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https://www.readbyqxmd.com/read/28227989/computational-models-of-non-invasive-brain-and-spinal-cord-stimulation
#1
Pedro C Miranda, Ricardo Salvador, Cornelia Wenger, Sofia R Fernandes, Pedro C Miranda, Ricardo Salvador, Cornelia Wenger, Sofia R Fernandes, Sofia R Fernandes, Pedro C Miranda, Cornelia Wenger, Ricardo Salvador
Non-invasive brain and spinal cord stimulation techniques are increasingly used for diagnostic and therapeutic purposes. Knowledge of the spatial distribution of the induced electric field is necessary to interpret experimental results and to optimize field delivery. Since the induced electric field cannot be measured in vivo in humans, computational models play a fundamental role in determining the characteristics of the electric field. We produced computational models of the head and trunk to calculate the electric field induced in the brain and spinal cord by transcranial magnetic stimulation, transcranial direct current stimulation and transcutaneous spinal cord direct current stimulation...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227903/development-of-a-detailed-model-of-calcium-dynamics-at-the-postsynaptic-spine-of-an-excitatory-synapse
#2
Eric Y Hu, Jean-Marie C Bouteiller, Dong Song, Theodore W Berger, Eric Y Hu, Jean-Marie C Bouteiller, Dong Song, Theodore W Berger, Jean-Marie C Bouteiller, Eric Y Hu, Dong Song, Theodore W Berger
Postsynaptic calcium dynamics play a critical role in synaptic plasticity, but are often difficult to measure in experimental protocols due to their relatively fast rise and decay times, and the small spine dimensions. To circumvent these limitations, we propose to develop a computational model of calcium dynamics in the postsynaptic spine. This model integrates the main elements that participate in calcium concentration influx, efflux, diffusion and buffering. These consist of (i) spine geometry; (ii) calcium influx through NMDA receptors and voltage-dependent calcium channels (VDCC); (iii) calcium efflux with plasma membrane calcium pumps (PMCA) and sodium-calcium exchangers (NCX); (iv) intracellular calcium stores; and (v) calcium buffers...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227751/a-time-domain-frequency-selective-multivariate-granger-causality-approach
#3
Lutz Leistritz, Herbert Witte, Lutz Leistritz, Herbert Witte, Lutz Leistritz, Herbert Witte
The investigation of effective connectivity is one of the major topics in computational neuroscience to understand the interaction between spatially distributed neuronal units of the brain. Thus, a wide variety of methods has been developed during the last decades to investigate functional and effective connectivity in multivariate systems. Their spectrum ranges from model-based to model-free approaches with a clear separation into time and frequency range methods. We present in this simulation study a novel time domain approach based on Granger's principle of predictability, which allows frequency-selective considerations of directed interactions...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227541/effects-of-electrode-displacement-in-high-definition-transcranial-direct-current-stimulation-a-computational-study
#4
Hyeon Seo, Donghyeon Kim, Sung Chan Jun, Hyeon Seo, Donghyeon Kim, Sung Chan Jun, Donghyeon Kim, Sung Chan Jun, Hyeon Seo
In order to understand better the ways in which cortical excitability is linked to target brain areas, this study describes the effects of focalized high-definition transcranial direct current stimulation (HD-tDCS), and investigates the way in which these effects persisted after the stimulus electrodes were displaced from the target area. We constructed a 3D volume conduction model of an anatomically realistic head that is ideal for HD-tDCS, as well as compartmental models of layer 3 and layer 5 pyramidal neurons...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227179/influence-of-electrode-configuration-on-the-electric-field-distribution-during-transcutaneous-spinal-direct-current-stimulation-of-the-cervical-spine
#5
Sofia R Fernandes, Ricardo Salvador, Cornelia Wenger, Mamede A de Carvalho, Pedro C Miranda, Sofia R Fernandes, Ricardo Salvador, Cornelia Wenger, Mamede A de Carvalho, Pedro C Miranda, Sofia R Fernandes, Pedro C Miranda, Cornelia Wenger, Ricardo Salvador, Mamede A de Carvalho
Transcutaneous spinal direct current stimulation (tsDCS) is a recent technique with promising neuromodulatory effects on spinal neuronal circuitry. The main objective of the present study was to perform a finite element analysis of the electric field distribution in tsDCS in the cervical spine region, with varying electrode configurations and geometry. A computational model of a human trunk was generated with nine tissue meshes. Three electrode configurations were tested: A) rectangular saline-soaked sponge target and return electrodes placed over C3 and T3 spinous processes, respectively; B1) circular saline-soaked sponge target and return electrodes placed over C7 spinous process and right deltoid muscle, respectively; B2) same configuration as B1, considering circular shaped electrodes with sponge and rubber layers and a small circular connector on the top surface...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227164/dynamical-information-encoding-in-neural-adaptation
#6
Luozheng Li, Wenhao Zhang, Yuanyuan Mi, Dahui Wang, Xiaohan Lin, Si Wu, Luozheng Li, Wenhao Zhang, Yuanyuan Mi, Dahui Wang, Xiaohan Lin, Si Wu, Si Wu, Dahui Wang, Xiaohan Lin, Yuanyuan Mi, Wenhao Zhang, Luozheng Li
Adaptation refers to the general phenomenon that a neural system dynamically adjusts its response property according to the statistics of external inputs. In response to a prolonged constant stimulation, neuronal firing rates always first increase dramatically at the onset of the stimulation; and afterwards, they decrease rapidly to a low level close to background activity. This attenuation of neural activity seems to be contradictory to our experience that we can still sense the stimulus after the neural system is adapted...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227099/a-large-scale-detailed-neuronal-model-of-electrical-stimulation-of-the-dentate-gyrus-and-perforant-path-as-a-platform-for-electrode-design-and-optimization
#7
Clayton S Bingham, Kyle Loizos, Gene Yu, Andrew Gilbert, Jean-Marie Bouteiller, Dong Song, Gianluca Lazzi, Theodore W Berger, Clayton S Bingham, Kyle Loizos, Gene Yu, Andrew Gilbert, Jean-Marie Bouteiller, Dong Song, Gianluca Lazzi, Theodore W Berger, Kyle Loizos, Gene Yu, Theodore W Berger, Gianluca Lazzi, Jean-Marie Bouteiller, Clayton S Bingham, Dong Song, Andrew Gilbert
Owing to the dramatic rise in treatment of neurological disorders with electrical micro-stimulation it has become apparent that the major technological limitation in deploying effective devices lies in the process of designing efficient, safe, and outcome specific electrode arrays. The time-consuming and low-fidelity nature of gathering test data using experimental means and the immense control and flexibility of computational models, has prompted us and others to build models of electrical stimulation of neural networks that can be simulated in a computer...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226862/novel-fractal-planar-electrode-design-for-efficient-neural-stimulation
#8
Xuefeng Wei, Mehdi Benmassaoud, Miriam Meller, Sindhuja Kuchibhatla, Xuefeng Wei, Mehdi Benmassaoud, Miriam Meller, Sindhuja Kuchibhatla, Mehdi Benmassaoud, Sindhuja Kuchibhatla, Miriam Meller, Xuefeng Wei
Planar electrodes are used in epidural spinal cord stimulation and cortical stimulation. Stimulation efficiency of an electrode is characterized by its ability to activate a volume of neural tissue with lower voltage and power requirements. As current density tends to increase towards the sharp edges of an electrode, we hypothesize that electrode designs involving a greater amount of sharp edges will have higher variations of current density, and therefore increase stimulation efficiency, compared to electrodes with flat or rounded edges...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226769/a-bi-directional-communication-paradigm-between-parallel-neuron-and-an-external-non-neuron-process
#9
Phillip J Hendrickson, Clayton Bingham, Dong Song, Theodore W Berger, Phillip J Hendrickson, Clayton Bingham, Dong Song, Theodore W Berger, Phillip J Hendrickson, Clayton Bingham, Dong Song, Theodore W Berger
In order to accurately model the pattern of activation due to electrical stimulation of the hippocampus, a multi-scale computational approach is necessary. At the system level, the Admittance Method (ADM) is used to calculate the extracellular voltages created by a stimulating electrode. At the network and cellular levels, a large-scale multi-compartmental neuron network is used to calculate cellular activation. This paper presents a bi-directional communication paradigm between the NEURON model and an external surrogate for the ADM solver, where at each time step, neurons share their membrane currents with the external process, and the external process shares calculated extracellular voltages with the neuronal network...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226768/thalamic-gamma-band-desynchronization-in-a-computational-model-of-the-auditory-pathway
#10
Ana E Uriarte, Lars Haab, Narsis Salafzoon, Daniel J Strauss, Ana E Uriarte, Lars Haab, Narsis Salafzoon, Daniel J Strauss, Ana E Uriarte, Lars Haab, Narsis Salafzoon, Daniel J Strauss
Recent studies have focused on modeling the response of the early auditory processing stages to sound stimuli. However, the influence of sound on the higher stages like the auditory thalamus are not well identified. To understand how different sound stimuli affect the response of neurons in these higher stages, it is necessary to model the auditory pathway from the auditory nerve (AN) through the different stages up to the cortex. In this article we present a model of one of the paths through which sound travels from the AN to the cortex...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226767/place-field-detection-using-grid-based-clustering-in-a-large-scale-computational-model-of-the-rat-dentate-gyrus
#11
Gene J Yu, Dong Song, Theodore W Berger, Gene J Yu, Dong Song, Theodore W Berger, Dong Song, Gene J Yu, Theodore W Berger
Place cells are neurons in the hippocampus that are sensitive to location within an environment. Simulations of a large-scale, computational model of the rat dentate gyrus using grid cell input have been performed resulting in granule cells that express multiple place fields. The typical method of detecting place fields using a global threshold on this data is unreliable as the characteristics of the place fields from a single neuron can be highly variable. A grid-based implementation of DENCLUE has been developed to calculate local thresholds to identify each place field...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226670/computational-modeling-of-high-frequency-oscillations-recorded-with-clinical-intracranial-macroelectrodes
#12
M Shamas, P Benquet, I Merlet, W El Falou, M Khalil, F Wendling, M Shamas, P Benquet, I Merlet, W El Falou, M Khalil, F Wendling, M Khalil, P Benquet, I Merlet, W El Falou, M Shamas, F Wendling
High Frequency Oscillations (HFOs) are a potential biomarker of epileptogenic regions. They have been extensively investigated in terms of automatic detection, classification and feature extraction. However, the mechanisms governing the generation of HFOs as well as the observability conditions on clinical intracranial macroelectrodes remain elusive. In this paper, we propose a novel physiologically-relevant macroscopic model for accurate simulation of HFOs as invasively recorded in epileptic patients. This model accounts for both the temporal and spatial properties of the cortical patch at the origin of epileptiform activity...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226481/subthreshold-linear-modeling-of-dendritic-trees-a-computational-approach
#13
Alireza Khodaei, Massimiliano Pierobon, Alireza Khodaei, Massimiliano Pierobon, Alireza Khodaei, Massimiliano Pierobon
The design of communication systems based on the transmission of information through neurons is envisioned as a key technology for the pervasive interconnection of future wearable and implantable devices. While previous literature has mainly focused on modeling propagation of electrochemical spikes carrying natural information through the nervous system, in recent work the authors of this paper proposed the so-called subthreshold electrical stimulation as a viable technique to propagate artificial information through neurons...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226424/reward-gain-model-describes-cortical-use-dependent-plasticity
#14
Firas Mawase, Nicholas Wymbs, Shintaro Uehara, Pablo Celnik, Firas Mawase, Nicholas Wymbs, Shintaro Uehara, Pablo Celnik, Firas Mawase, Pablo Celnik, Shintaro Uehara, Nicholas Wymbs
Consistent repetitions of an action lead to plastic change in the motor cortex and cause shift in the direction of future movements. This process is known as use-dependent plasticity (UDP), one of the basic forms of the motor memory. We have recently demonstrated in a physiological study that success-related reinforcement signals could modulate the strength of UDP. We tested this idea by developing a computational approach that modeled the shift in the direction of future action as a change in preferred direction of population activity of neurons in the primary motor cortex...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226410/patient-specific-computational-modeling-of-cortical-spreading-depression-via-diffusion-tensor-imaging
#15
Julia M Kroos, Isabella Marinelli, Ibai Diez, Jesus M Cortes, Sebastiano Stramaglia, Luca Gerardo-Giorda
Cortical Spreading Depression (CSD), a depolarization wave originating in the visual cortex and traveling towards the frontal lobe, is commonly accepted as a correlate of migraine visual aura. As of today, little is known about the mechanisms that can trigger or stop such phenomenon. However, the complex and highly individual characteristics of the brain cortex suggest that the geometry might have a significant impact in supporting or contrasting the propagation of CSD. Accurate patient-specific computational models are fundamental to cope with the high variability in cortical geometries among individuals, but also with the conduction anisotropy induced in a given cortex by the complex neuronal organisation in the grey matter...
February 22, 2017: International Journal for Numerical Methods in Biomedical Engineering
https://www.readbyqxmd.com/read/28224266/design-process-and-tools-for-dynamic-neuromechanical-models-and-robot-controllers
#16
Nicholas S Szczecinski, Alexander J Hunt, Roger D Quinn
We present a serial design process with associated tools to select parameter values for a posture and locomotion controller for simulation of a robot. The controller is constructed from dynamic neuron and synapse models and simulated with the open-source neuromechanical simulator AnimatLab 2. Each joint has a central pattern generator (CPG), whose neurons possess persistent sodium channels. The CPG rhythmically inhibits motor neurons that control the servomotor's velocity. Sensory information coordinates the joints in the leg into a cohesive stepping motion...
February 21, 2017: Biological Cybernetics
https://www.readbyqxmd.com/read/28222198/algorithmic-design-of-a-noise-resistant-and-efficient-closed-loop-deep-brain-stimulation-system-a-computational-approach
#17
Sofia D Karamintziou, Ana Luísa Custódio, Brigitte Piallat, Mircea Polosan, Stéphan Chabardès, Pantelis G Stathis, George A Tagaris, Damianos E Sakas, Georgia E Polychronaki, George L Tsirogiannis, Olivier David, Konstantina S Nikita
Advances in the field of closed-loop neuromodulation call for analysis and modeling approaches capable of confronting challenges related to the complex neuronal response to stimulation and the presence of strong internal and measurement noise in neural recordings. Here we elaborate on the algorithmic aspects of a noise-resistant closed-loop subthalamic nucleus deep brain stimulation system for advanced Parkinson's disease and treatment-refractory obsessive-compulsive disorder, ensuring remarkable performance in terms of both efficiency and selectivity of stimulation, as well as in terms of computational speed...
2017: PloS One
https://www.readbyqxmd.com/read/28219982/enhanced-sensitivity-to-hyperpolarizing-inhibition-in-mesoaccumbal-relative-to-nigrostriatal-dopamine-neuron-subpopulations
#18
Rahilla A Tarfa, Rebekah C Evans, Zayd M Khaliq
Midbrain dopamine neurons recorded in vivo pause their firing in response to reward omission and aversive stimuli. While the initiation of pauses typically involves synaptic or modulatory input, intrinsic membrane properties may also enhance or limit hyperpolarization raising the question of how intrinsic conductances shape pauses in dopamine neurons. Using retrograde labeling and electrophysiological techniques combined with computational modeling, we examined the intrinsic conductances that shape pauses evoked by current injections and synaptic stimulation in subpopulations of dopamine neurons grouped according to their axonal projections to the nucleus accumbens or dorsal striatum in mice...
February 20, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28215988/a-computational-model-of-the-respiratory-network-challenged-and-optimized-by-data-from-optogenetic-manipulation-of-glycinergic-neurons
#19
Yoshitaka Oku, Swen Hülsmann
The topology of the respiratory network in the brainstem has been addressed using different computational models, which help to understand the functional properties of the system. We tested a neural mass model by comparing the result of activation and inhibition of inhibitory neurons in silico with recently published results of optogenetic manipulation of glycinergic neurons [Sherman, et al. (2015) Nat Neurosci 18:408]. The comparison revealed that a five-cell type model consisting of three classes of inhibitory neurons [I-DEC, E-AUG, E-DEC (PI)] and two excitatory populations (pre-I/I) and (I-AUG) neurons can be applied to explain experimental observations made by stimulating or inhibiting inhibitory neurons by light sensitive ion channels...
February 13, 2017: Neuroscience
https://www.readbyqxmd.com/read/28213444/the-dendrites-of-ca2-and-ca1-pyramidal-neurons-differentially-regulate-information-flow-in-the-cortico-hippocampal-circuit
#20
Kalyan V Srinivas, Eric W Buss, Qian Sun, Bina Santoro, Hiroto Takahashi, Daniel A Nicholson, Steven A Siegelbaum
The impact of a given neuronal pathway depends on the number of synapses it makes with its postsynaptic target, the strength of each individual synapse and the integrative properties of the postsynaptic dendrites. Here we explore the cellular and synaptic mechanisms responsible for the differential excitatory drive from the entorhinal cortical pathway onto mouse CA2 compared to CA1 pyramidal neurons (PNs). Although both types of neurons receive direct input from entorhinal cortex onto their distal dendrites, these inputs produce a 5-6 fold larger excitatory postsynaptic potential (EPSP) at the soma of CA2 compared to CA1 PNs, which is sufficient to drive action potential output from CA2 but not CA1...
February 17, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
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