Evidence map›Paper›PMID 28673881›Full record

ArticleNeuroImage2018

A multimodal encoding model applied to imaging decision-related neural cascades in the human brain.

Jordan Muraskin, Truman R Brown, Jennifer M Walz, Tao Tu, Bryan Conroy, Robin I Goldman, Paul Sajda

Abstract read
In one paragraph

Article in NeuroImage, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Pooled it
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  8. Disentangling the origins of confidence in speeded perceptual judgments through multimodal imaging.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
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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.

Jordan MuraskinDepartment of Biomedical Engineering, Columbia University, New York, NY 10027, USA. Electronic address: jordan.muraskin@gmail.com.
Truman R BrownCenter for Biomedical Imaging, Medical University of South Carolina, Charleston, SC 29425, USA.
Jennifer M WalzDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305, USA.
Tao TuDepartment of Biomedical Engineering, Columbia University, New York, NY 10027, USA.
Bryan ConroyPhilips Research, Cambridge, MA 02141, USA.
Robin I GoldmanCenter for Healthy Minds, University of Wisconsin-Madison, Madison, WI 53705, USA.
Paul SajdaDepartment of Biomedical Engineering, Columbia University, New York, NY 10027, USA. Electronic address: psajda@columbia.edu.

Funding

Multimodal Neuroimaging for Mapping Decision Making in the Human BrainR01MH085092 · NIMH · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI SAJDA, PAUL · 2009 to 2013
$1.7M
NIMH NIH HHS R01 MH085092
6 · The paper itself

Abstract

Perception and cognition in the brain are naturally characterized as spatiotemporal processes. Decision-making, for example, depends on coordinated patterns of neural activity cascading across the brain, running in time from stimulus to response and in space from primary sensory regions to the frontal lobe. Measuring this cascade is key to developing an understanding of brain function. Here we report on a novel methodology that employs multi-modal imaging for inferring this cascade in humans at unprecedented spatiotemporal resolution. Specifically, we develop an encoding model to link simultaneously measured electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) signals to infer high-resolution spatiotemporal brain dynamics during a perceptual decision. After demonstrating replication of results from the literature, we report previously unobserved sequential reactivation of a substantial fraction of the pre-response network whose magnitude correlates with a proxy for decision confidence. Our encoding model, which temporally tags BOLD activations using time localized EEG variability, identifies a coordinated and spatially distributed neural cascade that is associated with a perceptual decision. In general the methodology illuminates complex brain dynamics that would otherwise be unobservable using fMRI or EEG acquired separately.

Indexed as

Models, NeurologicalAdultBrainBrain MappingDecision MakingElectroencephalographyFemaleHumansMagnetic Resonance ImagingMaleMultimodal ImagingYoung AdultConfidenceDecision-makingEEGfMRISimultaneous acquisition

Identifiers

PMID28673881
PMCPMC5748024

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.