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Granger causality

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https://www.readbyqxmd.com/read/28505512/identifying-the-impacts-of-climate-on-the-regional-transport-of-haze-pollution-and-inter-cities-correspondence-within-the-yangtze-river-delta
#1
Hang Xiao, Zhongwen Huang, Jingjing Zhang, Huiling Zhang, Jinsheng Chen, Han Zhang, Lei Tong
Regional haze pollution has become an important environmental issue in the Yangtze River Delta (YRD) region. Regional transport and inter-influence of PM2.5 among cities occurs frequently as a result of the subtropical monsoon climate. Backward trajectory statistics indicated that a north wind prevailed from October to March, while a southeast wind predominated from May to September. The temporal relationships of carbon and nitrogen isotopes among cities were dependent on the prevailing wind direction. Regional PM2...
May 12, 2017: Environmental Pollution
https://www.readbyqxmd.com/read/28495368/the-dynamic-programming-high-order-dynamic-bayesian-networks-learning-for-identifying-effective-connectivity-in-human-brain-from-fmri
#2
Shilpa Dang, Santanu Chaudhury, Brejesh Lall, Prasun Kumar Roy
BACKGROUND: Determination of effective connectivity (EC) among brain regions using fMRI is helpful in understanding the underlying neural mechanisms. Dynamic Bayesian Networks (DBNs) are an appropriate class of probabilistic graphical temporal-models that have been used in past to model EC from fMRI, specifically order-one. NEW-METHOD: High-order DBNs (HO-DBNs) have still not been explored for fMRI data. A fundamental problem faced in the structure-learning of HO-DBN is high computational-burden and low accuracy by the existing heuristic search techniques used for EC detection from fMRI...
May 8, 2017: Journal of Neuroscience Methods
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
#3
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/28484007/body-sway-reflects-leadership-in-joint-music-performance
#4
Andrew Chang, Steven R Livingstone, Dan J Bosnyak, Laurel J Trainor
The cultural and technological achievements of the human species depend on complex social interactions. Nonverbal interpersonal coordination, or joint action, is a crucial element of social interaction, but the dynamics of nonverbal information flow among people are not well understood. We used joint music making in string quartets, a complex, naturalistic nonverbal behavior, as a model system. Using motion capture, we recorded body sway simultaneously in four musicians, which reflected real-time interpersonal information sharing...
May 8, 2017: Proceedings of the National Academy of Sciences of the United States of America
https://www.readbyqxmd.com/read/28472428/granger-causality-analysis-of-interictal-ieeg-predicts-seizure-focus-and-ultimate-resection
#5
Eun-Hyoung Park, Joseph R Madsen
BACKGROUND: A critical conceptual step in epilepsy surgery is to locate the causal region of seizures. In practice, the causal region may be inferred from the set of electrodes showing early ictal activity. There would be advantages in deriving information about causal regions from interictal data as well. We applied Granger's statistical approach to baseline interictal data to calculate causal interactions. We hypothesized that maps of the Granger causality network (or GC maps) from interictal data might inform about the seizure network, and set out to see if "causality" in the Granger sense correlated with surgical targets...
May 2, 2017: Neurosurgery
https://www.readbyqxmd.com/read/28466439/high-sensitivity-neuroimaging-biomarkers-for-the-identification-of-amnestic-mild-cognitive-impairment-based-on-resting-state-fmri-and-a-triple-network-model
#6
Enyan Yu, Zhengluan Liao, Yunfei Tan, Yaju Qiu, Junpeng Zhu, Zhang Han, Jue Wang, Xinwei Wang, Hong Wang, Yan Chen, Qi Zhang, Yumei Li, Dewang Mao, Zhongxiang Ding
Many functional magnetic resonance imaging (fMRI) studies have indicated that Granger causality analysis (GCA) is a suitable method for revealing causal effects between brain regions. The purpose of the present study was to identify neuroimaging biomarkers with a high sensitivity to amnestic mild cognitive impairment (aMCI). The resting-state fMRI data of 30 patients with Alzheimer's disease (AD), 14 patients with aMCI, and 18 healthy controls (HC) were evaluated using GCA. This study focused on the "triple networks" concept, a recently proposed higher-order functioning-related brain network model that includes the default-mode network (DMN), salience network (SN), and executive control network (ECN)...
May 3, 2017: Brain Imaging and Behavior
https://www.readbyqxmd.com/read/28456171/on-the-role-of-the-entorhinal-cortex-in-the-effective-connectivity-of-the-hippocampal-formation
#7
Víctor J López-Madrona, Fernanda S Matias, Ernesto Pereda, Santiago Canals, Claudio R Mirasso
Inferring effective connectivity from neurophysiological data is a challenging task. In particular, only a finite (and usually small) number of sites are simultaneously recorded, while the response of one of these sites can be influenced by other sites that are not being recorded. In the hippocampal formation, for instance, the connections between areas CA1-CA3, the dentate gyrus (DG), and the entorhinal cortex (EC) are well established. However, little is known about the relations within the EC layers, which might strongly affect the resulting effective connectivity estimations...
April 2017: Chaos
https://www.readbyqxmd.com/read/28455155/-spike-in-acute-asthma-exacerbations-during-enterovirus-d68-epidemic-in-japan-a-nation-wide-survey
#8
Seigo Korematsu, Kengo Nagashima, Yasunori Sato, Mizuho Nagao, Shunji Hasegawa, Haruna Nakamura, Shiro Sugiura, Katsushi Miura, Kenji Okada, Takao Fujisawa
BACKGROUND: In September 2015, Japan experienced an unusual increase in acute asthma hospitalizations of children that coincided with an enterovirus D68 (EV-D68) epidemic. The objective of this study is to investigate whether EV-D68 had a causal relationship with the spike in asthma hospitalizations. METHODS: A nation-wide retrospective survey of asthma hospitalizations of children was performed for the period from January 2010 through October 2015. The Japanese Society of Pediatric Allergy and Clinical Immunology asked its affiliated hospitals to report monthly numbers of hospitalizations, ICU admissions and mechanical ventilations due to acute asthma exacerbation...
April 25, 2017: Allergology International: Official Journal of the Japanese Society of Allergology
https://www.readbyqxmd.com/read/28448492/stylized-facts-of-intraday-precious-metals
#9
Jonathan Batten, Brian Lucey, Frank McGroarty, Maurice Peat, Andrew Urquhart
This paper examines the stylized facts, correlation and interaction between volatility and returns at the 5-minute frequency for gold, silver, platinum and palladium from May 2000 to April 2015. We study the full sample period, as well as three subsamples to determine how high-frequency data of precious metals have developed over time. We find that over the full sample, the number of trades has increased substantially over time for each precious metal, while the bid-ask spread has narrowed over time, indicating an increase in liquidity and price efficiency...
2017: PloS One
https://www.readbyqxmd.com/read/28448272/automated-network-analysis-to-measure-brain-effective-connectivity-estimated-from-eeg-data-of-patients-with-alcoholism
#10
Youngoh Bae, Byeong Wook Yoo, Jung Chan Lee, Hee Chan Kim
OBJECTIVE: Detection and diagnosis based on extracting features and classification using electroencephalography (EEG) signals are being studied vigorously. A network analysis of time series EEG signal data is one of many techniques that could help study brain functions. In this study, we analyze EEG to diagnose alcoholism. APPROACH: We propose a novel methodology to estimate the differences in the status of the brain based on EEG data of normal subjects and data from alcoholics by computing many parameters stemming from effective network using Granger causality...
May 2017: Physiological Measurement
https://www.readbyqxmd.com/read/28445249/study-on-the-mechanisms-of-seizure-like-events-suppression-effect-by-electrical-stimulation-using-a-microelectrode-array
#11
Sora Ahn, Sumin Jo, Sang Beom Jun, Hyang Woon Lee, Seungjun Lee
In this paper, we studied the mechanisms underlying the suppression of seizure-like events (SLEs) by electrical stimulation. We conducted an in-vitro experiment using entorhinal cortex combined hippocampal slices and two convulsant drugs, bicuculline and 4-aminopyridine, to induce spontaneous SLEs. We used a microelectrode array to observe network dynamics over the entire hippocampal area simultaneously, including regions far from the stimulation site. We stimulated the entorhinal cortex region, which has been determined to be a focus of SLEs by Granger causality analysis of multichannel time series data, by an external electrode...
April 25, 2017: Neuroreport
https://www.readbyqxmd.com/read/28442276/investigating-the-effects-of-nitrous-oxide-sedation-on-frontal-parietal-interactions
#12
Ji-Ho Ryu, Pil-Jong Kim, Hong-Gee Kim, Yong-Seo Koo, Teo Jeon Shin
Although functional connectivity has received considerable attention in the study of consciousness, few studies have investigated functional connectivity limited to the sedated state where consciousness is maintained but impaired. The aim of the present study was to investigate changes in functional connectivity of the parietal-frontal network resulting from nitrous oxide-induced sedation, and to determine the neural correlates of cognitive impairment during consciousness transition states. Electroencephalography was acquired from healthy adult patients who underwent nitrous oxide inhalation to induce cognitive impairment, and was analyzed using Granger causality (GC)...
April 23, 2017: Neuroscience Letters
https://www.readbyqxmd.com/read/28410136/directed-connectivity-of-brain-default-networks-in-resting-state-using-gca-and-motif
#13
Zhuqing Jiao, Huan Wang, Kai Ma, Ling Zou, Jianbo Xiang
Nowadays, there is a lot of interest in assessing functional interactions between key brain regions. In this paper, Granger causality analysis (GCA) and motif structure are adopted to study directed connectivity of brain default mode networks (DMNs) in resting state. Firstly, the time series of functional magnetic resonance imaging (fMRI) data in resting state were extracted, and the causal relationship values of the nodes representing related brain regions are analyzed in time domain to construct a default network...
June 1, 2017: Frontiers in Bioscience (Landmark Edition)
https://www.readbyqxmd.com/read/28382445/carbon-dioxide-emission-and-economic-growth-of-china-the-role-of-international-trade
#14
Kofi Baah Boamah, Jianguo Du, Isaac Asare Bediako, Angela Jacinta Boamah, Alhassan Alolo Abdul-Rasheed, Samuel Mensah Owusu
This study investigates the role of international trade in mitigating carbon dioxide emission as a nation economically advances. This study disaggregated the international trade into total exports and total imports. A multivariate model framework was estimated for the time series data for the period of 1970-2014. The quantile regression detected all the essential relationship, which hitherto, the traditional ordinary least squares could not capture. A cointegration relationship was confirmed using the Johansen cointegration model...
May 2017: Environmental Science and Pollution Research International
https://www.readbyqxmd.com/read/28382444/causality-links-among-renewable-energy-consumption-co2-emissions-and-economic-growth-in-africa-evidence-from-a-panel-ardl-pmg-approach
#15
Imed Attiaoui, Hassen Toumi, Bilel Ammouri, Ilhem Gargouri
This research examines the causality (For the remainder of the paper, the notion of causality refers to Granger causality.) links among renewable energy consumption (REC), CO2 emissions (CE), non-renewable energy consumption (NREC), and economic growth (GDP) using an autoregressive distributed lag model based on the pooled mean group estimation (ARDL-PMG) and applying Granger causality tests for a panel consisting of 22 African countries for the period between 1990 and 2011. There is unidirectional and irreversible short-run causality from CE to GDP...
May 2017: Environmental Science and Pollution Research International
https://www.readbyqxmd.com/read/28378354/ecological-regime-shift-drives-declining-growth-rates-of-sea-turtles-throughout-the-west-atlantic
#16
Karen A Bjorndal, Alan B Bolten, Milani Chaloupka, Vincent S Saba, Cláudio Bellini, Maria A G Marcovaldi, Armando J B Santos, Luis Felipe Wurdig Bortolon, Anne B Meylan, Peter A Meylan, Jennifer Gray, Robert Hardy, Beth Brost, Michael Bresette, Jonathan C Gorham, Stephen Connett, Barbara Van Sciver Crouchley, Mike Dawson, Deborah Hayes, Carlos E Diez, Robert P van Dam, Sue Willis, Mabel Nava, Kristen M Hart, Michael S Cherkiss, Andrew G Crowder, Clayton Pollock, Zandy Hillis-Starr, Fernando A Muñoz Tenería, Roberto Herrera-Pavón, Vanessa Labrada-Martagón, Armando Lorences, Ana Negrete-Philippe, Margaret M Lamont, Allen M Foley, Rhonda Bailey, Raymond R Carthy, Russell Scarpino, Erin McMichael, Jane A Provancha, Annabelle Brooks, Adriana Jardim, Milagros López-Mendilaharsu, Daniel González-Paredes, Andrés Estrades, Alejandro Fallabrino, Gustavo Martínez-Souza, Gabriela M Vélez-Rubio, Ralf H Boulon, Jaime A Collazo, Robert Wershoven, Vicente Guzmán Hernández, Thomas B Stringell, Amdeep Sanghera, Peter B Richardson, Annette C Broderick, Quinton Phillips, Marta Calosso, John A B Claydon, Tasha L Metz, Amanda L Gordon, Andre M Landry, Donna J Shaver, Janice Blumenthal, Lucy Collyer, Brendan J Godley, Andrew McGowan, Matthew J Witt, Cathi L Campbell, Cynthia J Lagueux, Thomas L Bethel, Lory Kenyon
Somatic growth is an integrated, individual-based response to environmental conditions, especially in ectotherms. Growth dynamics of large, mobile animals are particularly useful as bio-indicators of environmental change at regional scales. We assembled growth rate data from throughout the West Atlantic for green turtles, Chelonia mydas, which are long-lived, highly migratory, primarily herbivorous mega-consumers that may migrate over hundreds to thousands of kilometers. Our dataset, the largest ever compiled for sea turtles, has 9690 growth increments from 30 sites from Bermuda to Uruguay from 1973 to 2015...
April 4, 2017: Global Change Biology
https://www.readbyqxmd.com/read/28378312/the-dynamic-relationship-between-structural-change-and-co2-emissions-in-malaysia-a-cointegrating-approach
#17
Wajahat Ali, Azrai Abdullah, Muhammad Azam
The current study investigates the dynamic relationship between structural changes, real GDP per capita, energy consumption, trade openness, population density, and carbon dioxide (CO2) emissions within the EKC framework over a period 1971-2013. The study used the autoregressive distributed lagged (ARDL) approach to investigate the long-run relationship between the selected variables. The study also employed the dynamic ordinary least squared (DOLS) technique to obtain the robust long-run estimates. Moreover, the causal relationship between the variables is explored using the VECM Granger causality test...
May 2017: Environmental Science and Pollution Research International
https://www.readbyqxmd.com/read/28364752/smooth-information-flow-in-temperature-climate-network-reflects-mass-transport
#18
Jaroslav Hlinka, Nikola Jajcay, David Hartman, Milan Paluš
A directed climate network is constructed by Granger causality analysis of air temperature time series from a regular grid covering the whole Earth. Using winner-takes-all network thresholding approach, a structure of a smooth information flow is revealed, hidden to previous studies. The relevance of this observation is confirmed by comparison with the air mass transfer defined by the wind field. Their close relation illustrates that although the information transferred due to the causal influence is not a physical quantity, the information transfer is tied to the transfer of mass and energy...
March 2017: Chaos
https://www.readbyqxmd.com/read/28364751/inferring-directed-climatic-interactions-with-renormalized-partial-directed-coherence-and-directed-partial-correlation
#19
Giulio Tirabassi, Linda Sommerlade, Cristina Masoller
Inferring interactions between processes promises deeper insight into mechanisms underlying network phenomena. Renormalised partial directed coherence is a frequency-domain representation of the concept of Granger causality, while directed partial correlation is an alternative approach for quantifying Granger causality in the time domain. Both methodologies have been successfully applied to neurophysiological signals for detecting directed relationships. This paper introduces their application to climatological time series...
March 2017: Chaos
https://www.readbyqxmd.com/read/28347878/memory-guided-drawing-training-increases-granger-causal-influences-from-the-perirhinal-cortex-to-v1-in-the-blind
#20
Laura Cacciamani, Lora T Likova
The perirhinal cortex (PRC) is a medial temporal lobe structure that has been implicated in not only visual memory in the sighted, but also tactile memory in the blind (Cacciamani & Likova, 2016). It has been proposed that, in the blind, the PRC may contribute to modulation of tactile memory responses that emerge in low-level "visual" area V1 as a result of training-induced cortical reorganization (Likova, 2012, 2015). While some studies in the sighted have indicated that the PRC is indeed structurally and functionally connected to the visual cortex (Clavagnier, Falchier, & Kennedy, 2004; Peterson, Cacciamani, Barense, & Scalf, 2012), the PRC's direct modulation of V1 is unknown-particularly in those who lack the visual input that typically stimulates this region...
March 24, 2017: Neurobiology of Learning and Memory
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