Evidence map›Paper›PMID 18684643›Full record

ArticleNeuroImage2008

Stimulus-induced Rotary Saturation (SIRS): a potential method for the detection of neuronal currents with MRI.

Thomas Witzel, Fa-Hsuan Lin, Bruce R Rosen, Lawrence L Wald

Open access · greenAbstract read
In one paragraph

Article in NeuroImage, 2008. 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
1.7field-weighted citation impact, top 15% 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, 50 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. Can MRI Be Used as a Sensor to Record Neural Activity?Sensors (Basel, Switzerland) · 2023
    Review
  6. Article
  7. Article
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  10. Review
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  17. Article
  18. Physical principles for scalable neural recording.Frontiers in computational neuroscience · 2013
    Article
  19. Article
  20. Magnetic resonance imaging of oscillating electrical currents.Proceedings of the National Academy of Sciences of the United States of America · 2010
    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 2 countries.

Thomas WitzelSpeech and Hearing Bioscience and Technology Program, Harvard-MIT Division of Health Sciences and Technology, USA. twitzel@nmr.mgh.harvard.edu
Fa-Hsuan Lin
Bruce R Rosen
Lawrence L Wald
Athinoula A. Martinos Center for Biomedical Imaging · USHarvard–MIT Division of Health Sciences and Technology · USMassachusetts General Hospital · US

Funding

TRAINING FOR SPEECH AND HEARING SCIENCEST32DC000038 · NIDCD · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Gwenaelle S Geleoc · 1992 to 2026
$21.8M
ULTRAHIGH FIELD TECHNOLOGY FOR FUNCTIONAL IMAGINGP41RR014075 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI FISCHL, BRUCE · 1999 to 2011
$16.4M
Parallel Excitation Methods for High Field MRIR01EB006847 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI WALD, LAWRENCE L · 2007 to 2020
$5.4M
Dynamic Magnetic Resonance Inverse Imaging of the Human BrainR21EB007298 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI LIN, FA-HSUAN · 2007 to 2008
$470k
NCRR NIH HHS P41 RR014075NCRR NIH HHS P41RR14075NIBIB NIH HHS 1R21EB007298NIBIB NIH HHS R01 EB006847NIDCD NIH HHS 5T32DC000038-15NIDCD NIH HHS T32 DC000038
6 · The paper itself

Abstract

Neuronal currents produce local transient and oscillatory magnetic fields that can be readily detected by MEG. Previous work attempting to detect these magnetic fields with MR focused on detecting local phase shifts and dephasing in T(2) or T(2)-weighted images. For temporally biphasic and multi-phasic local currents the sensitivity of these methods can be reduced through the cancellation of the accrued phase induced by positive and negative episodes of the neuronal current. The magnitude of the phase shift is also dependent on the distribution of the current within the voxel. Since spins on one side of a current source develop an opposite phase shift relative to those on the other side, there is likely to be significant cancellation within the voxel. We introduce a potential method for detecting neuronal currents though their resonant T(1rho) saturation during a spin-lock preparation period. The method is insensitive to the temporal and spatial cancellation effects since it utilizes the multi-phasic nature of the neuronal currents and thus is not sensitive to the sign of the local field. To produce a T(1)(rho) reduction, the Larmor frequency in the rotating frame, which is set by gammaB(1lock) (typically 20 Hz-5 kHz), must match the major frequency components of the stimulus-induced neuronal currents. We validate the method in MRI phantom studies. The rotary saturation spectra showed a sharp resonance when a current dipole within the phantom was driven at the Larmor frequency in the rotating frame. A 7 min block-design experiment was found to be sensitive to a current dipole strength of 56 nAm, an approximate magnetic field of 1 nT at 1.5 mm from the dipole. This dipole moment is similar to that seen using the phase shift method in a similar experimental setup by Konn et al. [Konn, D., Gowland, P., Bowtell, R., 2003. MRI detection of weak magnetic fields due to an extended current dipole in a conducting sphere: a model for direct detection of neuronal currents in the brain. Magn. Reson. Med. 50, 40-49], but is potentially less encumbered by temporal and spatial cancellation effects.

Indexed as

AlgorithmsBrainBrain MappingEvoked PotentialsFeasibility StudiesHumansImage EnhancementImage Interpretation, Computer-AssistedMagnetic Resonance ImagingNeuronsReproducibility of ResultsSensitivity and Specificity

Identifiers

PMID18684643
PMCPMC2579748
OpenAlexW2122349378

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.