Evidence map›Paper›PMID 35624987›Full record

ArticleBrain sciences2022

Delusional Severity Is Associated with Abnormal Texture in FLAIR MRI.

Marc A Khoury, Mohamad-Ali Bahsoun, Ayad Fadhel, Shukrullah Shunbuli, Saanika Venkatesh, Abdollah Ghazvanchahi, Samir Mitha, Karissa Chan, Luis R Fornazzari, Nathan W Churchill and 6 more

Open access · goldAbstract read
In one paragraph

Article in Brain sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Regional White Matter Lesion Load in Elderly Patients With Somatic vs. Non-Somatic Delusional Disorder.Psychogeriatrics : the official journal of the Japanese Psychogeriatric Society · 2025
    Article
  2. 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

16 authors at 3 institutions in 1 country.

Marc A KhouryKeenan Research Centre for Biomedical Science, Li Ka Shing Knowledge Institute, Toronto, ON M5V 1T8, Canada.ORCID 0000-0001-5863-6974
Mohamad-Ali BahsounInstitute for Biomedical Engineering, Science & Tech (iBEST), a Partnership between St. Michael's Hospital and Ryerson University, Toronto, ON M5V 1T8, Canada.
Ayad FadhelKeenan Research Centre for Biomedical Science, Li Ka Shing Knowledge Institute, Toronto, ON M5V 1T8, Canada.ORCID 0000-0001-5946-414X
Shukrullah ShunbuliKeenan Research Centre for Biomedical Science, Li Ka Shing Knowledge Institute, Toronto, ON M5V 1T8, Canada.
Saanika VenkateshKeenan Research Centre for Biomedical Science, Li Ka Shing Knowledge Institute, Toronto, ON M5V 1T8, Canada.
Abdollah GhazvanchahiInstitute for Biomedical Engineering, Science & Tech (iBEST), a Partnership between St. Michael's Hospital and Ryerson University, Toronto, ON M5V 1T8, Canada.
Samir MithaInstitute for Biomedical Engineering, Science & Tech (iBEST), a Partnership between St. Michael's Hospital and Ryerson University, Toronto, ON M5V 1T8, Canada.ORCID 0000-0003-0320-9590
Karissa ChanInstitute for Biomedical Engineering, Science & Tech (iBEST), a Partnership between St. Michael's Hospital and Ryerson University, Toronto, ON M5V 1T8, Canada.
Luis R FornazzariKeenan Research Centre for Biomedical Science, Li Ka Shing Knowledge Institute, Toronto, ON M5V 1T8, Canada.
Nathan W ChurchillKeenan Research Centre for Biomedical Science, Li Ka Shing Knowledge Institute, Toronto, ON M5V 1T8, Canada.
Zahinoor IsmailDepartments of Psychiatry, Clinical Neurosciences, and Community Health Sciences, Hotchkiss Brain Institute, University of Calgary, Calgary, AB T2N 4N1, Canada.ORCID 0000-0002-5529-3731
David G MunozKeenan Research Centre for Biomedical Science, Li Ka Shing Knowledge Institute, Toronto, ON M5V 1T8, Canada.
Tom A SchweizerKeenan Research Centre for Biomedical Science, Li Ka Shing Knowledge Institute, Toronto, ON M5V 1T8, Canada.
Alan R MoodyDepartment of Medical Imaging, University of Toronto, Toronto, ON M5T 1W7, Canada.
Corinne E FischerKeenan Research Centre for Biomedical Science, Li Ka Shing Knowledge Institute, Toronto, ON M5V 1T8, Canada.ORCID 0000-0002-1047-0167
April KhademiKeenan Research Centre for Biomedical Science, Li Ka Shing Knowledge Institute, Toronto, ON M5V 1T8, Canada.ORCID 0000-0002-4932-0385
St. Michael's Hospital · CAUniversity of Calgary · CAUniversity of Toronto · CA

Funding

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

Abstract

Background: This study examines the relationship between delusional severity in cognitively impaired adults with automatically computed volume and texture biomarkers from the Normal Appearing Brain Matter (NABM) in FLAIR MRI. Methods: Patients with mild cognitive impairment (MCI, n = 24) and Alzheimer’s Disease (AD, n = 18) with delusions of varying severities based on Neuropsychiatric Inventory-Questionnaire (NPI-Q) (1—mild, 2—moderate, 3—severe) from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) were analyzed for this task. The NABM region, which is gray matter (GM) and white matter (WM) combined, was automatically segmented in FLAIR MRI volumes with intensity standardization and thresholding. Three imaging biomarkers were computed from this region, including NABM volume and two texture markers called “Integrity” and “Damage”. Together, these imaging biomarkers quantify structural changes in brain volume, microstructural integrity and tissue damage. Multivariable regression was used to investigate relationships between imaging biomarkers and delusional severities (1, 2 and 3). Sex, age, education, APOE4 and baseline cerebrospinal fluid (CSF) tau were included as co-variates. Results: Biomarkers were extracted from a total of 42 participants with longitudinal time points representing 164 imaging volumes. Significant associations were found for all three NABM biomarkers between delusion level 3 and level 1. Integrity was also sensitive enough to show differences between delusion level 1 and delusion level 2. A significant specified interaction was noted with severe delusions (level 3) and CSF tau for all imaging biomarkers (p < 0.01). APOE4 homozygotes were also significantly related to the biomarkers. Conclusion: Cognitively impaired older adults with more severe delusions have greater global brain disease burden in the WM and GM combined (NABM) as measured using FLAIR MRI. Relative to patients with mild delusions, tissue degeneration in the NABM was more pronounced in subjects with higher delusional symptoms, with a significant association with CSF tau. Future studies are required to establish potential tau-associated mechanisms of increased delusional severity.

Indexed as

Alzheimer’s diseaseAPOE4biomarkerscognitive declineCSF taudelusionsdementiawhite-matter texture

Identifiers

PMID35624987
PMCPMC9139341
OpenAlexW4280523162

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.