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| 001 | 10475 | ||
| 005 | 20210129210523.0 | ||
| 024 | 7 | _ | |2 pmid |a pmid:20582489 |
| 024 | 7 | _ | |2 pmc |a pmc:PMC2945458 |
| 024 | 7 | _ | |2 DOI |a 10.1007/s12021-010-9074-x |
| 024 | 7 | _ | |2 WOS |a WOS:000282212500004 |
| 024 | 7 | _ | |a altmetric:21804341 |2 altmetric |
| 037 | _ | _ | |a PreJuSER-10475 |
| 041 | _ | _ | |a eng |
| 082 | _ | _ | |a 540 |
| 084 | _ | _ | |2 WoS |a Computer Science, Interdisciplinary Applications |
| 084 | _ | _ | |2 WoS |a Neurosciences |
| 100 | 1 | _ | |0 P:(DE-HGF)0 |a Lancaster, J.L. |b 0 |
| 245 | _ | _ | |a Anatomical Global Spatial Normalization |
| 260 | _ | _ | |a New York, NY |b Springer |c 2010 |
| 300 | _ | _ | |a 171 - 182 |
| 336 | 7 | _ | |a Journal Article |0 PUB:(DE-HGF)16 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
| 336 | 7 | _ | |a article |2 DRIVER |
| 440 | _ | 0 | |0 22124 |a Neuroinformatics |v 8 |x 1539-2791 |
| 500 | _ | _ | |a Research supported by grants from the Human Brain Mapping Project jointly funded by NIMH and NIDA (P20 MH/DA52176), the General Clinical Research Core (HSC19940074H), and NIBIB (K01 EB006395). Additional support was provided through the NIH/National Center for Research Resources through grants P41 RR013642 and U54 RR021813 (Center for Computational Biology (CCB)). Also, support for Cykowski was from F32-DC009116 to MDC (NIH/NIDCD). This work was partly supported by the Initiative and Networking Fund of the Helmholtz Association within the Helmholtz Alliance on Systems Biology (KZ). KA was partly supported by the Bundesministerium fur Bildung und Forschung (01 GW0613, 01GW0771, 01GW0623), and the Deutsche Forschungsgemeinschaft (AM 118/1-2). |
| 520 | _ | _ | |a Anatomical global spatial normalization (aGSN) is presented as a method to scale high-resolution brain images to control for variability in brain size without altering the mean size of other brain structures. Two types of mean preserving scaling methods were investigated, "shape preserving" and "shape standardizing". aGSN was tested by examining 56 brain structures from an adult brain atlas of 40 individuals (LPBA40) before and after normalization, with detailed analyses of cerebral hemispheres, all gyri collectively, cerebellum, brainstem, and left and right caudate, putamen, and hippocampus. Mean sizes of brain structures as measured by volume, distance, and area were preserved and variance reduced for both types of scale factors. An interesting finding was that scale factors derived from each of the ten brain structures were also mean preserving. However, variance was best reduced using whole brain hemispheres as the reference structure, and this reduction was related to its high average correlation with other brain structures. The fractional reduction in variance of structure volumes was directly related to ρ (2), the square of the reference-to-structure correlation coefficient. The average reduction in variance in volumes by aGSN with whole brain hemispheres as the reference structure was approximately 32%. An analytical method was provided to directly convert between conventional and aGSN scale factors to support adaptation of aGSN to popular spatial normalization software packages. |
| 536 | _ | _ | |0 G:(DE-Juel1)FUEK409 |2 G:(DE-HGF) |x 0 |c FUEK409 |a Funktion und Dysfunktion des Nervensystems (FUEK409) |
| 536 | _ | _ | |a BMBF-01GW0613 - Phänomenologie und Neurobiologie seiner Störungen beim hochfunktionalen Autismus (HFA) (BMBF-01GW0613) |0 G:(DE-Juel1)BMBF-01GW0613 |c BMBF-01GW0613 |x 1 |f Phänomenologie und Neurobiologie seiner Störungen beim hochfunktionalen Autismus (HFA) |
| 536 | _ | _ | |a BMBF-01GW0771 - Neuroanatomische Kartierung des frontalen Operculums (BMBF-01GW0771) |0 G:(DE-Juel1)BMBF-01GW0771 |c BMBF-01GW0771 |x 2 |f Neuroanatomische Kartierung des frontalen Operculums |
| 536 | _ | _ | |a BMBF-01GW0623 - Anatomische Basis von Prosodie und Gesang (BMBF-01GW0623) |0 G:(DE-Juel1)BMBF-01GW0623 |c BMBF-01GW0623 |x 3 |f Anatomische Basis von Prosodie und Gesang |
| 536 | _ | _ | |a 89574 - Theory, modelling and simulation (POF2-89574) |0 G:(DE-HGF)POF2-89574 |c POF2-89574 |x 4 |f POF II T |
| 588 | _ | _ | |a Dataset connected to Web of Science, Pubmed |
| 650 | _ | 2 | |2 MeSH |a Adult |
| 650 | _ | 2 | |2 MeSH |a Algorithms |
| 650 | _ | 2 | |2 MeSH |a Brain: anatomy & histology |
| 650 | _ | 2 | |2 MeSH |a Brain: physiology |
| 650 | _ | 2 | |2 MeSH |a Brain Mapping: methods |
| 650 | _ | 2 | |2 MeSH |a Cerebellum: anatomy & histology |
| 650 | _ | 2 | |2 MeSH |a Cerebellum: physiology |
| 650 | _ | 2 | |2 MeSH |a Cerebral Cortex: anatomy & histology |
| 650 | _ | 2 | |2 MeSH |a Cerebral Cortex: physiology |
| 650 | _ | 2 | |2 MeSH |a Computer Simulation: standards |
| 650 | _ | 2 | |2 MeSH |a Female |
| 650 | _ | 2 | |2 MeSH |a Humans |
| 650 | _ | 2 | |2 MeSH |a Image Processing, Computer-Assisted: methods |
| 650 | _ | 2 | |2 MeSH |a Magnetic Resonance Imaging: methods |
| 650 | _ | 2 | |2 MeSH |a Male |
| 650 | _ | 2 | |2 MeSH |a Models, Statistical |
| 650 | _ | 2 | |2 MeSH |a Organ Size: physiology |
| 650 | _ | 2 | |2 MeSH |a Young Adult |
| 650 | _ | 7 | |2 WoSType |a J |
| 653 | 2 | 0 | |2 Author |a Size preservation |
| 653 | 2 | 0 | |2 Author |a Linear distance |
| 653 | 2 | 0 | |2 Author |a Area |
| 653 | 2 | 0 | |2 Author |a Mean volume |
| 653 | 2 | 0 | |2 Author |a aGSN |
| 653 | 2 | 0 | |2 Author |a GSN |
| 653 | 2 | 0 | |2 Author |a Variance |
| 700 | 1 | _ | |0 P:(DE-HGF)0 |a Cykowski, M.D. |b 1 |
| 700 | 1 | _ | |0 P:(DE-HGF)0 |a McKay, D.R. |b 2 |
| 700 | 1 | _ | |0 P:(DE-HGF)0 |a Kochunov, P.V. |b 3 |
| 700 | 1 | _ | |0 P:(DE-HGF)0 |a Fox, P.T. |b 4 |
| 700 | 1 | _ | |0 P:(DE-HGF)0 |a Rogers, W. |b 5 |
| 700 | 1 | _ | |0 P:(DE-HGF)0 |a Toga, A.W. |b 6 |
| 700 | 1 | _ | |0 P:(DE-Juel1)131714 |a Zilles, K. |b 7 |u FZJ |
| 700 | 1 | _ | |0 P:(DE-Juel1)131631 |a Amunts, K. |b 8 |u FZJ |
| 700 | 1 | _ | |0 P:(DE-HGF)0 |a Mazziotta, J. |b 9 |
| 773 | _ | _ | |0 PERI:(DE-600)2099780-2 |a 10.1007/s12021-010-9074-x |g Vol. 8, p. 171 - 182 |p 171 - 182 |q 8<171 - 182 |t Neuroinformatics |v 8 |x 1539-2791 |y 2010 |
| 856 | 7 | _ | |2 Pubmed Central |u http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2945458 |
| 909 | C | O | |o oai:juser.fz-juelich.de:10475 |p VDB |
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| 914 | 1 | _ | |y 2010 |
| 915 | _ | _ | |0 StatID:(DE-HGF)0010 |a JCR/ISI refereed |
| 920 | 1 | _ | |0 I:(DE-Juel1)INM-1-20090406 |k INM-1 |l Strukturelle und funktionelle Organisation des Gehirns |g INM |x 1 |
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