Fuzzy clustering of eeg signal and vigilance performance

Gath, Isak; Lehmann, Dietrich; Bar-On, Ehud

doi:10.3109/00207458308986584

Cited by 31 publications

(14 citation statements)

References 18 publications

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“…However, the present results together with our previous works provided a definite conclusion that facilitating positions of an extremity produced generalized behavioral alertness, representing striking parallel to the findings of alpha augmentation in fast RTs (Surwillo 1969;Creutzfeldt et al 1976;Gath et al 1983). …”

Section: Discussionsupporting

confidence: 90%

EEG activation induced by facilitating position.

Hosokawa

Nakamura

Kosaka

et al. 1985

Tohoku J. Exp. Med.

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Miyagi989-68 HOSOKAWA, T., NAKAMURA, R., KOSAKA, K. and CHIDA, T. EEG Activation Induced by Facilitating Position. Tohoku J. exp. Med., 1985, 147 (2), 191-197 The effect of facilitating position of the lower extremity on EEG states was examined through topographical analysis of spectral power for each major frequency band in 8 healthy male subjects. Compared to neutral position, facilitating position of the left or right lower extremity produced significant changes in spectral power, especially in terms of non-specific increase at alpha band (8-12.8 Hz). These results provide further evidence of arousal shift induced by facilitating position, and suggest that EEG topography is a suitable indicator of monitoring the effect of facilitating position. facilitating position ; EEG topography ; alpha rhythm ; arousal Simple reaction time (RT) experiments have demonstrated that passive changes of the posture influence behavioral alertness (Maria 1970 ;Nakamura et al. 1976). For instance, RTs of the upper or lower extremity were shorter at facilitating positions, utilized in proprioceptive neuromuscular facilitation technique, than at neutral position (Nakamura and Viel 1974). The effect of facilitating position on RTs, however, was not limited on the body part manipulated, i. e., a facilitating position of the lower extremity induced more rapid initiation ofvocal response than midposition of the hip. This phenomenon is attributed to the upward shift of arousal level (Nakamura 1983).On the other hand, a relationship between EEG activation and behavioral alertness has been intensively investigated (Andreassi 1980). Surwillo (1969) found, measuring amplitude and frequency of EEGs in the interval of time between stimulus presentation and initiation of response, that RTs were shorter with larger amplitude and higher frequency of EEGs. Creutzfeldt et al. (1976) reported that the increase of average alpha frequency was paralleled by the decrease of RT. Oath et al. (1983), using the autoregressive method for classification of EEG data, found that auditory choice RT was significantly shorter during occurrences of alpha segments than during occurrences of non-alpha segments.

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Section: Discussionsupporting

confidence: 90%

EEG activation induced by facilitating position.

Hosokawa

Nakamura

Kosaka

et al. 1985

Tohoku J. Exp. Med.

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“…Here, we fill this gap by showing that activity in a cingulo-insular-thalamic network is positively correlated with the GFP of oscillations in the alpha (and to some extent beta) band of the simultaneously recorded EEG. This finding matches EEG signatures of tonic alertness (Gath et al, 1983;Makeig and Inlow, 1993;Makeig and Jung, 1995;Haig and Gordon, 1998;Lockley et al, 2006;Dockree et al, 2007) and hence corroborates our previous functional interpretation of at least one functional role of this brain network.…”

Section: Introductionsupporting

confidence: 90%

“…We based our investigation on results from related settings used to characterize the electroencephalographic signatures of tonic alertness in ongoing activity (Gath et al, 1983;Makeig and Inlow, 1993;Haig and Gordon, 1998). We reasoned that if our functional interpretation was correct, in the absence of any paradigm fluctuations in vigilance as indicated in the electroencephalogram should be associated with fluctuations in activity of this putative alertness network and vice versa.…”

Section: Introductionmentioning

confidence: 99%

Intrinsic Connectivity Networks, Alpha Oscillations, and Tonic Alertness: A Simultaneous Electroencephalography/Functional Magnetic Resonance Imaging Study

Sadaghiani¹,

Scheeringa²,

Lehongre³

et al. 2010

J. Neurosci.

461

384

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Trial-by-trial variability in perceptual performance on identical stimuli has been related to spontaneous fluctuations in ongoing activity of intrinsic functional connectivity networks (ICNs). In a paradigm requiring sustained vigilance for instance, we previously observed that higher prestimulus activity in a cingulo-insular-thalamic network facilitated subsequent perception. Here, we test our proposed interpretation that this network underpins maintenance of tonic alertness. We used simultaneous acquisition of functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) in the absence of any paradigm to test an ensuing hypothesis, namely that spontaneous fluctuations in this ICNЈs activity (as measured by fMRI) should show a positive correlation with the electrical signatures of tonic alertness (as recorded by concurrent EEG). We found in human subjects (19 male, 7 female) that activity in a network comprising dorsal anterior cingulate cortex, anterior insula, anterior prefrontal cortex and thalamus is positively correlated with global field power (GFP) of upper alpha band (10 -12 Hz) oscillations, the most consistent electrical index of tonic alertness. Conversely, and in line with earlier findings, alpha band power was negatively correlated with activity in another ICN, the so-called dorsal attention network which is most prominently involved in selective spatial attention. We propose that the cingulo-insular-thalamic network serves maintaining tonic alertness through generalized expression of cortical alpha oscillations. Attention is mediated by activity in other systems, e.g., the dorsal attention network for space, selectively disrupts alertness-related suppression and hence manifests as local attenuation of alpha activity.

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“…For a more detailed description of the methods of data analysis the reader is referred to Gath & Bar-On (1980), Gath et al (1981, 1983.…”

Section: Discussionmentioning

confidence: 99%

Electrophysiological aspects of benzodiazepine antagonists, Ro 15‐1788 and Ro 15‐3505.

Gath¹,

Weidenfeld²,

Collins³

et al. 1984

Brit J Clinical Pharma

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The comparative action of two specific benzodiazepine antagonists, Ro 15‐1788 and Ro 15‐3505 was examined in six healthy volunteers. Medication was given i.v. in a double‐blind cross over pattern, and EEG was recorded throughout each experimental session. Ten minutes after the injection of one of the antagonists or placebo, midazolam was injected in incremental doses until first signs of drowsiness appeared in the EEG. The EEG was computer analyzed, using adaptive segmentation and time‐dependent clustering. Continuous power profiles for various frequency bands, as well as power ratios for the physiological frequency bands (e.g. sigma/alpha power ratio) were generated. It has been found that sigma/alpha power ratio was the most sensitive parameter detecting early effects of midazolam on the EEG signal, thus enabling a semi‐quantitative titration of the antagonists by midazolam. Ro 15‐1788 in doses of 5 mg i.v. was counteracted on average by 7.3 mg midazolam. From the EEG analysis it has been found that Ro 15‐3505 was at least 4‐5 times more potent than Ro 15‐1788.

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Fuzzy clustering of eeg signal and vigilance performance

Cited by 31 publications

References 18 publications

EEG activation induced by facilitating position.

EEG activation induced by facilitating position.

Intrinsic Connectivity Networks, Alpha Oscillations, and Tonic Alertness: A Simultaneous Electroencephalography/Functional Magnetic Resonance Imaging Study

Electrophysiological aspects of benzodiazepine antagonists, Ro 15‐1788 and Ro 15‐3505.

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