19457358

Source:http://linkedlifedata.com/resource/pubmed/id/19457358

Download in:

Switch to

Custom View

Named Graph Language Inference

Statements in which the resource exists as a subject.
Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0024489, umls-concept:C0026336, umls-concept:C0026339, umls-concept:C0439780
pubmed:issue	1
pubmed:dateCreated	2009-5-25
pubmed:abstractText	We investigated four key aspects of forward models for distributed solutions to the MEG inverse problem: 1) the nature of the cortical mesh constraining sources (derived from an individual's MRI, or inverse-normalised from a template mesh); 2) the use of single-sphere, overlapping spheres, or Boundary Element Model (BEM) head-models; 3) the density of the cortical mesh (3000 vs. 7000 vertices); and 4) whether source orientations were constrained to be normal to that mesh. These were compared within the context of two types of spatial prior on the sources: a single prior corresponding to a standard L2-minimum-norm (MNM) inversion, or multiple sparse priors (MSP). The resulting generative models were compared using a free-energy approximation to the Bayesian model-evidence after fitting multiple epochs of responses to faces or scrambled faces. Statistical tests of the free-energy, across nine participants, showed clear superiority of MSP over MNM models; with the former reconstructing deeper sources. Furthermore, there was 1) no evidence that an individually-defined cortical mesh was superior to an inverse-normalised canonical mesh, but 2) clear evidence that a BEM was superior to spherical head-models, provided individually-defined inner skull and scalp meshes were used. Finally, for MSP models, there was evidence that the combination of 3) higher density cortical meshes and 4) dipoles constrained to be normal to the mesh was superior to lower-density or freely-oriented sources (in contrast to the MNM models, in which free-orientation was optimal). These results have practical implications for MEG source reconstruction, particularly in the context of group studies.
pubmed:grant	http://linkedlifedata.com/resource/pubmed/grant/U.1055.05.012.00001.01(79226), http://linkedlifedata.com/resource/pubmed/grant/WBSEU.1055.05.012.00001.01
pubmed:commentsCorrections	http://linkedlifedata.com/resource/pubmed/commentcorrection/19457358-10070792, http://linkedlifedata.com/resource/pubmed/commentcorrection/19457358-10097460, http://linkedlifedata.com/resource/pubmed/commentcorrection/19457358-10450888, http://linkedlifedata.com/resource/pubmed/commentcorrection/19457358-10619420, http://linkedlifedata.com/resource/pubmed/commentcorrection/19457358-12816895, http://linkedlifedata.com/resource/pubmed/commentcorrection/19457358-15050585, http://linkedlifedata.com/resource/pubmed/commentcorrection/19457358-15670677, http://linkedlifedata.com/resource/pubmed/commentcorrection/19457358-15822814, http://linkedlifedata.com/resource/pubmed/commentcorrection/19457358-15955494, http://linkedlifedata.com/resource/pubmed/commentcorrection/19457358-16082624, http://linkedlifedata.com/resource/pubmed/commentcorrection/19457358-16453291, http://linkedlifedata.com/resource/pubmed/commentcorrection/19457358-16798082, http://linkedlifedata.com/resource/pubmed/commentcorrection/19457358-17055746, http://linkedlifedata.com/resource/pubmed/commentcorrection/19457358-17888687, http://linkedlifedata.com/resource/pubmed/commentcorrection/19457358-17997111, http://linkedlifedata.com/resource/pubmed/commentcorrection/19457358-18602278, http://linkedlifedata.com/resource/pubmed/commentcorrection/19457358-18639641, http://linkedlifedata.com/resource/pubmed/commentcorrection/19457358-19162203, http://linkedlifedata.com/resource/pubmed/commentcorrection/19457358-3823129, http://linkedlifedata.com/resource/pubmed/commentcorrection/19457358-3975600
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/9215515
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:month	May
pubmed:issn	1095-9572
pubmed:author	pubmed-author:FristonK JKJ, pubmed-author:HensonR NRN, pubmed-author:MattoutJJ, pubmed-author:PhillipsCC
pubmed:issnType	Electronic
pubmed:day	15
pubmed:volume	46
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	168-76
pubmed:dateRevised	2010-9-24
pubmed:meshHeading	pubmed-meshheading:19457358-Bayes Theorem, pubmed-meshheading:19457358-Brain, pubmed-meshheading:19457358-Humans, pubmed-meshheading:19457358-Magnetoencephalography, pubmed-meshheading:19457358-Models, Neurological, pubmed-meshheading:19457358-Signal Processing, Computer-Assisted
pubmed:year	2009
pubmed:articleTitle	Selecting forward models for MEG source-reconstruction using model-evidence.
pubmed:affiliation	MRC Cognition and Brain Sciences Unit, Cambridge, England, UK. rik.henson@mrc-cbu.cam.ac.uk
pubmed:publicationType	Journal Article, Research Support, Non-U.S. Gov't