Changes in EEG alpha power during simulated driving: a demonstration

Schier, Mark

doi:10.1016/s0167-8760(00)00079-9

Cited by 136 publications

(72 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…decrease in low-frequency rhythm power has previously been shown to occur in human by using scalp EEG during various cognitive tasks (33)(34)(35)(36)(37). Human EEG measured directly from the cortical surface with surgically implanted subdural electrode arrays has shown similar modulations of cortical rhythms during movement (38, 39) (i.e., a spatially widespread decrease in low-frequency rhythm power with more focal increase in fast rhythm power).…”

Section: Discussionmentioning

confidence: 98%

Interactions between thalamic and cortical rhythms during semantic memory recall in human

Slotnick

Moo

Kraut

et al. 2002

Proc. Natl. Acad. Sci. U.S.A.

View full text Add to dashboard Cite

Human scalp electroencephalographic rhythms, indicative of cortical population synchrony, have long been posited to reflect cognitive processing. Although numerous studies employing simultaneous thalamic and cortical electrode recording in nonhuman animals have explored the role of the thalamus in the modulation of cortical rhythms, direct evidence for thalamocortical modulation in human has not, to our knowledge, been obtained. We simultaneously recorded from thalamic and scalp electrodes in one human during performance of a cognitive task and found a spatially widespread, phase-locked, low-frequency rhythm (7-8 Hz) power decrease at thalamus and scalp during semantic memory recall. This low-frequency rhythm power decrease was followed by a spatially specific, phase-locked, fast-rhythm (21-34 Hz) power increase at thalamus and occipital scalp. Such a pattern of thalamocortical activity reflects a plausible neural mechanism underlying semantic memory recall that may underlie other cognitive processes as well.E lectroencephalographic (EEG) fast rhythm power increases have been shown to occur during numerous cognitive tasks, including learning, reading, face perception, posture recognition, and chess playing (1-5). Cortical electrode recording in cat (6-9) and nonhuman primate (10) during visual perception indicates that phase-locked, fast rhythm power can reflect synchronous activity between distinct neuronal populations that may ''bind'' features into unitary objects. Simultaneous thalamic and cortical electrode recording in cat and thalamic computational modeling indicate that low-frequency (7-14 Hz) and fast cortical rhythms (11) are influenced by spatially widespread (12, 13) and spatially specific (14-16) thalamocortical connections, respectively. Similar to findings in cat, there is convincing evidence that human thalamus interacts with fast cortical rhythms (17,18).Although fast rhythms have been postulated to reflect other cognitive functions, the role of such rhythms in semantic recall has not been explored. Recent functional MRI (fMRI) results (19,20) suggest that the human thalamus is involved during semantic memory recall. We hypothesized that fMRI thalamic activation during semantic recall could reflect a thalamocortical interaction associated with this memory component. To investigate this possibility, we simultaneously recorded from thalamic and scalp electrodes and conducted epoch-based frequency analysis. To our knowledge, this is the first time in human when such a procedure has been conducted during a cognitive process, revealing a phase-locked, thalamocortical fast rhythm during semantic memory recall.

show abstract

Section: Discussionmentioning

confidence: 98%

Interactions between thalamic and cortical rhythms during semantic memory recall in human

Slotnick

Moo

Kraut

et al. 2002

Proc. Natl. Acad. Sci. U.S.A.

View full text Add to dashboard Cite

show abstract

“…For example, the proportion of low-frequency EEG waves, such as theta and alpha rhythms, might increase while higher-frequency waves, such as beta rhythms might decrease [6][7]. Schier (2000) used a driving simulator to observe EEG during the driving task. The results showed that the relative power of alpha increased when the attention level of the driver decreased [8].…”

Section: Introductionmentioning

confidence: 99%

“…Schier (2000) used a driving simulator to observe EEG during the driving task. The results showed that the relative power of alpha increased when the attention level of the driver decreased [8]. Lal and Craig (2003) found significant changes in theta, delta, alpha and beta of EEG during driving mental fatigue [5].…”

Section: Introductionmentioning

confidence: 99%

Physiological Assessment of Driving Mental Fatigue Using Wavelet Packet Energy and Random Forests

Zhao¹,

Zheng²,

Zhao³

et al. 2010

Am. J. Biomed. Sci.

View full text Add to dashboard Cite

Abstract:This study measured multiple physiological parameters of mental fatigue induced by the simulated driving task. The subjects' mannerisms and driving performance reveal that the driving mental fatigue is induced after long-term simulated driving. The wavelet packet energy (WPE) of EEG were used to extract the features of brain activity in the normal and the mental fatigue states, then random forests (RF) was employed to select key features for differentiating the two states. The experimental results show that the WPE of EEG and the amplitude of P300 are strongly related with driving mental fatigue. The power spectral indices of heart rate variability (HRV) indicate that the sympathetic nervous system may play a leading role and the parasympathetic nervous system is retrained at the end of driving task. Furthermore, RF method can select features effectively, reduce the dimensionality of the feature vectors significantly, and then achieve a recognition accuracy of 97%. The WPE-RF method could be a potential way of assessment of driving mental fatigue.

show abstract

“…The paper "Changes in EEG alpha power during simulated driving" (Schier, 2000) deals with the suitability of EEG-based techniques for recording drivers' activity during a driving simulation task. As the result, an increase in alpha activity was interpreted as less attentional activity and a decrease as more attentional activity.…”

Section: Previous Research Dealing With the Attention Of Driversmentioning

confidence: 99%