keyword
MENU ▼
Read by QxMD icon Read
search

Granger causality

keyword
https://www.readbyqxmd.com/read/28410136/directed-connectivity-of-brain-default-networks-in-resting-state-using-gca-and-motif
#1
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
#2
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...
April 5, 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
#3
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...
April 5, 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
#4
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
#5
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...
April 5, 2017: Environmental Science and Pollution Research International
https://www.readbyqxmd.com/read/28364752/smooth-information-flow-in-temperature-climate-network-reflects-mass-transport
#6
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
#7
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
#8
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
https://www.readbyqxmd.com/read/28330412/early-asymmetric-cardio-cerebral-causality-and-outcome-after-severe-traumatic-brain-injury
#9
Lei Gao, Peter Smieleweski, Marek Czosnyka, Ari Ercole
The brain and heart are two vital systems in health and disease, increasingly recognised as a complex, interdependent network with constant information flow in both directions. After severe traumatic brain injury (TBI), the causal, directed interactions between the brain, heart and autonomic nervous system have not been well established. Novel methods are needed to probe unmeasured, potentially prognostic information in complex biological networks that are not revealed via traditional means. In this study, we examined potential bi-directional causality between intracranial pressure (ICP), mean arterial pressure (MAP) and heart rate (HR) and its relationship to mortality in a 24-hour period early after TBI...
March 23, 2017: Journal of Neurotrauma
https://www.readbyqxmd.com/read/28290245/differentiated-effective-connectivity-patterns-of-the-executive-control-network-in-progressive-mci-a-potential-biomarker-for-predicting-ad
#10
Suping Cai, Yanlin Peng, Tao Chong, Yun Zhang, Karen M von Deneen, Liyu Huang, Aibl Research Group
Mild cognitive impairment (MCI) is often a transitional state between normal aging and Alzheimer's disease (AD). When observed longitudinally, some MCI patients convert to AD, while a considerable portion either remain MCI or revert to a normal functioning state. This divergence has provided some enlightenment on a potential biomarker be represented in the resting state brain activities of MCI patients with different post-hoc labels. Recent studies have shown impaired executive functions, other than typically explicated memory impairment with AD/MCI patients...
March 9, 2017: Current Alzheimer Research
https://www.readbyqxmd.com/read/28286918/altered-effective-connectivity-network-in-childhood-absence-epilepsy-a-multi-frequency-meg-study
#11
Caiyun Wu, Jing Xiang, Wenwen Jiang, Shuyang Huang, Yuan Gao, Lu Tang, Yuchen Zhou, Di Wu, Qiqi Chen, Zheng Hu, Xiaoshan Wang
Using multi-frequency magnetoencephalography (MEG) data, we investigated whether the effective connectivity (EC) network of patients with childhood absence epilepsy (CAE) is altered during the inter-ictal period in comparison with healthy controls. MEG data from 13 untreated CAE patients and 10 healthy controls were recorded. Correlation analysis and Granger causality analysis were used to construct an EC network at the source level in eight frequency bands. Alterations in the spatial pattern and topology of the network in CAE were investigated by comparing the patients with the controls...
March 12, 2017: Brain Topography
https://www.readbyqxmd.com/read/28284798/interactions-between-the-anterior-cingulate-insula-network-and-the-fronto-parietal-network-during-perceptual-decision-making
#12
Ganesh B Chand, Mukesh Dhamala
Information processing in the human brain during cognitively demanding goal-directed tasks is thought to involve several large-scale brain networks, including the anterior cingulate-insula network (aCIN) and the fronto-parietal network (FPN). Recent functional MRI (fMRI) studies have provided clues that the aCIN initiates activity changes in the FPN. However, when and how often these networks interact remains largely unknown to date. Here, we systematically examined the oscillatory interactions between the aCIN and the FPN by using the spectral Granger causality analysis of reconstructed brain source signals from the scalp electroencephalography (EEG) recorded from human participants performing a face-house perceptual categorization task...
March 8, 2017: NeuroImage
https://www.readbyqxmd.com/read/28274168/resting-state-effective-connectivity-allows-auditory-hallucination%C3%A2-discrimination
#13
Manuel Graña, Leire Ozaeta, Darya Chyzhyk
Hallucinations are elusive phenomena that have been associated with psychotic behavior, but that have a high prevalence in healthy population. Some generative mechanisms of Auditory Hallucinations (AH) have been proposed in the literature, but so far empirical evidence is scarce. The most widely accepted generative mechanism hypothesis nowadays consists in the faulty workings of a network of brain areas including the emotional control, the audio and language processing, and the inhibition and self-attribution of the signals in the auditive cortex...
February 1, 2017: International Journal of Neural Systems
https://www.readbyqxmd.com/read/28271439/relation-of-visual-creative-imagery-manipulation-to-resting-state-brain-oscillations
#14
Yuxuan Cai, Delong Zhang, Bishan Liang, Zengjian Wang, Junchao Li, Zhenni Gao, Mengxia Gao, Song Chang, Bingqing Jiao, Ruiwang Huang, Ming Liu
Visual creative imagery (VCI) manipulation is the key component of visual creativity; however, it remains largely unclear how it occurs in the brain. The present study investigated the brain neural response to VCI manipulation and its relation to intrinsic brain activity. We collected functional magnetic resonance imaging (fMRI) datasets related to a VCI task and a control task as well as pre- and post-task resting states in sequential sessions. A general linear model (GLM) was subsequently used to assess the specific activation of the VCI task compared with the control task...
March 7, 2017: Brain Imaging and Behavior
https://www.readbyqxmd.com/read/28269499/a-time-domain-frequency-selective-multivariate-granger-causality-approach
#15
Lutz Leistritz, Herbert Witte
The investigation of effective connectivity is one of the major topics in computational neuroscience to understand the interaction between spatially distributed neuronal units of the brain. Thus, a wide variety of methods has been developed during the last decades to investigate functional and effective connectivity in multivariate systems. Their spectrum ranges from model-based to model-free approaches with a clear separation into time and frequency range methods. We present in this simulation study a novel time domain approach based on Granger's principle of predictability, which allows frequency-selective considerations of directed interactions...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269497/reconstructing-multivariate-causal-structure-between-functional-brain-networks-through-a-laguerre-volterra-based-granger-causality-approach
#16
Andrea Duggento, Gaetano Valenza, Luca Passamonti, Maria Guerrisi, Riccardo Barbieri, Nicola Toschi
Classical multivariate approaches based on Granger causality (GC) which estimate functional connectivity in the brain are almost exclusively based on autoregressive models. Nevertheless, information available from past samples is limited due to both signal autocorrelation and necessarily low model orders. Consequently, multiple time-scales interactions are usually unaccounted for. To overcome these limitations, in this study we propose the use of discrete-time orthogonal Laguerre basis functions within a Wiener-Volterra decomposition of the BOLD signals to perform effective GC assessments of brain functional connectivity...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268430/analysis-of-magnetoencephalography-signals-from-alzheimer-s-disease-patients-using-granger-causality
#17
Celia Juan-Cruz, Carlos Gomez, Jesus Poza, Alberto Fernandez, Roberto Hornero
The aim of this study was to analyze resting-state magnetoencephalography (MEG) activity in Alzheimer's disease (AD) by means of Granger Causality (GC), an effective connectivity measure that provides an estimation of the information flow between brain regions. For this task, five minutes of MEG recordings were acquired with a 148-channel whole-head magnetometer from 36 AD patients and 26 healthy controls. Abnormalities in AD connectivity were found in the five typical frequency bands: delta (δ, 1-4 Hz), theta (θ, 4-8 Hz), alpha (α, 8-13 Hz), beta (β, 13-30 Hz), and gamma (γ, 30-65 Hz)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268428/estimation-of-resting-state-effective-connectivity-in-epilepsy-using-direct-directed-transfer-function
#18
Biswajit Maharathi, Jeffrey A Loeb, James Patton
There has been an increasing demand among neuroscientists to understand the complex network of functionally connected neural assemblies in the human brain. For this purpose, computational EEG research is widely used by researchers due to its remarkable advantage in providing high temporal resolution, and ease of analysis across different frequency bands. Here we analyzed Electrocorticographic (ECoG) signals of electrodes placed on frontal-parietal neocortex brain region of 8 pediatric epileptic patients. In order to evaluate the directed causal relationship among different brain regions, we employed a Granger causality based multivariate connectivity estimator named direct Directed Transfer Function (dDTF) to identify signal propagations among the selected set of electrode in the frequency range 1-50Hz...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28243755/differential-diagnosis-between-patients-with-probable-alzheimer-s-disease-parkinson-s-disease-dementia-or-dementia-with-lewy-bodies-and-frontotemporal-dementia-behavioral-variant-using-quantitative-electroencephalographic-features
#19
Heinrich Garn, Carmina Coronel, Markus Waser, Georg Caravias, Gerhard Ransmayr
The objective of this work was to develop and evaluate a classifier for differentiating probable Alzheimer's disease (AD) from Parkinson's disease dementia (PDD) or dementia with Lewy bodies (DLB) and from frontotemporal dementia, behavioral variant (bvFTD) based on quantitative electroencephalography (QEEG). We compared 25 QEEG features in 61 dementia patients (20 patients with probable AD, 20 patients with PDD or probable DLB (DLBPD), and 21 patients with bvFTD). Support vector machine classifiers were trained to distinguish among the three groups...
February 27, 2017: Journal of Neural Transmission
https://www.readbyqxmd.com/read/28239344/selective-attention-enhances-beta-band-cortical-oscillation-to-speech-under-cocktail-party-listening-conditions
#20
Yayue Gao, Qian Wang, Yu Ding, Changming Wang, Haifeng Li, Xihong Wu, Tianshu Qu, Liang Li
Human listeners are able to selectively attend to target speech in a noisy environment with multiple-people talking. Using recordings of scalp electroencephalogram (EEG), this study investigated how selective attention facilitates the cortical representation of target speech under a simulated "cocktail-party" listening condition with speech-on-speech masking. The result shows that the cortical representation of target-speech signals under the multiple-people talking condition was specifically improved by selective attention relative to the non-selective-attention listening condition, and the beta-band activity was most strongly modulated by selective attention...
2017: Frontiers in Human Neuroscience
keyword
keyword
118050
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"