Evidence map›Paper›PMID 29118108›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2017

Network Configurations in the Human Brain Reflect Choice Bias during Rapid Face Processing.

Tao Tu, Noam Schneck, Jordan Muraskin, Paul Sajda

Abstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

4 authors.

Tao TuDepartment of Biomedical Engineering and.ORCID 0000-0001-9191-7938
Noam SchneckDepartment of Biomedical Engineering and.
Jordan MuraskinDepartment of Biomedical Engineering and.ORCID 0000-0002-9913-4193
Paul SajdaDepartment of Biomedical Engineering and psajda@columbia.edu.ORCID 0000-0002-9738-1342

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

Network interactions are likely to be instrumental in processes underlying rapid perception and cognition. Specifically, high-level and perceptual regions must interact to balance pre-existing models of the environment with new incoming stimuli. Simultaneous electroencephalography (EEG) and fMRI (EEG/fMRI) enables temporal characterization of brain-network interactions combined with improved anatomical localization of regional activity. In this paper, we use simultaneous EEG/fMRI and multivariate dynamical systems (MDS) analysis to characterize network relationships between constitute brain areas that reflect a subject's choice for a face versus nonface categorization task. Our simultaneous EEG and fMRI analysis on 21 human subjects (12 males, 9 females) identifies early perceptual and late frontal subsystems that are selective to the categorical choice of faces versus nonfaces. We analyze the interactions between these subsystems using an MDS in the space of the BOLD signal. Our main findings show that differences between face-choice and house-choice networks are seen in the network interactions between the early and late subsystems, and that the magnitude of the difference in network interaction positively correlates with the behavioral false-positive rate of face choices. We interpret this to reflect the role of saliency and expectations likely encoded in frontal "late" regions on perceptual processes occurring in "early" perceptual regions.

Indexed as

ConnectomeFaceModels, NeurologicalAdultAttentionAutomobilesChoice BehaviorComputer SimulationElectroencephalographyFemaleFunctional NeuroimagingHousingHumansMagnetic Resonance ImagingMaleMultimodal Imagingchoice biasdynamical systemEEG-fMRIfacesnetworks

Identifiers

PMID29118108
PMCPMC5729192

What OpenQuestion holds

Textmetadata
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.