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Xueling Suo, Du Lei, Fuqin Chen, Min Wu, Lei Li, Ling Sun, Xiaoli Wei, Hongyan Zhu, Lingjiang Li, Graham J Kemp, Qiyong Gong
Purpose To use diffusion-tensor (DT) imaging and graph theory approaches to explore the brain structural connectome in pediatric posttraumatic stress disorder (PTSD). Materials and Methods This study was approved by the relevant research ethics committee, and all participants' parents or guardians provided informed consent. Twenty-four pediatric patients with PTSD and 23 control subjects exposed to trauma but without PTSD were recruited after the 2008 Sichuan earthquake. The structural connectome was constructed by using DT imaging tractography and thresholding the mean fractional anisotropy of 90 brain regions to yield 90 × 90 partial correlation matrixes...
October 25, 2016: Radiology
Michael F Regner, Naomi Saenz, Keeran Maharajh, Dorothy J Yamamoto, Brianne Mohl, Korey Wylie, Jason Tregellas, Jody Tanabe
OBJECTIVE: We hypothesized that compared to healthy controls, long-term abstinent substance dependent individuals (SDI) will differ in their effective connectivity between large-scale brain networks and demonstrate increased directional information from executive control to interoception-, reward-, and habit-related networks. In addition, using graph theory to compare network efficiencies we predicted decreased small-worldness in SDI compared to controls. METHODS: 50 SDI and 50 controls of similar sex and age completed psychological surveys and resting state fMRI...
2016: PloS One
V B Puetz, D Parker, N Kohn, B Dahmen, R Verma, K Konrad
Childhood maltreatment is associated with alterations in neural architecture that potentially put these children at increased risk for psychopathology. Alterations in white matter (WM) tracts have been reported, however no study to date has investigated WM connectivity in brain networks in maltreated children to quantify global and local abnormalities through graph theoretical analyses of DTI data. We aimed for a multilevel investigation examining the DTI-based structural connectome and its associations with basal cortisol levels of 25 children with documented maltreatment experiences before age 3, and 24 matched controls (age: 10...
October 24, 2016: Human Brain Mapping
Chinglin Wu, Suyu Zhong, Hsuehchih Chen
Remote association is a core ability that influences creative output. In contrast to close association, remote association is commonly agreed to be connected with more original and unique concepts. However, although existing studies have discovered that creativity is closely related to the white-matter structure of the brain, there are no studies that examine the relevance between the connectivity efficiencies and creativity of the brain regions from the perspective of networks. Consequently, this study constructed a brain white matter network structure that consisted of cerebral tissues and nerve fibers and used graph theory to analyze the connection efficiencies among the network nodes, further illuminating the differences between remote and close association in relation to the connectivity of the brain network...
2016: PloS One
Sunkyu Yu, Xianji Piao, Jiho Hong, Namkyoo Park
Disorder plays a critical role in signal transport by controlling the correlation of a system, as demonstrated in various complex networks. In wave physics, disordered potentials suppress wave transport, because of their localized eigenstates, from the interference between multiple scattering paths. Although the variation of localization with tunable disorder has been intensively studied as a bridge between ordered and disordered media, the general trend of disorder-enhanced localization has remained unchanged, and the existence of complete delocalization in highly disordered potentials has not been explored...
October 2016: Science Advances
Zong-Wen Wei, Bing-Hong Wang
Some real-world networks are shown to be fractal or self-similar. It is widespread that such a phenomenon originates from the repulsion between hubs or disassortativity. Here we show that this common belief fails to capture the causality. Our key insight to address it is to pinpoint links critical to fractality. Those links with small edge betweenness centrality (BC) constitute a special architecture called fractal reference system, which gives birth to the fractal structure of those reported networks. In contrast, a small amount of links with high BC enable small-world effects, hiding the intrinsic fractality...
September 2016: Physical Review. E
Gadi Fibich
We consider the diffusion of new products in social networks, where consumers who adopt the product can later "recover" and stop influencing others to adopt the product. We show that the diffusion is not described by the susceptible-infected-recovered (SIR) model, but rather by a new model, the Bass-SIR model, which combines the Bass model for diffusion of new products with the SIR model for epidemics. The phase transition of consumers from nonadopters to adopters is described by a nonstandard Kolmogorov-Johnson-Mehl-Avrami model, in which clusters growth is limited by adopters' recovery...
September 2016: Physical Review. E
Taichi Haruna, Yuuya Fujiki
We investigate the influence of the small-world topology on the composition of information flow on networks. By appealing to the combinatorial Hodge theory, we decompose information flow generated by random threshold networks on the Watts-Strogatz model into three components: gradient, harmonic and curl flows. The harmonic and curl flows represent globally circular and locally circular components, respectively. The Watts-Strogatz model bridges the two extreme network topologies, a lattice network and a random network, by a single parameter that is the probability of random rewiring...
2016: Frontiers in Neural Circuits
Dongyuan Zhao
No abstract text is available yet for this article.
September 28, 2016: ACS Central Science
Weihong Yuan, Artur Meller, Joshua S Shimony, Tiffany Nash, Blaise V Jones, Scott K Holland, Mekibib Altaye, Holly Barnard, Jannel Phillips, Stephanie Powell, Robert C McKinstry, David D Limbrick, Akila Rajagopal, Francesco T Mangano
Neuroimaging research in surgically treated pediatric hydrocephalus patients remains challenging due to the artifact caused by programmable shunt. Our previous study has demonstrated significant alterations in the whole brain white matter structural connectivity based on diffusion tensor imaging (DTI) and graph theoretical analysis in children with hydrocephalus prior to surgery or in surgically treated children without programmable shunts. This study seeks to investigate the impact of brain injury on the topological features in the left hemisphere, contratelateral to the shunt placement, which will avoid the influence of shunt artifacts and makes further group comparisons feasible for children with programmable shunt valves...
2016: NeuroImage: Clinical
Daniel Romero, Oscar Camara, Frank Sachse, Rafael Sebastian
The specialised conducting tissues present in the ventricles are responsible for the fast distribution of the electrical impulse from the atrio-ventricular node to regions in the subendocardial myocardium. Characterisation of anatomical features of the specialised conducting tissues in the ventricles is highly challenging, in particular its most distal section, which is connected to the working myocardium via Purkinje-myocardial junctions. The goal of this work is to characterise the architecture of the distal section of the Purkinje network by differentiating Purkinje cells from surrounding tissue, performing a segmentation of Purkinje fibres at cellular scale, and mathematically describing its morphology and interconnections...
2016: PloS One
Lisa Brice, Nicole Gilroy, Gemma Dyer, Masura Kabir, Matt Greenwood, Stephen Larsen, John Moore, John Kwan, Mark Hertzberg, Louisa Brown, Megan Hogg, Gillian Huang, Jeff Tan, Christopher Ward, David Gottlieb, Ian Kerridge
PURPOSE: The aim of this qualitative study was to gain a rich understanding of the impact that haematopoietic stem cell transplantation (HSCT) has on long-term survivor's quality of life (QoL). METHOD: Participants included 441 survivors who had undergone HSCT for a malignant or non-malignant disease. Data were obtained by a questionnaire positing a single open-ended question asking respondents to list the three issues of greatest importance to their QoL in survivorship...
October 3, 2016: Supportive Care in Cancer: Official Journal of the Multinational Association of Supportive Care in Cancer
Iva Jestrović, James L Coyle, Subashan Perera, Ervin Sejdić
Consuming thicker fluids and swallowing in the chin-tuck position has been shown to be advantageous for some patients with neurogenic dysphagia who aspirate due to various causes. The anatomical changes caused by these therapeutic techniques are well known, but it is unclear whether these changes alter the cerebral processing of swallow-related sensorimotor activity. We sought to investigate the effect of increased fluid viscosity and chin-down posture during swallowing on brain networks. 55 healthy adults performed water, nectar-thick, and honey thick liquid swallows in the neutral and chin-tuck positions while EEG signals were recorded...
September 29, 2016: Brain Research
Edson Filho, Maurizio Bertollo, Gabriella Tamburro, Lorenzo Schinaia, Jonas Chatel-Goldman, Selenia di Fronso, Claudio Robazza, Silvia Comani
BACKGROUND: Research on cooperative behavior and the social brain exists, but little research has focused on real-time motor cooperative behavior and its neural correlates. In this proof of concept study, we explored the conceptual notion of shared and complementary mental models through EEG mapping of two brains performing a real-world interactive motor task of increasing difficulty. We used the recently introduced participative "juggling paradigm," and collected neuro-physiological and psycho-social data...
2016: PeerJ
Sanne C T Peeters, Ed H B M Gronenschild, Therese van Amelsvoort, Jim van Os, Machteld Marcelis, Rene Kahn, Durk Wiersma, Richard Bruggeman, Wiepke Cahn, Lieuwe de Haan, Carin Meijer, Inez Myin-Germeys
BACKGROUND: Previous research has shown that the human brain can be represented as a complex functional network that is characterized by specific topological properties, such as clustering coefficient, characteristic path length, and global/local efficiency. Patients with psychotic disorder may have alterations in these properties with respect to controls, indicating altered efficiency of network organization. This study examined graph theoretical changes in relation to differential genetic risk for the disorder and aimed to identify clinical correlates...
September 2016: Brain and Behavior
Zhongxiang Dai, Yu Chen, Junhua Li, Johnson Fam, Anastasios Bezerianos, Yu Sun
Numerous real-world systems can be modeled as networks. To date, most network studies have been conducted assuming stationary network characteristics. Many systems, however, undergo topological changes over time. Temporal networks, which incorporate time into conventional network models, are therefore more accurate representations of such dynamic systems. Here, we introduce a novel generalized analytical framework for temporal networks, which enables 1) robust evaluation of the efficiency of temporal information exchange using two new network metrics and 2) quantitative inspection of the temporal small-worldness...
September 29, 2016: Scientific Reports
Wei Li, Miao Wang, Wenzhen Zhu, Yuanyuan Qin, Yue Huang, Xi Chen
Functional brain connectivity is altered during the pathological processes of Alzheimer's disease (AD), but the specific evolutional rules are insufficiently understood. Resting-state functional magnetic resonance imaging indicates that the functional brain networks of individuals with AD tend to be disrupted in hub-like nodes, shifting from a small world architecture to a random profile. Here, we proposed a novel evolution model based on computational experiments to simulate the transition of functional brain networks from normal to AD...
September 28, 2016: Scientific Reports
Abdol Aziz O Ould Ismail, Ghoncheh Amouzandeh, Samuel C Grant
Diffusion tensor imaging (DTI) provides a unique contrast based on the restricted directionality of water movement in an anisotropic environment. As such, DTI-based tractography can be used to characterize and quantify the structural connectivity within neural tissue. Here, DTI-based connectivity within isolated abdominal ganglia of Aplysia californica (ABG) is analyzed using network theory. In addition to quantifying the regional physical proprieties of the fractional anisotropy and apparent diffusion coefficient, DTI tractography was used to probe inner-connections of local communities, yielding unweighted, undirected graphs that represent community structures...
September 19, 2016: Neuroscience
Hee-Jong Kim, Jeong-Hyeon Shin, Cheol E Han, Hee Jin Kim, Duk L Na, Sang Won Seo, Joon-Kyung Seong
Cortical thinning patterns in Alzheimer's disease (AD) have been widely reported through conventional regional analysis. In addition, the coordinated variance of cortical thickness in different brain regions has been investigated both at the individual and group network levels. In this study, we aim to investigate network architectural characteristics of a structural covariance network (SCN) in AD, and further to show that the structural covariance connectivity becomes disorganized across the brain regions in AD, while the normal control (NC) subjects maintain more clustered and consistent coordination in cortical atrophy variations...
2016: Frontiers in Neuroscience
Julie Boulanger Bertolus, Anne-Marie Mouly, Regina M Sullivan
As altricial infants gradually transition to adults, their proximate environment changes. In three short weeks, pups transition from a small world with the caregiver and siblings to a complex milieu rich in dangers as their environment expands. Such contrasting environments require different learning abilities and lead to distinct responses throughout development. Here, we will review some of the learned fear conditioned responses to threats in rats during their ontogeny, including behavioral and physiological measures that permit the assessment of learning and its supporting neurobiology from infancy through adulthood...
October 2016: Learning & Memory
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