Mapping grey matter and cortical thickness alterations associated with subjective cognitive decline and mild cognitive impairment among rural-dwelling older adults in China: A population-based study
Background: The structural brain alterations for subjective cognitive decline (SCD) and mild cognitive impairment (MCI) are poorly defined. We sought to characterize grey matter volume (GMV) and cortical thickness associated with SCD and MCI among rural-dwelling older adults in China. Methods: This...
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Elsevier
2024-01-01
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| Series: | NeuroImage: Clinical |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2213158224001323 |
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| author | Ziwei Chen Qianqian Xie Jiafeng Wang Yan Wang Huisi Zhang Chunyan Li Yongxiang Wang Lin Cong Shi Tang Tingting Hou Lin Song Yifeng Du Chengxuan Qiu |
| author_facet | Ziwei Chen Qianqian Xie Jiafeng Wang Yan Wang Huisi Zhang Chunyan Li Yongxiang Wang Lin Cong Shi Tang Tingting Hou Lin Song Yifeng Du Chengxuan Qiu |
| author_sort | Ziwei Chen |
| collection | DOAJ |
| description | Background: The structural brain alterations for subjective cognitive decline (SCD) and mild cognitive impairment (MCI) are poorly defined. We sought to characterize grey matter volume (GMV) and cortical thickness associated with SCD and MCI among rural-dwelling older adults in China. Methods: This population-based cross-sectional study included 1072 dementia-free participants from the brain MRI sub-study of MIND-China (2018–2020). We defined MCI following the Petersen’s criteria, and SCD as the self-rated Ascertain Dementia 8-item Questionnaire score ≥ 2. Data were analyzed using voxel-based morphometry (VBM), surface-based morphometry analysis (SBM), and logistic regression models. Results: SCD was defined in 243 persons and MCI in 246 individuals. The VBM analysis showed that MCI (vs. normal cognition) was significantly associated with reduced GMV in brain regions such as the bilateral parahippocampus, bilateral hippocampus, and bilateral fusiform (P < 0.05), but SCD exhibited no significant differences with normal cognition in GMV (P > 0.05). The ROI-wise SBM analysis revealed that SCD was significantly associated with cortical thinning in the right paracentral sulcus, left caudal middle frontal gyrus, and left entorhinal cortex (P < 0.05) and that MCI was significantly associated with cortical thinning in the left temporal lobe, left frontal lobe, bilateral parietal lobe and bilateral fusiform (P < 0.05). Conclusions: The brain regions with reduced GMV or cortical thickness in older adults gradually expand from normal cognition through SCD to MCI, suggesting that characterizing structural brain alterations may help define the cognitive spectrum at the pre-dementia phase. These findings have potential implications for understanding the neuropathological process of cognitive deterioration in aging. |
| format | Article |
| id | doaj-art-2a70b7f4e33f4fc8bb79f00b1f34b726 |
| institution | DOAJ |
| issn | 2213-1582 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage: Clinical |
| spelling | doaj-art-2a70b7f4e33f4fc8bb79f00b1f34b7262025-08-20T02:49:00ZengElsevierNeuroImage: Clinical2213-15822024-01-014410369110.1016/j.nicl.2024.103691Mapping grey matter and cortical thickness alterations associated with subjective cognitive decline and mild cognitive impairment among rural-dwelling older adults in China: A population-based studyZiwei Chen0Qianqian Xie1Jiafeng Wang2Yan Wang3Huisi Zhang4Chunyan Li5Yongxiang Wang6Lin Cong7Shi Tang8Tingting Hou9Lin Song10Yifeng Du11Chengxuan Qiu12Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, PR ChinaKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, PR ChinaKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, PR ChinaKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, PR ChinaKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, PR ChinaKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, PR ChinaKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, PR China; Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, PR China; Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, PR China; Institute of Brain Science and Brain-Inspired Research, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, PR China; Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, SwedenKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, PR China; Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, PR China; Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, PR ChinaKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, PR China; Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, PR China; Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, PR ChinaKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, PR China; Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, PR China; Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, PR ChinaKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, PR China; Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, PR China; Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, PR China; Corresponding authors.Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, PR China; Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, PR China; Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, PR China; Institute of Brain Science and Brain-Inspired Research, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, PR China; Corresponding authors.Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, PR China; Institute of Brain Science and Brain-Inspired Research, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, PR China; Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, SwedenBackground: The structural brain alterations for subjective cognitive decline (SCD) and mild cognitive impairment (MCI) are poorly defined. We sought to characterize grey matter volume (GMV) and cortical thickness associated with SCD and MCI among rural-dwelling older adults in China. Methods: This population-based cross-sectional study included 1072 dementia-free participants from the brain MRI sub-study of MIND-China (2018–2020). We defined MCI following the Petersen’s criteria, and SCD as the self-rated Ascertain Dementia 8-item Questionnaire score ≥ 2. Data were analyzed using voxel-based morphometry (VBM), surface-based morphometry analysis (SBM), and logistic regression models. Results: SCD was defined in 243 persons and MCI in 246 individuals. The VBM analysis showed that MCI (vs. normal cognition) was significantly associated with reduced GMV in brain regions such as the bilateral parahippocampus, bilateral hippocampus, and bilateral fusiform (P < 0.05), but SCD exhibited no significant differences with normal cognition in GMV (P > 0.05). The ROI-wise SBM analysis revealed that SCD was significantly associated with cortical thinning in the right paracentral sulcus, left caudal middle frontal gyrus, and left entorhinal cortex (P < 0.05) and that MCI was significantly associated with cortical thinning in the left temporal lobe, left frontal lobe, bilateral parietal lobe and bilateral fusiform (P < 0.05). Conclusions: The brain regions with reduced GMV or cortical thickness in older adults gradually expand from normal cognition through SCD to MCI, suggesting that characterizing structural brain alterations may help define the cognitive spectrum at the pre-dementia phase. These findings have potential implications for understanding the neuropathological process of cognitive deterioration in aging.http://www.sciencedirect.com/science/article/pii/S2213158224001323Subjective cognitive declineMild cognitive impairmentRegional brain volumeCortical thicknessMagnetic resonance imagingPopulation-based study |
| spellingShingle | Ziwei Chen Qianqian Xie Jiafeng Wang Yan Wang Huisi Zhang Chunyan Li Yongxiang Wang Lin Cong Shi Tang Tingting Hou Lin Song Yifeng Du Chengxuan Qiu Mapping grey matter and cortical thickness alterations associated with subjective cognitive decline and mild cognitive impairment among rural-dwelling older adults in China: A population-based study NeuroImage: Clinical Subjective cognitive decline Mild cognitive impairment Regional brain volume Cortical thickness Magnetic resonance imaging Population-based study |
| title | Mapping grey matter and cortical thickness alterations associated with subjective cognitive decline and mild cognitive impairment among rural-dwelling older adults in China: A population-based study |
| title_full | Mapping grey matter and cortical thickness alterations associated with subjective cognitive decline and mild cognitive impairment among rural-dwelling older adults in China: A population-based study |
| title_fullStr | Mapping grey matter and cortical thickness alterations associated with subjective cognitive decline and mild cognitive impairment among rural-dwelling older adults in China: A population-based study |
| title_full_unstemmed | Mapping grey matter and cortical thickness alterations associated with subjective cognitive decline and mild cognitive impairment among rural-dwelling older adults in China: A population-based study |
| title_short | Mapping grey matter and cortical thickness alterations associated with subjective cognitive decline and mild cognitive impairment among rural-dwelling older adults in China: A population-based study |
| title_sort | mapping grey matter and cortical thickness alterations associated with subjective cognitive decline and mild cognitive impairment among rural dwelling older adults in china a population based study |
| topic | Subjective cognitive decline Mild cognitive impairment Regional brain volume Cortical thickness Magnetic resonance imaging Population-based study |
| url | http://www.sciencedirect.com/science/article/pii/S2213158224001323 |
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