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Toward direct MRI of neuro‐electro‐magnetic oscillations in the human brain
Author(s) -
Truong TrongKha,
Roberts Kenneth C.,
Woldorff Marty G.,
Song Allen W.
Publication year - 2019
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.27654
Subject(s) - neuroimaging , neuroscience , imaging phantom , brain activity and meditation , human brain , electroencephalography , in vivo , functional magnetic resonance imaging , residual , magnetic resonance imaging , psychology , computer science , nuclear magnetic resonance , physics , medicine , nuclear medicine , radiology , biology , algorithm , microbiology and biotechnology
Purpose Neuroimaging 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. Methods Simulations, 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. Results The 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. Conclusion These 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.