Associations of depression and regional brain structure across the adult lifespan: Pooled analyses of six population-based and two clinical cohort studies in the European Lifebrain consortium
Objective: Major depressive disorder has been associated with lower prefrontal thickness and hippocampal volume, but it is unknown whether this association also holds for depressive symptoms in the general population. We investigated associations of depressive symptoms and depression status with bra...
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| Format: | Article |
| Language: | English |
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Elsevier
2022-01-01
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| Series: | NeuroImage: Clinical |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2213158222002455 |
| _version_ | 1811274342860849152 |
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| author | Julia Binnewies Laura Nawijn Andreas M. Brandmaier William F.C. Baaré David Bartrés-Faz Christian A. Drevon Sandra Düzel Anders M. Fjell Laura K.M. Han Ethan Knights Ulman Lindenberger Yuri Milaneschi Athanasia M. Mowinckel Lars Nyberg Anna Plachti Kathrine Skak Madsen Cristina Solé-Padullés Sana Suri Kristine B. Walhovd Enikő Zsoldos Klaus P. Ebmeier Brenda W.J.H. Penninx |
| author_facet | Julia Binnewies Laura Nawijn Andreas M. Brandmaier William F.C. Baaré David Bartrés-Faz Christian A. Drevon Sandra Düzel Anders M. Fjell Laura K.M. Han Ethan Knights Ulman Lindenberger Yuri Milaneschi Athanasia M. Mowinckel Lars Nyberg Anna Plachti Kathrine Skak Madsen Cristina Solé-Padullés Sana Suri Kristine B. Walhovd Enikő Zsoldos Klaus P. Ebmeier Brenda W.J.H. Penninx |
| author_sort | Julia Binnewies |
| collection | DOAJ |
| description | Objective: Major depressive disorder has been associated with lower prefrontal thickness and hippocampal volume, but it is unknown whether this association also holds for depressive symptoms in the general population. We investigated associations of depressive symptoms and depression status with brain structures across population-based and patient-control cohorts, and explored whether these associations are similar over the lifespan and across sexes. Methods: We included 3,447 participants aged 18–89 years from six population-based and two clinical patient-control cohorts of the European Lifebrain consortium. Cross-sectional meta-analyses using individual person data were performed for associations of depressive symptoms and depression status with FreeSurfer-derived thickness of bilateral rostral anterior cingulate cortex (rACC) and medial orbitofrontal cortex (mOFC), and hippocampal and total grey matter volume (GMV), separately for population-based and clinical cohorts. Results: Across patient-control cohorts, depressive symptoms and presence of mild-to-severe depression were associated with lower mOFC thickness (rsymptoms = −0.15/ rstatus = −0.22), rACC thickness (rsymptoms = −0.20/ rstatus = −0.25), hippocampal volume (rsymptoms = −0.13/ rstatus = 0.13) and total GMV (rsymptoms = −0.21/ rstatus = −0.25). Effect sizes were slightly larger for presence of moderate-to-severe depression. Associations were similar across age groups and sex. Across population-based cohorts, no associations between depression and brain structures were observed. Conclusions: Fitting with previous meta-analyses, depressive symptoms and depression status were associated with lower mOFC, rACC thickness, and hippocampal and total grey matter volume in clinical patient-control cohorts, although effect sizes were small. The absence of consistent associations in population-based cohorts with mostly mild depressive symptoms, suggests that significantly lower thickness and volume of the studied brain structures are only detectable in clinical populations with more severe depressive symptoms. |
| first_indexed | 2024-04-12T23:17:20Z |
| format | Article |
| id | doaj.art-6a01eebdc8044d1fae1cef5863ef7416 |
| institution | Directory Open Access Journal |
| issn | 2213-1582 |
| language | English |
| last_indexed | 2024-04-12T23:17:20Z |
| publishDate | 2022-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage: Clinical |
| spelling | doaj.art-6a01eebdc8044d1fae1cef5863ef74162022-12-22T03:12:39ZengElsevierNeuroImage: Clinical2213-15822022-01-0136103180Associations of depression and regional brain structure across the adult lifespan: Pooled analyses of six population-based and two clinical cohort studies in the European Lifebrain consortiumJulia Binnewies0Laura Nawijn1Andreas M. Brandmaier2William F.C. Baaré3David Bartrés-Faz4Christian A. Drevon5Sandra Düzel6Anders M. Fjell7Laura K.M. Han8Ethan Knights9Ulman Lindenberger10Yuri Milaneschi11Athanasia M. Mowinckel12Lars Nyberg13Anna Plachti14Kathrine Skak Madsen15Cristina Solé-Padullés16Sana Suri17Kristine B. Walhovd18Enikő Zsoldos19Klaus P. Ebmeier20Brenda W.J.H. Penninx21Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep & Stress Program, Amsterdam, The Netherlands; Corresponding author.Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep & Stress Program, Amsterdam, The NetherlandsCenter for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany; Max Planck, UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany; Department of Psychology, MSB Medical School Berlin, Berlin, GermanyDanish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital – Amager and Hvidovre, Copenhagen, DenmarkDepartament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona and Institut de Neurociències, Universitat de Barcelona, SpainDepartment of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo & Vitas Ltd, Oslo Science Park, Oslo, NorwayCenter for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany; Max Planck, UCL Centre for Computational Psychiatry and Ageing Research, Berlin, GermanyCenter for Lifespan Changes in Brain and Cognition, University of Oslo, Norway; Department of Radiology and Nuclear Medicine, Oslo University Hospital, NorwayCentre for Youth Mental Health, The University of Melbourne, Parkville, VIC, AustraliaMRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, United KingdomCenter for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany; Max Planck, UCL Centre for Computational Psychiatry and Ageing Research, Berlin, GermanyAmsterdam UMC Location Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep & Stress Program, Amsterdam, The NetherlandsCenter for Lifespan Changes in Brain and Cognition, University of Oslo, NorwayUmeå Center for Functional Brain Imaging, Umeå University, Umeå, SwedenDanish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital – Amager and Hvidovre, Copenhagen, DenmarkDanish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital – Amager and Hvidovre, Copenhagen, Denmark; Radiography, Department of Technology, University College Copenhagen, Copenhagen, DenmarkDepartament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona and Institut de Neurociències, Universitat de Barcelona, SpainWellcome Centre for Integrative Neuroimaging, University of Oxford, United Kingdom; Department of Psychiatry, University of Oxford, United KingdomCenter for Lifespan Changes in Brain and Cognition, University of Oslo, Norway; Department of Radiology and Nuclear Medicine, Oslo University Hospital, NorwayWellcome Centre for Integrative Neuroimaging, University of Oxford, United Kingdom; Department of Psychiatry, University of Oxford, United KingdomDepartment of Psychiatry, University of Oxford, United KingdomAmsterdam UMC Location Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep & Stress Program, Amsterdam, The NetherlandsObjective: Major depressive disorder has been associated with lower prefrontal thickness and hippocampal volume, but it is unknown whether this association also holds for depressive symptoms in the general population. We investigated associations of depressive symptoms and depression status with brain structures across population-based and patient-control cohorts, and explored whether these associations are similar over the lifespan and across sexes. Methods: We included 3,447 participants aged 18–89 years from six population-based and two clinical patient-control cohorts of the European Lifebrain consortium. Cross-sectional meta-analyses using individual person data were performed for associations of depressive symptoms and depression status with FreeSurfer-derived thickness of bilateral rostral anterior cingulate cortex (rACC) and medial orbitofrontal cortex (mOFC), and hippocampal and total grey matter volume (GMV), separately for population-based and clinical cohorts. Results: Across patient-control cohorts, depressive symptoms and presence of mild-to-severe depression were associated with lower mOFC thickness (rsymptoms = −0.15/ rstatus = −0.22), rACC thickness (rsymptoms = −0.20/ rstatus = −0.25), hippocampal volume (rsymptoms = −0.13/ rstatus = 0.13) and total GMV (rsymptoms = −0.21/ rstatus = −0.25). Effect sizes were slightly larger for presence of moderate-to-severe depression. Associations were similar across age groups and sex. Across population-based cohorts, no associations between depression and brain structures were observed. Conclusions: Fitting with previous meta-analyses, depressive symptoms and depression status were associated with lower mOFC, rACC thickness, and hippocampal and total grey matter volume in clinical patient-control cohorts, although effect sizes were small. The absence of consistent associations in population-based cohorts with mostly mild depressive symptoms, suggests that significantly lower thickness and volume of the studied brain structures are only detectable in clinical populations with more severe depressive symptoms.http://www.sciencedirect.com/science/article/pii/S2213158222002455NeuroimagingDepressive symptomsMeta-analysisLifespanGrey matterBrain structure |
| spellingShingle | Julia Binnewies Laura Nawijn Andreas M. Brandmaier William F.C. Baaré David Bartrés-Faz Christian A. Drevon Sandra Düzel Anders M. Fjell Laura K.M. Han Ethan Knights Ulman Lindenberger Yuri Milaneschi Athanasia M. Mowinckel Lars Nyberg Anna Plachti Kathrine Skak Madsen Cristina Solé-Padullés Sana Suri Kristine B. Walhovd Enikő Zsoldos Klaus P. Ebmeier Brenda W.J.H. Penninx Associations of depression and regional brain structure across the adult lifespan: Pooled analyses of six population-based and two clinical cohort studies in the European Lifebrain consortium NeuroImage: Clinical Neuroimaging Depressive symptoms Meta-analysis Lifespan Grey matter Brain structure |
| title | Associations of depression and regional brain structure across the adult lifespan: Pooled analyses of six population-based and two clinical cohort studies in the European Lifebrain consortium |
| title_full | Associations of depression and regional brain structure across the adult lifespan: Pooled analyses of six population-based and two clinical cohort studies in the European Lifebrain consortium |
| title_fullStr | Associations of depression and regional brain structure across the adult lifespan: Pooled analyses of six population-based and two clinical cohort studies in the European Lifebrain consortium |
| title_full_unstemmed | Associations of depression and regional brain structure across the adult lifespan: Pooled analyses of six population-based and two clinical cohort studies in the European Lifebrain consortium |
| title_short | Associations of depression and regional brain structure across the adult lifespan: Pooled analyses of six population-based and two clinical cohort studies in the European Lifebrain consortium |
| title_sort | associations of depression and regional brain structure across the adult lifespan pooled analyses of six population based and two clinical cohort studies in the european lifebrain consortium |
| topic | Neuroimaging Depressive symptoms Meta-analysis Lifespan Grey matter Brain structure |
| url | http://www.sciencedirect.com/science/article/pii/S2213158222002455 |
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