Evidence map›Paper›PMID 35606150›Full record

ArticleeNeuro

EEG Signals Index a Global Signature of Arousal Embedded in Neuronal Population Recordings.

Richard Johnston, Adam C Snyder, Rachel S Schibler, Matthew A Smith

Abstract read
In one paragraph

Article in eNeuro. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Systemic physiological "noise" in fMRI has clinical relevance.medRxiv : the preprint server for health sciences · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Why is everyone talking about brain state?Trends in neurosciences · 2023
    Review
  10. Article
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

4 authors.

Richard JohnstonDepartment of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213.
Adam C SnyderDepartment of Brain and Cognitive Sciences, University of Rochester, Rochester, PA 14627.
Rachel S SchiblerHarvey Mudd College, Claremont, CA 91711.
Matthew A SmithDepartment of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213 mattsmith@cmu.edu.ORCID https://orcid.org/0000-0003-1192-9942

Funding

Virus Production and Manipulation of Protein/Gene Expression ModuleP30EY008098 · NEI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Marlene Behrmann · 1989 to 2026
$17.8M
Interdiscplinary Training in Computational NeuroscienceR90DA023426 · NIDA · CARNEGIE-MELLON UNIVERSITY · PI KASS, ROBERT E, RUBIN, JONATHAN E. · 2006 to 2020
$4.5M
Slow time scale fluctuations in neurons and behaviorR01MH128393 · NIMH · CARNEGIE-MELLON UNIVERSITY · PI MATTHEW A SMITH · 2022 to 2026
$2.2M
CRCNS: Modulating Neural Population Interactions between Cortical AreasR01MH118929 · NIMH · CARNEGIE-MELLON UNIVERSITY · PI SMITH, MATTHEW A, YU, BYRON M. · 2018 to 2022
$1.7M
Dynamic population codes for perceptionR01EY029250 · NEI · CARNEGIE-MELLON UNIVERSITY · PI SMITH, MATTHEW A · 2020 to 2023
$1.3M
Neuronal population dynamics within and across cortical areasR01EB026953 · NIBIB · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DOIRON, BRENT D., SMITH, MATTHEW A · 2018 to 2020
$1.0M
CRCNS: Interhemispheric coordination for memory and actionR01NS147766 · NINDS · CARNEGIE-MELLON UNIVERSITY · PI Joseph Patrick Mayo, MATTHEW A SMITH · 2025 to 2026
$750k
High-dimensional analysis of selective visual attention mechanismsR00EY025768 · NEI · UNIVERSITY OF ROCHESTER · PI SNYDER, ADAM CHRISTOPHER · 2018 to 2020
$744k
Identifying selective visual attention mechanisms through high-dimensional analysis.K99EY025768 · NEI · CARNEGIE-MELLON UNIVERSITY · PI SNYDER, ADAM CHRISTOPHER · 2015 to 2016
$196k
NEI NIH HHS K99 EY025768NEI NIH HHS P30 EY008098NEI NIH HHS R00 EY025768NEI NIH HHS R01 EY029250NIBIB NIH HHS R01 EB026953NIDA NIH HHS R90 DA023426NIMH NIH HHS R01 MH118929NIMH NIH HHS R01 MH128393NINDS NIH HHS R01 NS147766
6 · The paper itself

Abstract

Electroencephalography (EEG) has long been used to index brain states, from early studies describing activity in the presence and absence of visual stimulation to modern work employing complex perceptual tasks. These studies have shed light on brain-wide signals but often lack explanatory power at the single neuron level. Similarly, single neuron recordings can suffer from an inability to measure brain-wide signals accessible using EEG. Here, we combined these techniques while monkeys performed a change detection task and discovered a novel link between spontaneous EEG activity and a neural signal embedded in the spiking responses of neuronal populations. This "slow drift" was associated with fluctuations in the subjects' arousal levels over time: decreases in prestimulus α power were accompanied by increases in pupil size and decreases in microsaccade rate. These results show that brain-wide EEG signals can be used to index modes of activity present in single neuron recordings, that in turn reflect global changes in brain state that influence perception and behavior.

Indexed as

ArousalElectroencephalographyBrainHumansNeuronsPhotic Stimulationelectroencephalographymicrosaccadepupilslow driftα

Identifiers

PMID35606150
PMCPMC9186107

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.