Low-frequency conductivity tensor of rat brain tissues inferred from diffusion MRI

Conductivity tensor maps of the rat brain were obtained using diffusion magnetic resonance imaging (MRI). Signal attenuations in the cortex and the corpus callosum were measured using the stimulated echo acquisition mode (STEAM) sequence with b factors up to 6000 s/mm2. Our previously published meth...

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Published in:	Bioelectromagnetics Vol. 30; no. 6; pp. 489 - 499
Main Authors:	Sekino, Masaki, Ohsaki, Hiroyuki, Yamaguchi-Sekino, Sachiko, Iriguchi, Norio, Ueno, Shoogo
Format:	Journal Article
Language:	English
Published:	Hoboken Wiley Subscription Services, Inc., A Wiley Company 01.09.2009
Subjects:	Algorithms Animals Anisotropy Brain - physiology Brain Mapping - methods Cerebral Cortex - physiology conductivity Corpus Callosum - physiology Diffusion Magnetic Resonance Imaging - methods Electric Conductivity magnetic resonance Male Models, Neurological Rats Rats, Wistar
ISSN:	0197-8462, 1521-186X, 1521-186X
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Abstract	Conductivity tensor maps of the rat brain were obtained using diffusion magnetic resonance imaging (MRI). Signal attenuations in the cortex and the corpus callosum were measured using the stimulated echo acquisition mode (STEAM) sequence with b factors up to 6000 s/mm2. Our previously published method was improved to infer 3 × 3 conductivity tensor at the low‐frequency limit. The conductivity tensor of the tissue was inferred from the fast component of the diffusion tensor and a fraction of the fast component. The mean conductivity (MC) of the cortex and the corpus callosum was 0.52 and 0.62 S/m, respectively. Diffusion‐weighted images were obtained with b factors up to 4500 s/mm2. Conductivity tensor images were calculated from the fast diffusion tensor images. Tissues with highly anisotropic cellular structures, such as the corpus callosum, the internal capsule, and the trigeminal nerve, exhibited high anisotropy in conductivity. The resulting values corresponded to conductivities at the low‐frequency limit because our method assumed electric currents flowing only through extracellular fluid. Bioelectromagnetics 30:489–499, 2009. © 2009 Wiley‐Liss, Inc.
AbstractList	Conductivity tensor maps of the rat brain were obtained using diffusion magnetic resonance imaging (MRI). Signal attenuations in the cortex and the corpus callosum were measured using the stimulated echo acquisition mode (STEAM) sequence with b factors up to 6000 s/mm2. Our previously published method was improved to infer 3 X 3 conductivity tensor at the low-frequency limit. The conductivity tensor of the tissue was inferred from the fast component of the diffusion tensor and a fraction of the fast component. The mean conductivity (MC) of the cortex and the corpus callosum was 0.52 and 0.62 S/m, respectively. Diffusion-weighted images were obtained with b factors up to 4500 s/mm2. Conductivity tensor images were calculated from the fast diffusion tensor images. Tissues with highly anisotropic cellular structures, such as the corpus callosum, the internal capsule, and the trigeminal nerve, exhibited high anisotropy in conductivity. The resulting values corresponded to conductivities at the low-frequency limit because our method assumed electric currents flowing only through extracellular fluid. Bioelectromagnetics 30:489-499, 2009. Conductivity tensor maps of the rat brain were obtained using diffusion magnetic resonance imaging (MRI). Signal attenuations in the cortex and the corpus callosum were measured using the stimulated echo acquisition mode (STEAM) sequence with b factors up to 6000 s/mm(2). Our previously published method was improved to infer 3 x 3 conductivity tensor at the low-frequency limit. The conductivity tensor of the tissue was inferred from the fast component of the diffusion tensor and a fraction of the fast component. The mean conductivity (MC) of the cortex and the corpus callosum was 0.52 and 0.62 S/m, respectively. Diffusion-weighted images were obtained with b factors up to 4500 s/mm(2). Conductivity tensor images were calculated from the fast diffusion tensor images. Tissues with highly anisotropic cellular structures, such as the corpus callosum, the internal capsule, and the trigeminal nerve, exhibited high anisotropy in conductivity. The resulting values corresponded to conductivities at the low-frequency limit because our method assumed electric currents flowing only through extracellular fluid.Conductivity tensor maps of the rat brain were obtained using diffusion magnetic resonance imaging (MRI). Signal attenuations in the cortex and the corpus callosum were measured using the stimulated echo acquisition mode (STEAM) sequence with b factors up to 6000 s/mm(2). Our previously published method was improved to infer 3 x 3 conductivity tensor at the low-frequency limit. The conductivity tensor of the tissue was inferred from the fast component of the diffusion tensor and a fraction of the fast component. The mean conductivity (MC) of the cortex and the corpus callosum was 0.52 and 0.62 S/m, respectively. Diffusion-weighted images were obtained with b factors up to 4500 s/mm(2). Conductivity tensor images were calculated from the fast diffusion tensor images. Tissues with highly anisotropic cellular structures, such as the corpus callosum, the internal capsule, and the trigeminal nerve, exhibited high anisotropy in conductivity. The resulting values corresponded to conductivities at the low-frequency limit because our method assumed electric currents flowing only through extracellular fluid. Conductivity tensor maps of the rat brain were obtained using diffusion magnetic resonance imaging (MRI). Signal attenuations in the cortex and the corpus callosum were measured using the stimulated echo acquisition mode (STEAM) sequence with b factors up to 6000 s/mm 2 . Our previously published method was improved to infer 3 × 3 conductivity tensor at the low‐frequency limit. The conductivity tensor of the tissue was inferred from the fast component of the diffusion tensor and a fraction of the fast component. The mean conductivity (MC) of the cortex and the corpus callosum was 0.52 and 0.62 S/m, respectively. Diffusion‐weighted images were obtained with b factors up to 4500 s/mm 2 . Conductivity tensor images were calculated from the fast diffusion tensor images. Tissues with highly anisotropic cellular structures, such as the corpus callosum, the internal capsule, and the trigeminal nerve, exhibited high anisotropy in conductivity. The resulting values corresponded to conductivities at the low‐frequency limit because our method assumed electric currents flowing only through extracellular fluid. Bioelectromagnetics 30:489–499, 2009. © 2009 Wiley‐Liss, Inc. Conductivity tensor maps of the rat brain were obtained using diffusion magnetic resonance imaging (MRI). Signal attenuations in the cortex and the corpus callosum were measured using the stimulated echo acquisition mode (STEAM) sequence with b factors up to 6000 s/mm(2). Our previously published method was improved to infer 3 x 3 conductivity tensor at the low-frequency limit. The conductivity tensor of the tissue was inferred from the fast component of the diffusion tensor and a fraction of the fast component. The mean conductivity (MC) of the cortex and the corpus callosum was 0.52 and 0.62 S/m, respectively. Diffusion-weighted images were obtained with b factors up to 4500 s/mm(2). Conductivity tensor images were calculated from the fast diffusion tensor images. Tissues with highly anisotropic cellular structures, such as the corpus callosum, the internal capsule, and the trigeminal nerve, exhibited high anisotropy in conductivity. The resulting values corresponded to conductivities at the low-frequency limit because our method assumed electric currents flowing only through extracellular fluid. Conductivity tensor maps of the rat brain were obtained using diffusion magnetic resonance imaging (MRI). Signal attenuations in the cortex and the corpus callosum were measured using the stimulated echo acquisition mode (STEAM) sequence with b factors up to 6000 s/mm2. Our previously published method was improved to infer 3 × 3 conductivity tensor at the low‐frequency limit. The conductivity tensor of the tissue was inferred from the fast component of the diffusion tensor and a fraction of the fast component. The mean conductivity (MC) of the cortex and the corpus callosum was 0.52 and 0.62 S/m, respectively. Diffusion‐weighted images were obtained with b factors up to 4500 s/mm2. Conductivity tensor images were calculated from the fast diffusion tensor images. Tissues with highly anisotropic cellular structures, such as the corpus callosum, the internal capsule, and the trigeminal nerve, exhibited high anisotropy in conductivity. The resulting values corresponded to conductivities at the low‐frequency limit because our method assumed electric currents flowing only through extracellular fluid. Bioelectromagnetics 30:489–499, 2009. © 2009 Wiley‐Liss, Inc.
Author	Iriguchi, Norio Ohsaki, Hiroyuki Sekino, Masaki Yamaguchi-Sekino, Sachiko Ueno, Shoogo
Author_xml	– sequence: 1 givenname: Masaki surname: Sekino fullname: Sekino, Masaki email: sekino@k.u-tokyo.ac.jp organization: Department of Advanced Energy, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan – sequence: 2 givenname: Hiroyuki surname: Ohsaki fullname: Ohsaki, Hiroyuki organization: Department of Advanced Energy, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan – sequence: 3 givenname: Sachiko surname: Yamaguchi-Sekino fullname: Yamaguchi-Sekino, Sachiko organization: Department of Biomedical Engineering, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan – sequence: 4 givenname: Norio surname: Iriguchi fullname: Iriguchi, Norio organization: Center for Multimedia and Information Technologies, Kumamoto University, Kumamoto, Japan – sequence: 5 givenname: Shoogo surname: Ueno fullname: Ueno, Shoogo organization: Department of Applied Quantum Physics, Graduate School of Engineering, Kyushu University, Fukuoka, Japan
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CitedBy_id	crossref_primary_10_1002_bem_20714 crossref_primary_10_1016_j_matcom_2017_11_006 crossref_primary_10_1371_journal_pone_0197063 crossref_primary_10_1098_rsos_220552 crossref_primary_10_1016_j_apm_2019_05_002 crossref_primary_10_1038_s41598_023_30344_1 crossref_primary_10_1088_0031_9155_59_12_2955 crossref_primary_10_1186_s12885_017_3159_y crossref_primary_10_1029_2020RS007152 crossref_primary_10_1109_TMAG_2011_2171925 crossref_primary_10_1016_j_jneumeth_2010_11_024 crossref_primary_10_1063_1_4928652 crossref_primary_10_1016_j_neuroimage_2020_117466 crossref_primary_10_1063_1_4973818 crossref_primary_10_1016_j_matcom_2017_01_004 crossref_primary_10_1002_bem_20611
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Snippet	Conductivity tensor maps of the rat brain were obtained using diffusion magnetic resonance imaging (MRI). Signal attenuations in the cortex and the corpus...
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SubjectTerms	Algorithms Animals Anisotropy Brain - physiology Brain Mapping - methods Cerebral Cortex - physiology conductivity Corpus Callosum - physiology Diffusion Magnetic Resonance Imaging - methods Electric Conductivity magnetic resonance Male Models, Neurological Rats Rats, Wistar
Title	Low-frequency conductivity tensor of rat brain tissues inferred from diffusion MRI
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