ArticleScientific reports2017
Time-domain analysis for extracting fast-paced pupil responses.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Inconclusive evidence that breathing shapes pupil dynamics in humans: a systematic review.Pflugers Archiv : European journal of physiology · 2023Pooled it
- From pre-processing to advanced dynamic modeling of pupil data.Behavior research methods · 2024Article
- Pupil dilation reflects the dynamic integration of audiovisual emotional speech.Scientific reports · 2023Article
- Confidence controls perceptual evidence accumulation.Nature communications · 2020Article
- Dissociable mappings of tonic and phasic pupillary features onto cognitive processes involved in mental arithmetic.PloS one · 2020Article
- Pupil-Linked Arousal Responds to Unconscious Surprisal.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019Article
- A Cross-Recurrence Analysis of the Pupil Size Fluctuations in Steady Scotopic Conditions.Frontiers in neuroscience · 2019Article
- Multiple-Time-Scale Analysis of Attention as Revealed by EEG, NIRS, and Pupil Diameter Signals During a Free Recall Task: A Multimodal Measurement Approach.Frontiers in neuroscience · 2019Article
- Locus Coeruleus atrophy doesn't relate to fatigue in Parkinson's disease.Scientific reports · 2018Article
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1 author.
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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 succession. This result was significant in each subject (N = 5), but the pupil response varied between individuals both in amplitude and latency, highlighting the need for determining impulse responses subjectwise. The same method was also used to account for pupil size variations caused by respiration, illustrating the possibility to model the relation between pupil size and other continuous signals. In conclusion, this new framework for the analysis of pupil size data allows us to dissociate the response of the eye pupil from intermingled sources of influence and can be used to study the relation between pupil size and other physiological signals.
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