Functional coupling of human right and left cortical motor areas demonstrated with partial coherence analysis

Mima, Tatsuya; Matsuoka, Takahiro; Hallett, Mark

doi:10.1016/s0304-3940(00)01165-4

Cited by 125 publications

(103 citation statements)

References 20 publications

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“…It was calculated that an individual neuron performs ~200 computations/operations per second [101]. Neurons can be excitatory and inhibitory 19 .…”

Section: Microscopic Level Of Brain Organizationmentioning

confidence: 99%

“…For similar conceptualizations see also [3,6,25,30,78,93]. 19 A voltage impulse arriving at the neuron is classified as inhibitory if it tends to make the soma voltage more negative and therefore less likely to reach threshold, and excitatory if it raises the soma voltage towards (or above) threshold.…”

Section: Microscopic Level Of Brain Organizationmentioning

confidence: 99%

“…Indeed, neurons in different brain parts oscillate at different frequencies [8][9][10] forming transient neuronal assemblies 1 [11][12][13][14][15]. These neuronal assemblies are selectively coupled or "bound" together into a coherent network each time when a person attends, perceives, memorizes, imagines, thinks, plans, and acts [16][17][18][19][20][21][22][23][24][25][26][27]. During this dynamic self-assembling 2 process different neuronal assemblies spatially located in distant parts of the brain engage and disengage in time, much like different musical pieces in a symphony [30], paralleling the emergence and vanishing of different perceptual features, objects, full scenes, and even abstract ideas in a conscious mind [31].…”

Section: Introductionmentioning

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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“…It was calculated that an individual neuron performs ~200 computations/operations per second [101]. Neurons can be excitatory and inhibitory 19 .…”

Section: Microscopic Level Of Brain Organizationmentioning

confidence: 99%

Section: Microscopic Level Of Brain Organizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

Fingelkurts

Neves

2010

Physics of Life Reviews

168

233

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“…Partial coherence was calculated using the equation below (Halliday et al 1995;Mima et al 2000;Ohara et al 2001)…”

Section: Coherence Analysismentioning

confidence: 99%

Endogenous Waves in Hippocampal Slices

Kubota¹,

Colgin²,

Casale

et al. 2003

Journal of Neurophysiology

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. Sharp waves (SPWs) are thought to play a major role in intrinsic hippocampal operations during states in which subcortical and cortical inputs to hippocampus are reduced. This study describes evidence that such activity occurs spontaneously in appropriately prepared rat hippocampal slices. Irregular waves, with an average frequency of approximately 4 Hz, were recorded from field CA3 in slices prepared from the temporal region of hippocampus. The waves persisted for hours and were not accompanied by aberrant discharges. Multi-electrode analyses established that they were locally generated within each of the subfields of CA3 and yet were coherent between subfields. The sharp waves were reversibly blocked by either cholinergic or serotonergic stimulation. Various lines of evidence indicate that they are propagated by the CA3 associational system.

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“…For example partial coherence has been used to investigate differential connectivity between neurons (Cohen et al, 1995), nerve-to-nerve coherence conditioned on arterial pulse (Larsen et al, 2000) and interhemispheric coherence with conditioning of the EEG signals by the occipital alpha rhythm (Mima et al, 2000); in each case the partial coherence order was unity. Rosenberg et al (1989) looked at small networks of neurones to detect which neurones interact directly or are influenced by common inputs; they gave examples of partial coherences of order 2, extended in Rosenberg et al (1998) to order 3, and to order 7 in Halliday (2005).…”

Section: Introductionmentioning

confidence: 99%

Graphical modelling for brain connectivity via partial coherence

Medkour

Walden

Burgess

2009

Journal of Neuroscience Methods

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Spectral and coherence methodologies are ubiquitous for the analysis of multiple time series. Partial coherence analysis may be used to try to determine graphical models for brain functional connectivity. The outcome of such an analysis may be considerably influenced by factors such as the degree of spectral smoothing, line and interference removal, matrix inversion stabilization and the suppression of effects caused by side-lobe leakage , the combination of results from different epochs and people, and multiple hypothesis testing. This paper examines each of these steps in turn and provides a possible path which produces relatively 'clean' connectivity plots. In particular we show how spectral matrix diagonal upweighting can simultaneously stabilize spectral matrix inversion and reduce effects caused by side-lobe leakage, and use the stepdown multiple hypothesis test procedure to help formulate an interaction strength.

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Functional coupling of human right and left cortical motor areas demonstrated with partial coherence analysis

Cited by 125 publications

References 20 publications

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

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

Endogenous Waves in Hippocampal Slices

Graphical modelling for brain connectivity via partial coherence

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