Evidence map›Paper›PMID 41929150›Full record

ArticlebioRxiv : the preprint server for biology2026

Linking reaction time variability to physiological markers of arousal across timescales.

Deepa Issar, Emily E Skog, Madison R Grigg, Jana M Kainerstorfer, Matthew A Smith

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Deepa IssarDepartment of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA.ORCID 0000-0002-1378-2991
Emily E SkogDepartment of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA.ORCID 0000-0001-8324-848X
Madison R GriggDepartment of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA.ORCID 0009-0004-7314-4408
Jana M KainerstorferDepartment of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA.ORCID 0000-0002-9481-8377
Matthew A SmithDepartment of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA.ORCID 0000-0003-1192-9942

Funding

Slow time scale fluctuations in neurons and behaviorR01MH128393 · NIMH · CARNEGIE-MELLON UNIVERSITY · PI MATTHEW A SMITH · 2022 to 2026
$2.2M
Integrative Training in Neural InterfacingT32EB029365 · NIBIB · CARNEGIE-MELLON UNIVERSITY · PI HE, BIN · 2021 to 2025
$1.0M
Internally and externally driven arousal changes in neural activity and hemodynamicsF30MH129056 · NIMH · CARNEGIE-MELLON UNIVERSITY · PI ISSAR, DEEPA · 2022 to 2025
$213k
NIBIB NIH HHS T32 EB029365NIMH NIH HHS F30 MH129056NIMH NIH HHS R01 MH128393
6 · The paper itself

Abstract

Reaction time is a measure of the speed of our response to stimuli in the environment. Even for a well-trained task, a subject's reaction time varies. One source of this variability is internal state fluctuations (such as changes in arousal). There are few studies that systematically quantify the extent to which reaction time varies across different timescales and link this to measures of systemic physiology associated with arousal. In much of the literature, it is assumed but not demonstrated that behavioral and systemic measurements associated with arousal will be consistently linked because both estimate a common underlying arousal process. In this work, we examined this assumption by simultaneously measuring reaction time, heart rate, and pupil diameter in rhesus macaque monkeys performing several visual tasks over hours and across hundreds of sessions. We found a portion of the variability in reaction time could be linked to systemic physiological signatures of arousal on fast timescales from second to second and slower timescales from minute to minute. This link between reaction time and systemic physiology was also present for different biomarkers of arousal (heart rate and pupil). However, the strength of this relationship varied depending on the arousal biomarker. Our findings support the conclusion that there are multiple arousal mechanisms that act simultaneously to influence behavior and multiple timescales at which they operate.

Identifiers

PMID41929150
PMCPMC13041937

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.