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Granger causality

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https://www.readbyqxmd.com/read/28639013/revisiting-the-environmental-kuznets-curve-and-pollution-haven-hypotheses-mikta-sample
#1
Ibrahim Bakirtas, Mumin Atalay Cetin
This study aims to examine the validity of the environmental Kuznets curve (EKC) and pollution haven hypotheses in Mexico, Indonesia, South Korea, Turkey, and Australia (MIKTA) countries from 1982 to 2011 by using a panel vector auto regressive (PVAR) model. Empirical findings imply that the EKC hypothesis is rejected by the MIKTA sample. However, PVAR estimations reveal Granger causality from income level, foreign direct investment (FDI) inward, and energy consumption to CO2 emissions. Orthogonalized impulse-response functions are derived from PVAR estimations...
June 21, 2017: Environmental Science and Pollution Research International
https://www.readbyqxmd.com/read/28629720/exploring-connectivity-with-large-scale-granger-causality-on-resting-state-functional-mri
#2
Adora M DSouza, Anas Z Abidin, Lutz Leistritz, Axel Wismüller
BACKGROUND: Large-scale Granger causality (lsGC) is a recently developed, resting-state functional MRI (fMRI) connectivity analysis approach that estimates multivariate voxel-resolution connectivity. Unlike most commonly used multivariate approaches, which establish coarse-resolution connectivity by aggregating voxel time-series avoiding an underdetermined problem, lsGC estimates voxel-resolution, fine-grained connectivity by incorporating an embedded dimension reduction. NEW METHOD: We investigate application of lsGC on realistic fMRI simulations, modeling smoothing of neuronal activity by the hemodynamic response function and repetition time (TR), and empirical resting-state fMRI data...
June 16, 2017: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/28627420/distinct-neural-processes-support-post-success-and-post-error-slowing-in-the-stop-signal-task
#3
Yihe Zhang, Jaime S Ide, Sheng Zhang, Sien Hu, Nikola S Valchev, Xiaoying Tang, Chiang-Shan R Li
Executive control requires behavioral adaptation to environmental contingencies. In the stop signal task (SST), participants exhibit slower go trial reaction time (RT) following a stop trial, whether or not they successfully interrupt the motor response. In previous fMRI studies, we demonstrated activation of the right-hemispheric ventrolateral prefrontal cortex, in the area of inferior frontal gyrus, pars opercularis (IFGpo) and anterior insula (AI), during post-error slowing (PES). However, in similar analyses we were not able to identify regional activities during post-success slowing (PSS)...
June 13, 2017: Neuroscience
https://www.readbyqxmd.com/read/28620297/racial-differences-in-insular-connectivity-and-thickness-and-related-cognitive-impairment-in-hypertension
#4
Ganesh B Chand, Junjie Wu, Deqiang Qiu, Ihab Hajjar
Hypertensive African-Americans have a greater risk of cognitive impairment than hypertensive Caucasian-Americans. The neural basis of this increased risk is yet unknown. Neuroimaging investigations suggest that the normal neural activity comprises complex interactions between brain networks. Recent studies consistently demonstrate that the insula, part of the salience network, provides modulation effects (information flow) over the default-mode and central-executive networks in cognitively normal subjects, and argue that the modulation effect is declined in cognitive impairment...
2017: Frontiers in Aging Neuroscience
https://www.readbyqxmd.com/read/28614420/the-degree-of-cardiac-baroreflex-involvement-during-active-standing-is-associated-with-the-quality-of-life-in-fibromyalgia-patients
#5
Antonio Roberto Zamunér, Alberto Porta, Carolina Pieroni Andrade, Meire Forti, Andrea Marchi, Raffaello Furlan, Franca Barbic, Aparecida Maria Catai, Ester Silva
Fibromyalgia syndrome (FMS) is a rheumatologic disorder characterized by chronic widespread pain, fatigue and other symptoms. Baroreflex dysfunction has been observed in women with FMS. However, it is unknown whether the limited involvement of the baroreflex control during an orthostatic stimulus has some impact on the quality of life of the FMS patient. Therefore, the aim of the study is evaluate the relationship between the quality of life of the FMS patient and indexes of the cardiovascular autonomic control as estimated from spontaneous fluctuations of heart period (HP) and systolic arterial pressure (SAP)...
2017: PloS One
https://www.readbyqxmd.com/read/28600253/robust-granger-analysis-in-lp-norm-space-for-directed-eeg-network-analysis
#6
PeiYang Li, Xiaoye Huang, Fali Li, Xurui Wang, Weiwei Zhou, Huan Liu, Teng Ma, Tao Zhang, Daqing Guo, Dezhong Yao, Peng Xu
Granger analysis (GA) is widely used to construct directed brain networks based on various physiological recordings, such as functional magnetic resonance imaging (fMRI), electroencephalogram (EEG), etc. However, in real applications, EEGs are inevitably contaminated by unexpected artifacts that may distort the networks because of the L2 norm structure utilized in GAs when estimating directed links. Compared with the L2 norm, the Lp (p ≤ 1) norm can compress outlier effects. In this study, an extended GA is constructed by applying the Lp (p ≤ 1) norm strategy to estimate robust causalities under outlier conditions, and a feasible iteration procedure is utilized to solve the new GA model...
June 5, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28597846/single-trial-effective-brain-connectivity-patterns-enhance-discriminability-of-mental-imagery-tasks
#7
Dheeraj Rathee, Hubert Cecotti, Girijesh Prasad
The majority of the current approaches of connectivity based BCI systems focus on distinguishing between different motor imagery (MI) tasks. Brain regions associated with MI are anatomically close to each other, hence these BCI systems suffer from low performances. Our objective is to introduce single-trial connectivity feature based BCI system for cognition imagery (CI) based tasks wherein the associated brain regions are located relatively far away as compared to those for MI...
June 9, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28597097/does-trade-openness-affect-co2-emissions-evidence-from-ten-newly-industrialized-countries
#8
Shun Zhang, Xuyi Liu, Junghan Bae
This paper examines whether the hypothetical environmental Kuznet curve (EKC) exists or not and investigates how trade openness affects CO2 emissions, together with real GDP and total primary energy consumption. The study sample comprises ten newly industrialized countries (NICs-10) from 1971 to 2013. The results support the existence of hypothetical EKC and indicate that trade openness negatively and significantly affects emissions, while real GDP and energy do positive effects of emissions. Moreover, the empirical results of short-run causalities indicate feedback hypothetical linkage of real GDP and trade, unidirectional linkages from energy to emissions, and from trade to energy...
June 9, 2017: Environmental Science and Pollution Research International
https://www.readbyqxmd.com/read/28592807/reconstruction-of-complex-directional-networks-with-group-lasso-nonlinear-conditional-granger-causality
#9
Guanxue Yang, Lin Wang, Xiaofan Wang
Reconstruction of networks underlying complex systems is one of the most crucial problems in many areas of engineering and science. In this paper, rather than identifying parameters of complex systems governed by pre-defined models or taking some polynomial and rational functions as a prior information for subsequent model selection, we put forward a general framework for nonlinear causal network reconstruction from time-series with limited observations. With obtaining multi-source datasets based on the data-fusion strategy, we propose a novel method to handle nonlinearity and directionality of complex networked systems, namely group lasso nonlinear conditional granger causality...
June 7, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28592697/top-down-beta-enhances-bottom-up-gamma
#10
Craig G Richter, William H Thompson, Conrado A Bosman, Pascal Fries
Several recent studies have demonstrated that the bottom-up signaling of a visual stimulus is subserved by interareal gamma-band synchronization, whereas top-down influences are mediated by alpha-beta band synchronization. These processes may implement top-down control of stimulus processing if top-down and bottom-up mediating rhythms are coupled via cross-frequency interaction. To test this possibility, we investigated Granger-causal influences among awake male macaque primary visual area V1, higher visual area V4 and parietal control area 7a during attentional task performance...
June 7, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28582479/restless-rest-intrinsic-sensory-hyperactivity-and-disinhibition-in-post-traumatic-stress-disorder
#11
Kevin Clancy, Mingzhou Ding, Edward Bernat, Norman B Schmidt, Wen Li
Post-traumatic stress disorder is characterized by exaggerated threat response, and theoretical accounts to date have focused on impaired threat processing and dysregulated prefrontal-cortex-amygdala circuitry. Nevertheless, evidence is accruing for broad, threat-neutral sensory hyperactivity in post-traumatic stress disorder. As low-level, sensory processing impacts higher-order operations, such sensory anomalies can contribute to widespread dysfunctions, presenting an additional aetiological mechanism for post-traumatic stress disorder...
June 3, 2017: Brain: a Journal of Neurology
https://www.readbyqxmd.com/read/28581329/an-empirical-analysis-of-mental-state-talk-and-affect-regulation-in-two-single-cases-of-psychodynamic-child-therapy
#12
Sibel Halfon, Ozlem Bekar, Büşra Gürleyen
Literature has shown the importance of mentalizing techniques in symptom remission and emotional understanding; however, no study to date has looked at the dynamic relations between mental state talk and affect regulation in the psychotherapy process. From a psychodynamic perspective, the emergence of the child's capacity to regulate affect through the therapist's reflection on the child's mental states is a core aspect of treatment. In an empirical investigation of 2 single cases with separation anxiety disorder, who were treated in long-term psychodynamic play therapy informed with mentalization principles, the effect of therapists' and children's use of mental state talk on children's subsequent capacity to regulate affect in play was assessed...
June 2017: Psychotherapy
https://www.readbyqxmd.com/read/28576731/quantify-neuromagnetic-network-changes-from-pre-ictal-to-ictal-activities-in-absence-seizures
#13
Caiyun Wu, Jing Xiang, Jintao Sun, Shuyang Huang, Lu Tang, Ailiang Miao, Yuchen Zhou, Qiqi Chen, Zheng Hu, Xiaoshan Wang
OBJECTIVE: The cortico-thalamo-cortical network plays a key role in childhood absence epilepsy (CAE). However, the exact interaction between the cortex and the thalamus remains incompletely understood. This study aimed to investigate the dynamic changes of frequency-dependent neural networks during the initialization of absence seizures. METHODS: Magnetoencephalography data from 14 patients with CAE were recorded during and between seizures at a sampling rate of 6000Hz and analyzed in seven frequency bands...
May 31, 2017: Neuroscience
https://www.readbyqxmd.com/read/28560627/testing-the-ekc-hypothesis-by-considering-trade-openness-urbanization-and-financial-development-the-case-of-turkey
#14
Nesrin Ozatac, Korhan K Gokmenoglu, Nigar Taspinar
This study investigates the environmental Kuznets curve (EKC) hypothesis for the case of Turkey from 1960 to 2013 by considering energy consumption, trade, urbanization, and financial development variables. Although previous literature examines various aspects of the EKC hypothesis for the case of Turkey, our model augments the basic model with several covariates to develop a better understanding of the relationship among the variables and to refrain from omitted variable bias. The results of the bounds test and the error correction model under autoregressive distributed lag mechanism suggest long-run relationships among the variables as well as proof of the EKC and the scale effect in Turkey...
May 30, 2017: Environmental Science and Pollution Research International
https://www.readbyqxmd.com/read/28545125/causal-interactions-in-resting-state-networks-predict-perceived-loneliness
#15
Yin Tian, Li Yang, Sifan Chen, Daqing Guo, Zechao Ding, Kin Yip Tam, Dezhong Yao
Loneliness is broadly described as a negative emotional response resulting from the differences between the actual and desired social relations of an individual, which is related to the neural responses in connection with social and emotional stimuli. Prior research has discovered that some neural regions play a role in loneliness. However, little is known about the differences among individuals in loneliness and the relationship of those differences to differences in neural networks. The current study aimed to investigate individual differences in perceived loneliness related to the causal interactions between resting-state networks (RSNs), including the dorsal attentional network (DAN), the ventral attentional network (VAN), the affective network (AfN) and the visual network (VN)...
2017: PloS One
https://www.readbyqxmd.com/read/28545066/bayesian-estimation-of-directed-functional-coupling-from-brain-recordings
#16
Danilo Benozzo, Pasi Jylänki, Emanuele Olivetti, Paolo Avesani, Marcel A J van Gerven
In many fields of science, there is the need of assessing the causal influences among time series. Especially in neuroscience, understanding the causal interactions between brain regions is of primary importance. A family of measures have been developed from the parametric implementation of the Granger criteria of causality based on the linear autoregressive modelling of the signals. We propose a new Bayesian method for linear model identification with a structured prior (GMEP) aiming to apply it as linear regression method in the context of the parametric Granger causal inference...
2017: PloS One
https://www.readbyqxmd.com/read/28541220/mgt-sm-a-method-for-constructing-cellular-signal-transduction-networks
#17
Min Li, Ruiqing Zheng, Yaohang Li, Fang-Xiang Wu, Jianxin Wang
A cellular signal transduction network is an important means to describe biological responses to environmental stimuli and exchange of biological signals. Constructing the cellular signal transduction network provides an important basis for the study of the biological activities, the mechanism of the diseases, drug targets and so on. The statistical approaches to network inference are popular in literature. Granger test has been used as an effective method for causality inference. Compared with bivariate granger tests, multivariate granger tests reduce the indirect causality and were used widely for the construction of cellular signal transduction networks...
May 19, 2017: IEEE/ACM Transactions on Computational Biology and Bioinformatics
https://www.readbyqxmd.com/read/28540350/meta-analysis-data-for-104-energy-economy-nexus-papers
#18
Vladimír Hajko, Agáta Kociánová, Martina Buličková
The data presented here are manually encoded characteristics of research papers in the area of Energy-Economy Nexus (empirical investigation of Granger causality between energy consumption and economic growth) that describe the methods, samples, and other details related to the individual estimations done in the examined empirical papers. Data cover papers indexed by Scopus, published in economic journals, written in English, after year 2000. In addition, papers were manually filtered to only those that deal with Energy-Economy Nexus investigation and have at least 10 citations at (at the time of query - November 2015)...
June 2017: Data in Brief
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
#19
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
#20
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...
June 15, 2017: Journal of Neuroscience Methods
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