Evidence map›Paper›PMID 41735053›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2026

Concurrent Multimodal Imaging Demonstrates That EEG-Based Excitation/Inhibition Balance Reflects Glutamate and GABA Balance.

Aaron Cochrane, Luke Rosedahl, Masako Tamaki, Takeo Watanabe, Yuka Sasaki

Abstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Aaron CochraneBrown University, Providence, Rhode Island 02912 aaron_cochrane@brown.edu.ORCID 0000-0001-6691-9149
Luke RosedahlBrown University, Providence, Rhode Island 02912.
Masako TamakiRIKEN Center for Brain Science, RIKEN, Saitama 3510198, Japan.
Takeo WatanabeBrown University, Providence, Rhode Island 02912.
Yuka SasakiBrown University, Providence, Rhode Island 02912.ORCID 0000-0002-0061-0250

Funding

SYSTEMATIC PSYCHOPHYSICAL INVESTIGATION OF VISUAL LEARNINGR01EY019466 · NEI · BROWN UNIVERSITY · PI Takeo Watanabe · 2009 to 2026
$6.6M
Comprehensive frameworks of perceptual learningR01EY027841 · NEI · BROWN UNIVERSITY · PI Takeo Watanabe · 2018 to 2026
$3.2M
Roles of Non-REM and REM sleep in facilitating visual perceptual learningR01EY031705 · NEI · BROWN UNIVERSITY · PI SASAKI, YUKA · 2021 to 2024
$1.6M
Mechanisms of Perceptual Learning TransferK99EY034891 · NEI · BROWN UNIVERSITY · PI ROSEDAHL, LUKE ARTHUR · 2024 to 2025
$219k
NEI NIH HHS K99 EY034891NEI NIH HHS R01 EY019466NEI NIH HHS R01 EY027841NEI NIH HHS R01 EY031705
6 · The paper itself

Abstract

Magnetic resonance spectroscopy (MRS)-derived excitation/inhibition (E/I) ratio is recognized as a valuable index of attentional modulation, the plasticity and stability of learning states, and disordered functioning. Inferring the E/I ratio from electroencephalography (EEG), however, offers greater accessibility and superior temporal resolution and therefore holds strong potential for advancing research on dynamic neural processes. Yet, the underlying neurochemical mechanisms contributing to changes in EEG-based E/I ratio remain unclear. In this study we used concurrent EEG and MRS to examine how the EEG-based E/I ratio correlates with the MRS-based E/I ratio in sleeping humans of both sexes (

Indexed as

Electroencephalographygamma-Aminobutyric AcidGlutamic AcidMultimodal ImagingNeural InhibitionAdultFemaleHumansMagnetic Resonance ImagingMagnetic Resonance SpectroscopyMaleYoung Adultgamma-Aminobutyric AcidGlutamic AcidcriticalityEEGexcitationGABAglutamateinhibition

Identifiers

PMID41735053
PMCPMC13064800

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.