de Catalunya, Avinguda Dr. Marañón, 44-50, 08028 Barcelona, Catalonia, Spain
| | - Manuel Álvarez
- Instituto de Fisiología Celular–Neurociencias, Universidad Nacional Autónoma de México, Mexico City 04510, Mexico
| | - Gustavo Deco
- Center for Brain and Cognition (CBC), Department of Information Technologies and Communications (DTIC), Pompeu Fabra University, Edifici Mercè Rodoreda, Carrer Trias I Fargas 25-27, 08005 Barcelona, Catalonia, Spain
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Passeig Lluis Companys 23, 08010 Barcelona, Catalonia, Spain
| | - Héctor Díaz
- Instituto de Fisiología Celular–Neurociencias, Universidad Nacional Autónoma de México, Mexico City 04510, Mexico
| | - Sergio Parra
- Instituto de Fisiología Celular–Neurociencias, Universidad Nacional Autónoma de México, Mexico City 04510, Mexico
| | | | - Román Rossi-Pool
- Instituto de Fisiología Celular–Neurociencias, Universidad Nacional Autónoma de México, Mexico City 04510, Mexico
- Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Mexico City, Mexico
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Guet-McCreight A, Chameh HM, Mahallati S, Wishart M, Tripathy SJ, Valiante TA, Hay E. Age-dependent increased sag amplitude in human pyramidal neurons dampens baseline cortical activity. Cereb Cortex 2022; 33:4360-4373. [PMID: 36124673 DOI: 10.1093/cercor/bhac348] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 08/05/2022] [Accepted: 08/06/2022] [Indexed: 11/14/2022] Open
Abstract
Aging involves various neurobiological changes, although their effect on brain function in humans remains poorly understood. The growing availability of human neuronal and circuit data provides opportunities for uncovering age-dependent changes of brain networks and for constraining models to predict consequences on brain activity. Here we found increased sag voltage amplitude in human middle temporal gyrus layer 5 pyramidal neurons from older subjects and captured this effect in biophysical models of younger and older pyramidal neurons. We used these models to simulate detailed layer 5 microcircuits and found lower baseline firing in older pyramidal neuron microcircuits, with minimal effect on response. We then validated the predicted reduced baseline firing using extracellular multielectrode recordings from human brain slices of different ages. Our results thus report changes in human pyramidal neuron input integration properties and provide fundamental insights into the neuronal mechanisms of altered cortical excitability and resting-state activity in human aging.
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Affiliation(s)
- Alexandre Guet-McCreight
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, 250 College St, Toronto, ON M5T 1R8, Canada
| | | | - Sara Mahallati
- Krembil Brain Institute, University Health Network, Toronto, ON M5T1M8, Canada.,Institute of Biomedical Engineering, University of Toronto, Toronto, ON M5S 3G9, Canada
| | - Margaret Wishart
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, 250 College St, Toronto, ON M5T 1R8, Canada
| | - Shreejoy J Tripathy
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, 250 College St, Toronto, ON M5T 1R8, Canada.,Department of Psychiatry, University of Toronto, Toronto, Ontario M5T 1R8, Canada.,Institute of Medical Sciences, University of Toronto, Toronto, ON M5S 1A8, Canada.,Department of Physiology, University of Toronto, Toronto, ON M5S1A8, Canada
| | - Taufik A Valiante
- Krembil Brain Institute, University Health Network, Toronto, ON M5T1M8, Canada.,Institute of Biomedical Engineering, University of Toronto, Toronto, ON M5S 3G9, Canada.,Institute of Medical Sciences, University of Toronto, Toronto, ON M5S 1A8, Canada.,Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON M5S 3G4, Canada.,Department of Surgery, University of Toronto, Toronto, ON M5T 1P5, Canada.,Center for Advancing Neurotechnological Innovation to Application, University of Toronto, Toronto, ON M5G 2A2, Canada.,Max Planck-University of Toronto Center for Neural Science and Technology, Toronto, ON, Canada
| | - Etay Hay
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, 250 College St, Toronto, ON M5T 1R8, Canada.,Department of Psychiatry, University of Toronto, Toronto, Ontario M5T 1R8, Canada.,Department of Physiology, University of Toronto, Toronto, ON M5S1A8, Canada
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4
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Wang L, Ma L, Yang J, Wu J. Human Somatosensory Processing and Artificial Somatosensation. CYBORG AND BIONIC SYSTEMS 2021; 2021:9843259. [PMID: 36285142 PMCID: PMC9494715 DOI: 10.34133/2021/9843259] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Accepted: 04/30/2021] [Indexed: 11/06/2022] Open
Abstract
In the past few years, we have gained a better understanding of the information processing mechanism in the human brain, which has led to advances in artificial intelligence and humanoid robots. However, among the various sensory systems, studying the somatosensory system presents the greatest challenge. Here, we provide a comprehensive review of the human somatosensory system and its corresponding applications in artificial systems. Due to the uniqueness of the human hand in integrating receptor and actuator functions, we focused on the role of the somatosensory system in object recognition and action guidance. First, the low-threshold mechanoreceptors in the human skin and somatotopic organization principles along the ascending pathway, which are fundamental to artificial skin, were summarized. Second, we discuss high-level brain areas, which interacted with each other in the haptic object recognition. Based on this close-loop route, we used prosthetic upper limbs as an example to highlight the importance of somatosensory information. Finally, we present prospective research directions for human haptic perception, which could guide the development of artificial somatosensory systems.
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Affiliation(s)
- Luyao Wang
- Beijing Advanced Innovation Center for Intelligent Robots and Systems, Beijing Institute of Technology, Beijing, China
- School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China
| | - Lihua Ma
- Beijing Advanced Innovation Center for Intelligent Robots and Systems, Beijing Institute of Technology, Beijing, China
- School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China
| | - Jiajia Yang
- Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, Okayama, Japan
| | - Jinglong Wu
- Beijing Advanced Innovation Center for Intelligent Robots and Systems, Beijing Institute of Technology, Beijing, China
- School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China
- Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, Okayama, Japan
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5
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ElTarhouni AH, Beer L, Mouthon M, Erni B, Aellen J, Annoni JM, Accolla E, Dieguez S, Chabwine JN. The right thalamic ventral posterolateral nucleus seems to be determinant for macrosomatognosia: a case report. BMC Neurol 2020; 20:393. [PMID: 33115435 PMCID: PMC7594440 DOI: 10.1186/s12883-020-01970-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2020] [Accepted: 10/19/2020] [Indexed: 11/13/2022] Open
Abstract
Background Macrosomatognosiais the illusory sensation of a substantially enlarged body part. This disorder of the body schema, also called “Alice in wonderland syndrome” is still poorly understood and requires careful documentation and analysis of cases. The patient presented here is unique owing to his unusual macrosomatognosia phenomenology, but also given the unreported localization of his most significant lesion in the right thalamus that allowed consistent anatomo-clinical analysis. Case presentation This 45-years old man presented mainly with long-lasting and quasi-delusional macrosomatognosia associated to sensory deficits, both involving the left upper-body, in the context of a right thalamic ischemic lesion most presumably located in the ventral posterolateral nucleus. Fine-grained probabilistic and deterministic tractography revealed the most eloquent targets of the lesion projections to be the ipsilateral precuneus, superior parietal lobule,but also the right primary somatosensory cortex and, to a lesser extent, the right primary motor cortex. Under stationary neurorehabilitation, the patient slowly improved his symptoms and could be discharged back home and, later on, partially return to work. Conclusion We discuss deficient neural processing and integration of sensory inputs within the right ventral posterolateral nucleus lesion as possible mechanisms underlying macrosomatognosia in light of observed anatomo-clinical correlations. On the other hand, difficulty to classify this unique constellation of Alice in wonderland syndrome calls for an alternative taxonomy of cognitive and psychic aspects of illusory body-size perceptions. Supplementary information Supplementary information accompanies this paper at 10.1186/s12883-020-01970-3.
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Affiliation(s)
- Amir H ElTarhouni
- Division of Neurorehabilitation, Fribourg Hospital, Meyriez, Switzerland
| | - Laura Beer
- Division of Neurorehabilitation, Fribourg Hospital, Meyriez, Switzerland
| | - Michael Mouthon
- Neurology Unit, Department of Neuroscience and Movement Science, Medicine Section, Faculty of Science and Medicine, University of Fribourg, Chemin du Musée, 5, CH-1700, Fribourg, Switzerland
| | - Britt Erni
- Division of Neurorehabilitation, Fribourg Hospital, Meyriez, Switzerland
| | - Jerome Aellen
- Department of Radiology, Fribourg Hospital, Riaz, Switzerland
| | - Jean-Marie Annoni
- Neurology Unit, Department of Neuroscience and Movement Science, Medicine Section, Faculty of Science and Medicine, University of Fribourg, Chemin du Musée, 5, CH-1700, Fribourg, Switzerland
| | - Ettore Accolla
- Neurology Unit, Department of Neuroscience and Movement Science, Medicine Section, Faculty of Science and Medicine, University of Fribourg, Chemin du Musée, 5, CH-1700, Fribourg, Switzerland
| | - Sebastian Dieguez
- Neurology Unit, Department of Neuroscience and Movement Science, Medicine Section, Faculty of Science and Medicine, University of Fribourg, Chemin du Musée, 5, CH-1700, Fribourg, Switzerland
| | - Joelle N Chabwine
- Division of Neurorehabilitation, Fribourg Hospital, Meyriez, Switzerland. .,Neurology Unit, Department of Neuroscience and Movement Science, Medicine Section, Faculty of Science and Medicine, University of Fribourg, Chemin du Musée, 5, CH-1700, Fribourg, Switzerland.
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6
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Zhang J, Xu K, Zhang S, Wang Y, Zheng N, Pan G, Chen W, Wu Z, Zheng X. Brain-Machine Interface-Based Rat-Robot Behavior Control. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2019; 1101:123-147. [PMID: 31729674 DOI: 10.1007/978-981-13-2050-7_5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
Brain-machine interface (BMI) provides a bidirectional pathway between the brain and external facilities. The machine-to-brain pathway makes it possible to send artificial information back into the biological brain, interfering neural activities and generating sensations. The idea of the BMI-assisted bio-robotic animal system is accomplished by stimulations on specific sites of the nervous system. With the technology of BMI, animals' locomotion behavior can be precisely controlled as robots, which made the animal turning into bio-robot. In this chapter, we reviewed our lab works focused on rat-robot navigation. The principles of rat-robot system have been briefly described first, including the target brain sites chosen for locomotion control and the design of remote control system. Some methodological advances made by optogenetic technologies for better modulation control have then been introduced. Besides, we also introduced our implementation of "mind-controlled" rat navigation system. Moreover, we have presented our efforts made on combining biological intelligence with artificial intelligence, with developments of automatic control and training system assisted with images or voices inputs. We concluded this chapter by discussing further developments to acquire environmental information as well as promising applications with write-in BMIs.
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Affiliation(s)
- Jiacheng Zhang
- Qiushi Academy for Advanced Studies (QAAS), Zhejiang University, Hangzhou, People's Republic of China.,Department of Biomedical Engineering, Key Laboratory of Ministry of Education Ministry, Zhejiang University, Hangzhou, People's Republic of China.,Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal, Zhejiang University, Hangzhou, People's Republic of China
| | - Kedi Xu
- Qiushi Academy for Advanced Studies (QAAS), Zhejiang University, Hangzhou, People's Republic of China. .,Department of Biomedical Engineering, Key Laboratory of Ministry of Education Ministry, Zhejiang University, Hangzhou, People's Republic of China. .,Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal, Zhejiang University, Hangzhou, People's Republic of China.
| | - Shaomin Zhang
- Qiushi Academy for Advanced Studies (QAAS), Zhejiang University, Hangzhou, People's Republic of China.,Department of Biomedical Engineering, Key Laboratory of Ministry of Education Ministry, Zhejiang University, Hangzhou, People's Republic of China.,Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal, Zhejiang University, Hangzhou, People's Republic of China
| | - Yueming Wang
- Qiushi Academy for Advanced Studies (QAAS), Zhejiang University, Hangzhou, People's Republic of China.,College of Computer Science and Technology, Zhejiang University, Hangzhou, People's Republic of China
| | - Nenggan Zheng
- Qiushi Academy for Advanced Studies (QAAS), Zhejiang University, Hangzhou, People's Republic of China.,College of Computer Science and Technology, Zhejiang University, Hangzhou, People's Republic of China
| | - Gang Pan
- College of Computer Science and Technology, Zhejiang University, Hangzhou, People's Republic of China
| | - Weidong Chen
- Qiushi Academy for Advanced Studies (QAAS), Zhejiang University, Hangzhou, People's Republic of China.,Department of Biomedical Engineering, Key Laboratory of Ministry of Education Ministry, Zhejiang University, Hangzhou, People's Republic of China.,College of Computer Science and Technology, Zhejiang University, Hangzhou, People's Republic of China
| | - Zhaohui Wu
- College of Computer Science and Technology, Zhejiang University, Hangzhou, People's Republic of China
| | - Xiaoxiang Zheng
- Qiushi Academy for Advanced Studies (QAAS), Zhejiang University, Hangzhou, People's Republic of China.,Department of Biomedical Engineering, Key Laboratory of Ministry of Education Ministry, Zhejiang University, Hangzhou, People's Republic of China.,Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal, Zhejiang University, Hangzhou, People's Republic of China
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7
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Swan BD, Gasperson LB, Krucoff MO, Grill WM, Turner DA. Sensory percepts induced by microwire array and DBS microstimulation in human sensory thalamus. Brain Stimul 2017; 11:416-422. [PMID: 29126946 DOI: 10.1016/j.brs.2017.10.017] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2017] [Revised: 10/20/2017] [Accepted: 10/23/2017] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Microstimulation in human sensory thalamus (ventrocaudal, VC) results in focal sensory percepts in the hand and arm which may provide an alternative target site (to somatosensory cortex) for the input of prosthetic sensory information. Sensory feedback to facilitate motor function may require simultaneous or timed responses across separate digits to recreate perceptions of slip as well as encoding of intensity variations in pressure or touch. OBJECTIVES To determine the feasibility of evoking sensory percepts on separate digits with variable intensity through either a microwire array or deep brain stimulation (DBS) electrode, recreating "natural" and scalable percepts relating to the arm and hand. METHODS We compared microstimulation within ventrocaudal sensory thalamus through either a 16-channel microwire array (∼400 kΩ per channel) or a 4-channel DBS electrode (∼1.2 kΩ per contact) for percept location, size, intensity, and quality sensation, during thalamic DBS electrode placement in patients with essential tremor. RESULTS Percepts in small hand or finger regions were evoked by microstimulation through individual microwires and in 5/6 patients sensation on different digits could be perceived from stimulation through separate microwires. Microstimulation through DBS electrode contacts evoked sensations over larger areas in 5/5 patients, and the apparent intensity of the perceived response could be modulated with stimulation amplitude. The perceived naturalness of the sensation depended both on the pattern of stimulation as well as intensity of the stimulation. CONCLUSIONS Producing consistent evoked perceptions across separate digits within sensory thalamus is a feasible concept and a compact alternative to somatosensory cortex microstimulation for prosthetic sensory feedback. This approach will require a multi-element low impedance electrode with a sufficient stimulation range to evoke variable intensities of perception and a predictable spread of contacts to engage separate digits.
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Affiliation(s)
- Brandon D Swan
- Department of Biomedical Engineering, Duke University, Durham, NC 27710, United States
| | - Lynne B Gasperson
- Department of Neurosurgery, Duke University Medical Center, Durham, NC 27710, United States
| | - Max O Krucoff
- Department of Neurosurgery, Duke University Medical Center, Durham, NC 27710, United States
| | - Warren M Grill
- Department of Neurosurgery, Duke University Medical Center, Durham, NC 27710, United States; Department of Neurobiology, Duke University Medical Center, Durham, NC 27710, United States; Department of Biomedical Engineering, Duke University, Durham, NC 27710, United States
| | - Dennis A Turner
- Department of Neurosurgery, Duke University Medical Center, Durham, NC 27710, United States; Department of Neurobiology, Duke University Medical Center, Durham, NC 27710, United States; Department of Biomedical Engineering, Duke University, Durham, NC 27710, United States.
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8
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Sritharan SY, Richardson AG, Weigand PK, Planell-Mendez I, Van der Spiegel J, Lucas TH. Somatosensory encoding with cuneate nucleus microstimulation: Detection of artificial stimuli. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2017; 2016:4719-4722. [PMID: 28269325 DOI: 10.1109/embc.2016.7591781] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
The sense of touch and proprioception are critical to movement control. After spinal cord injury, these senses may be restored with direct, electrical microstimulation of the brain as part of a complete sensorimotor neuroprosthesis. The present study was designed to test, in part, the hypothesis that the cuneate nucleus (CN) of the brainstem is a suitable site to encode somatosensory information. Two rhesus macaques were implanted with microelectrode arrays providing chronic access to the CN. The monkeys were trained on an active touch oddity task to detect vibrotactile stimuli. When the vibrotactile stimuli were replaced with electrical stimuli delivered to the CN, initial detection probabilities were near chance. Detection performance improved over time, reaching a plateau after about 10 daily sessions. At plateau performance, the monkeys exhibited detection probabilities that were 68-80% higher than the chance probability. Finally, detection probability was quantified as a function of stimulus amplitude. The resulting psychometric curve showed a detection threshold of 45 μA for 100-Hz stimulus trains. These behavioral data are the first to show that artificial CN activation is sufficient for perception. The results are consistent with our hypothesis and motivate future tests of the CN as a somatosensory encoding site.
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9
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Chien JH, Korzeniewska A, Colloca L, Campbell C, Dougherty P, Lenz F. Human Thalamic Somatosensory Nucleus (Ventral Caudal, Vc) as a Locus for Stimulation by INPUTS from Tactile, Noxious and Thermal Sensors on an Active Prosthesis. SENSORS (BASEL, SWITZERLAND) 2017; 17:E1197. [PMID: 28538681 PMCID: PMC5492124 DOI: 10.3390/s17061197] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/31/2017] [Revised: 05/05/2017] [Accepted: 05/16/2017] [Indexed: 12/31/2022]
Abstract
The forebrain somatic sensory locus for input from sensors on the surface of an active prosthesis is an important component of the Brain Machine Interface. We now review the neuronal responses to controlled cutaneous stimuli and the sensations produced by Threshold Stimulation at Microampere current levels (TMIS) in such a locus, the human thalamic Ventral Caudal nucleus (Vc). The responses of these neurons to tactile stimuli mirror those for the corresponding class of tactile mechanoreceptor fiber in the peripheral nerve, and TMIS can evoke sensations like those produced by the stimuli that optimally activate each class. These neuronal responses show a somatotopic arrangement from lateral to medial in the sequence: leg, arm, face and intraoral structures. TMIS evoked sensations show a much more detailed organization into anterior posteriorly oriented rods, approximately 300 microns diameter, that represent smaller parts of the body, such as parts of individual digits. Neurons responding to painful and thermal stimuli are most dense around the posterior inferior border of Vc, and TMIS evoked pain sensations occur in one of two patterns: (i) pain evoked regardless of the frequency or number of spikes in a burst of TMIS; and (ii) the description and intensity of the sensation changes with increasing frequencies and numbers. In patients with major injuries leading to loss of somatic sensory input, TMIS often evokes sensations in the representation of parts of the body with loss of sensory input, e.g., the phantom after amputation. Some patients with these injuries have ongoing pain and pain evoked by TMIS of the representation in those parts of the body. Therefore, thalamic TMIS may produce useful patterned somatotopic feedback to the CNS from sensors on an active prosthesis that is sometimes complicated by TMIS evoked pain in the representation of those parts of the body.
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Affiliation(s)
- Jui Hong Chien
- Department of Neurosurgery, Johns Hopkins University, Baltimore, MD 21287, USA.
| | - Anna Korzeniewska
- Departments of Neurology and Cognitive Science, Johns Hopkins University, Baltimore, MD 21287, USA.
| | - Luana Colloca
- Department of Pain Translational Symptom Science, School of Nursing, and Department of Anesthesiology, School of Medicine, University of Maryland, Baltimore, MD 20742, USA.
| | - Claudia Campbell
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, MD 21287, USA.
| | - Patrick Dougherty
- Department of Anesthesiology and Critical Care Medicine, M.D. Anderson Hospital, Houston, TX 77054, USA.
| | - Frederick Lenz
- Department of Neurosurgery, Johns Hopkins University, Baltimore, MD 21287, USA.
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10
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Devecioğlu İ, Güçlü B. Psychophysical correspondence between vibrotactile intensity and intracortical microstimulation for tactile neuroprostheses in rats. J Neural Eng 2016; 14:016010. [PMID: 27991426 DOI: 10.1088/1741-2552/14/1/016010] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
OBJECTIVE Recent studies showed that intracortical microstimulation (ICMS) generates artificial sensations which can be utilized as somatosensory feedback in cortical neuroprostheses. To mimic the natural psychophysical response, ICMS parameters are modulated according to psychometric equivalence functions (PEFs). PEFs match the intensity levels of ICMS and mechanical stimuli, which elicit equal detection probabilities, but they typically do not include the frequency as a control variable. We aimed to establish frequency-dependent PEFs for vibrotactile stimulation of the glabrous skin and ICMS in the primary somatosensory cortex of awake freely behaving rats. APPROACH We collected psychometric data for vibrotactile and ICMS detection at three stimulation frequencies (40, 60 and 80 Hz). The psychometric data were fitted with a model equation of two independent variables (stimulus intensity and frequency) and four subject-dependent parameters. For each rat, we constructed a separate PEF which was used to estimate the ICMS current amplitude for a given displacement amplitude and frequency. The ICMS frequency was set equal to the vibrotactile frequency. We validated the PEFs in a modified task which included randomly selected probe trials presented either with a vibrotactile or an ICMS stimulus, and also at frequencies and intensity levels not tested before. MAIN RESULTS The PEFs were generally successful in estimating the ICMS current intensities (no significant differences between vibrotactile and ICMS trials in Kolmogorov-Smirnov tests). Specifically, hit rates from both trial conditions were significantly correlated in 86% of the cases, and 52% of all data had perfect match in linear regression. SIGNIFICANCE The psychometric correspondence model presented in this study was constructed based on surface functions which define psychophysical detection probability as a function of stimulus intensity and frequency. Therefore, it may be used for the real-time modulation of the frequency and intensity of ICMS pulses in somatosensory neuroprostheses.
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Affiliation(s)
- İsmail Devecioğlu
- Institute of Biomedical Engineering, Boğaziçi University, İstanbul 34684, Turkey. Biomedical Engineering Department, Namık Kemal University, Tekirdağ 59030, Turkey
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