Evidence map›Paper›PMID 27720819›Full record

ArticleNeuroImage2017

Mapping white-matter functional organization at rest and during naturalistic visual perception.

Lauren Marussich, Kun-Han Lu, Haiguang Wen, Zhongming Liu

Open access · greenAbstract read
In one paragraph

Article in NeuroImage, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
5.0field-weighted citation impact, top 4% of its field
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

57 citing papers in PubMed, 104 citations in OpenAlex.

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  10. Identification of functional white matter networks in BOLD fMRI.Proceedings of SPIE--the International Society for Optical Engineering · 2024
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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 at 1 institution in 1 country.

Lauren MarussichWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA.
Kun-Han LuSchool of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA.
Haiguang WenSchool of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA.
Zhongming LiuWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA; School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA; Purdue Institute for Integrative Neuroscience, Purdue University, West Lafayette, IN, USA. Electronic address: zmliu@purdue.edu.
Purdue University West Lafayette · US

Funding

Indiana Clinical and Translational Sciences InstituteUL1TR001108 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI DENNE, SCOTT C., SHEKHAR, ANANTHA · 2013 to 2017
$23.3M
Multimodal Hyperspectral Imaging of Brain Activity and ConnectivityR01MH104402 · NIMH · PURDUE UNIVERSITY · PI LIU, ZHONGMING · 2014 to 2018
$2.3M
Indiana Clinical and Translational Sciences InstituteTL1TR001107 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI DENNE, SCOTT C., SHEKHAR, ANANTHA · 2013 to 2017
$2.0M
NCATS NIH HHS TL1 TR001107NCATS NIH HHS UL1 TR001108NIMH NIH HHS R01 MH104402
6 · The paper itself

Abstract

Despite the wide applications of functional magnetic resonance imaging (fMRI) to mapping brain activation and connectivity in cortical gray matter, it has rarely been utilized to study white-matter functions. In this study, we investigated the spatiotemporal characteristics of fMRI data within the white matter acquired from humans both in the resting state and while watching a naturalistic movie. By using independent component analysis and hierarchical clustering, resting-state fMRI data in the white matter were de-noised and decomposed into spatially independent components, which were further assembled into hierarchically organized axonal fiber bundles. Interestingly, such components were partly reorganized during natural vision. Relative to resting state, the visual task specifically induced a stronger degree of temporal coherence within the optic radiations, as well as significant correlations between the optic radiations and multiple cortical visual networks. Therefore, fMRI contains rich functional information about the activity and connectivity within white matter at rest and during tasks, challenging the conventional practice of taking white-matter signals as noise or artifacts.

Indexed as

Brain MappingMagnetic Resonance ImagingAdultArtifactsBrainCluster AnalysisFemaleHumansMalePhotic StimulationReproducibility of ResultsVisual PathwaysVisual PerceptionWhite MatterYoung Adult

Identifiers

PMID27720819
PMCPMC5321894
OpenAlexW2528944770

What OpenQuestion holds

Textmetadata
LicenceTDM
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.