publication . Article . Other literature type . 2017

Time-domain analysis for extracting fast-paced pupil responses

Alexandre Zénon;
Open Access English
  • Published: 01 Feb 2017 Journal: Scientific Reports (issn: 2045-2322, Copyright policy)
  • Publisher: Nature Publishing Group
  • Country: France
Abstract
The eye pupil reacts to cognitive processes, but its analysis is challenging when luminance varies or when stimulation is fast-paced. Current approaches relying on deconvolution techniques do not account for the strong low-frequency spontaneous changes in pupil size or the large interindividual variability in the shape of the responses. Here a system identification framework is proposed in which the pupil responses to different parameters are extracted by means of an autoregressive model with exogenous inputs. In an example application of this technique, pupil size was shown to respond to the luminance and arousal scores of affective pictures presented in rapid ...
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doi: 10.1038/srep41484
pmc: PMC5278412
pmid: 28134323
Subjects
Medical Subject Headings: sense organsgenetic structureseye diseases
free text keywords: Multidisciplinary, [SHS]Humanities and Social Sciences, Article, Cognition, Luminance, Pupillary response, Deconvolution, Autoregressive model, Impulse (physics), Pupil, Pattern recognition, Time domain, Computer science, Artificial intelligence, business.industry, business
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34 references, page 1 of 3

Joyce D. S., Feigl B., Cao D. & Zele A. J. Temporal characteristics of melanopsin inputs to the human pupil light reflex. Vision Res. 107, 58–66 (2015).25497360 [OpenAIRE] [PubMed]

Gamlin P. D., Zhang H. & Clarke R. J. Luminance neurons in the pretectal olivary nucleus mediate the pupillary light reflex in the rhesus mon key. Exp Brain Res 106, 169–176 (1995).8542972 [OpenAIRE] [PubMed]

Wilhelm B. J., Wilhelm H., Moro S. & Barbur J. L. Pupil response components: studies in patients with Parinaud’s syndrome. Brain 125, 2296–2307 (2002).12244086 [PubMed]

Naber M. & Nakayama K. Pupil responses to high-level image content. J Vis 13, 7–7 (2013).

Mathôt S., van der Linden L., Grainger J. & Vitu F. The pupillary light response reflects eye-movement preparation. J Exp Psychol Hum Percept Perform 41, 28–35 (2015).25621584 [PubMed]

Kahneman D.Attention and effort., doi: 10.1167/14.4.1 (Prentice Hall, 1973). [OpenAIRE] [DOI]

Zénon A., SidibéM. & Olivier E. Pupil size variations correlate with physical effort perception. Frontiers in Behavioral Neuroscience 8, 286 (2014).25202247 [OpenAIRE] [PubMed]

O’Reilly J. X.. Dissociable effects of surprise and model update in parietal and anterior cingulate cortex. Proc. Natl. Acad. Sci. USA.110, E3660–9 (2013).23986499 [OpenAIRE] [PubMed]

Preuschoff K., t Hart B. M. & Einhäuser W. Pupil Dilation Signals Surprise: Evidence for Noradrenaline’s Role in Decision Making. Front Neurosci 5 (2011). [OpenAIRE]

Nassar M. R.. Rational regulation of learning dynamics by pupil-linked arousal sy stems. Nature Neuroscience 15, 1040–1046 (2012).22660479 [OpenAIRE] [PubMed]

Jepma M. & Nieuwenhuis S. Pupil Diameter Predicts Changes in the Exploration–Exploitation Trade-off: Evidence for the Adaptive Gain Theory. Journal of Cognitive neuroscience 23, 1587–1596 (2011).20666595 [OpenAIRE] [PubMed]

Joshi S., Li Y., Kalwani R. M. & Gold J. I. Relationships between Pupil Diameter and Neuronal Activity in the Locus Coeruleus, Colliculi, and Cingulate Cortex. Neuron doi: 10.1016/j.neuron.2015.11.028 (2015). [OpenAIRE] [DOI]

Wang C.-A. & Munoz D. P. A circuit for pupil orienting responses: implications for cognitive modulation of pupil size. Current Opinion in Neurobiology 33, 134–140 (2015).25863645 [PubMed]

McGinley M. J., David S. V. & McCormick D. A. Cortical Membrane Potential Signature of Optimal States for Sensory Signal Detection. Neuron 87, 179–192 (2015).26074005 [OpenAIRE] [PubMed]

Reimer J.. Pupil fluctuations track fast switching of cortical states during quiet wakefulness. Neuron 84, 355–362 (2014).25374359 [OpenAIRE] [PubMed]

34 references, page 1 of 3
Related research
Abstract
The eye pupil reacts to cognitive processes, but its analysis is challenging when luminance varies or when stimulation is fast-paced. Current approaches relying on deconvolution techniques do not account for the strong low-frequency spontaneous changes in pupil size or the large interindividual variability in the shape of the responses. Here a system identification framework is proposed in which the pupil responses to different parameters are extracted by means of an autoregressive model with exogenous inputs. In an example application of this technique, pupil size was shown to respond to the luminance and arousal scores of affective pictures presented in rapid ...
Read more
doi: 10.1038/srep41484
pmc: PMC5278412
pmid: 28134323
Subjects
Medical Subject Headings: sense organsgenetic structureseye diseases
free text keywords: Multidisciplinary, [SHS]Humanities and Social Sciences, Article, Cognition, Luminance, Pupillary response, Deconvolution, Autoregressive model, Impulse (physics), Pupil, Pattern recognition, Time domain, Computer science, Artificial intelligence, business.industry, business
Related Organizations
Download fromView all 8 versions
Scientific Reports
Article . 2017
Provider: Scientific Reports
Scientific Reports
Article . 2017
Provider: Crossref
Scientific Reports
Article
Provider: UnpayWall
Scientific Reports
Article
Provider: Microsoft Academic Graph
View more
34 references, page 1 of 3

Joyce D. S., Feigl B., Cao D. & Zele A. J. Temporal characteristics of melanopsin inputs to the human pupil light reflex. Vision Res. 107, 58–66 (2015).25497360 [OpenAIRE] [PubMed]

Gamlin P. D., Zhang H. & Clarke R. J. Luminance neurons in the pretectal olivary nucleus mediate the pupillary light reflex in the rhesus mon key. Exp Brain Res 106, 169–176 (1995).8542972 [OpenAIRE] [PubMed]

Wilhelm B. J., Wilhelm H., Moro S. & Barbur J. L. Pupil response components: studies in patients with Parinaud’s syndrome. Brain 125, 2296–2307 (2002).12244086 [PubMed]

Naber M. & Nakayama K. Pupil responses to high-level image content. J Vis 13, 7–7 (2013).

Mathôt S., van der Linden L., Grainger J. & Vitu F. The pupillary light response reflects eye-movement preparation. J Exp Psychol Hum Percept Perform 41, 28–35 (2015).25621584 [PubMed]

Kahneman D.Attention and effort., doi: 10.1167/14.4.1 (Prentice Hall, 1973). [OpenAIRE] [DOI]

Zénon A., SidibéM. & Olivier E. Pupil size variations correlate with physical effort perception. Frontiers in Behavioral Neuroscience 8, 286 (2014).25202247 [OpenAIRE] [PubMed]

O’Reilly J. X.. Dissociable effects of surprise and model update in parietal and anterior cingulate cortex. Proc. Natl. Acad. Sci. USA.110, E3660–9 (2013).23986499 [OpenAIRE] [PubMed]

Preuschoff K., t Hart B. M. & Einhäuser W. Pupil Dilation Signals Surprise: Evidence for Noradrenaline’s Role in Decision Making. Front Neurosci 5 (2011). [OpenAIRE]

Nassar M. R.. Rational regulation of learning dynamics by pupil-linked arousal sy stems. Nature Neuroscience 15, 1040–1046 (2012).22660479 [OpenAIRE] [PubMed]

Jepma M. & Nieuwenhuis S. Pupil Diameter Predicts Changes in the Exploration–Exploitation Trade-off: Evidence for the Adaptive Gain Theory. Journal of Cognitive neuroscience 23, 1587–1596 (2011).20666595 [OpenAIRE] [PubMed]

Joshi S., Li Y., Kalwani R. M. & Gold J. I. Relationships between Pupil Diameter and Neuronal Activity in the Locus Coeruleus, Colliculi, and Cingulate Cortex. Neuron doi: 10.1016/j.neuron.2015.11.028 (2015). [OpenAIRE] [DOI]

Wang C.-A. & Munoz D. P. A circuit for pupil orienting responses: implications for cognitive modulation of pupil size. Current Opinion in Neurobiology 33, 134–140 (2015).25863645 [PubMed]

McGinley M. J., David S. V. & McCormick D. A. Cortical Membrane Potential Signature of Optimal States for Sensory Signal Detection. Neuron 87, 179–192 (2015).26074005 [OpenAIRE] [PubMed]

Reimer J.. Pupil fluctuations track fast switching of cortical states during quiet wakefulness. Neuron 84, 355–362 (2014).25374359 [OpenAIRE] [PubMed]

34 references, page 1 of 3
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