Granger causality analysis in neuroscience and neuroimaging. [PDF]
J Neurosci, 2015 ### Introduction A key challenge in neuroscience and, in particular, neuroimaging, is to move beyond identification of regional activations toward the characterization of functional circuits underpinning perception, cognition, behavior, and ...
Seth AK, Barrett AB, Barnett L.
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Granger Causality Analysis of Chignolin Folding. [PDF]
J Chem Theory Comput, 2022 Constantly advancing computer simulations of biomolecules provide huge amounts of data that are difficult to interpret. In particular, obtaining insights into functional aspects of macromolecular dynamics, often related to cascades of transient events ...
Sobieraj M, Setny P.
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Sparse Granger Causality Analysis Model Based on Sensors Correlation for Emotion Recognition Classification in Electroencephalography [PDF]
Frontiers in Computational Neuroscience, 2021 In recent years, affective computing based on electroencephalogram (EEG) data has attracted increased attention. As a classic EEG feature extraction model, Granger causality analysis has been widely used in emotion classification models, which construct ...
Dongwei Chen +5 more
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Bibliometric Analysis of Granger Causality Studies
Entropy, 2023 Granger causality provides a framework that uses predictability to identify causation between time series variables. This is important to policymakers for effective policy management and recommendations.
Weng Siew Lam +3 more
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The thalamus is the causal hub of intervention in patients with major depressive disorder: Evidence from the Granger causality analysis. [PDF]
Neuroimage Clin, 2023 Highlights • A review of previous abnormal Granger causality studies of major depressive disorder.• Granger causality is an reliable method to explore abnormal causal nodes in the patient's brain.• The thalamus has the potential to be an effective target
Yang C +5 more
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The causal nexus between imports and economic growth in China, India and G7 countries: granger causality analysis in the frequency domain. [PDF]
Heliyon, 2022 This research examine the causal nexus between imports and economic growth in China, India and G7 economies. We use BC granger causality analysis in the frequency domain short (temporary) and long term (permanent) causality.
Usman K, Bashir U.
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Altered amygdala effective connectivity in migraine without aura: evidence from resting-state fMRI with Granger causality analysis. [PDF]
J Headache Pain, 2021 Background Granger causality analysis (GCA) has been used to investigate the pathophysiology of migraine. Amygdala plays a key role in pain modulation of migraine attack. However, the detailed neuromechanism remained to be elucidated.
Huang X +8 more
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Stock Market Reactions to COVID-19 Pandemic Outbreak: Quantitative Evidence from ARDL Bounds Tests and Granger Causality Analysis. [PDF]
Int J Environ Res Public Health, 2020 This paper examines the linkages in financial markets during coronavirus disease 2019 (COVID-19) pandemic outbreak. For this purpose, daily stock market returns were used over the period of December 31, 2019–April 20, 2020 for the following economies ...
Gherghina ȘC, Armeanu DȘ, Joldeș CC.
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A Granger causality analysis of groundwater patterns over a half-century. [PDF]
Sci Rep, 2019 Groundwater depletion in many areas of the world has been broadly attributed to irrigation. However, more formal, data-driven, causal mechanisms of long-term groundwater patterns have not been assessed.
Singh NK, Borrok DM.
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A study of problems encountered in Granger causality analysis from a neuroscience perspective. [PDF]
Proc Natl Acad Sci U S A, 2017 Significance Granger causality analysis is a statistical method for investigating the flow of information between time series. Granger causality has become more widely applied in neuroscience, due to its ability to characterize oscillatory and ...
Stokes PA, Purdon PL.
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