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Journal of Integrative Neuroscience

A Kotini, T Birbilis, P Anninos, I Seimenis
A 82-year-old male experiencing headaches, dementia, urinary incontinence and gait instability was diagnosed with normal pressure hydrocephalus (NPH) and underwent a resting state magnetoencephalography (MEG) examination. MEG data were recorded in a magnetically shielded room with a whole-head 122 channel biomagnetometer. Following MEG, a ventriculoperitoneal (VP) shunt was placed in his head and greatly improved his symptomatology. Spontaneous MEG recordings revealed lower magnetic fields at frontal and frontotemporal regions compared to central and posterior regions...
April 18, 2018: Journal of Integrative Neuroscience
V Priya, B N Srikumar, B S Shankaranarayana Rao
Performing multiple tasks either simultaneously, in rapid alternation or in succession, is routine in daily life. Further, testing rodents in a battery of tests is common both in drug discovery and behavioral phenotyping research. However, learning of new tasks can be influenced by prior experience(s). There has been some research on 'switching cost' involved in the transition from one behavior to another. However, there has been no specific assessment of the effect of learning an operant paradigm on performance in a spatial memory task and vice versa...
March 12, 2018: Journal of Integrative Neuroscience
M Shakeel, S Abdullah, M Shahzad, A Fahmi
The aim of this paper is to investigate the information aggregation methods under induced interval-valued Pythagorean trapezoidal fuzzy environment. Some Einstein operational laws on Pythagorean trapezoidal fuzzy numbers are defined based on Einstein sum and Einstein product. In this paper, we introduce the idea of induced interval-valued Pythagorean trapezoidal fuzzy Einstein ordered weighted geometric (I-IVPTFEOWG) operator and induced interval-valued Pythagorean trapezoidal fuzzy Einstein hybrid geometric (I-IVPTFEHG) operator...
2018: Journal of Integrative Neuroscience
Chia-Yen Yang, Chong-Kai Huang
Working memory is the cognitive process of receiving, processing, and communicating information. Early evaluation and training may help to prevent a marked decline in working-memory ability. The aim of this study was to establish an n-back task system for objectively evaluating the working-memory ability based on the θ power, the γ power, and the degree of θ-γ synchronization. Our experiments were divided into four memory loads (1-back to 4-back) and further divided into digital and matrix stimulation modes...
2018: Journal of Integrative Neuroscience
Adriana Lopez-Franco, Alma Y Alanis, Carlos Lopez-Franco, Nancy Arana-Daniel, Michel Lopez-Franco
Cognitive processing is needed to elicit emotional responses. At the same time, emotional responses modulate and guide cognition to enable adaptive responses to the environment. However, most empirical studies and theoretical models of cognitive functions have been investigated without taking into account emotion, which is considered interference that is counterproductive to the correct functioning of the cognitive system. To understand how complex behaviors are carried out in the brain, an understanding of the interactions between emotion and cognition may be indispensable...
2018: Journal of Integrative Neuroscience
Satoshi Iwasaki, Yuji Ikegaya
In vivo calcium imaging is a powerful tool used to record neuronal activity from living animals. For this purpose, two-photon excitation laser-scanning microscopy is commonly used because of the optical accessibility of deep tissues. In this study, we report that one-photon confocal scanning laser microscopy, when optimally tuned, is also applicable for in vivo calcium imaging from the superficial layer of the neocortex. By combining a Nipkow-disk confocal unit with a fluorescence stereo zoom microscope and a high numerical aperture objective, we succeeded in recording the fluorescence signal of individual cells at a depth of up to 160 μm in brain tissues, which corresponds to layer II of the mouse neocortex...
2018: Journal of Integrative Neuroscience
Leila Sadeghi, Vahid Yousefi Babadi, Farzeen Tanwir
Alzheimer's disease (AD) is a progressive neurodegenerative disorder greatly accompanied by oxidative stress and acetylcholine reduction in synaptic cleft that leads to dementia. Previously approved there is correlation between nucleus basalis of Meynert (NBM) degeneration and loss of memory, learning ability and thought. The aim of this study was to investigate improving effects of Echium amoenum aqueous extract on memory deficient, pathophysiological and oxidative damages imposed by NBM lesion in rats as documented AD model...
2018: Journal of Integrative Neuroscience
Safiye Çavdar, Merve Özgür, Yasemin Kuvvet, Hüsniye Bay, Evren Aydogmus
The role of cerebellum in coordination of somatic motor activity has been studied in detailed in various species. However, experimental and clinical studies have shown the involvement of the cerebellum with various visceral and cognitive functions via its vast connections with the central nervous system. The present study aims to define the cortical and subcortical and brain stem connections of the cerebellum via the superior (SCP) and middle (MCP) cerebellar peduncle using biotinylated dextran amine (BDA) and Fluoro-Gold (FG) tracer in Wistar albino rats...
2018: Journal of Integrative Neuroscience
Hongbin Liu, Yongjun Huang, Jinyi Li
Parkinson's disease is one of the most common diseases in the elderly population, and the substantia nigra is generally involved in the disease process; however, the signaling pathways and related genes underlying Parkinson's disease remain unclear. This study integrated three cohorts of profile datasets to elucidate the potential key candidate genes and pathways in Parkinson's disease. The expression profiles of GSE8397, GSE20186 and GSE49036 were included 55 available substantia nigra tissue samples from individuals diagnosed with Parkinson's disease and 33 substantia nigra tissue samples from healthy controls...
2018: Journal of Integrative Neuroscience
Badrah Saeed Ali Alghamdi
Alzheimer's disease (AD) is a progressive neurodegenerative disease that affects an estimated 5.4 million people worldwide. However, there remains no curative treatment for the condition. Aβ and hyperphosphorylated tau accumulation are the main hallmarks of the disease; they interfere with glutamate uptake and mediate glutamate excitotoxicity, oxidative stress, inflammation and neurodegeneration. As virgin coconut oil (VCO) is well-known as an antioxidant and anti-inflammatory natural compound, the purpose of the present study was to assess the possible prophylactic effect of VCO on aluminium chloride (AlCl3)- induced AD in rat...
2018: Journal of Integrative Neuroscience
Sara Motamed, Saeed Setayeshi, Azam Rabiee
Speech emotion recognition is a challenging obstacle to enabling communication between humans and machines. The present study introduces a new model of speech emotion recognition based on the relationship between the human brain and mind. According to this relationship, the proposed model consists of two parts: the brain short term memory (BSTM) and mind long term memory (MLTM). The input of the BSTM is emotional speech signals. Then, this part gives one copy of information to the MLTM. The reason is that the brain needs to save information as knowledge in a bigger and safer place similar to the human mind...
2018: Journal of Integrative Neuroscience
A M Elaiw, N H AlShamrani
In this paper we propose and analyze a pathogen dynamics model with antibody and Cytotoxic T Lymphocyte (CTL) immune responses. We incorporate latently infected cells and three distributed time delays into the model. We show that the solutions of the proposed model are nonnegative and ultimately bounded. We derive four threshold parameters which fully determine the existence and stability of the five steady states of the model. Using Lyapunov functionals, we established the global stability of the steady states of the model...
2018: Journal of Integrative Neuroscience
N Sandeep, G Kumaran, S Saleem
The flow of magnetohydrodynamic Carreau liquid with the Brownian moment, thermophoresis and cross diffusion effects is investigated numerically. The buoyancy persuades on the flow is contemplated in such a way that the surface is neither perpendicular/horizontal nor wedge/cone. This is very helpful in the design of jet-engine. The equations govern the flow are transmuted using acceptable similarity variables and numerically solved by recruiting Runge-Kutta based Newtons method. The graphical results are obtained to discuss the stimulus of flow, thermal and concentration fields for different parameters of interest...
2018: Journal of Integrative Neuroscience
A A Alderremy, S Saleem, F A Hendi
In this work, a comparative study of seven well-known mathematical techniques for the coupled Burgers' equations is reported. The techniques involve in this comparison are as follows: Laplace transform Adomian decomposition method, Laplace transform homotopy perturbation method, Variational iteration method, Variational iteration decomposition method, Variational iteration homotopy perturbation method, the optimal homotopy asymptotic method, and OHAM with Daftardar-Jafari polynomial. Here we considered a practical example which consists of coupled Burgers' equations with the kinematic viscosity ε=1...
2018: Journal of Integrative Neuroscience
Yuepeng Wu, Meihua Chen, Yu Cui, Xiying He, Jingzhong Niu, Yanbo Zhang, Li Zhou
OBJECTIVE: Our aim was to study the character of quantitative EEG of viral encephalitis. METHOD: Collect the EEG data of hospitalized children with viral encephalitis diagnosed by pediatricians from January 2013 to September 2016, and EEG data of normal cases at the same age were control group. Using quantitative EEG analysis technologies to obtain power spectrum value, power spectrum value, 1 power spectrum value, 12 power spectrum value, 21 power spectrum value, and 12 power spectrum value...
2018: Journal of Integrative Neuroscience
H B Santhosh, C S K Raju
This study explores the magneto hydrodynamic Carreau fluid in the interruption of titanium alloy nanoparticles with heat generation and porosity. The simulation is performed by combination of titanium alloy nanoparticles into base water. Titanium is strong and light in weight and sit is used in military and aerospace, in bio science it is used as anti-microbial, anti-biotic, and anti-fungal agents. The arising set of partial differential equations (P.D.E) are converted into set of ordinary differential equation (O...
2018: Journal of Integrative Neuroscience
Muhammad Saleem, Kashif Sharif, Aliya Fahmi
Applications of Pareto distribution are common in reliability, survival and financial studies. In this paper, A Pareto mixture distribution is considered to model a heterogeneous population comprising of two subgroups. Each of two subgroups is characterized by the same functional form with unknown distinct shape and scale parameters. Bayes estimators have been derived using flat and conjugate priors using squared error loss function. Standard errors have also been derived for the Bayes estimators. An interesting feature of this study is the preparation of components of Fisher Information matrix...
2018: Journal of Integrative Neuroscience
Renata S Marcomini, Ana Claúdia F Frizzo, Viviane B de Góes, Simone F Regaçone, David M Garner, Rodrigo D Raimundo, Fernando R Oliveira, Vitor E Valenti
Sound signal processing signifies an important factor for human conscious communication and it may be assessed through cortical auditory evoked potentials (CAEP). Heart rate variability (HRV) provides information about heart rate autonomic regulation. We investigated the association between resting HRV and CAEP. We evaluated resting HRV in the time and frequency domain and the CAEP components. The subjects remained at rest for 10 minutes for HRV recording, then they performed the CAEP examinations through frequency and duration protocols in both ears...
2018: Journal of Integrative Neuroscience
Iqtadar Hussain, Amir Anees, Abdulmohsen Algarni
Thermal images play a vital character at nuclear plants, Power stations, Forensic labs biological research, and petroleum products extraction. Safety of thermal images is very important. Image data has some unique features such as intensity, contrast, homogeneity, entropy and correlation among pixels that is why somehow image encryption is trickier as compare to other encryptions. With conventional image encryption schemes it is normally hard to handle these features. Therefore, cryptographers have paid attention to some attractive properties of the chaotic maps such as randomness and sensitivity to build up novel cryptosystems...
2018: Journal of Integrative Neuroscience
Elham Askari, Seyed Kamaledin Setarehdan, Ali Sheikhani, Mohammad Reza Mohammadi, Mohammad Teshnehlab
In neuropsychological disorders, the significant abnormalities in the brain connections in some regions are observed. This paper presents a novel model to demonstrate the connections between different regions in children with autism. The proposed model first conducts the wavelet decomposition of electroencephalography signals by wavelet transform then the features are extracted, such as relative energy and entropy. These features are fed to the 3D-cellular neural network model as inputs to indicate the brain connections...
2018: Journal of Integrative Neuroscience
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