Evidence map›Paper›PMID 34000404›Full record

ArticleNeuroImage2021

Identifying brain networks in synaptic density PET (

Xiaotian T Fang, Takuya Toyonaga, Ansel T Hillmer, David Matuskey, Sophie E Holmes, Rajiv Radhakrishnan, Adam P Mecca, Christopher H van Dyck, Deepak Cyril D'Souza, Irina Esterlis and 2 more

Abstract read
In one paragraph

Article in NeuroImage, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
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. Trial
  2. Article
  3. Article
  4. Article
  5. Molecular connectivity studies in neurotransmission: a scoping review.Imaging neuroscience (Cambridge, Mass.) · 2025
    Article
  6. 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
  7. Article
  8. Article
  9. Article
  10. A new framework for metabolic connectivity mapping using bolus [Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2023
    Article
  11. Functional Brain Networks to Evaluate Treatment Responses in Parkinson's Disease.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2023
    Article
  12. PET imaging of animal models with depressive-like phenotypes.European journal of nuclear medicine and molecular imaging · 2023
    Review
  13. Review
  14. Article
  15. Review
  16. Article
  17. 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.

Xiaotian T FangYale PET Center, Department of Radiology and Biomedical Imaging, Yale University, 801 Howard Avenue, New Haven, CT 06520, USA. Electronic address: xiaotian.fang@yale.edu.
Takuya ToyonagaYale PET Center, Department of Radiology and Biomedical Imaging, Yale University, 801 Howard Avenue, New Haven, CT 06520, USA.
Ansel T HillmerYale PET Center, Department of Radiology and Biomedical Imaging, Yale University, 801 Howard Avenue, New Haven, CT 06520, USA; Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA.
David MatuskeyYale PET Center, Department of Radiology and Biomedical Imaging, Yale University, 801 Howard Avenue, New Haven, CT 06520, USA; Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA; Department of Neurology, Yale School of Medicine, New Haven, CT, USA.
Sophie E HolmesDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, USA.
Rajiv RadhakrishnanDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, USA.
Adam P MeccaDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, USA.
Christopher H van DyckDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, USA; Department of Neurology, Yale School of Medicine, New Haven, CT, USA.
Deepak Cyril D'SouzaDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, USA.
Irina EsterlisDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, USA.
Patrick D WorhunskyDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, USA.
Richard E CarsonYale PET Center, Department of Radiology and Biomedical Imaging, Yale University, 801 Howard Avenue, New Haven, CT 06520, USA.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Yale University Clinical and Translational Science Award ProgramUL1TR000142 · NCATS · YALE UNIVERSITY · PI SHERWIN, ROBERT S · 2012 to 2015
$31.8M
Yale Alzheimer Disease Research CenterP30AG066508 · NIA · YALE UNIVERSITY · PI STEPHEN M STRITTMATTER · 2020 to 2026
$30.2M
PET Imaging of Synaptic Density in Alzheimers DiseaseR01AG052560 · NIA · YALE UNIVERSITY · PI CARSON, RICHARD E., VAN DYCK, CHRISTOPHER H · 2017 to 2020
$3.2M
SV2A PET Imaging in Healthy Subjects and Epilepsy PatientsR01NS094253 · NINDS · YALE UNIVERSITY · PI CARSON, RICHARD E. · 2016 to 2020
$2.8M
Investigation of molecular changes in mGluR5 and SV2A to study synaptic alterations in Alzheimer's disease using PET.K23AG057794 · NIA · YALE UNIVERSITY · PI MECCA, ADAM PETER · 2018 to 2022
$977k
Investigation of neurofunctional reorganization in cocaine addiction using mGluR5 PET and fMRIK01DA042998 · NIDA · YALE UNIVERSITY · PI WORHUNSKY, PATRICK D · 2017 to 2021
$900k
Effects of Cannabis Exposure on Electrophysiological Markers of Brain Function in AdolescentsR21DA043831 · NIDA · YALE UNIVERSITY · PI D'SOUZA, DEEPAK CYRIL · 2017 to 2018
$396k
NCATS NIH HHS UL1 TR000142NCATS NIH HHS UL1 TR001863NIA NIH HHS K23 AG057794NIA NIH HHS P30 AG066508NIA NIH HHS R01 AG052560NIDA NIH HHS K01 DA042998NIDA NIH HHS R21 DA043831NINDS NIH HHS R01 NS094253
6 · The paper itself

Abstract

backgroundThe human brain is inherently organized into distinct networks, as reported widely by resting-state functional magnetic resonance imaging (rs-fMRI), which are based on blood-oxygen-level-dependent (BOLD) signal fluctuations.

methodsThe aim of this study was to identify maximally independent brain source networks, i.e., "spatial patterns with common covariance across subjects", in

resultsThirteen source networks replicated across both samples. We determined that a model order of 18 components provided stable, replicable components, whereas estimations above 18 were not stable. Effects of sex were found in two ICs. Nine ICs showed age-related change, with 4 remaining significant after correction for multiple comparison.

conclusionThis study provides the first evidence that human brain synaptic density can be characterized into organized covariance patterns. Furthermore, we demonstrated that multiple synaptic density source networks are associated with age, which supports the potential utility of ICA to identify biologically relevant synaptic density source networks.

Indexed as

AdultAgedAged, 80 and overAge FactorsBrainFemaleHumansMaleMembrane GlycoproteinsMiddle AgedNerve NetNerve Tissue ProteinsPositron-Emission TomographyPyridinesPyrrolidinonesRadiopharmaceuticals1-((3-(methylpyridin-4-yl)methyl)-4-(3,4,5-trifluorophenyl)pyrrolidin-2-oneMembrane GlycoproteinsNerve Tissue ProteinsPyridinesPyrrolidinonesRadiopharmaceuticalsSV2A protein, humanAgingICANeuroimagingPositron emission tomographySV2ASynapse

Identifiers

PMID34000404
PMCPMC8452380

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.