Evidence map›Paper›PMID 29414497›Full record

ArticleNeuroImage2018

Evaluation of standardized and study-specific diffusion tensor imaging templates of the adult human brain: Template characteristics, spatial normalization accuracy, and detection of small inter-group FA differences.

Shengwei Zhang, Konstantinos Arfanakis

Abstract readComparative Study
In one paragraph

Article in NeuroImage, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing 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

58 citing papers in PubMed.

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  13. In vivo effect of LATE-NC on integrity of white matter connections to the hippocampus.Alzheimer's & dementia : the journal of the Alzheimer's Association · 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

2 authors.

Shengwei ZhangDepartment of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA.
Konstantinos ArfanakisDepartment of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA; Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Department of Diagnostic Radiology and Nuclear Medicine, Rush University Medical Center, Chicago, IL, USA. Electronic address: arfanakis@iit.edu.

Funding

SUPPLEMENT TO RUSH ALZHEIMERS DISEASE CENTER COREP30AG010161 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 1991 to 2020
$49.1M
Comprehensive Longitudinal Probabilistic Atlas of the Brain of Older Adults Without DementiaR01AG052200 · NIA · ILLINOIS INSTITUTE OF TECHNOLOGY · PI ARFANAKIS, KONSTANTINOS · 2016 to 2020
$2.5M
Development of a Brain Template for Diffusion-Tensor MRIR21EB006525 · NIBIB · ILLINOIS INSTITUTE OF TECHNOLOGY · PI ARFANAKIS, KONSTANTINOS · 2008 to 2009
$394k
Probabilistic White and Gray Matter Atlas of the Adult Human BrainR21NS076827 · NINDS · ILLINOIS INSTITUTE OF TECHNOLOGY · PI ARFANAKIS, KONSTANTINOS · 2012 to 2013
$388k
NIA NIH HHS P30 AG010161NIA NIH HHS R01 AG052200NIBIB NIH HHS R21 EB006525NINDS NIH HHS R21 NS076827
6 · The paper itself

Abstract

Digital diffusion tensor imaging (DTI) templates of the adult human brain are commonly used in neuroimaging research, and their characteristics influence the accuracy of the application. However, a systematic evaluation of the characteristics and performance of standardized and study-specific DTI templates has not been conducted. The purpose of this work was to compare eight available standardized DTI templates to each other (ICBM81, ENIGMA, FMRIB58, SRI24, IIT2, NTU-DSI-122-DTI, IIT v.3.0, Eve), as well as to study-specific templates, in terms of template characteristics (image sharpness, ability to identify small brain structures, artifacts, mean values, noise properties) and performance in spatial normalization and detection of small inter-group FA differences. The IIT v.3.0 template was shown to combine a number of desirable characteristics: includes full-tensor information, is population-based, has high image sharpness, shows no visible artifacts, has low noise levels, has diffusion tensor properties and spatial features representative of data from the average individual adult brain. Furthermore, the IIT v.3.0 template was shown to allow higher inter-subject DTI spatial normalization accuracy, and detection of smaller inter-group FA differences, compared to all other templates, including study-specific templates. These findings were consistent when evaluating the templates in younger as well as older adult cohorts.

Indexed as

AdolescentAdultAgedAged, 80 and overAnisotropyBrainBrain MappingDatasets as TopicDiffusion Tensor ImagingFemaleHumansImage Processing, Computer-AssistedMaleMiddle AgedYoung AdultAtlasComparisonDiffusionDTIMRITemplate

Identifiers

PMID29414497
PMCPMC5910210

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Registered trials

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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.