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Cited by in CrossRef
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]
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 Network2022 22nd International Conference on Advances in ICT for Emerging Regions (ICTer) 2022; : 1 doi: 10.1109/ICTer58063.2022.10024076
2
Juhyun Song. Amygdala activity and amygdala-hippocampus connectivity: Metabolic diseases, dementia, and neuropsychiatric issuesBiomedicine & Pharmacotherapy 2023; 162: 114647 doi: 10.1016/j.biopha.2023.114647
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 disordersNeuroMarkers 2025; 2(1): 100032 doi: 10.1016/j.neumar.2024.100032
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 fusionMathematical Biosciences and Engineering 2023; 20(9): 16648 doi: 10.3934/mbe.2023741
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 connectomeCerebral Cortex 2024; 34(1) doi: 10.1093/cercor/bhad450
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 ImagingMedicina 2025; 61(1): 130 doi: 10.3390/medicina61010130
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 LearningIEEE Access 2026; 14: 18491 doi: 10.1109/ACCESS.2026.3656732
8
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 diseaseNeuroImage: Clinical 2023; 38: 103374 doi: 10.1016/j.nicl.2023.103374
9
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 learnersScientific Reports 2025; 15(1) doi: 10.1038/s41598-025-86110-y
10
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 agingJournal of Alzheimer’s Disease 2026;  doi: 10.1177/13872877261431845
11
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 disordersScientific Reports 2025; 15(1) doi: 10.1038/s41598-025-02583-x
12
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 colitisFrontiers in Medicine 2024; 11 doi: 10.3389/fmed.2024.1468910
13
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 analysisBrain Pathology 2023; 33(5) doi: 10.1111/bpa.13180
14
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-analysisNeuropsychologia 2024; 204: 109006 doi: 10.1016/j.neuropsychologia.2024.109006
15
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 ReviewDementia and Geriatric Cognitive Disorders 2025; 54(4): 255 doi: 10.1159/000543160
16
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 impairmentJournal of Neurology 2024; 271(8): 5460 doi: 10.1007/s00415-024-12500-3