The relationship between pupillary baseline manipulated by mental effort or luminance and subsequent pupillary responses

Measuring pupillary response is a prevalent technique to evaluate mental states. It is indispensable to conduct a correction procedure for the pupillary baseline to get a meaningful conclusion from the pupillary response. However, the relationship between pupillary baseline and subsequent stimulus-evoked pupillary response varies among studies. In this study, we used the subtractive and proportional baseline corrections to analyze the results. Furthermore, we manipulated the pupillary baseline through mental effort or luminance in the baseline period and investigated whether the subsequent stimulus-evoked pupillary responses were affected. We found that the mental effort–evoked pupillary response was attenuated with a larger pupillary baseline manipulated by a higher mental effort, whereas it was unaffected with the baseline manipulated by luminance. Also, the luminance-evoked pupillary response was attenuated with a smaller pupillary baseline manipulated by a brighter disk, whereas it was unaffected with the baseline manipulated by mental effort. The results could be obtained from subtractive and proportional baseline corrections. Our results suggest that mental effort manipulated pupillary baseline interacts with the subsequent mental effort elicited pupillary response, but not with the luminance elicited pupillary response; the luminance manipulated pupillary baseline interacts with the subsequent luminance elicited pupillary response, but not with the mental effort elicited pupillary response. It is important to consider the ways of controlling the pupillary baseline and subsequent pupillary response simultaneously.

[1]  D. Munoz,et al.  Differentiating global luminance, arousal and cognitive signals on pupil size and microsaccades , 2021, The European journal of neuroscience.

[2]  H. Kaneko,et al.  Pupillary dilation elicited by attending to two disks with different luminance , 2021, Journal of vision.

[3]  David A. Robb,et al.  A framework to estimate cognitive load using physiological data , 2020 .

[4]  Chin-An Wang,et al.  Background luminance effects on pupil size associated with emotion and saccade preparation , 2020, Scientific Reports.

[5]  A. Wingfield,et al.  Anticipatory Baseline Pupil Diameter Is Sensitive to Differences in Hearing Thresholds , 2020, Frontiers in Psychology.

[6]  J. Gold,et al.  Pupil Size as a Window on Neural Substrates of Cognition , 2019, Trends in Cognitive Sciences.

[7]  Hirohiko Kaneko,et al.  Effects of spatial frequency and attention on pupillary response. , 2019, Journal of the Optical Society of America. A, Optics, image science, and vision.

[8]  Brennan R. Payne,et al.  A Review of Psychophysiological Measures to Assess Cognitive States in Real-World Driving , 2019, Front. Hum. Neurosci..

[9]  G. Knudsen,et al.  Cortical modulation of pupillary function: systematic review , 2019, PeerJ.

[10]  V. Troiani,et al.  Task-induced pupil response and visual perception in adults , 2018, PloS one.

[11]  I. Sher,et al.  Effect of Stimulus Intensity and Visual Field Location on Rod- and Cone-Mediated Pupil Response to Focal Light Stimuli. , 2018, Investigative ophthalmology & visual science.

[12]  Jamie Reilly,et al.  The human task-evoked pupillary response function is linear: Implications for baseline response scaling in pupillometry , 2018, Behavior Research Methods.

[13]  Chin-An Wang,et al.  Neural basis of location-specific pupil luminance modulation , 2018, Proceedings of the National Academy of Sciences.

[14]  S. Mathôt Pupillometry: Psychology, Physiology, and Function , 2018, Journal of cognition.

[15]  H. van Steenbergen,et al.  Pupil dilation as an index of effort in cognitive control tasks: A review , 2018, Psychonomic bulletin & review.

[16]  Sebastiaan Mathôt,et al.  Safe and sensible preprocessing and baseline correction of pupil-size data , 2018, Behavior Research Methods.

[17]  Andrew L. Kun,et al.  Exploring the Influence of Light and Cognitive Load on Pupil Diameter Driving Simulator Studies , 2017 .

[18]  Mate Koles,et al.  A Review of Pupillometry for Human-computer Interaction Studies , 2017 .

[19]  Vsevolod Peysakhovich,et al.  The impact of luminance on tonic and phasic pupillary responses to sustained cognitive load. , 2017, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[20]  Maria K. Eckstein,et al.  Beyond eye gaze: What else can eyetracking reveal about cognition and cognitive development? , 2016, Developmental Cognitive Neuroscience.

[21]  Peter R Murphy,et al.  Pupil Diameter Tracks Lapses of Attention , 2016, PloS one.

[22]  Albrecht Schmidt,et al.  A Model Relating Pupil Diameter to Mental Workload and Lighting Conditions , 2016, CHI.

[23]  N. Unsworth,et al.  Pupillary correlates of lapses of sustained attention , 2016, Cognitive, affective & behavioral neuroscience.

[24]  Sebastiaan Mathôt,et al.  The Mind-Writing Pupil: A Human-Computer Interface Based on Decoding of Covert Attention through Pupillometry , 2016, PloS one.

[25]  Douglas P Munoz,et al.  A circuit for pupil orienting responses: implications for cognitive modulation of pupil size , 2015, Current Opinion in Neurobiology.

[26]  P. Binda,et al.  Pupil size reflects the focus of feature-based attention. , 2014, Journal of neurophysiology.

[27]  C. Bonnin-Arias,et al.  Pupillary behavior in relation to wavelength and age , 2014, Front. Hum. Neurosci..

[28]  T. Knapen,et al.  Decision-related pupil dilation reflects upcoming choice and individual bias , 2014, Proceedings of the National Academy of Sciences.

[29]  George A. Alvarez,et al.  Tracking the allocation of attention using human pupillary oscillations , 2013, Front. Psychol..

[30]  Paola Binda,et al.  Attention to Bright Surfaces Enhances the Pupillary Light Reflex , 2013, The Journal of Neuroscience.

[31]  Brian J. White,et al.  Microstimulation of the Monkey Superior Colliculus Induces Pupil Dilation Without Evoking Saccades , 2012, The Journal of Neuroscience.

[32]  R. O’Connell,et al.  Pupillometry and P3 index the locus coeruleus-noradrenergic arousal function in humans. , 2011, Psychophysiology.

[33]  F. Hutzler,et al.  Systematic influence of gaze position on pupil size measurement: analysis and correction , 2011, Behavior research methods.

[34]  Mark S. Gilzenrat,et al.  Pupil diameter tracks changes in control state predicted by the adaptive gain theory of locus coeruleus function , 2010, Cognitive, affective & behavioral neuroscience.

[35]  Jonathan D. Cohen,et al.  An integrative theory of locus coeruleus-norepinephrine function: adaptive gain and optimal performance. , 2005, Annual review of neuroscience.

[36]  S. Steinhauer,et al.  Sympathetic and parasympathetic innervation of pupillary dilation during sustained processing. , 2004, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[37]  R. Kardon The Pupil: Anatomy, Physiology, and Clinical Applications, 2nd Ed. , 2001 .

[38]  S. Steinhauer,et al.  Cognitive modulation of midbrain function: task-induced reduction of the pupillary light reflex. , 2000, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[39]  C. Ellis,et al.  The pupillary light reflex in normal subjects. , 1981, The British journal of ophthalmology.

[40]  M J Moseley,et al.  Development of pupillary responses to grating stimuli. , 1996, Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians.