Evidence map›Paper›PMID 25160670›Full record

ReviewJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism2014

Insights from neuroenergetics into the interpretation of functional neuroimaging: an alternative empirical model for studying the brain's support of behavior.

Robert G Shulman, Fahmeed Hyder, Douglas L Rothman

Open access · bronzeAbstract readReview
In one paragraph

Review in Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

21 citing papers in PubMed, 46 citations in OpenAlex.

  1. Article
  2. In vivo neuropil density from anatomical MRI and machine learning.Cerebral cortex (New York, N.Y. : 1991) · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. The mitochondrial calcium uniporter is crucial for the generation of fast cortical network rhythms.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2020
    Article
  11. Article
  12. Article
  13. Evaluating the gray and white matter energy budgets of human brain function.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2018
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Neurochemical and BOLD responses during neuronal activation measured in the human visual cortex at 7 Tesla.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2015
    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

3 authors at 2 institutions in 1 country.

Robert G ShulmanMagnetic Resonance Research Center, Yale University, New Haven, Connecticut, USA.
Fahmeed Hyder1] Magnetic Resonance Research Center, Yale University, New Haven, Connecticut, USA [2] Departments of Diagnostic Radiology, Yale University, New Haven, Connecticut, USA [3] Biomedical Engineering, Yale University, New Haven, Connecticut, USA [4] Quantitative Neuroscience with Magnetic Resonance Core Center, Yale University, New Haven, Connecticut, USA.
Douglas L Rothman1] Magnetic Resonance Research Center, Yale University, New Haven, Connecticut, USA [2] Departments of Diagnostic Radiology, Yale University, New Haven, Connecticut, USA [3] Biomedical Engineering, Yale University, New Haven, Connecticut, USA [4] Quantitative Neuroscience with Magnetic Resonance Core Center, Yale University, New Haven, Connecticut, USA.
Yale University · USResonance Research (United States) · US

Funding

Yale Diabetes Research CenterP30DK045735 · NIDDK · YALE UNIVERSITY · PI Richard A Flavell · 1993 to 2026
$44.0M
Yale University Clinical and Translational Science Award ProgramUL1TR000142 · NCATS · YALE UNIVERSITY · PI SHERWIN, ROBERT S · 2012 to 2015
$31.8M
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
NCATS NIH HHS UL1 TR000142NIA NIH HHS R01 AG034953NIDDK NIH HHS P30 DK045735NIMH NIH HHS R01 MH067528NINDS NIH HHS P30 NS052519
6 · The paper itself

Abstract

Functional neuroimaging measures quantitative changes in neurophysiological parameters coupled to neuronal activity during observable behavior. These results have usually been interpreted by assuming that mental causation of behavior arises from the simultaneous actions of distinct psychological mechanisms or modules. However, reproducible localization of these modules in the brain using functional magnetic resonance imaging (MRI) and positron emission tomography (PET) imaging has been elusive other than for sensory systems. In this paper, we show that neuroenergetic studies using PET, calibrated functional magnetic resonance imaging (fMRI), (13)C magnetic resonance spectroscopy, and electrical recordings do not support the standard approach, which identifies the location of mental modules from changes in brain activity. Of importance in reaching this conclusion is that changes in neuronal activities underlying the fMRI signal are many times smaller than the high ubiquitous, baseline neuronal activity, or energy in resting, awake humans. Furthermore, the incremental signal depends on the baseline activity contradicting theoretical assumptions about linearity and insertion of mental modules. To avoid these problems, while making use of these valuable results, we propose that neuroimaging should be used to identify observable brain activities that are necessary for a person's observable behavior rather than being used to seek hypothesized mental processes.

Indexed as

BrainModels, NeurologicalAnimalsBehaviorFunctional NeuroimagingHumansMagnetic Resonance SpectroscopyMental ProcessesPositron-Emission TomographyRadiography

Identifiers

PMID25160670
PMCPMC4269754
OpenAlexW2000322059

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.