Frequency-Band Coupling in Surface EEG Reflects Spiking Activity in Monkey Visual Cortex

@article{Whittingstall2009FrequencyBandCI,
  title={Frequency-Band Coupling in Surface EEG Reflects Spiking Activity in Monkey Visual Cortex},
  author={Kevin Whittingstall and Nikos K. Logothetis},
  journal={Neuron},
  year={2009},
  volume={64},
  pages={281-289}
}
View on Elsevier
doi.org
324 Citations
Highly Influential Citations
10
Background Citations
143
Methods Citations
15
Results Citations
15

Figures from this paper

324 Citations

Effects of neural synchrony on surface EEG.
TLDR
It is shown that neural synchrony can modulate EEG signals independently of amplitude changes in neural activity, and this finding has strong implications for the interpretation of EEG in basic and clinical research and helps reconcile EEG response discrepancies observed in different modalities.
Frequency specific spatial interactions in human electrocorticography: V1 alpha oscillations reflect surround suppression
Understanding the relationships between spike rate and delta/gamma frequency bands of LFPs and EEGs using a local cortical network model
High-frequency EEG covaries with spike burst patterns detected in cortical neurons.
TLDR
It is shown that variable spike burst responses following peripheral stimulation in behaving macaque monkeys are accompanied by variations in the concomitant epidural hf-EEG, suggesting that they were generated within the thalamocortical network.
Stimulus-dependent spiking relationships with the EEG.
TLDR
It is hypothesized that individual neurons have idiosyncratic relationships to large-scale network activity indexed by EEG signals, owing to the neurons' distinct computational roles within the local circuitry.
Dynamic Modulation of Local Population Activity by Rhythm Phase in Human Occipital Cortex During a Visual Search Task
TLDR
For the first time, the physiology underlying brain rhythms actively suppresses and releases cortical areas on a second-to-second basis during visual processing and it is demonstrated that the rhythms interact with one another across frequency ranges, and across cortical sites.
Alpha and high gamma phase amplitude coupling during motor imagery and weighted cross-frequency coupling to extract discriminative cross-frequency patterns
EEG phase patterns reflect the selectivity of neural firing.
TLDR
These findings support a neural basis for stimulus selective and entrained EEG phase patterns and reveal a level of interrelation between encephalographic signals and neural firing beyond simple amplitude covariations in both signals.
Holo-Hilbert Spectral-based Removal of Gamma-Band Noise from Simultaneous EEG-fMRI Recordings
TLDR
This paper presents a method of MR-induced noise removal from the gamma band of EEG that is based on Holo-Hilbert spectral analysis (HHSA), but with a new implementation strategy and demonstrates that the proposed method effectively reduces artifacts while preserving the original signal.
The Phase of Ongoing Oscillations Mediates the Causal Relation between Brain Excitation and Visual Perception
TLDR
Investigating the phase of prestimulus oscillatory activity found a systematic relationship between prepulse EEG phase and perceptual performance: phosphene probability changed by ∼15% between opposite phases, providing direct evidence for a chain of causal relations between thephase of ongoing oscillations, neuronal excitability, and visual perception.
...
...

References

SHOWING 1-10 OF 56 REFERENCES
An oscillatory hierarchy controlling neuronal excitability and stimulus processing in the auditory cortex.
TLDR
It is proposed that the hierarchical organization of ambient oscillatory activity allows auditory cortex to structure its temporal activity pattern so as to optimize the processing of rhythmic inputs.
Cross-frequency coupling of brain oscillations indicates the success in visual motion discrimination
Coupling between Neuronal Firing Rate, Gamma LFP, and BOLD fMRI Is Related to Interneuronal Correlations
Comparing the Feature Selectivity of the Gamma-Band of the Local Field Potential and the Underlying Spiking Activity in Primate Visual Cortex
TLDR
This work examines the relationship of the local field potential to the activity of localized populations of neurons by simultaneously recording spiking activity and LFP from the primary visual cortex of awake, behaving macaques to conclude that the gamma-band of the LFP seems to sample an area considerably larger than orientation columns.
Neurophysiology of the BOLD fMRI Signal in Awake Monkeys
Neuronal activities underlying the electroencephalogram and evoked potentials of sleeping and waking: Implications for information processing
  • A. Coenen
  • Biology
    Neuroscience & Biobehavioral Reviews
  • 1995
High Gamma Power Is Phase-Locked to Theta Oscillations in Human Neocortex
TLDR
The results indicate that transient coupling between low- and high-frequency brain rhythms coordinates activity in distributed cortical areas, providing a mechanism for effective communication during cognitive processing in humans.
Low-Frequency Local Field Potentials and Spikes in Primary Visual Cortex Convey Independent Visual Information
TLDR
It is found that the most informative LFP frequency ranges were 1–8 and 60–100 Hz, as well as strong positive signal correlation within high-gamma LFPs, suggesting that high-Gamma L FPs and spikes are generated within the same network.
Inferring spike trains from local field potentials.
TLDR
It is found that in the primary visual cortex of monkeys, spikes can indeed be inferred from LFPs, at least with moderate success, and the low-frequency structure in spike trains can be inferred with reasonable accuracy, whereas exact spike positions are not reliably predicted.
Grouping of brain rhythms in corticothalamic systems
...
...