Evidence map›Paper›PMID 26108954›Full record

ArticleJournal of neurophysiology2015

Stimulus-dependent spiking relationships with the EEG.

Adam C Snyder, Matthew A Smith

Open access · greenAbstract read
In one paragraph

Article in Journal of neurophysiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.5field-weighted citation impact, top 34% of its field
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

11 citing papers in PubMed, 16 citations in OpenAlex.

  1. Predicting spiking activity from scalp EEG.Journal of neural engineering · 2025
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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

2 authors at 2 institutions in 1 country.

Adam C SnyderDepartment of Ophthalmology, University of Pittsburgh, Pittsburgh, Pennsylvania; Center for the Neural Basis of Cognition, University of Pittsburgh, Pittsburgh, Pennsylvania;
Matthew A SmithDepartment of Ophthalmology, University of Pittsburgh, Pittsburgh, Pennsylvania; Center for the Neural Basis of Cognition, University of Pittsburgh, Pittsburgh, Pennsylvania; Department of Bioengineering, University of Pittsburgh, Pittsburgh, Pennsylvania; and Fox Center for Vision Restoration, University of Pittsburgh, Pittsburgh, Pennsylvania smithma@pitt.edu.
Center for the Neural Basis of Cognition · USUniversity of Pittsburgh · US

Funding

Virus Production and Manipulation of Protein/Gene Expression ModuleP30EY008098 · NEI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Marlene Behrmann · 1989 to 2026
$17.8M
Dynamic Mechanisms of active vision in prefrontal cortexR01EY022928 · NEI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SMITH, MATTHEW A · 2014 to 2018
$1.9M
Influence of attention and eye movement signals on population coding in area V4R00EY018894 · NEI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SMITH, MATTHEW A · 2011 to 2013
$735k
Micro- and macro-scale cortical dynamics underlying visual attentionF32EY023456 · NEI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SNYDER, ADAM CHRISTOPHER · 2014 to 2015
$93k
NEI NIH HHS F32 EY-023456NEI NIH HHS P30 EY-008098NEI NIH HHS R00EY-018894NEI NIH HHS R01 EY-022928
6 · The paper itself

Abstract

The development and refinement of noninvasive techniques for imaging neural activity is of paramount importance for human neuroscience. Currently, the most accessible and popular technique is electroencephalography (EEG). However, nearly all of what we know about the neural events that underlie EEG signals is based on inference, because of the dearth of studies that have simultaneously paired EEG recordings with direct recordings of single neurons. From the perspective of electrophysiologists there is growing interest in understanding how spiking activity coordinates with large-scale cortical networks. Evidence from recordings at both scales highlights that sensory neurons operate in very distinct states during spontaneous and visually evoked activity, which appear to form extremes in a continuum of coordination in neural networks. We hypothesized that individual neurons have idiosyncratic relationships to large-scale network activity indexed by EEG signals, owing to the neurons' distinct computational roles within the local circuitry. We tested this by recording neuronal populations in visual area V4 of rhesus macaques while we simultaneously recorded EEG. We found substantial heterogeneity in the timing and strength of spike-EEG relationships and that these relationships became more diverse during visual stimulation compared with the spontaneous state. The visual stimulus apparently shifts V4 neurons from a state in which they are relatively uniformly embedded in large-scale network activity to a state in which their distinct roles within the local population are more prominent, suggesting that the specific way in which individual neurons relate to EEG signals may hold clues regarding their computational roles.

Indexed as

Action PotentialsEvoked Potentials, VisualAnimalsElectric StimulationElectroencephalographyMacaca mulattaMalePhotic StimulationReaction TimeSensory Receptor CellsVisual CortexEEGlocal field potentialspiking activity

Identifiers

PMID26108954
PMCPMC4556847
OpenAlexW2215374475

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.