Literature DB >> 26085629

Single-Trial Decoding of Visual Attention from Local Field Potentials in the Primate Lateral Prefrontal Cortex Is Frequency-Dependent.

Sébastien Tremblay1, Guillaume Doucet2, Florian Pieper3, Adam Sachs4, Julio Martinez-Trujillo5.   

Abstract

Local field potentials (LFPs) are fluctuations of extracellular voltage that may reflect the physiological phenomena occurring within a volume of neural tissue. It is known that the allocation of spatial attention modulates the amplitude of LFPs in visual areas of primates. An issue that remains poorly investigated is whether and how attention modulates LFPs in executive brain areas, such as the lateral prefrontal cortex (LPFC), thought to be involved in the origins of attention. We addressed this issue by recording LFPs from multielectrode arrays implanted in the LPFC of two macaques. We found that the allocation of attention can be reliably decoded on a single-trial basis from ensembles of LFPs with frequencies >60 Hz. Using LFP frequencies <60 Hz, we could not decode the allocation of attention, but we could decode the location of a visual stimulus as well as the endpoint of saccades toward that stimulus. The information contained in the high-frequency LFPs was fully redundant with the information contained in the spiking activity of single neurons recorded from the same electrodes. Moreover, the decoding of attention using γ frequency LFPs was less accurate than using spikes, but it was twice more stable across time. Finally, decorrelating the LFP signals from the different electrodes increased decoding performance in the high frequencies by up to ∼14%. Our findings suggest that LFPs recorded from chronically implanted multielectrode arrays in the LPFC contain information about sensory, cognitive, and motor components of a task in a frequency-dependent manner.
Copyright © 2015 the authors 0270-6474/15/359038-12$15.00/0.

Entities:  

Keywords:  attention; decoding; local field potentials; multielectrode array; prefrontal cortex; primate

Mesh:

Year:  2015        PMID: 26085629      PMCID: PMC6605161          DOI: 10.1523/JNEUROSCI.1041-15.2015

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  15 in total

1.  Area- and band-specific representations of hand movements by local field potentials in caudal cingulate motor area and supplementary motor area of monkeys.

Authors:  Osamu Yokoyama; Yoshihisa Nakayama; Eiji Hoshi
Journal:  J Neurophysiol       Date:  2016-01-20       Impact factor: 2.714

2.  A neural network for online spike classification that improves decoding accuracy.

Authors:  Deepa Issar; Ryan C Williamson; Sanjeev B Khanna; Matthew A Smith
Journal:  J Neurophysiol       Date:  2020-02-26       Impact factor: 2.714

3.  Local field potentials reflect cortical population dynamics in a region-specific and frequency-dependent manner.

Authors:  Cecilia Gallego-Carracedo; Matthew G Perich; Raeed H Chowdhury; Lee E Miller; Juan Álvaro Gallego
Journal:  Elife       Date:  2022-08-15       Impact factor: 8.713

4.  Dynamic and stable population coding of attentional instructions coexist in the prefrontal cortex.

Authors:  Panagiotis Sapountzis; Sofia Paneri; Sotirios Papadopoulos; Georgia G Gregoriou
Journal:  Proc Natl Acad Sci U S A       Date:  2022-09-26       Impact factor: 12.779

5.  Transitions between Multiband Oscillatory Patterns Characterize Memory-Guided Perceptual Decisions in Prefrontal Circuits.

Authors:  Klaus Wimmer; Marc Ramon; Tatiana Pasternak; Albert Compte
Journal:  J Neurosci       Date:  2016-01-13       Impact factor: 6.167

6.  Decoding of Attentional State Using High-Frequency Local Field Potential Is As Accurate As Using Spikes.

Authors:  Surya S Prakash; Aritra Das; Sidrat Tasawoor Kanth; J Patrick Mayo; Supratim Ray
Journal:  Cereb Cortex       Date:  2021-07-29       Impact factor: 5.357

7.  Decoding of top-down cognitive processing for SSVEP-controlled BMI.

Authors:  Byoung-Kyong Min; Sven Dähne; Min-Hee Ahn; Yung-Kyun Noh; Klaus-Robert Müller
Journal:  Sci Rep       Date:  2016-11-03       Impact factor: 4.379

8.  Electrical stimulation of macaque lateral prefrontal cortex modulates oculomotor behavior indicative of a disruption of top-down attention.

Authors:  Philipp Schwedhelm; Daniel Baldauf; Stefan Treue
Journal:  Sci Rep       Date:  2017-12-18       Impact factor: 4.379

9.  Reorganization between preparatory and movement population responses in motor cortex.

Authors:  Gamaleldin F Elsayed; Antonio H Lara; Matthew T Kaufman; Mark M Churchland; John P Cunningham
Journal:  Nat Commun       Date:  2016-10-27       Impact factor: 14.919

Review 10.  Revisiting Persistent Neuronal Activity During Covert Spatial Attention.

Authors:  Julian L Amengual; Suliann Ben Hamed
Journal:  Front Neural Circuits       Date:  2021-06-30       Impact factor: 3.492

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