EEG alpha map series: brain micro-states by space-oriented adaptive segmentation

Lehmann, Dietrich; Ozaki, Hisaki; Pal, Ivan

doi:10.1016/0013-4694(87)90025-3

Cited by 726 publications

(608 citation statements)

References 32 publications

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“…The former is measured in µV and, as generally agreed, indicates mostly the volume or size of neuronal assembly: Indeed, the more neurons recruited into an assembly through local synchronization of their activity, the higher the resulting amplitude of oscillations in the corresponding EEG channel [89,241]. The latter is measured in 71 One may think that the methodology of EEG segmentation, described here is identical or similar to Lehmann's technique for the momentary whole-brain electric field segmentation [267]. It is worth to stress that this is not the case.…”

Section: Mechanismmentioning

confidence: 54%

“…This mechanism has received substantial support from EEG studies: Research by Lehmann and colleagues [266,267] has demonstrated that the dynamics of the brain unified EEG field is represented by the intervals of quasi-stability (or "microstates") and by sudden transitions between them [268,269]. Furthermore, their studies have shown that these microstates are associated with different modes of spontaneous thoughts [270] or with spontaneous visual imagery, or abstract thinking [271].…”

Section: O1mentioning

confidence: 99%

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Natural world physical, brain operational, and mind phenomenal space–time

Fingelkurts

Neves

2010

Physics of Life Reviews

168

233

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Concepts of space and time are widely developed in physics. However, there is a considerable lack of biologically plausible theoretical frameworks that can demonstrate how space and time dimensions are implemented in the activity of the most complex life-system -the brain with a mind. Brain activity is organized both temporally and spatially, thus representing space-time in the brain. Critical analysis of recent research on the space-time organization of the brain's activity pointed to the existence of so-called operational space-time in the brain. This space-time is limited to the execution of brain operations of differing complexity. During each such brain operation a particular short-term spatio-temporal pattern of integrated activity of different brain areas emerges within related operational space-time. At the same time, to have a fully functional human brain one needs to have a subjective mental experience. Current research on the subjective mental experience offers detailed analysis of space-time organization of the mind. According to this research, subjective mental experience (subjective virtual world) has definitive spatial and temporal properties similar to many physical phenomena. Based on systematic review of the propositions and tenets of brain and mind space-time descriptions, our aim in this review essay is to explore the relations between the two. To be precise, we would like to discuss the hypothesis that via the brain operational space-time the mind subjective space-time is connected to otherwise distant physical space-time reality.Key words: spatial, temporal, consciousness, cognition, operation, architectonics, EEG, field, metastability, physics, coordinative dynamics, self-organization, cortex.

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Section: Mechanismmentioning

confidence: 54%

Section: O1mentioning

confidence: 99%

Natural world physical, brain operational, and mind phenomenal space–time

Fingelkurts

Neves

2010

Physics of Life Reviews

168

233

View full text Add to dashboard Cite

show abstract

“…Each interval was associated with a specific ERP scalp map and an associated estimation of current density distribution. We compared differences between the ERP scalp maps for the different learning stages as a function of time (Esslen et al 2004;Lehmann et al 1987). Statistical significance for each pair of maps was assessed nonparametrically using a randomization test (Manly 1997).…”

Section: Erp Statisticsmentioning

confidence: 99%

Neuronal Modifications During Visuomotor Association Learning Assessed by Electric Brain Tomography

et al. 2006

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Summary: In everyday life specific situations need specific reactions. Through repetitive practice, such stimulus-response associations can be learned and performed automatically. The aim of the present EEG study was the illustration of learning dependent modifications in neuronal pathways during short-term practice of visuomotor associations. Participants performed a visuomotor association task including four visual stimuli, which should be associated with four keys, learned by trial and error. We assumed that distinct cognitive processes might be dominant during early learning e.g., visual perception and decision making. Advanced learning, however, might be indicated by increased neuronal activation in integration-and memory-related regions. For assessment of learning progress, visual-and movement-related brain potentials were measured and compared between three learning stages (early, intermediate, and late). The results have revealed significant differences between the learning stages during distinct time intervals. Related to visual stimulus presentation, Low Resolution Electromagnetic Brain Tomography (LORETA) revealed strong neuronal activation in a parieto-prefrontal network in time intervals between 100-400 ms post event and during early learning. In relation to the motor response neuronal activation was significantly increased during intermediate compared to early learning. Prior to the motor response (120-360 ms pre event), neuronal activation was detected in the cingulate motor area and the right dorsal premotor cortex. Subsequent to the motor response (68-430 ms post event) there was an increase in neuronal activation in visuomotor-and memory-related areas including parietal cortex, SMA, premotor, dorsolateral prefrontal, and parahippocampal cortex. The present study has shown specific time elements of a visuomotor-memory-related network, which might support learning progress during visuomotor association learning.

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“…With the assumption that different maps are generated by the coordinated activity of different neural assemblies (Lehmann et al 1987), microstates are considered "atoms of thought", representing a sequence of different states of the conscious mind and giving rise to spontaneous mental activity (Lehmann et al 1998).…”

Section: Introductionmentioning

confidence: 99%

Association Between Resting-State Microstates and Ratings on the Amsterdam Resting-State Questionnaire

et al. 2016

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There is a gap in understanding on how physiologically observed activity is related to the subjective, internally oriented experience during resting state. Microstate analysis is a frequent approach to evaluate resting-state EEG. But the relationship of commonly observed resting-state microstates to psychological domains of resting is not clear. The Amsterdam Resting-State Questionnaire (ARSQ) was recently introduced, offering an effective way to quantify subjective states after a period of resting and associate these quantifiers to psychological and physiological variables. In a sample of 94 healthy volunteers who participated in closed-eyes 5 min. resting session with concurrent EEG recording and subsequent filling of the ARSQ we evaluated parameters of microstate Classes A, B, C, D. We showed a moderate negative association between contribution (r = -0.40) of Class C and experienced Somatic Awareness (SA). The negative correlation between Class C and SA seems reasonable as Class C becomes more dominant when connections to contextual information (and bodily sensations as assessed with SA) are loosened (in reduced attention states, during sleep, hypnosis, or psychosis). We suggest that the use of questionnaires such as the ARSQ is helpful in exploring the variation of resting-state EEG parameters and its relationship to variation in non-sensory experiences.

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EEG alpha map series: brain micro-states by space-oriented adaptive segmentation

Cited by 726 publications

References 32 publications

Natural world physical, brain operational, and mind phenomenal space–time

Natural world physical, brain operational, and mind phenomenal space–time

Neuronal Modifications During Visuomotor Association Learning Assessed by Electric Brain Tomography

Association Between Resting-State Microstates and Ratings on the Amsterdam Resting-State Questionnaire

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