Canonical Granger causality applied to functional brain data

Abstract. Dyslexia is a phenomenon for which the brain correlates have been studied since the beginning of the 20th century. Simultaneously, the field of education has also been studying dyslexia and its remediation, mainly through behavioral data. The last two decades have seen a growing interest in integrating neuroscience and education. This article provides a quick overview of pertinent scientific literature involving neurophysiological data on functional brain differences in dyslexia and discusses their very limited influence on the development of reading remediation for dyslexic individuals. Nevertheless, it appears that if certain conditions are met – related to the key elements of educational neuroscience and to the nature of the research questions – conceivable benefits can be expected from the integration of neurophysiological data with educational research. When neurophysiological data can be employed to overcome the limits of using behavioral data alone, researchers can both unravel phenomenon otherwise impossible to document and raise new questions.

Download Full-text

Supplemental Material for Listening for Memories: Attentional Focus Dissociates Functional Brain Networks Engaged by Memory-Evoking Music

Psychomusicology Music Mind and Brain ◽

10.1037/pmu0000210.supp ◽

2018 ◽

Keyword(s):

Brain Networks ◽

Attentional Focus ◽

Functional Brain ◽

Functional Brain Networks

Download Full-text

Acute ketamine administration modulates glutamatergic neurotransmission and functional brain activation in prefrontal cortex implications for major depression

Pharmacopsychiatry ◽

10.1055/s-0031-1292539 ◽

2011 ◽

Vol 44 (06) ◽

Author(s):

M Scheidegger ◽

A Henning ◽

M Walter ◽

A Fuchs ◽

R Krähenmann ◽

...

Keyword(s):

Prefrontal Cortex ◽

Major Depression ◽

Brain Activation ◽

Glutamatergic Neurotransmission ◽

Functional Brain

Download Full-text

Tax revenue and economic growth in developing country: an autoregressive distribution lags approach

Central European Economic Journal ◽

10.2478/ceej-2020-0018 ◽

2020 ◽

Vol 7 (54) ◽

pp. 205-217

Author(s):

Mnaku Honest Maganya

Keyword(s):

Economic Growth ◽

Granger Causality ◽

Testing Procedure ◽

Gdp Growth ◽

Bounds Testing ◽

Causality Test ◽

Significance Level ◽

Distributed Lag ◽

Distributed Lag Model ◽

The Government

AbstractTanzania, like most other developing countries, faces numerous economic challenges in striving to achieve sustainable economic growth and development through taxation. In the literature, the debate on how effective taxes are as a tool for promoting economic growth and economic development remains inconclusive, as various research have reported mixed effects of tax on economic growth. This article investigates the effect of taxation on economic growth in Tanzania using the recently developed technique of autoregressive distributed lag model (ARDL) bounds testing procedure for the period from 1996 to 2019. Various preliminary tests were conducted including stationary tests as well as the pair-wise Granger causality test. According to the results obtained, domestic goods and services (TGS) taxes are positively related to GDP growth and are statistically significant at 1% level. Income taxes, on the other hand, were found to be negatively related to GDP growth and to be statistically significant at 5% level. The pair-wise Granger causality results indicated that there is bidirectional Granger causality between TGS and GDP growth at 1 % significance level. The government should aim at growing, nurturing and sustaining tax base to positively drive economic growth even further.

Download Full-text