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graph theory connectivity

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https://www.readbyqxmd.com/read/28531764/disrupted-resting-brain-graph-measures-in-individuals-at-high-risk-for-alcoholism
#1
Bharath Holla, Rajanikant Panda, Ganesan Venkatasubramanian, Bharat Biswal, Rose Dawn Bharath, Vivek Benegal
Familial susceptibility to alcoholism is likely to be linked to the externalizing diathesis seen in high-risk offspring from high-density alcohol use disorder (AUD) families. The present study aimed at comparing resting brain functional connectivity and their association with externalizing symptoms and alcoholism familial density in 40 substance-naive high-risk (HR) male offspring from high-density AUD families and 30 matched healthy low-risk (LR) males without a family history of substance dependence using graph theory-based network analysis...
May 14, 2017: Psychiatry Research
https://www.readbyqxmd.com/read/28520668/structural-connectivity-related-to-persistent-symptoms-after-mild-tbi-in-adolescents-and-response-to-aerobic-training-preliminary-investigation
#2
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
#3
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
#4
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
#5
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
#6
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
#7
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/28474385/disrupted-topological-organization-of-structural-networks-revealed-by-probabilistic-diffusion-tractography-in-tourette-syndrome-children
#8
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
#9
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/28468232/a-pilot-study-on-brain-plasticity-of-functional-connectivity-modulated-by-cognitive-training-in-mild-alzheimer-s-disease-and-mild-cognitive-impairment
#10
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/28438673/infants-and-adults-have-similar-regional-functional-brain-organization-for-the-perception-of-emotions
#11
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
#12
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
#13
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
https://www.readbyqxmd.com/read/28424457/vertex-coloring-of-graphs-via-phase-dynamics-of-coupled-oscillatory-networks
#14
Abhinav Parihar, Nikhil Shukla, Matthew Jerry, Suman Datta, Arijit Raychowdhury
While Boolean logic has been the backbone of digital information processing, there exist classes of computationally hard problems wherein this paradigm is fundamentally inefficient. Vertex coloring of graphs, belonging to the class of combinatorial optimization, represents one such problem. It is well studied for its applications in data sciences, life sciences, social sciences and technology, and hence, motivates alternate, more efficient non-Boolean pathways towards its solution. Here we demonstrate a coupled relaxation oscillator based dynamical system that exploits insulator-metal transition in Vanadium Dioxide (VO2) to efficiently solve vertex coloring of graphs...
April 19, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28421267/potential-distribution-of-mountain-cloud-forest-in-michoac%C3%A3-n-mexico-prioritization-for-conservation-in-the-context-of-landscape-connectivity
#15
Camilo A Correa Ayram, Manuel E Mendoza, Andrés Etter, Diego R Pérez Salicrup
Landscape connectivity is essential in biodiversity conservation because of its ability to reduce the effect of habitat fragmentation; furthermore is a key property in adapting to climate change. Potential distribution models and landscape connectivity studies have increased with regard to their utility to prioritizing areas for conservation. The objective of this study was to model the potential distribution of Mountain cloud forests in the Transversal Volcanic System, Michoacán and to analyze the role of these areas in maintaining landscape connectivity...
April 18, 2017: Environmental Management
https://www.readbyqxmd.com/read/28406055/graph-theory-and-brain-connectivity-in-alzheimer-s-disease
#16
Jon delEtoile, Hojjat Adeli
This article presents a review of recent advances in neuroscience research in the specific area of brain connectivity as a potential biomarker of Alzheimer's disease with a focus on the application of graph theory. The review will begin with a brief overview of connectivity and graph theory. Then resent advances in connectivity as a biomarker for Alzheimer's disease will be presented and analyzed.
April 1, 2017: Neuroscientist: a Review Journal Bringing Neurobiology, Neurology and Psychiatry
https://www.readbyqxmd.com/read/28378705/comparison-of-connectivity-analyses-for-resting-state-eeg-data
#17
Elzbieta Olejarczyk, Laura Marzetti, Vittorio Pizzella, Filippo Zappasodi
OBJECTIVE: In the present work, a nonlinear measure (transfer entropy, TE) was used in a multivariate approach for the analysis of effective connectivity in high density resting state EEG data in eyes open and eyes closed. Advantages of the multivariate approach in comparison to the bivariate one were tested. Moreover, the multivariate TE was compared to an effective linear measure, i.e. directed transfer function (DTF). Finally, the existence of a relationship between the information transfer and the level of brain synchronization as measured by phase synchronization value (PLV) was investigated...
April 5, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28377606/a-longitudinal-study-of-the-effect-of-short-term-meditation-training-on-functional-network-organization-of-the-aging-brain
#18
Francesca A Cotier, Ruibin Zhang, Tatia M C Lee
The beneficial effects of meditation on preserving age-related changes in cognitive functioning are well established. Yet, the neural underpinnings of these positive effects have not been fully unveiled. This study employed a prospective longitudinal design, and graph-based analysis, to study how an eight-week meditation training vs. relaxation training shaped network configuration at global, intermediate, and local levels using graph theory in the elderly. At the intermediate level, meditation training lead to decreased intra-connectivity in the default mode network (DMN), salience network (SAN) and somatomotor network (SMN) modules post training...
April 4, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28375650/emerging-frontiers-of-neuroengineering-a-network-science-of-brain-connectivity
#19
Danielle S Bassett, Ankit N Khambhati, Scott T Grafton
Neuroengineering is faced with unique challenges in repairing or replacing complex neural systems that are composed of many interacting parts. These interactions form intricate patterns over large spatiotemporal scales and produce emergent behaviors that are difficult to predict from individual elements. Network science provides a particularly appropriate framework in which to study and intervene in such systems by treating neural elements (cells, volumes) as nodes in a graph and neural interactions (synapses, white matter tracts) as edges in that graph...
March 27, 2017: Annual Review of Biomedical Engineering
https://www.readbyqxmd.com/read/28370780/higher-serum-cholesterol-is-associated-with-intensified-age-related-neural-network-decoupling-and-cognitive-decline-in-early-to-mid-life
#20
Jeffrey M Spielberg, Naomi Sadeh, Elizabeth C Leritz, Regina E McGlinchey, William P Milberg, Jasmeet P Hayes, David H Salat
Mounting evidence indicates that serum cholesterol and other risk factors for cardiovascular disease intensify normative trajectories of age-related cognitive decline. However, the neural mechanisms by which this occurs remain largely unknown. To understand the impact of cholesterol on brain networks, we applied graph theory to resting-state fMRI in a large sample of early- to mid-life Veterans (N = 206, Meanage  = 32). A network emerged (centered on the banks of the superior temporal sulcus) that evidenced age-related decoupling (i...
June 2017: Human Brain Mapping
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