Lack of structural brain alterations associated with insomnia : findings from the ENIGMA-Sleep Working Group
© 2023 The Authors. Journal of Sleep Research published by John Wiley & Sons Ltd on behalf of European Sleep Research Society..
Existing neuroimaging studies have reported divergent structural alterations in insomnia disorder (ID). In the present study, we performed a large-scale coordinated meta-analysis by pooling structural brain measures from 1085 subjects (mean [SD] age 50.5 [13.9] years, 50.2% female, 17.4% with insomnia) across three international Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA)-Sleep cohorts. Two sites recruited patients with ID/controls: Freiburg (University of Freiburg Medical Center, Freiburg, Germany) 42/43 and KUMS (Kermanshah University of Medical Sciences, Kermanshah, Iran) 42/49, while the Study of Health in Pomerania (SHIP-Trend, University Medicine Greifswald, Greifswald, Germany) recruited population-based individuals with/without insomnia symptoms 75/662. The influence of insomnia on magnetic resonance imaging-based brain morphometry using an insomnia brain score was then assessed. Within each cohort, we used an ordinary least-squares linear regression to investigate the link between the individual regional cortical and subcortical volumes and the presence of insomnia symptoms. Then, we performed a fixed-effects meta-analysis across cohorts based on the first-level results. For the insomnia brain score, weighted logistic ridge regression was performed on one sample (Freiburg), which separated patients with ID from controls to train a model based on the segmentation measurements. Afterward, the insomnia brain scores were validated using the other two samples. The model was used to predict the log-odds of the subjects with insomnia given individual insomnia-related brain atrophy. After adjusting for multiple comparisons, we did not detect any significant associations between insomnia symptoms and cortical or subcortical volumes, nor could we identify a global insomnia-related brain atrophy pattern. Thus, we observed inconsistent brain morphology differences between individuals with and without insomnia across three independent cohorts. Further large-scale cross-sectional/longitudinal studies using both structural and functional neuroimaging are warranted to decipher the neurobiology of insomnia.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:32 |
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| Enthalten in: |
Journal of sleep research - 32(2023), 5 vom: 23. Okt., Seite e13884 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Weihs, Antoine [VerfasserIn] |
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| Links: |
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| Anmerkungen: |
Date Completed 12.09.2023 Date Revised 14.09.2023 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1111/jsr.13884 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| 245 | 1 | 0 | |a Lack of structural brain alterations associated with insomnia |b findings from the ENIGMA-Sleep Working Group |
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| 520 | |a © 2023 The Authors. Journal of Sleep Research published by John Wiley & Sons Ltd on behalf of European Sleep Research Society. | ||
| 520 | |a Existing neuroimaging studies have reported divergent structural alterations in insomnia disorder (ID). In the present study, we performed a large-scale coordinated meta-analysis by pooling structural brain measures from 1085 subjects (mean [SD] age 50.5 [13.9] years, 50.2% female, 17.4% with insomnia) across three international Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA)-Sleep cohorts. Two sites recruited patients with ID/controls: Freiburg (University of Freiburg Medical Center, Freiburg, Germany) 42/43 and KUMS (Kermanshah University of Medical Sciences, Kermanshah, Iran) 42/49, while the Study of Health in Pomerania (SHIP-Trend, University Medicine Greifswald, Greifswald, Germany) recruited population-based individuals with/without insomnia symptoms 75/662. The influence of insomnia on magnetic resonance imaging-based brain morphometry using an insomnia brain score was then assessed. Within each cohort, we used an ordinary least-squares linear regression to investigate the link between the individual regional cortical and subcortical volumes and the presence of insomnia symptoms. Then, we performed a fixed-effects meta-analysis across cohorts based on the first-level results. For the insomnia brain score, weighted logistic ridge regression was performed on one sample (Freiburg), which separated patients with ID from controls to train a model based on the segmentation measurements. Afterward, the insomnia brain scores were validated using the other two samples. The model was used to predict the log-odds of the subjects with insomnia given individual insomnia-related brain atrophy. After adjusting for multiple comparisons, we did not detect any significant associations between insomnia symptoms and cortical or subcortical volumes, nor could we identify a global insomnia-related brain atrophy pattern. Thus, we observed inconsistent brain morphology differences between individuals with and without insomnia across three independent cohorts. Further large-scale cross-sectional/longitudinal studies using both structural and functional neuroimaging are warranted to decipher the neurobiology of insomnia | ||
| 650 | 4 | |a Meta-Analysis | |
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
| 650 | 4 | |a Research Support, N.I.H., Extramural | |
| 650 | 4 | |a Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA)-sleep | |
| 650 | 4 | |a brain volume | |
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| 650 | 4 | |a meta-analysis | |
| 700 | 1 | |a Frenzel, Stefan |e verfasserin |4 aut | |
| 700 | 1 | |a Bi, Hanwen |e verfasserin |4 aut | |
| 700 | 1 | |a Schiel, Julian E |e verfasserin |4 aut | |
| 700 | 1 | |a Afshani, Mortaza |e verfasserin |4 aut | |
| 700 | 1 | |a Bülow, Robin |e verfasserin |4 aut | |
| 700 | 1 | |a Ewert, Ralf |e verfasserin |4 aut | |
| 700 | 1 | |a Fietze, Ingo |e verfasserin |4 aut | |
| 700 | 1 | |a Hoffstaedter, Felix |e verfasserin |4 aut | |
| 700 | 1 | |a Jahanshad, Neda |e verfasserin |4 aut | |
| 700 | 1 | |a Khazaie, Habibolah |e verfasserin |4 aut | |
| 700 | 1 | |a Riemann, Dieter |e verfasserin |4 aut | |
| 700 | 1 | |a Rostampour, Masoumeh |e verfasserin |4 aut | |
| 700 | 1 | |a Stubbe, Beate |e verfasserin |4 aut | |
| 700 | 1 | |a Thomopoulos, Sophia I |e verfasserin |4 aut | |
| 700 | 1 | |a Thompson, Paul M |e verfasserin |4 aut | |
| 700 | 1 | |a Valk, Sofie L |e verfasserin |4 aut | |
| 700 | 1 | |a Völzke, Henry |e verfasserin |4 aut | |
| 700 | 1 | |a Zarei, Mojtaba |e verfasserin |4 aut | |
| 700 | 1 | |a Eickhoff, Simon B |e verfasserin |4 aut | |
| 700 | 1 | |a Grabe, Hans J |e verfasserin |4 aut | |
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| 700 | 1 | |a Spiegelhalder, Kai |e verfasserin |4 aut | |
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| 700 | 0 | |a Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA)-Sleep Working Group |e verfasserin |4 aut | |
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