| Computer # |
| 3897.
 | 33 | Investigation the relationship between cerebral small veins and microbleeds using 7T QSM in Alzheimer’s disease Laya Ashouri1, Sema Yildiz2, Felisha Ma2, Bradley N Delman2, Priti Balchandani2, and Akbar Alipour2
1Urmia University of Medical Science, Urmia, Iran (Islamic Republic of), 2Icahn School of Medicine at Mount Sinai, New York, NY, United States Keywords: Alzheimer's Disease, Alzheimer's Disease Motivation: Cerebral microbleeds (CMBs) are small hypointense lesions often associated with cerebral small vessel diseases like cerebral amyloid angiopathy and Alzheimer's disease (AD). Goal(s): Our aim is to evaluate the feasibility of using ultra-high resolution QSM at 7T MRI to find a link between small veins and CMBs in AD. Approach: We used 7T QSM to established a connection between CMBs and the venous vasculature to evaluate venous contributions to AD conditions. Results: Our data support the notion that CMBs might not exclusively derive from arteries, but that venous contribution could play an important, yet not much explored, role in CMBs in AD cohorts. Impact: Our results provide evidence of a potential connection between CMBs and small veins, suggesting a potential role for veins in AD. |
| 3898.
 | 34 | Brain age pre-training for prediction of Alzheimer’s disease diagnosis and mild cognitive impairment progression Kim-Ngan Nguyen1,2, Trevor Wei Kiat Tan1,2,3,4,5, Chen Zhang1,2,4,5, Ru Kong1,2,4,5, Susan F Cheng1,2,3,4, Fang Ji1,2, Joanna Su Xian Chong1,2, Eddie Jun Yi Chong6,7, Narayanaswamy Venketasubramanian8, Christopher Chen6,7,9, Juan Helen Zhou1,2,3,4, and B. T. Thomas Yeo1,2,3,4,5
1Centre for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore, 2Centre for Translational MR Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore, 3Integrative Sciences and Engineering Programme (ISEP), National University of Singapore, Singapore, Singapore, 4Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore, 5N.1 Institute for Health & Institute for Digital Medicine (WisDM), National University of Singapore, Singapore, Singapore, 6Memory, Aging and Cognition Centre, National University Health System, Singapore, Singapore, 7Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore, 8Raffles Neuroscience Centre, Raffles Hospital, Singapore, Singapore, 9Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore Keywords: Alzheimer's Disease, Brain, transfer learning, pretrain, AD diagnosis, MCI progression, stable progressive MCI Motivation: Literature suggests large multisite brain age pre-trained models (indirect models) hold significant promise for downstream prediction on small clinical samples via transfer learning. Goal(s): Our goal was to determine if such indirect models indeed outperform models trained-from-scratch (direct models), across varying training and validation set sizes, on two clinical prediction tasks: Alzheimer’s disease (AD) diagnosis, and mild cognitive impairment (MCI) progression. Approach: State-of-the-art brain age model pre-trained on n=53,542 diverse dataset was used as initialization for indirect models. Results: For AD Diagnosis, Direct model significantly outperformed feature extracted indirect model starting from 400 training and validation samples or more. Impact: The 400-training-and-validation-samples threshold encourages clinical institutions with limited computing resources and small sample sizes (n<400) to feature extract the brain age pre-trained model instead of training from scratch, potentially lowering healthcare costs and speeding up Alzheimer’s disease diagnosis and prognosis. |
| 3899.
 | 35 | Thalamic Subnuclear Volumetry for Early Detection of Alzheimer's Disease in Postmenopausal Women Gwang-Won Kim1, Kwangsung Park2, Yun-Hyeon Kim3, and Gwang-Woo Jeong3
1Advanced Institute of Aging Science, Chonnam National University, Gwangju, Korea, Republic of, 2Department of Urology, Chonnam National University Medical School, Gwangju, Korea, Republic of, 3Department of Radiology, Chonnam National University Medical School, Gwangju, Korea, Republic of Keywords: Alzheimer's Disease, Alzheimer's Disease, Aging Motivation: Women are at a heightened risk of Alzheimer's disease (AD) compared to men. Also, AD and aging are intrinsically interconnected to each other and are mediated by molecular, cellular and biological system. Goal(s): This study aimed to evaluate volume changes of the subcortical regions including the thalamic subnuclei in women with AD vs. postmenopausal women. Approach: Twenty-five thalamic subnuclei were extracted extracted from each hemisphere of the subject's T1 image. Results: Our findings suggest that reduced volume in both the right laterodorsal thalamic nucleus and right hippocampus could represent a key biomarker for predicting early stage of AD in postmenopausal women. Impact: These
findings may be helpful for a better understanding of AD pathogenesis and also for
providing an objective target for early interventions to prevent AD. |
| 3900.
 | 36 | Dynamic Changes in Automatic Generated Quantitative Biomarkers and Correlation with Pathology of Alzheimer’s Disease – A Longitudinal Study Xiang Fan1, Yuan Cai2, Wanting Liu2, Lin Shi2, and Vincent C.T. Mok2
1Peking University Shenzhen Hospital, Shenzhen, China, 2The Chinese University of Hong Kong, Hong Kong, China Keywords: Alzheimer's Disease, Alzheimer's Disease Motivation: AD-RAI is a novel MRI-based machine-learning derived biomarker and the value of longitudinal AD-RAI remains unclear. Goal(s): We aimed to assess longitudinal changes of the MRI biomarkers (i.e., AD-RAI, HV, HF, BPV, BPF) in correlation with change in time and conversion status with and without A+T+. Approach: We selected 168 CU and MCI in ADNI with four-year follow-up with serial MRI scans and corresponding CSF and used linear mixed-effects models to estimate and compare. Results: AD-RAI of subjects with A+T+ increased significantly faster than non-A+T+ over time and AD-RAI has the potential to track CSF Aβ1–42 as an effective longitudinal surrogate biomarker. Impact: If the serial AD-RAI change over time is associated with conversion status and AD pathologies. It may be used as a surrogate marker for monitoring disease progression or treatment response in AD. |
| 3901.
 | 37 | Insights into neurodegeneration in Alzheimer’s disease from regional Aβ aggregation, iron level, and gene expression in postmortem human brain Junye Yao1,2, Zhenghao Li3, Zihan Zhou1,4, Aimin Bao5, Jianhui Zhong6, Hongjiang Wei3, and Hongjian He1,7,8
1Center for Brain Imaging Science and Technology, Zhejiang University, Hangzhou, China, 2College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China, 3School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 4Stanford University Graduate School of Education, Department of Radiology, Standford University, Stanford, CA, United States, 5National Human Brain Bank for Health and Disease, School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou, China, 6Department of Imaging Sciences, University of Rochester, Rochester, NY, United States, 7School of Physics, Zhejiang University, Hangzhou, China, 8State Key Laboratory of Brain-Machine Intelligence, Zhejiang University, Hangzhou, China Keywords: Alzheimer's Disease, Alzheimer's Disease Motivation: Quantifying Aβ in patients with Alzheimer's disease poses a challenge due to the colocalization of Aβ accumulation and iron deposition. Goal(s): Our goal was to simultaneously quantify Aβ and iron in ex-vivo human brains affected by AD. Approach: We used a novel subvoxel QSM method to measure Aβ and iron levels. The gene transcriptomic profiles were further investigated using PLS and ontological analysis. Results: Regions with higher diamagnetic and paramagnetic susceptibility were found higher levels of gene expression relating to the protein modification process and metal ion binding, as well as a relative abundance of exCA and glutamatergic neurons. Impact: The
quantification of diamagnetic and paramagnetic susceptibility via APART-QSM
can offer valuable insights into regional-specific vulnerabilities in Alzheimer’s
disease, particularly those related to Aβ
aggregation and iron
accumulation. This can aid clinicians to better find therapeutic targets. |
| 3902.
 | 38 | Microstructure Informed Susceptibility Source Separation (MI-SSS) Reveals Demyelination in Alzheimer’s Disease Mert Şişman1,2, Thanh D. Nguyen2, Liangdong Zhou2, Pascal Spincemaille2, Yi Li2, Mony J. de Leon2, Gloria C. Chiang2, and Yi Wang2,3
1Electrical and Computer Engineering, Cornell University, Ithaca, NY, United States, 2Department of Radiology, Weill Cornell Medicine, New York, NY, United States, 3Biomedical Engineering, Cornell University, Ithaca, NY, United States Keywords: Alzheimer's Disease, White Matter, Microstructure Motivation: Alzheimer’s Disease (AD) is the leading cause of dementia and the pathogenesis of AD is not well understood. Microstructural changes such as demyelination is known to be involved in AD progression and can noninvasive estimation of myelin content can help us better understand AD. Goal(s): The aim of this study is to show MI-SSS potential in detection myelination changes in AD. Approach: AD patient negative susceptibility content is compared with that in healthy subjects on both region and voxel level. Results: MI-SSS demonstrated significantly lower negative susceptibility content in AD patients signaling AD pathology related demyelination. Impact: Noninvasive imaging of brain microstructure may help to better
understand pathological changes in Alzheimer’s Disease. Microstructure Informed
Susceptibility Source Separation (MI-SSS) provides important information about
the brain microstructure such as myelin content that can easily be adopted in
clinical settings. |
| 3903.
 | 39 | Cerebral blood and CSF flow dynamics in preclinical Alzheimer’s Leonardo A Rivera Rivera1, Tomas Vikner1,2, Laura Eisenmenger1, Sterling C Johnson1, and Kevin M Johnson1
1University of Wisconsin-Madison, Madison, WI, United States, 2Umeå University, Umeå, Sweden Keywords: Alzheimer's Disease, Alzheimer's Disease Motivation: Cardiac driven CSF flow might play an important role in brain metabolite waste clearance. Comorbid cerebrovascular disease is common in Alzheimer’s disease and could lead to impaired CSF flow motion and waste clearance. Goal(s): We aimed to characterize the associations between blood and CSF flow dynamics during preclinical AD. Approach: Cognitively unimpaired participants underwent multi-delay (MD) ASL, and high- and low-velocity encoded 4D-Flow for the assessment of blood and CSF flow. AD pathology including amyloid and tau were determined from [11C]-PiB and [18F]-MK6240 PET. Results: Blood flow pulsatility and CSF flow velocities were positively correlated and significantly higher in AD biomarker positive. Impact: This work helps elucidate the coupling
between blood and CSF flow during preclinical Alzheimer’s disease (AD), improving
our understanding of neurofluids dynamics in AD. This information might help study
brain clearance pathways which are hypothesized to be impaired in AD. |
| 3904.
 | 40 | Quantitative Imaging Report Framework for the Cleveland Alzheimer’s Disease Research Center (CADRC) Neuroimaging Core (NIC) Jian Lin1, Ken Sakaie1, Wanyong Shin1, Katherine A Koenig1, Dan Ma2, Sehong Oh1,3, Sally Durgerian1, Ajay Nemani1, Jagan Pillai1, Brian Appleby2, Alan Lerner2, James Leverenz1, and Mark J Lowe1
1The Cleveland Clinic, Cleveland, OH, United States, 2Case Western Reserve University, Cleveland, OH, United States, 3Hanku University of Foreign Studies, Seoul, Korea, Republic of Keywords: Alzheimer's Disease, Quantitative Imaging, Neurodegeneration Motivation: We have developed an approach to provide a quantitative summary of regional brain measures from an advanced imaging protocol in AD and ADRD subjects as part of the CADRC’s Neuroimaging Core. Goal(s): To establish a panel of advanced imaging markers that will supplement data acquired by the ADRC network. Approach: Structural, functional and quantitative imaging has been implemented, along with procedures for quality assurance and summary outcome measures. Results: 86 subjects have been scanned to date, including those with normal cognition, mild cognitive impairment (MCI) and dementia. Subtypes of impairment include typical and atypical AD, dementia with lewy bodies (DLB).
Impact: Although AD is the most common cause of dementia, related and overlapping dementias are common. An inclusive approach to both recruitment and imaging have been implemented to explore new tools for informing patient care in dementia. |
| 3905.
 | 41 | Effect of diagnostic and genetic status on the relationship between rs-fMRI complexity and tau & amyloid PET in Alzheimer’s disease. Kay Jann1, Steven Cen2, Mariella Santos3, Dilmini Wijesinghe1, Ru Zhang1, John M Ringman2, and Danny JJ Wang1
1USC Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, United States, 2Department of Neurology, University of Southern California, Los Angeles, CA, United States, 3Department of Public Health, California State University Fullerton, Fullerton, CA, United States Keywords: Alzheimer's Disease, Alzheimer's Disease, fMRI (resting state), Complexity, Amyloid, Tau, APOE4 Motivation: Decreased brain function in Alzheimer’s Disease can be assessed by complexity of resting-state fMRI. Specifically, in precuneus and medial temporal lobe rsfMRI-complexity is reduced in MCI and AD and negatively associated with tau-PET uptake. However, its association with amyloid deposition or effects of genetic characteristics (APOE4) remains unknown. Goal(s): To investigate the association between rsfMRI-complexity, tau-PET and amyloid-PET as well as influence of APOE4 status. Approach: Multivariate linear models assessing rsfMRI-complexity, tau-PET, amyloid-PET and APOE4 in select regions of interest. Results: rsfMRI-complexity shows a strong significant inverse relationship with tau but not amyloid and APOE4 increases this effect. Impact: We show that rsfMRI-complexity shows a strong association with tau but not amyloid deposition and that genetic risk in form of APOE4 strengthens this effect. Thus rsfMRI-complexity adds a novel tool to investigate impaired brain functionality in AD progression. |
| 3906.
 | 42 | Quantification of Tau in the Piriform Cortex in AD using MR-PET Hossein Moein Taghavi1, Mahta Karimpoor1, Eric van Staalduinen1, Samantha Leventis1, Christina B Young2, Mackenzie Carlson2, Hillary Vossler2, Guido Davidzon1, America Romero2, Alexandra Trelle2, Jarrett Rosenberg1, Victor Henderson2, Greg Zaharchuk1, Kathleen L Poston2, Marios Georgiadis1, Elizabeth Mormino2,3, and Michael Zeineh1
1Department of Radiology, Stanford University School of Medicine, Stanford, CA, United States, 2Department of Neurology, Stanford University School of Medicine, Stanford, CA, United States, 3Wu Tsai Neuroscience Institute, Stanford University, Stanford, CA, United States Keywords: Alzheimer's Disease, Alzheimer's Disease, MR-PET Motivation: Olfactory dysfunction can be an early sign of Alzheimer’s disease (AD), but involvement of primary olfactory piriform cortex in AD pathology is unknown. Goal(s): We use Tau MR-PET to compare piriform cortex uptake to the adjacent medial temporal lobe across the progression of AD pathology. Approach: Using PI-2620 Tau MR-PET, we manually segmented and computed piriform tau compared to automatically segmented medial temporal uptake in amyloid negative/positive healthy controls, mild cognitive impairment, and AD subjects. Results: Piriform tau uptake increases ordinally with disease severity and is significantly different higher in amyloid positive compared to negative controls. Impact: We
show early increases in piriform cortex tau uptake that closely track adjacent
medial temporal regions. This not only explains deficits in olfaction early in
AD but opens the door to more sensitive testing and comprehensive detection of neurodegeneration. |
| 3907.
 | 43 | In vivo microstructural mapping of the hippocampus in older adults with familial risk for Alzheimer’s disease Alfie Wearn1, Stéfanie A. Tremblay2,3, Ilana R. Leppert4, Giulia Baracchini1, Colleen Hughes1, Gary R. Turner5, Claudine Gauthier2,3, Christine L. Tardif1,6,7, and R. Nathan Spreng1,6,8,9
1Montreal Neurological Institute, McGill University, Montreal, QC, Canada, 2Department of Physics, Concordia University, Montreal, QC, Canada, 3Montreal Heart Institute, Montreal, QC, Canada, 4McGill University, Montreal, QC, Canada, 5Department of Psychology, York University, Toronto, ON, Canada, 6McConnell Brain Imaging Centre, McGill University, Montreal, QC, Canada, 7Department of Biomedical Engineering, McGill University, Montreal, QC, Canada, 8Douglas Mental Health University Institute, Montreal, QC, Canada, 9Departments of Psychology and Psychiatry, McGill University, Montreal, QC, Canada Keywords: Alzheimer's Disease, Quantitative Imaging, Hippocampus, Microstructure Motivation: Understanding prodromal Alzheimer’s disease is essential for treatment development. Hippocampal volume loss indicates significant atrophy and may occur too late to slow disease progression. Goal(s): We aimed to precisely map spatial variation in hippocampal microstructure in vivo using quantitative MRI in prodromal AD. Approach: We use multiparametric quantitative MRI to comprehensively map hippocampal microstructure in healthy older adults with first-degree family history of Alzheimer’s disease and correlate maps with demographic risk factors for Alzheimer's disease. Results: We identified two key contributors of microstructural variation (myelin content and free water). We revealed localized age-related demyelination and sex differences in hippocampal proton density. Impact: This research provides crucial insights into age-related hippocampal microstructural changes and their implications for Alzheimer's disease. It has the potential to advance early detection and intervention strategies, ultimately improving patient outcomes in Alzheimer's disease management. |
| 3908.
 | 44 | A Longitudinal Study of Functional Brain Complexity in Progressive Alzheimer's Diseases Ru Zhang1, Leon Aksman1, Dilmini Wijesinghe1, John M. Ringman2, Danny J.J. Wang1, and Kay Jann1
1Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States, 2Memory and Aging Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States Keywords: Alzheimer's Disease, Alzheimer's Disease, Complexity analysis, longitudinal study, mild cognitive impairment Motivation: Complexity is generally reduced in mild cognitive impairment (MCI) and Alzheimer's disease (AD) than cognitive normal (CN) in cross-sectional cohorts. However, the trajectory of complexity in AD progression remains unknown. Goal(s): To investigate longitudinal changes in resting-state fMRI (rsfMRI)-complexity in AD progression. Approach: A linear mixed-effects model was implemented to investigate the main effects of Group and Group-by-time interactions. Results: rsfMRI-complexity was reduced in the MCItoAD group (those converted from MCI to AD) relative to the CN group. The CNtoMCI group (those converted from CN to MCI) showed the most pronounced rsfMRI-complexity decline over time. Impact: fMRI-complexity as a novel marker for Alzheimer's disease (AD) progression remains poorly understood although cross-sectional studies indicated reduced complexity relative to healthy aging. Our study demonstrates longitudinal changes in AD-related fMRI-complexity, indicating its potential as an early AD biomarker. |
| 3909.
 | 45 | Potential MRI and PET imaging patterns of decreased Alzheimer's-disease pathological protein clearance in patients with cognitive impairment HaoLin Yin1, ZIHAO LU1, CHAO ZUO1, HAORAN XU1, XIAOHE TIAN1, and QIYONG GONG1
1Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, ChengDu, China Keywords: Alzheimer's Disease, Neurodegeneration, CSF clearance, Choroid plexus Motivation: Impaired Alzheimer's disease (AD) pathological protein clearance plays a critical role in the progression of cognitive impairment. Goal(s): To explore whether microscale abnormalities in clearance pathways exhibit macroscopic imaging patterns. Approach: Data collection was performed, and quantitative features were calculated for intergroup differences and correlation analysis. Results: The specific imaging patterns represented by choroid plexus and its associated alterations are associated with increased brain AD pathological protein burden and decreased clearance capacity of the glymphatic system. Impact: This study provides a novel perspective on the decreased clearance capacity of amyloid-beta and tau proteins in cognitively impaired patients' brains. The discovery of distinct imaging patterns aids in accurate diagnosis, treatment, and deepens our understanding of Alzheimer's disease mechanisms. |
| 3910.
 | 46 | Transcriptional level and neurotransmitter systems associate with brain abnormalities across Alzheimer's disease spectrum: a meta-analysis Xinyue Tang1, Ying Wang2, and Wei Cui3
1Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China, Guangzhou, China, 2The First Affiliated Hospital of Jinan University, Guangzhou, China, 3MR Research,GE Healthcare, Beijing, China Keywords: Alzheimer's Disease, Alzheimer's Disease, subjective cognitive decline, mild cognitive impairment, amplitude of low-frequency fluctuation/fractional amplitude of low-frequency fluctuation, cortical thickness Motivation: Numerous neuroimaging studies have reported that Alzheimer's disease and preclinical AD have been linked to alterations in the amplitude of low-frequency fluctuation /fractional ALFF and cortical thickness of some brain areas. Goal(s): However, the findings have been inconsistent and the correlation with the transcriptional profile and neurotransmitter systems remain largely unknown. Approach: We conducted a meta-analysis to identify multimodal differences in ALFF/fALFF and CT in patients with AD and preclinical AD, using the Seed-based d Mapping with Permutation of Subject Images software. Results: Overlapping meta analysis showed that patients with AD displayed decreased ALFF/fALFF and CT in the left PCC. Impact: These findings may provide different insights into the pathophysiology of AD spectrum. |
| 3911.
 | 47 | MR fingerprinting for quantification of brain amyloid burden: from development to prospective multi-site external validation Shohei Fujita1,2,3,4, Yasutaka Fushimi5, Yujiro Otsuka1,6,7, Katsutoshi Murata8, Guido Buonincontri9, Gregor Koerzdoerfer10, Mathias Nittka9, Issei Fukunaga1, Kaito Takabayashi1, Yumiko Motoi11,12, Madoka Nakajima12,13, Koji Murakami14, Atsushi Shima15, Manabu Kubota16, Berkin Bilgic3,4,17, Koji Kamagata1, Nobukatsu Sawamoto18, Osamu Abe2, Yuji Nakamoto5, and Shigeki Aoki1
1Dept. of Radiology, Juntendo University, Tokyo, Japan, 2Dept. of Radiology, The University of Tokyo, Tokyo, Japan, 3Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States, 4Dept. of Radiology, Harvard Medical School, Boston, MA, United States, 5Dept. of Diagnostic Imaging and Nuclear Medicine, Kyoto University, Kyoto, Japan, 6Milliman Inc, Tokyo, Japan, 7Plusman LLC, Tokyo, Japan, 8Siemens Healthcare Japan KK, Tokyo, Japan, 9Siemens Healthcare GmbH, Erlangen, Germany, 10Siemens Medical Solutions, New York, NY, United States, 11Dept. of Neurology, Juntendo University, Tokyo, Japan, 1212. Medical Center for Dementia, Juntendo University, Tokyo, Japan, 13Dept. of Neurosurgery, Juntendo University, Tokyo, Japan, 14Division of Nuclear Medicine, Dept. of Radiology, Juntendo University, Tokyo, Japan, 15Department of Regenerative Systems Neuroscience, Human Brain Research Center, Kyoto University, Kyoto, Japan, 16Dept. of Psychiatry, Kyoto University, Kyoto, Japan, 17Harvard/MIT Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States, 18Dept. of Human Health Sciences, Kyoto University, Kyoto, Japan Keywords: Alzheimer's Disease, Alzheimer's Disease, Biomarker Motivation: A non-invasive amyloid beta (Aβ) imaging technique is needed for objective diagnosis and treatment monitoring of Alzheimer’s disease. Goal(s): To develop and validate an MRF-based method quantifying brain Aβ. Approach: A framework with efficient MRF data acquisition, neural network decoding, and atlas-based segmentation was implemented. A prospective analysis was conducted on external dataset to evaluate its generalizability, repeatability, and correlation with Aβ-PET measurements and clinical cognitive function tests. Results: The method showed high repeatability (CV<2%), significant correlation with Aβ-PET measurements and Montreal Cognitive Assessment test (p=0.015 and 0.020, respectively), and discriminated subject-level Aβ positivity with an AUC of 0.84 on external test set. Impact: The proposed framework is compatible with clinical 3T MRI and offers ‘one-stop’ examination in 10 minutes for patients with cognitive decline by providing structural MRI and Aβ-quantification. Its non-invasive nature facilitates longitudinal evaluation and correlates with Aβ-PET and cognitive function. |
| 3912.
 | 48 | Evaluation of the relation between tau protein and white matter structural changes in Alzheimer's disease using fixel-based analysis Takafumi Kitagawa1,2, Koji Kamagata1, Wataru Uchida1, Keigo Yamazaki1,3, Kaito Takabayashi1, Yuya Saito1, Christina Andica1,4, Akifumi Hagiwara1, Toshiaki Akashi1, Katsuhiro Sano1, Akihiko Wada1, and Shigeki Aoki1,2,4
1Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan, 2Department of Data Science, Juntendo University Graduate School of Medicine, Tokyo, Japan, 3Department of Radiological Sciences, Graduate School of Human Health Sciences, Tokyo Metropolitan University, Tokyo, Japan, 4Faculty of Health Data Science, Juntendo University, Chiba, Japan Keywords: Alzheimer's Disease, Alzheimer's Disease Motivation: Studies have suggested that tau deposition-induced neurotoxicity causes progressive white matter (WM) degeneration in Alzheimer's disease (AD) and its prodromal phase; however, this is not yet fully elucidated. Goal(s): To employ fixel-based analysis (FBA) to assess tau-related WM degeneration and its effect to cognitive function. Approach: The WM integrity and cortical tau load were compared across AD, mild cognitive impairment, and cognitive normal subjects using FBA and tau PET. Results: FBA metrics in WM under highly tau-deposited cortex were downward with higher effect sizes in patients. An association between entorhinal tau and cognitive function was mediated by FBA metrics in the parahippocampal cingulum. Impact: Our findings suggest the possibility that neurons were degenerated through prion-like tau propagation along axons and may shed light on future research on mechanisms of cognitive decline in Alzheimer's disease. |