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Related Experiment Video

Updated: May 29, 2026

Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice

Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice

Published on: June 29, 2018

Network rhythms influence the relationship between spike-triggered local field potential and functional connectivity.

Supratim Ray¹, John H R Maunsell

¹Department of Neurobiology and Howard Hughes Medical Institute, Harvard Medical School, Boston, Massachusetts 02115, USA. sray@cns.iisc.ernet.in

The Journal of Neuroscience : the Official Journal of the Society for Neuroscience

|September 2, 2011

Summary

Spike-triggered LFP averages in monkey visual cortex revealed two distinct signal components, not a traveling wave. Network activity influences functional connectivity measures, emphasizing careful interpretation of spike-triggered averages.

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Area of Science:

Neuroscience
Computational Neuroscience
Systems Neuroscience

Background:

Understanding neural functional connectivity is crucial for deciphering brain function.
Previous studies suggested outward-traveling Local Field Potential (LFP) waves generated by spikes and stimulus contrast-dependent connectivity strength.

Purpose of the Study:

To test hypotheses regarding spike-generated LFP waves and stimulus contrast effects on functional connectivity.
To investigate the underlying mechanisms of spike-triggered LFP averages (STA) and their interpretation.

Main Methods:

Recorded spikes and LFPs using multielectrode arrays in monkey visual cortex.
Analyzed spike-triggered LFP averages (STA) to examine signal latency, shape, and distance-dependent attenuation.
Differentiated signal components based on their temporal and spatial characteristics.

Main Results:

Detailed STA analysis revealed two distinct components: a transient spike-locked negativity and a slower, low-frequency rhythm.
The apparent traveling wave was explained by the changing contributions of these two fixed components with distance.
Stimulus presentation attenuated the low-frequency rhythm, reducing overall STA magnitude.

Conclusions:

The observed LFP shifts attributed to traveling waves are artifacts of combining distinct, fixed signal components.
Network activity, specifically the low-frequency rhythm, significantly impacts STA and functional connectivity estimations.
Accurate interpretation of functional connectivity requires accounting for underlying network dynamics and STA component contributions.