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Graph Theory

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https://www.readbyqxmd.com/read/28524033/-procedural-analysis-of-acid-base-balance-disorder-case-serials-in-4-patents
#1
Chunyuan Ma, Guijie Wang
OBJECTIVE: To establish the standardization process of acid-base balance analysis, analyze cases of acid-base balance disorder with the aid of acid-base balance coordinate graph. METHODS: The acid-base balance theory were reviewed systematically on recent research progress, and the important concepts, definitions, formulas, parameters, regularity and inference in the analysis of acid-base balance were studied. The analysis of acid-base balance disordered processes and steps were figured...
May 2017: Zhonghua Wei Zhong Bing Ji Jiu Yi Xue
https://www.readbyqxmd.com/read/28522029/multi-formation-control-of-nonlinear-leader-following-multi-agent-systems
#2
Tao Han, Zhi-Hong Guan, Ming Chi, Bin Hu, Tao Li, Xian-He Zhang
This paper deals with the multi-formation control problem for nonlinear leader-following multi-agent systems. Both the fixed topology case and the switching topology case are considered. The neighbor-based multi-formation control protocols are proposed under the assumption that for one subgroup, the total information received from other subgroups is zero. Then, based on the Lyapunov stability theory combined with the algebraic graph theory, sufficient conditions are established to ensure that the leader-following multi-agent systems with nonlinear dynamics can reach and maintain the desired multi-formation control...
May 15, 2017: ISA Transactions
https://www.readbyqxmd.com/read/28520668/structural-connectivity-related-to-persistent-symptoms-after-mild-tbi-in-adolescents-and-response-to-aerobic-training-preliminary-investigation
#3
Weihong Yuan, Shari L Wade, Catherine Quatman-Yates, Jason A Hugentobler, Paul J Gubanich, Brad G Kurowski
OBJECTIVE: To quantify structural connectivity abnormalities in adolescents with mild traumatic brain injury (mTBI) and to investigate connectivity changes following aerobic training using graph theory and diffusion tensor imaging tractography. SETTING: Outpatient research setting. PARTICIPANTS: Twenty-two children (age: 15.83 ± 1.77 years, 10 females) with 4 to 16 weeks of persistent symptoms after mTBI and a matched healthy comparison group...
May 17, 2017: Journal of Head Trauma Rehabilitation
https://www.readbyqxmd.com/read/28515708/disrupted-structural-and-functional-networks-and-their-correlation-with-alertness-in-right-temporal-lobe-epilepsy-a-graph-theory-study
#4
Wenyu Jiang, Jianping Li, Xuemei Chen, Wei Ye, Jinou Zheng
Previous studies have shown that temporal lobe epilepsy (TLE) involves abnormal structural or functional connectivity in specific brain areas. However, limited comprehensive studies have been conducted on TLE associated changes in the topological organization of structural and functional networks. Additionally, epilepsy is associated with impairment in alertness, a fundamental component of attention. In this study, structural networks were constructed using diffusion tensor imaging tractography, and functional networks were obtained from resting-state functional MRI temporal series correlations in 20 right temporal lobe epilepsy (rTLE) patients and 19 healthy controls...
2017: Frontiers in Neurology
https://www.readbyqxmd.com/read/28499176/brain-networks-structural-realism-and-local-approaches-to-the-scientific-realism-debate
#5
Karen Yan, Jonathon Hricko
We examine recent work in cognitive neuroscience that investigates brain networks. Brain networks are characterized by the ways in which brain regions are functionally and anatomically connected to one another. Cognitive neuroscientists use various noninvasive techniques (e.g., fMRI) to investigate these networks. They represent them formally as graphs. And they use various graph theoretic techniques to analyze them further. We distinguish between knowledge of the graph theoretic structure of such networks (structural knowledge) and knowledge of what instantiates that structure (nonstructural knowledge)...
May 9, 2017: Studies in History and Philosophy of Biological and Biomedical Sciences
https://www.readbyqxmd.com/read/28491032/topological-filtering-of-dynamic-functional-brain-networks-unfolds-informative-chronnectomics-a-novel-data-driven-thresholding-scheme-based-on-orthogonal-minimal-spanning-trees-omsts
#6
Stavros I Dimitriadis, Christos Salis, Ioannis Tarnanas, David E Linden
The human brain is a large-scale system of functionally connected brain regions. This system can be modeled as a network, or graph, by dividing the brain into a set of regions, or "nodes," and quantifying the strength of the connections between nodes, or "edges," as the temporal correlation in their patterns of activity. Network analysis, a part of graph theory, provides a set of summary statistics that can be used to describe complex brain networks in a meaningful way. The large-scale organization of the brain has features of complex networks that can be quantified using network measures from graph theory...
2017: Frontiers in Neuroinformatics
https://www.readbyqxmd.com/read/28486817/altered-network-topology-in-patients-with-primary-brain-tumors-after-fractionated-radiotherapy
#7
Naeim Bahrami, Tyler M Seibert, Roshan Karunamuni, Hauke Bartsch, AnithaPriya Krishna, Nikdokht Farid, Jona A Hattangadi-Gluth, Carrie R McDonald
Radiation therapy (RT) is a critical treatment modality for patients with brain tumors, though it can cause adverse effects. Recent data suggests that brain RT is associated with dose-dependent cortical atrophy which could disrupt neocortical networks. This study examines whether brain RT affects structural network properties in brain tumor patients. We applied graph theory to MRI-derived cortical thickness estimates of 54 brain tumor patients before and after RT. Cortical surfaces were parcellated into 68 regions and correlation matrices were created for patients pre- and post-RT...
May 9, 2017: Brain Connectivity
https://www.readbyqxmd.com/read/28479745/computational-study-of-hub-microrna-in-human-cardiac-diseases
#8
Remya Krishnan, Achuthsankar S Nair, Pawan K Dhar
MicroRNAs (miRNAs) are small non-coding RNAs ~22 nucleotides long that do not encode for proteins but have been reported to influence gene expression in normal and abnormal health conditions. Though a large body of scientific literature on miRNAs exists, their network level profile linking molecules with their corresponding phenotypes, is less explored. Here, we studied a network of 191 human miRNAs reported to play a role in 30 human cardiac diseases. Our aim was to study miRNA network properties like hubness and preferred associations, using data mining, network graph theory and statistical analysis...
2017: Bioinformation
https://www.readbyqxmd.com/read/28477207/from-protein-protein-interactions-to-protein-co-expression-networks-a-new-perspective-to-evaluate-large-scale-proteomic-data
#9
REVIEW
Danila Vella, Italo Zoppis, Giancarlo Mauri, Pierluigi Mauri, Dario Di Silvestre
The reductionist approach of dissecting biological systems into their constituents has been successful in the first stage of the molecular biology to elucidate the chemical basis of several biological processes. This knowledge helped biologists to understand the complexity of the biological systems evidencing that most biological functions do not arise from individual molecules; thus, realizing that the emergent properties of the biological systems cannot be explained or be predicted by investigating individual molecules without taking into consideration their relations...
December 2017: EURASIP Journal on Bioinformatics & Systems Biology
https://www.readbyqxmd.com/read/28475710/an-efficient-graph-kernel-method-for-non-coding-rna-functional-prediction
#10
Nicolò Navarin, Fabrizio Costa
Motivation: The importance of RNA protein-coding gene regulation is by now well appreciated. Noncoding RNAs (ncRNAs) are known to regulate gene expression at practically every stage, ranging from chromatin packaging to mRNA translation. However the functional characterization of specific instances remains a challenging task in genome scale settings. For this reason, automatic annotation approaches are of interest. Existing computational methods are either efficient but non accurate or they offer increased precision, but present scalability problems...
May 5, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28474917/scaling-theory-of-the-anderson-transition-in-random-graphs-ergodicity-and-universality
#11
I García-Mata, O Giraud, B Georgeot, J Martin, R Dubertrand, G Lemarié
We study the Anderson transition on a generic model of random graphs with a tunable branching parameter 1<K<2, through large scale numerical simulations and finite-size scaling analysis. We find that a single transition separates a localized phase from an unusual delocalized phase that is ergodic at large scales but strongly nonergodic at smaller scales. In the critical regime, multifractal wave functions are located on a few branches of the graph. Different scaling laws apply on both sides of the transition: a scaling with the linear size of the system on the localized side, and an unusual volumic scaling on the delocalized side...
April 21, 2017: Physical Review Letters
https://www.readbyqxmd.com/read/28474385/disrupted-topological-organization-of-structural-networks-revealed-by-probabilistic-diffusion-tractography-in-tourette-syndrome-children
#12
Hongwei Wen, Yue Liu, Islem Rekik, Shengpei Wang, Jishui Zhang, Yue Zhang, Yun Peng, Huiguang He
Tourette syndrome (TS) is a childhood-onset neurobehavioral disorder. Although previous TS studies revealed structural abnormalities in distinct corticobasal ganglia circuits, the topological alterations of the whole-brain white matter (WM) structural networks remain poorly understood. Here, we used diffusion MRI probabilistic tractography and graph theoretical analysis to investigate the topological organization of WM networks in 44 drug-naive TS children and 41 age- and gender-matched healthy children. The WM networks were constructed by estimating inter-regional connectivity probability and the topological properties were characterized using graph theory...
May 5, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/28474365/tackling-variability-a-multicenter-study-to-provide-a-gold-standard-network-approach-for-frontotemporal-dementia
#13
Lucas Sedeño, Olivier Piguet, Sofía Abrevaya, Horacio Desmaras, Indira García-Cordero, Sandra Baez, Laura Alethia de la Fuente, Pablo Reyes, Sicong Tu, Sebastian Moguilner, Nicolas Lori, Ramon Landin-Romero, Diana Matallana, Andrea Slachevsky, Teresa Torralva, Dante Chialvo, Fiona Kumfor, Adolfo M García, Facundo Manes, John R Hodges, Agustin Ibanez
Biomarkers represent a critical research area in neurodegeneration disease as they can contribute to studying potential disease-modifying agents, fostering timely therapeutic interventions, and alleviating associated financial costs. Functional connectivity (FC) analysis represents a promising approach to identify early biomarkers in specific diseases. Yet, virtually no study has tested whether potential FC biomarkers prove to be reliable and reproducible across different centers. As such, their implementation remains uncertain due to multiple sources of variability across studies: the numerous international centers capable conducting FC research vary in their scanning equipment and their samples' socio-cultural background, and, more troublingly still, no gold-standard method exists to analyze FC...
May 5, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/28473170/distributed-finite-time-tracking-for-a-team-of-planar-flexible-spacecraft
#14
Ti Chen, Hao Wen, Haiyan Hu, Dongping Jin
The paper presents a distributed finite-time controller for multiple under-actuated spacecraft with flexible appendages to track a virtual leader with stationary states under an undirected communication graph. Each spacecraft of concern is simplified as a free-floating hub-beam system, which is an under-actuated Euler-Lagrange system by nature since only the hub is driven. In the undirected communication graph, it is assumed that only one spacecraft can receive the information from the virtual leader. A distributed finite-time control law is presented for such a multi-agent system...
May 1, 2017: ISA Transactions
https://www.readbyqxmd.com/read/28468232/a-pilot-study-on-brain-plasticity-of-functional-connectivity-modulated-by-cognitive-training-in-mild-alzheimer-s-disease-and-mild-cognitive-impairment
#15
Francesco Barban, Matteo Mancini, Mara Cercignani, Fulvia Adriano, Roberta Perri, Roberta Annicchiarico, Giovanni Augusto Carlesimo, Claudia Ricci, Maria Giovanna Lombardi, Valeria Teodonno, Laura Serra, Giovanni Giulietti, Lucia Fadda, Alessia Federici, Carlo Caltagirone, Marco Bozzali
Alzheimer's disease (AD) alters the functional connectivity of the default mode network (DMN) but also the topological properties of the functional connectome. Cognitive training (CT) is a tool to slow down AD progression and is likely to impact on functional connectivity. In this pilot study, we aimed at investigating brain functional changes after a period of CT and active control (AC) in a group of 26 subjects with mild AD (mAD), 26 with amnestic mild cognitive impairment (aMCI), and a control group of 29 healthy elderly (HE) people...
April 29, 2017: Brain Sciences
https://www.readbyqxmd.com/read/28466007/dissect-the-dynamic-molecular-circuits-of-cell-cycle-control-through-network-evolution-model
#16
Yang Peng, Paul Scott, Ruikang Tao, Hua Wang, Yan Wu, Guang Peng
The molecular circuits of cell cycle control serve as a key hub to integrate from endogenous and environmental signals into a robust biological decision driving cell growth and division. Dysfunctional cell cycle control is highlighted in a wide spectrum of human cancers. More importantly the mainstay anticancer treatment such as radiation therapy and chemotherapy targets the hallmark of uncontrolled cell proliferation in cancer cells by causing DNA damage, cell cycle arrest, and cell death. Given the functional importance of cell cycle control, the regulatory mechanisms that drive the cell division have been extensively investigated in a huge number of studies by conventional single-gene approaches...
2017: BioMed Research International
https://www.readbyqxmd.com/read/28448499/when-do-correlations-increase-with-firing-rates-in-recurrent-networks
#17
Andrea K Barreiro, Cheng Ly
A central question in neuroscience is to understand how noisy firing patterns are used to transmit information. Because neural spiking is noisy, spiking patterns are often quantified via pairwise correlations, or the probability that two cells will spike coincidentally, above and beyond their baseline firing rate. One observation frequently made in experiments, is that correlations can increase systematically with firing rate. Theoretical studies have determined that stimulus-dependent correlations that increase with firing rate can have beneficial effects on information coding; however, we still have an incomplete understanding of what circuit mechanisms do, or do not, produce this correlation-firing rate relationship...
April 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28438673/infants-and-adults-have-similar-regional-functional-brain-organization-for-the-perception-of-emotions
#18
N Rotem-Kohavi, T F Oberlander, N Virji-Babul
An infant's ability to perceive emotional facial expressions is critical for developing social skills. Infants are tuned to faces from early in life, however the functional organization of the brain that supports the processing of emotional faces in infants is still not well understood. We recorded electroencephalography (EEG) brain responses in 8-10 month old infants and adults and applied graph theory analysis on the functional connections to compare the network organization at the global and the regional levels underlying the perception of negative and positive dynamic facial expressions (happiness and sadness)...
April 21, 2017: Neuroscience Letters
https://www.readbyqxmd.com/read/28438464/association-of-medial-prefrontal-cortex-connectivity-with-consciousness-level-and-its-outcome-in-patients-with-acquired-brain-injury
#19
Xiaoyan Liu, Jingqi Li, Jian Gao, Zhen Zhou, Fanxia Meng, Gang Pan, Benyan Luo
Medial prefrontal cortex (mPFC) is usually known for participating in virtually all self related processing. However, few have investigated the role of mPFC in modulating conscious awareness. This study aimed to depict the relationship between the mPFC connectivity and the severity and outcome of the disorders of consciousness (DOC) among patients with acquired brain injury. Thirty-four patients with DOC (17 in a minimally conscious state and 17 in an unresponsive wakefulness syndrome/vegetative state) and 11 healthy controls were recruited, underwent clinical assessment and resting-state functional MRI scan, and were further followed up to evaluate recovery outcome using the Glasgow Outcome Scale...
April 21, 2017: Journal of Clinical Neuroscience: Official Journal of the Neurosurgical Society of Australasia
https://www.readbyqxmd.com/read/28429381/the-structural-connectome-of-children-with-traumatic-brain-injury
#20
Marsh Königs, L W Ernest van Heurn, Roel Bakx, R Jeroen Vermeulen, J Carel Goslings, Bwee Tien Poll-The, Marleen van der Wees, Coriene E Catsman-Berrevoets, Jaap Oosterlaan, Petra J W Pouwels
This study aimed to investigate the impact of mild to severe pediatric TBI on the structural connectome. Children aged 8-14 years with trauma control (TC) injury (n = 27) were compared to children with mild TBI and risk factors for complicated TBI (mild(RF+) , n = 20) or moderate/severe TBI (n = 16) at 2.8 years post-injury. Probabilistic tractography on diffusion tensor imaging data was used in combination with graph theory to study structural connectivity. Functional outcome was measured using neurocognitive tests and parent and teacher questionnaires for behavioral functioning...
April 21, 2017: Human Brain Mapping
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