Dissecting Cognitive Operations in Difficult Visual Search Using Response-locked Posterior Contralateral Negativity Event-related Potentials

We bisected the sequence of processing into operations taking place before or after the engagement of visual–spatial attention during a difficult search task using event-related potentials. We were able to assign variance in RTs associated with experimental factor effects to phases of processing by examining stimulus-locked (SLpcN) and response-locked (RLpcN) posterior contralateral negativity. Participants searched for a gray square with one gap among gray squares with two gaps. The number of displayed items (set size) and the number of response alternatives were varied. Both experimental manipulations affected the onset latency of the RLpcN, whereas the SLpcN showed small or no latency effects, suggesting they had effects after the initial deployment of attention. Moreover, amplitude effects in the RLpcN and SLpcN behaved similarly. Most importantly, different aspects of the RLpcN dissociated the experimental manipulations: Set size primarily affected processing between RLpcN onset and peak amplitude of the RLpcN, whereas the number of response alternatives affected the onset latency and the latency of peak amplitude of RLpcN. These results show how RLpcN activity can dissociate factor effects that are not separable with SLpcN activity during difficult search.

[1]  Brandi Lee Drisdelle,et al.  Dealing with ocular artifacts on lateralized ERPs in studies of visual-spatial attention and memory: ICA correction versus epoch rejection. , 2017, Psychophysiology.

[2]  S. Luck,et al.  Bridging the Gap between Monkey Neurophysiology and Human Perception: An Ambiguity Resolution Theory of Visual Selective Attention , 1997, Cognitive Psychology.

[3]  P. Jolicoeur,et al.  A Solution to the Effect of Sample Size on Outlier Elimination , 1994 .

[4]  P. Jolicœur,et al.  Differential engagement of attention and visual working memory in the representation and evaluation of the number of relevant targets and their spatial relations: Evidence from the N2pc and SPCN , 2017, Biological Psychology.

[5]  A. Treisman,et al.  A feature-integration theory of attention , 1980, Cognitive Psychology.

[6]  J. Wolfe,et al.  What attributes guide the deployment of visual attention and how do they do it? , 2004, Nature Reviews Neuroscience.

[7]  Arnaud Delorme,et al.  EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis , 2004, Journal of Neuroscience Methods.

[8]  R. Bakeman Recommended effect size statistics for repeated measures designs , 2005, Behavior research methods.

[9]  J. Algina,et al.  Generalized eta and omega squared statistics: measures of effect size for some common research designs. , 2003, Psychological methods.

[10]  Brandi Lee Drisdelle,et al.  Stimulus- and Response-locked Posterior Contralateral Negativity Bisect Cognitive Operations in Visual Search , 2019, Journal of Cognitive Neuroscience.

[11]  C M Moore,et al.  Bisecting RT with lateralized readiness potentials: precue effects of LRP onset. , 1995, Acta psychologica.

[12]  Maro G. Machizawa,et al.  Neural activity predicts individual differences in visual working memory capacity , 2004, Nature.

[13]  Denis G. Pelli,et al.  ECVP '07 Abstracts , 2007, Perception.

[14]  Jason T. Arita,et al.  Electrophysiological measurement of information flow during visual search. , 2016, Psychophysiology.

[15]  U. Neisser VISUAL SEARCH. , 1964, Scientific American.

[16]  W. Ziegler The Oxford Handbook Of Event Related Potential Components , 2016 .

[17]  S. Luck,et al.  Electrophysiological correlates of feature analysis during visual search. , 1994, Psychophysiology.

[18]  D G Pelli,et al.  The VideoToolbox software for visual psychophysics: transforming numbers into movies. , 1997, Spatial vision.

[19]  H. Lüders,et al.  American Electroencephalographic Society Guidelines for Standard Electrode Position Nomenclature , 1991, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.

[20]  Richard D. Morey,et al.  Confidence Intervals from Normalized Data: A correction to Cousineau (2005) , 2008 .

[21]  Jeff Miller,et al.  Measurement of ERP latency differences: a comparison of single-participant and jackknife-based scoring methods. , 2008, Psychophysiology.

[22]  Susan L. Franzel,et al.  Guided search: an alternative to the feature integration model for visual search. , 1989, Journal of experimental psychology. Human perception and performance.

[23]  Tzyy-Ping Jung,et al.  Independent Component Analysis of Electroencephalographic Data , 1995, NIPS.

[24]  J. Duncan,et al.  Visual search and stimulus similarity. , 1989, Psychological review.

[25]  M. Eimer The N2pc component as an indicator of attentional selectivity. , 1996, Electroencephalography and clinical neurophysiology.

[26]  J. Wolfe,et al.  Guided Search 2.0 A revised model of visual search , 1994, Psychonomic bulletin & review.

[27]  D H Brainard,et al.  The Psychophysics Toolbox. , 1997, Spatial vision.

[28]  R Dell'Acqua,et al.  Spatial attention freezes during the attention blink. , 2006, Psychophysiology.

[29]  Denis Cousineau,et al.  Confidence intervals in within-subject designs: A simpler solution to Loftus and Masson's method , 2005 .

[30]  H. J. Muller,et al.  SEarch via Recursive Rejection (SERR): A Connectionist Model of Visual Search , 1993, Cognitive Psychology.

[31]  Johan Hulleman,et al.  The impending demise of the item in visual search , 2015, Behavioral and Brain Sciences.

[32]  Andrea Schankin,et al.  Localization of temporal preparation effects via trisected reaction time. , 2007, Psychophysiology.

[33]  Benoit Brisson,et al.  Dissociation of the N2pc and sustained posterior contralateral negativity in a choice response task , 2008, Brain Research.

[34]  A. A. Wijers,et al.  An event-related brain potential correlate of visual short-term memory. , 1999, Neuroreport.

[35]  H. Pashler Overlapping Mental Operations in Serial Performance with Preview , 1994, The Quarterly journal of experimental psychology. A, Human experimental psychology.

[36]  Dragan Rangelov,et al.  How the speed of motor-response decisions, but not focal-attentional selection, differs as a function of task set and target prevalence , 2012, Proceedings of the National Academy of Sciences.

[37]  Alfonso Caramazza,et al.  Temporal Brain Dynamics of Multiple Object Processing: The Flexibility of Individuation , 2011, PloS one.

[38]  A. Treisman,et al.  Search asymmetry: a diagnostic for preattentive processing of separable features. , 1985, Journal of experimental psychology. General.

[39]  R. Gregory The Most Expensive Painting in the World , 2007, Perception.

[40]  Jeremy M. Wolfe,et al.  Guided Search 4.0: Current Progress With a Model of Visual Search , 2007, Integrated Models of Cognitive Systems.

[41]  Steven J. Luck,et al.  ERPLAB: an open-source toolbox for the analysis of event-related potentials , 2014, Front. Hum. Neurosci..

[42]  S J Luck,et al.  Spatial filtering during visual search: evidence from human electrophysiology. , 1994, Journal of experimental psychology. Human perception and performance.

[43]  Nicolas Robitaille,et al.  Attentional control and capture in the attentional blink paradigm: Evidence from human electrophysiology , 2006 .

[44]  T. Salthouse Anticipatory processing in transcription typing. , 1985, The Journal of applied psychology.

[45]  S J Luck,et al.  Electrophysiological evidence for parallel and serial processing during visual search , 1990, Perception & psychophysics.

[46]  Thom Baguley,et al.  Calculating and graphing within-subject confidence intervals for ANOVA , 2012, Behavior research methods.