Literature DB >> 32852540

Decision Signals in the Local Field Potentials of Early and Mid-Level Macaque Visual Cortex.

Aravind Krishna1,2, Seiji Tanabe1, Adam Kohn1,3,4.   

Abstract

The neural basis of perceptual decision making has typically been studied using measurements of single neuron activity, though decisions are likely based on the activity of large neuronal ensembles. Local field potentials (LFPs) may, in some cases, serve as a useful proxy for population activity and thus be useful for understanding the neural basis of perceptual decision making. However, little is known about whether LFPs in sensory areas include decision-related signals. We therefore analyzed LFPs recorded using two 48-electrode arrays implanted in primary visual cortex (V1) and area V4 of macaque monkeys trained to perform a fine orientation discrimination task. We found significant choice information in low (0-30 Hz) and higher (70-500 Hz) frequency components of the LFP, but little information in gamma frequencies (30-70 Hz). Choice information was more robust in V4 than V1 and stronger in LFPs than in simultaneously measured spiking activity. LFP-based choice information included a global component, common across electrodes within an area. Our findings reveal the presence of robust choice-related signals in the LFPs recorded in V1 and V4 and suggest that LFPs may be a useful complement to spike-based analyses of decision making.
© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permission@oup.com.

Entities:  

Keywords:  beta; choice analysis; gamma; perceptual decision making; visual discrimination

Mesh:

Year:  2021        PMID: 32852540      PMCID: PMC7727373          DOI: 10.1093/cercor/bhaa218

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   5.357


  80 in total

Review 1.  Decision-related activity in sensory neurons: correlations among neurons and with behavior.

Authors:  Hendrikje Nienborg; Marlene R Cohen; Bruce G Cumming
Journal:  Annu Rev Neurosci       Date:  2012-04-05       Impact factor: 12.449

2.  Gamma-band synchronization in visual cortex predicts speed of change detection.

Authors:  Thilo Womelsdorf; Pascal Fries; Partha P Mitra; Robert Desimone
Journal:  Nature       Date:  2005-12-21       Impact factor: 49.962

3.  Local field potential in cortical area MT: stimulus tuning and behavioral correlations.

Authors:  Jing Liu; William T Newsome
Journal:  J Neurosci       Date:  2006-07-26       Impact factor: 6.167

Review 4.  Neuronal gamma-band synchronization as a fundamental process in cortical computation.

Authors:  Pascal Fries
Journal:  Annu Rev Neurosci       Date:  2009       Impact factor: 12.449

5.  Gamma Synchronization between V1 and V4 Improves Behavioral Performance.

Authors:  Gustavo Rohenkohl; Conrado Arturo Bosman; Pascal Fries
Journal:  Neuron       Date:  2018-10-11       Impact factor: 17.173

Review 6.  Visual perception and saccadic eye movements.

Authors:  Michael Ibbotson; Bart Krekelberg
Journal:  Curr Opin Neurobiol       Date:  2011-06-07       Impact factor: 6.627

Review 7.  Linking V1 Activity to Behavior.

Authors:  Eyal Seidemann; Wilson S Geisler
Journal:  Annu Rev Vis Sci       Date:  2018-07-05       Impact factor: 6.422

8.  Alpha and gamma oscillations characterize feedback and feedforward processing in monkey visual cortex.

Authors:  Timo van Kerkoerle; Matthew W Self; Bruno Dagnino; Marie-Alice Gariel-Mathis; Jasper Poort; Chris van der Togt; Pieter R Roelfsema
Journal:  Proc Natl Acad Sci U S A       Date:  2014-09-09       Impact factor: 11.205

9.  Local field potentials reflect multiple spatial scales in V4.

Authors:  Patrick J Mineault; Theodoros P Zanos; Christopher C Pack
Journal:  Front Comput Neurosci       Date:  2013-03-26       Impact factor: 2.380

10.  Spatial spread of local field potential is band-pass in the primary visual cortex.

Authors:  Agrita Dubey; Supratim Ray
Journal:  J Neurophysiol       Date:  2016-08-03       Impact factor: 2.714

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