Evidence map›Paper›PMID 24835185›Full record

ArticleMedical image analysis2014

Characterization of U-shape streamline fibers: Methods and applications.

Tuo Zhang, Hanbo Chen, Lei Guo, Kaiming Li, Longchuan Li, Shu Zhang, Dinggang Shen, Xiaoping Hu, Tianming Liu

Abstract read
In one paragraph

Article in Medical image analysis, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. Sulcal anatomy of ventral temporal cortex and reading development.bioRxiv : the preprint server for biology · 2026
    Article
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  3. Not All Spikes Are Equal.Journal of clinical medicine · 2025
    Review
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  8. Gyral peaks and patterns in human brains.Cerebral cortex (New York, N.Y. : 1991) · 2023
    Article
  9. Article
  10. Indirect structural disconnection-symptom mapping.Brain structure & function · 2022
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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

9 authors.

Tuo ZhangSchool of Automation, Northwestern Polytechnical University, Xi'an, Shaanxi, China; Department of Computer Science and Bioimaging Research Center, The University of Georgia, Athens, GA, United States.
Hanbo ChenDepartment of Computer Science and Bioimaging Research Center, The University of Georgia, Athens, GA, United States.
Lei GuoSchool of Automation, Northwestern Polytechnical University, Xi'an, Shaanxi, China.
Kaiming LiBiomedical Imaging Technology Center, Emory University, Atlanta, GA, United States.
Longchuan LiBiomedical Imaging Technology Center, Emory University, Atlanta, GA, United States.
Shu ZhangDepartment of Computer Science and Bioimaging Research Center, The University of Georgia, Athens, GA, United States.
Dinggang ShenDepartment of Radiology and Biomedical Research Imaging Center, UNC, Chapel Hill, NC, United States.
Xiaoping HuBiomedical Imaging Technology Center, Emory University, Atlanta, GA, United States.
Tianming LiuDepartment of Computer Science and Bioimaging Research Center, The University of Georgia, Athens, GA, United States. Electronic address: tliu@cs.uga.edu.

Funding

SOCIAL COGNITION AND EMOTIONAL AGING IN PRIMATESP01AG026423 · NIA · EMORY UNIVERSITY · PI PREUSS, TODD M · 2007 to 2011
$11.6M
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
Fast, Robust Analysis of Large Population DataR01EB009634 · NIBIB · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SHEN, DINGGANG · 2011 to 2014
$1.3M
Computer Aided Diagnosis and Followup of Alzheimer's DiseaseK01EB006878 · NIBIB · UNIVERSITY OF GEORGIA · PI LIU, TIANMING · 2007 to 2010
$477k
NIA NIH HHS P01 AG026423NIA NIH HHS R01 AG042599NIBIB NIH HHS EB 006878NIBIB NIH HHS K01 EB006878NIBIB NIH HHS R01 EB009634NIDA NIH HHS R01 DA033393
6 · The paper itself

Abstract

Diffusion tensor imaging (DTI), high angular resolution diffusion imaging (HARDI), and diffusion spectrum imaging (DSI) have been widely used in the neuroimaging field to examine the macro-scale fiber connection patterns in the cerebral cortex. However, the topographic and geometric relationships between diffusion imaging derived streamline fiber connection patterns and cortical folding patterns remain largely unknown. This paper specifically identifies and characterizes the U-shapes of diffusion imaging derived streamline fibers via a novel fiber clustering framework and examines their co-localization patterns with cortical sulci based on DTI, HARDI, and DSI datasets of human, chimpanzee and macaque brains. We verified the presence of these U-shaped streamline fibers that connect neighboring gyri by coursing around cortical sulci such as the central sulcus, pre-central sulcus, post-central sulcus, superior temporal sulcus, inferior frontal sulcus, and intra-parietal sulcus. This study also verified the existence of U-shape fibers across data modalities (DTI/HARDI/DSI) and primate species (macaque, chimpanzee and human), and suggests that the common pattern of U-shape fibers coursing around sulci is evolutionarily-preserved in cortical architectures.

Indexed as

AlgorithmsAnimalsBrainDiffusion Tensor ImagingHumansImage EnhancementImage Interpretation, Computer-AssistedImaging, Three-DimensionalMacacaNerve Fibers, MyelinatedPan troglodytesPattern Recognition, AutomatedReproducibility of ResultsSensitivity and SpecificityDSIDTIFiber shapesHARDIShape analysis

Identifiers

PMID24835185
PMCPMC4122429

What OpenQuestion holds

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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.