Evidence map›Paper›PMID 38676301›Full record

ArticleJournal of neuroimaging : official journal of the American Society of Neuroimaging

Relationship between neuroimaging and cognition in frontotemporal dementia: An FDG-PET and structural MRI study.

Salih Cayir, Tommaso Volpi, Takuya Toyonaga, Jean-Dominique Gallezot, Yanghong Yang, Faranak Ebrahimian Sadabad, Tim Mulnix, Adam P Mecca, Arman Fesharaki-Zadeh, David Matuskey

Open access · bronzeAbstract read
In one paragraph

Article in Journal of neuroimaging : official journal of the American Society of Neuroimaging. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Synaptic density imaging in behavioral variant frontotemporal dementia: A comparison ofAlzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  3. Article
  4. Review
  5. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Salih CayirDepartment of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0002-4071-5188
Tommaso VolpiDepartment of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Connecticut, USA.
Takuya ToyonagaDepartment of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Connecticut, USA.
Jean-Dominique GallezotDepartment of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Connecticut, USA.
Yanghong YangDepartment of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Connecticut, USA.
Faranak Ebrahimian SadabadDepartment of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Connecticut, USA.
Tim MulnixDepartment of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Connecticut, USA.
Adam P MeccaDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA.
Arman Fesharaki-ZadehDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA.
David MatuskeyDepartment of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Connecticut, USA.
Yale University · US

Funding

Yale Alzheimer Disease Research CenterP30AG066508 · NIA · YALE UNIVERSITY · PI STEPHEN M STRITTMATTER · 2020 to 2026
$30.2M
NIA NIH HHS P30 AG066508NIH HHS P30AG066508Yale Alzheimer's Disease Research Center
6 · The paper itself

Abstract

background and purposeFrontotemporal dementia (FTD) is a clinically and pathologically heterogeneous neurodegenerative condition with a prevalence comparable to Alzheimer's disease for patients under 65 years of age. Limited studies have examined the association between cognition and neuroimaging in FTD using different imaging modalities.

methodsWe examined the association of cognition using Montreal Cognitive Assessment (MoCA) with both gray matter (GM) volume and glucose metabolism using magnetic resonance imaging and fluorodeoxyglucose (FDG)-PET in 21 patients diagnosed with FTD. Standardized uptake value ratio (SUVR) using the brainstem as a reference region was the primary outcome measure for FDG-PET. Partial volume correction was applied to PET data to account for disease-related atrophy.

resultsSignificant positive associations were found between whole-cortex GM volume and MoCA scores (r = 0.46, p = .04). The association between whole-cortex FDG SUVR and MoCA scores was not significant (r = 0.37, p = .09). GM volumes of the frontal cortex (r = 0.54, p = .01), caudate (r = 0.62, p<.01), and insula (r = 0.57, p<.01) were also significantly correlated with MoCA, as were SUVR values of the insula (r = 0.51, p = .02), thalamus (r = 0.48, p = .03), and posterior cingulate cortex (PCC) (r = 0.47, p = .03).

conclusionsWhole-cortex atrophy is associated with cognitive dysfunction, and this association is larger than for whole-cortex hypometabolism as measured with FDG-PET. At the regional level, focal atrophy and/or hypometabolism in the frontal cortex, insula, PCC, thalamus, and caudate seem to be important for the decline of cognitive function in FTD. Furthermore, these results highlight how functional and structural changes may not overlap and might contribute to cognitive dysfunction in FTD in different ways.

Indexed as

Fluorodeoxyglucose F18Frontotemporal DementiaMagnetic Resonance ImagingPositron-Emission TomographyAgedBrainCognitionFemaleGray MatterHumansMaleMiddle AgedNeuroimagingRadiopharmaceuticalsFluorodeoxyglucose F18RadiopharmaceuticalscognitionFDG‐PETfrontotemporal dementiaMontreal Cognitive AssessmentMRI

Identifiers

PMID38676301
PMCPMC11511789
OpenAlexW4395699553

What OpenQuestion holds

Textmetadata
LicenceTDM
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.