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Single-Trial Decoding of Visual Attention from Local Field Potentials in the Primate Lateral Prefrontal Cortex Is
Sébastien Tremblay1, Guillaume Doucet2, Florian Pieper3
1Cognitive Neurophysiology Laboratory, Department of Physiology, McGill University, Montreal, Quebec, QC H3G 1Y6, Canada, Integrated Program in Neuroscience, Montreal Neurological Institute, McGill University, Montreal, Quebec, QC H3A 2B4, Canada.
High-frequency local field potentials (>60 Hz) in the lateral prefrontal cortex (LPFC) reflect attention allocation in macaques. Lower frequencies (<60 Hz) encode stimulus location and saccade endpoints, demonstrating frequency-dependent information processing in executive brain areas.
Area of Science:
- Neuroscience
- Cognitive Neuroscience
- Primate Research
Background:
- Local field potentials (LFPs) are extracellular voltage fluctuations reflecting neural activity.
- Spatial attention modulates LFPs in visual areas, but effects in executive regions like the lateral prefrontal cortex (LPFC) are less understood.
- The LPFC is crucial for the origins of attention.
Purpose of the Study:
- To investigate whether and how attention modulates LFPs in the LPFC.
- To determine if LFPs can decode attention allocation in executive brain areas.
- To compare LFP information with single-neuron spiking activity.
Main Methods:
- Recording LFPs from multielectrode arrays implanted in the LPFC of two macaques.
- Decoding attention allocation using different LFP frequency bands.
- Comparing LFP decoding performance with single-neuron spiking activity.
- Analyzing the effect of signal decorrelation on decoding performance.
Main Results:
- Attention allocation was reliably decoded from high-frequency LFPs (>60 Hz) on a single-trial basis.
- Low-frequency LFPs (<60 Hz) decoded visual stimulus location and saccade endpoints, not attention.
- Information in high-frequency LFPs was redundant with spiking activity but offered greater temporal stability.
- Decorrelating LFP signals improved high-frequency decoding performance by ~14%.
Conclusions:
- LFPs in the LPFC contain task-related information (sensory, cognitive, motor) in a frequency-dependent manner.
- High-frequency LFPs are valuable for decoding cognitive states like attention.
- LFP analysis, particularly with decorrelation techniques, provides complementary insights to spike-based analyses in executive brain regions.
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