Evidence map›Paper›PMID 27064328›Full record

ArticleProceedings of SPIE--the International Society for Optical Engineering2016

A 3D high resolution

Yurui Gao, Prasanna Parvathaneni, Kurt G Schilling, Feng Wang, Iwona Stepniewska, Zhoubing Xu, Ann S Choe, Zhaohua Ding, John C Gore, Li Min Chen and 2 more

Abstract read
In one paragraph

Article in Proceedings of SPIE--the International Society for Optical Engineering, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Translational In Vivo Assays in Behavioral Biology.Annual review of pharmacology and toxicology · 2024
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

12 authors.

Yurui GaoBiomedical Engineering, Vanderbilt University, Nashville, TN USA; Institute of Imaging Science, Vanderbilt University, Nashville, TN USA.
Prasanna ParvathaneniElectrical Engineering and Computer Science, Vanderbilt University, Nashville, TN USA.
Kurt G SchillingBiomedical Engineering, Vanderbilt University, Nashville, TN USA; Institute of Imaging Science, Vanderbilt University, Nashville, TN USA.
Feng WangInstitute of Imaging Science, Vanderbilt University, Nashville, TN USA; Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN USA.
Iwona StepniewskaPsychology, Vanderbilt University, Nashville, TN USA.
Zhoubing XuElectrical Engineering and Computer Science, Vanderbilt University, Nashville, TN USA.
Ann S ChoeBiomedical Engineering, Vanderbilt University, Nashville, TN USA; Institute of Imaging Science, Vanderbilt University, Nashville, TN USA.
Zhaohua DingBiomedical Engineering, Vanderbilt University, Nashville, TN USA; Institute of Imaging Science, Vanderbilt University, Nashville, TN USA; Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN USA; Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN USA.
John C GoreBiomedical Engineering, Vanderbilt University, Nashville, TN USA; Institute of Imaging Science, Vanderbilt University, Nashville, TN USA; Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN USA; Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN USA.
Li Min ChenInstitute of Imaging Science, Vanderbilt University, Nashville, TN USA; Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN USA.
Bennett A LandmanBiomedical Engineering, Vanderbilt University, Nashville, TN USA; Institute of Imaging Science, Vanderbilt University, Nashville, TN USA; Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN USA; Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN USA.
Adam W AndersonBiomedical Engineering, Vanderbilt University, Nashville, TN USA; Institute of Imaging Science, Vanderbilt University, Nashville, TN USA; Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN USA.

Funding

VANDERBILT UNIVERSITY CTSA FOR PEDIATRIC RESEARCHUL1RR024975 · NCRR · VANDERBILT UNIVERSITY · PI BERNARD, GORDON RAPHAEL · 2007 to 2011
$45.7M
The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
Biophysical Basis of Functional Connectivity by MRIR01NS078680 · NINDS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Li Min Chen, John C Gore · 2012 to 2026
$7.6M
Research Project: Sensory and Multisensory Contributions to AutismU54HD083211 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI DYKENS, ELISABETH MAY · 2015 to 2019
$7.1M
The Biological Basis of Diffusion MRI of the BrainR01NS058639 · NINDS · VANDERBILT UNIVERSITY · PI ANDERSON, ADAM W · 2008 to 2016
$3.7M
Representation of Nociception in SII and Thalamus of PrimatesR01NS069909 · NINDS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI CHEN, LI MIN · 2012 to 2016
$1.7M
NCATS NIH HHS UL1 TR000445NCRR NIH HHS UL1 RR024975NICHD NIH HHS U54 HD083211NINDS NIH HHS R01 NS058639NINDS NIH HHS R01 NS069909NINDS NIH HHS R01 NS078680
6 · The paper itself

Abstract

Modern magnetic resonance imaging (MRI) brain atlases are high quality 3-D volumes with specific structures labeled in the volume. Atlases are essential in providing a common space for interpretation of results across studies, for anatomical education, and providing quantitative image-based navigation. Extensive work has been devoted to atlas construction for humans, macaque, and several non-primate species (e.g., rat). One notable gap in the literature is the common squirrel monkey - for which the primary published atlases date from the 1960's. The common squirrel monkey has been used extensively as surrogate for humans in biomedical studies, given its anatomical neuro-system similarities and practical considerations. This work describes the continued development of a multi-modal MRI atlas for the common squirrel monkey, for which a structural imaging space and gray matter parcels have been previously constructed. This study adds white matter tracts to the atlas. The new atlas includes 49 white matter (WM) tracts, defined using diffusion tensor imaging (DTI) in three animals and combines these data to define the anatomical locations of these tracks in a standardized coordinate system compatible with previous development. An anatomist reviewed the resulting tracts and the inter-animal reproducibility (i.e., the Dice index of each WM parcel across animals in common space) was assessed. The Dice indices range from 0.05 to 0.80 due to differences of local registration quality and the variation of WM tract position across individuals. However, the combined WM labels from the 3 animals represent the general locations of WM parcels, adding basic connectivity information to the atlas.

Indexed as

brain atlasdiffusion tensor imagingmagnetic resonance imagingneuroanatomysquirrel monkeytractographywhite matter atlas

Identifiers

PMID27064328
PMCPMC4825691

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.