Evidence map›Paper›PMID 28588458›Full record

ArticleFrontiers in behavioral neuroscience2017

Modes of Effective Connectivity within Cortical Pathways Are Distinguished for Different Categories of Visual Context: An fMRI Study.

Qiong Wu, Jinglong Wu, Shigeko Takahashi, Qiang Huang, Hongzan Sun, Qiyong Guo, Yoshio Ohtani, Yoshimichi Ejima, Xu Zhang, Chunlin Li and 1 more

Abstract read
In one paragraph

Article in Frontiers in behavioral neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

11 authors.

Qiong WuKey Laboratory of Biomimetic Robots and System, Ministry of Education, State Key Laboratory of Intelligent Control and Decision of Complex Systems, Beijing Institute of TechnologyBeijing, China.
Jinglong WuKey Laboratory of Biomimetic Robots and System, Ministry of Education, State Key Laboratory of Intelligent Control and Decision of Complex Systems, Beijing Institute of TechnologyBeijing, China.
Shigeko TakahashiKyoto City University of ArtsKyoto, Japan.
Qiang HuangKey Laboratory of Biomimetic Robots and Systems, Ministry of Education, Beijing Institute of TechnologyBeijing, China.
Hongzan SunDepartment of Radiology, Shengjing Hospital of China Medical UniversityShenyang, China.
Qiyong GuoDepartment of Radiology, Shengjing Hospital of China Medical UniversityShenyang, China.
Yoshio OhtaniFaculty of Engineering and Design, Kyoto Institute of TechnologyKyoto, Japan.
Yoshimichi EjimaKey Laboratory of Biomimetic Robots and System, Ministry of Education, State Key Laboratory of Intelligent Control and Decision of Complex Systems, Beijing Institute of TechnologyBeijing, China.
Xu ZhangSchool of Biomedical Engineering, Capital Medical UniversityBeijing, China.
Chunlin LiSchool of Biomedical Engineering, Capital Medical UniversityBeijing, China.
Tianyi YanSchool of Life Science, Beijing Institute of TechnologyBeijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Context contributes to accurate and efficient information processing. To reveal the dynamics of the neural mechanisms that underlie the processing of visual contexts during the recognition of color, shape, and 3D structure of objects, we carried out functional magnetic resonance imaging (fMRI) of subjects while judging the contextual validity of the three visual contexts. Our results demonstrated that the modes of effective connectivity in the cortical pathways, as well as the patterns of activation in these pathways, were dynamical depending on the nature of the visual contexts. While the fusiform gyrus, superior parietal lobe, and inferior prefrontal gyrus were activated by the three visual contexts, the temporal and parahippocampal gyrus/Amygdala (PHG/Amg) cortices were activated only by the color context. We further carried out dynamic causal modeling (DCM) analysis and revealed the nature of the effective connectivity involved in the three contextual information processing. DCM showed that there were dynamic connections and collaborations among the brain regions belonging to the previously identified ventral and dorsal visual pathways.

Indexed as

3D-depth contextcolor contextcontextual informationdynamic causal modelingfMRIshape context

Identifiers

PMID28588458
PMCPMC5440725

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.