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https://www.readbyqxmd.com/read/28227901/identifying-montages-that-best-detect-the-electroencephalogram-power-spectrum-alteration-during-freezing-of-gait-in-parkinson-s-disease-patients
#1
Quynh Tran Ly, A M Ardi Handojoseno, Moran Gilat, Nghia Nguyen, Rifai Chai, Yvonne Tran, Simon J G Lewis, Hung T Nguyen, Quynh Tran Ly, A M Ardi Handojoseno, Moran Gilat, Nghia Nguyen, Rifai Chai, Yvonne Tran, Simon J G Lewis, Hung T Nguyen, Nghia Nguyen, A M Ardi Handojoseno, Moran Gilat, Hung T Nguyen, Yvonne Tran, Simon J G Lewis, Quynh Tran Ly, Rifai Chai
Our research team has previously used four Electroencephalography (EEG) leads to successfully detect and predict Freezing of Gait (FOG) in Parkinson's disease (PD). However, it remained to be determined whether these four sensor locations that were arbitrarily chosen based on their role in motor control are indeed the most optimal for FOG detection. The aim of this study was therefore to determine the most optimal location and combination of sensors to detect FOG amongst a 32-channel EEG montage using our EEG classification system...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227106/epileptic-seizure-onset-correlates-with-long-term-eeg-functional-brain-network-properties
#2
Maria Anastasiadou, Avgis Hadjipapas, Manolis Christodoulakis, Eleftherios S Papathanasiou, Savvas S Papacostas, Georgios D Mitsis, Maria Anastasiadou, Avgis Hadjipapas, Manolis Christodoulakis, Eleftherios S Papathanasiou, Savvas S Papacostas, Georgios D Mitsis, Maria Anastasiadou, Avgis Hadjipapas, Manolis Christodoulakis, Savvas S Papacostas, Eleftherios S Papathanasiou, Georgios D Mitsis
We investigated the correlation of epileptic seizure onset times with long term EEG functional brain network properties. To do so, we constructed binary functional brain networks from long-term, multichannel electroencephalographic data recorded from nine patients with epilepsy. The corresponding network properties were quantified using the average network degree. It was found that the network degree (as well as other network properties such as the network efficiency and clustering coefficient) exhibited large fluctuations over time; however, it also exhibited specific periodic temporal structure over different time scales (1...
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
#3
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/28226783/learning-a-probabilistic-boolean-network-model-from-biological-pathways-and-time-series-expression-data
#4
Vardaan Pahuja, Ritwik Kumar Layek, Pabitra Mitra, Vardaan Pahuja, Ritwik Kumar Layek, Pabitra Mitra, Vardaan Pahuja, Ritwik Kumar Layek, Pabitra Mitra
The problem of inferring a stochastic model for gene regulatory networks is addressed here. The prior biological data includes biological pathways and time-series expression data. We propose a novel algorithm to use both of these data to construct a Probabilistic Boolean Network (PBN) which models the observed dynamics of genes with a high degree of precision. Our algorithm constructs a pathway tree and uses the time-series expression data to select an optimal level of tree, whose nodes are used to infer the PBN...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226779/biologically-inspired-design-of-feedback-control-systems-implemented-using-dna-strand-displacement-reactions
#5
Mathias Foo, Rucha Sawlekar, Vishwesh V Kulkarni, Declan G Bates, Mathias Foo, Rucha Sawlekar, Vishwesh V Kulkarni, Declan G Bates, Vishwesh V Kulkarni, Rucha Sawlekar, Declan G Bates, Mathias Foo
The use of abstract chemical reaction networks (CRNs) as a modelling and design framework for the implementation of computing and control circuits using enzyme-free, entropy driven DNA strand displacement (DSD) reactions is starting to garner widespread attention in the area of synthetic biology. Previous work in this area has demonstrated the theoretical plausibility of using this approach to design biomolecular feedback control systems based on classical proportional-integral (PI) controllers, which may be constructed from CRNs implementing gain, summation and integrator operators...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226777/predicting-schizophrenia-by-fusing-networks-from-snps-dna-methylation-and-fmri-data
#6
Su-Ping Deng, Dongdong Lin, Vince D Calhoun, Yu-Ping Wang, Su-Ping Deng, Dongdong Lin, Vince D Calhoun, Yu-Ping Wang, Vince D Calhoun, Su-Ping Deng, Yu-Ping Wang, Dongdong Lin
In order to comprehensively utilize complementary information from multiple types of data for better disease diagnosis, in this study, we applied a network fusion based approach to integrating three types of data including genetic, epigenetic and neuroimaging data from a study of schizophrenia patients (SCZ). A network is a map of interactions, which contributes to investigating the connectivity of components or links between sub-units. We exploited the potential of using networks as features for discriminating SCZ from healthy controls...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226770/a-multiscale-model-based-analysis-of-the-multi-tissue-interplay-underlying-blood-glucose-regulation-in-type-i-diabetes
#7
Federico Wadehn, Stephan Schaller, Thomas Eissing, Markus Krauss, Lars Kupfer, Federico Wadehn, Stephan Schaller, Thomas Eissing, Markus Krauss, Lars Kupfer, Federico Wadehn, Markus Krauss, Lars Kupfer, Stephan Schaller, Thomas Eissing
A multiscale model for blood glucose regulation in diabetes type I patients is constructed by integrating detailed metabolic network models for fat, liver and muscle cells into a whole body physiologically-based pharmacokinetic/pharmacodynamic (pBPK/PD) model. The blood glucose regulation PBPK/PD model simulates the distribution and metabolization of glucose, insulin and glucagon on an organ and whole body level. The genome-scale metabolic networks in contrast describe intracellular reactions. The developed multiscale model is fitted to insulin, glucagon and glucose measurements of a 48h clinical trial featuring 6 subjects and is subsequently used to simulate (in silico) the influence of geneknockouts and drug-induced enzyme inhibitions on whole body blood glucose levels...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226620/predicting-local-field-potentials-with-recurrent-neural-networks
#8
Louis Kim, Jacob Harer, Akshay Rangamani, James Moran, Philip D Parks, Alik Widge, Emad Eskandar, Darin Dougherty, Sang Peter Chin, Louis Kim, Jacob Harer, Akshay Rangamani, James Moran, Philip D Parks, Alik Widge, Emad Eskandar, Darin Dougherty, Sang Peter Chin, Sang Peter Chin, Jacob Harer, Emad Eskandar, Darin Dougherty, Louis Kim, Philip D Parks, Akshay Rangamani, James Moran, Alik Widge
We present a Recurrent Neural Network using LSTM (Long Short Term Memory) that is capable of modeling and predicting Local Field Potentials. We train and test the network on real data recorded from epilepsy patients. We construct networks that predict multi-channel LFPs for 1, 10, and 100 milliseconds forward in time. Our results show that prediction using LSTM outperforms regression when predicting 10 and 100 millisecond forward in time.
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226578/automatic-prostate-segmentation-on-mr-images-with-deep-network-and-graph-model
#9
Ke Yan, Changyang Li, Xiuying Wang, Ang Li, Yuchen Yuan, Dagan Feng, Mohamed Khadra, Jinman Kim, Ke Yan, Changyang Li, Xiuying Wang, Ang Li, Yuchen Yuan, Dagan Feng, Mohamed Khadra, Jinman Kim, Ke Yan, Ang Li, Yuchen Yuan, Xiuying Wang, Jinman Kim, Dagan Feng, Changyang Li, Mohamed Khadra
Automated prostate diagnoses and treatments have gained much attention due to the high mortality rate of prostate cancer. In particular, unsupervised (automatic) prostate segmentation is an active and challenging research. Most conventional works usually utilize handcrafted (low-level) features for prostate segmentation; however they often fail to extract the intrinsic structure of the prostate, especially on images with blurred boundaries. In this paper, we propose a novel automated prostate segmentation model with learned features from deep network...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226577/semi-advised-learning-model-for-skin-cancer-diagnosis-based-on-histopathalogical-images
#10
Ammara Masood, Adel Al-Jumaily, Ammara Masood, Adel Al-Jumaily, Ammara Masood, Adel Al-Jumaily
Computer aided classification of skin cancer images is an active area of research and different classification methods has been proposed so far. However, the supervised classification models based on insufficient labeled training data can badly influence the diagnosis process. To deal with the problem of limited labeled data availability this paper presents a semi advised learning model for automated recognition of skin cancer using histopathalogical images. Deep belief architecture is constructed using unlabeled data by making efficient use of limited labeled data for fine tuning done the classification model...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226517/phase-to-amplitude-coupling-as-a-potential-biomarker-for-creative-ideation-an-eeg-study
#11
Mina Marmpena, Stavros I Dimitriadis, Nitish Thakor, Anastasios Bezerianos, Mina Marmpena, Stavros I Dimitriadis, Nitish Thakor, Anastasios Bezerianos, Stavros I Dimitriadis, Mina Marmpena, Nitish Thakor, Anastasios Bezerianos
The most consistent finding of creative ideation in the neuroscientific study of creativity is the increment of EEG α power. However, the majority of existing studies focused only on ERP experimental paradigms while only a few analyzed time-related changes of EEG α power patterns during the time unlocked creation of ideas. Here, we designed an experimental paradigm where the participants were asked to generate alternative uses of everyday objects (AU task). For the control task, we adopted an Object Characteristics (OC) task, for which participants were asked to list typical characteristics or properties of an object...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226435/resting-state-eeg-network-change-in-alpha-and-beta-bands-after-upper-limb-amputation
#12
Yuanyuan Lyu, Xiaoli Guo, Zhuo Wang, Shanbao Tong, Yuanyuan Lyu, Xiaoli Guo, Zhuo Wang, Shanbao Tong, Yuanyuan Lyu, Xiaoli Guo, Zhuo Wang, Shanbao Tong
To investigate the reorganization of functional brain network following amputation, twenty-two right-hand amputees and twenty-four age- and education-matched controls participated in a resting-state EEG study. EEG networks in alpha and beta bands were constructed using phase synchronization. Both global and local network parameters were compared between amputees and healthy controls. In the aspect of global connectivity, amputees showed increased clustering coefficient (C), decreased characteristic path length (L) and increased small worldness (S) in alpha band, and an increase of L in beta band...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28225867/investigating-ego-modules-and-pathways-in-osteosarcoma-by-integrating-the-egonet-algorithm-and-pathway-analysis
#13
X Y Chen, Y H Chen, L J Zhang, Y Wang, Z C Tong
Osteosarcoma (OS) is the most common primary bone malignancy, but current therapies are far from effective for all patients. A better understanding of the pathological mechanism of OS may help to achieve new treatments for this tumor. Hence, the objective of this study was to investigate ego modules and pathways in OS utilizing EgoNet algorithm and pathway-related analysis, and reveal pathological mechanisms underlying OS. The EgoNet algorithm comprises four steps: constructing background protein-protein interaction (PPI) network (PPIN) based on gene expression data and PPI data; extracting differential expression network (DEN) from the background PPIN; identifying ego genes according to topological features of genes in reweighted DEN; and collecting ego modules using module search by ego gene expansion...
February 16, 2017: Brazilian Journal of Medical and Biological Research, Revista Brasileira de Pesquisas Médicas e Biológicas
https://www.readbyqxmd.com/read/28225707/nonadherence-to-antiretroviral-therapy-among-hiv-infected-patients-in-zambia-is-concentrated-among-a-minority-of-patients-and-is-highly-variable-across-clinics
#14
Nancy L Czaicki, Charles B Holmes, Izukanji Sikazwe, Carolyn Bolton, Theodora Savory, Mwanza Wa Mwanza, Crispin Moyo, Nancy S Padian, Elvin H Geng
OBJECTIVES: The distribution of adherence to antiretroviral therapy (ART) can indicates whether barriers are concentrated or more distributed. We quantified the medication possession ratio (MPR) and characterized the distribution of medication nonpossession in a network of clinics in Zambia to identify 'hotspots' and predictors of poorer adherence. METHODS: We analyzed a population of adults on ART for more than 3 months who made at least one clinic visit between 1 January 2013 and 28 February 2015...
March 13, 2017: AIDS
https://www.readbyqxmd.com/read/28225608/time-dependent-markov-state-models-for-single-molecule-force-spectroscopy
#15
Susmita Ghosh, Abhijit Chatterjee, Swati Bhattacharya
This Letter demonstrates that using time-dependent Markov state models (TD-MSMs) one can obtain molecular-scale insights into force-extension curves for a variety of stretching experiments. A master-MSM constructed at a reference extension using a handful of molecular dynamics calculations forms the basis for generating the required TD-MSM. Changes in the network topology upon stretching is related through a thermodynamic quantity termed the mechanical disposition. Proof-of-principle is provided using a stretched alanine decapeptide under a time-varying pulling force...
February 22, 2017: Journal of Chemical Theory and Computation
https://www.readbyqxmd.com/read/28225208/weak-supramolecular-interactions-governing-parallel-and-antiparallel-dna-quadruplexes-insights-from-large-scale-qm-analysis-of-experimentally-derived-models
#16
Yevgen P Yurenko, Jan Novotný, Radek Marek
The topology and energetics of guanine (G) quadruplexes is governed by supramolecular interactions within their strands. In this work, we performed an extensive QM study of supramolecular interactions shaping the stems of (4+0) parallel (P) and (2+2) antiparallel (AP) systems. The large-scale (~ 400 atoms) models of P and AP were constructed from high-quality experimental structures. The results evidence that each of the P and AP structures is shaped by a distinct network of supramolecular interactions. The analysis of electron topological characteristics of H-bonds in P and AP systems indicates that the P model benefits from the stronger intra-tetrad H-bonding...
February 22, 2017: Chemistry: a European Journal
https://www.readbyqxmd.com/read/28224148/hypercrosslinked-porous-polymer-materials-design-synthesis-and-applications
#17
REVIEW
Liangxiao Tan, Bien Tan
Hypercrosslinked polymers (HCPs) are a series of permanent microporous polymer materials initially reported by Davankov, and have received an increasing level of research interest. In recent years, HCPs have experienced rapid growth due to their remarkable advantages such as diverse synthetic methods, easy functionalization, high surface area, low cost reagents and mild operating conditions. Judicious selection of monomers, appropriate length crosslinkers and optimized reaction conditions yielded a well-developed polymer framework with an adjusted porous topology...
February 22, 2017: Chemical Society Reviews
https://www.readbyqxmd.com/read/28224022/introduction-of-inflammatory-bowel-disease-biomarkers-panel-using-protein-protein-interaction-ppi-network-analysis
#18
Hamid Asadzadeh-Aghdaee, Shabnam Shahrokh, Mohsen Norouzinia, Mostafa Hosseini, Aliasghar Keramatinia, Mostafa Jamalan, Bijan Naghibzadeh, Ali Sadeghi, Somayeh Jahani Sherafat, Mohammad Reza Zali
AIM: In the present study, a protein-protein interaction network construction is conducted for IBD. BACKGROUND: Inflammatory bowel diseases as serious chronic gastrointestinal disorders attracted many molecular investigations. Diverse molecular information is present for IBD. However, these molecular findings are not highlighted based on interactome analysis. On the other hand, PPI network analysis is a powerful method for study of molecular interactions in the protein level that provide useful information for highlighting the desired key proteins...
December 2016: Gastroenterology and Hepatology From Bed to Bench
https://www.readbyqxmd.com/read/28223918/rpph1-upregulates-cdc42-expression-and-promotes-hippocampal-neuron-dendritic-spine-formation-by-competing-with-mir-330-5p
#19
Yifei Cai, Ziling Sun, Huizhen Jia, Hongxue Luo, Xiaoyang Ye, Qi Wu, Yi Xiong, Wei Zhang, Jun Wan
Alzheimer's disease (AD) is a heterogeneous neurodegenerative disease. Recent studies employing microRNA-seq and genome-wide sequencing have identified some non-coding RNAs that are influentially involved in AD pathogenesis. Non-coding RNAs can compete with other endogenous RNAs by microRNA response elements (MREs) and manipulate biological processes, such as tumorigenesis. However, only a few non-coding RNAs have been reported in the pathogenesis of AD. In this study, we constructed the first competing endogenous RNA (ceRNA) network leveraging whole transcriptome sequencing and a previously studied microRNA-seq of APPswe/PS1ΔE9 transgenic mice...
2017: Frontiers in Molecular Neuroscience
https://www.readbyqxmd.com/read/28223052/lung-transplant-mortality-is-improving-in-recipients-with-a-lung-allocation-score-in-the-upper-quartile
#20
Todd C Crawford, Joshua C Grimm, J Trent Magruder, Jinny Ha, Christopher M Sciortino, Bo S Kim, Errol L Bush, John V Conte, Robert S Higgins, Ashish S Shah, Christian A Merlo
BACKGROUND: Since the introduction of the Lung Allocation Score (LAS), the mean LAS has risen. Still, it remains uncertain whether mortality has improved in the most severely ill lung transplant recipients over this time period. METHODS: Using the United Network for Organ Sharing database, we identified 3,548 adult lung transplant recipients from May 4, 2005, to March 31, 2014, with a match-time LAS in the upper quartile (>75th%ile). We divided this population across three eras: 1 = May 4, 2005, to December 31, 2008 (n = 1,280); 2 = January 1, 2009, to December 31, 2011 (n = 1,266); and 3 = January 1, 2012, to March 31, 2014 (n = 1,002)...
February 18, 2017: Annals of Thoracic Surgery
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