Evidence map›Paper›PMID 24736173›Full record

ArticleNeuroImage2014

Reliability of functional magnetic resonance imaging activation during working memory in a multi-site study: analysis from the North American Prodrome Longitudinal Study.

Jennifer K Forsyth, Sarah C McEwen, Dylan G Gee, Carrie E Bearden, Jean Addington, Brad Goodyear, Kristin S Cadenhead, Heline Mirzakhanian, Barbara A Cornblatt, Doreen M Olvet and 13 more

Abstract readMulticenter Study
In one paragraph

Article in NeuroImage, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

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

  1. Pooled it
  2. Reliability of mismatch negativity event-related potentials in a multisite, traveling subjects study.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2020
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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

23 authors.

Jennifer K ForsythUniversity of California, Los Angeles, Los Angeles, CA, United States.
Sarah C McEwenUniversity of California, Los Angeles, Los Angeles, CA, United States.
Dylan G GeeUniversity of California, Los Angeles, Los Angeles, CA, United States.
Carrie E BeardenUniversity of California, Los Angeles, Los Angeles, CA, United States.
Jean AddingtonUniversity of Calgary, Calgary, Alberta, Canada.
Brad GoodyearUniversity of Calgary, Calgary, Alberta, Canada.
Kristin S CadenheadUniversity of California, San Diego, San Diego, CA, United States.
Heline MirzakhanianUniversity of California, San Diego, San Diego, CA, United States.
Barbara A CornblattZucker Hillside Hospital, Great Neck, NY, United States.
Doreen M OlvetZucker Hillside Hospital, Great Neck, NY, United States.
Daniel H MathalonUniversity of California, San Francisco, San Francisco, CA, United States.
Thomas H McGlashanYale University, New Haven, CT, United States.
Diana O PerkinsUniversity of North Carolina, Chapel Hill, Chapel Hill, NC, United States.
Aysenil BelgerUniversity of North Carolina, Chapel Hill, Chapel Hill, NC, United States.
Larry J SeidmanBeth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, United States.
Heidi W ThermenosBeth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, United States.
Ming T TsuangUniversity of California, San Diego, San Diego, CA, United States.
Theo G M van ErpUniversity of California, Irvine, Irvine, CA, United States.
Elaine F WalkerEmory University, Atlanta, GA, United States.
Stephan HamannEmory University, Atlanta, GA, United States.
Scott W WoodsYale University, New Haven, CT, United States.
Maolin QiuYale University, New Haven, CT, United States.
Tyrone D CannonYale University, New Haven, CT, United States. Electronic address: tyrone.cannon@yale.edu.

Funding

STRESS AND EMOTIONAL REACTIVITYP50MH066286 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GREEN, MICHAEL F. · 2003 to 2014
$18.6M
TR&D3: Intrinsic Surface MappingP41EB015922 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI VAN HORN, JOHN DARRELL · 2012 to 2022
$14.1M
1/9 Predictors and Mechanisms of Conversion to PsychosisU01MH081902 · NIMH · YALE UNIVERSITY · PI CANNON, TYRONE D · 2008 to 2018
$12.4M
5/9 Predictors and Mechanisms of Conversion to PsychosisU01MH082004 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI PERKINS, DIANA O. · 2008 to 2018
$7.5M
Administrative Supplement Harmonization of At Risk Multisite Observational Networks for Youth(HARMONY)U01MH081928 · NIMH · BETH ISRAEL DEACONESS MEDICAL CENTER · PI STONE, WILLIAM SETH · 2008 to 2018
$7.1M
2/9 - Predictors and Mechanisms of Conversion to PsychosisU01MH081988 · NIMH · EMORY UNIVERSITY · PI WALKER, ELAINE FRAN · 2008 to 2018
$5.4M
6/9-Predictors and Mechanisms of Conversion to PsychosisU01MH081944 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CADENHEAD, KRISTIN S. · 2008 to 2018
$4.9M
"7/9" Predictors and Mechanisms of Conversion to PsychosisU01MH081984 · NIMH · UNIVERSITY OF CALGARY · PI ADDINGTON, JEAN M · 2008 to 2018
$4.2M
9/9-Predictors and Mechanisms of Conversion to PsychosisU01MH076989 · NIMH · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI MATHALON, DANIEL H · 2014 to 2018
$3.9M
Enhancing the Prospective Prediction of PsychosisU01MH066160 · NIMH · YALE UNIVERSITY · PI WOODS, SCOTT W · 2003 to 2007
$1.6M
NIBIB NIH HHS 9P41EB015922NIBIB NIH HHS P41 EB015922NIMH NIH HHS MH081902NIMH NIH HHS MH081984NIMH NIH HHS MH081988NIMH NIH HHS P50 MH066286NIMH NIH HHS U01 MH066160NIMH NIH HHS U01MH066160NIMH NIH HHS U01 MH076989NIMH NIH HHS U01 MH081902NIMH NIH HHS U01 MH081928NIMH NIH HHS U01 MH081944NIMH NIH HHS U01 MH081984NIMH NIH HHS U01 MH081988NIMH NIH HHS U01 MH082004
6 · The paper itself

Abstract

Multi-site neuroimaging studies offer an efficient means to study brain functioning in large samples of individuals with rare conditions; however, they present new challenges given that aggregating data across sites introduces additional variability into measures of interest. Assessing the reliability of brain activation across study sites and comparing statistical methods for pooling functional data are critical to ensuring the validity of aggregating data across sites. The current study used two samples of healthy individuals to assess the feasibility and reliability of aggregating multi-site functional magnetic resonance imaging (fMRI) data from a Sternberg-style verbal working memory task. Participants were recruited as part of the North American Prodrome Longitudinal Study (NAPLS), which comprises eight fMRI scanning sites across the United States and Canada. In the first study sample (n=8), one participant from each home site traveled to each of the sites and was scanned while completing the task on two consecutive days. Reliability was examined using generalizability theory. Results indicated that blood oxygen level-dependent (BOLD) signal was reproducible across sites and was highly reliable, or generalizable, across scanning sites and testing days for core working memory ROIs (generalizability ICCs=0.81 for left dorsolateral prefrontal cortex, 0.95 for left superior parietal cortex). In the second study sample (n=154), two statistical methods for aggregating fMRI data across sites for all healthy individuals recruited as control participants in the NAPLS study were compared. Control participants were scanned on one occasion at the site from which they were recruited. Results from the image-based meta-analysis (IBMA) method and mixed effects model with site covariance method both showed robust activation in expected regions (i.e. dorsolateral prefrontal cortex, anterior cingulate cortex, supplementary motor cortex, superior parietal cortex, inferior temporal cortex, cerebellum, thalamus, basal ganglia). Quantification of the similarity of group maps from these methods confirmed a very high (96%) degree of spatial overlap in results. Thus, brain activation during working memory function was reliable across the NAPLS sites and both the IBMA and mixed effects model with site covariance methods appear to be valid approaches for aggregating data across sites. These findings indicate that multi-site functional neuroimaging can offer a reliable means to increase power and generalizability of results when investigating brain function in rare populations and support the multi-site investigation of working memory function in the NAPLS study, in particular.

Indexed as

AdolescentAdultBrainCanadaFemaleHumansImage Processing, Computer-AssistedLongitudinal StudiesMagnetic Resonance ImagingMaleMemory, Short-TermMulticenter Studies as TopicOxygenPsychomotor PerformanceReaction TimeReproducibility of ResultsOxygenfMRIG-theoryMulti-siteReliabilityWorking memory

Identifiers

PMID24736173
PMCPMC4065837

What OpenQuestion holds

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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.