Evidence map›Paper›PMID 24392276›Full record

ArticleBrain and behavior2013

High-throughput cognitive assessment using BrainTest.org: examining cognitive control in a family cohort.

Fred W Sabb, Gerhard Hellemann, Deanna Lau, Jessica R Vanderlan, Heather J Cohen, Robert M Bilder, James T McCracken

Abstract read
In one paragraph

Article in Brain and behavior, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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

7 authors.

Fred W SabbSemel Institute for Neuroscience and Human Behavior Brain Research Institute David Geffen School of Medicine, University of California Los Angeles, California.
Gerhard HellemannSemel Institute for Neuroscience and Human Behavior Brain Research Institute David Geffen School of Medicine, University of California Los Angeles, California.
Deanna LauSemel Institute for Neuroscience and Human Behavior Brain Research Institute David Geffen School of Medicine, University of California Los Angeles, California.
Jessica R VanderlanSemel Institute for Neuroscience and Human Behavior Brain Research Institute David Geffen School of Medicine, University of California Los Angeles, California.
Heather J CohenSemel Institute for Neuroscience and Human Behavior Brain Research Institute David Geffen School of Medicine, University of California Los Angeles, California.
Robert M BilderSemel Institute for Neuroscience and Human Behavior Brain Research Institute David Geffen School of Medicine, University of California Los Angeles, California.
James T McCrackenSemel Institute for Neuroscience and Human Behavior Brain Research Institute David Geffen School of Medicine, University of California Los Angeles, California.

Funding

Translational Research to Enhance Cognitive ControlP50MH077248 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MCCRACKEN, JAMES T. · 2006 to 2011
$9.2M
High-Throughput Cognitive Phenomics: A Novel Framework for Psychiatric GWASR01MH091669 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SABB, FRED W. · 2010 to 2012
$841k
NIMH NIH HHS P50 MH077248NIMH NIH HHS R01 MH091669
6 · The paper itself

Abstract

Introduction Understanding the relationship between brain and complex latent behavioral constructs like cognitive control will require an inordinate amount of data. Internet-based methods can rapidly and efficiently refine behavioral measures in very large samples that are needed for genetics and behavioral research. Cognitive control is a multifactorial latent construct that is considered to be an endophenotype in numerous neuropsychiatric disorders, including attention deficit/hyperactivity disorder (ADHD). While previous studies have demonstrated high correlations between Web- and lab-based scores, skepticism remains for its broad implementation. Methods Here, we promote a different approach by characterizing a completely Web-recruited and tested community family sample on measures of cognitive control. We examine the prevalence of attention deficit symptoms in an online community sample of adolescents, demonstrate familial correlations in cognitive control measures, and use construct validation techniques to validate our high-throughput assessment approach. Results A total of 1214 participants performed Web-based tests of cognitive control with over 200 parent-child pairs analyzed as part of the primary study aims. The data show a wide range of "subclinical" symptomatology in a web community sample of adolescents that supports a dimensional view of attention and also provide preliminary narrow-sense heritability estimates for commonly used working memory and response inhibition tests. Conclusions Finally, we show strong face and construct validity for these measures of cognitive control that generally exceeds the evidence required of new lab-based measures. We discuss these results and how broad implementation of this platform may allow us to uncover important brain-behavior relationships quickly and efficiently.

Indexed as

Cognitive controlinattentionspatial working memorysymptomsWWW

Identifiers

PMID24392276
PMCPMC3869983

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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.