Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
20
pubmed:dateCreated
2001-9-26
pubmed:abstractText
Knowledge of the electrical conductivity properties of excitable tissues is essential for relating the electromagnetic fields generated by the tissue to the underlying electrophysiological currents. Efforts to characterize these endogenous currents from measurements of the associated electromagnetic fields would significantly benefit from the ability to measure the electrical conductivity properties of the tissue noninvasively. Here, using an effective medium approach, we show how the electrical conductivity tensor of tissue can be quantitatively inferred from the water self-diffusion tensor as measured by diffusion tensor magnetic resonance imaging. The effective medium model indicates a strong linear relationship between the conductivity and diffusion tensor eigenvalues (respectively, final sigma and d) in agreement with theoretical bounds and experimental measurements presented here (final sigma/d approximately 0.844 +/- 0.0545 S small middle dots/mm(3), r(2) = 0.945). The extension to other biological transport phenomena is also discussed.
pubmed:grant
pubmed:commentsCorrections
http://linkedlifedata.com/resource/pubmed/commentcorrection/11573005-10427910, http://linkedlifedata.com/resource/pubmed/commentcorrection/11573005-10842642, http://linkedlifedata.com/resource/pubmed/commentcorrection/11573005-13990734, http://linkedlifedata.com/resource/pubmed/commentcorrection/11573005-13996056, http://linkedlifedata.com/resource/pubmed/commentcorrection/11573005-1612618, http://linkedlifedata.com/resource/pubmed/commentcorrection/11573005-1640741, http://linkedlifedata.com/resource/pubmed/commentcorrection/11573005-1814156, http://linkedlifedata.com/resource/pubmed/commentcorrection/11573005-2918822, http://linkedlifedata.com/resource/pubmed/commentcorrection/11573005-497825, http://linkedlifedata.com/resource/pubmed/commentcorrection/11573005-5582145, http://linkedlifedata.com/resource/pubmed/commentcorrection/11573005-5847284, http://linkedlifedata.com/resource/pubmed/commentcorrection/11573005-6068939, http://linkedlifedata.com/resource/pubmed/commentcorrection/11573005-758226, http://linkedlifedata.com/resource/pubmed/commentcorrection/11573005-805215, http://linkedlifedata.com/resource/pubmed/commentcorrection/11573005-8130344, http://linkedlifedata.com/resource/pubmed/commentcorrection/11573005-8598805, http://linkedlifedata.com/resource/pubmed/commentcorrection/11573005-8606768, http://linkedlifedata.com/resource/pubmed/commentcorrection/11573005-8946350, http://linkedlifedata.com/resource/pubmed/commentcorrection/11573005-8946355, http://linkedlifedata.com/resource/pubmed/commentcorrection/11573005-9216137, http://linkedlifedata.com/resource/pubmed/commentcorrection/11573005-9254984, http://linkedlifedata.com/resource/pubmed/commentcorrection/11573005-9254986, http://linkedlifedata.com/resource/pubmed/commentcorrection/11573005-9444846
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Sep
pubmed:issn
0027-8424
pubmed:author
pubmed:issnType
Print
pubmed:day
25
pubmed:volume
98
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
11697-701
pubmed:dateRevised
2010-9-14
pubmed:meshHeading
pubmed:year
2001
pubmed:articleTitle
Conductivity tensor mapping of the human brain using diffusion tensor MRI.
pubmed:affiliation
Massachusetts General Hospital, NMR Center, 149 13th Street, Charlestown, MA 02129, USA. dtuch@mit.edu
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S., Research Support, U.S. Gov't, Non-P.H.S., Research Support, Non-U.S. Gov't