| For: | Wang DW, Ding SL, Bian XL, Zhou SY, Yang H, Wang P. Diagnostic value of amygdala volume on structural magnetic resonance imaging in Alzheimer’s disease. World J Clin Cases 2021; 9(18): 4627-4636 [PMID: 34222429 DOI: 10.12998/wjcc.v9.i18.4627] |
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| URL: | https://www.wjgnet.com/2307-8960/full/v9/i18/4627.htm |
| Number | Citing Articles |
| 1 |
S. Subaramya, T. Kokul, R. Nagulan, U.A.J. Pinidiyaarachchi. Graph Neural Network based Alzheimer’s Disease Classification using Structural Brain Network. 2022 22nd International Conference on Advances in ICT for Emerging Regions (ICTer) 2022; doi: 10.1109/ICTer58063.2022.10024076
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| 2 |
Juhyun Song. Amygdala activity and amygdala-hippocampus connectivity: Metabolic diseases, dementia, and neuropsychiatric issues. Biomedicine & Pharmacotherapy 2023; 162 doi: 10.1016/j.biopha.2023.114647
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| 3 |
Gonzalo Flores, Sebastian Reyes-Lizaola, Leonardo Aguilar-Hernández, Alicia Gil-Velazco, Hiram Tendilla-Beltrán, Julio C. Morales-Medina. Role of the amygdala and possible biomarkers in psychiatric disorders. NeuroMarkers 2025; 2(1) doi: 10.1016/j.neumar.2024.100032
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| 4 |
Wei Yin, Tao Yang, GuangYu Wan, Xiong Zhou. Identification of image genetic biomarkers of Alzheimer's disease by orthogonal structured sparse canonical correlation analysis based on a diagnostic information fusion. Mathematical Biosciences and Engineering 2023; 20(9) doi: 10.3934/mbe.2023741
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| 5 |
Xiaowen Xu, Peiying Chen, Weikai Li, Yongsheng Xiang, Zhongfeng Xie, Qiang Yu, Ying Tang, Peijun Wang. Topological properties analysis and identification of mild cognitive impairment based on individual morphological brain network connectome. Cerebral Cortex 2024; 34(1) doi: 10.1093/cercor/bhad450
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| 6 |
Evija Peiseniece, Nauris Zdanovskis, Kristīne Šneidere, Andrejs Kostiks, Guntis Karelis, Ardis Platkājis, Ainārs Stepens. Amygdala Nuclei Atrophy in Cognitive Impairment and Dementia: Insights from High-Resolution Magnetic Resonance Imaging. Medicina 2025; 61(1) doi: 10.3390/medicina61010130
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| 7 |
Areeba Tanveer, Hunaina Ehsan, Zainab Kashif, Shah Khalid, Hafiz Syed Muhammad Bilal, Nazia Perwaiz, Saied Alshahrani. Toward Early Alzheimer’s Diagnosis: A Fusion of Cognitive and Genetic Data via Ensemble Learning. IEEE Access 2026; 14 doi: 10.1109/ACCESS.2026.3656732
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| 8 |
Deniz Senol, Yusuf Secgin, Seren Kaya, Oguzhan Ozturk, Oguzhan Harmandaoglu. Comparison of hippocampus, entorhinal cortex, and amygdala volumes in individuals with Alzheimer's disease, mild cognitive impairment, and healthy individuals. Journal of Alzheimer’s Disease 2026; doi: 10.1177/13872877261450574
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| 9 |
Kaitlin M. Stouffer, Claire Chen, Sue Kulason, Eileen Xu, Menno P. Witter, Can Ceritoglu, Marilyn S. Albert, Susumu Mori, Juan Troncoso, Daniel J. Tward, Michael I. Miller. Early amygdala and ERC atrophy linked to 3D reconstruction of rostral neurofibrillary tau tangle pathology in Alzheimer’s disease. NeuroImage: Clinical 2023; 38 doi: 10.1016/j.nicl.2023.103374
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| 10 |
Misgina Tsighe Hagos, Kathleen M. Curran, Brian Mac Namee. Reducing inference cost of Alzheimer’s disease identification using an uncertainty-aware ensemble of uni-modal and multi-modal learners. Scientific Reports 2025; 15(1) doi: 10.1038/s41598-025-86110-y
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| 11 |
Xue Wei, Tongtong Li, Ni Yang, Kaiqiang Xu, Taowen Ren, Hongmin Cai, Zhijun Yao, Yu Fu, Bin Hu. Distinct morphological patterns of the hippocampus and amygdala in normal and pathological aging. Journal of Alzheimer’s Disease 2026; 111(1) doi: 10.1177/13872877261431845
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| 12 |
Masaya Hane, Ayane Naramura, Kaito Hayakawa, Chikara Abe, Takahiro Nakagawa, Itaru Kushima, Soma Furukawa, Yuki Fukami, Keisuke Ikegami, Kazumasa Saigoh, Susumu Kusunoki, Masahisa Katsuno, Norio Ozaki, Ken Kitajima, Chihiro Sato. A highly sensitive quantitative method of polysialic acid reveals its unique changes in brain aging and neuropsychiatric disorders. Scientific Reports 2025; 15(1) doi: 10.1038/s41598-025-02583-x
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| 13 |
Jennifer G. Cox, Marius de Groot, Matthew J. Kempton, Steven C. R. Williams, James H. Cole. Comparison of volumetric brain analysis in subjects with rheumatoid arthritis and ulcerative colitis. Frontiers in Medicine 2024; 11 doi: 10.3389/fmed.2024.1468910
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| 14 |
Melania Gonzalez‐Rodriguez, Sandra Villar‐Conde, Veronica Astillero‐Lopez, Patricia Villanueva‐Anguita, Isabel Ubeda‐Banon, Alicia Flores‐Cuadrado, Alino Martinez‐Marcos, Daniel Saiz‐Sanchez. Human amygdala involvement in Alzheimer's disease revealed by stereological and dia‐PASEF analysis. Brain Pathology 2023; 33(5) doi: 10.1111/bpa.13180
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| 15 |
Sara Scarfo, Antonella M.A. Marsella, Loulouda Grigoriadou, Yashar Moshfeghi, William J. McGeown. Neuroanatomical correlates and predictors of psychotic symptoms in Alzheimer's disease: A systematic review and meta-analysis. Neuropsychologia 2024; 204 doi: 10.1016/j.neuropsychologia.2024.109006
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| 16 |
Meghan K. Ramirez, Connor J. Phipps, Daniel L. Murman, Janelle N. Beadle, Vaishali S. Phatak, David E. Warren. Structural Neuroimaging Correlates of Neuropsychiatric Symptoms in Alzheimer’s Disease: A Systematic Literature Review. Dementia and Geriatric Cognitive Disorders 2025; 54(4) doi: 10.1159/000543160
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| 17 |
Sadhana Singh, Palash Kumar Malo, Albert Stezin, Abhishek L. Mensegere, Thomas Gregor Issac. Alteration in amygdala subfield volumes and their association with cognition in mild cognitive impairment. Journal of Neurology 2024; 271(8) doi: 10.1007/s00415-024-12500-3
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