MEG Frequency Analysis Depicts the Impaired Neurophysiological Condition of Ischemic Brain
| Autor: | Takashi Asakawa, Hidetoshi Ikeda, Kenji Ohata, Eiichi Okumura, Toyoji Okada, Yukio Miki, Yasuhiro Haruta, Shinichi Sakamoto, Takehiro Uda, Hajime Kamada, Naohiro Tsuyuguchi, Hideki Nishiyama |
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| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Carotid Artery Diseases
Male Cerebral arteries lcsh:Medicine Pathology and Laboratory Medicine 030218 nuclear medicine & medical imaging Brain Ischemia Diagnostic Radiology 0302 clinical medicine Medicine and Health Sciences lcsh:Science Tomography Aged 80 and over Brain Mapping Cerebral Ischemia Multidisciplinary Cerebral infarction Radiology and Imaging Magnetoencephalography Arteries Middle Aged Magnetic Resonance Imaging Cerebral blood flow Neurology Infarction Cerebrovascular Circulation Middle cerebral artery Female Anatomy Carotid Artery Internal Research Article Adult Imaging Techniques Neuroimaging Posterior cerebral artery Statistical parametric mapping Research and Analysis Methods 03 medical and health sciences Signs and Symptoms Region of interest Diagnostic Medicine medicine.artery medicine Anterior cerebral artery Humans Aged business.industry lcsh:R Biology and Life Sciences Cerebral Arteries medicine.disease Positron-Emission Tomography Lesions Cardiovascular Anatomy Blood Vessels lcsh:Q business Nuclear medicine 030217 neurology & neurosurgery Positron Emission Tomography Neuroscience |
| Zdroj: | PLoS ONE, Vol 11, Iss 12, p e0168588 (2016) PLoS ONE |
| ISSN: | 1932-6203 |
| Popis: | 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 15O-gas inhalation (15O-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 15O-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 15O-PET (p |
| Databáze: | OpenAIRE |
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