Intercorrelations between different cortical regions of human brain during mental activity

Livanov, M. N.; Gavrilova, N. A.; Aslanov, A. S.

doi:10.1016/0028-3932(64)90035-1

Cited by 17 publications

(8 citation statements)

References 4 publications

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“…The first theory was the neurophysiological concept of the spatial organization of brain electrical activity which proposed that the correlations between oscillatory processes in different cortical areas can indicate the functional interconnection of these areas. This theory was proposed and developed by M.N.Livanov (Livanov et al, 1964;Livanov, 1977) on the experimental basis of multichannel EEG recording. It was a pioneering approach to the EEG study of functional brain topography and the forerunner of the later boom in computerized brain mapping studies.…”

Section: Cortical Activation Eeg Topography and Neuropsychological Tmentioning

confidence: 99%

“…Our task was to try to show that the previously mentioned advanced multichannel EEG method (Livanov et al, 1964;Livanov, 1977) can detect some "specific" characteristics of the cerebral organization of mental activity via topographic patterns of cortical activation. The key problem was to devise and apply those psychological tasks that would relate to "physiologically meaningful" differences.…”

Section: Cortical Activation Eeg Topography and Neuropsychological Tmentioning

confidence: 99%

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The relationship of theory and methodology in EEG studies of mental activity

Лазарев

2006

International Journal of Psychophysiology

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Section: Cortical Activation Eeg Topography and Neuropsychological Tmentioning

confidence: 99%

Section: Cortical Activation Eeg Topography and Neuropsychological Tmentioning

confidence: 99%

The relationship of theory and methodology in EEG studies of mental activity

Лазарев

2006

International Journal of Psychophysiology

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“…Numerous studies in humans and animals provided a strong support for this perspective and showed that synchronization of neural oscillations represents a fundamental neurophysiological mechanism of integrative brain activity underlying cognition and behavior (Buzsaki and Draguhn, 2004; Fries, 2005; Jacobs et al, 2007; Livanov, 1977; Palva et al, 2005; Varela et al, 2001). Human studies have consistently shown connectivity between the prefrontal regions with widespread cortical areas during complex cognitive tasks, although patterns of connectivity showed some task specificity (Livanov, 1977; Livanov et al, 1964). …”

Section: Introductionmentioning

confidence: 99%

Genetic influences on functional connectivity associated with feedback processing and prediction error: Phase coupling of theta-band oscillations in twins

Demiral

Golosheykin

Anokhin

2017

International Journal of Psychophysiology

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Detection and evaluation of the mismatch between the intended and actually obtained result of an action (reward prediction error) is an integral component of adaptive self-regulation of behavior. Extensive human and animal research has shown that evaluation of action outcome is supported by a distributed network of brain regions in which the anterior cingulate cortex (ACC) plays a central role, and the integration of distant brain regions into a unified feedback-processing network is enabled by long-range phase synchronization of cortical oscillations in the theta band. Neural correlates of feedback processing are associated with individual differences in normal and abnormal behavior, however, little is known about the role of genetic factors in the cerebral mechanisms of feedback processing. Here we examined genetic influences on functional cortical connectivity related to prediction error in young adult twins (age 18, n=399) using event-related EEG phase coherence analysis in a monetary gambling task. To identify prediction error-specific connectivity pattern, we compared responses to loss and gain feedback. Monetary loss produced a significant increase of theta-band synchronization between the frontal midline region and widespread areas of the scalp, particularly parietal areas, whereas gain resulted in increased synchrony primarily within the posterior regions. Genetic analyses showed significant heritability of frontoparietal theta phase synchronization (24 to 46%), suggesting that individual differences in large-scale network dynamics are under substantial genetic control. We conclude that theta-band synchronization of brain oscillations related to negative feedback reflects genetically transmitted differences in the neural mechanisms of feedback processing. To our knowledge, this is the first evidence for genetic influences on task-related functional brain connectivity assessed using direct real-time measures of neuronal synchronization.

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“…T here is a growing trend in the analysis of EEG recordings to examine the similarity of recordings from different locations on the scalp (Livanov, 1964;Gevins et al, 1981) or surface of the brain (Wang and Takigowa, 1993;Gevins et al, 1994;Towle et al, 1995;Menon et al, 1996). The clinical implantation of subdural arrays of electrodes to determine the source of epileptic seizures provides an opportunity to systematically study the patterns of electrocorticographic (ECoG) power and coherence across the outer surface of the brain.…”

mentioning

confidence: 99%

Frequency Domain Analysis of Human Subdural Recordings

Towle

Hunter²,

Edgar³

et al. 2007

Journal of Clinical Neurophysiology

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It is possible to localize many aspects of cortical function and dysfunction without the use of direct electrical stimulation of cortex. This study explores the degree to which information can be obtained about functional cortical organization relative to epileptogenic regions through analysis of electrocorticographic recordings in the frequency domain. Information about the extent of seizure regions and the location of the normal sensory and motor homunculus and some higher language and memory related areas can be obtained through the analysis of task-related power spectrum changes and changes in lateral interelectrode coherence patterns calculated from interictal and ictal recordings.

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Intercorrelations between different cortical regions of human brain during mental activity

Cited by 17 publications

References 4 publications

The relationship of theory and methodology in EEG studies of mental activity

The relationship of theory and methodology in EEG studies of mental activity

Genetic influences on functional connectivity associated with feedback processing and prediction error: Phase coupling of theta-band oscillations in twins

Frequency Domain Analysis of Human Subdural Recordings

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