Evidence map›Paper›PMID 35180579›Full record

ArticleNeuroImage. Clinical2022

FLAIR MRI biomarkers of the normal appearing brain matter are related to cognition.

M-A Bahsoun, M U Khan, S Mitha, A Ghazvanchahi, H Khosravani, P Jabehdar Maralani, J-C Tardif, A R Moody, P N Tyrrell, A Khademi

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

15 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Developmental Curves of the Paediatric Brain Using FLAIR MRI Texture Biomarkers.Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes · 2025
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  4. Review
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  8. Brain Age Estimation on a Dementia Cohort Using FLAIR MRI Biomarkers.AJNR. American journal of neuroradiology · 2023
    Article
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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 at 4 institutions in 1 country.

M-A BahsounElectrical, Computer and Biomedical Engineering Dept., Ryerson University, Toronto, ON, Canada.
M U KhanElectrical, Computer and Biomedical Engineering Dept., Ryerson University, Toronto, ON, Canada.
S MithaElectrical, Computer and Biomedical Engineering Dept., Ryerson University, Toronto, ON, Canada.
A GhazvanchahiElectrical, Computer and Biomedical Engineering Dept., Ryerson University, Toronto, ON, Canada.
H KhosravaniHurvitz Brain Sciences Program Division of Neurology, Department of Medicine, University of Toronto, Toronto, ON, Canada.
P Jabehdar MaralaniDepartment of Medical Imaging, University of Toronto, Toronto, ON, Canada.
J-C TardifMontreal Heart Institute, Montreal, QU, Canada; Department of Medicine, Université de Montréal, QU, Canada.
A R MoodyDepartment of Medical Imaging, University of Toronto, Toronto, ON, Canada.
P N TyrrellDepartment of Medical Imaging, University of Toronto, Toronto, ON, Canada; Department of Statistical Sciences, University of Toronto, Toronto, ON, Canada; Institute of Medical Science, University of Toronto, Toronto, ON, Canada.
A KhademiElectrical, Computer and Biomedical Engineering Dept., Ryerson University, Toronto, ON, Canada; Keenan Research Center for Biomedical Science, St. Michael's Hospital, Unity Health Network, Toronto, ON, Canada; Institute for Biomedical Engineering, Science and Technology (iBEST), a partnership between St. Michael's Hospital and Ryerson University, Toronto, ON, Canada.
Toronto Metropolitan University · CAUniversity of Toronto · CASt. Michael's Hospital · CAUniversité de Montréal · CA

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
CIHR CRI 88057NIA NIH HHS U01 AG024904
6 · The paper itself

Abstract

A novel biomarker panel was proposed to quantify macro and microstructural biomarkers from the normal-appearing brain matter (NABM) in multicentre fluid-attenuation inversion recovery (FLAIR) MRI. The NABM is composed of the white and gray matter regions of the brain, with the lesions and cerebrospinal fluid removed. The primary hypothesis was that NABM biomarkers from FLAIR MRI are related to cognitive outcome as determined by MoCA score. There were three groups of features designed for this task based on 1) texture: microstructural integrity (MII), macrostructural damage (MAD), microstructural damage (MID), 2) intensity: median, skewness, kurtosis and 3) volume: NABM to ICV volume ratio. Biomarkers were extracted from over 1400 imaging volumes from more than 87 centres and unadjusted ANOVA analysis revealed significant differences in means of the MII, MAD, and NABM volume biomarkers across all cognitive groups. In an adjusted ANCOVA model, a significant relationship between MoCA categories was found that was dependent on subject age for MII, MAD, intensity, kurtosis and NABM volume biomarkers. These results demonstrate that structural brain changes in the NABM are related to cognitive outcome (with different relationships depending on the age of the subjects). Therefore these biomarkers have high potential for clinical translation. As a secondary hypothesis, we investigated whether texture features from FLAIR MRI can quantify microstructural changes related to how "structured" or "damaged" the tissue is. Based on correlation analysis with diffusion weighted MRI (dMRI), it was shown that FLAIR MRI texture biomarkers (MII and MAD) had strong correlations to mean diffusivity (MD) which is related to tissue degeneration in the GM and WM regions. As FLAIR MRI is routinely collected for clinical neurological examinations, novel biomarkers from FLAIR MRI could be used to supplement current clinical biomarkers and for monitoring disease progression. Biomarkers could also be used to stratify patients into homogeneous disease subgroups for clinical trials, or to learn more about mechanistic development of dementia disease.

Indexed as

Magnetic Resonance ImagingWhite MatterBiomarkersBrainCognitionGray MatterHumansBiomarkersAlzheimer’s diseaseBiomarkersFLAIRNeurodegenerationNormal-appearing brain matter (NABM)Texture analysis

Identifiers

PMID35180579
PMCPMC8857609
OpenAlexW4210845950

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.