A COMPARISON OF SPATIAL PREDICTION TECHNIQUES FOR AN EXPLORATORY ANALYSIS OF HUMAN CORTICAL MOTOR REPRESENTATIONS
We compare the use of two‐dimensional Laplacian smoothing splines and median polish kriging for an exploratory analysis of spatial data sets. Splines were developed originally for modelling a process with determinstic mean structure, while median polish kriging was developed for predicting a spatial...
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| Veröffentlicht in: | Statistics in medicine 1997-06, Vol.16 (12), p.1337-1355 |
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| creator | McSHANE, LISA MEIER MEIER, KRISTEN L. WASSERMANN, ERIC M. |
| description | We compare the use of two‐dimensional Laplacian smoothing splines and median polish kriging for an exploratory analysis of spatial data sets. Splines were developed originally for modelling a process with determinstic mean structure, while median polish kriging was developed for predicting a spatial random process. We review the fundamentals of both methods, including smoothing parameter selection for splines and variogram estimation and solving the kriging equations for median polish kriging. We demonstrate application of the methods on maps of muscle representations on the human motor cortex (cortical maps). After applying both methods to 20 cortical maps (left and right hemispheres on each of 10 subjects), we compare the fitted surfaces on the basis of predictive ability, aesthetic appeal, and ease of computation. © 1997 by John Wiley & Sons, Ltd. |
| doi_str_mv | 10.1002/(SICI)1097-0258(19970630)16:12<1337::AID-SIM564>3.0.CO;2-W |
| format | Article |
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Med</addtitle><description>We compare the use of two‐dimensional Laplacian smoothing splines and median polish kriging for an exploratory analysis of spatial data sets. Splines were developed originally for modelling a process with determinstic mean structure, while median polish kriging was developed for predicting a spatial random process. We review the fundamentals of both methods, including smoothing parameter selection for splines and variogram estimation and solving the kriging equations for median polish kriging. We demonstrate application of the methods on maps of muscle representations on the human motor cortex (cortical maps). After applying both methods to 20 cortical maps (left and right hemispheres on each of 10 subjects), we compare the fitted surfaces on the basis of predictive ability, aesthetic appeal, and ease of computation. © 1997 by John Wiley & Sons, Ltd.</description><subject>Analysis of Variance</subject><subject>Biological and medical sciences</subject><subject>Brain Mapping - methods</subject><subject>Computer Graphics</subject><subject>Computerized, statistical medical data processing and models in biomedicine</subject><subject>Data Interpretation, Statistical</subject><subject>Dominance, Cerebral - physiology</subject><subject>Humans</subject><subject>Mathematical Computing</subject><subject>Medical sciences</subject><subject>Medical statistics</subject><subject>Models, Statistical</subject><subject>Motor Cortex - physiology</subject><subject>Muscle, Skeletal - innervation</subject><subject>Reproducibility of Results</subject><issn>0277-6715</issn><issn>1097-0258</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1997</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkU9v00AQxS1EVULhIyD5gFB7cNg_9m42ICTXdZqVEm-wHSVFSCPbXUuBpGm9jUq_PWvZ5AIHLjvamTc_Pc1znEuMhhgh8vE8k5G8wEhwD5FgdI6F4IhRdIHZGJPPmFI-HofyysvkPGD-FzpEw0h9It7qhTM4rr10Bohw7jGOg1fOa2N-IIRxQPipcyoIJTzgA-chdCM1X4SpzFTiqombLcJchjN3kcZXMsql7eZxNE3k12WcuROVumHixuvFTKVhrtIb-w1nN5nM2uXpcm6nkUpzGVnGXFmFm8aWlcVJHra07I1zUhdbo9_29cxZTuI8mnozdd1ueZXvY98TpdYM3YpRqUtKC1LVJbWPJkJrznCg6WhUinokgpoxXPGgLGoiRMXqqkQFqumZ86Hj3jf7h4M2j7DbmEpvt8Wd3h8McIF9zn1qhd86YdXsjWl0DffNZlc0z4ARtHkAtHlAe1hoDwt_8gDMABNo8wCweUCXB1BAECkgsLLwd72LQ7nTt0d0H4Cdv-_nhamKbd0Ud9XGHGWEY5_4yMq-d7KnzVY__2XwP_z9017fsXivw2_Mo_51xBfNT2Cc8gBWybWFrdE0XV9CQn8DSGS6nQ</recordid><startdate>19970630</startdate><enddate>19970630</enddate><creator>McSHANE, LISA MEIER</creator><creator>MEIER, KRISTEN L.</creator><creator>WASSERMANN, ERIC M.</creator><general>John Wiley & Sons, Ltd</general><general>Wiley</general><scope>BSCLL</scope><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>19970630</creationdate><title>A COMPARISON OF SPATIAL PREDICTION TECHNIQUES FOR AN EXPLORATORY ANALYSIS OF HUMAN CORTICAL MOTOR REPRESENTATIONS</title><author>McSHANE, LISA MEIER ; MEIER, KRISTEN L. ; WASSERMANN, ERIC M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4414-9bee60d98beb33a2cfb32cfe29ee7615e388b9f895f661c75baf299c6fcb0a0f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1997</creationdate><topic>Analysis of Variance</topic><topic>Biological and medical sciences</topic><topic>Brain Mapping - methods</topic><topic>Computer Graphics</topic><topic>Computerized, statistical medical data processing and models in biomedicine</topic><topic>Data Interpretation, Statistical</topic><topic>Dominance, Cerebral - physiology</topic><topic>Humans</topic><topic>Mathematical Computing</topic><topic>Medical sciences</topic><topic>Medical statistics</topic><topic>Models, Statistical</topic><topic>Motor Cortex - physiology</topic><topic>Muscle, Skeletal - innervation</topic><topic>Reproducibility of Results</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>McSHANE, LISA MEIER</creatorcontrib><creatorcontrib>MEIER, KRISTEN L.</creatorcontrib><creatorcontrib>WASSERMANN, ERIC M.</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Statistics in medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>McSHANE, LISA MEIER</au><au>MEIER, KRISTEN L.</au><au>WASSERMANN, ERIC M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A COMPARISON OF SPATIAL PREDICTION TECHNIQUES FOR AN EXPLORATORY ANALYSIS OF HUMAN CORTICAL MOTOR REPRESENTATIONS</atitle><jtitle>Statistics in medicine</jtitle><addtitle>Statist. Med</addtitle><date>1997-06-30</date><risdate>1997</risdate><volume>16</volume><issue>12</issue><spage>1337</spage><epage>1355</epage><pages>1337-1355</pages><issn>0277-6715</issn><eissn>1097-0258</eissn><abstract>We compare the use of two‐dimensional Laplacian smoothing splines and median polish kriging for an exploratory analysis of spatial data sets. Splines were developed originally for modelling a process with determinstic mean structure, while median polish kriging was developed for predicting a spatial random process. We review the fundamentals of both methods, including smoothing parameter selection for splines and variogram estimation and solving the kriging equations for median polish kriging. We demonstrate application of the methods on maps of muscle representations on the human motor cortex (cortical maps). 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| source | MEDLINE; Wiley Online Library Journals Frontfile Complete |
| subjects | Analysis of Variance Biological and medical sciences Brain Mapping - methods Computer Graphics Computerized, statistical medical data processing and models in biomedicine Data Interpretation, Statistical Dominance, Cerebral - physiology Humans Mathematical Computing Medical sciences Medical statistics Models, Statistical Motor Cortex - physiology Muscle, Skeletal - innervation Reproducibility of Results |
| title | A COMPARISON OF SPATIAL PREDICTION TECHNIQUES FOR AN EXPLORATORY ANALYSIS OF HUMAN CORTICAL MOTOR REPRESENTATIONS |
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