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MEG Frequency Analysis Depicts the Impaired Neurophysiological Condition of Ischemic Brain

PURPOSE: Quantitative imaging of neuromagnetic fields based on automated region of interest (ROI) setting was analyzed to determine the characteristics of cerebral neural activity in ischemic areas. METHODS: Magnetoencephalography (MEG) was used to evaluate spontaneous neuromagnetic fields in the is...

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Autores principales: Sakamoto, Shinichi, Ikeda, Hidetoshi, Tsuyuguchi, Naohiro, Uda, Takehiro, Okumura, Eiichi, Asakawa, Takashi, Haruta, Yasuhiro, Nishiyama, Hideki, Okada, Toyoji, Kamada, Hajime, Ohata, Kenji, Miki, Yukio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5161380/
https://www.ncbi.nlm.nih.gov/pubmed/27992543
http://dx.doi.org/10.1371/journal.pone.0168588
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author Sakamoto, Shinichi
Ikeda, Hidetoshi
Tsuyuguchi, Naohiro
Uda, Takehiro
Okumura, Eiichi
Asakawa, Takashi
Haruta, Yasuhiro
Nishiyama, Hideki
Okada, Toyoji
Kamada, Hajime
Ohata, Kenji
Miki, Yukio
author_facet Sakamoto, Shinichi
Ikeda, Hidetoshi
Tsuyuguchi, Naohiro
Uda, Takehiro
Okumura, Eiichi
Asakawa, Takashi
Haruta, Yasuhiro
Nishiyama, Hideki
Okada, Toyoji
Kamada, Hajime
Ohata, Kenji
Miki, Yukio
author_sort Sakamoto, Shinichi
collection PubMed
description PURPOSE: Quantitative imaging of neuromagnetic fields based on automated region of interest (ROI) setting was analyzed to determine the characteristics of cerebral neural activity in ischemic areas. METHODS: Magnetoencephalography (MEG) was used to evaluate spontaneous neuromagnetic fields in the ischemic areas of 37 patients with unilateral internal carotid artery (ICA) occlusive disease. Voxel-based time-averaged intensity of slow waves was obtained in two frequency bands (0.3–4 Hz and 4–8 Hz) using standardized low-resolution brain electromagnetic tomography (sLORETA) modified for a quantifiable method (sLORETA-qm). ROIs were automatically applied to the anterior cerebral artery (ACA), anterior middle cerebral artery (MCAa), posterior middle cerebral artery (MCAp), and posterior cerebral artery (PCA) using statistical parametric mapping (SPM). Positron emission tomography with (15)O-gas inhalation ((15)O-PET) was also performed to evaluate cerebral blood flow (CBF) and oxygen extraction fraction (OEF). Statistical analyses were performed using laterality index of MEG and (15)O-PET in each ROI with respect to distribution and intensity. RESULTS: MEG revealed statistically significant laterality in affected MCA regions, including 4–8 Hz waves in MCAa, and 0.3–4 Hz and 4–8 Hz waves in MCAp (95% confidence interval: 0.020–0.190, 0.030–0.207, and 0.034–0.213), respectively. We found that 0.3–4 Hz waves in MCAp were highly correlated with CBF in MCAa and MCAp (r = 0.74, r = 0.68, respectively), whereas 4–8 Hz waves were moderately correlated with CBF in both the MCAa and MCAp (r = 0.60, r = 0.63, respectively). We also found that 4–8 Hz waves in MCAp were statistically significant for misery perfusion identified on (15)O-PET (p<0.05). CONCLUSIONS: Quantitatively imaged spontaneous neuromagnetic fields using the automated ROI setting enabled clear depiction of cerebral ischemic areas. Frequency analysis may reveal unique neural activity that is distributed in the impaired vascular metabolic territory, in which the cerebral infarction has not yet been completed.
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spelling pubmed-51613802017-01-04 MEG Frequency Analysis Depicts the Impaired Neurophysiological Condition of Ischemic Brain Sakamoto, Shinichi Ikeda, Hidetoshi Tsuyuguchi, Naohiro Uda, Takehiro Okumura, Eiichi Asakawa, Takashi Haruta, Yasuhiro Nishiyama, Hideki Okada, Toyoji Kamada, Hajime Ohata, Kenji Miki, Yukio PLoS One Research Article PURPOSE: Quantitative imaging of neuromagnetic fields based on automated region of interest (ROI) setting was analyzed to determine the characteristics of cerebral neural activity in ischemic areas. METHODS: Magnetoencephalography (MEG) was used to evaluate spontaneous neuromagnetic fields in the ischemic areas of 37 patients with unilateral internal carotid artery (ICA) occlusive disease. Voxel-based time-averaged intensity of slow waves was obtained in two frequency bands (0.3–4 Hz and 4–8 Hz) using standardized low-resolution brain electromagnetic tomography (sLORETA) modified for a quantifiable method (sLORETA-qm). ROIs were automatically applied to the anterior cerebral artery (ACA), anterior middle cerebral artery (MCAa), posterior middle cerebral artery (MCAp), and posterior cerebral artery (PCA) using statistical parametric mapping (SPM). Positron emission tomography with (15)O-gas inhalation ((15)O-PET) was also performed to evaluate cerebral blood flow (CBF) and oxygen extraction fraction (OEF). Statistical analyses were performed using laterality index of MEG and (15)O-PET in each ROI with respect to distribution and intensity. RESULTS: MEG revealed statistically significant laterality in affected MCA regions, including 4–8 Hz waves in MCAa, and 0.3–4 Hz and 4–8 Hz waves in MCAp (95% confidence interval: 0.020–0.190, 0.030–0.207, and 0.034–0.213), respectively. We found that 0.3–4 Hz waves in MCAp were highly correlated with CBF in MCAa and MCAp (r = 0.74, r = 0.68, respectively), whereas 4–8 Hz waves were moderately correlated with CBF in both the MCAa and MCAp (r = 0.60, r = 0.63, respectively). We also found that 4–8 Hz waves in MCAp were statistically significant for misery perfusion identified on (15)O-PET (p<0.05). CONCLUSIONS: Quantitatively imaged spontaneous neuromagnetic fields using the automated ROI setting enabled clear depiction of cerebral ischemic areas. Frequency analysis may reveal unique neural activity that is distributed in the impaired vascular metabolic territory, in which the cerebral infarction has not yet been completed. Public Library of Science 2016-12-16 /pmc/articles/PMC5161380/ /pubmed/27992543 http://dx.doi.org/10.1371/journal.pone.0168588 Text en © 2016 Sakamoto et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Sakamoto, Shinichi
Ikeda, Hidetoshi
Tsuyuguchi, Naohiro
Uda, Takehiro
Okumura, Eiichi
Asakawa, Takashi
Haruta, Yasuhiro
Nishiyama, Hideki
Okada, Toyoji
Kamada, Hajime
Ohata, Kenji
Miki, Yukio
MEG Frequency Analysis Depicts the Impaired Neurophysiological Condition of Ischemic Brain
title MEG Frequency Analysis Depicts the Impaired Neurophysiological Condition of Ischemic Brain
title_full MEG Frequency Analysis Depicts the Impaired Neurophysiological Condition of Ischemic Brain
title_fullStr MEG Frequency Analysis Depicts the Impaired Neurophysiological Condition of Ischemic Brain
title_full_unstemmed MEG Frequency Analysis Depicts the Impaired Neurophysiological Condition of Ischemic Brain
title_short MEG Frequency Analysis Depicts the Impaired Neurophysiological Condition of Ischemic Brain
title_sort meg frequency analysis depicts the impaired neurophysiological condition of ischemic brain
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5161380/
https://www.ncbi.nlm.nih.gov/pubmed/27992543
http://dx.doi.org/10.1371/journal.pone.0168588
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