Evidence map›Paper›PMID 30981858›Full record

ArticleNeuroImage2019

Functional resting-state brain connectivity is accompanied by dynamic correlations of application-dependent [

Mario Amend, Tudor M Ionescu, Xin Di, Bernd J Pichler, Bharat B Biswal, Hans F Wehrl

Open access · greenAbstract read
In one paragraph

Article in NeuroImage, 2019. 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
2.4field-weighted citation impact, top 12% 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, 42 citations in OpenAlex.

  1. Pooled it
  2. Human cerebral cortex organization characterized by functional PET-FDG "Metabolic Connectivity".European journal of nuclear medicine and molecular imaging · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. The brain's "dark energy" puzzle: How strongly is glucose metabolism linked to resting-state brain activity?Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024
    Article
  10. Review
  11. 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
  12. PET imaging of animal models with depressive-like phenotypes.European journal of nuclear medicine and molecular imaging · 2023
    Review
  13. Article
  14. Combining CRISPR-Cas9 and brain imaging to study the link from genes to molecules to networks.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  15. Article
  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

6 authors at 2 institutions in 2 countries.

Mario AmendWerner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, Eberhard Karls University Tuebingen, Germany. Electronic address: mario.amend@med.uni-tuebingen.de.
Tudor M IonescuWerner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, Eberhard Karls University Tuebingen, Germany.
Xin DiDepartment of Biomedical Engineering, New Jersey Institute of Technology, University Heights, Newark, NJ, USA.
Bernd J PichlerWerner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, Eberhard Karls University Tuebingen, Germany.
Bharat B BiswalDepartment of Biomedical Engineering, New Jersey Institute of Technology, University Heights, Newark, NJ, USA.
Hans F WehrlWerner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, Eberhard Karls University Tuebingen, Germany.
Siemens (Germany) · DENew Jersey Institute of Technology · US

Funding

CRCNS: Neurophysiological Basis of Brain ConnectivityR01DA038895 · NIDA · NEW JERSEY INSTITUTE OF TECHNOLOGY · PI BISWAL, BHARAT BHUSAN · 2014 to 2016
$381k
NIDA NIH HHS R01 DA038895
6 · The paper itself

Abstract

Brain function is characterized by a convolution of various biochemical and physiological processes, raising the interest whether resting-state functional connectivity derived from hemodynamic scales shows underlying metabolic synchronies. Increasing evidence suggests that metabolic connectivity based on glucose consumption associated PET recordings may serve as a marker of cognitive functions and neuropathologies. However, to what extent fMRI-derived resting-state brain connectivity can also be characterized based on dynamic fluctuations of glucose metabolism and how metabolic connectivity is influenced by [

Indexed as

Magnetic Resonance ImagingPositron-Emission TomographyAnimalsBrainBrain MappingFluorodeoxyglucose F18GlucoseMaleMultimodal ImagingNeural PathwaysRats, Inbred LewFluorodeoxyglucose F18GlucoseConnectomicsfPETResting-state brain networksSimultaneous PET/fMRI

Identifiers

PMID30981858
PMCPMC10673660
OpenAlexW2936775109

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.