Evidence map›Paper›PMID 29570815›Full record

ArticlePsychophysiology2018

Identifying auditory cortex encoding abnormalities in schizophrenia: The utility of low-frequency versus 40 Hz steady-state measures.

J C Edgar, Charles L Fisk, Yu-Han Chen, Breannan Stone-Howell, Song Liu, Michael A Hunter, Mingxiong Huang, Juan Bustillo, José M Cañive, Gregory A Miller

Abstract read
In one paragraph

Article in Psychophysiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Magnetoencephalography for Schizophrenia.Neuroimaging clinics of North America · 2020
    Review
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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

10 authors.

J C EdgarThe Children's Hospital of Philadelphia and University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Charles L FiskThe Children's Hospital of Philadelphia and University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Yu-Han ChenThe Children's Hospital of Philadelphia and University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Breannan Stone-HowellDepartment of Psychiatry, The University of New Mexico School of Medicine, Center for Psychiatric Research, Albuquerque, New Mexico, USA.
Song LiuThe Children's Hospital of Philadelphia and University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Michael A HunterDepartment of Psychiatry, The University of New Mexico School of Medicine, Center for Psychiatric Research, Albuquerque, New Mexico, USA.
Mingxiong HuangDepartment of Radiology, University of California, San Diego, San Diego, California, USA.
Juan BustilloDepartment of Psychiatry, The University of New Mexico School of Medicine, Center for Psychiatric Research, Albuquerque, New Mexico, USA.
José M CañiveDepartment of Psychiatry, The University of New Mexico School of Medicine, Center for Psychiatric Research, Albuquerque, New Mexico, USA.
Gregory A MillerDepartment of Psychology and Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, California, USA.

Funding

Multivariate methods for identifying multitask/multimodal brain imaging biomarkersR01EB006841 · NIBIB · THE MIND RESEARCH NETWORK · PI VINCE D CALHOUN, Sergey Plis · 2007 to 2026
$9.8M
NEURAL MECHANISMS OF SCHIZOPHRENIAP20RR021938 · NCRR · THE MIND RESEARCH NETWORK · PI JUNG, REX · 2008 to 2011
$9.4M
Schizophrenia Gating Deficit Mechanisms: Extending the CircuitR01MH065304 · NIMH · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI CANIVE, JOSE MIGUEL · 2002 to 2013
$3.7M
Unified multivariate data-driven solutions for static and dynamic brain connectivityR01EB020407 · NIBIB · THE MIND RESEARCH NETWORK · PI ADALI, TULAY, CALHOUN, VINCE D · 2015 to 2018
$2.7M
Development of infant brain MEG responses to social stimuli: comparison to ASDK01MH108822 · NIMH · CHILDREN'S HOSP OF PHILADELPHIA · PI CHEN, YU-HAN · 2015 to 2019
$881k
Auditory Cortex Structure and Function in SchizophreniaK08MH085100 · NIMH · CHILDREN'S HOSP OF PHILADELPHIA · PI EDGAR, JAMES CHRISTOPHER · 2010 to 2013
$670k
NCRR NIH HHS P20 RR021938NIBIB NIH HHS R01 EB006841NIBIB NIH HHS R01 EB020407NIMH NIH HHS K01 MH108822NIMH NIH HHS K08 MH085100NIMH NIH HHS R01 MH065304
6 · The paper itself

Abstract

Magnetoencephalography (MEG) and EEG have identified poststimulus low frequency and 40 Hz steady-state auditory encoding abnormalities in schizophrenia (SZ). Negative findings have also appeared. To identify factors contributing to these inconsistencies, healthy control (HC) and SZ group differences were examined in MEG and EEG source space and EEG sensor space, with better group differentiation hypothesized for source than sensor measures given greater predictive utility for source measures. Fifty-five HC and 41 chronic SZ were presented 500 Hz sinusoidal stimuli modulated at 40 Hz during simultaneous whole-head MEG and EEG. MEG and EEG source models using left and right superior temporal gyrus (STG) dipoles estimated trial-to-trial phase similarity and percent change from prestimulus baseline. Group differences in poststimulus low-frequency activity and 40 Hz steady-state response were evaluated. Several EEG sensor analysis strategies were also examined. Poststimulus low-frequency group differences were observed across all methods. Given an age-related decrease in left STG 40 Hz steady-state activity in HC (HC > SZ), 40 Hz steady-state group differences were evident only in younger participants' source measures. Findings thus indicated that optimal data collection and analysis methods depend on the auditory encoding measure of interest. In addition, whereas results indicated that HC and SZ auditory encoding low-frequency group differences are generally comparable across modality and analysis strategy (and thus not dependent on obtaining construct-valid measures of left and right auditory cortex activity), 40 Hz steady-state group-difference findings are much more dependent on analysis strategy, with 40 Hz steady-state source-space findings providing the best group differentiation.

Indexed as

Evoked Potentials, AuditoryAdultAuditory CortexBrain WavesElectroencephalographyFemaleHumansMagnetoencephalographyMaleMiddle AgedSchizophreniaSignal Processing, Computer-AssistedYoung Adultauditory encodingelectroencephalographymagnetoencephalographyschizophreniasuperior temporal gyrus

Identifiers

PMID29570815
PMCPMC6105408

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Registered trials

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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.