Evidence map›Paper›PMID 24103849›Full record

ReviewNeuroImage2014

Fusing DTI and fMRI data: a survey of methods and applications.

Dajiang Zhu, Tuo Zhang, Xi Jiang, Xintao Hu, Hanbo Chen, Ning Yang, Jinglei Lv, Junwei Han, Lei Guo, Tianming Liu

Abstract readReview
In one paragraph

Review in NeuroImage, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 2 pooled it
–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

62 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  17. TOPOLOGICAL LEARNING FOR BRAIN NETWORKS.The annals of applied statistics · 2023
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2 more citing papers are in PubMed but not listed here.

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

10 authors.

Dajiang ZhuCortical Architecture Imaging and Discovery Lab, Department of Computer Science, The University of Georgia, Athens, GA, USA.
Tuo ZhangSchool of Automation, Northwestern Polytechnical University, Xi'an, China.
Xi JiangCortical Architecture Imaging and Discovery Lab, Department of Computer Science, The University of Georgia, Athens, GA, USA.
Xintao HuSchool of Automation, Northwestern Polytechnical University, Xi'an, China.
Hanbo ChenCortical Architecture Imaging and Discovery Lab, Department of Computer Science, The University of Georgia, Athens, GA, USA.
Ning YangSchool of Automation, Northwestern Polytechnical University, Xi'an, China.
Jinglei LvSchool of Automation, Northwestern Polytechnical University, Xi'an, China.
Junwei HanSchool of Automation, Northwestern Polytechnical University, Xi'an, China.
Lei GuoSchool of Automation, Northwestern Polytechnical University, Xi'an, China.
Tianming LiuCortical Architecture Imaging and Discovery Lab, Department of Computer Science, The University of Georgia, Athens, GA, USA; BioImaging Research Center, The University of Georgia, Athens, GA, USA.

Funding

Assessing Large-scale Connectivities in Prenatal Cocaine Exposure Affected BrainsR01DA033393 · NIDA · UNIVERSITY OF GEORGIA · PI HU, XIAOPING P, LIU, TIANMING · 2012 to 2016
$1.6M
Assessing Large-scale Brain Connectivities in Mild Cognitive ImpairmentR01AG042599 · NIA · UNIVERSITY OF GEORGIA · PI LIU, TIANMING · 2013 to 2017
$1.4M
Computer Aided Diagnosis and Followup of Alzheimer's DiseaseK01EB006878 · NIBIB · UNIVERSITY OF GEORGIA · PI LIU, TIANMING · 2007 to 2010
$477k
NIA NIH HHS R01 AG042599NIBIB NIH HHS K01 EB006878NIDA NIH HHS R01 DA033393PHS HHS 006878
6 · The paper itself

Abstract

The relationship between brain structure and function has been one of the centers of research in neuroimaging for decades. In recent years, diffusion tensor imaging (DTI) and functional magnetic resonance imaging (fMRI) techniques have been widely available and popular in cognitive and clinical neurosciences for examining the brain's white matter (WM) micro-structures and gray matter (GM) functions, respectively. Given the intrinsic integration of WM/GM and the complementary information embedded in DTI/fMRI data, it is natural and well-justified to combine these two neuroimaging modalities together to investigate brain structure and function and their relationships simultaneously. In the past decade, there have been remarkable achievements of DTI/fMRI fusion methods and applications in neuroimaging and human brain mapping community. This survey paper aims to review recent advancements on methodologies and applications in incorporating multimodal DTI and fMRI data, and offer our perspectives on future research directions. We envision that effective fusion of DTI/fMRI techniques will play increasingly important roles in neuroimaging and brain sciences in the years to come.

Indexed as

Diffusion Tensor ImagingMagnetic Resonance ImagingMultimodal ImagingBrainHumansNeuroimaging

Identifiers

PMID24103849
PMCPMC4012015

What OpenQuestion holds

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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.