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Article
Publication date: 29 November 2018

Fatemeh Fahimi, Wooi Boon Goh, Tih-Shih Lee and Cuntai Guan

This study aims to investigate the correlation between neural indexes of attention and behavioral indexes of attention and detect the most informative period of brain activity in…

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Abstract

Purpose

This study aims to investigate the correlation between neural indexes of attention and behavioral indexes of attention and detect the most informative period of brain activity in which the strongest correlation with attentive performance (behavioral index) exists. Finally, to further validate the findings, this paper aims at the prediction of different levels of attention function based on the attention score obtained from repeatable battery for the assessment of neurophysiological status (RBANS).

Design/methodology/approach

The present paper analyzes electroencephalogram (EEG) signals recorded by a single prefrontal channel from 105 elderly subjects while they were responding to Stroop color test which is an attention-demanded task. Beside Stroop test, subjects also performed RBANS which provides their level of functionality in different domains including attention. After data acquisition (EEG during Stroop test and RBANS attention score), the authors extract the spectral features of EEG as neural indexes of attention and subjects’ reaction time in response to Stroop test as behavioral index of attention. Then, they explore the correlation between these post-cue frequency band oscillations of EEG with elderly response time (RT). Next, the authors exploit these findings to classify RBANS attention score.

Findings

The observations of this study suggest that there is significant negative correlation between alpha gamma ratio (AGR) and RT (p < 0.0001), theta beta ratio (TBR) is positively correlated with subjects’ RT (p < 0.0001), these correlations are stronger in a 500ms period right after triggering the cue (question onset in Stroop test), and 4) TBR and AGR can be effectively used to predict RBANS attention score.

Research limitations/implications

Because of the experiment design, the pre-cue EEG of the next trail was very much overlapped with the post-cue EEG of the current trail. Therefore, the authors could analyze only post-cue EEG. In future study, it would be interesting to investigate the predictability of subject’s future performance from pre-cue EEG and mental preparation.

Practical implications

This study provides an insight into the research on detection of human attention level from EEG instead of conventional neurophysiological tests. It has also potential to be used in implementation of feasible and efficient EEG-based brain computer interface training systems for elderly.

Originality/value

To the best of the authors’ knowledge, this study is among very few attempts for early prediction of cognitive decline in the domain of attention from brain activity (EEG) instead of conventional tests which are prone to human errors.

Details

International Journal of Crowd Science, vol. 2 no. 3
Type: Research Article
ISSN: 2398-7294

Keywords

Article
Publication date: 28 May 2021

Fatemeh Nouri, Fahimeh Haghighatdoost, Noushin Mohammadifard, Marjan Mansourian, Masoumeh Sadeghi, Hamidreza Roohafza, Azam Khani and Nizal Sarrafzadegan

The associations between legume consumption and cardiovascular events (CVEs) have extensively been studied. However, there are few studies that considered longitudinal association…

Abstract

Purpose

The associations between legume consumption and cardiovascular events (CVEs) have extensively been studied. However, there are few studies that considered longitudinal association between legume consumption (with repeated measurements across time) and CVEs in low-income countries where legume consumption is lower than the Western countries. The authors aimed to investigate the long-term longitudinal relationship between soybean, non-soybean and overall legume consumption and CVEs using repeated measures of legumes and time-varying confounders in a cohort study of the general population.

Design/methodology/approach

The current study was performed within the framework of the Isfahan cohort study among 5,432 healthy participants. The participants were followed-up for fatal and non-fatal myocardial infarction, unstable angina, fatal and non-fatal stroke and sudden cardiac death for 13 years. Dietary intake was evaluated using a validated food frequency questionnaire in 2001, 2007 and 2013. The hazard ratios (HRs) and 95% confidence intervals (CI) for CVEs between categories of soybean, non-soybean and overall legumes intake were examined using marginal Cox's regression analysis.

Findings

Long-term consumptions of overall legumes more than three times per week and non-soybean three times or more per week compared with those who had less than once a week were associated with 19.5% (HR = 0.805, 95% CI: 0.650,0.998; p < 0.048) and a 18.5% (HR = 0.815, 95% CI: 0.673, 0.988; p < 0.037) lower risk of CVEs in the general population, respectively. However, our findings revealed no significant reduction in CVEs following a higher intake of soybeans.

Originality/value

In the long run, even modest consumption of legumes, but not soybeans alone, can be effective to reduce CVEs risk in a low-income population. Further studies are warranted to confirm our results in other populations, examine the associations by the type of cardiovascular events and determine any possible threshold effects in this regard.

Details

British Food Journal, vol. 123 no. 8
Type: Research Article
ISSN: 0007-070X

Keywords

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