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Journal of Integrative Neuroscience

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https://www.readbyqxmd.com/read/28220726/author-index-volume-15-2016
#1
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No abstract text is available yet for this article.
December 2016: Journal of Integrative Neuroscience
https://www.readbyqxmd.com/read/28142317/inventing-atomic-resolution-scanning-dielectric-microscopy-to-see-a-single-protein-complex-operation-live-at-resonance-in-a-neuron-without-touching-or-adulterating-the-cell
#2
Lokesh Agrawal, Satyajit Sahu, Subrata Ghosh, Takashi Shiga, Daisuke Fujita, Anirban Bandyopadhyay
A substantial ion flow in a normally wet protein masks any other forms of signal transmission. We use hysteresis and linear conduction (both are artifacts) as a marker to precisely wet a protein, which restricts the ionic conduction (hysteresis disappears), and at the same time, it is not denatured (quantized conductance and Raman spectra are intact). Pure electric visualization of proteins at work by eliminating the screening of ions, electrons, would change the way we study biology. Here we discuss the technical challenges resolved for imaging a protein or live cell using nonlinear dielectric response (spatial distribution of conductance, capacitance and phase, GCP trio)...
December 2016: Journal of Integrative Neuroscience
https://www.readbyqxmd.com/read/28100105/inventing-a-co-axial-atomic-resolution-patch-clamp-to-study-a-single-resonating-protein-complex-and-ultra-low-power-communication-deep-inside-a-living-neuron-cell
#3
Subrata Ghosh, Satyajit Sahu, Lokesh Agrawal, Takashi Shiga, Anirban Bandyopadhyay
To read the signals of single molecules in vitro on a surface, or inside a living cell or organ, we introduce a coaxial atom tip (coat) and a coaxial atomic patch clamp (COAPAP). The metal-insulator-metal cavity of these probes extends to the atomic scale (0.1[Formula: see text]nm), it eliminates the cellular or environmental noise with a S/N ratio 10(5). Five ac signals are simultaneously applied during a measurement by COAT and COAPAP to shield a true signal under environmental noise in five unique ways. The electromagnetic drive in the triaxial atomic tips is specifically designed to sense anharmonic vibrational and transmission signals for any system between 0...
December 2016: Journal of Integrative Neuroscience
https://www.readbyqxmd.com/read/28100104/theoretical-predication-of-temperature-effects-on-accommodative-processes-in-simulated-amyotrophic-lateral-sclerosis-during-hypothermia-and-hyperthermia
#4
D I Stephanova, A Kossev
Electrotonic potentials allow the accommodative processes to long-lasting subthreshold polarizing stimuli to be assessed. The present study investigates such potentials in previously simulated cases of amyotrophic lateral sclerosis, termed as ALS1, ALS2 and ALS3, respectively, when the temperature is changed during hypothermia ([Formula: see text]C) and hyperthermia ([Formula: see text]C). The ALS cases are modeled as three progressively severe uniform axonal dysfunctions along the human motor nerve fiber which is simulated by our temperature-dependent multi-layered numerical model...
December 2016: Journal of Integrative Neuroscience
https://www.readbyqxmd.com/read/28093025/a-fuzzy-integral-method-based-on-the-ensemble-of-neural-networks-to-analyze-fmri-data-for-cognitive-state-classification-across-multiple-subjects
#5
L A Cacha, S Parida, S Dehuri, S-B Cho, R R Poznanski
The huge number of voxels in fMRI over time poses a major challenge to for effective analysis. Fast, accurate, and reliable classifiers are required for estimating the decoding accuracy of brain activities. Although machine-learning classifiers seem promising, individual classifiers have their own limitations. To address this limitation, the present paper proposes a method based on the ensemble of neural networks to analyze fMRI data for cognitive state classification for application across multiple subjects...
December 2016: Journal of Integrative Neuroscience
https://www.readbyqxmd.com/read/28077003/influence-of-extrinsic-inputs-and-synaptic-gains-on-dynamics-of-wendling-s-neural-mass-model-a-bifurcation-analysis
#6
Shujuan Geng, Weidong Zhou
We analyze the neurodynamics attributed by a model proposed by Wendling and co-workers (2002) [Wendling, F., Bartolomei, F., Bellanger, J.J. & Chauvel, P. (2002) Epileptic fast activity can be explained by a model of impaired GABAergic dendritic inhibition. Eur. J. Neurosci., 15, 1499.] to explain several different types of electroencephalographic activities. We could find three principal types of steady states when the system parameters change slowly: (i) the model produce a constant output when it is under a state of stable equilibrium point with a constant input...
December 2016: Journal of Integrative Neuroscience
https://www.readbyqxmd.com/read/28077002/pupil-size-behavior-during-online-processing-of-sentences
#7
G Fernández, J Biondi, S Castro, O Agamenonni
In the present work we analyzed the pupil size behavior of 40 subjects while they read well-defined sentences with different contextual predictability (i.e., regular sentences and proverbs). In general, pupil size increased when reading regular sentences, but when readers realized that they were reading proverbs their pupils strongly increase until finishing proverbs' reading. Our results suggest that an increased pupil size is not limited to cognitive load (i.e., relative difficulty in processing) because when participants accurately recognized words during reading proverbs, theirs pupil size increased too...
December 2016: Journal of Integrative Neuroscience
https://www.readbyqxmd.com/read/28052704/conflicting-effects-by-antibodies-against-connexin36-during-the-action-of-intracellular-cyclic-amp-onto-electrical-synapses-of-retinal-ganglion-cells
#8
Soh Hidaka
Alpha-type retinal ganglion cells (alpha cells) of the same class in mammalian retina are connected by gap junctions. Electrical synapses between alpha cells were examined using combined techniques of dual patch-clamp recordings, intracellular labeling and electron microscopy in the albino rat retina. In simultaneous dual whole-cell recordings from pairs of neighboring alpha cells, bidirectional electrical synapses with symmetrical junction conductance were observed in pairs with cells of the same morphological type...
December 2016: Journal of Integrative Neuroscience
https://www.readbyqxmd.com/read/28002987/decision-making-under-uncertainty-in-a-spiking-neural-network-model-of-the-basal-ganglia
#9
Charlotte Héricé, Radwa Khalil, Marie Moftah, Thomas Boraud, Martin Guthrie, André Garenne
The mechanisms of decision-making and action selection are generally thought to be under the control of parallel cortico-subcortical loops connecting back to distinct areas of cortex through the basal ganglia and processing motor, cognitive and limbic modalities of decision-making. We have used these properties to develop and extend a connectionist model at a spiking neuron level based on a previous rate model approach. This model is demonstrated on decision-making tasks that have been studied in primates and the electrophysiology interpreted to show that the decision is made in two steps...
December 2016: Journal of Integrative Neuroscience
https://www.readbyqxmd.com/read/27931147/neural-communication-through-theta-gamma-cross-frequency-coupling-in-a-bistable-motion-perception-task
#10
Abolfazl Alipour, Azadeh Mojdehfarahbakhsh, Ashkan Tavakolian, Taha Morshedzadeh, Maedeh Asadi, Alireza Mehdizadeh, Mohammad Nami
Functional significance of the neural oscillations has been debated since long. In particular, oscillations have been suggested to play a major role in formation of communication channels between brain regions. It has been previously suggested that gamma coherence increases during communication between hemispheres when subjects perceive a horizontal motion in Stroboscopic Alternative Motion (SAM) stimulus. In addition, disruption of this coherence may change the horizontal perception of SAM. In this study, we investigated the changes of Cross-Frequency Coupling (CFC) in EEG signals from parietal and occipital cortices during horizontal and vertical perception of SAM...
December 2016: Journal of Integrative Neuroscience
https://www.readbyqxmd.com/read/27875942/a-combined-study-of-meg-and-pico-tesla-tms-on-children-with-autism-disorder
#11
Photios Anninos, Athanasios Chatzimichael, Adam Adamopoulos, Athanasia Kotini, Nicolaos Tsagas
Magnetoencephalographic (MEG) recordings from the brain of 10 children with autism (6 boys and 4 girls, with ages range from 5-12 years, mean[Formula: see text][Formula: see text][Formula: see text]SD: 8.3[Formula: see text][Formula: see text][Formula: see text]2.1) were obtained using a whole-head 122-channel MEG system in a magnetically shielded room of low magnetic noise. A double-blind experimental design was used in order to look for possible effect of external pico-Tesla Transcranial Magnetic Stimulation (pT-TMS)...
December 2016: Journal of Integrative Neuroscience
https://www.readbyqxmd.com/read/27774837/parameter-pattern-discovery-in-nonlinear-dynamic-model-for-eegs-analysis
#12
Sun-Hee Kim, Christos Faloutsos, Hyung-Jeong Yang, Seong-Whan Lee
We propose a nonlinear dynamic model for an invasive electroencephalogram analysis that learns the optimal parameters of the neural population model via the Levenberg-Marquardt algorithm. We introduce the crucial windows where the estimated parameters present patterns before seizure onset. The optimal parameters minimizes the error between the observed signal and the generated signal by the model. The proposed approach effectively discriminates between healthy signals and epileptic seizure signals. We evaluate the proposed method using an electroencephalogram dataset with normal and epileptic seizure sequences...
September 2016: Journal of Integrative Neuroscience
https://www.readbyqxmd.com/read/27774836/a-neural-network-model-for-visual-selection-and-shifting
#13
Yuanhua Qiao, Xiaojie Liu, Jun Miao, Lijuan Duan
In this paper, a two-layer network is built to simulate the mechanism of visual selection and shifting based on the mapping dynamic model for instantaneous frequency. Unlike the differential equation model using limit cycle to simulate neuron oscillation, we build an instantaneous frequency mapping dynamic model to describe the change of the neuron frequency to avoid the difficulty of generating limit cycle. The activity of the neuron is rebuilt based on the instantaneous frequency and in this work, we use the first layer of neurons to implement image segmentation and the second layer of neurons to act as visual selector...
September 2016: Journal of Integrative Neuroscience
https://www.readbyqxmd.com/read/27774835/the-contributions-to-the-human-dorsal-column-tracts-from-the-spinal-cord-laminae
#14
Özlem Kirazlı, Bilgehan Solmaz, Safiye Çavdar
The dorsal column tracts (fasciculus gracilis and fasciculus cuneatus) are concerned with discriminative qualities of sensation. There are controversial descriptions related to the relations of dorsal column tracts with the dorsal horn laminae in text-books. The present study aims to define the laminae of the dorsal horn of the spinal cord that contribute fibers to the dorsal column tracts in the cervical, thoracic and lumbar spinal level. Series paraffin spinal cords sections of six formalin-embalmed adult human cadavers were evaluated...
September 2016: Journal of Integrative Neuroscience
https://www.readbyqxmd.com/read/27696926/development-of-a-new-miniaturized-bioreactor-for-axon-stretch-growth
#15
Xiao Li, Qi Xu, Yuanyuan Wang, Fang Chen, Jiping He
Peripheral nerve injury requires a physical bridge across the lesion, which is limited by the insufficient supply of donor nerves. Here, we developed a new miniaturized bioreactor system for axon stretch growth. Dorsal root ganglia explants were first placed on two adjoining substrates and formed new synaptic connections. The axon bundles across the border between the top and bottom membranes were then stretched in a stepwise fashion by a microstepper motor system. After several days of stretch, the axon tracts could reach lengths that could develop into living nervous tissue constructs...
September 2016: Journal of Integrative Neuroscience
https://www.readbyqxmd.com/read/27681162/the-backtracking-search-optimization-algorithm-for-frequency-band-and-time-segment-selection-in-motor-imagery-based-brain-computer-interfaces
#16
Zhonghai Wei, Qingguo Wei
Common spatial pattern (CSP) is a powerful algorithm for extracting discriminative brain patterns in motor imagery-based brain-computer interfaces (BCIs). However, its performance depends largely on the subject-specific frequency band and time segment. Accurate selection of most responsive frequency band and time segment remains a crucial problem. A novel evolutionary algorithm, the backtracking search optimization algorithm is used to find the optimal frequency band and the optimal combination of frequency band and time segment...
September 2016: Journal of Integrative Neuroscience
https://www.readbyqxmd.com/read/27650784/impaired-neurogenesis-of-the-dentate-gyrus-is-associated-with-pattern-separation-deficits-a-computational-study
#17
Faramarz Faghihi, Ahmed A Moustafa
The separation of input patterns received from the entorhinal cortex (EC) by the dentate gyrus (DG) is a well-known critical step of information processing in the hippocampus. Although the role of interneurons in separation pattern efficiency of the DG has been theoretically known, the balance of neurogenesis of excitatory neurons and interneurons as well as its potential role in information processing in the DG is not fully understood. In this work, we study separation efficiency of the DG for different rates of neurogenesis of interneurons and excitatory neurons using a novel computational model in which we assume an increase in the synaptic efficacy between excitatory neurons and interneurons and then its decay over time...
September 2016: Journal of Integrative Neuroscience
https://www.readbyqxmd.com/read/27550366/differential-frontal-theta-activity-during-cognitive-and-motor-tasks
#18
COMPARATIVE STUDY
Kwangmin Ryu, Youngjin Choi, Jingu Kim, Yujin Kim, Sungmook Chio
The present study investigated psychophysiological differences between cognitive and motor tasks. Participants were 16 university students (male[Formula: see text][Formula: see text][Formula: see text]10, female[Formula: see text][Formula: see text][Formula: see text]6) aged between 24 to 31 years (mean[Formula: see text][Formula: see text][Formula: see text]27.6 years, SD[Formula: see text][Formula: see text] [Formula: see text] years). They were instructed to perform cognitive and motor tasks while their brain activity was simultaneously recorded using electroencephalography (EEG)...
September 2016: Journal of Integrative Neuroscience
https://www.readbyqxmd.com/read/27507003/the-effect-of-the-neural-activity-on-topological-properties-of-growing-neural-networks
#19
F M Gafarov, V R Gafarova
The connectivity structure in cortical networks defines how information is transmitted and processed, and it is a source of the complex spatiotemporal patterns of network's development, and the process of creation and deletion of connections is continuous in the whole life of the organism. In this paper, we study how neural activity influences the growth process in neural networks. By using a two-dimensional activity-dependent growth model we demonstrated the neural network growth process from disconnected neurons to fully connected networks...
September 2016: Journal of Integrative Neuroscience
https://www.readbyqxmd.com/read/27401999/a-novel-pattern-mining-approach-for-identifying-cognitive-activity-in-eeg-based-functional-brain-networks
#20
M Thilaga, R Vijayalakshmi, R Nadarajan, D Nandagopal
The complex nature of neuronal interactions of the human brain has posed many challenges to the research community. To explore the underlying mechanisms of neuronal activity of cohesive brain regions during different cognitive activities, many innovative mathematical and computational models are required. This paper presents a novel Common Functional Pattern Mining approach to demonstrate the similar patterns of interactions due to common behavior of certain brain regions. The electrode sites of EEG-based functional brain network are modeled as a set of transactions and node-based complex network measures as itemsets...
June 2016: Journal of Integrative Neuroscience
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