compute_baseline

Applies baseline correction to epoch data using either subtractive or
divisive methods.

internal

Pupillometry offers a non-invasive window into the mind and has been used extensively as a psychophysiological readout of arousal signals linked with cognitive processes like attention, stress, and emotional states [Clewett et al. (2020) <doi:10.1038/s41467-020-17851-9>; Kret & Sjak-Shie (2018) <doi:10.3758/s13428-018-1075-y>; Strauch (2024) <doi:10.1016/j.tins.2024.06.002>]. Yet, despite decades of pupillometry research, many established packages and workflows to date lack design patterns based on Findability, Accessibility, Interoperability, and Reusability (FAIR) principles [see Wilkinson et al. (2016) <doi:10.1038/sdata.2016.18>]. 'eyeris' provides a modular, performant, and extensible preprocessing framework for pupillometry data with BIDS-like organization and interactive output reports [Esteban et al. (2019) <doi:10.1038/s41592-018-0235-4>; Gorgolewski et al. (2016) <doi:10.1038/sdata.2016.44>]. Development was supported, in part, by the Stanford Wu Tsai Human Performance Alliance, Stanford Ric Weiland Graduate Fellowship, Stanford Center for Mind, Brain, Computation and Technology, NIH National Institute on Aging Grants (R01-AG065255, R01-AG079345), NSF GRFP (DGE-2146755), McKnight Brain Research Foundation Clinical Translational Research Scholarship in Cognitive Aging and Age-Related Memory Loss, American Brain Foundation, and the American Academy of Neurology.

Shawn Schwartz

eyeris

Flexible, Extensible, & Reproducible Pupillometry Preprocessing

compute_baseline function

<dl><dt>x</dt>
<dd>An <code>eyeris</code> object containing the latest pupil column pointer</dd>
<dt>epochs</dt>
<dd>A list of epoch dataframes</dd>
<dt>baseline_epochs</dt>
<dd>A list of baseline epoch dataframes</dd>
<dt>mode</dt>
<dd>The baseline correction mode ("sub" for subtractive,
"div" for divisive)</dd>
<dt>epoch_events</dt>
<dd>Event messages for epochs (optional)</dd>
<dt>baseline_events</dt>
<dd>Event messages for baselines (optional)</dd></dl>

Arguments

Compute baseline correction for epoch data — compute_baseline

<dl>

<dt>x</dt>
<dd>An <code>eyeris</code> object containing the latest pupil column pointer</dd>


<dt>epochs</dt>
<dd>A list of epoch dataframes</dd>


<dt>baseline_epochs</dt>
<dd>A list of baseline epoch dataframes</dd>


<dt>mode</dt>
<dd>The baseline correction mode ("sub" for subtractive,
"div" for divisive)</dd>


<dt>epoch_events</dt>
<dd>Event messages for epochs (optional)</dd>


<dt>baseline_events</dt>
<dd>Event messages for baselines (optional)</dd>

</dl>

compute_baseline: Compute baseline correction for epoch data

Description

Usage

Value

Arguments