Literature DB >> 30914447

Distinct Sources of Variability Affect Eye Movement Preparation.

Sanjeev B Khanna1,2,3, Adam C Snyder1,2,4, Matthew A Smith5,2,3.   

Abstract

The sequence of events leading to an eye movement to a target begins the moment visual information has reached the brain, well in advance of the eye movement itself. The process by which visual information is encoded and used to generate a motor plan has been the focus of substantial interest partly because of the rapid and reproducible nature of saccadic eye movements, and the key role that they play in primate behavior. Signals related to eye movements are present in much of the primate brain, yet most neurophysiological studies of the transition from vision to eye movements have measured the activity of one neuron at a time. Less is known about how the coordinated action of populations of neurons contribute to the initiation of eye movements. One cortical area of particular interest in this process is the frontal eye fields, a region of prefrontal cortex that has descending projections to oculomotor control centers. We recorded from populations of frontal eye field neurons in macaque monkeys engaged in a memory-guided saccade task. We found a variety of neurons with visually evoked responses, saccade-aligned responses, and mixtures of both. We took advantage of the simultaneous nature of the recordings to measure variability in individual neurons and pairs of neurons from trial-to-trial, as well as the moment-to-moment population activity structure. We found that these measures were related to saccadic reaction times, suggesting that the population-level organization of frontal eye field activity is important for the transition from perception to movement.SIGNIFICANCE STATEMENT The transition from perception to action involves coordination among neurons across the brain. In the case of eye movements, visual and motor signals coexist in individual neurons as well as in neighboring neurons. We used a task designed to compartmentalize the visual and motor aspects of this transition and studied populations of neurons in the frontal eye fields, a key cortical area containing neurons that are implicated in the transition from vision to eye movements. We found that the time required for subjects to produce an eye movement could be predicted from the statistics of the neuronal response of populations of frontal eye field neurons, suggesting that these neurons coordinate their activity to optimize the transition from perception to action.
Copyright © 2019 the authors.

Entities:  

Keywords:  FEF; correlation; eye movements; saccade

Mesh:

Year:  2019        PMID: 30914447      PMCID: PMC6554625          DOI: 10.1523/JNEUROSCI.2329-18.2019

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


  77 in total

1.  Composition and topographic organization of signals sent from the frontal eye field to the superior colliculus.

Authors:  M A Sommer; R H Wurtz
Journal:  J Neurophysiol       Date:  2000-04       Impact factor: 2.714

2.  Neuronal correlates for preparatory set associated with pro-saccades and anti-saccades in the primate frontal eye field.

Authors:  S Everling; D P Munoz
Journal:  J Neurosci       Date:  2000-01-01       Impact factor: 6.167

3.  Correlated firing in macaque visual area MT: time scales and relationship to behavior.

Authors:  W Bair; E Zohary; W T Newsome
Journal:  J Neurosci       Date:  2001-03-01       Impact factor: 6.167

4.  Microsaccades uncover the orientation of covert attention.

Authors:  Ralf Engbert; Reinhold Kliegl
Journal:  Vision Res       Date:  2003-04       Impact factor: 1.886

5.  Macaque frontal eye field input to saccade-related neurons in the superior colliculus.

Authors:  Janet O Helminski; Mark A Segraves
Journal:  J Neurophysiol       Date:  2003-05-07       Impact factor: 2.714

6.  Effects of stimulus-response compatibility on neural selection in frontal eye field.

Authors:  Takashi R Sato; Jeffrey D Schall
Journal:  Neuron       Date:  2003-05-22       Impact factor: 17.173

7.  Robust, automatic spike sorting using mixtures of multivariate t-distributions.

Authors:  Shy Shoham; Matthew R Fellows; Richard A Normann
Journal:  J Neurosci Methods       Date:  2003-08-15       Impact factor: 2.390

8.  Signals in macaque striate cortical neurons that support the perception of glass patterns.

Authors:  Matthew A Smith; Wyeth Bair; J Anthony Movshon
Journal:  J Neurosci       Date:  2002-09-15       Impact factor: 6.167

9.  Delay-period activity in visual, visuomovement, and movement neurons in the frontal eye field.

Authors:  Bonnie M Lawrence; Robert L White; Lawrence H Snyder
Journal:  J Neurophysiol       Date:  2005-04-20       Impact factor: 2.714

10.  Stimulus dependence of neuronal correlation in primary visual cortex of the macaque.

Authors:  Adam Kohn; Matthew A Smith
Journal:  J Neurosci       Date:  2005-04-06       Impact factor: 6.167

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  7 in total

1.  Dynamic shifts of visual and saccadic signals in prefrontal cortical regions 8Ar and FEF.

Authors:  Sanjeev B Khanna; Jonathan A Scott; Matthew A Smith
Journal:  J Neurophysiol       Date:  2020-10-07       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.  The eyes reflect an internal cognitive state hidden in the population activity of cortical neurons.

Authors:  Richard Johnston; Adam C Snyder; Sanjeev B Khanna; Deepa Issar; Matthew A Smith
Journal:  Cereb Cortex       Date:  2022-07-21       Impact factor: 4.861

4.  EEG Signals Index a Global Signature of Arousal Embedded in Neuronal Population Recordings.

Authors:  Richard Johnston; Adam C Snyder; Rachel S Schibler; Matthew A Smith
Journal:  eNeuro       Date:  2022-06-08

5.  The Transition from Evaluation to Selection Involves Neural Subspace Reorganization in Core Reward Regions.

Authors:  Seng Bum Michael Yoo; Benjamin Y Hayden
Journal:  Neuron       Date:  2019-12-10       Impact factor: 17.173

6.  Spatiotemporal Coding in the Macaque Supplementary Eye Fields: Landmark Influence in the Target-to-Gaze Transformation.

Authors:  Vishal Bharmauria; Amirsaman Sajad; Xiaogang Yan; Hongying Wang; John Douglas Crawford
Journal:  eNeuro       Date:  2021-01-21

7.  The unidirectional prosaccade switch-cost: no evidence for the passive dissipation of an oculomotor task-set inertia.

Authors:  Benjamin Tari; Chloe Edgar; Priyanka Persaud; Connor Dalton; Matthew Heath
Journal:  Exp Brain Res       Date:  2022-06-21       Impact factor: 2.064

  7 in total

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