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9. Characteristic patterns of inter- and intra-hemispheric metabolic connectivity in patients with stable and progressive mild cognitive impairment and Alzheimer's disease.

Author

Huang, Sheng-Yao, Hsu, Jung-Lung, Lin, Kun-Ju, Liu, Ho-Ling, Wey, Shiaw-Pying, Hsiao, Ing-Tsung, and Alzheimer’s Disease Neuroimaging Initiative

Subjects
Alzheimer’s Disease Neuroimaging Initiative, Brain, Nerve Net, Humans, Alzheimer Disease, Disease Progression, Fluorodeoxyglucose F18, Positron-Emission Tomography, Magnetic Resonance Imaging, Aged, Middle Aged, Female, Male, Connectome, Cognitive Dysfunction, Alzheimer's Disease, Dementia, Brain Disorders, Neurosciences, Clinical Research, Acquired Cognitive Impairment, Neurodegenerative, Alzheimer's Disease including Alzheimer's Disease Related Dementias, Aging, 2.1 Biological and endogenous factors, Neurological, Biochemistry and Cell Biology, Other Physical Sciences
Abstract

The change in hypometabolism affects the regional links in the brain network. Here, to understand the underlying brain metabolic network deficits during the early stage and disease evolution of AD (Alzheimer disease), we applied correlation analysis to identify the metabolic connectivity patterns using 18F-FDG PET data for NC (normal control), sMCI (stable MCI), pMCI (progressive MCI) and AD, and explore the inter- and intra-hemispheric connectivity between anatomically-defined brain regions. Regions extracted from 90 anatomical structures were used to construct the matrix for measuring the inter- and intra-hemispheric connectivity. The brain connectivity patterns from the metabolic network show a decreasing trend of inter- and intra-hemispheric connections for NC, sMCI, pMCI and AD. Connection of temporal to the frontal or occipital regions is a characteristic pattern for conversion of NC to MCI, and the density of links in the parietal-occipital network is a differential pattern between sMCI and pMCI. The reduction pattern of inter and intra-hemispheric brain connectivity in the metabolic network depends on the disease stages, and is with a decreasing trend with respect to disease severity. Both frontal-occipital and parietal-occipital connectivity patterns in the metabolic network using 18F-FDG PET are the key feature for differentiating disease groups in AD.

Published
2018

11. Dominance of Tau Burden in Cortical Over Subcortical Regions Mediates Glymphatic Activity and Clinical Severity in PSP

Author

Beeldverwerking ISI, Brain, Cancer, Hsu, Jung-Lung, Wei, Yi-Chia, Hsiao, Ing-Tsung, Lin, Kun-Ju, Yen, Tzu-Chen, Lu, Chin-Song, Wang, Han-Cheng, Leemans, Alexander, Weng, Yi-Hsin, Huang, Kuo-Lun, Beeldverwerking ISI, Brain, Cancer, Hsu, Jung-Lung, Wei, Yi-Chia, Hsiao, Ing-Tsung, Lin, Kun-Ju, Yen, Tzu-Chen, Lu, Chin-Song, Wang, Han-Cheng, Leemans, Alexander, Weng, Yi-Hsin, and Huang, Kuo-Lun

Published
2024

13. Classification Prediction of Alzheimer’s Disease and Vascular Dementia Using Physiological Data and ECD SPECT Images

Author

Ni, Yu-Ching, primary, Lin, Zhi-Kun, additional, Cheng, Chen-Han, additional, Pai, Ming-Chyi, additional, Chiu, Pai-Yi, additional, Chang, Chiung-Chih, additional, Chang, Ya-Ting, additional, Hung, Guang-Uei, additional, Lin, Kun-Ju, additional, Hsiao, Ing-Tsung, additional, Lin, Chia-Yu, additional, and Yang, Hui-Chieh, additional

Published
2024
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18. Human biodistribution and radiation dosimetry for the tau tracer [18F]Florzolotau in healthy subjects.

Author

Lin, Kun-Ju, Huang, Shao-Yi, Huang, Kuo-Lun, Huang, Chin-Chang, and Hsiao, Ing-Tsung

Subjects
*RADIATION dosimetry, *NEUROFIBRILLARY tangles, *PROGRESSIVE supranuclear palsy, *TAU proteins, *POSITRON emission tomography, *ALZHEIMER'S disease, *GALLBLADDER
Abstract

Background: Tau pathology plays a crucial role in neurodegeneration diseases including Alzheimer's disease (AD) and non-AD diseases such as progressive supranuclear palsy. Tau positron emission tomography (PET) is an in-vivo and non-invasive medical imaging technique for detecting and visualizing tau deposition within a human brain. In this work, we aim to investigate the biodistribution of the dosimetry in the whole body and various organs for the [18F]Florzolotau tau-PET tracer. A total of 12 healthy controls (HCs) were enrolled at Chang Gung Memorial Hospital. All subjects were injected with approximately 379.03 ± 7.03 MBq of [18F]Florzolotau intravenously, and a whole-body PET/CT scan was performed for each subject. For image processing, the VOI for each organ was delineated manually by using the PMOD 3.7 software. Then, the time-activity curve of each organ was acquired by optimally fitting an exponential uptake and clearance model using the least squares method implemented in OLINDA/EXM 2.1 software. The absorbed dose for each target organ and the effective dose were finally calculated. Results: From the biodistribution results, the elimination of [18F]Florzolotau is observed mainly from the liver to the intestine and partially through the kidneys. The highest organ-absorbed dose occurred in the right colon wall (255.83 μSv/MBq), and then in the small intestine (218.67 μSv/MBq), gallbladder wall (151.42 μSv/MBq), left colon wall (93.31 μSv/MBq), and liver (84.15 μSv/MBq). Based on the ICRP103, the final computed effective dose was 34.9 μSv/MBq with CV of 10.07%. Conclusions: The biodistribution study of [18F]Florzolotau demonstrated that the excretion of [18F]Florzolotau are mainly through the hepatobiliary and gastrointestinal pathways. Therefore, a routine injection of 370 MBq or 185 MBq of [18F]Florzolotau leads to an estimated effective dose of 12.92 or 6.46 mSv, and as a result, the radiation exposure to the whole-body and each organ remains within acceptable limits and adheres to established constraints. Trial registration: Retrospectively Registered at Clinicaltrials.gov (NCT03625128) on 12 July, 2018, https://clinicaltrials.gov/study/NCT03625128. [ABSTRACT FROM AUTHOR]

Published
2024
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43. A Brain MRI/SPECT Registration System Using an Adaptive Similarity Metric: Application on the Evaluation of Parkinson’s Disease

Author

Lee, Jiann-Der, Huang, Chung-Hsien, Chen, Cheng-Wei, Weng, Yi-Hsin, Lin, Kun-Ju, Chen, Chin-Tu, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Rangan, C. Pandu, editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Gagalowicz, André, editor, and Philips, Wilfried, editor

Published
2007
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