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Bimodal and multivariate analysis linking FDG uptake to BOLD signal at rest: a simultaneous hybrid PET/MR study
휴지기 뇌 포도당 대사와 BOLD 신호 관계에 관한 다중모달리티 다변량 분석법: 하이브리드 PET/MR 연구

DC Field Value Language
dc.contributor.advisor이동수-
dc.contributor.authorEunkyung Kim-
dc.date.accessioned2017-07-14T00:59:39Z-
dc.date.available2017-07-14T00:59:39Z-
dc.date.issued2015-08-
dc.identifier.other000000067104-
dc.identifier.urihttps://hdl.handle.net/10371/121551-
dc.description학위논문 (박사)-- 서울대학교 대학원 : 협동과정 인지과학전공, 2015. 8. 이동수.-
dc.description.abstractGlucose consumption and hemodynamic response to neural activity at rest reflect intrinsic brain function in general. Investigating the relationship between them should be needed to better understand how the brain works. I applied the multivariate partial least squares for investigating the relationship between FDG uptake and BOLD signal at rest (n = 38, mean age 44 ± 13.9 years), as representative measurements for capturing those different aspects of brain function using a hybrid PET/MR scanner. This approach can consider the interdependency between voxels as well as the relationship between modalities. As a result, the relationship which was reproducible by a split-half resampling, was found in brain areas in respect to their functional roles. For example, the FDG uptake and BOLD signal showed positive relationship within the brain regions such as (1) sensory system, and (2) default mode network system. The negative relationship was found between the above regions.
The principal component analysis was also performed to investigate the interregional correlation patterns within modality. The first principal component image of FDG-PET was almost the same to the first singular image of FDG-PET. While, the first and second principal component images of fMRI were similar to the first singular image of fMRI. The first principal component image of fMRI represented the (1) visual system, and (2) default mode network system. The second principal component image of fMRI represented the (1) auditory and motor systems, and (2) default mode network system. The results proved that the interregional correlation patterns derived by the spontaneous ongoing neural activity were divided into the specialized independent systems compared to the interregional correlation patterns derived by the relatively stable FDG uptake.
This present work showed that the relationship between FDG uptake and BOLD signal was changed by age. By applying the partial least squares to the younger adults (n = 19, mean age 32 ± 6.9 years) and older adults groups (n = 19, mean age 56 ± 7.7 years) respectively, the different relationship between FDG uptake and BOLD signal was observed. The changes of brain function due to aging can be observed by the changes of the relationship between FDG uptake and BOLD signal.
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dc.description.tableofcontentsAbstract i
Contents iv
List of Figures vii
List of Tables ix

1. Introduction 1
1.1. Multimodal and multivariate analyses of human brain 1
1.2. The relationship between FDG uptake and BOLD signal of the brain 3
1.3. Investigating relationship between FDG uptake and BOLD signal by bimodal and multivariate PLS 6

2. Materials and Methods 10
2.1. Participants 10
2.2. Images scanning acquisition 12
2.3. Images preprocessing 15
2.3.1. FDG-PET images preprocessing 15
2.3.2. Functional MR images preprocessing 16

2.4. General approach and practical application of the partial least squares analysis 18
2.4.1. Partial least squares analysis ? general approach 18
2.4.1.1. Procedures of partial least squares analysis 18
2.4.1.2. Significance test of singular images by a permutation method 20
2.4.1.3. Cross-validation of singular images by a split-half resampling 21
2.4.2. Partial least squares analysis ? practical approach 28

2.5. Estimating principal component images of FDG-PET and fMRI 30
2.6. Partial least squares analysis applied to the younger adults and older adults groups 31
2.6.1. The effect of age to the significant latent variables 31
2.6.2. Partial least squares analysis 31

3. Results 32
3.1. The relationship between FDG uptake and BOLD signal 32
3.2. The reproducibility of the singular images 35
3.3. The principal component images of the FDG-PET and fMRI 40
3.4. The effect of age to the significant latent variables 46
3.5. The relationship between FDG uptake and BOLD signal in the younger adults and older adults groups 48


4. Discussion 51
4.1. Relationship between FDG uptake and BOLD signal at rest 51
4.2. The association of the singular images with the principal component images of FDG-PET and fMRI 55
4.3. The effect of age to the relationship between FDG uptake and BOLD signal………. 57

5. Conclusion and limitations 60

References 63
국문초록 71
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dc.formatapplication/pdf-
dc.format.extent2790661 bytes-
dc.format.mediumapplication/pdf-
dc.language.isoen-
dc.publisher서울대학교 대학원-
dc.subjectFDG-PET-
dc.subjectrsfMRI-
dc.subjectpartial least squares-
dc.subjectmultimodal-
dc.subjecthybrid PET/MR-
dc.subjectage-
dc.subject.ddc153-
dc.titleBimodal and multivariate analysis linking FDG uptake to BOLD signal at rest: a simultaneous hybrid PET/MR study-
dc.title.alternative휴지기 뇌 포도당 대사와 BOLD 신호 관계에 관한 다중모달리티 다변량 분석법: 하이브리드 PET/MR 연구-
dc.typeThesis-
dc.contributor.AlternativeAuthor김은경-
dc.description.degreeDoctor-
dc.citation.pagesix, 73-
dc.contributor.affiliation인문대학 협동과정 인지과학전공-
dc.date.awarded2015-08-
Appears in Collections:
College of Humanities (인문대학)Program in Cognitive Science (협동과정-인지과학전공)Theses (Ph.D. / Sc.D._협동과정-인지과학전공)
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