Dataset Information

Finding neuroelectric activity under magnetic-field oscillations (NAMO) with magnetic resonance imaging in vivo.

ABSTRACT: Neuroimaging techniques are among the most important tools for investigating the function of the human nervous system and for improving the clinical diagnosis of neurological disorders. However, most commonly used techniques are limited by their invasiveness or their inability to accurately localize neural activity in space or time. Previous attempts at using MRI to directly image neuroelectric activity in vivo through the detection of magnetic field changes induced by neuronal currents have been challenging because of the extremely small signal changes and confounding factors such as hemodynamic modulations. Here we describe an MRI technique that uses oscillating magnetic field gradients to significantly amplify and detect the Lorentz effect induced by neuroelectric activity, and we demonstrate its effectiveness in imaging sensory nerve activation in vivo in the human median nerve during electrical stimulation of the wrist. This direct, real-time, and noninvasive neuroimaging technique may potentially find broad applications in neurosciences.

SUBMITTER: Truong TK

PROVIDER: S-EPMC1567924 | biostudies-literature | 2006 Aug

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Finding neuroelectric activity under magnetic-field oscillations (NAMO) with magnetic resonance imaging in vivo.

Truong Trong-Kha TK Song Allen W AW

Proceedings of the National Academy of Sciences of the United States of America 20060807 33

Neuroimaging techniques are among the most important tools for investigating the function of the human nervous system and for improving the clinical diagnosis of neurological disorders. However, most commonly used techniques are limited by their invasiveness or their inability to accurately localize neural activity in space or time. Previous attempts at using MRI to directly image neuroelectric activity in vivo through the detection of magnetic field changes induced by neuronal currents have bee ...[more]

PMID: 16894177

Similar Datasets

Project description:BackgroundMorton neuroma is a common cause of forefoot pain and sensory disturbances, but it is difficult to identify on magnetic resonance imaging (MRI). The aim of this study was to verify the usefulness of a characteristic MRI finding (slug sign) for identifying Morton neuroma and to clarify the relationship between excised neuroma characteristics and preoperative MRI findings.MethodsTwenty-two web spaces were retrospectively assessed from the second and third intermetatarsal spaces of 11 feet of 10 patients (7 women and 3 men, aged average 59.5 years) who underwent surgical excision of Morton neuroma between 2017 and 2022. Asymptomatic web spaces were used as control. Neuromas with 2 branches of the plantar digital nerves on axial T1-weighted MRI (MRI-T1WI) were considered the slug sign. We investigated the preoperative presence of the slug sign in Morton neuroma and asymptomatic control web spaces. We also investigated the relationship between the maximum transverse diameter of the excised specimen and that estimated on coronal MRI-T1WI.ResultsA total of 15 Morton neuromas were excised and assessed. The slug signs were present in 10 intermetatarsal spaces in 15 web spaces with Morton neuroma whereas the sign was found in 1 intermetatarsal space in 7 asymptomatic web spaces. The sensitivity and specificity for the slug sign to diagnose Morton neuroma was 66.7% and 85.7%, respectively. The positive and negative predictive values were 90.9% and 54.5%, respectively. The mean maximum transverse diameter of excised neuromas was 4.7 mm. The mean maximum transverse diameter of neuromas on coronal MRI-T1WI was 3.4 mm. A significant positive correlation was found between the maximum transverse diameters of excised specimens and diameters estimated on coronal MRI-T1WI (r = 0.799, P < .001).ConclusionThe slug sign may be a useful indicator of Morton neuroma on MRI to confirm nerve involvement after bifurcation.Level of evidenceLevel IV, retrospective series.

Dataset Information

Finding neuroelectric activity under magnetic-field oscillations (NAMO) with magnetic resonance imaging in vivo.

Publications

Finding neuroelectric activity under magnetic-field oscillations (NAMO) with magnetic resonance imaging in vivo.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets