Xue Liang1, Zhenyu Yin2, Renyuan Liu3, Hui Zhao3, Sichu Wu1, Jiaming Lu1, Zhao Qing1, Yongyue Wei4, Qingxian Yang5, Bin Zhu1, Yun Xu3, Bing Zhang6. 1. Department of Radiology, Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China. 2. Department of Geriatrics, Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China. 3. Department of Neurology, Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China. 4. Department of Biostatistics, School of Public Health, China International Cooperation Center (CICC) of Environment and Human Health, Nanjing Medical University, Nanjing, China. 5. Department of Radiology (Center for NMR Research), The Pennsylvania State University College of Medicine, Hershey, Pennsylvania, USA. 6. Department of Radiology, Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China, zhangbing_nanjing@vip.163.com.
Abstract
PURPOSE: (1) To investigate atrophy patterns of hippocampal subfield volume and Alzheimer's disease (AD)-signature cortical thickness in mild cognitive impairment (MCI) patients; (2) to explore the association between the neuropsychological (NP) and the brain structure in the MCI and older normal cognition group; (3) to determine whether these associations were modified by the apolipoprotein E (APOE) ε4 gene and cognitive status. METHODS: The FreeSurfer software was used for automated segmentation of hippocampal subfields and AD-signature cortical thickness for 22 MCI patients and 23 cognitive normal controls (NC). The volume, cortical thickness, and the neuropsychological scale were compared with two-sample t tests. Linear regression models were used to determine the association between the NP and the brain structure. RESULTS: Compared with the NC group, MCI patients showed a decreased volume of the left presubiculum, subiculum and right CA2_3 and CA4_DG (p < 0.05, FDR corrected). The volume of these regions was positively correlated with NP scores. Of note, these associations depended on the cognitive status but not on the APOE ε4 status. The left subiculum and presubiculum volume were positively correlated with the Montreal Cognitive Assessment (MoCA) scores only in the MCI patients. CONCLUSION: Atrophy of the hippocampal subfields may be a powerful biomarker for MCI in the Chinese population.
PURPOSE: (1) To investigate atrophy patterns of hippocampal subfield volume and Alzheimer's disease (AD)-signature cortical thickness in mild cognitive impairment (MCI) patients; (2) to explore the association between the neuropsychological (NP) and the brain structure in the MCI and older normal cognition group; (3) to determine whether these associations were modified by the apolipoprotein E (APOE) ε4 gene and cognitive status. METHODS: The FreeSurfer software was used for automated segmentation of hippocampal subfields and AD-signature cortical thickness for 22 MCI patients and 23 cognitive normal controls (NC). The volume, cortical thickness, and the neuropsychological scale were compared with two-sample t tests. Linear regression models were used to determine the association between the NP and the brain structure. RESULTS: Compared with the NC group, MCI patients showed a decreased volume of the left presubiculum, subiculum and right CA2_3 and CA4_DG (p < 0.05, FDR corrected). The volume of these regions was positively correlated with NP scores. Of note, these associations depended on the cognitive status but not on the APOE ε4 status. The left subiculum and presubiculum volume were positively correlated with the Montreal Cognitive Assessment (MoCA) scores only in the MCI patients. CONCLUSION:Atrophy of the hippocampal subfields may be a powerful biomarker for MCI in the Chinese population.
Authors: Sonja M Kagerer; Clemens Schroeder; Jiri M G van Bergen; Simon J Schreiner; Rafael Meyer; Stefanie C Steininger; Laetitia Vionnet; Anton F Gietl; Valerie Treyer; Alfred Buck; Klaas P Pruessmann; Christoph Hock; Paul G Unschuld Journal: Front Aging Neurosci Date: 2022-03-03 Impact factor: 5.750
Authors: Philipp G Sämann; Juan Eugenio Iglesias; Boris Gutman; Dominik Grotegerd; Ramona Leenings; Claas Flint; Udo Dannlowski; Emily K Clarke-Rubright; Rajendra A Morey; Theo G M van Erp; Christopher D Whelan; Laura K M Han; Laura S van Velzen; Bo Cao; Jean C Augustinack; Paul M Thompson; Neda Jahanshad; Lianne Schmaal Journal: Hum Brain Mapp Date: 2020-12-27 Impact factor: 5.038