Evidence map›Paper›PMID 37955791›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2024

The regional pattern of age-related synaptic loss in the human brain differs from gray matter volume loss: in vivo PET measurement with [

Takuya Toyonaga, Nikkita Khattar, Yanjun Wu, Yihuan Lu, Mika Naganawa, Jean-Dominique Gallezot, David Matuskey, Adam P Mecca, Brian Pittman, Mark Dias and 11 more

Open access · greenAbstract read
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
6.0field-weighted citation impact, top 3% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Assessment of noninvasive quantification of [European journal of nuclear medicine and molecular imaging · 2026
    Article
  4. Whole brain grey matter synaptic terminal density, age and intellectual functioning in schizophrenia: an in vivo [Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Article
  5. Article
  6. ODC1 restricts meningeal B cell age-associated-like phenotype and function in multiple sclerosis: A human and experimental study.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  7. SV2A PET reveals synaptic density loss in experimental autoimmune encephalomyelitis and in a pilot multiple sclerosis study.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  8. Review
  9. Consciousness, subjectivity, and aging in western thought.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Review
  10. Article
  11. Article
  12. Assessing non-invasive quantitative methods for [European journal of nuclear medicine and molecular imaging · 2025
    Article
  13. Article
  14. Imaging Synaptic Density in Aging and Alzheimer Disease with [Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2025
    Article
  15. Article
  16. An In Vivo High-Resolution Human Brain Atlas of Synaptic Density.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  17. Relationship between neuroimaging and cognition in frontotemporal dementia: An FDG-PET and structural MRI study.Journal of neuroimaging : official journal of the American Society of Neuroimaging
    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

21 authors at 2 institutions in 1 country.

Takuya ToyonagaPET Center, Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, 06520, USA. takuya.toyonaga@yale.edu.ORCID 0000-0002-0369-8294
Nikkita KhattarPET Center, Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, 06520, USA.
Yanjun WuPET Center, Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, 06520, USA.
Yihuan LuPET Center, Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, 06520, USA.
Mika NaganawaPET Center, Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, 06520, USA.
Jean-Dominique GallezotPET Center, Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, 06520, USA.
David MatuskeyPET Center, Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, 06520, USA.
Adam P MeccaDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
Brian PittmanDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
Mark DiasPET Center, Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, 06520, USA.
Nabeel B NabulsiPET Center, Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, 06520, USA.
Sjoerd J FinnemaPET Center, Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, 06520, USA.
Ming-Kai ChenPET Center, Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, 06520, USA.
Amy ArnstenDepartment of Neuroscience, Yale University School of Medicine, New Haven, CT, USA.
Rajiv RadhakrishnanDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
Patrick D SkosnikDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
Deepak Cyril D'SouzaDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
Irina EsterlisPET Center, Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, 06520, USA.
Yiyun HuangPET Center, Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, 06520, USA.
Christopher H van DyckDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
Richard E CarsonPET Center, Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, 06520, USA.
Yale University · USNortheastern University · US

Funding

Yale University Clinical and Translational Science Award ProgramUL1TR000142 · NCATS · YALE UNIVERSITY · PI SHERWIN, ROBERT S · 2012 to 2015
$31.8M
Medical Scientist Training ProgramT32GM136651 · NIGMS · YALE UNIVERSITY · PI BARBARA I KAZMIERCZAK · 2020 to 2026
$16.5M
NCATS NIH HHS UL1 TR000142NIGMS NIH HHS T32 GM136651
6 · The paper itself

Abstract

purposeAging is a major societal concern due to age-related functional losses. Synapses are crucial components of neural circuits, and synaptic density could be a sensitive biomarker to evaluate brain function. [

methodsWe evaluated age-related changes in gray matter synaptic density, volume, and blood flow using [

resultsSignificant age-related decreases were found in 13, two, and nine brain regions for volume, synaptic density, and blood flow, respectively. The prefrontal cortex showed the largest volume decline (4.9% reduction per decade: RPD), while the synaptic density loss was largest in the caudate (3.6% RPD) and medial occipital cortex (3.4% RPD). The reductions in caudate are consistent with previous SV2A PET studies and likely reflect that caudate is the site of nerve terminals for multiple major tracts that undergo substantial age-related neurodegeneration. There was a non-significant negative relationship between volume and synaptic density reductions in 16 gray matter regions.

conclusionMRI and [

Indexed as

Gray MatterMembrane GlycoproteinsAged, 80 and overBrainHumansPositron-Emission TomographySynapsesMembrane GlycoproteinsAgingGray matterMRIPETSV2ASynaptic densityUCB-JVolume loss

Identifiers

PMID37955791
PMCPMC12701775
OpenAlexW4388635376

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.