{"created":"2023-05-15T14:49:43.975282+00:00","id":68092,"links":{},"metadata":{"_buckets":{"deposit":"185071fe-8661-4b1f-b71f-27ec9020cff5"},"_deposit":{"created_by":1,"id":"68092","owners":[1],"pid":{"revision_id":0,"type":"depid","value":"68092"},"status":"published"},"_oai":{"id":"oai:repo.qst.go.jp:00068092","sets":["10:28"]},"author_link":["668687","668688","668692","668683","668682","668693","668685","668686","668690","668684","668691","668689"],"item_10005_date_7":{"attribute_name":"発表年月日","attribute_value_mlt":[{"subitem_date_issued_datetime":"2005-06-11","subitem_date_issued_type":"Issued"}]},"item_10005_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"Introduction:Positron emission tomography (PET) is a powerful tool to examine the functional changes of brain using various radiopharmaceuticals by measuring brain metabolism and neuroreceptors. Nonetheless, there have not been suitable image analysis methods to analyze the interaction of multiple parameters of brain other than the classical analysis by placing regions of interests. \nWe developed an objective voxel based image analysis method to depict the areas showing significant correlation with the reference areas among the multiple PET images. We expected to detect the functional correlation of diseased brain which cannot be detected by single tracer analysis.\nMaterials & Methods:Scan data were obtained from nine patients with intractable temporal lobe epilepsy aged 28.8+-11.2 years, 3 men and 6 women after obtaining their written informed consent. 9 patients underwent PET examination with 3 tracers; 18F fluorodeoxyglucose (18F-FDG) to measure cerebral glucose metabolism, 11C-Flumazenil (11C-FMZ) to measure central benzodiazepine receptors (cBDZ-Rs), and (1-methyl-11C)8-dicyclopropylmethyl-1-methyl-3-propylxanthine (11C-MPDX) to measure the adenosine A1 receptor (A1-R). Dynamic PET scans were conducted in 2D mode on Headtome V (Shimadzu Inc. JAPAN) and T1-weighted MR images of the brain were obtained by Magnetom VISION (Siemens, Germany), 1.5 Tesla from all the patients. \nAll PET images were coregistered to patient's own MR images and each MR images were spatially transformed to the template MR image by SPM99. Next, the mesial temporal structure including hippocampus on the focus side was detected from the each MR image as a reference area and a correlation coefficient (Rkxy) between the reference area and each voxel of whole the brain was calculated by equation (1): \nRkxy=Sxy/(Sxx*Syy)1/2...(1) \nwhere, Rkxy is the Peason's correlation coefficient at voxel k in the brain. Sxy, Sxx and Syy represent the covariance value between the mean value intensity in the reference area (xi) and the intensity of voxel k of coregistered PET images (yki), and the variance value of xi and the yki, respectively. We made nine maps showing correlations between FDG PET image and fluctuation in FDG at reference area, FMZ and FDG, MPDX and FDG, FDG and FMZ and so on. \nThe regions statically high correlated with the reference area and of volumes over 25 voxels are detected automatically from the images, and overlaid to MR images to identify anatomical localization. \nResults:FDG and MPDX at the focus, FMZ at contra-lateral to focus, and FDG at lateral temporal lobe positively correlated with FMZ at reference; MPDX at cerebral cortex negatively correlated (Fig). In the Figure, Orange clusters show positive correlation and blue is negative. \nDiscussion:This method was useful in making a synthetic interpretation of multiple PET parameters in relation to epileptic condition. Such objective manipulation of multiple PET parameters may provide new analysis method to investigate the pathophysiology of cerebral disorders.","subitem_description_type":"Abstract"}]},"item_10005_description_6":{"attribute_name":"会議概要(会議名, 開催地, 会期, 主催者等)","attribute_value_mlt":[{"subitem_description":"Brain '05 & BrainPET'05","subitem_description_type":"Other"}]},"item_access_right":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"metadata only access","subitem_access_right_uri":"http://purl.org/coar/access_right/c_14cb"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Takahashi, Ikuma"}],"nameIdentifiers":[{"nameIdentifier":"668682","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Nariai, Tadashi"}],"nameIdentifiers":[{"nameIdentifier":"668683","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Uemura, Koji"}],"nameIdentifiers":[{"nameIdentifier":"668684","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Maehara, Taketoshi"}],"nameIdentifiers":[{"nameIdentifier":"668685","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Ishii, Kenji"}],"nameIdentifiers":[{"nameIdentifier":"668686","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Uchiyama, Akihiko"}],"nameIdentifiers":[{"nameIdentifier":"668687","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Toyama, Hinako"}],"nameIdentifiers":[{"nameIdentifier":"668688","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"高橋 郁磨","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"668689","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"成相 直","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"668690","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"上村 幸司","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"668691","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"石井 賢二","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"668692","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"外山 比南子","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"668693","nameIdentifierScheme":"WEKO"}]}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"conference object","resourceuri":"http://purl.org/coar/resource_type/c_c94f"}]},"item_title":"Visualization of Correlated Neural and Metabolic Functions in Temporal Lobe Epilepsy by a Correlation Analysis with Multiple PET Studies","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Visualization of Correlated Neural and Metabolic Functions in Temporal Lobe Epilepsy by a Correlation Analysis with Multiple PET Studies"}]},"item_type_id":"10005","owner":"1","path":["28"],"pubdate":{"attribute_name":"公開日","attribute_value":"2005-06-22"},"publish_date":"2005-06-22","publish_status":"0","recid":"68092","relation_version_is_last":true,"title":["Visualization of Correlated Neural and Metabolic Functions in Temporal Lobe Epilepsy by a Correlation Analysis with Multiple PET Studies"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2023-05-15T20:30:11.434967+00:00"}