Hippocampal atrophy in neurofunctional subfields in insomnia individuals
ObjectiveThe aim of this study was to investigate the pattern of volume changes in neurofunctional hippocampal subfields in patients with insomnia and their associations with risk of development of insomnia.MethodsA total of 120 patients with insomnia (78 females, 42 males; mean age ± standard devia...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-10-01
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| Series: | Frontiers in Neurology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fneur.2022.1014244/full |
| _version_ | 1828142177311522816 |
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| author | Yang Yang Wei Liang Yongjun Wang Dechang Peng Liang Gong Na Wang Zhongjie Huang Weikang Yang |
| author_facet | Yang Yang Wei Liang Yongjun Wang Dechang Peng Liang Gong Na Wang Zhongjie Huang Weikang Yang |
| author_sort | Yang Yang |
| collection | DOAJ |
| description | ObjectiveThe aim of this study was to investigate the pattern of volume changes in neurofunctional hippocampal subfields in patients with insomnia and their associations with risk of development of insomnia.MethodsA total of 120 patients with insomnia (78 females, 42 males; mean age ± standard deviation, 43.74 ± 13.02 years) and 120 good sleepers (67 females, 53 males; mean age, 42.69 ± 12.24 years) were recruited. The left hippocampus was segmented into anterior (L1), middle (L2), and posterior (L3) subregions. The right hippocampus was segmented into top anterior (R1), second top anterior (R2), middle (R3), posterior (R4), and last posterior (R5) subregions. Multivariate logistic regression was used to evaluate the associations of hippocampal volume (HV) of each subfield with the risk of the development of insomnia. Mediation analyses were performed to evaluate mediated associations among post-insomnia negative emotion, insomnia severity, and HV atrophy. A visual easy-to-deploy risk nomogram was used for individual prediction of risk of development of insomnia.ResultsHippocampal volume atrophy was identified in the L1, R1, and R2 subregions. L1 and R2 volume atrophy each predisposed to an ~3-fold higher risk of insomnia (L1, odds ratio: 2.90, 95% confidence intervals: [1.24, 6.76], p = 0.014; R2, 2.72 [1.19, 6.20], p = 0.018). Anxiety fully mediates the causal path of insomnia severity leading to R1 volume atrophy with a positive effect. We developed a practical and visual competing risk-nomogram tool for individual prediction of insomnia risk, which stratifies individuals into different levels of insomnia risk with the highest prediction accuracy of 97.4% and an average C-statistic of 0.83.ConclusionHippocampal atrophy in specific neurofunctional subfields was not only found to be associated with insomnia but also a significant risk factor predicting development of insomnia. |
| first_indexed | 2024-04-11T19:37:29Z |
| format | Article |
| id | doaj.art-9b03708d661b4db0a14da331562a7373 |
| institution | Directory Open Access Journal |
| issn | 1664-2295 |
| language | English |
| last_indexed | 2024-04-11T19:37:29Z |
| publishDate | 2022-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neurology |
| spelling | doaj.art-9b03708d661b4db0a14da331562a73732022-12-22T04:06:48ZengFrontiers Media S.A.Frontiers in Neurology1664-22952022-10-011310.3389/fneur.2022.10142441014244Hippocampal atrophy in neurofunctional subfields in insomnia individualsYang Yang0Wei Liang1Yongjun Wang2Dechang Peng3Liang Gong4Na Wang5Zhongjie Huang6Weikang Yang7Department of Radiology, Suining Central Hospital, Suining, ChinaShenzhen Mental Health Centre, Shenzhen Kangning Hospital, Shenzhen, ChinaShenzhen Mental Health Centre, Shenzhen Kangning Hospital, Shenzhen, ChinaDepartment of Radiology, The First Affiliated Hospital of Nanchang University, Nanchang, ChinaDepartment of Neurology, Chengdu Second People's Hospital, Chengdu, ChinaShenzhen Mental Health Centre, Shenzhen Kangning Hospital, Shenzhen, ChinaDepartment of Radiology, Shenzhen Longhua Maternity and Child Healthcare Hospital, Shenzhen, ChinaDepartment of Prevention and Healthcare, Shenzhen Longhua Maternity and Child Healthcare Hospital, Shenzhen, ChinaObjectiveThe aim of this study was to investigate the pattern of volume changes in neurofunctional hippocampal subfields in patients with insomnia and their associations with risk of development of insomnia.MethodsA total of 120 patients with insomnia (78 females, 42 males; mean age ± standard deviation, 43.74 ± 13.02 years) and 120 good sleepers (67 females, 53 males; mean age, 42.69 ± 12.24 years) were recruited. The left hippocampus was segmented into anterior (L1), middle (L2), and posterior (L3) subregions. The right hippocampus was segmented into top anterior (R1), second top anterior (R2), middle (R3), posterior (R4), and last posterior (R5) subregions. Multivariate logistic regression was used to evaluate the associations of hippocampal volume (HV) of each subfield with the risk of the development of insomnia. Mediation analyses were performed to evaluate mediated associations among post-insomnia negative emotion, insomnia severity, and HV atrophy. A visual easy-to-deploy risk nomogram was used for individual prediction of risk of development of insomnia.ResultsHippocampal volume atrophy was identified in the L1, R1, and R2 subregions. L1 and R2 volume atrophy each predisposed to an ~3-fold higher risk of insomnia (L1, odds ratio: 2.90, 95% confidence intervals: [1.24, 6.76], p = 0.014; R2, 2.72 [1.19, 6.20], p = 0.018). Anxiety fully mediates the causal path of insomnia severity leading to R1 volume atrophy with a positive effect. We developed a practical and visual competing risk-nomogram tool for individual prediction of insomnia risk, which stratifies individuals into different levels of insomnia risk with the highest prediction accuracy of 97.4% and an average C-statistic of 0.83.ConclusionHippocampal atrophy in specific neurofunctional subfields was not only found to be associated with insomnia but also a significant risk factor predicting development of insomnia.https://www.frontiersin.org/articles/10.3389/fneur.2022.1014244/fullinsomniahippocampusvoxel-based morphometrynomogrammediation |
| spellingShingle | Yang Yang Wei Liang Yongjun Wang Dechang Peng Liang Gong Na Wang Zhongjie Huang Weikang Yang Hippocampal atrophy in neurofunctional subfields in insomnia individuals Frontiers in Neurology insomnia hippocampus voxel-based morphometry nomogram mediation |
| title | Hippocampal atrophy in neurofunctional subfields in insomnia individuals |
| title_full | Hippocampal atrophy in neurofunctional subfields in insomnia individuals |
| title_fullStr | Hippocampal atrophy in neurofunctional subfields in insomnia individuals |
| title_full_unstemmed | Hippocampal atrophy in neurofunctional subfields in insomnia individuals |
| title_short | Hippocampal atrophy in neurofunctional subfields in insomnia individuals |
| title_sort | hippocampal atrophy in neurofunctional subfields in insomnia individuals |
| topic | insomnia hippocampus voxel-based morphometry nomogram mediation |
| url | https://www.frontiersin.org/articles/10.3389/fneur.2022.1014244/full |
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