Evidence map›Paper›PMID 29960027›Full record

ArticleJournal of neuroscience methods2018

Within-subject test-retest reliability of the atlas-based cortical volume measurement in the rat brain: A voxel-based morphometry study.

Bin Jing, Bo Liu, Hui Li, Jianfeng Lei, Zhanjing Wang, Yutao Yang, Phillip Zhe Sun, Bing Xue, Hesheng Liu, Zhi-Qing David Xu

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In one paragraph

Article in Journal of neuroscience methods, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

10 authors.

Bin JingSchool of Biomedical Engineering, Capital Medical University, Beijing, China.
Bo LiuDepartment of Neurobiology, Capital Medical University, Beijing, China.
Hui LiDepartment of Anatomy, Capital Medical University, Beijing, China.
Jianfeng LeiCore Facilities for Medical Imaging, Capital Medical University, Beijing, China.
Zhanjing WangCore Facilities for Medical Imaging, Capital Medical University, Beijing, China.
Yutao YangDepartment of Neurobiology, Capital Medical University, Beijing, China.
Phillip Zhe SunAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA.
Bing XueCore Facilities for Medical Imaging, Capital Medical University, Beijing, China.
Hesheng LiuAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA; Institute for Research and Medical Consultations, Imam Abdulahman Bin Faisal University, Dammam, Saudi Arabia. Electronic address: hesheng@nmr.mgh.harvard.edu.
Zhi-Qing David XuDepartment of Neurobiology, Capital Medical University, Beijing, China. Electronic address: zhiqingx@ccmu.edu.cn.

Funding

The neural network of OCD, linking NHP and human studiesP50MH106435 · NIMH · UNIVERSITY OF ROCHESTER · PI Suzanne N Haber · 2015 to 2026
$28.9M
Translating The Individualized Functional Connectome To Surgical PlanningR01NS091604 · NINDS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI LIU, HESHENG · 2015 to 2019
$2.1M
NIMH NIH HHS P50 MH106435NINDS NIH HHS R01 NS091604
6 · The paper itself

Abstract

backgroundVarious neurological and psychological disorders are related to cortical volume changes in specific brain regions, which can be measured in vivo using structural magnetic resonance imaging (sMRI). There is an increasing interest in MRI studies using rat models, especially in longitudinal studies of brain disorders and pharmacologic interventions. However, morphometric changes observed in sMRI are only meaningful if the measurements are reliable. To date, a systematic evaluation of the test-retest reliability of the morphometric measures in the rat brain is still lacking. NEW

methodWe rigorously evaluated the test-retest reliability of morphometric measures derived from the voxel-based morphometry (VBM) analysis. 37 Sprague-Dawley rats were scanned twice at an interval of six hours and the gray matter volume was estimated using the VBM-DARTEL method. The intraclass coefficient, percent volume change and Pearson correlation coefficient were used to evaluate the reliability in 96 subregions of the rat brain.

resultsMost subregions showed excellent test-retest reliabilities within an interval of 6 h while a few regions demonstrated lower reliability, especially in the retrosplenial granular cortex. The results were consistent between different methods of reliability assessment. COMPARISON WITH EXISTING

methodTo the best of our knowledge, this is the first study to quantify the test-retest reliability of the VBM measurements of the rat brain.

conclusionAtlas-based cortical volume of the rat brain can be reliably estimated using the VBM-DARTEL method in most subregions. However, findings in subregions with lower reliability must be interpreted with caution.

Indexed as

Brain MappingAnimalsCerebral CortexGray MatterImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleRatsRats, Sprague-DawleyReference ValuesReproducibility of ResultsWhite MatterIntraclass coefficientRat brainTest-retest reliabilityVoxel-based morphometry

Identifiers

PMID29960027
PMCPMC6461491

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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.