Evidence map›Paper›PMID 28608643›Full record

ArticleHuman brain mapping2017

Spontaneous activity in the visual cortex is organized by visual streams.

Kun-Han Lu, Jun Young Jeong, Haiguang Wen, Zhongming Liu

Abstract read
In one paragraph

Article in Human brain mapping, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Kun-Han LuSchool of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana.
Jun Young JeongSchool of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana.
Haiguang WenSchool of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana.
Zhongming LiuSchool of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana.ORCID 0000-0002-8773-4204

Funding

Multimodal Hyperspectral Imaging of Brain Activity and ConnectivityR01MH104402 · NIMH · PURDUE UNIVERSITY · PI LIU, ZHONGMING · 2014 to 2018
$2.3M
NIMH NIH HHS R01 MH104402
6 · The paper itself

Abstract

Large-scale functional networks have been extensively studied using resting state functional magnetic resonance imaging (fMRI). However, the pattern, organization, and function of fine-scale network activity remain largely unknown. Here, we characterized the spontaneously emerging visual cortical activity by applying independent component (IC) analysis to resting state fMRI signals exclusively within the visual cortex. In this subsystem scale, we observed about 50 spatially ICs that were reproducible within and across subjects, and analyzed their spatial patterns and temporal relationships to reveal the intrinsic parcellation and organization of the visual cortex. The resulting visual cortical parcels were aligned with the steepest gradient of cortical myelination, and were organized into functional modules segregated along the dorsal/ventral pathways and foveal/peripheral early visual areas. Cortical distance could partly explain intra-hemispherical functional connectivity, but not interhemispherical connectivity; after discounting the effect of anatomical affinity, the fine-scale functional connectivity still preserved a similar visual-stream-specific modular organization. Moreover, cortical retinotopy, folding, and cytoarchitecture impose limited constraints to the organization of resting state activity. Given these findings, we conclude that spontaneous activity patterns in the visual cortex are primarily organized by visual streams, likely reflecting feedback network interactions. Hum Brain Mapp 38:4613-4630, 2017. © 2017 Wiley Periodicals, Inc.

Indexed as

ConnectomeMagnetic Resonance ImagingHumansReproducibility of ResultsRestVisual CortexVisual PathwaysVisual Perceptionfine-scale networksfunctional parcellationindependent component analysisvisual streams

Identifiers

PMID28608643
PMCPMC5546954

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Registered trials

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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.