| [1] |
World Health Organization. Dementia: Fact sheet [OL]. 2025. https://www.who.int/news-room/fact-sheets/detail/dementia.
|
| [2] |
Jia L, Du Y, Chu L, et al. Prevalence, risk factors, and management of dementia and mild cognitive impairment in adults aged 60 years or older in China: A cross-sectional study[J]. Lancet Public Health, 2020, 5(12): e661-e671.doi:10.1016/s2468-2667(20)30185-7.
|
| [3] |
Graff-Radford J, Yong KXX, Apostolova LG, et al. New insights into atypical Alzheimer's disease in the era of biomarkers[J]. Lancet Neurol, 2021, 20(3): 222-234.doi:10.1016/s1474-4422(20)30440-3.
pmid: 33609479
|
| [4] |
Warren SL, Moustafa AA. Functional magnetic resonance imaging, deep learning, and Alzheimer's disease: A systematic review[J]. J Neuroimaging, 2023, 33(1): 5-18.doi:10.1111/jon.13063.
|
| [5] |
Pini L, Pievani M, Bocchetta M, et al. Brain atrophy in Alzheimer's disease and aging[J]. Ageing Res Rev, 2016, 30: 25-48.doi:10.1016/j.arr.2016.01.002.
pmid: 26827786
|
| [6] |
Chandra A, Dervenoulas G, Politis M. Magnetic resonance imaging in Alzheimer's disease and mild cognitive impairment[J]. J Neurol, 2019, 266(6): 1293-1302.doi:10.1007/s00415-018-9016-3.
pmid: 30120563
|
| [7] |
Wang Y, Li Q, Yao L, et al. Shared and differing functional connectivity abnormalities of the default mode network in mild cognitive impairment and Alzheimer's disease[J]. Cereb Cortex, 2024, 34(3):bhae094.doi:10.1093/cercor/bhae094.
|
| [8] |
Mencarelli L, Torso M, Borghi I, et al. Macro and micro structural preservation of grey matter integrity after 24 weeks of rTMS in Alzheimer's disease patients: A pilot study[J]. Alzheimers Res Ther, 2024, 16(1): 152.doi:10.1186/s13195-024-01501-z.
|
| [9] |
Lazarov O, Gupta M, Kumar P, et al. Memory circuits in dementia: The engram, hippocampal neurogenesis and Alzheimer's disease[J]. Prog Neurobiol, 2024, 236: 102601.doi:10.1016/j.pneurobio.2024.102601.
|
| [10] |
Delli Pizzi S, Franciotti R, Bubbico G, et al. Atrophy of hippocampal subfields and adjacent extrahippocampal structures in dementia with Lewy bodies and Alzheimer's disease[J]. Neurobiol Aging, 2016, 40: 103-109.doi:10.1016/j.neurobiolaging.2016.01.010.
pmid: 26973109
|
| [11] |
Carlesimo GA, Piras F, Orfei MD, et al. Atrophy of presubiculum and subiculum is the earliest hippocampal anatomical marker of Alzheimer's disease[J]. Alzheimers Dement (Amst), 2015, 1(1): 24-32.doi:10.1016/j.dadm.2014.12.001.
pmid: 27239489
|
| [12] |
Zhang J, Xie L, Cheng C, et al. Hippocampal subfield volumes in mild cognitive impairment and alzheimer's disease: A systematic review and meta-analysis[J]. Brain Imaging Behav, 2023, 17(6): 778-793.doi:10.1007/s11682-023-00804-3.
pmid: 37768441
|
| [13] |
Zhou J, Gong L, Liu X, et al. Mendelian randomization in Alzheimer's disease and mild cognitive impairment: Hippocampal volume associations[J]. Neuroscience, 2024, 561: 30-42.doi:10.1016/j.neuroscience.2024.10.007.
pmid: 39368607
|
| [14] |
冯伦伦. 阿尔兹海默症连续体海马亚区体积分析及与认知功能相关性研究[D]. 沈阳: 中国医科大学, 2022.
|
| [15] |
Feng Q, Zhang Z, Dai F, et al. Volumetric alterations of hippocampal and amygdala subfields in Alzheimer's disease[J]. BMC Med Imaging, 2025, 25(1): 378.doi:10.1186/s12880-025-01923-7.
|
| [16] |
Padulo C, Sestieri C, Punzi M, et al. Atrophy of specific amygdala subfields in subjects converting to mild cognitive impairment[J]. Alzheimers Dement (N Y), 2023, 9(4): e12436.doi:10.1002/trc2.12436.
|
| [17] |
Qu H, Ge H, Wang L, et al. Volume changes of hippocampal and amygdala subfields in patients with mild cognitive impairment and Alzheimer's disease[J]. Acta Neurol Belg, 2023, 123(4): 1381-1393.doi:10.1007/s13760-023-02235-9.
pmid: 37043115
|
| [18] |
Hari I, Adeyemi OF, Gowland P, et al. Memory impairment in Amyloidβ-status Alzheimer's disease is associated with a reduction in CA1 and dentate gyrus volume: In vivo MRI at 7T[J]. Neuroimage, 2024, 292: 120607.doi:10.1016/j.neuroimage.2024.120607.
|
| [19] |
张心怡. 基于多模态MRI和PET/CT对阿尔兹海默病海马旁回结构功能变化的比较性研究[D]. 石家庄: 河北医科大学, 2023.
|
| [20] |
Holbrook AJ, Tustison NJ, Marquez F, et al. Anterolateral entorhinal cortex thickness as a new biomarker for early detection of Alzheimer's disease[J]. Alzheimers Dement (Amst), 2020, 12(1): e12068.doi:10.1002/dad2.12068.
|
| [21] |
Han F, Liu X, Mailman RB, et al. Resting-state global brain activity affects early β-amyloid accumulation in default mode network[J]. Nat Commun, 2023, 14(1): 7788.doi:10.1038/s41467-023-43627-y.
|
| [22] |
Du K, Chen P, Zhao K, et al. Impaired time-distance reconfiguration patterns in Alzheimer's disease: A dynamic functional connectivity study with 809 individuals from 7 sites[J]. BMC Bioinformatics, 2022, 23(Suppl 6): 280.doi:10.1186/s12859-022-04776-x.
pmid: 35836122
|
| [23] |
周宇涛. 基于动态时空模型的轻度认知障碍与阿尔兹海默病的识别研究[D]. 天津: 天津大学, 2022.
|
| [24] |
Zhang Y, Xue L, Zhang S, et al. A novel spatiotemporal graph convolutional network framework for functional connectivity biomarkers identification of Alzheimer's disease[J]. Alzheimers Res Ther, 2024, 16(1): 60.doi:10.1186/s13195-024-01425-8.
|
| [25] |
陈瑞音. 基于静息态功能磁共振影像时空特征的阿尔兹海默病早期诊断方法研究[D]. 北京: 北京邮电大学, 2023.
|
| [26] |
徐文龙. 基于多模态脑网络和深度学习的阿尔兹海默症辅助诊断研究[D]. 济南: 山东师范大学, 2025.
|
| [27] |
臧雪峰. 基于结构磁共振成像和深度学习的阿尔兹海默症辅助诊断方法研究[D]. 济南: 山东师范大学, 2025.
|
| [28] |
陈洛, 王正勇, 卿粼波, 等. 基于多模态影像的阿尔兹海默症分类研究[J/OL]. 电子测量技术, 1-9[2026-01-13]. https://link.cnki.net/urlid/11.2175.TN.20250728.1835.004.
|
| [29] |
Jack CR Jr, Bennett DA, Blennow K, et al. NIA-AA Research Framework: Toward a biological definition of Alzheimer's disease[J]. Alzheimers Dement, 2018, 14(4): 535-562.doi:10.1016/j.jalz.2018.02.018.
pmid: 29653606
|
| [30] |
Kale M, Wankhede N, Pawar R, et al. AI-driven innovations in Alzheimer's disease: Integrating early diagnosis, personalized treatment, and prognostic modelling[J]. Ageing Res Rev, 2024, 101: 102497.doi:10.1016/j.arr.2024.102497.
|
| [31] |
McDade EM, Barthélemy NR, Wang G, et al. The relationship of soluble tau species with Alzheimer's disease amyloid plaque removal and tau pathology[J]. Alzheimers Dement, 2025, 21(9): e70689.doi:10.1002/alz.70689.
|
| [32] |
Pan D, Zeng A, Yang B, et al. Deep learning for brain mri confirms patterned pathological progression in Alzheimer's disease[J]. Adv Sci (Weinh), 2023, 10(6): e2204717.doi:10.1002/advs.202204717.
|
| [33] |
Wang J, Huang S, Lan G, et al. Diagnostic accuracy of plasma p-tau217/Aβ42 for Alzheimer's disease in clinical and community cohorts[J]. Alzheimers Dement, 2025, 21(3): e70038.doi:10.1002/alz.70038.
|
| [34] |
Chatterjee P, Pedrini S, Doecke JD, et al. Plasma Aβ42/40 ratio, p-tau181, GFAP, and NfL across the Alzheimer's disease continuum: A cross-sectional and longitudinal study in the AIBL cohort[J]. Alzheimers Dement, 2023, 19(4): 1117-1134.doi:10.1002/alz.12724.
|
| [35] |
Yakoub Y, Ashton NJ, Strikwerda-Brown C, et al. Longitudinal blood biomarker trajectories in preclinical Alzheimer's disease[J]. Alzheimers Dement, 2023, 19(12): 5620-5631.doi:10.1002/alz.13318.
pmid: 37294682
|