Evidence map›Paper›PMID 30652351›Full record

ArticleMagnetic resonance in medicine2019

Toward direct MRI of neuro-electro-magnetic oscillations in the human brain.

Trong-Kha Truong, Kenneth C Roberts, Marty G Woldorff, Allen W Song

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Functional conductivity imaging: quantitative mapping of brain activity.Physical and engineering sciences in medicine · 2024
    Article
  6. Can MRI Be Used as a Sensor to Record Neural Activity?Sensors (Basel, Switzerland) · 2023
    Review
  7. Article
  8. 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.

Trong-Kha TruongBrain Imaging and Analysis Center, Duke University, Durham, North Carolina.
Kenneth C RobertsCenter for Cognitive Neuroscience, Duke University, Durham, North Carolina.
Marty G WoldorffCenter for Cognitive Neuroscience, Duke University, Durham, North Carolina.
Allen W SongBrain Imaging and Analysis Center, Duke University, Durham, North Carolina.

Funding

Path Toward MRI with Direct Sensitivity to Neuro-Electro-Magnetic OscillationsR24MH106048 · NIMH · DUKE UNIVERSITY · PI SONG, ALLEN W · 2014 to 2016
$1.4M
NIMH NIH HHS R24 MH106048
6 · The paper itself

Abstract

purposeNeuroimaging techniques are widely used to investigate the function of the human brain, but none are currently able to accurately localize neuronal activity with both high spatial and temporal specificity. Here, a new in vivo MRI acquisition and analysis technique based on the spin-lock mechanism is developed to noninvasively image local magnetic field oscillations resulting from neuroelectric activity in specifiable frequency bands.

methodsSimulations, phantom experiments, and in vivo experiments using an eyes-open/eyes-closed task in 8 healthy volunteers were performed to demonstrate its sensitivity and specificity for detecting oscillatory neuroelectric activity in the alpha-band (8-12 Hz). A comprehensive postprocessing procedure was designed to enhance the neuroelectric signal, while minimizing any residual hemodynamic and physiological confounds.

resultsThe phantom results show that this technique can detect 0.06-nT magnetic field oscillations, while the in vivo results demonstrate that it can image task-based modulations of neuroelectric oscillatory activity in the alpha-band. Multiple control experiments and a comparison with conventional BOLD functional MRI suggest that the activation was likely not due to any residual hemodynamic or physiological confounds.

conclusionThese initial results provide evidence suggesting that this new technique has the potential to noninvasively and directly image neuroelectric activity in the human brain in vivo. With further development, this approach offers the promise of being able to do so with a combination of spatial and temporal specificity that is beyond what can be achieved with existing neuroimaging methods, which can advance our ability to study the functions and dysfunctions of the human brain.

Indexed as

BrainElectroencephalographyElectromagnetic FieldsHumansMagnetic Resonance ImagingNeuroimagingPhantoms, Imagingalpha bandfunctional magnetic resonance imagingneuroelectric activityneuronal oscillationsspin-lock

Identifiers

PMID30652351
PMCPMC6438626

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Registered trials

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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.