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https://www.readbyqxmd.com/read/27922640/brain-network-reorganization-differs-in-response-to-stress-in-rats-genetically-predisposed-to-depression-and-stress-resilient-rats
#1
N Gass, R Becker, A J Schwarz, W Weber-Fahr, C Clemm von Hohenberg, B Vollmayr, A Sartorius
Treatment-resistant depression (TRD) remains a pressing clinical problem. Optimizing treatment requires better definition of the specificity of the involved brain circuits. The rat strain bred for negative cognitive state (NC) represents a genetic animal model of TRD with high face, construct and predictive validity. Vice versa, the positive cognitive state (PC) strain represents a stress-resilient phenotype. Although NC rats show depressive-like behavior, some symptoms such as anhedonia require an external trigger, i...
December 6, 2016: Translational Psychiatry
https://www.readbyqxmd.com/read/27920976/resting-state-theta-band-connectivity-and-graph-analysis-in-generalized-social-anxiety-disorder
#2
Mengqi Xing, Reza Tadayonnejad, Annmarie MacNamara, Olusola Ajilore, Julia DiGangi, K Luan Phan, Alex Leow, Heide Klumpp
BACKGROUND: Functional magnetic resonance imaging (fMRI) resting-state studies show generalized social anxiety disorder (gSAD) is associated with disturbances in networks involved in emotion regulation, emotion processing, and perceptual functions, suggesting a network framework is integral to elucidating the pathophysiology of gSAD. However, fMRI does not measure the fast dynamic interconnections of functional networks. Therefore, we examined whole-brain functional connectomics with electroencephalogram (EEG) during resting-state...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/27919750/mapping-the-functional-connectome-in-traumatic-brain-injury-what-can-graph-metrics-tell-us
#3
Karen Caeyenberghs, Helena Verhelst, Adam Clemente, Peter H Wilson
OBJECTIVE: Traumatic brain injury (TBI) is associated with cognitive and motor deficits, and poses a significant personal, societal, and economic burden. One mechanism by which TBI is thought to affect cognition and behaviour is through changes in functional connectivity. Graph theory is a powerful framework for quantifying topological features of neuroimaging-derived functional networks. The objective of this paper is to review studies examining functional connectivity in TBI with an emphasis on graph theoretical analysis that is proving to be valuable in uncovering network abnormalities in this condition...
December 2, 2016: NeuroImage
https://www.readbyqxmd.com/read/27896314/graph-theoretic-and-motif-analyses-of-the-hippocampal-neuron-type-potential-connectome
#4
Christopher L Rees, Diek W Wheeler, David J Hamilton, Charise M White, Alexander O Komendantov, Giorgio A Ascoli
We computed the potential connectivity map of all known neuron types in the rodent hippocampal formation by supplementing scantly available synaptic data with spatial distributions of axons and dendrites from the open-access knowledge base Hippocampome.org. The network that results from this endeavor, the broadest and most complete for a mammalian cortical region at the neuron-type level to date, contains more than 3200 connections among 122 neuron types across six subregions. Analyses of these data using graph theory metrics unveil the fundamental architectural principles of the hippocampal circuit...
November 2016: ENeuro
https://www.readbyqxmd.com/read/27891090/disrupted-nodal-and-hub-organization-account-for-brain-network-abnormalities-in-parkinson-s-disease
#5
Yuko Koshimori, Sang-Soo Cho, Marion Criaud, Leigh Christopher, Mark Jacobs, Christine Ghadery, Sarah Coakeley, Madeleine Harris, Romina Mizrahi, Clement Hamani, Anthony E Lang, Sylvain Houle, Antonio P Strafella
The recent application of graph theory to brain networks promises to shed light on complex diseases such as Parkinson's disease (PD). This study aimed to investigate functional changes in sensorimotor and cognitive networks in Parkinsonian patients, with a focus on inter- and intra-connectivity organization in the disease-associated nodal and hub regions using the graph theoretical analyses. Resting-state functional MRI data of a total of 65 participants, including 23 healthy controls (HCs) and 42 patients, were investigated in 120 nodes for local efficiency, betweenness centrality, and degree...
2016: Frontiers in Aging Neuroscience
https://www.readbyqxmd.com/read/27880802/algebraic-topology-of-multi-brain-connectivity-networks-reveals-dissimilarity-in-functional-patterns-during-spoken-communications
#6
Bosiljka Tadić, Miroslav Andjelković, Biljana Mileva Boshkoska, Zoran Levnajić
Human behaviour in various circumstances mirrors the corresponding brain connectivity patterns, which are suitably represented by functional brain networks. While the objective analysis of these networks by graph theory tools deepened our understanding of brain functions, the multi-brain structures and connections underlying human social behaviour remain largely unexplored. In this study, we analyse the aggregate graph that maps coordination of EEG signals previously recorded during spoken communications in two groups of six listeners and two speakers...
2016: PloS One
https://www.readbyqxmd.com/read/27875170/towards-unambiguous-edge-bundling-investigating-confluent-drawings-for-network-visualization
#7
Benjamin Bach, Nathalie Henry Riche, Christophe Hurter, Kim Marriott, Tim Dwyer
In this paper, we investigate Confluent Drawings (CD), a technique for bundling edges in node-link diagrams based on network connectivity. Edge-bundling techniques are designed to reduce edge clutter in node-link diagrams by coalescing lines into common paths or bundles. Unfortunately, traditional bundling techniques introduce ambiguity since edges are only bundled by spatial proximity, rather than network connectivity; following an edge from its source to its target can lead to the perception of incorrect connectivity if edges are not clearly separated within the bundles...
January 2017: IEEE Transactions on Visualization and Computer Graphics
https://www.readbyqxmd.com/read/27870395/sex-differences-in-associations-of-arginine-vasopressin-and-oxytocin-with-resting-state-functional-brain-connectivity
#8
Leah H Rubin, Li Yao, Sarah K Keedy, James L Reilly, Jeffrey R Bishop, C Sue Carter, Hossein Pournajafi-Nazarloo, Lauren L Drogos, Carol A Tamminga, Godfrey D Pearlson, Matcheri S Keshavan, Brett A Clementz, Scot K Hill, Wei Liao, Gong-Jun Ji, Su Lui, John A Sweeney
Oxytocin (OT) and arginine vasopressin (AVP) exert robust and sexually dimorphic influences on cognition and emotion. How these hormones regulate relevant functional brain systems is not well understood. OT and AVP serum concentrations were assayed in 60 healthy individuals (36 women). Brain functional networks assessed with resting-state functional magnetic resonance imaging (rs-fMRI) were constructed with graph theory-based approaches that characterize brain networks as connected nodes. Sex differences were demonstrated in rs-fMRI...
January 2, 2017: Journal of Neuroscience Research
https://www.readbyqxmd.com/read/27865921/community-detection-in-weighted-brain-connectivity-networks-beyond-the-resolution-limit
#9
Carlo Nicolini, Cécile Bordier, Angelo Bifone
Graph theory provides a powerful framework to investigate brain functional connectivity networks and their modular organization. However, most graph-based methods suffer from a fundamental resolution limit that may have affected previous studies and prevented detection of modules, or "communities", that are smaller than a specific scale. Surprise, a resolution-limit-free function rooted in discrete probability theory, has been recently introduced and applied to brain networks, revealing a wide size-distribution of functional modules (Nicolini and Bifone, 2016), in contrast with many previous reports...
November 16, 2016: NeuroImage
https://www.readbyqxmd.com/read/27865452/cyp2a6-genetic-variation-alters-striatal-cingulate-circuits-network-hubs-and-executive-processing-in-smokers
#10
Sufang Li, Yihong Yang, Ewa Hoffmann, Rachel F Tyndale, Elliot A Stein
BACKGROUND: Variation in the CYP2A6 gene alters the rate of nicotine metabolic inactivation and is associated with smoking behaviors and cessation success rates. The underlying neurobiological mechanisms of this genetic influence are unknown. METHODS: Intrinsic functional connectivity strength, a whole-brain, data-driven, graph theory-based method, was applied to resting-state functional magnetic resonance imaging data in 66 smokers and 92 nonsmokers. A subset of subjects (n = 23/20; smokers/nonsmokers) performed the monetary incentive delay task, probing reward anticipation, and a go/no-go task, probing response inhibition, on two occasions, in the presence and absence of a nicotine patch...
September 28, 2016: Biological Psychiatry
https://www.readbyqxmd.com/read/27859960/cognitive-phenotypes-in-parkinson-s-disease-differ-in-terms-of-brain-network-organization-and-connectivity
#11
Renaud Lopes, Christine Delmaire, Luc Defebvre, Anja J Moonen, Annelien A Duits, Paul Hofman, Albert F G Leentjens, Kathy Dujardin
Cognitive deficits are common in Parkinson's disease and we suspect that dysfunctions of connected brain regions can be the source of these deficits. The aim of the present study was to investigate changes in whole-brain intrinsic functional connectivity according to differences in cognitive profiles in Parkinson's disease. 119 participants were enrolled and divided into four groups according to their cognitive phenotypes (determined by a cluster analysis): (i) 31 cognitively intact patients (G1), (ii) 31 patients with only slight mental slowing (G2), (iii) 43 patients with mild to moderate deficits mainly in executive functions (G3), (iv) 14 patients with severe deficits in all cognitive domains (G4-5)...
November 17, 2016: Human Brain Mapping
https://www.readbyqxmd.com/read/27832100/wiring-economy-of-pyramidal-cells-in-the-juvenile-rat-somatosensory-cortex
#12
Laura Anton-Sanchez, Concha Bielza, Pedro Larrañaga, Javier DeFelipe
Ever since Cajal hypothesized that the structure of neurons is designed in such a way as to save space, time and matter, numerous researchers have analyzed wiring properties at different scales of brain organization. Here we test the hypothesis that individual pyramidal cells, the most abundant type of neuron in the cerebral cortex, optimize brain connectivity in terms of wiring length. In this study, we analyze the neuronal wiring of complete basal arborizations of pyramidal neurons in layer II, III, IV, Va, Vb and VI of the hindlimb somatosensory cortical region of postnatal day 14 rats...
2016: PloS One
https://www.readbyqxmd.com/read/27826224/graph-theory-based-brain-connectivity-for-automatic-classification-of-multiple-sclerosis-clinical-courses
#13
Gabriel Kocevar, Claudio Stamile, Salem Hannoun, François Cotton, Sandra Vukusic, Françoise Durand-Dubief, Dominique Sappey-Marinier
Purpose: In this work, we introduce a method to classify Multiple Sclerosis (MS) patients into four clinical profiles using structural connectivity information. For the first time, we try to solve this question in a fully automated way using a computer-based method. The main goal is to show how the combination of graph-derived metrics with machine learning techniques constitutes a powerful tool for a better characterization and classification of MS clinical profiles. Materials and Methods: Sixty-four MS patients [12 Clinical Isolated Syndrome (CIS), 24 Relapsing Remitting (RR), 24 Secondary Progressive (SP), and 17 Primary Progressive (PP)] along with 26 healthy controls (HC) underwent MR examination...
2016: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/27824356/altered-gray-matter-organization-in-children-and-adolescents-with-adhd-a-structural-covariance-connectome-study
#14
K R Griffiths, S M Grieve, M R Kohn, S Clarke, L M Williams, M S Korgaonkar
Although multiple studies have reported structural deficits in multiple brain regions in attention-deficit hyperactivity disorder (ADHD), we do not yet know if these deficits reflect a more systematic disruption to the anatomical organization of large-scale brain networks. Here we used a graph theoretical approach to quantify anatomical organization in children and adolescents with ADHD. We generated anatomical networks based on covariance of gray matter volumes from 92 regions across the brain in children and adolescents with ADHD (n=34) and age- and sex-matched healthy controls (n=28)...
November 8, 2016: Translational Psychiatry
https://www.readbyqxmd.com/read/27804899/disrupted-resting-state-brain-network-properties-in-obesity-decreased-global-and-putaminal-cortico-striatal-network-efficiency
#15
K Baek, L S Morris, P Kundu, V Voon
BACKGROUND: The efficient organization and communication of brain networks underlie cognitive processing and their disruption can lead to pathological behaviours. Few studies have focused on whole-brain networks in obesity and binge eating disorder (BED). Here we used multi-echo resting-state functional magnetic resonance imaging (rsfMRI) along with a data-driven graph theory approach to assess brain network characteristics in obesity and BED. METHOD: Multi-echo rsfMRI scans were collected from 40 obese subjects (including 20 BED patients) and 40 healthy controls and denoised using multi-echo independent component analysis (ME-ICA)...
November 2, 2016: Psychological Medicine
https://www.readbyqxmd.com/read/27798379/changes-in-structural-connectivity-following-a-cognitive-intervention-in-children-with-traumatic-brain-injury-a-pilot-study
#16
Weihong Yuan, Amery Treble-Barna, McKay M Sohlberg, Beth Harn, Shari L Wade
Objective Structural connectivity analysis based on graph theory and diffusion tensor imaging tractography is a novel method that quantifies the topological characteristics in the brain network. This study aimed to examine structural connectivity changes following the Attention Intervention and Management (AIM) program designed to improve attention and executive function (EF) in children with traumatic brain injury (TBI). Methods Seventeen children with complicated mild to severe TBI (13.66 ± 2.68 years; >12 months postinjury) completed magnetic resonance imaging (MRI) and neurobehavioral measures at time 1, 10 of whom completed AIM and assessment at time 2...
October 25, 2016: Neurorehabilitation and Neural Repair
https://www.readbyqxmd.com/read/27777556/attention-performance-measured-by-attention-network-test-is-correlated-with-global-and-regional-efficiency-of-structural-brain-networks
#17
Min Xiao, Haitao Ge, Budhachandra S Khundrakpam, Junhai Xu, Gleb Bezgin, Yuan Leng, Lu Zhao, Yuchun Tang, Xinting Ge, Seun Jeon, Wenjian Xu, Alan C Evans, Shuwei Liu
Functional neuroimaging studies have indicated the involvement of separate brain areas in three distinct attention systems: alerting, orienting, and executive control (EC). However, the structural correlates underlying attention remains unexplored. Here, we utilized graph theory to examine the neuroanatomical substrates of the three attention systems measured by attention network test (ANT) in 65 healthy subjects. White matter connectivity, assessed with diffusion tensor imaging deterministic tractography was modeled as a structural network comprising 90 nodes defined by the automated anatomical labeling (AAL) template...
2016: Frontiers in Behavioral Neuroscience
https://www.readbyqxmd.com/read/27776135/top-down-network-effective-connectivity-in-abstinent-substance-dependent-individuals
#18
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
https://www.readbyqxmd.com/read/27768718/a-composite-network-approach-for-assessing-multi-species-connectivity-an-application-to-road-defragmentation-prioritisation
#19
Luca Santini, Santiago Saura, Carlo Rondinini
One of the biggest challenges in large-scale conservation is quantifying connectivity at broad geographic scales and for a large set of species. Because connectivity analyses can be computationally intensive, and the planning process quite complex when multiple taxa are involved, assessing connectivity at large spatial extents for many species turns to be often intractable. Such limitation results in that conducted assessments are often partial by focusing on a few key species only, or are generic by considering a range of dispersal distances and a fixed set of areas to connect that are not directly linked to the actual spatial distribution or mobility of particular species...
2016: PloS One
https://www.readbyqxmd.com/read/27760177/discriminating-the-difference-between-remote-and-close-association-with-relation-to-white-matter-structural-connectivity
#20
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
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