Evidence map›Paper›PMID 21718791›Full record

ReviewNeuroImage2012

A selective review of simulated driving studies: Combining naturalistic and hybrid paradigms, analysis approaches, and future directions.

V D Calhoun, G D Pearlson

Abstract readReview
In one paragraph

Review in NeuroImage, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

40 citing papers in PubMed, 114 citations in OpenAlex.

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  14. Cannabis and Driving.Frontiers in psychiatry · 2021
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

V D CalhounThe Mind Research Network, Albuquerque, NM 87106, USA. vcalhoun@unm.edu
G D Pearlson
Hartford Financial Services (United States)Mind Research Network · US

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
Multi-group semi-blind ICA of fMRIR01EB000840 · NIBIB · THE MIND RESEARCH NETWORK · PI CALHOUN, VINCE D · 2003 to 2011
$3.2M
Alcohol Use in College Students:Cognition and fMRIR01AA016599 · NIAAA · YALE UNIVERSITY · PI PEARLSON, GODFREY D · 2008 to 2012
$3.0M
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
fMRI Imaging of Alcohol-Intoxicated DrivingR01AA015615 · NIAAA · YALE UNIVERSITY · PI PEARLSON, GODFREY D · 2005 to 2008
$943k
NIAAA NIH HHS R01 AA015615NIAAA NIH HHS R01 AA016599NIAAA NIH HHS R01AA016599NIBIB NIH HHS R01 EB 000840NIBIB NIH HHS R01 EB000840NIBIB NIH HHS R01 EB006841NIBIB NIH HHS R01 EB020407
6 · The paper itself

Abstract

Naturalistic paradigms such as movie watching or simulated driving that mimic closely real-world complex activities are becoming more widely used in functional magnetic resonance imaging (fMRI) studies both because of their ability to robustly stimulate brain connectivity and the availability of analysis methods which are able to capitalize on connectivity within and among intrinsic brain networks identified both during a task and in resting fMRI data. In this paper we review over a decade of work from our group and others on the use of simulated driving paradigms to study both the healthy brain as well as the effects of acute alcohol administration on functional connectivity during such paradigms. We briefly review our initial work focused on the configuration of the driving simulator and the analysis strategies. We then describe in more detail several recent studies from our group including a hybrid study examining distracted driving and compare resulting data with those from a separate visual oddball task (Fig. 6). The analysis of these data was performed primarily using a combination of group independent component analysis (ICA) and the general linear model (GLM) and in the various studies we highlight novel findings which result from an analysis of either 1) within-network connectivity, 2) inter-network connectivity, also called functional network connectivity, or 3) the degree to which the modulation of the various intrinsic networks were associated with the alcohol administration and the task context. Despite the fact that the behavioral effects of alcohol intoxication are relatively well known, there is still much to discover on how acute alcohol exposure modulates brain function in a selective manner, associated with behavioral alterations. Through the above studies, we have learned more regarding the impact of acute alcohol intoxication on organization of the brain's intrinsic connectivity networks during performance of a complex, real-world cognitive operation. Lessons learned from the above studies have broader applicability to designing ecologically valid, complex, functional MRI cognitive paradigms and incorporating pharmacologic challenges into such studies. Overall, the use of hybrid driving studies is a particularly promising area of neuroscience investigation.

Indexed as

Automobile DrivingComputer SimulationAlcoholic IntoxicationBrainBrain MappingHumansMagnetic Resonance ImagingNeural Pathways

Identifiers

PMID21718791
PMCPMC3197797
OpenAlexW1965901841

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.