Evidence map›Paper›PMID 34637747›Full record

ArticleCurrent biology : CB2021

Inter-electrode correlations measured with EEG predict individual differences in cognitive ability.

Nicole Hakim, Edward Awh, Edward K Vogel, Monica D Rosenberg

Open access · greenAbstract read
In one paragraph

Article in Current biology : CB, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

8 citing papers in PubMed, 17 citations in OpenAlex.

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  8. An electroencephalography connectome predictive model of craving for methamphetamine.International journal of clinical and health psychology : IJCHP
    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 at 1 institution in 1 country.

Nicole HakimDepartment of Psychology, University of Chicago, Chicago, IL 60637, USA; Institute for Mind and Biology, University of Chicago, Chicago, IL 60637, USA. Electronic address: nhakim2@stanford.edu.
Edward AwhDepartment of Psychology, University of Chicago, Chicago, IL 60637, USA; Institute for Mind and Biology, University of Chicago, Chicago, IL 60637, USA; Neuroscience Institute, University of Chicago, Chicago, IL 60637, USA.
Edward K VogelDepartment of Psychology, University of Chicago, Chicago, IL 60637, USA; Institute for Mind and Biology, University of Chicago, Chicago, IL 60637, USA; Neuroscience Institute, University of Chicago, Chicago, IL 60637, USA.
Monica D RosenbergDepartment of Psychology, University of Chicago, Chicago, IL 60637, USA; Neuroscience Institute, University of Chicago, Chicago, IL 60637, USA.
University of Chicago · US

Funding

The Distinction Between Number and Resolution in Visual Working MemoryR01MH087214 · NIMH · UNIVERSITY OF OREGON · PI AWH, EDWARD, VOGEL, EDWARD K · 2009 to 2023
$11.0M
NIMH NIH HHS R01 MH087214
6 · The paper itself

Abstract

Human brains share a broadly similar functional organization with consequential individual variation. This duality in brain function has primarily been observed when using techniques that consider the spatial organization of the brain, such as MRI. Here, we ask whether these common and unique signals of cognition are also present in temporally sensitive but spatially insensitive neural signals. To address this question, we compiled electroencephalogram (EEG) data from individuals of both sexes while they performed multiple working memory tasks at two different data-collection sites (n = 171 and 165). Results revealed that trial-averaged EEG activity exhibited inter-electrode correlations that were stable within individuals and unique across individuals. Furthermore, models based on these inter-electrode correlations generalized across datasets to predict participants' working memory capacity and general fluid intelligence. Thus, inter-electrode correlation patterns measured with EEG provide a signature of working memory and fluid intelligence in humans and a new framework for characterizing individual differences in cognitive abilities.

Indexed as

ElectroencephalographyIndividualityBrainCognitionElectrodesFemaleHumansMaleMemory, Short-Termbrain-based modelingcognitionconnectivitycross-validationEEGfluid intelligenceindividual differencesinter-electrode correlationpredictionworking memory

Identifiers

PMID34637747
PMCPMC8612967
OpenAlexW3206490809

What OpenQuestion holds

Textmetadata
LicenceTDM
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.