Use of non-linear EEG measures to characterize EEG changes during mental activity

Stam, Cornelis J.; Woerkom, T.C.A.M. van; Pritchard, Walter S.

doi:10.1016/0013-4694(96)95638-2

Cited by 113 publications

(36 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Increased EEG dimensional complexity, indicative of an increased independence of brain processes, was reported during overall mental activation or with increased mental workload [e.g., 39,[50][51][52][53]. Thus, our results are in agreement with the conclusion derived also from behavior-and event-related potential studies [26,46] that high hypnotizables might be in a more aroused or more attentive state than low hypnotizables.…”

Section: Discussionsupporting

confidence: 91%

EEG Source Localization and Global Dimensional Complexity in High- and Low- Hypnotizable Subjects: A Pilot Study

Isotani

Lehmann²,

Pascual-Marqui³

et al. 2001

Neuropsychobiology

View full text Add to dashboard Cite

Individuals differ in hypnotizability. Information on hypnotizability-related EEG characteristics is controversial and incomplete, particularly on intracerebral source localization and EEG dimensionality. 19-channel, eyes-closed resting EEGs from right-handed, healthy, 8 high- and 4 low-hynotizable subjects (age: 26.7 ± 7.3 years) were analyzed. Hypnotizability was rated after the subjects’ ability to attain a deep hypnotic stage (amnesia). FFT Dipole Approximation analysis in seven EEG frequency bands showed significant differences (p < 0.04) of source gravity center locations for theta (6.5–8 Hz, more posterior and more left for highs), beta-1 and beta-2 frequencies (12.5–18 and 18.5–21 Hz; both more posterior and more right for highs). Low Resolution Electromagnetic Tomography (LORETA) specified the cortical anteriorization of beta-1 and beta-2 in low hypnotizables. Power spectral analysis of Global Field Power time series (curves) showed no overall power differences in any band. Full-band Global Dimensional Complexity was higher in high-hypnotizable subjects (p < 0.02). Thus, before hypnosis, high and low hypnotizables were in different brain electric states, with more posterior brain activity gravity centers (excitatory right, routine or relaxation left) and higher dimensional complexity (higher arousal) in high than low hypnotizables.

show abstract

Section: Discussionsupporting

confidence: 91%

EEG Source Localization and Global Dimensional Complexity in High- and Low- Hypnotizable Subjects: A Pilot Study

Isotani

Lehmann²,

Pascual-Marqui³

et al. 2001

Neuropsychobiology

View full text Add to dashboard Cite

show abstract

“…Similar to the findings of other groups [15,16] we observed an increase in the correlation dimension D2 during mental arithmetic and also the trend for an increase in D2 during word generation at posterior sites. With respect to the total number of significant contrasts (5), the nonlinear measures D2 and L1 ranged in the middle field.…”

Section: Discussionsupporting

confidence: 91%

“…Robust findings for nonlinear EEG characteristics are the decrease in D2 and L1 with deepness of sleep [11,12] and the reduction of D2 from eyes-opened to eyes-closed condition for the EEG when awake [13,14]. With respect to mental tasks, an increase in D2 under mental arithmetic was consistently reported by several groups [15,16].…”

Section: Introductionmentioning

confidence: 82%

Alterations of Continuous MEG Measures during Mental Activities

Fell

Röschke²,

Grözinger³

et al. 2000

Neuropsychobiology

View full text Add to dashboard Cite

In a pilot study, we investigated the topography of 11 continuous MEG measures for the eyes-opened and eyes-closed condition together with three simple mental tasks (mental arithmetic, visual imagery, word generation). One-minute recordings for each condition from 16 right-handed subjects were analyzed. The electrophysiological measures consisted of 6 spectral band measures together with spectral edge frequency and spectral entropy, plus the time-domain-based entropy of amplitudes (ENA) and the nonlinear measures correlation dimension D2 and Lyapunov exponent L1. In summary, our results indicate a pronounced task-dependent difference between the anterior and the posterior region, but no lateralization effects. Although the nonlinear measures ranged in the middle field with respect to the number of significant contrasts, they were the only ones to be partially successful in discriminating the mental tasks from each other. The most efficient measure turned out to be the ENA. Under mental activation the ENA was larger than in both no task conditions (eyes opened and eyes closed). This finding reflects lower variations of the maximum amplitude during performance of mental tasks than during no task states.

show abstract

“…Through nonlinear analysis, many experiment results have shown that the complexity parameter extracted from EEG can reflect the functional state of brain (Stam et al 1996;Lee et al 2001). For example, it is found that the complexity of the EEG activity is relatively lower in quiet sleep and highest during wakefulness (Carrozzi et al 2004).…”

Section: Introductionmentioning

confidence: 99%

Multi-scale order recurrence quantification analysis of EEG signals evoked by manual acupuncture in healthy subjects

Wang

Bian

et al. 2012

Cogn Neurodyn

View full text Add to dashboard Cite

To explore the effects of manual acupuncture (MA) on brain activities, we design an experiment that acupuncture at acupoint ST36 of right leg with four different frequencies to obtain electroencephalograph (EEG) signals. Many studies have demonstrated that the complexity of EEG can reflect the states of brain function, so we propose to adopt order recurrence quantification analysis combined with discrete wavelet transform, to analyze the dynamical characteristics of different EEG rhythms under acupuncture, further to explore the effects of MA on the complexity of brain activities from multi-scale point of view. By analyzing the complexity of five EEG rhythms, it is found that the complexity of delta rhythm during acupuncture is lower than before acupuncture, and for alpha rhythm that is higher, but for beta, theta and gamma rhythms there are no obvious changes. All of those effects are especially obvious during acupuncture with frequency of 200 times/min. Furthermore, the determinism extracted from delta, alpha and gamma rhythms can be regarded as a characteristic parameter to distinguish the state acupuncture at 200 times/min and the state before acupuncture. These results can provide a theoretical support for selecting appropriate acupuncture frequency for patients in clinical, and the proposed methods have the potential of exploring the effects of acupuncture on brain activities.

show abstract

Use of non-linear EEG measures to characterize EEG changes during mental activity

Cited by 113 publications

References 27 publications

EEG Source Localization and Global Dimensional Complexity in High- and Low- Hypnotizable Subjects: A Pilot Study

EEG Source Localization and Global Dimensional Complexity in High- and Low- Hypnotizable Subjects: A Pilot Study

Alterations of Continuous MEG Measures during Mental Activities

Multi-scale order recurrence quantification analysis of EEG signals evoked by manual acupuncture in healthy subjects

Contact Info

Product

Resources

About