Evidence map›Paper›PMID 26174326›Full record

ArticleJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism2015

Vascular coupling in resting-state fMRI: evidence from multiple modalities.

David C Zhu, Takashi Tarumi, Muhammad Ayaz Khan, Rong Zhang

Open access · bronzeAbstract read
In one paragraph

Article in Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.3field-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

23 citing papers in PubMed, 46 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Resting-state functional MRI signal fluctuation amplitudes are correlated with brain amyloid-Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2022
    Article
  8. Article
  9. Functional network antagonism and consciousness.Network neuroscience (Cambridge, Mass.) · 2022
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Multivariate classification of schizophrenia and its familial risk based on load-dependent attentional control brain functional connectivity.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2020
    Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

4 authors at 3 institutions in 1 country.

David C ZhuDepartments of Radiology and Psychology, Cognitive Imaging Research Center, Michigan State University, East Lansing, Michigan, USA.
Takashi TarumiInstitute for Exercise and Environmental Medicine, Texas Health Presbyterian Hospital Dallas, Dallas, Texas, USA.
Muhammad Ayaz KhanInstitute for Exercise and Environmental Medicine, Texas Health Presbyterian Hospital Dallas, Dallas, Texas, USA.
Rong ZhangInstitute for Exercise and Environmental Medicine, Texas Health Presbyterian Hospital Dallas, Dallas, Texas, USA.
Institute for Exercise and Environmental Medicine · USMichigan State University · USTexas Health Dallas · US

Funding

Mild Cognitive Impairment: Cerebrovascular Dysfunction and Exercise TrainingR01AG033106 · NIA · UT SOUTHWESTERN MEDICAL CENTER · PI LU, HANZHANG, ZHANG, RONG · 2009 to 2012
$3.1M
Arterial Aging, Brain Perfusion & Exercise: Impact on Brain Structure & Function.R01HL102457 · NHLBI · UT SOUTHWESTERN MEDICAL CENTER · PI ZHANG, RONG · 2010 to 2013
$2.1M
NHLBI NIH HHS R01 HL102457NHLBI NIH HHS R01HL102457NIA NIH HHS R01 AG033106NIA NIH HHS R01AG033106
6 · The paper itself

Abstract

Resting-state functional magnetic resonance imaging (rs-fMRI) provides a potential to understand intrinsic brain functional connectivity. However, vascular effects in rs-fMRI are still not fully understood. Through multiple modalities, we showed marked vascular signal fluctuations and high-level coupling among arterial pressure, cerebral blood flow (CBF) velocity and brain tissue oxygenation at <0.08 Hz. These similar spectral power distributions were also observed in blood oxygen level-dependent (BOLD) signals obtained from six representative regions of interest (ROIs). After applying brain global, white-matter, cerebrospinal fluid (CSF) mean signal regressions and low-pass filtering (<0.08 Hz), the spectral power of BOLD signal was reduced by 55.6% to 64.9% in all ROIs (P=0.011 to 0.001). The coherence of BOLD signal fluctuations between an ROI pair within a same brain network was reduced by 9.9% to 20.0% (P=0.004 to <0.001), but a larger reduction of 22.5% to 37.3% (P=0.032 to <0.001) for one not in a same network. Global signal regression overall had the largest impact in reducing spectral power (by 52.2% to 61.7%) and coherence, relative to the other three preprocessing steps. Collectively, these findings raise a critical question of whether a large portion of rs-fMRI signals can be attributed to the vascular effects produced from upstream changes in cerebral hemodynamics.

Indexed as

AgedAlgorithmsBlood VesselsCerebrovascular CirculationFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedNerve NetOxygenOxygen ConsumptionRestWhite MatterOxygen

Identifiers

PMID26174326
PMCPMC4671123
OpenAlexW1573066718

What OpenQuestion holds

Textmetadata
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.