Evidence map›Paper›PMID 33449398›Full record

ArticleHuman brain mapping2021

Development and evaluation of a high performance T1-weighted brain template for use in studies on older adults.

Abdur Raquib Ridwan, Mohammad Rakeen Niaz, Yingjuan Wu, Xiaoxiao Qi, Shengwei Zhang, Marinos Kontzialis, Carles Javierre-Petit, Mahir Tazwar, Alzheimer's Disease Neuroimaging Initiative, David A Bennett and 2 more

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.3field-weighted citation impact, top 13% of its field
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

16 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Radiomics-based differentiation between glioblastoma and primary central nervous system lymphoma: CT vs MRI.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026
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  11. Spatial normalization and quantification approaches of PET imaging for neurological disorders.European journal of nuclear medicine and molecular imaging · 2022
    Review
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  15. Article
  16. Surface-Guided Image Fusion for Preserving Cortical Details in Human Brain Templates.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
    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 at 2 institutions in 1 country.

Abdur Raquib RidwanDepartment of Biomedical Engineering, Illinois Institute of Technology, Chicago, Illinois, USA.
Mohammad Rakeen NiazDepartment of Biomedical Engineering, Illinois Institute of Technology, Chicago, Illinois, USA.
Yingjuan WuDepartment of Biomedical Engineering, Illinois Institute of Technology, Chicago, Illinois, USA.
Xiaoxiao QiDepartment of Biomedical Engineering, Illinois Institute of Technology, Chicago, Illinois, USA.
Shengwei ZhangRush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA.
Marinos KontzialisDepartment of Diagnostic Radiology and Nuclear Medicine, Rush University Medical Center, Chicago, Illinois, USA.
Carles Javierre-PetitDepartment of Biomedical Engineering, Illinois Institute of Technology, Chicago, Illinois, USA.
Mahir TazwarDepartment of Biomedical Engineering, Illinois Institute of Technology, Chicago, Illinois, USA.
Alzheimer's Disease Neuroimaging Initiative
David A BennettRush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA.
Yongyi YangDepartment of Biomedical Engineering, Illinois Institute of Technology, Chicago, Illinois, USA.
Konstantinos ArfanakisDepartment of Biomedical Engineering, Illinois Institute of Technology, Chicago, Illinois, USA.ORCID 0000-0001-9705-597X
Illinois Institute of Technology · USRush University Medical Center · US

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
SUPPLEMENT TO RUSH ALZHEIMERS DISEASE CENTER COREP30AG010161 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI LEURGANS, SUE E. · 1991 to 2020
$49.1M
EPIDEMIOLOGY OF NEURAL RESERVE AND NEUROBIOLOGY IN AGINGR01AG017917 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 2001 to 2023
$43.3M
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
CIHRNIA NIH HHS P30 AG010161NIA NIH HHS R01 AG017917NIA NIH HHS R01 AG052200NIA NIH HHS U01 AG024904
6 · The paper itself

Abstract

Τhe accuracy of template-based neuroimaging investigations depends on the template's image quality and representativeness of the individuals under study. Yet a thorough, quantitative investigation of how available standardized and study-specific T1-weighted templates perform in studies on older adults has not been conducted. The purpose of this work was to construct a high-quality standardized T1-weighted template specifically designed for the older adult brain, and systematically compare the new template to several other standardized and study-specific templates in terms of image quality, performance in spatial normalization of older adult data and detection of small inter-group morphometric differences, and representativeness of the older adult brain. The new template was constructed with state-of-the-art spatial normalization of high-quality data from 222 older adults. It was shown that the new template (a) exhibited high image sharpness, (b) provided higher inter-subject spatial normalization accuracy and (c) allowed detection of smaller inter-group morphometric differences compared to other standardized templates, (d) had similar performance to that of study-specific templates constructed with the same methodology, and (e) was highly representative of the older adult brain.

Indexed as

AgingAgedAged, 80 and overBrainFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleNeuroimagingagingatlasbrainmagnetic resonance imagingspatial normalizationtemplate

Identifiers

PMID33449398
PMCPMC7978143
OpenAlexW3125643936

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.