2008
DOI: 10.1016/j.clinph.2007.12.003
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Prediction of performance level during a cognitive task from ongoing EEG oscillatory activities

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Cited by 27 publications
(25 citation statements)
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“…In particular, we anticipated that sensory properties previously identified as drivers of refreshing perception (McEwan & Colwill, 1996;Labbe et al, 2009a) would enhance alpha and beta brain oscillations as observed in prior EEG studies (Hallschmid et al, 2002;Morinushi et al, 2000). We hypothesized that these changes in brain activation would lead to an improvement in task performance as alpha and beta oscillations have been involved in some of the cognitive processes necessary to perform the rapid visual information processing (RVIP) task, such as sustained attention and working memory (Besserve et al, 2008;Dockree, Kelly, Foxe, Reilly, & Robertson, 2007;Gross et al, 2004;Klimesch, Doppelmayr, Russegger, Pachinger, & Schwaiger, 1998;Tallon-Baudry, 2003). Finally the impact of refreshing perception on mental energy was explored over time (immediately and 15 min post consumption) since previous studies reported the perceptual long lasting properties of sensory drivers of refreshing perception such as coldness (Gwartney & Heymann, 1995;Westerink & Kozlov, 2004).…”
Section: Introductionmentioning
confidence: 89%
“…In particular, we anticipated that sensory properties previously identified as drivers of refreshing perception (McEwan & Colwill, 1996;Labbe et al, 2009a) would enhance alpha and beta brain oscillations as observed in prior EEG studies (Hallschmid et al, 2002;Morinushi et al, 2000). We hypothesized that these changes in brain activation would lead to an improvement in task performance as alpha and beta oscillations have been involved in some of the cognitive processes necessary to perform the rapid visual information processing (RVIP) task, such as sustained attention and working memory (Besserve et al, 2008;Dockree, Kelly, Foxe, Reilly, & Robertson, 2007;Gross et al, 2004;Klimesch, Doppelmayr, Russegger, Pachinger, & Schwaiger, 1998;Tallon-Baudry, 2003). Finally the impact of refreshing perception on mental energy was explored over time (immediately and 15 min post consumption) since previous studies reported the perceptual long lasting properties of sensory drivers of refreshing perception such as coldness (Gwartney & Heymann, 1995;Westerink & Kozlov, 2004).…”
Section: Introductionmentioning
confidence: 89%
“…The values in the work curve allowed for the calculation of six separate and largely independent factors (partial measures, see below). Their interpretation was based on Kraepelin's studies [3], in addition to others [19,35]: a) Performance measurements -the total number of addition operations (number of operations a person performed during the test, including mistakes and corrections), the number of operations in the first three-minute time period (Y1, the score obtained during the first three minutes of the test, which is the indicator of previous experience in addition), the maximum number of addition operations in a three-minute time period (without the first time period, which reflects the subject's highest possible working rate); b) Measurements of energy and persistence -percentage increase (the difference between means of the first and last four three-minute time periods expressed in percentage terms), half ratio (the quotient of the total number of addition operations from the period that consists of the ten final three-minute time periods [11][12][13][14][15][16][17][18][19][20] and the first ten periods [1][2][3][4][5][6][7][8][9][10]) and location of the maximum (the threeminute period when the subject performed the highest number of addition operations, not including the first period); c) Measurements of quick adaptation and effort without self-restraint -convexity I (the difference between the general number of addition operations during the first four and last four time periods multiplied by the mean elevation of the curve and divided by the number of time periods), convexity II (the difference between the overall number of addition operations in time for the first five and last five time periods and the number of addition operations in the other middle ten time periods); d) Measurements of variability (or constancy), which determine indices of oscillation around the even curve (average deviation from the third to the eighteenth time period); e) Measurements of accuracy and diligence are determined by the mistake ratio (the overall number of mistakes as a percentage of a general number of addition operations) and the correction ratio (the percentage of the overall number of addition operations); f) Measurements of additional factors are determined by the initial decline (the difference between the number of addition operations in the first time period and the lowe...…”
Section: Methodsmentioning
confidence: 99%
“…Therefore, it is very likely that this occurs through the increased autotelic engagement of an athlete during a competition. Previous studies have demonstrated that neurofeedback training has helped athletes improve their performance in sports [5,12,15,16,17,28,31]. It has been shown, for instance, that neurofeedback-EEG training used to enhance the power of beta 1 and SMR waves in archers, gymnasts, ice skaters and skiers reduces anxiety and improves concentration and control of emotions and motor coordination [16].…”
Section: Introductionmentioning
confidence: 99%
“…These classifier have been resulted in moderate classification accuracy for up to three [88], four [89], and five [39] distinct emotions. Other researchers have made efforts to study the operator engagement, fatigue, and workload by using EEG signals with respect to complexity of a task [90][91][92][93][94].…”
mentioning
confidence: 99%