1
|
Zhao Z, Yu H, Wisniewski DJ, Cea C, Ma L, Trautmann EM, Churchland MM, Gelinas JN, Khodagholy D. Formation of Anisotropic Conducting Interlayer for High-Resolution Epidermal Electromyography Using Mixed-Conducting Particulate Composite. Adv Sci (Weinh) 2024:e2308014. [PMID: 38600655 DOI: 10.1002/advs.202308014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 02/07/2024] [Indexed: 04/12/2024]
Abstract
Epidermal electrophysiology is a non-invasive method used in research and clinical practices to study the electrical activity of the brain, heart, nerves, and muscles. However, electrode/tissue interlayer materials such as ionically conducting pastes can negatively affect recordings by introducing lateral electrode-to-electrode ionic crosstalk and reducing spatial resolution. To overcome this issue, biocompatible, anisotropic-conducting interlayer composites (ACI) that establish an electrically anisotropic interface with the skin are developed, enabling the application of dense cutaneous sensor arrays. High-density, conformable electrodes are also microfabricated that adhere to the ACI and follow the curvilinear surface of the skin. The results show that ACI significantly enhances the spatial resolution of epidermal electromyography (EMG) recording compared to conductive paste, permitting the acquisition of single muscle action potentials with distinct spatial profiles. The high-density EMG in developing mice, non-human primates, and humans is validated. Overall, high spatial-resolution epidermal electrophysiology enabled by ACI has the potential to advance clinical diagnostics of motor system disorders and enhance data quality for human-computer interface applications.
Collapse
Affiliation(s)
- Zifang Zhao
- Department of Electrical Engineering, Columbia University, New York, 10027, USA
| | - Han Yu
- Department of Electrical Engineering, Columbia University, New York, 10027, USA
| | - Duncan J Wisniewski
- Department of Electrical Engineering, Columbia University, New York, 10027, USA
| | - Claudia Cea
- Department of Electrical Engineering, Columbia University, New York, 10027, USA
| | - Liang Ma
- Department of Biomedical Engineering, Columbia University, New York, 10027, USA
| | - Eric M Trautmann
- Department of Neuroscience, Columbia University, New York, NY, 10032, USA
- Zuckerman Mind Brain Behavior Institute, Columbia University, New York, 10027, USA
| | - Mark M Churchland
- Department of Neuroscience, Columbia University, New York, NY, 10032, USA
- Zuckerman Mind Brain Behavior Institute, Columbia University, New York, 10027, USA
- Kavli Institute for Brain Science, Columbia University, New York, 10032, USA
- Grossman Center for the Statistics of Mind, Columbia University, New York, USA
| | - Jennifer N Gelinas
- Department of Biomedical Engineering, Columbia University, New York, 10027, USA
- Department of Neurology, Columbia University Irving Medical Center, New York, 10032, USA
| | - Dion Khodagholy
- Department of Electrical Engineering, Columbia University, New York, 10027, USA
- Department of Electrical Engineering, University of California, Irvine, CA, 92697, USA
| |
Collapse
|
2
|
Ma L, Wisniewski DJ, Cea C, Khodagholy D, Gelinas JN. High-Density, Conformable Conducting Polymer-Based Implantable Neural Probes for the Developing Brain. Adv Healthc Mater 2024:e2304164. [PMID: 38591809 DOI: 10.1002/adhm.202304164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2023] [Revised: 03/28/2024] [Indexed: 04/10/2024]
Abstract
Neurologic and neuropsychiatric disorders substantially impact the pediatric population, but there is a lack of dedicated devices for monitoring the developing brain in animal models, leading to gaps in mechanistic understanding of how brain functions emerge and their disruption in disease states. Due to the small size, fragility, and high water content of immature neural tissue, as well as the absence of a hardened skull to mechanically support rigid devices, conventional neural interface devices are poorly suited to acquire brain signals without inducing damage. Here, the authors design conformable, implantable, conducting polymer-based probes (NeuroShanks) for precise targeting in the developing mouse brain without the need for skull-attached, rigid mechanical support structures. These probes enable the acquisition of high spatiotemporal resolution neurophysiologic activity from superficial and deep brain regions across unanesthetized behavioral states without causing tissue disruption or device failure. Once implanted, probes are mechanically stable and permit precise, stable signal monitoring at the level of the local field potential and individual action potentials. These results support the translational potential of such devices for clinically indicated neurophysiologic recording in pediatric patients. Additionally, the role of organic bioelectronics as an enabling technology to address questions in developmental neuroscience is revealed.
Collapse
Affiliation(s)
- Liang Ma
- Department of Biomedical Engineering, Columbia University, New York, NY, 10027, USA
| | - Duncan J Wisniewski
- Department of Electrical Engineering, Columbia University, New York, NY, 10027, USA
| | - Claudia Cea
- Department of Electrical Engineering, Columbia University, New York, NY, 10027, USA
| | - Dion Khodagholy
- Department of Electrical Engineering, Columbia University, New York, NY, 10027, USA
| | - Jennifer N Gelinas
- Department of Biomedical Engineering, Columbia University, New York, NY, 10027, USA
- Department of Electrical Engineering, Columbia University, New York, NY, 10027, USA
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, 10032, USA
| |
Collapse
|
3
|
Ferrero JJ, Hassan AR, Yu Z, Zhao Z, Ma L, Wu C, Shao S, Kawano T, Engel J, Doyle W, Devinsky O, Khodagholy D, Gelinas JN. Closed-loop electrical stimulation to prevent focal epilepsy progression and long-term memory impairment. bioRxiv 2024:2024.02.09.579660. [PMID: 38405990 PMCID: PMC10888806 DOI: 10.1101/2024.02.09.579660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
Interictal epileptiform discharges (IEDs) are ubiquitously expressed in epileptic networks and disrupt cognitive functions. It is unclear whether addressing IED-induced dysfunction could improve epilepsy outcomes as most therapeutics target seizures. We show in a model of progressive hippocampal epilepsy that IEDs produce pathological oscillatory coupling which is associated with prolonged, hypersynchronous neural spiking in synaptically connected cortex and expands the brain territory capable of generating IEDs. A similar relationship between IED-mediated oscillatory coupling and temporal organization of IEDs across brain regions was identified in human subjects with refractory focal epilepsy. Spatiotemporally targeted closed-loop electrical stimulation triggered on hippocampal IED occurrence eliminated the abnormal cortical activity patterns, preventing spread of the epileptic network and ameliorating long-term spatial memory deficits in rodents. These findings suggest that stimulation-based network interventions that normalize interictal dynamics may be an effective treatment of epilepsy and its comorbidities, with a low barrier to clinical translation. One-Sentence Summary Targeted closed-loop electrical stimulation prevents spread of the epileptic network and ameliorates long-term spatial memory deficits.
Collapse
|
4
|
Yu H, Kim W, Park DK, Phi JH, Lim BC, Chae JH, Kim SK, Kim KJ, Provenzano FA, Khodagholy D, Gelinas JN. Interaction of interictal epileptiform activity with sleep spindles is associated with cognitive deficits and adverse surgical outcome in pediatric focal epilepsy. Epilepsia 2024; 65:190-203. [PMID: 37983643 PMCID: PMC10873110 DOI: 10.1111/epi.17810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 10/20/2023] [Accepted: 10/20/2023] [Indexed: 11/22/2023]
Abstract
OBJECTIVE Temporal coordination between oscillations enables intercortical communication and is implicated in cognition. Focal epileptic activity can affect distributed neural networks and interfere with these interactions. Refractory pediatric epilepsies are often accompanied by substantial cognitive comorbidity, but mechanisms and predictors remain mostly unknown. Here, we investigate oscillatory coupling across large-scale networks in the developing brain. METHODS We analyzed large-scale intracranial electroencephalographic recordings in children with medically refractory epilepsy undergoing presurgical workup (n = 25, aged 3-21 years). Interictal epileptiform discharges (IEDs), pathologic high-frequency oscillations (HFOs), and sleep spindles were detected. Spatiotemporal metrics of oscillatory coupling were determined and correlated with age, cognitive function, and postsurgical outcome. RESULTS Children with epilepsy demonstrated significant temporal coupling of both IEDs and HFOs to sleep spindles in discrete brain regions. HFOs were associated with stronger coupling patterns than IEDs. These interactions involved tissue beyond the clinically identified epileptogenic zone and were ubiquitous across cortical regions. Increased spatial extent of coupling was most prominent in older children. Poor neurocognitive function was significantly correlated with high IED-spindle coupling strength and spatial extent; children with strong pathologic interactions additionally had decreased likelihood of postoperative seizure freedom. SIGNIFICANCE Our findings identify pathologic large-scale oscillatory coupling patterns in the immature brain. These results suggest that such intercortical interactions could predict risk for adverse neurocognitive and surgical outcomes, with the potential to serve as novel therapeutic targets to restore physiologic development.
Collapse
Affiliation(s)
- Han Yu
- Department of Electrical Engineering, Columbia University, New York, NY, USA
| | - Woojoong Kim
- Division of Pediatric Neurology, Department of Pediatrics, Pediatric Clinical Neuroscience Center, Seoul National University Children's Hospital, Seoul, South Korea
| | - David K. Park
- Department of Biomedical Engineering, Columbia University, New York, NY, USA
| | - Ji Hoon Phi
- Division of Pediatric Neurosurgery, Department of Neurosurgery, Pediatric Clinical Neuroscience Center, Seoul National University Children's Hospital, Seoul, South Korea
| | - Byung Chan Lim
- Division of Pediatric Neurology, Department of Pediatrics, Pediatric Clinical Neuroscience Center, Seoul National University Children's Hospital, Seoul, South Korea
| | - Jong-Hee Chae
- Division of Pediatric Neurology, Department of Pediatrics, Pediatric Clinical Neuroscience Center, Seoul National University Children's Hospital, Seoul, South Korea
| | - Seung-Ki Kim
- Division of Pediatric Neurosurgery, Department of Neurosurgery, Pediatric Clinical Neuroscience Center, Seoul National University Children's Hospital, Seoul, South Korea
| | - Ki Joong Kim
- Division of Pediatric Neurology, Department of Pediatrics, Pediatric Clinical Neuroscience Center, Seoul National University Children's Hospital, Seoul, South Korea
| | | | - Dion Khodagholy
- Department of Electrical Engineering, Columbia University, New York, NY, USA
| | - Jennifer N. Gelinas
- Departments of Neurology, Columbia University, New York, NY, USA
- Institute for Genomic Medicine, Columbia University Medical Center, New York, NY, USA
| |
Collapse
|
5
|
Rauhala OJ, Ma L, Wisniewski DJ, Shao S, Schumacher B, Lopez JF, Kaspers M, Zhao Z, Gelinas JN, Khodagholy D. E-Suture: Mixed-Conducting Suture for Medical Devices. Adv Healthc Mater 2023:e2302613. [PMID: 38150402 DOI: 10.1002/adhm.202302613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 12/17/2023] [Indexed: 12/29/2023]
Abstract
Modern implantable bioelectronics demand soft, biocompatible components that make robust, low-impedance connections with the body and circuit elements. Concurrently, such technologies must demonstrate high efficiency, with the ability to interface between the body's ionic and external electronic charge carriers. Here, a mixed-conducting suture, the e-suture, is presented. Composed of silk, the conducting polymer poly(3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS), and insulating jacketing polymers,the resulting e-suture has mixed-conducting properties at the interface with biological tissue as well as effective insulation along its length. The e-suture can be mechanically integrated into electronics, enabling the acquisition of biopotentials such as electrocardiograms, electromyograms, and local field potentials (LFP). Chronic, in vivo acquisition of LFP with e-sutures remains stable for months with robust brain activity patterns. Furthermore, e-sutures can establish electrophoretic-based local drug delivery, potentially offering enhanced anatomical targeting and decreased side effects associated with systemic administration, while maintaining an electrically conducting interface for biopotential monitoring. E-sutures expand on the conventional role of sutures and wires by providing a soft, biocompatible, and mechanically sound structure that additionally has multifunctional capacity for sensing, stimulation, and drug delivery.
Collapse
Affiliation(s)
- Onni J Rauhala
- Department of Electrical Engineering, Columbia University, New York, 10027, USA
| | - Liang Ma
- Department of Biomedical Engineering, Columbia University, New York, 10027, USA
| | - Duncan J Wisniewski
- Department of Electrical Engineering, Columbia University, New York, 10027, USA
| | - Shan Shao
- Department of Neurology, Columbia University Irving Medical Center, New York, 10032, USA
| | - Brandon Schumacher
- Department of Neurology, Columbia University Irving Medical Center, New York, 10032, USA
| | - Jose Ferrero Lopez
- Department of Neurology, Columbia University Irving Medical Center, New York, 10032, USA
| | - Mara Kaspers
- Department of Biomedical Engineering, Columbia University, New York, 10027, USA
| | - Zifang Zhao
- Department of Electrical Engineering, Columbia University, New York, 10027, USA
| | - Jennifer N Gelinas
- Department of Biomedical Engineering, Columbia University, New York, 10027, USA
- Department of Neurology, Columbia University Irving Medical Center, New York, 10032, USA
| | - Dion Khodagholy
- Department of Electrical Engineering, Columbia University, New York, 10027, USA
| |
Collapse
|
6
|
Sha B, Zhao S, Gu M, Khodagholy D, Wang L, Bi GQ, Du Z. Doping-induced assembly interface for noninvasive in vivo local and systemic immunomodulation. Proc Natl Acad Sci U S A 2023; 120:e2306777120. [PMID: 38032937 DOI: 10.1073/pnas.2306777120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Accepted: 10/23/2023] [Indexed: 12/02/2023] Open
Abstract
Peripheral neural interfaces, potent in modulating local and systemic immune responses for disease treatment, face significant challenges due to the peripheral nerves' broad distribution in tissues like the fascia, periosteum, and skin. The incongruity between static electronic components and the dynamic, complex organization of the peripheral nervous system often leads to interface failure, stalling circuit research and clinical applications. To overcome these, we developed a self-assembling, tissue-adaptive electrode composed of a single-component cocktail nanosheet colloid, including dopants, conducting polymers, stabilizers, and an MXene catalyst. Delivered via a jet injector to designated nerve terminals, this assembly utilizes reactive oxygen species to catalytically dope poly (3,4-ethylenedioxythiophene), enhancing π-π interactions between nanosheets, and yielding a conductive, biodegradable interface. This interface effectively regulates local immune activity and promotes sensory and motor nerve functional restoration in nerve-injured mice, while engaging the vagal-adrenal axis in freely moving mice, eliciting catecholamine neurotransmitter release, and suppressing systemic cytokine storms. This innovative strategy specifically targets nerve substructures, bolstering local and systemic immune modulation, and paving the way for the development of self-adaptive dynamic neural interfaces.
Collapse
Affiliation(s)
- Baoning Sha
- Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- Chinese Academy of Sciences Key Laboratory of Brain Connectome and Manipulation, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- Shenzhen-Hong Kong Institute of Brain Science, Shenzhen Fundamental Research Institutions, Shenzhen 518055, China
- Faculty of Life and Health Sciences, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- Department of Biomedical Engineering, Columbia University, New York, NY 10027
- Department of Electrical Engineering, Columbia University, New York, NY 10027
| | - Shengzhuo Zhao
- Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- Chinese Academy of Sciences Key Laboratory of Brain Connectome and Manipulation, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- Shenzhen-Hong Kong Institute of Brain Science, Shenzhen Fundamental Research Institutions, Shenzhen 518055, China
- Faculty of Life and Health Sciences, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- Nano Science and Technology Institute, University of Science and Technology of China, Suzhou 215123, China
| | - Minling Gu
- Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- Chinese Academy of Sciences Key Laboratory of Brain Connectome and Manipulation, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- Shenzhen-Hong Kong Institute of Brain Science, Shenzhen Fundamental Research Institutions, Shenzhen 518055, China
- Faculty of Life and Health Sciences, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Dion Khodagholy
- Department of Electrical Engineering, Columbia University, New York, NY 10027
| | - Liping Wang
- Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- Chinese Academy of Sciences Key Laboratory of Brain Connectome and Manipulation, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- Shenzhen-Hong Kong Institute of Brain Science, Shenzhen Fundamental Research Institutions, Shenzhen 518055, China
- Faculty of Life and Health Sciences, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Guo-Qiang Bi
- Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- Chinese Academy of Sciences Key Laboratory of Brain Connectome and Manipulation, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- Shenzhen-Hong Kong Institute of Brain Science, Shenzhen Fundamental Research Institutions, Shenzhen 518055, China
- Faculty of Life and Health Sciences, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- Center for Integrative Imaging, Hefei National Laboratory for Physical Sciences at the Microscale, and School of Life Sciences, University of Science and Technology of China, Hefei 230026, China
| | - Zhanhong Du
- Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- Chinese Academy of Sciences Key Laboratory of Brain Connectome and Manipulation, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- Shenzhen-Hong Kong Institute of Brain Science, Shenzhen Fundamental Research Institutions, Shenzhen 518055, China
- Faculty of Life and Health Sciences, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| |
Collapse
|
7
|
Cea C, Zhao Z, Wisniewski DJ, Spyropoulos GD, Polyravas A, Gelinas JN, Khodagholy D. Integrated internal ion-gated organic electrochemical transistors for stand-alone conformable bioelectronics. Nat Mater 2023; 22:1227-1235. [PMID: 37429941 PMCID: PMC10533388 DOI: 10.1038/s41563-023-01599-w] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Accepted: 06/04/2023] [Indexed: 07/12/2023]
Abstract
Organic electronics can be biocompatible and conformable, enhancing the ability to interface with tissue. However, the limitations of speed and integration have, thus far, necessitated reliance on silicon-based technologies for advanced processing, data transmission and device powering. Here we create a stand-alone, conformable, fully organic bioelectronic device capable of realizing these functions. This device, vertical internal ion-gated organic electrochemical transistor (vIGT), is based on a transistor architecture that incorporates a vertical channel and a miniaturized hydration access conduit to enable megahertz-signal-range operation within densely packed integrated arrays in the absence of crosstalk. These transistors demonstrated long-term stability in physiologic media, and were used to generate high-performance integrated circuits. We leveraged the high-speed and low-voltage operation of vertical internal ion-gated organic electrochemical transistors to develop alternating-current-powered conformable circuitry to acquire and wirelessly communicate signals. The resultant stand-alone device was implanted in freely moving rodents to acquire, process and transmit neurophysiologic brain signals. Such fully organic devices have the potential to expand the utility and accessibility of bioelectronics to a wide range of clinical and societal applications.
Collapse
Affiliation(s)
- Claudia Cea
- Department of Electrical Engineering, Columbia University, New York, NY, USA
| | - Zifang Zhao
- Department of Electrical Engineering, Columbia University, New York, NY, USA
| | - Duncan J Wisniewski
- Department of Electrical Engineering, Columbia University, New York, NY, USA
| | - George D Spyropoulos
- Department of Electrical Engineering, Columbia University, New York, NY, USA
- Department Information Technology, Waves, UGhent, Technology Campus, iGhent, Zwijnaarde, Belgium
| | | | - Jennifer N Gelinas
- Department of Neurology, Columbia University Medical Center, New York, NY, USA.
- Institute for Genomic Medicine, Columbia University Medical Center, New York, NY, USA.
| | - Dion Khodagholy
- Department of Electrical Engineering, Columbia University, New York, NY, USA.
| |
Collapse
|
8
|
Armada-Moreira A, Dar AM, Zhao Z, Cea C, Gelinas J, Berggren M, Costa A, Khodagholy D, Stavrinidou E. Plant electrophysiology with conformable organic electronics: Deciphering the propagation of Venus flytrap action potentials. Sci Adv 2023; 9:eadh4443. [PMID: 37494449 PMCID: PMC10371018 DOI: 10.1126/sciadv.adh4443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Accepted: 06/22/2023] [Indexed: 07/28/2023]
Abstract
Electrical signals in plants are mediators of long-distance signaling and correlate with plant movements and responses to stress. These signals are studied with single surface electrodes that cannot resolve signal propagation and integration, thus impeding their decoding and link to function. Here, we developed a conformable multielectrode array based on organic electronics for large-scale and high-resolution plant electrophysiology. We performed precise spatiotemporal mapping of the action potential (AP) in Venus flytrap and found that the AP actively propagates through the tissue with constant speed and without strong directionality. We also found that spontaneously generated APs can originate from unstimulated hairs and that they correlate with trap movement. Last, we demonstrate that the Venus flytrap circuitry can be activated by cells other than the sensory hairs. Our work reveals key properties of the AP and establishes the capacity of organic bioelectronics for resolving electrical signaling in plants contributing to the mechanistic understanding of long-distance responses in plants.
Collapse
Affiliation(s)
- Adam Armada-Moreira
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, SE-601 74 Norrköping, Sweden
- Neuronal Dynamics Lab, International School for Advanced Studies, 34136 Trieste TS, Italy
| | - Abdul Manan Dar
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, SE-601 74 Norrköping, Sweden
| | - Zifang Zhao
- Department of Electrical Engineering, Columbia University, New York, NY 10027, USA
| | - Claudia Cea
- Department of Electrical Engineering, Columbia University, New York, NY 10027, USA
| | - Jennifer Gelinas
- Department of Neurology, Columbia University Medical Center, New York, NY 10032, USA
| | - Magnus Berggren
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, SE-601 74 Norrköping, Sweden
- Wallenberg Wood Science Center, Department of Science and Technology, Linköping University, SE-601 74 Norrköping, Sweden
| | - Alex Costa
- Department of Biosciences, University of Milan, 20133 Milano, Italy
- Institute of Biophysics, National Research Council of Italy (CNR), 20133 Milano, Italy
| | - Dion Khodagholy
- Department of Electrical Engineering, Columbia University, New York, NY 10027, USA
| | - Eleni Stavrinidou
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, SE-601 74 Norrköping, Sweden
- Wallenberg Wood Science Center, Department of Science and Technology, Linköping University, SE-601 74 Norrköping, Sweden
- Umeå Plant Science Center, Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural Sciences, SE-901 83 Umeå, Sweden
| |
Collapse
|
9
|
Khodagholy D, Ferrero JJ, Park J, Zhao Z, Gelinas JN. Large-scale, closed-loop interrogation of neural circuits underlying cognition. Trends Neurosci 2022; 45:968-983. [PMID: 36404457 PMCID: PMC10437206 DOI: 10.1016/j.tins.2022.10.003] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 09/26/2022] [Accepted: 10/03/2022] [Indexed: 11/05/2022]
Abstract
Cognitive functions are increasingly understood to involve coordinated activity patterns between multiple brain regions, and their disruption by neuropsychiatric disorders is similarly complex. Closed-loop neurostimulation can directly modulate neural signals with temporal and spatial precision. How to leverage such an approach to effectively identify and target distributed neural networks implicated in mediating cognition remains unclear. We review current conceptual and technical advances in this area, proposing that devices that enable large-scale acquisition, integrated processing, and multiregion, arbitrary waveform stimulation will be critical for mechanistically driven manipulation of cognitive processes in physiological and pathological brain networks.
Collapse
Affiliation(s)
- Dion Khodagholy
- Department of Electrical Engineering, Columbia University, New York, NY 10027, USA.
| | - Jose J Ferrero
- Institute for Genomic Medicine, Columbia University Irving Medical Center, 701 W 168(th) St., New York, NY 10032, USA
| | - Jaehyo Park
- Department of Electrical Engineering, Columbia University, New York, NY 10027, USA
| | - Zifang Zhao
- Department of Electrical Engineering, Columbia University, New York, NY 10027, USA; Institute for Genomic Medicine, Columbia University Irving Medical Center, 701 W 168(th) St., New York, NY 10032, USA
| | - Jennifer N Gelinas
- Institute for Genomic Medicine, Columbia University Irving Medical Center, 701 W 168(th) St., New York, NY 10032, USA; Department of Neurology, Columbia University Medical Center, New York, NY 10032, USA..
| |
Collapse
|
10
|
Hassan AR, Zhao Z, Ferrero JJ, Cea C, Jastrzebska‐Perfect P, Myers J, Asman P, Ince NF, McKhann G, Viswanathan A, Sheth SA, Khodagholy D, Gelinas JN. Translational Organic Neural Interface Devices at Single Neuron Resolution. Adv Sci (Weinh) 2022; 9:e2202306. [PMID: 35908811 PMCID: PMC9507374 DOI: 10.1002/advs.202202306] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 06/10/2022] [Indexed: 06/15/2023]
Abstract
Recording from the human brain at the spatiotemporal resolution of action potentials provides critical insight into mechanisms of higher cognitive functions and neuropsychiatric disease that is challenging to derive from animal models. Here, organic materials and conformable electronics are employed to create an integrated neural interface device compatible with minimally invasive neurosurgical procedures and geared toward chronic implantation on the surface of the human brain. Data generated with these devices enable identification and characterization of individual, spatially distribute human cortical neurons in the absence of any tissue penetration (n = 229 single units). Putative single-units are effectively clustered, and found to possess features characteristic of pyramidal cells and interneurons, as well as identifiable microcircuit interactions. Human neurons exhibit consistent phase modulation by oscillatory activity and a variety of population coupling responses. The parameters are furthermore established to optimize the yield and quality of single-unit activity from the cortical surface, enhancing the ability to investigate human neural network mechanisms without breaching the tissue interface and increasing the information that can be safely derived from neurophysiological monitoring.
Collapse
Affiliation(s)
- Ahnaf Rashik Hassan
- Institute for Genomic MedicineColumbia University Irving Medical CenterNew YorkNY10032USA
- Department of Biomedical EngineeringColumbia UniversityNew YorkNY10027USA
| | - Zifang Zhao
- Department of Electrical EngineeringColumbia UniversityNew YorkNY10027USA
| | - Jose J. Ferrero
- Institute for Genomic MedicineColumbia University Irving Medical CenterNew YorkNY10032USA
| | - Claudia Cea
- Department of Electrical EngineeringColumbia UniversityNew YorkNY10027USA
| | | | - John Myers
- Department of NeurosurgeryBaylor College of MedicineHoustonTX77030USA
| | - Priscella Asman
- Department of Biomedical EngineeringUniversity of HoustonHoustonTX77004USA
| | - Nuri Firat Ince
- Department of Biomedical EngineeringUniversity of HoustonHoustonTX77004USA
| | - Guy McKhann
- Department of NeurosurgeryColumbia University Irving Medical Center and New York Presbyterian HospitalNew YorkNY10032USA
| | | | - Sameer A. Sheth
- Department of NeurosurgeryBaylor College of MedicineHoustonTX77030USA
| | - Dion Khodagholy
- Department of Electrical EngineeringColumbia UniversityNew YorkNY10027USA
| | - Jennifer N. Gelinas
- Institute for Genomic MedicineColumbia University Irving Medical CenterNew YorkNY10032USA
- Department of NeurologyColumbia University Irving Medical Center and New York Presbyterian HospitalNew YorkNY10032USA
| |
Collapse
|
11
|
Silverå Ejneby M, Jakešová M, Ferrero JJ, Migliaccio L, Sahalianov I, Zhao Z, Berggren M, Khodagholy D, Đerek V, Gelinas JN, Głowacki ED. Chronic electrical stimulation of peripheral nerves via deep-red light transduced by an implanted organic photocapacitor. Nat Biomed Eng 2022; 6:741-753. [PMID: 34916610 DOI: 10.1038/s41551-021-00817-7] [Citation(s) in RCA: 37] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Accepted: 07/28/2021] [Indexed: 11/09/2022]
Abstract
Implantable devices for the wireless modulation of neural tissue need to be designed for reliability, safety and reduced invasiveness. Here we report chronic electrical stimulation of the sciatic nerve in rats by an implanted organic electrolytic photocapacitor that transduces deep-red light into electrical signals. The photocapacitor relies on commercially available semiconducting non-toxic pigments and is integrated in a conformable 0.1-mm3 thin-film cuff. In freely moving rats, fixation of the cuff around the sciatic nerve, 10 mm below the surface of the skin, allowed stimulation (via 50-1,000-μs pulses of deep-red light at wavelengths of 638 nm or 660 nm) of the nerve for over 100 days. The robustness, biocompatibility, low volume and high-performance characteristics of organic electrolytic photocapacitors may facilitate the wireless chronic stimulation of peripheral nerves.
Collapse
Affiliation(s)
- Malin Silverå Ejneby
- Laboratory of Organic Electronics, Campus Norrköping, Linköping University, Norrköping, Sweden.,Wallenberg Centre for Molecular Medicine, Linköping University, Linköping, Sweden
| | - Marie Jakešová
- Laboratory of Organic Electronics, Campus Norrköping, Linköping University, Norrköping, Sweden.,Central European Institute of Technology, Brno University of Technology, Brno, Czech Republic
| | - Jose J Ferrero
- Institute for Genomic Medicine, Columbia University Medical Center, New York, NY, USA
| | - Ludovico Migliaccio
- Laboratory of Organic Electronics, Campus Norrköping, Linköping University, Norrköping, Sweden.,Wallenberg Centre for Molecular Medicine, Linköping University, Linköping, Sweden.,Central European Institute of Technology, Brno University of Technology, Brno, Czech Republic
| | - Ihor Sahalianov
- Laboratory of Organic Electronics, Campus Norrköping, Linköping University, Norrköping, Sweden
| | - Zifang Zhao
- Department of Electrical Engineering, Columbia University, New York, NY, USA
| | - Magnus Berggren
- Laboratory of Organic Electronics, Campus Norrköping, Linköping University, Norrköping, Sweden
| | - Dion Khodagholy
- Department of Electrical Engineering, Columbia University, New York, NY, USA
| | - Vedran Đerek
- Laboratory of Organic Electronics, Campus Norrköping, Linköping University, Norrköping, Sweden. .,Wallenberg Centre for Molecular Medicine, Linköping University, Linköping, Sweden. .,Department of Physics, Faculty of Science, University of Zagreb, Zagreb, Croatia.
| | - Jennifer N Gelinas
- Institute for Genomic Medicine, Columbia University Medical Center, New York, NY, USA. .,Department of Neurology, Columbia University Medical Center, New York, NY, USA.
| | - Eric Daniel Głowacki
- Laboratory of Organic Electronics, Campus Norrköping, Linköping University, Norrköping, Sweden. .,Wallenberg Centre for Molecular Medicine, Linköping University, Linköping, Sweden. .,Central European Institute of Technology, Brno University of Technology, Brno, Czech Republic.
| |
Collapse
|
12
|
Zhao Z, Spyropoulos GD, Cea C, Gelinas JN, Khodagholy D. Ionic communication for implantable bioelectronics. Sci Adv 2022; 8:eabm7851. [PMID: 35385298 PMCID: PMC8985921 DOI: 10.1126/sciadv.abm7851] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Accepted: 02/14/2022] [Indexed: 05/22/2023]
Abstract
Implanted bioelectronic devices require data transmission through tissue, but ionic conductivity and inhomogeneity of this medium complicate conventional communication approaches. Here, we introduce ionic communication (IC) that uses ions to effectively propagate megahertz-range signals. We demonstrate that IC operates by generating and sensing electrical potential energy within polarizable media. IC was tuned to transmit across a range of biologically relevant tissue depths. The radius of propagation was controlled to enable multiline parallel communication, and it did not interfere with concurrent use of other bioelectronics. We created a fully implantable IC-based neural interface device that acquired and noninvasively transmitted neurophysiologic data from freely moving rodents over a period of weeks with stability sufficient for isolation of action potentials from individual neurons. IC is a biologically based data communication that establishes long-term, high-fidelity interactions across intact tissue.
Collapse
Affiliation(s)
- Zifang Zhao
- Department of Electrical Engineering, Columbia University, New York, NY 10027, USA
| | | | - Claudia Cea
- Department of Electrical Engineering, Columbia University, New York, NY 10027, USA
| | - Jennifer N. Gelinas
- Department of Neurology, Columbia University Medical Center, New York, NY 10032, USA
- Institute for Genomic Medicine, Columbia University Medical Center, New York, NY 10032, USA
| | - Dion Khodagholy
- Department of Electrical Engineering, Columbia University, New York, NY 10027, USA
| |
Collapse
|
13
|
Yao DR, Yu H, Rauhala OJ, Cea C, Zhao Z, Gelinas JN, Khodagholy D. Anisotropic Ion Conducting Particulate Composites for Bioelectronics. Adv Sci (Weinh) 2022; 9:e2104404. [PMID: 35083889 PMCID: PMC8948554 DOI: 10.1002/advs.202104404] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Revised: 12/07/2021] [Indexed: 06/14/2023]
Abstract
Acquisition, processing, and manipulation of biological signals require transistor circuits capable of ion to electron conversion. However, use of this class of transistors in integrated sensors or circuits is limited due to difficulty in patterning biocompatible electrolytes for independent operation of transistors. It is hypothesized that it would be possible to eliminate the need for electrolyte patterning by enabling directional ion conduction as a property of the material serving as electrolyte. Here, the anisotropic ion conductor (AIC) is developed as a soft, biocompatible composite material comprised of ion-conducting particles and an insulating polymer. AIC displays strongly anisotropic ion conduction with vertical conduction comparable to isotropic electrolytes over extended time periods. AIC allows effective hydration of conducting polymers to establish volumetric capacitance, which is critical for the operation of electrochemical transistors. AIC enables dense patterning of transistors with minimal leakage using simple solution-based deposition techniques. Lastly, AIC can be utilized as a dry, anisotropic interface with human skin that is capable of non-invasive acquisition of individual motor action potentials. The properties of AIC position it to enable implementation of a wide range of large-scale organic bioelectronics and enhance their translation to human health applications.
Collapse
Affiliation(s)
- Dickson R. Yao
- Department of Electrical EngineeringColumbia UniversityNew YorkNY10027USA
| | - Han Yu
- Department of Electrical EngineeringColumbia UniversityNew YorkNY10027USA
| | - Onni J. Rauhala
- Department of Electrical EngineeringColumbia UniversityNew YorkNY10027USA
| | - Claudia Cea
- Department of Electrical EngineeringColumbia UniversityNew YorkNY10027USA
| | - Zifang Zhao
- Department of Electrical EngineeringColumbia UniversityNew YorkNY10027USA
| | - Jennifer N. Gelinas
- Department of NeurologyColumbia University Medical CenterNew YorkNY10032USA
- Institute for Genomic MedicineColumbia University Medical CenterNew YorkNY10032USA
| | - Dion Khodagholy
- Department of Electrical EngineeringColumbia UniversityNew YorkNY10027USA
| |
Collapse
|
14
|
Zokaei S, Craighero M, Cea C, Kneissl LM, Kroon R, Khodagholy D, Lund A, Müller C. Electrically Conducting Elastomeric Fibers with High Stretchability and Stability. Small 2022; 18:e2102813. [PMID: 34816573 DOI: 10.1002/smll.202102813] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Revised: 08/24/2021] [Indexed: 06/13/2023]
Abstract
Stretchable conducting materials are appealing for the design of unobtrusive wearable electronic devices. Conjugated polymers with oligoethylene glycol side chains are excellent candidate materials owing to their low elastic modulus and good compatibility with polar stretchable polymers. Here, electrically conducting elastomeric blend fibers with high stretchability, wet spun from a blend of a doped polar polythiophene with tetraethylene glycol side chains and a polyurethane are reported. The wet-spinning process is versatile, reproducible, scalable, and produces continuous filaments with a diameter ranging from 30 to 70 µm. The fibers are stretchable up to 480% even after chemical doping with iron(III) p-toluenesulfonate hexahydrate and exhibit an electrical conductivity of up to 7.4 S cm-1 , which represents a record combination of properties for conjugated polymer-based fibers. The fibers remain conductive during elongation until fiber fracture and display excellent long-term stability at ambient conditions. Cyclic stretching up to 50% strain for at least 400 strain cycles reveals that the doped fibers exhibit high cyclic stability and retain their electrical conductivity. Finally, a directional strain sensing device, which makes use of the linear increase in resistance of the fibers up to 120% strain is demonstrated.
Collapse
Affiliation(s)
- Sepideh Zokaei
- Department of Chemistry and Chemical Engineering, Chalmers University of Technology, Göteborg, 41296, Sweden
| | - Mariavittoria Craighero
- Department of Chemistry and Chemical Engineering, Chalmers University of Technology, Göteborg, 41296, Sweden
| | - Claudia Cea
- Department of Electrical Engineering, School of Engineering and Applied Science, Columbia University, New York, NY, 10027, USA
| | - Lucas M Kneissl
- Department of Chemistry and Chemical Engineering, Chalmers University of Technology, Göteborg, 41296, Sweden
| | - Renee Kroon
- Department of Chemistry and Chemical Engineering, Chalmers University of Technology, Göteborg, 41296, Sweden
| | - Dion Khodagholy
- Department of Electrical Engineering, School of Engineering and Applied Science, Columbia University, New York, NY, 10027, USA
| | - Anja Lund
- Department of Chemistry and Chemical Engineering, Chalmers University of Technology, Göteborg, 41296, Sweden
| | - Christian Müller
- Department of Chemistry and Chemical Engineering, Chalmers University of Technology, Göteborg, 41296, Sweden
| |
Collapse
|
15
|
Domínguez S, Ma L, Yu H, Pouchelon G, Mayer C, Spyropoulos GD, Cea C, Buzsáki G, Fishell G, Khodagholy D, Gelinas JN. A transient postnatal quiescent period precedes emergence of mature cortical dynamics. eLife 2021; 10:69011. [PMID: 34296997 PMCID: PMC8357419 DOI: 10.7554/elife.69011] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 06/26/2021] [Indexed: 01/25/2023] Open
Abstract
Mature neural networks synchronize and integrate spatiotemporal activity patterns to support cognition. Emergence of these activity patterns and functions is believed to be developmentally regulated, but the postnatal time course for neural networks to perform complex computations remains unknown. We investigate the progression of large-scale synaptic and cellular activity patterns across development using high spatiotemporal resolution in vivo electrophysiology in immature mice. We reveal that mature cortical processes emerge rapidly and simultaneously after a discrete but volatile transition period at the beginning of the second postnatal week of rodent development. The transition is characterized by relative neural quiescence, after which spatially distributed, temporally precise, and internally organized activity occurs. We demonstrate a similar developmental trajectory in humans, suggesting an evolutionarily conserved mechanism that could facilitate a transition in network operation. We hypothesize that this transient quiescent period is a requisite for the subsequent emergence of coordinated cortical networks. It can take several months, or even years, for the brain of a young animal to develop and refine the complex neural networks which underpin cognitive abilities such as memory, planning, and decision making. While the properties that support these functions have been well-documented, less is known about how they emerge during development. Domínguez, Ma, Yu et al. therefore set out to determine when exactly these properties began to take shape in mice, using lightweight nets of electrodes to record brain activity in sleeping newborn pups. The nets were designed to avoid disturbing the animals or damaging their fragile brains. The recordings showed that patterns of brain activity similar to those seen in adults emerged during the first couple of weeks after birth. Just before, however, the brains of the pups went through a brief period of reduced activity: this lull seemed to mark a transition from an immature to a more mature mode of operation. After this pause, neurons in the mouse brains showed coordinated patterns of firing reminiscent of those seen in adults. By monitoring the brains of human babies using scalp sensors, Domínguez, Ma, Yu et al. showed that a similar transition also occurs in infants during their first few months of life, suggesting that brains may mature via a process retained across species. Overall, the relative lull in activity before transition may mark when neural networks gain mature properties; in the future, it could therefore potentially be used to diagnose and monitor individuals with delayed cognitive development.
Collapse
Affiliation(s)
- Soledad Domínguez
- Institute for Genomic Medicine, Columbia University Medical Center, New York, United States
| | - Liang Ma
- Institute for Genomic Medicine, Columbia University Medical Center, New York, United States.,Department of Biomedical Engineering, Columbia University, New York, United States
| | - Han Yu
- Department of Electrical Engineering, Columbia University, New York, United States
| | | | | | - George D Spyropoulos
- Department of Electrical Engineering, Columbia University, New York, United States
| | - Claudia Cea
- Department of Electrical Engineering, Columbia University, New York, United States
| | - György Buzsáki
- Neuroscience Institute and Department of Neurology New York University Langone Medical Center, New York, United States.,Center for Neural Science, New York University, New York, United States
| | - Gordon Fishell
- The Stanley Center at the Broad, Cambridge, United States.,Department of Neurobiology, Harvard Medical School, Boston, United States
| | - Dion Khodagholy
- Department of Electrical Engineering, Columbia University, New York, United States
| | - Jennifer N Gelinas
- Institute for Genomic Medicine, Columbia University Medical Center, New York, United States.,Department of Biomedical Engineering, Columbia University, New York, United States.,Department of Neurology, Columbia University Medical Center, New York, United States
| |
Collapse
|
16
|
Shore AN, Colombo S, Tobin WF, Petri S, Cullen ER, Dominguez S, Bostick CD, Beaumont MA, Williams D, Khodagholy D, Yang M, Lutz CM, Peng Y, Gelinas JN, Goldstein DB, Boland MJ, Frankel WN, Weston MC. Reduced GABAergic Neuron Excitability, Altered Synaptic Connectivity, and Seizures in a KCNT1 Gain-of-Function Mouse Model of Childhood Epilepsy. Cell Rep 2020; 33:108303. [PMID: 33113364 PMCID: PMC7712469 DOI: 10.1016/j.celrep.2020.108303] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Revised: 08/06/2020] [Accepted: 10/01/2020] [Indexed: 01/07/2023] Open
Abstract
Gain-of-function (GOF) variants in K+ channels cause severe childhood epilepsies, but there are no mechanisms to explain how increased K+ currents lead to network hyperexcitability. Here, we introduce a human Na+-activated K+ (KNa) channel variant (KCNT1-Y796H) into mice and, using a multiplatform approach, find motor cortex hyperexcitability and early-onset seizures, phenotypes strikingly similar to those of human patients. Although the variant increases KNa currents in cortical excitatory and inhibitory neurons, there is an increase in the KNa current across subthreshold voltages only in inhibitory neurons, particularly in those with non-fast-spiking properties, resulting in inhibitory-neuron-specific impairments in excitability and action potential (AP) generation. We further observe evidence of synaptic rewiring, including increases in homotypic synaptic connectivity, accompanied by network hyperexcitability and hypersynchronicity. These findings support inhibitory-neuron-specific mechanisms in mediating the epileptogenic effects of KCNT1 channel GOF, offering cell-type-specific currents and effects as promising targets for therapeutic intervention.
Collapse
Affiliation(s)
- Amy N Shore
- Department of Neurological Sciences, University of Vermont, Burlington, VT 05405, USA
| | - Sophie Colombo
- Institute for Genomic Medicine, Columbia University, New York, NY 10032, USA
| | - William F Tobin
- Department of Neurological Sciences, University of Vermont, Burlington, VT 05405, USA
| | - Sabrina Petri
- Institute for Genomic Medicine, Columbia University, New York, NY 10032, USA
| | - Erin R Cullen
- Department of Neurological Sciences, University of Vermont, Burlington, VT 05405, USA
| | - Soledad Dominguez
- Institute for Genomic Medicine, Columbia University, New York, NY 10032, USA
| | | | - Michael A Beaumont
- Institute for Genomic Medicine, Columbia University, New York, NY 10032, USA; Axion BioSystems, Atlanta, GA 30309, USA
| | - Damian Williams
- Institute for Genomic Medicine, Columbia University, New York, NY 10032, USA
| | - Dion Khodagholy
- Department of Electrical Engineering, Columbia University, New York, NY 10032, USA
| | - Mu Yang
- Institute for Genomic Medicine, Columbia University, New York, NY 10032, USA
| | | | - Yueqing Peng
- Institute for Genomic Medicine, Columbia University, New York, NY 10032, USA; Department of Pathology and Cell Biology, Columbia University, New York, NY 10032, USA
| | - Jennifer N Gelinas
- Institute for Genomic Medicine, Columbia University, New York, NY 10032, USA; Department of Neurology, Columbia University, New York, NY 10032, USA
| | - David B Goldstein
- Institute for Genomic Medicine, Columbia University, New York, NY 10032, USA; Department of Genetics and Development, Columbia University, New York, NY 10032, USA
| | - Michael J Boland
- Institute for Genomic Medicine, Columbia University, New York, NY 10032, USA; Department of Genetics and Development, Columbia University, New York, NY 10032, USA
| | - Wayne N Frankel
- Institute for Genomic Medicine, Columbia University, New York, NY 10032, USA; Department of Neurology, Columbia University, New York, NY 10032, USA
| | - Matthew C Weston
- Department of Neurological Sciences, University of Vermont, Burlington, VT 05405, USA.
| |
Collapse
|
17
|
Cea C, Spyropoulos GD, Jastrzebska-Perfect P, Ferrero JJ, Gelinas JN, Khodagholy D. Enhancement-mode ion-based transistor as a comprehensive interface and real-time processing unit for in vivo electrophysiology. Nat Mater 2020; 19:679-686. [PMID: 32203456 DOI: 10.1038/s41563-020-0638-3] [Citation(s) in RCA: 97] [Impact Index Per Article: 24.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2019] [Accepted: 02/12/2020] [Indexed: 06/10/2023]
Abstract
Bioelectronic devices must be fast and sensitive to interact with the rapid, low-amplitude signals generated by neural tissue. They should also be biocompatible and soft, and should exhibit long-term stability in physiologic environments. Here, we develop an enhancement-mode, internal ion-gated organic electrochemical transistor (e-IGT) based on a reversible redox reaction and hydrated ion reservoirs within the conducting polymer channel, which enable long-term stable operation and shortened ion transit time. E-IGT transient responses depend on hole rather than ion mobility, and combine with high transconductance to result in a gain-bandwidth product that is several orders of magnitude above that of other ion-based transistors. We used these transistors to acquire a wide range of electrophysiological signals, including in vivo recording of neural action potentials, and to create soft, biocompatible, long-term implantable neural processing units for the real-time detection of epileptic discharges. E-IGTs offer a safe, reliable and high-performance building block for chronically implanted bioelectronics, with a spatiotemporal resolution at the scale of individual neurons.
Collapse
Affiliation(s)
- Claudia Cea
- Department of Electrical Engineering, Columbia University, New York, NY, USA
| | | | | | - José J Ferrero
- Institute for Genomic Medicine, Columbia University Medical Center, New York, NY, USA
| | - Jennifer N Gelinas
- Institute for Genomic Medicine, Columbia University Medical Center, New York, NY, USA.
- Department of Neurology, Columbia University Medical Center, New York, NY, USA.
| | - Dion Khodagholy
- Department of Electrical Engineering, Columbia University, New York, NY, USA.
| |
Collapse
|
18
|
Dahal P, Ghani N, Flinker A, Dugan P, Friedman D, Doyle W, Devinsky O, Khodagholy D, Gelinas JN. Interictal epileptiform discharges shape large-scale intercortical communication. Brain 2020; 142:3502-3513. [PMID: 31501850 PMCID: PMC6821283 DOI: 10.1093/brain/awz269] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2019] [Revised: 06/28/2019] [Accepted: 07/11/2019] [Indexed: 01/07/2023] Open
Abstract
Dynamic interactions between remote but functionally specialized brain regions enable complex information processing. This intercortical communication is disrupted in the neural networks of patients with focal epilepsy, and epileptic activity can exert widespread effects within the brain. Using large-scale human intracranial electroencephalography recordings, we show that interictal epileptiform discharges (IEDs) are significantly coupled with spindles in discrete, individualized brain regions outside of the epileptic network. We found that a substantial proportion of these localized spindles travel across the cortical surface. Brain regions that participate in this IED-driven oscillatory coupling express spindles that have a broader spatial extent and higher tendency to propagate than spindles occurring in uncoupled regions. These altered spatiotemporal oscillatory properties identify areas that are shaped by epileptic activity independent of IED or seizure detection. Our findings suggest that IED-spindle coupling may be an important mechanism of interictal global network dysfunction that could be targeted to prevent disruption of normal neural activity.
Collapse
Affiliation(s)
- Prawesh Dahal
- Department of Electrical Engineering, Columbia University, New York, NY, USA
| | - Naureen Ghani
- Institute for Genomic Medicine, Columbia University Medical Center, New York, NY, USA
| | - Adeen Flinker
- Department of Neurology, NYU Langone, New York, NY, USA.,Comprehensive Epilepsy Center, NYU Langone, New York, NY, USA
| | - Patricia Dugan
- Department of Neurology, NYU Langone, New York, NY, USA.,Comprehensive Epilepsy Center, NYU Langone, New York, NY, USA
| | - Daniel Friedman
- Department of Neurology, NYU Langone, New York, NY, USA.,Comprehensive Epilepsy Center, NYU Langone, New York, NY, USA
| | - Werner Doyle
- Comprehensive Epilepsy Center, NYU Langone, New York, NY, USA.,Department of Neurosurgery, NYU Langone, New York, NY, USA
| | - Orrin Devinsky
- Department of Neurology, NYU Langone, New York, NY, USA.,Comprehensive Epilepsy Center, NYU Langone, New York, NY, USA
| | - Dion Khodagholy
- Department of Electrical Engineering, Columbia University, New York, NY, USA
| | - Jennifer N Gelinas
- Institute for Genomic Medicine, Columbia University Medical Center, New York, NY, USA.,Department of Neurology, Columbia University Medical Center, New York, NY, USA
| |
Collapse
|
19
|
Dahal P, Ghani N, Flinker A, Dugan P, Friedman D, Doyle W, Devinsky O, Khodagholy D, Gelinas JN. Reply: Interactions of interictal epileptic discharges with sleep slow waves and spindles. Brain 2020; 143:e28. [DOI: 10.1093/brain/awaa042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- Prawesh Dahal
- Department of Electrical Engineering, Columbia University, New York, NY, 10027, USA
| | - Naureen Ghani
- Institute for Genomic Medicine, Columbia University Medical Center, New York, NY, 10032, USA
| | - Adeen Flinker
- Department of Neurology, NYU Langone, New York, NY, 10016, USA
- Comprehensive Epilepsy Center, NYU Langone, New York, NY, 10016, USA
| | - Patricia Dugan
- Department of Neurology, NYU Langone, New York, NY, 10016, USA
- Comprehensive Epilepsy Center, NYU Langone, New York, NY, 10016, USA
| | - Daniel Friedman
- Department of Neurology, NYU Langone, New York, NY, 10016, USA
- Comprehensive Epilepsy Center, NYU Langone, New York, NY, 10016, USA
| | - Werner Doyle
- Comprehensive Epilepsy Center, NYU Langone, New York, NY, 10016, USA
- Department of Neurosurgery, NYU Langone, New York, NY, 10016, USA
| | - Orrin Devinsky
- Department of Neurology, NYU Langone, New York, NY, 10016, USA
- Comprehensive Epilepsy Center, NYU Langone, New York, NY, 10016, USA
| | - Dion Khodagholy
- Department of Electrical Engineering, Columbia University, New York, NY, 10027, USA
| | - Jennifer N Gelinas
- Institute for Genomic Medicine, Columbia University Medical Center, New York, NY, 10032, USA
- Department of Neurology, Columbia University Medical Center, New York, NY, 10032, USA
| |
Collapse
|
20
|
Jastrzebska-Perfect P, Spyropoulos GD, Cea C, Zhao Z, Rauhala OJ, Viswanathan A, Sheth SA, Gelinas JN, Khodagholy D. Mixed-conducting particulate composites for soft electronics. Sci Adv 2020; 6:eaaz6767. [PMID: 32494646 PMCID: PMC7182411 DOI: 10.1126/sciadv.aaz6767] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/29/2019] [Accepted: 01/27/2020] [Indexed: 05/29/2023]
Abstract
Bioelectronic devices should optimally merge a soft, biocompatible tissue interface with capacity for local, advanced signal processing. Here, we introduce an organic mixed-conducting particulate composite material (MCP) that can form functional electronic components by varying particle size and density. We created MCP-based high-performance anisotropic films, independently addressable transistors, resistors, and diodes that are pattern free, scalable, and biocompatible. MCP enabled facile and effective electronic bonding between soft and rigid electronics, permitting recording of neurophysiological data at the resolution of individual neurons from freely moving rodents and from the surface of the human brain through a small opening in the skull. We also noninvasively acquired high-spatiotemporal resolution electrophysiological signals by directly interfacing MCP with human skin. MCP provides a single-material solution to facilitate development of bioelectronic devices that can safely acquire, transmit, and process complex biological signals.
Collapse
Affiliation(s)
| | | | - Claudia Cea
- Department of Electrical Engineering, Columbia University, New York, NY 10027, USA
| | - Zifang Zhao
- Department of Electrical Engineering, Columbia University, New York, NY 10027, USA
| | - Onni J. Rauhala
- Department of Electrical Engineering, Columbia University, New York, NY 10027, USA
| | - Ashwin Viswanathan
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX 77030, USA
| | - Sameer A. Sheth
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX 77030, USA
| | - Jennifer N. Gelinas
- Department of Neurology, Columbia University Medical Center, New York, NY 10032, USA
- Institute for Genomic Medicine, Columbia University Medical Center, New York, NY 10032, USA
| | - Dion Khodagholy
- Department of Electrical Engineering, Columbia University, New York, NY 10027, USA
| |
Collapse
|
21
|
Spyropoulos GD, Gelinas JN, Khodagholy D. Internal ion-gated organic electrochemical transistor: A building block for integrated bioelectronics. Sci Adv 2019; 5:eaau7378. [PMID: 30820453 PMCID: PMC6392764 DOI: 10.1126/sciadv.aau7378] [Citation(s) in RCA: 106] [Impact Index Per Article: 21.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2018] [Accepted: 01/09/2019] [Indexed: 05/23/2023]
Abstract
Real-time processing and manipulation of biological signals require bioelectronic devices with integrated components capable of signal amplification, processing, and stimulation. Transistors form the backbone of such circuits, but numerous criteria must be met for efficient and safe operation in biological environments. Here, we introduce an internal ion-gated organic electrochemical transistor (IGT) that uses contained mobile ions within the conducting polymer channel to permit both volumetric capacitance and shortened ionic transit time. The IGT has high transconductance, fast speed, and can be independently gated to create scalable conformable integrated circuits. We demonstrate the ability of the IGT to provide a miniaturized, comfortable interface with human skin using local amplification to record high-quality brain neurophysiological activity. The IGT is an effective transistor architecture for enabling integrated, real-time sensing and stimulation of signals from living organisms.
Collapse
Affiliation(s)
| | - Jennifer N. Gelinas
- Department of Neurology, Columbia University Medical Center, New York, NY 10032, USA
- Institute for Genomic Medicine, Columbia University Medical Center, 630 West 168th Street, New York, NY 10032, USA
| | - Dion Khodagholy
- Department of Electrical Engineering, Columbia University, New York, NY 10027, USA
| |
Collapse
|
22
|
Tybrandt K, Khodagholy D, Dielacher B, Stauffer F, Renz AF, Buzsáki G, Vörös J. High-Density Stretchable Electrode Grids for Chronic Neural Recording. Adv Mater 2018; 30:e1706520. [PMID: 29488263 PMCID: PMC5948103 DOI: 10.1002/adma.201706520] [Citation(s) in RCA: 115] [Impact Index Per Article: 19.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/08/2017] [Revised: 01/19/2018] [Indexed: 05/18/2023]
Abstract
Electrical interfacing with neural tissue is key to advancing diagnosis and therapies for neurological disorders, as well as providing detailed information about neural signals. A challenge for creating long-term stable interfaces between electronics and neural tissue is the huge mechanical mismatch between the systems. So far, materials and fabrication processes have restricted the development of soft electrode grids able to combine high performance, long-term stability, and high electrode density, aspects all essential for neural interfacing. Here, this challenge is addressed by developing a soft, high-density, stretchable electrode grid based on an inert, high-performance composite material comprising gold-coated titanium dioxide nanowires embedded in a silicone matrix. The developed grid can resolve high spatiotemporal neural signals from the surface of the cortex in freely moving rats with stable neural recording quality and preserved electrode signal coherence during 3 months of implantation. Due to its flexible and stretchable nature, it is possible to minimize the size of the craniotomy required for placement, further reducing the level of invasiveness. The material and device technology presented herein have potential for a wide range of emerging biomedical applications.
Collapse
Affiliation(s)
- Klas Tybrandt
- Institute for Biomedical Engineering, ETH Zurich, 8092 Zurich, Switzerland
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, 601 74 Norrköping, Sweden
| | - Dion Khodagholy
- Department of Electrical Engineering, Columbia University, New York, NY 10027, USA
- NYU Neuroscience Institute, School of Medicine, New York University, New York, NY 10016, USA
| | - Bernd Dielacher
- Institute for Biomedical Engineering, ETH Zurich, 8092 Zurich, Switzerland
| | - Flurin Stauffer
- Institute for Biomedical Engineering, ETH Zurich, 8092 Zurich, Switzerland
| | - Aline F. Renz
- Institute for Biomedical Engineering, ETH Zurich, 8092 Zurich, Switzerland
| | - György Buzsáki
- NYU Neuroscience Institute, School of Medicine, New York University, New York, NY 10016, USA
| | - János Vörös
- Institute for Biomedical Engineering, ETH Zurich, 8092 Zurich, Switzerland
| |
Collapse
|
23
|
Khodagholy D, Gelinas JN, Buzsáki G. Learning-enhanced coupling between ripple oscillations in association cortices and hippocampus. Science 2018; 358:369-372. [PMID: 29051381 DOI: 10.1126/science.aan6203] [Citation(s) in RCA: 207] [Impact Index Per Article: 34.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2017] [Accepted: 09/06/2017] [Indexed: 01/04/2023]
Abstract
Consolidation of declarative memories requires hippocampal-neocortical communication. Although experimental evidence supports the role of sharp-wave ripples in transferring hippocampal information to the neocortex, the exact cortical destinations and the physiological mechanisms of such transfer are not known. We used a conducting polymer-based conformable microelectrode array (NeuroGrid) to record local field potentials and neural spiking across the dorsal cortical surface of the rat brain, combined with silicon probe recordings in the hippocampus, to identify candidate physiological patterns. Parietal, midline, and prefrontal, but not primary cortical areas, displayed localized ripple (100 to 150 hertz) oscillations during sleep, concurrent with hippocampal ripples. Coupling between hippocampal and neocortical ripples was strengthened during sleep following learning. These findings suggest that ripple-ripple coupling supports hippocampal-association cortical transfer of memory traces.
Collapse
Affiliation(s)
- Dion Khodagholy
- NYU Neuroscience Institute, School of Medicine, New York University, New York, NY 10016, USA.,Department of Electrical Engineering, Columbia University, New York, NY 10027, USA
| | - Jennifer N Gelinas
- NYU Neuroscience Institute, School of Medicine, New York University, New York, NY 10016, USA.,Department of Neurology, Columbia University Medical Center, New York, NY 10032, USA.,Institute for Genomic Medicine, Columbia University Medical Center, New York, NY 10032, USA
| | - György Buzsáki
- NYU Neuroscience Institute, School of Medicine, New York University, New York, NY 10016, USA
| |
Collapse
|
24
|
Uguz I, Proctor CM, Curto VF, Pappa AM, Donahue MJ, Ferro M, Owens RM, Khodagholy D, Inal S, Malliaras GG. A Microfluidic Ion Pump for In Vivo Drug Delivery. Adv Mater 2017; 29:1701217. [PMID: 28503731 DOI: 10.1002/adma.201701217] [Citation(s) in RCA: 51] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2017] [Revised: 03/25/2017] [Indexed: 06/07/2023]
Abstract
Implantable devices offer an alternative to systemic delivery of drugs for the treatment of neurological disorders. A microfluidic ion pump (µFIP), capable of delivering a drug without the solvent through electrophoresis, is developed. The device is characterized in vitro by delivering γ-amino butyric acid to a target solution, and demonstrates low-voltage operation, high drug-delivery capacity, and high ON/OFF ratio. It is also demonstrated that the device is suitable for cortical delivery in vivo by manipulating the local ion concentration in an animal model and altering neural behavior. These results show that µFIPs represent a significant step forward toward the development of implantable drug-delivery systems.
Collapse
Affiliation(s)
- Ilke Uguz
- Department of Bioelectronics, Ecole Nationale Supérieure des Mines, CMP-EMSE, MOC, 13541, Gardanne, France
| | - Christopher M Proctor
- Department of Bioelectronics, Ecole Nationale Supérieure des Mines, CMP-EMSE, MOC, 13541, Gardanne, France
| | - Vincenzo F Curto
- Department of Bioelectronics, Ecole Nationale Supérieure des Mines, CMP-EMSE, MOC, 13541, Gardanne, France
| | - Anna-Maria Pappa
- Department of Bioelectronics, Ecole Nationale Supérieure des Mines, CMP-EMSE, MOC, 13541, Gardanne, France
| | - Mary J Donahue
- Department of Bioelectronics, Ecole Nationale Supérieure des Mines, CMP-EMSE, MOC, 13541, Gardanne, France
| | - Magali Ferro
- Department of Bioelectronics, Ecole Nationale Supérieure des Mines, CMP-EMSE, MOC, 13541, Gardanne, France
| | - Róisín M Owens
- Department of Bioelectronics, Ecole Nationale Supérieure des Mines, CMP-EMSE, MOC, 13541, Gardanne, France
| | - Dion Khodagholy
- Department of Electrical Engineering, Columbia University, NY, 10027, USA
| | - Sahika Inal
- Biological and Environmental Science and Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Kingdom of Saudi Arabia
| | - George G Malliaras
- Department of Bioelectronics, Ecole Nationale Supérieure des Mines, CMP-EMSE, MOC, 13541, Gardanne, France
| |
Collapse
|
25
|
Khodagholy D, Gelinas JN, Zhao Z, Yeh M, Long M, Greenlee JD, Doyle W, Devinsky O, Buzsáki G. Organic electronics for high-resolution electrocorticography of the human brain. Sci Adv 2016; 2:e1601027. [PMID: 28861464 PMCID: PMC5569954 DOI: 10.1126/sciadv.1601027] [Citation(s) in RCA: 83] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/07/2016] [Accepted: 10/07/2016] [Indexed: 05/18/2023]
Abstract
Localizing neuronal patterns that generate pathological brain signals may assist with tissue resection and intervention strategies in patients with neurological diseases. Precise localization requires high spatiotemporal recording from populations of neurons while minimizing invasiveness and adverse events. We describe a large-scale, high-density, organic material-based, conformable neural interface device ("NeuroGrid") capable of simultaneously recording local field potentials (LFPs) and action potentials from the cortical surface. We demonstrate the feasibility and safety of intraoperative recording with NeuroGrids in anesthetized and awake subjects. Highly localized and propagating physiological and pathological LFP patterns were recorded, and correlated neural firing provided evidence about their local generation. Application of NeuroGrids to brain disorders, such as epilepsy, may improve diagnostic precision and therapeutic outcomes while reducing complications associated with invasive electrodes conventionally used to acquire high-resolution and spiking data.
Collapse
Affiliation(s)
- Dion Khodagholy
- NYU Neuroscience Institute, School of Medicine, New York University, New York, NY 10016, USA
| | - Jennifer N. Gelinas
- NYU Neuroscience Institute, School of Medicine, New York University, New York, NY 10016, USA
| | - Zifang Zhao
- NYU Neuroscience Institute, School of Medicine, New York University, New York, NY 10016, USA
- Neuroscience Research Institute, Peking University, Xueyuan Road, Haidian District, Beijing 10083, China
| | - Malcolm Yeh
- Department of Neurology, University of Iowa Hospitals and Clinics, Iowa City, IA 52242, USA
| | - Michael Long
- NYU Neuroscience Institute, School of Medicine, New York University, New York, NY 10016, USA
| | - Jeremy D. Greenlee
- Department of Neurosurgery, Human Brain Research Laboratory, University of Iowa Hospitals and Clinics, Iowa City, IA 52242, USA
| | - Werner Doyle
- Department of Neurosurgery, New York University Langone Medical Center, New York, NY 10016, USA
| | - Orrin Devinsky
- Department of Neurology, Comprehensive Epilepsy Center, New York University, New York, NY 10016, USA
| | - György Buzsáki
- NYU Neuroscience Institute, School of Medicine, New York University, New York, NY 10016, USA
| |
Collapse
|
26
|
Gelinas JN, Khodagholy D, Thesen T, Devinsky O, Buzsáki G. Interictal epileptiform discharges induce hippocampal-cortical coupling in temporal lobe epilepsy. Nat Med 2016; 22:641-8. [PMID: 27111281 PMCID: PMC4899094 DOI: 10.1038/nm.4084] [Citation(s) in RCA: 170] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2015] [Accepted: 03/14/2016] [Indexed: 12/15/2022]
Abstract
Interactions between the hippocampus and cortex are critical for memory. Interictal epileptiform discharges (IEDs) identify epileptic brain regions and can impair memory, but how they interact with physiological patterns of network activity is mostly undefined. We show in a rat model of temporal lobe epilepsy that spontaneous hippocampal IEDs correlate with impaired memory consolidation and are precisely coordinated with spindle oscillations in the prefrontal cortex during NREM sleep. This coordination surpasses the normal physiological ripple-spindle coupling and is accompanied by decreased ripple occurrence. IEDs also induce spindles during REM sleep and wakefulness, behavioral states that do not naturally express these oscillations, by generating a cortical ‘DOWN’ state. We confirm a similar correlation of temporofrontal IEDs with spindles over anatomically restricted cortical regions in a pilot clinical examination of four subjects with focal epilepsy. These findings imply that IEDs may impair memory via misappropriation of physiological mechanisms for hippocampal-cortical coupling, suggesting a target to treat memory impairment in epilepsy.
Collapse
Affiliation(s)
- Jennifer N Gelinas
- The Neuroscience Institute, New York University, School of Medicine, New York, New York, USA
| | - Dion Khodagholy
- The Neuroscience Institute, New York University, School of Medicine, New York, New York, USA
| | - Thomas Thesen
- Department of Neurology, Comprehensive Epilepsy Center, New York University, School of Medicine, New York, New York, USA
| | - Orrin Devinsky
- Department of Neurology, Comprehensive Epilepsy Center, New York University, School of Medicine, New York, New York, USA
| | - György Buzsáki
- The Neuroscience Institute, New York University, School of Medicine, New York, New York, USA.,Center for Neural Science, New York University, School of Medicine, New York, New York, USA
| |
Collapse
|
27
|
Khodagholy D, Malliaras GG. [Single neurons recording with non invasive microelectrodes]. Med Sci (Paris) 2015; 31:609-12. [PMID: 26152163 DOI: 10.1051/medsci/20153106012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Affiliation(s)
- Dion Khodagholy
- NYU neuroscience institute, school of medicine, New York university, New York, États-Unis
| | - George G Malliaras
- Département de bioélectronique, centre microélectronique de Provence, École Nationale Supérieure des Mines de Saint-Étienne, 880, route de Mimet, 13541 Gardanne, France
| |
Collapse
|
28
|
Abstract
To understand how function arises from the interactions between neurons, it is necessary to use methods that allow the monitoring of brain activity at the single-neuron, single-spike level and the targeted manipulation of the diverse neuron types selectively in a closed-loop manner. Large-scale recordings of neuronal spiking combined with optogenetic perturbation of identified individual neurons has emerged as a suitable method for such tasks in behaving animals. To fully exploit the potential power of these methods, multiple steps of technical innovation are needed. We highlight the current state of the art in electrophysiological recording methods, combined with optogenetics, and discuss directions for progress. In addition, we point to areas where rapid development is in progress and discuss topics where near-term improvements are possible and needed.
Collapse
Affiliation(s)
- György Buzsáki
- The Neuroscience Institute, New York University, School of Medicine, New York, NY 10016, USA; Center for Neural Science, New York University, School of Medicine, New York, NY 10016, USA.
| | - Eran Stark
- The Neuroscience Institute, New York University, School of Medicine, New York, NY 10016, USA
| | - Antal Berényi
- The Neuroscience Institute, New York University, School of Medicine, New York, NY 10016, USA; MTA-SZTE "Lendület" Oscillatory Neural Networks Research Group, University of Szeged, Department of Physiology, Szeged H-6720, Hungary
| | - Dion Khodagholy
- The Neuroscience Institute, New York University, School of Medicine, New York, NY 10016, USA
| | - Daryl R Kipke
- NeuroNexus Technologies, Inc., Ann Arbor, MI 48108, USA
| | - Euisik Yoon
- Center for Wireless Integrated Microsensing and Systems, The University of Michigan, Ann Arbor, MI 48109-2122, USA
| | - Kensall D Wise
- Center for Wireless Integrated Microsensing and Systems, The University of Michigan, Ann Arbor, MI 48109-2122, USA
| |
Collapse
|
29
|
Rivnay J, Leleux P, Ferro M, Sessolo M, Williamson A, Koutsouras DA, Khodagholy D, Ramuz M, Strakosas X, Owens RM, Benar C, Badier JM, Bernard C, Malliaras GG. High-performance transistors for bioelectronics through tuning of channel thickness. Sci Adv 2015; 1:e1400251. [PMID: 26601178 PMCID: PMC4640642 DOI: 10.1126/sciadv.1400251] [Citation(s) in RCA: 247] [Impact Index Per Article: 27.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2014] [Accepted: 04/02/2015] [Indexed: 05/20/2023]
Abstract
Despite recent interest in organic electrochemical transistors (OECTs), sparked by their straightforward fabrication and high performance, the fundamental mechanism behind their operation remains largely unexplored. OECTs use an electrolyte in direct contact with a polymer channel as part of their device structure. Hence, they offer facile integration with biological milieux and are currently used as amplifying transducers for bioelectronics. Ion exchange between electrolyte and channel is believed to take place in OECTs, although the extent of this process and its impact on device characteristics are still unknown. We show that the uptake of ions from an electrolyte into a film of poly(3,4-ethylenedioxythiophene) doped with polystyrene sulfonate ( PEDOT PSS) leads to a purely volumetric capacitance of 39 F/cm(3). This results in a dependence of the transconductance on channel thickness, a new degree of freedom that we exploit to demonstrate high-quality recordings of human brain rhythms. Our results bring to the forefront a transistor class in which performance can be tuned independently of device footprint and provide guidelines for the design of materials that will lead to state-of-the-art transistor performance.
Collapse
Affiliation(s)
- Jonathan Rivnay
- Department of Bioelectronics, École Nationale Supérieure des Mines, CMP-EMSE, MOC, 13541 Gardanne, France
| | - Pierre Leleux
- Department of Bioelectronics, École Nationale Supérieure des Mines, CMP-EMSE, MOC, 13541 Gardanne, France
- MicroVitae Technologies, Pôle d’Activité Y. Morandat, 1480 rue d’Arménie, 13120 Gardanne, France
| | - Marc Ferro
- Department of Bioelectronics, École Nationale Supérieure des Mines, CMP-EMSE, MOC, 13541 Gardanne, France
| | - Michele Sessolo
- Department of Bioelectronics, École Nationale Supérieure des Mines, CMP-EMSE, MOC, 13541 Gardanne, France
| | - Adam Williamson
- Aix-Marseille Université, Institut de Neurosciences des Systèmes, 13005 Marseille, France
- INSERM, UMR_S 1106, 13005 Marseille, France
| | - Dimitrios A. Koutsouras
- Department of Bioelectronics, École Nationale Supérieure des Mines, CMP-EMSE, MOC, 13541 Gardanne, France
| | - Dion Khodagholy
- Department of Bioelectronics, École Nationale Supérieure des Mines, CMP-EMSE, MOC, 13541 Gardanne, France
| | - Marc Ramuz
- Department of Bioelectronics, École Nationale Supérieure des Mines, CMP-EMSE, MOC, 13541 Gardanne, France
| | - Xenofon Strakosas
- Department of Bioelectronics, École Nationale Supérieure des Mines, CMP-EMSE, MOC, 13541 Gardanne, France
| | - Roisin M. Owens
- Department of Bioelectronics, École Nationale Supérieure des Mines, CMP-EMSE, MOC, 13541 Gardanne, France
| | - Christian Benar
- Aix-Marseille Université, Institut de Neurosciences des Systèmes, 13005 Marseille, France
- INSERM, UMR_S 1106, 13005 Marseille, France
| | - Jean-Michel Badier
- Aix-Marseille Université, Institut de Neurosciences des Systèmes, 13005 Marseille, France
- INSERM, UMR_S 1106, 13005 Marseille, France
| | - Christophe Bernard
- Aix-Marseille Université, Institut de Neurosciences des Systèmes, 13005 Marseille, France
- INSERM, UMR_S 1106, 13005 Marseille, France
| | - George G. Malliaras
- Department of Bioelectronics, École Nationale Supérieure des Mines, CMP-EMSE, MOC, 13541 Gardanne, France
| |
Collapse
|
30
|
Rivnay J, Leleux P, Sessolo M, Khodagholy D, Hervé T, Fiocchi M, Malliaras GG. Organic electrochemical transistors with maximum transconductance at zero gate bias. Adv Mater 2013; 25:7010-7014. [PMID: 24123258 DOI: 10.1002/adma.201303080] [Citation(s) in RCA: 101] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2013] [Indexed: 06/02/2023]
Abstract
By varying device geometry we have engineered organic electrochemical transistors that exhibit their maximum transconductance at zero gate bias. This enables the design of a simplified amplifying transducer, allowing for improved integration with biomedical systems where prolonged gate bias can be detrimental.
Collapse
Affiliation(s)
- Jonathan Rivnay
- Department of Bioelectronics, Ecole Nationale Supérieure des Mines, CMP-EMSE, MOC, 880 route de Mimet, 13541, Gardanne, France
| | | | | | | | | | | | | |
Collapse
|
31
|
Stavrinidou E, Leleux P, Rajaona H, Khodagholy D, Rivnay J, Lindau M, Sanaur S, Malliaras GG. Direct measurement of ion mobility in a conducting polymer. Adv Mater 2013; 25:4488-93. [PMID: 23784809 DOI: 10.1002/adma.201301240] [Citation(s) in RCA: 152] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/18/2013] [Revised: 04/24/2013] [Indexed: 05/23/2023]
Abstract
Using planar junctions between the conducting polymer PEDOT:PSS and various electrolytes, it is possible to inject common ions and directly observe their transit through the film. The 1D geometry of the experiment allows a straightforward estimate of the ion drift mobilities.
Collapse
Affiliation(s)
- Eleni Stavrinidou
- Department of Bioelectronics, Ecole Nationale Supérieure des Mines, CMP-EMSE, Gardanne, France
| | | | | | | | | | | | | | | |
Collapse
|
32
|
Sessolo M, Khodagholy D, Rivnay J, Maddalena F, Gleyzes M, Steidl E, Buisson B, Malliaras GG. Easy-to-fabricate conducting polymer microelectrode arrays. Adv Mater 2013; 25:2135-9. [PMID: 23417987 DOI: 10.1002/adma.201204322] [Citation(s) in RCA: 115] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/16/2012] [Revised: 12/27/2012] [Indexed: 05/17/2023]
Abstract
A simple and versatile fabrication process is used to define conducting polymer microelectrode arrays (MEAs), patterning at the same time the recording electrodes as well as the insulating layer. Thanks to the low impedance of poly(3,4-ethylenedioxythiophene)-poly(styrenesulfonate) (PEDOT:PSS) electrodes, these MEAs allow in vitro recording of action potentials from rat hippocampus slices.
Collapse
Affiliation(s)
- Michele Sessolo
- Department of Bioelectronics, Ecole Nationale Supérieure des Mines, CMP-EMSE, MOC, 880 route de Mimet, 13541 Gardanne, France
| | | | | | | | | | | | | | | |
Collapse
|
33
|
Jimison LH, Tria SA, Khodagholy D, Gurfinkel M, Lanzarini E, Hama A, Malliaras GG, Owens RM. Measurement of barrier tissue integrity with an organic electrochemical transistor. Adv Mater 2012; 24:5919-5923. [PMID: 22949380 DOI: 10.1002/adma.201202612] [Citation(s) in RCA: 86] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2012] [Revised: 08/04/2012] [Indexed: 06/01/2023]
Abstract
The integration of an organic electrochemical transistor with human barrier tissue cells provides a novel method for assessing toxicology of compounds in vitro. Minute variations in paracellular ionic flux induced by toxic compounds are measured in real time, with unprecedented temporal resolution and extreme sensitivity.
Collapse
Affiliation(s)
- Leslie H Jimison
- Department of Bioelectronics, Ecole Nationale Superieure des Mines, CMP-EMSE, MOC, 880 Rue de Mimet, Gardanne 13541, France
| | | | | | | | | | | | | | | |
Collapse
|
34
|
Khodagholy D, Curto VF, Fraser KJ, Gurfinkel M, Byrne R, Diamond D, Malliaras GG, Benito-Lopez F, Owens RM. Organic electrochemical transistor incorporating an ionogel as a solid state electrolyte for lactate sensing. ACTA ACUST UNITED AC 2012. [DOI: 10.1039/c2jm15716k] [Citation(s) in RCA: 205] [Impact Index Per Article: 17.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
|
35
|
Jimison LH, Hama A, Strakosas X, Armel V, Khodagholy D, Ismailova E, Malliaras GG, Winther-Jensen B, Owens RM. PEDOT:TOS with PEG: a biofunctional surface with improved electronic characteristics. ACTA ACUST UNITED AC 2012. [DOI: 10.1039/c2jm32188b] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
|
36
|
Khodagholy D, Doublet T, Gurfinkel M, Quilichini P, Ismailova E, Leleux P, Herve T, Sanaur S, Bernard C, Malliaras GG. Highly conformable conducting polymer electrodes for in vivo recordings. Adv Mater 2011; 23:H268-72. [PMID: 21826747 DOI: 10.1002/adma.201102378] [Citation(s) in RCA: 200] [Impact Index Per Article: 15.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2011] [Indexed: 05/20/2023]
Affiliation(s)
- Dion Khodagholy
- Department of Bioelectronics, Centre Microélectronique de Provence, Ecole Nationale Supérieure des Mines de Saint Etienne, Gardanne, France
| | | | | | | | | | | | | | | | | | | |
Collapse
|
37
|
Fraser KJ, Yang SY, Cicoira F, Curto VF, Byrne R, Benito-Lopez F, Khodagholy D, Owens RM, Malliaras GG, Diamond D. Electrochemical transistors with ionic liquids for enzymatic sensing. ACTA ACUST UNITED AC 2011. [DOI: 10.1117/12.894412] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
|