Literature DB >> 33312775

Novel Technique for Noninvasive Detection of Localized Dynamic Brain Signals by Using Transcranial Static Magnetic Fields.

Osamu Hiwaki1.   

Abstract

The techniques for noninvasive measurement of brain function such as electroencephalography (EEG), magnetoencephalography (MEG), functional magnetic resonance imaging (fMRI), and functional near-infrared spectroscopy (fNIRS) have been used in diagnosing brain conditions. However, the conventional techniques have critical limitations of spatial or temporal resolution. Here, we developed a novel technique which enables the precise measurement of dynamic brain signals and localized identification of active brain regions. In this technique, termed as magnetically biased field (MBF), human brain signal is measured as the fluctuation of a transcranial static magnetic field emitted by a coil placed on the scalp. The validity of MBF was confirmed by the measurement of somatosensory evoked signals. Fast somatosensory evoked signals were successfully observed. Localized maximum positive and negative deflections appeared at the region which represents the right primary somatosensory area contralateral to the stimulated hand. The ability of MBF to detect dynamic brain activity precisely can have numerous applications such as diagnosing brain diseases and brain-machine interfaces.

Entities:  

Keywords:  Biomagnetics; biomedical imaging; encephalography; neural engineering

Mesh:

Year:  2020        PMID: 33312775      PMCID: PMC7725272          DOI: 10.1109/JTEHM.2020.3039043

Source DB:  PubMed          Journal:  IEEE J Transl Eng Health Med        ISSN: 2168-2372            Impact factor:   3.316


  27 in total

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  1 in total

1.  Znet: Deep Learning Approach for 2D MRI Brain Tumor Segmentation.

Authors:  Mohammad Ashraf Ottom; Hanif Abdul Rahman; Ivo D Dinov
Journal:  IEEE J Transl Eng Health Med       Date:  2022-05-23
  1 in total

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