Sensorimotor EEG rhythms and their connection to local/global neocortical dynamic theory

2000 ◽  
Vol 23 (3) ◽  
pp. 399-400 ◽  
Author(s):  
Colin Andrew
Keyword(s):  
Cortical Area ◽  
Dynamic Theory ◽  
Rhythmic Activity ◽  
Eeg Rhythms ◽  
Eeg Activity ◽  
Sensorimotor Rhythms ◽  
40 Hz

The EEG activity recorded from the human sensorimotor cortical area exhibits rhythmic activity covering a broad range of frequencies, including alpha, mu, beta, and gamma (40-Hz) rhythms. This commentary elaborates on connections between these sensorimotor rhythms and Nunez's neocortical dynamic theory.

The association of age and aerobic activity history with 40-Hz EEG activity during cognitive challenge

1996 ◽  
Author(s):  
B. Hatfield ◽  
D. Santa Maria ◽  
T. Spalding ◽  
C. Blanchard ◽  
A. Haufler ◽  
...  
Keyword(s):  
Eeg Activity ◽  
Aerobic Activity ◽  
Cognitive Challenge ◽  
40 Hz

scholarly journals Infraslow EEG activity modulates cortical excitability in postanoxic encephalopathy

2015 ◽  
Vol 113 (9) ◽  
pp. 3256-3267 ◽  
Author(s):  
Michel J. A. M. van Putten ◽  
Marleen C. Tjepkema-Cloostermans ◽  
Jeannette Hofmeijer
Keyword(s):  
Cortical Excitability ◽  
Rhythmic Activity ◽  
Burst Suppression ◽  
Eeg Activity ◽  
Scalp Eeg ◽  
Full Band ◽  
Eeg Power ◽  
Low Amplitude ◽  
The Relationship ◽  
Postanoxic Encephalopathy

Infraslow activity represents an important component of physiological and pathological brain function. We study infraslow activity (<0.1 Hz) in 41 patients with postanoxic coma after cardiac arrest, including the relationship between infraslow activity and EEG power in the 3–30 Hz range, using continuous full-band scalp EEG. In all patients, infraslow activity (0.015–0.06 Hz) was present, irrespective of neurological outcome or EEG activity in the conventional frequency bands. In two patients, low-amplitude (10–30 μV) infraslow activity was present while the EEG showed no rhythmic activity above 0.5 Hz. In 13/15 patients with a good outcome and 20/26 patients with a poor one, EEG power in the 3–30 Hz frequency range was correlated with the phase of infraslow activity, quantified by the modulation index. In 9/14 patients with burst-suppression with identical bursts, bursts appeared in clusters, phase-locked to the infraslow oscillations. This is substantiated by a simulation of burst-suppression in a minimal computational model. Infraslow activity is preserved in postanoxic encephalopathy and modulates cortical excitability. The strongest modulation is observed in patients with severe postanoxic encephalopathy and burst-suppression with identical bursts.

Cortical oscillations and temporal interactions in a computer simulation of piriform cortex

1992 ◽  
Vol 67 (4) ◽  
pp. 981-995 ◽  
Author(s):  
M. Wilson ◽  
J. M. Bower
Keyword(s):  
Large Scale ◽  
Activity Patterns ◽  
Piriform Cortex ◽  
Afferent Fiber ◽  
Field Potential ◽  
Afferent Input ◽  
Fiber System ◽  
Eeg Activity ◽  
Electrical Shocks ◽  
40 Hz

1. A large-scale computer model of the piriform cortex was constructed on the basis of the known anatomic and physiological organization of this region. 2. The oscillatory field potential and electroencephalographic (EEG) activity generated by the model was compared with actual physiological results. The model was able to produce patterns of activity similar to those recorded physiologically in response to both weak and strong electrical shocks to the afferent input. The model also generated activity patterns similar to EEGs recorded in behaving animals. 3. In addition to replicating known physiological responses, it has been possible to use the simulations to explore the interactions of network components that might underlie these responses. This analysis suggests that the physiological properties of the cortex are dependent on the complex interaction of both network and cellular properties. In particular, we have found that the relationship between conduction velocities in intrinsic cortical fiber systems and the time constants of excitatory and inhibitory effects are critical for replicating physiological results. 4. Analysis of the model also suggests a correspondence between the 40-Hz oscillatory patterns of activity induced by low levels of odor-like stimulation and oscillatory patterns seen in lightly anesthetized cortex in response to weak electrical shocks to the afferent fiber system. 5. The specific relationships we have found between the different components of the model also support several speculations on their functional significance. The simulations suggest that during each 40-Hz cycle of EEG activity there is a convergence in rostral cortex of afferent information from the olfactory bulb and recurrent association fiber information from caudal cortex. This convergence could underlie an iterative process central to the recognition of complex olfactory stimuli.

Decreases in 40-Hz EEG Activity in the Olfactory Bulb Following γ-Irradiation of the Cat

1971 ◽  
Vol 46 (2) ◽  
pp. 343 ◽  
Author(s):  
Barbara P. Uzzell ◽  
Daniel E. Sheer
Keyword(s):  
Olfactory Bulb ◽  
Γ Irradiation ◽  
Eeg Activity ◽  
40 Hz

scholarly journals CHANGES IN PATTERNS OF SENSORIMOTOR EEG RHYTHMS DURING MOTOR IMAGERY

2016 ◽  
Vol 1 (1) ◽  
pp. 46-51
Author(s):  
VF F Pyatin ◽  
AV V Kolsanov ◽  
MS S Segreeva ◽  
ES S Korovina ◽  
AV V Zakharov
Keyword(s):  
Motor Imagery ◽  
Degrees Of Freedom ◽  
Individual Characteristics ◽  
Lower Limbs ◽  
Dominant Hand ◽  
Eeg Rhythms ◽  
Common Spatial Pattern ◽  
Right Hand ◽  
The Right ◽  
Sensorimotor Rhythms

Aim - the determination of common and individual characteristics in patterns of sensorimotor rhythms of EEG during motor imagery in upper and lower limbs. Materials and methods. 20 right-handed students of Samara State Medical University at the age of 18-20 years took part in the investigation, signing informed consent. Monopolar EEG was recorded with the use of 128-channel EEG recording system (BP-010302 BrainАmpStandart 128) at rest and during the imagining of monovector movements in 4 limbs (bending fingers of the right hand, bending fingers of the left hand, dorsiflexion of the right foot, dorsiflexion of the left foot); and during the imagining of triple-vector movements in the dominant hand (fingers bending, elbow flexion, wrist rotation). The following programs and methods were used during the processing of EEG: MatLab, IBM SPSS Statistics 22, ICA (independent component analysis), CSP (Common Spatial Pattern), LORETA. Results. It was found out that alpha2- and beta2- EEG frequency bands are highly significant for the formation of contralateral activation focus during motor imagery in the 4 limbs. ERD / ERS of the EEG rhythms were more pronounced during imagining movements in the dominant limbs (right hand, right leg) than in non-dominant.We found individuality of responses of sensorimotor EEG rhythms in addition to the general trends of EEG changes during imagination of one-type movement in the 4 limbs. The significance of changes in the power of EEG sensorimotor rhythms for differentiating 3 degrees of freedom during motor imagery in one limb was not found. Conclusion. Event-related desynchronization/synchro-nization(ERD/ERS) of sensorimotor EEG rhythms related to motor imagery has individual characteristics and their classification will lead to the significant increase of the number of degrees of freedom in creation and implementation of BCI.

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