Evidence map›Paper›PMID 34045937›Full record

ArticleFrontiers in neuroscience2020

Voxel-Based State Space Modeling Recovers Task-Related Cognitive States in Naturalistic fMRI Experiments.

Tianjiao Zhang, James S Gao, Tolga Çukur, Jack L Gallant

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
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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

4 authors.

Tianjiao ZhangProgram in Bioengineering, University of California, Berkeley, Berkeley, CA, United States.
James S GaoHelen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, United States.
Tolga ÇukurDepartment of Electrical and Electronics Engineering, Bilkent University, Ankara, Turkey.
Jack L GallantProgram in Bioengineering, University of California, Berkeley, Berkeley, CA, United States.

Funding

Visual Representation and AttentionR01EY019684 · NEI · UNIVERSITY OF CALIFORNIA BERKELEY · PI GALLANT, JACK L · 2010 to 2018
$2.9M
Attentional Modulation of Brain RepresentationsR01EY022454 · NEI · UNIVERSITY OF CALIFORNIA BERKELEY · PI GALLANT, JACK L · 2013 to 2016
$1.6M
NEI NIH HHS R01 EY019684NEI NIH HHS R01 EY022454
6 · The paper itself

Abstract

Complex natural tasks likely recruit many different functional brain networks, but it is difficult to predict how such tasks will be represented across cortical areas and networks. Previous electrophysiology studies suggest that task variables are represented in a low-dimensional subspace within the activity space of neural populations. Here we develop a

Indexed as

complex task environmentsdimensionality reductionfunctional magnetic resonance imagingnaturalistic stimulistate space

Identifiers

PMID34045937
PMCPMC8145286

What OpenQuestion holds

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LicenceCC BY
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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.