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Evaluation of Brain Metabolic Change by Application of Network-based Analysis with Persistent Homology: [18F]FDG PET Study using a Chronic Cerebral Hypoperfusion Rat Model : 지속성 호몰로지 및 네트워크 기반 분석방법을 적용한 뇌 대사 변화의 평가: 만성뇌혈류감소 백서 모델을 이용한 [18F]FDG 양전자방출단층촬영 연구
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- Authors
- Advisor
- 이동수
- Major
- 융합과학기술대학원 분자의학 및 바이오제약학과
- Issue Date
- 2018-08
- Publisher
- 서울대학교 대학원
- Description
- 학위논문 (박사)-- 서울대학교 대학원 : 융합과학기술대학원 분자의학 및 바이오제약학과, 2018. 8. 이동수.
- Abstract
- Purpose: Bilateral common carotid artery occlusion (BCCAO) in rats is an established animal model for vascular dementia. The conventional analytic method based on regional glucose metabolism and a novel network-based analysis with persistent homology were applied to evaluate brain metabolic change by using small animal PET with 2-deoxy-2-[18F]fluoro-D-glucose (FDG-PET) in BCCAO rat model.
Methods: Wistar rats were divided into three groups: sham, BCCAO, and treated groups. Serial small animal brain FDG-PET scans were obtained at preoperative baseline and postoperative observation period up to 6 months. Two different FDG-PET images obtained under different anesthetic protocols were compared to
investigate effect of prolonged anesthesia on brain metabolism. Visual assessment, conventional quantitative evaluation, and network-based analysis, volume entropy, and permutation test were introduced to evaluate significant change of PET parameters in chronic hypoperfused rat brain and this analytic approach was also
applied to evaluate effect of a therapeutic agent.
Results: Static PET acquisition after awakening showed less decreased regional glucose metabolism than dynamic PET acquisition throughout the whole brain except for cerebellum and brainstem and therefore it was selected as a default PET imaging protocol. All three groups did not show significant difference in inter-regional or temporal [18F]FDG uptake by visual assessment and conventional quantitative analysis. Network-based analysis with persistent homology including correlation matrices, single-linkage matrices, β0 curves, and volume entropy indicated more impaired metabolic connections throughout the whole brain regions in BCCAO group than in baseline and sham groups. Especially, single-linkage distances showed that BCCAO group had significant deterioration of inter-regional brain metabolic connectivity between the right entorhinal cortex and other brain regions compared with sham group. This approach also showed that treated group
had improved metabolic connectivity than BCCAO group and there was significant difference in metabolic connectivity between the left retrosplenial cortex and other brain regions.
Conclusion: Network-based analysis with persistent homology showed higher sensitivity to brain metabolic change than conventional regional glucose metabolism based analysis. This network-based analysis will be a promising approach to evaluate impairment of brain inter-regional connectivity related with a variety of
neurodegenerative diseases and psychiatric disorders.
Keywords: vascular dementia, Bilateral Common Carotid Artery Occlusion (BCCAO), [18F]FDG PET, brain connectivity
- Language
- English
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