Evidence map›Paper›PMID 26529646›Full record

ArticleNeuroImage2016

Brain region and activity-dependent properties of M for calibrated fMRI.

Christina Y Shu, Peter Herman, Daniel Coman, Basavaraju G Sanganahalli, Helen Wang, Christoph Juchem, Douglas L Rothman, Robin A de Graaf, Fahmeed Hyder

Abstract read
In one paragraph

Article in NeuroImage, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
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

19 citing papers in PubMed, 29 citations in OpenAlex.

  1. Imaging effective oxygen diffusivity in the human brain with multiparametric magnetic resonance imaging.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2022
    Trial
  2. Article
  3. Spatiotemporal features of neurovascular (un)coupling with stimulus-induced activity and hypercapnia challenge in cerebral cortex and olfactory bulb.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2023
    Article
  4. Article
  5. The many layers of BOLD. The effect of hypercapnic and hyperoxic stimuli on macro- and micro-vascular compartments quantified byJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2023
    Article
  6. Review
  7. Mapping oxidative metabolism in the human brain with calibrated fMRI in health and disease.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2022
    Article
  8. High-resolution relaxometry-based calibrated fMRI in murine brain: Metabolic differences between awake and anesthetized states.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Flow-metabolism uncoupling in patients with asymptomatic unilateral carotid artery stenosis assessed by multi-modal magnetic resonance imaging.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2019
    Article
  13. Brain PET Poster Sessions PP01-M01 to PP02-N07.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2019
    Article
  14. Poster Viewing Sessions PB01-B01 to PB03-V09.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2019
    Article
  15. Article
  16. Functional magnetic resonance imaging in chronic ischaemic stroke.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2016
    Review
  17. Metabolic demands of neural-hemodynamic associated and disassociated areas in brain.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2016
    Article
  18. MRI-based methods for quantification of the cerebral metabolic rate of oxygen.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2016
    Review
  19. 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

9 authors at 2 institutions in 1 country.

Christina Y ShuDepartment of Biomedical Engineering, Yale University, New Haven, CT, USA. Electronic address: christina.shu@yale.edu.
Peter HermanDepartment of Radiology and Biomedical Imaging and Magnetic Resonance Research Center, Yale University, New Haven, CT, USA.
Daniel ComanDepartment of Radiology and Biomedical Imaging and Magnetic Resonance Research Center, Yale University, New Haven, CT, USA.
Basavaraju G SanganahalliDepartment of Radiology and Biomedical Imaging and Magnetic Resonance Research Center, Yale University, New Haven, CT, USA.
Helen WangDepartment of Radiology and Biomedical Imaging and Magnetic Resonance Research Center, Yale University, New Haven, CT, USA.
Christoph JuchemDepartment of Radiology and Biomedical Imaging and Magnetic Resonance Research Center, Yale University, New Haven, CT, USA; Department of Neurology, Yale University, New Haven, CT, USA.
Douglas L RothmanDepartment of Biomedical Engineering, Yale University, New Haven, CT, USA; Department of Radiology and Biomedical Imaging and Magnetic Resonance Research Center, Yale University, New Haven, CT, USA.
Robin A de GraafDepartment of Biomedical Engineering, Yale University, New Haven, CT, USA; Department of Radiology and Biomedical Imaging and Magnetic Resonance Research Center, Yale University, New Haven, CT, USA.
Fahmeed HyderDepartment of Biomedical Engineering, Yale University, New Haven, CT, USA; Department of Radiology and Biomedical Imaging and Magnetic Resonance Research Center, Yale University, New Haven, CT, USA. Electronic address: fahmeed.hyder@yale.edu.
Yale University · USResonance Research (United States) · US

Funding

NeurophysiologicP30NS052519 · NINDS · YALE UNIVERSITY · PI HYDER, DEWAN SYED FAHMEED · 2007 to 2017
$6.7M
Energetics of Neuronal Populations by fMRIR01MH067528 · NIMH · YALE UNIVERSITY · PI HYDER, DEWAN SYED FAHMEED · 2002 to 2021
$5.9M
13C MRS Studies of Human Brain Mitochondrial Metabolism in Healthy AgingR01AG034953 · NIA · YALE UNIVERSITY · PI ROTHMAN, DOUGLAS LYLE · 2010 to 2013
$1.9M
NIA NIH HHS R01 AG-034953NIA NIH HHS R01 AG034953NIMH NIH HHS R01 MH-067528NIMH NIH HHS R01 MH067528NINDS NIH HHS P30 NS-052519NINDS NIH HHS P30 NS052519
6 · The paper itself

Abstract

Calibrated fMRI extracts changes in oxidative energy demanded by neural activity based on hemodynamic and metabolic dependencies of the blood oxygenation level-dependent (BOLD) response. This procedure requires the parameter M, which is determined from the dynamic range of the BOLD signal between deoxyhemoglobin (paramagnetic) and oxyhemoglobin (diamagnetic). Since it is unclear if the range of M-values in human calibrated fMRI is due to regional/state differences, we conducted a 9.4T study to measure M-values across brain regions in deep (α-chloralose) and light (medetomidine) anesthetized rats, as verified by electrophysiology. Because BOLD signal is captured differentially by gradient-echo (R2*) and spin-echo (R2) relaxation rates, we measured M-values by the product of the fMRI echo time and R2' (i.e., the reversible magnetic susceptibility component), which is given by the absolute difference between R2* and R2. While R2' mapping was shown to be dependent on the k-space sampling method used, at nominal spatial resolutions achieved at high magnetic field of 9.4T the M-values were quite homogenous across cortical gray matter. However cortical M-values varied in relation to neural activity between brain states. The findings from this study could improve precision of future calibrated fMRI studies by focusing on the global uniformity of M-values in gray matter across different resting activity levels.

Indexed as

AnimalsBrainBrain MappingCalibrationCerebrovascular CirculationImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleNeurovascular CouplingOxygenRatsRats, Sprague-DawleyOxygenBlood flowBlood volumeGlutamateLactateNeurometabolic couplingNeurovascular coupling

Identifiers

PMID26529646
PMCPMC4691415
OpenAlexW2196905323

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.