Changes in EEG activity before and after exhaustive exercise in sedentary women in neutral and hot environments

Ftaiti, Foued; Kacem, Anis; Jaidane, Nadia; Tabka, Zouhaïr; Dogui, Mohamed

doi:10.1016/j.apergo.2010.01.008

Cited by 34 publications

(28 citation statements)

References 52 publications

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“…In line with these findings, high alpha activity and/or low beta activity in the frontal lobe were observed after running at high intensity (Brümmer, Schneider, Abel, Vogt, & Strüder, 2011;Schneider et al, 2009). Moreover, an increase of frontal alpha/beta ratio was found during exercise in the heat as well as in normothermic conditions (room temperature: 20°C) (Ftaiti, Kacem, Jaidane, Tabka, & Dogui, 2010;Kacem et al, 2014). This change has been related to an increase in rating of perceived exertion (Nybo & Nielsen, 2001) and reduced time to exhaustion during stationary cycling (Ftaiti et al, 2010).…”

Section: Introductionmentioning

confidence: 94%

“…Moreover, an increase of frontal alpha/beta ratio was found during exercise in the heat as well as in normothermic conditions (room temperature: 20°C) (Ftaiti, Kacem, Jaidane, Tabka, & Dogui, 2010;Kacem et al, 2014). This change has been related to an increase in rating of perceived exertion (Nybo & Nielsen, 2001) and reduced time to exhaustion during stationary cycling (Ftaiti et al, 2010). An increase of frontal alpha/beta ratio during exercise is also suggested by the transient hypofrontality hypothesis (Dietrich, 2006), which posits that intense exercise causes a deactivation of the frontal brain region due to limited resources of the brain.…”

Section: Introductionmentioning

confidence: 94%

“…For both bandwidths, mean activity was exported and normalised to the average power of the same frequency band during the recordings at rest (eyes open). Similar to previous studies (Ftaiti et al, 2010;Nybo & Nielsen, 2001), the relative alpha/beta ratio was calculated from normalised mean activity to reduce interpersonal and trial-to-trial variation. The EEG data acquisition and processing methods used in the present study have been shown to provide acceptable levels of test-retest reliability (ICC = 0.7-0.8) for the alpha and beta power during cycling at 90 rpm (Ludyga, 2014).…”

Section: Eeg Recordingsmentioning

confidence: 99%

See 2 more Smart Citations

Four weeks of high cadence training alter brain cortical activity in cyclists

Ludyga

Hottenrott

Gronwald

2016

Journal of Sports Sciences

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Exercise at different cadences might serve as potential stimulus for functional adaptations of the brain, because cortical activation is sensitive to frequency of movement. Therefore, we investigated the effects of high (HCT) and low cadence training (LCT) on brain cortical activity during exercise as well as endurance performance. Cyclists were randomly assigned to low and high cadence training. Over the 4-week training period, participants performed 4 h of basic endurance training as well as four additional cadence-specific exercise sessions, 60 min weekly. At baseline and after 4 weeks, participants completed an incremental exercise test with spirometry and exercise at constant load with registration of electroencephalogram (EEG). Compared with LCT, a greater increase of frontal alpha/beta ratio was confirmed in HCT. This was based on a lower level of beta activity during exercise. Both groups showed similar improvements in maximal oxygen consumption and power at the individual anaerobic threshold. Whereas HCT and LCT elicit similar benefits on aerobic performance, cycling at high pedalling frequencies enables participants to perform an exercise bout with less cortical activation.

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Section: Introductionmentioning

confidence: 94%

Section: Introductionmentioning

confidence: 94%

Section: Eeg Recordingsmentioning

confidence: 99%

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Four weeks of high cadence training alter brain cortical activity in cyclists

Ludyga

Hottenrott

Gronwald

2016

Journal of Sports Sciences

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“…It is well established that exercise-induced hyperthermia negatively affects the ability to sustain prolonged physical efforts through mechanisms that have not yet been elucidated. In particular, marked increases in the temperature of the brain, one of the sites where T core is measured, have been associated with high rates of perceived exertion (4) and alterations in cerebral function (5). …”

Section: Introductionmentioning

confidence: 99%

Association between the increase in brain temperature and physical performance at different exercise intensities and protocols in a temperate environment

Kunstetter

Wanner

Madeira

et al. 2014

Braz J Med Biol Res

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There is evidence that brain temperature (Tbrain) provides a more sensitive index than other core body temperatures in determining physical performance. However, no study has addressed whether the association between performance and increases in Tbrain in a temperate environment is dependent upon exercise intensity, and this was the primary aim of the present study. Adult male Wistar rats were subjected to constant exercise at three different speeds (18, 21, and 24 m/min) until the onset of volitional fatigue. Tbrain was continuously measured by a thermistor inserted through a brain guide cannula. Exercise induced a speed-dependent increase in Tbrain, with the fastest speed associated with a higher rate of Tbrain increase. Rats subjected to constant exercise had similar Tbrain values at the time of fatigue, although a pronounced individual variability was observed (38.7-41.7°C). There were negative correlations between the rate of Tbrain increase and performance for all speeds that were studied. These results indicate that performance during constant exercise is negatively associated with the increase in Tbrain, particularly with its rate of increase. We then investigated how an incremental-speed protocol affected the association between the increase in Tbrain and performance. At volitional fatigue, Tbrain was lower during incremental exercise compared with the Tbrain resulting from constant exercise (39.3±0.3 vs 40.3±0.1°C; P<0.05), and no association between the rate of Tbrain increase and performance was observed. These findings suggest that the influence of Tbrain on performance under temperate conditions is dependent on exercise protocol.

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“…The participant's mental and physical fatigue level was monitored by using a subjective questionnaire after each trial. Controlling fatigue is necessary because experimental evidence showed that EEG patterns might be influenced by both physical and mental fatigue (Okogbaa, Shell, and Filipusic 1994;Ftaiti et al 2010). The total experiment lasted about 40 min excluding preparation of EEG measurement, resting time and time spent in filling out questionnaires.…”

Section: Methodsmentioning

confidence: 99%

Predicting numerical data entry errors by classifying EEG signals with linear discriminant analysis

Lin

2014

Behaviour & Information Technology

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Daily numerical data entry is subject to human errors, and errors in numerical data can cause serious losses in health care, safety and finance. Difficulty in detecting errors by human operators in numerical data entry necessitates an early error detection/prediction mechanism to proactively prevent severe accidents. To explore the possibility of using multi-channel electroencephalography (EEG) collected before movements/reactions to detect/predict human errors, linear discriminant analysis (LDA) classifier was utilised to predict numerical typing errors before their occurrence in numerical typing. Single trial EEG data were collected from seven participants during numerical hear-and-type tasks and three temporal features were extracted from six EEG sites in a 150-ms time window. The sensitivity of LDA classifier was revealed by adjusting the critical ratio of two Mahalanobis distances as a classification criterion. On average, the LDA classifier was able to detect 74.34% of numerical typing errors in advance with only 34.46% false alarms, resulting in a sensitivity of 1.05. A cost analysis also showed that using the LDA classifier would be beneficial as long as the penalty is at least 15 times the cost of inspection when the error rate is 5%. LDA demonstrated its realistic potential in detecting/predicting relatively few errors in numerical data without heavy pre-processing. This is one step towards predicting and preventing human errors in perceptual-motor tasks before their occurrence.

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Changes in EEG activity before and after exhaustive exercise in sedentary women in neutral and hot environments

Cited by 34 publications

References 52 publications

Four weeks of high cadence training alter brain cortical activity in cyclists

Four weeks of high cadence training alter brain cortical activity in cyclists

Association between the increase in brain temperature and physical performance at different exercise intensities and protocols in a temperate environment

Predicting numerical data entry errors by classifying EEG signals with linear discriminant analysis

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