Contribution of FEF to attentional periodicity during visual search: a TMS study

Visual search, looking for a target embedded among distractors, has long been used to study attention. Current theories postulate a two-stage process in which early visual areas perform feature extraction, while higher-order regions perform attentional selection. Such a model implies iterative communication between low- and high-level regions to sequentially select candidate targets in the array, focus attention on these elements, and eventually permit target recognition. This leads to two predictions: (1) high-level, attentional regions and (2) early visual regions should both be iteratively (periodically) involved during the search. Here, we used Transcranial Magnetic Stimulation (TMS) applied over the Frontal-Eye Field (FEF), known to be involved in attentional selection, at various delays while observers performed a difficult, attentional search task. We observed a periodic pattern of interference at 7 Hz (theta) suggesting that the FEF is periodically involved during this difficult search task. We further compared this result with two previous studies (Dugué et al., 2011; 2015a) in which a similar TMS procedure was applied over the early visual cortex (V1) while observers performed the same task. This analysis revealed, for both studies, the same pattern of interference, i.e. V1 is periodically involved during this difficult search task, at the theta frequency. Together, these converging findings confirm our predictions that difficult search is supported by the periodic involvement of both low- and high-level regions, at the theta frequency. Significant statement Attention models postulate a two-stage process during visual search in which early visual regions perform feature extraction, while higher-order regions perform attentional selection, these two levels iteratively (periodically) communicating until target recognition. Using TMS, we tested whether there is a causal link between both attentional and early visual regions, and attentional search performance. We showed that a difficult, attentional search is supported by the periodic involvement of both V1 and the FEF, at the theta frequency (∼6-7 Hz). This finding support the idea that visual search tasks are processed by a hierarchical system involving periodic, iterative connections between low- and high-level regions allowing successful attentional exploration.

[1]  J. Palmer,et al.  Measuring the effect of attention on simple visual search. , 1993, Journal of experimental psychology. Human perception and performance.

[2]  B. Motter Neural correlates of attentive selection for color or luminance in extrastriate area V4 , 1994, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[3]  Alison R. Lane,et al.  The interaction of brain regions during visual search processing as revealed by transcranial magnetic stimulation. , 2007, Cerebral cortex.

[4]  Rizhen Wei,et al.  Differential roles of the dorsal prefrontal and posterior parietal cortices in visual search: a TMS study , 2016, Scientific Reports.

[5]  Miguel P Eckstein,et al.  Visual search: a retrospective. , 2011, Journal of vision.

[6]  Patrick Cavanagh,et al.  The blinking spotlight of attention , 2007, Proceedings of the National Academy of Sciences.

[7]  Rufin VanRullen,et al.  Transcranial Magnetic Stimulation Reveals Intrinsic Perceptual and Attentional Rhythms , 2017, Front. Neurosci..

[8]  T. Paus Location and function of the human frontal eye-field: A selective review , 1996, Neuropsychologia.

[9]  Catherine Tallon-Baudry,et al.  Causal Frequency-Specific Contributions of Frontal Spatiotemporal Patterns Induced by Non-Invasive Neurostimulation to Human Visual Performance , 2013, The Journal of Neuroscience.

[10]  Laura Dugué,et al.  The dynamics of attentional sampling during visual search revealed by Fourier analysis of periodic noise interference. , 2014, Journal of vision.

[11]  V. Walsh,et al.  Dissociating the contributions of human frontal eye fields and posterior parietal cortex to visual search. , 2011, Journal of neurophysiology.

[12]  Marisa Carrasco,et al.  Attention Reorients Periodically , 2016, Current Biology.

[13]  Neil G. Muggleton,et al.  The role of the angular gyrus in visual conjunction search investigated using signal detection analysis and transcranial magnetic stimulation , 2008, Neuropsychologia.

[14]  C. Koch,et al.  Computational modelling of visual attention , 2001, Nature Reviews Neuroscience.

[15]  P. Fries,et al.  Distributed Attention Is Implemented through Theta-Rhythmic Gamma Modulation , 2015, Current Biology.

[16]  Robert Oostenveld,et al.  Neural Mechanisms of Visual Attention : How Top-Down Feedback Highlights Relevant Locations , 2007 .

[17]  M. Corbetta,et al.  Control of goal-directed and stimulus-driven attention in the brain , 2002, Nature Reviews Neuroscience.

[18]  P. Fries,et al.  Attention Samples Stimuli Rhythmically , 2012, Current Biology.

[19]  R. VanRullen Visual Attention: A Rhythmic Process? , 2013, Current Biology.

[20]  M. Massimini,et al.  Natural Frequencies of Human Corticothalamic Circuits , 2009, The Journal of Neuroscience.

[21]  Zijiang J. He,et al.  Seeing grating-textured surface begins at the border. , 2011, Journal of vision.

[22]  C. Schroeder,et al.  Intermodal selective attention in monkeys. II: physiological mechanisms of modulation. , 2000, Cerebral cortex.

[23]  M. Corbetta,et al.  Top-Down Control of Human Visual Cortex by Frontal and Parietal Cortex in Anticipatory Visual Spatial Attention , 2008, The Journal of Neuroscience.

[24]  Alan Cowey,et al.  Cortical plasticity in perceptual learning demonstrated by transcranial magnetic stimulation , 1998, Neuropsychologia.

[25]  R. VanRullen,et al.  Spontaneous EEG oscillations reveal periodic sampling of visual attention , 2010, Proceedings of the National Academy of Sciences.

[26]  Marisa Carrasco,et al.  Distinct perceptual rhythms for feature and conjunction searches , 2017, Journal of vision.

[27]  E. Miller,et al.  Serial, Covert Shifts of Attention during Visual Search Are Reflected by the Frontal Eye Fields and Correlated with Population Oscillations , 2009, Neuron.

[28]  Sabine Kastner,et al.  Visual attention as a multilevel selection process , 2004, Cognitive, affective & behavioral neuroscience.

[29]  Rufin VanRullen,et al.  Transcranial Magnetic Stimulation Reveals Attentional Feedback to Area V1 during Serial Visual Search , 2011, PloS one.

[30]  Chi-Hung Juan,et al.  Feedback to V1: a reverse hierarchy in vision , 2003, Experimental Brain Research.

[31]  Rufin VanRullen,et al.  Attention searches nonuniformly in space and in time , 2015, Proceedings of the National Academy of Sciences.

[32]  Jack J. Lin,et al.  Neural Mechanisms of Sustained Attention Are Rhythmic , 2018, Neuron.

[33]  Chi-Hung Juan,et al.  Human frontal eye fields and visual search. , 2003, Journal of neurophysiology.

[34]  M. Pinsk,et al.  A Dynamic Interplay within the Frontoparietal Network Underlies Rhythmic Spatial Attention , 2018, Neuron.

[35]  Rufin van Rullen,et al.  Theta Oscillations Modulate Attentional Search Performance Periodically , 2015, Journal of Cognitive Neuroscience.

[36]  Y. Saalmann,et al.  Rhythmic Sampling within and between Objects despite Sustained Attention at a Cued Location , 2013, Current Biology.

[37]  G. Deco,et al.  The time course of selective visual attention: theory and experiments , 2002, Vision Research.

[38]  Thomas Schenk,et al.  The Involvement of Posterior Parietal Cortex in Feature and Conjunction Visuomotor Search , 2011, Journal of Cognitive Neuroscience.

[39]  Gerd Gigerenzer,et al.  What are natural frequencies? , 2011, BMJ : British Medical Journal.

[40]  K. Nakayama,et al.  Situating visual search , 2011, Vision Research.

[41]  A. Cowey,et al.  Human dorsolateral prefrontal cortex is involved in visual search for conjunctions but not features: A theta TMS study , 2009, Cortex.

[42]  Frances Wilkinson,et al.  Neural correlates of radial frequency trajectory perception in the human brain. , 2014, Journal of vision.

[43]  Igor Schindler,et al.  An exploration of the role of the superior temporal gyrus in visual search and spatial perception using TMS , 2014 .

[44]  Alan Cowey,et al.  Temporal aspects of visual search studied by transcranial magnetic stimulation , 1997, Neuropsychologia.

[45]  Á. Pascual-Leone,et al.  Transcranial Magnetic Stimulation , 2014, Neuromethods.

[46]  A Treisman,et al.  Feature binding, attention and object perception. , 1998, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[47]  Chi-Hung Juan,et al.  The timing of the involvement of the frontal eye fields and posterior parietal cortex in visual search , 2008, Neuroreport.

[48]  Neil G. Muggleton,et al.  Timing of Target Discrimination in Human Frontal Eye Fields , 2004, Journal of Cognitive Neuroscience.

[49]  R. VanRullen Perceptual Cycles , 2016, Trends in Cognitive Sciences.

[50]  A. Milner,et al.  Contralateral visual search deficits following TMS. , 2008, Journal of neuropsychology.

[51]  Martin Eimer,et al.  Cortico-cortical interactions in spatial attention: A combined ERP/TMS study. , 2006, Journal of neurophysiology.

[52]  Huan Luo,et al.  Behavioral Oscillations in Attention: Rhythmic α Pulses Mediated through θ Band , 2014, The Journal of Neuroscience.

[53]  John J. Foxe,et al.  Determinants and mechanisms of attentional modulation of neural processing. , 2001, Frontiers in Bioscience.

[54]  Romain Quentin,et al.  Manipulation of Pre-Target Activity on the Right Frontal Eye Field Enhances Conscious Visual Perception in Humans , 2012, PloS one.

[55]  Lee M. Miller,et al.  The Role of Alpha Activity in Spatial and Feature-Based Attention , 2016, eNeuro.

[56]  Huan Luo,et al.  Behavioral oscillation in priming: competing perceptual predictions conveyed in alternating theta-band rhythms. , 2015, Journal of vision.

[57]  Leslie G. Ungerleider,et al.  Increased Activity in Human Visual Cortex during Directed Attention in the Absence of Visual Stimulation , 1999, Neuron.

[58]  Steven Phillips,et al.  Frontal-parietal synchrony in elderly EEG for visual search. , 2010, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.