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Binnewies J, Nawijn L, Brandmaier AM, Baaré WFC, Boraxbekk CJ, Demnitz N, Drevon CA, Fjell AM, Lindenberger U, Madsen KS, Nyberg L, Topiwala A, Walhovd KB, Ebmeier KP, Penninx BWJH. Lifestyle-related risk factors and their cumulative associations with hippocampal and total grey matter volume across the adult lifespan: A pooled analysis in the European Lifebrain consortium. Brain Res Bull 2023; 200:110692. [PMID: 37336327 DOI: 10.1016/j.brainresbull.2023.110692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 06/16/2023] [Indexed: 06/21/2023]
Abstract
BACKGROUND Lifestyle-related risk factors, such as obesity, physical inactivity, short sleep, smoking and alcohol use, have been associated with low hippocampal and total grey matter volumes (GMV). However, these risk factors have mostly been assessed as separate factors, leaving it unknown if variance explained by these factors is overlapping or additive. We investigated associations of five lifestyle-related factors separately and cumulatively with hippocampal and total GMV, pooled across eight European cohorts. METHODS We included 3838 participants aged 18-90 years from eight cohorts of the European Lifebrain consortium. Using individual person data, we performed cross-sectional meta-analyses on associations of presence of lifestyle-related risk factors separately (overweight/obesity, physical inactivity, short sleep, smoking, high alcohol use) as well as a cumulative unhealthy lifestyle score (counting the number of present lifestyle-related risk factors) with FreeSurfer-derived hippocampal volume and total GMV. Lifestyle-related risk factors were defined according to public health guidelines. RESULTS High alcohol use was associated with lower hippocampal volume (r = -0.10, p = 0.021), and overweight/obesity with lower total GMV (r = -0.09, p = 0.001). Other lifestyle-related risk factors were not significantly associated with hippocampal volume or GMV. The cumulative unhealthy lifestyle score was negatively associated with total GMV (r = -0.08, p = 0.001), but not hippocampal volume (r = -0.01, p = 0.625). CONCLUSIONS This large pooled study confirmed the negative association of some lifestyle-related risk factors with hippocampal volume and GMV, although with small effect sizes. Lifestyle factors should not be seen in isolation as there is evidence that having multiple unhealthy lifestyle factors is associated with a linear reduction in overall brain volume.
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Affiliation(s)
- Julia Binnewies
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep & Stress program, Amsterdam, the Netherlands.
| | - Laura Nawijn
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep & Stress program, Amsterdam, the Netherlands
| | - Andreas M Brandmaier
- Center 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, Germany
| | - William F C Baaré
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark
| | - Carl-Johan Boraxbekk
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark; Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden; Institute for Clinical Medicine, Faculty of Medical and Health Sciences, University of Copenhagen, Copenhagen, Denmark; Institute of Sports Medicine Copenhagen (ISMC) and Department of Neurology, Copenhagen University Hospital Bispebjerg, Copenhagen, Denmark
| | - Naiara Demnitz
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark
| | - Christian A Drevon
- Vitas Ltd. Oslo Science Park & Department of Nutrition, IMB, University of Oslo, Norway
| | - Anders M Fjell
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Norway; Computational Radiology and Artificial Intelligence, Department of Radiology and Nuclear Medicine, Oslo University Hospital, Norway
| | - Ulman Lindenberger
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany; Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany
| | - Kathrine Skak Madsen
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark
| | - Lars Nyberg
- Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden
| | - Anya Topiwala
- Nuffield Department of Population Health, Big Data Institute, University of Oxford, Oxford, United Kingdom
| | - Kristine B Walhovd
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Norway; Computational Radiology and Artificial Intelligence, Department of Radiology and Nuclear Medicine, Oslo University Hospital, Norway
| | - Klaus P Ebmeier
- Department of Psychiatry, University of Oxford, United Kingdom
| | - Brenda W J H Penninx
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep & Stress program, Amsterdam, the Netherlands
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Wagenmakers MJ, Oudega ML, Klaus F, Wing D, Orav G, Han LKM, Binnewies J, Beekman ATF, Veltman DJ, Rhebergen D, van Exel E, Eyler LT, Dols A. BrainAge of patients with severe late-life depression referred for electroconvulsive therapy. J Affect Disord 2023; 330:1-6. [PMID: 36858270 DOI: 10.1016/j.jad.2023.02.047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 01/28/2023] [Accepted: 02/12/2023] [Indexed: 03/03/2023]
Abstract
BACKGROUND Severe depression is associated with accelerated brain aging. BrainAge gap, the difference between predicted and observed BrainAge, was investigated in patients with late-life depression (LLD). We aimed to examine BrainAge gap in LLD and its associations with clinical characteristics indexing LLD chronicity, current severity, prior to electroconvulsive therapy (ECT) and ECT outcome. METHODS Data was analyzed from the Mood Disorders in Elderly treated with Electroconvulsive Therapy (MODECT) study. A previously established BrainAge algorithm (BrainAge R by James Cole, (https://github.com/james-cole/brainageR)) was applied to pre-ECT T1-weighted structural MRI-scans of 42 patients who underwent ECT. RESULTS A BrainAge gap of 1.8 years (SD = 5.5) was observed, Cohen's d = 0.3. No significant associations between BrainAge gap, number of previous episodes, current episode duration, age of onset, depression severity, psychotic symptoms or ECT outcome were observed. LIMITATIONS Limited sample size. CONCLUSIONS Our initial findings suggest an older BrainAge than chronological age in patients with severe LLD referred for ECT, however with high degree of variability and direction of the gap. No associations were found with clinical measures. Larger samples are needed to better understand brain aging and to evaluate the usability of BrainAge gap as potential biomarker of prognosis an treatment-response in LLD. TRIAL REGISTRATION ClinicalTrials.gov identifier: NCT02667353.
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Affiliation(s)
- Margot J Wagenmakers
- GGZ inGeest Specialized Mental Health Care, Psychiatry, Oldenaller 1, 1081 HJ Amsterdam, the Netherlands; Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Psychiatry, De Boelelaan 1117, Amsterdam, the Netherlands; Amsterdam Public Health Research Institute, Mental Health, Amsterdam, the Netherlands; Amsterdam Neuroscience, Mood Anxiety Psychosis Sleep and Stress, Amsterdam, the Netherlands.
| | - Mardien L Oudega
- GGZ inGeest Specialized Mental Health Care, Psychiatry, Oldenaller 1, 1081 HJ Amsterdam, the Netherlands; Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Psychiatry, De Boelelaan 1117, Amsterdam, the Netherlands; Amsterdam Public Health Research Institute, Mental Health, Amsterdam, the Netherlands; Amsterdam Neuroscience, Mood Anxiety Psychosis Sleep and Stress, Amsterdam, the Netherlands
| | - Federica Klaus
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, 8032 Zurich, Switzerland; Department of Psychiatry, University of California San Diego, San Diego, USA
| | - David Wing
- Exercise and Physical Activity Resource Center (EPARC), Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego (UCSD), La Jolla, CA, USA
| | - Gwendolyn Orav
- Department of Psychiatry, University of California San Diego, San Diego, USA
| | - Laura K M Han
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Psychiatry, De Boelelaan 1117, Amsterdam, the Netherlands
| | - Julia Binnewies
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Psychiatry, De Boelelaan 1117, Amsterdam, the Netherlands; Amsterdam Neuroscience, Mood Anxiety Psychosis Sleep and Stress, Amsterdam, the Netherlands
| | - Aartjan T F Beekman
- GGZ inGeest Specialized Mental Health Care, Psychiatry, Oldenaller 1, 1081 HJ Amsterdam, the Netherlands; Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Psychiatry, De Boelelaan 1117, Amsterdam, the Netherlands; Amsterdam Public Health Research Institute, Mental Health, Amsterdam, the Netherlands
| | - Dick J Veltman
- GGZ inGeest Specialized Mental Health Care, Psychiatry, Oldenaller 1, 1081 HJ Amsterdam, the Netherlands; Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Psychiatry, De Boelelaan 1117, Amsterdam, the Netherlands; Amsterdam Neuroscience, Mood Anxiety Psychosis Sleep and Stress, Amsterdam, the Netherlands
| | - Didi Rhebergen
- Amsterdam Public Health Research Institute, Mental Health, Amsterdam, the Netherlands; GGZ Centraal Specialized Menthal Health Care, Amersfoort, the Netherlands
| | - Eric van Exel
- GGZ inGeest Specialized Mental Health Care, Psychiatry, Oldenaller 1, 1081 HJ Amsterdam, the Netherlands; Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Psychiatry, De Boelelaan 1117, Amsterdam, the Netherlands
| | - Lisa T Eyler
- Department of Psychiatry, University of California San Diego, San Diego, USA; Desert-Pacific MIRECC, VA San Diego Healthcare, San Diego, CA, USA
| | - Annemieke Dols
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Psychiatry, De Boelelaan 1117, Amsterdam, the Netherlands; Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands and Amsterdam UMC
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Binnewies J, Nawijn L, Brandmaier AM, Baaré WFC, Bartrés-Faz D, Drevon CA, Düzel S, Fjell AM, Han LKM, Knights E, Lindenberger U, Milaneschi Y, Mowinckel AM, Nyberg L, Plachti A, Madsen KS, Solé-Padullés C, Suri S, Walhovd KB, Zsoldos E, Ebmeier KP, Penninx BWJH. 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 Clin 2022; 36:103180. [PMID: 36088843 PMCID: PMC9467888 DOI: 10.1016/j.nicl.2022.103180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 08/08/2022] [Accepted: 08/30/2022] [Indexed: 12/14/2022]
Abstract
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.
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Affiliation(s)
- Julia Binnewies
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep & Stress Program, Amsterdam, The Netherlands.
| | - Laura Nawijn
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep & Stress Program, Amsterdam, The Netherlands
| | - Andreas M Brandmaier
- Center 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, Germany
| | - William F C Baaré
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark
| | - David Bartrés-Faz
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona and Institut de Neurociències, Universitat de Barcelona, Spain
| | - Christian A Drevon
- Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo & Vitas Ltd, Oslo Science Park, Oslo, Norway
| | - Sandra Düzel
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany; Max Planck, UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany
| | - Anders M Fjell
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Norway; Department of Radiology and Nuclear Medicine, Oslo University Hospital, Norway
| | - Laura K M Han
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Ethan Knights
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom
| | - Ulman Lindenberger
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany; Max Planck, UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany
| | - Yuri Milaneschi
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep & Stress Program, Amsterdam, The Netherlands
| | | | - Lars Nyberg
- Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden
| | - Anna Plachti
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark
| | - Kathrine Skak Madsen
- Danish 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, Denmark
| | - Cristina Solé-Padullés
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona and Institut de Neurociències, Universitat de Barcelona, Spain
| | - Sana Suri
- Wellcome Centre for Integrative Neuroimaging, University of Oxford, United Kingdom; Department of Psychiatry, University of Oxford, United Kingdom
| | - Kristine B Walhovd
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Norway; Department of Radiology and Nuclear Medicine, Oslo University Hospital, Norway
| | - Enikő Zsoldos
- Wellcome Centre for Integrative Neuroimaging, University of Oxford, United Kingdom; Department of Psychiatry, University of Oxford, United Kingdom
| | - Klaus P Ebmeier
- Department of Psychiatry, University of Oxford, United Kingdom
| | - Brenda W J H Penninx
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep & Stress Program, Amsterdam, The Netherlands
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Solé-Padullés C, Macià D, Andersson M, Stiernstedt M, Pudas S, Düzel S, Zsoldos E, Ebmeier KP, Binnewies J, Drevon CA, Brandmaier AM, Mowinckel AM, Fjell AM, Madsen KS, Baaré WFC, Lindenberger U, Nyberg L, Walhovd KB, Bartrés-Faz D. No Association Between Loneliness, Episodic Memory and Hippocampal Volume Change in Young and Healthy Older Adults: A Longitudinal European Multicenter Study. Front Aging Neurosci 2022; 14:795764. [PMID: 35283753 PMCID: PMC8905540 DOI: 10.3389/fnagi.2022.795764] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Accepted: 01/17/2022] [Indexed: 11/30/2022] Open
Abstract
Background Loneliness is most prevalent during adolescence and late life and has been associated with mental health disorders as well as with cognitive decline during aging. Associations between longitudinal measures of loneliness and verbal episodic memory and brain structure should thus be investigated. Methods We sought to determine associations between loneliness and verbal episodic memory as well as loneliness and hippocampal volume trajectories across three longitudinal cohorts within the Lifebrain Consortium, including children, adolescents (N = 69, age range 10-15 at baseline examination) and older adults (N = 1468 over 60). We also explored putative loneliness correlates of cortical thinning across the entire cortical mantle. Results Loneliness was associated with worsening of verbal episodic memory in one cohort of older adults. Specifically, reporting medium to high levels of loneliness over time was related to significantly increased memory loss at follow-up examinations. The significance of the loneliness-memory change association was lost when eight participants were excluded after having developed dementia in any of the subsequent follow-up assessments. No significant structural brain correlates of loneliness were found, neither hippocampal volume change nor cortical thinning. Conclusion In the present longitudinal European multicenter study, the association between loneliness and episodic memory was mainly driven by individuals exhibiting progressive cognitive decline, which reinforces previous findings associating loneliness with cognitive impairment and dementia.
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Affiliation(s)
- Cristina Solé-Padullés
- Department of Medicine, Faculty of Medicine and Health Sciences, Institute of Neurosciences, University of Barcelona, Barcelona, Spain,*Correspondence: Cristina Solé-Padullés,
| | - Dídac Macià
- Department of Medicine, Faculty of Medicine and Health Sciences, Institute of Neurosciences, University of Barcelona, Barcelona, Spain,ISGlobal, Hospital Clínic – University of Barcelona, Barcelona, Spain
| | - Micael Andersson
- Department of Integrative Medical Biology, Umeå University, Umeå, Sweden,Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden
| | - Mikael Stiernstedt
- Department of Integrative Medical Biology, Umeå University, Umeå, Sweden,Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden
| | - Sara Pudas
- Department of Integrative Medical Biology, Umeå University, Umeå, Sweden,Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden
| | - Sandra Düzel
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany,Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany
| | - Enikő Zsoldos
- Department of Psychiatry, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, United Kingdom
| | - Klaus P. Ebmeier
- Department of Psychiatry, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, United Kingdom
| | - Julia Binnewies
- Department of Psychiatry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Christian A. Drevon
- Vitas Ltd., Oslo, Norway,Department of Nutrition, Institute of Basic Medical Sciences, Faculty Medicine, University of Oslo, Oslo, Norway
| | - Andreas M. Brandmaier
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany,Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany
| | - Athanasia M. Mowinckel
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway,Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Anders M. Fjell
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway,Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Kathrine Skak Madsen
- Danish 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, Denmark
| | - William F. C. Baaré
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Amager and Hvidovre, Copenhagen, Denmark
| | - Ulman Lindenberger
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany,Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany
| | - Lars Nyberg
- Department of Integrative Medical Biology, Umeå University, Umeå, Sweden,Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden,Department of Radiation Sciences, Umeå University, Umeå, Sweden
| | - Kristine B. Walhovd
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway,Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - David Bartrés-Faz
- Department of Medicine, Faculty of Medicine and Health Sciences, Institute of Neurosciences, University of Barcelona, Barcelona, Spain,August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
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Binnewies J, Nawijn L, van Tol MJ, van der Wee NJA, Veltman DJ, Penninx BWJH. Associations between depression, lifestyle and brain structure: A longitudinal MRI study. Neuroimage 2021; 231:117834. [PMID: 33549761 DOI: 10.1016/j.neuroimage.2021.117834] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Revised: 01/14/2021] [Accepted: 01/27/2021] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Depression has been associated with decreased regional grey matter volume, which might partly be explained by an unhealthier lifestyle in depressed individuals which has been ignored by most earlier studies. Also, the longitudinal nature of depression, lifestyle and brain structure associations is largely unknown. This study investigates the relationship of depression and lifestyle with brain structure cross-sectionally and longitudinally over up to 9 years. METHODS We used longitudinal structural MRI data of persons with depression and/or anxiety disorders and controls (Nunique participants = 347, Nobservations = 609). Cortical thickness of medial orbitofrontal cortex (mOFC), rostral anterior cingulate cortex (rACC) and hippocampal volume were derived using FreeSurfer. Using Generalized Estimating Equations, we investigated associations of depression and lifestyle (Body mass index (BMI), smoking, alcohol consumption, physical activity and sleep duration) with brain structure and change in brain structure over 2 (n = 179) and 9 years (n = 82). RESULTS Depression status (B = -.053, p = .002) and severity (B = -.002, p = .002) were negatively associated with rACC thickness. mOFC thickness was negatively associated with BMI (B = -.004, p < .001) and positively with moderate alcohol consumption (B = .030, p = .009). All associations were independent of each other. No associations were observed between (change in) depression, disease burden or lifestyle factors with brain change over time. CONCLUSIONS Depressive symptoms and diagnosis were independently associated with thinner rACC, BMI with thinner mOFC, and moderate alcohol consumption with thicker mOFC. No longitudinal associations were observed, suggesting that regional grey matter alterations are a long-term consequence or vulnerability indicator for depression but not dynamically or progressively related to depression course trajectory.
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Affiliation(s)
- Julia Binnewies
- Department of Psychiatry, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam, Vrije Universiteit Amsterdam, The Netherlands.
| | - Laura Nawijn
- Department of Psychiatry, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam, Vrije Universiteit Amsterdam, The Netherlands.
| | - Marie-José van Tol
- Department of Neuroscience, University Medical Center Groningen, Groningen, The Netherlands.
| | - Nic J A van der Wee
- Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands.
| | - Dick J Veltman
- Department of Psychiatry, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam, Vrije Universiteit Amsterdam, The Netherlands.
| | - Brenda W J H Penninx
- Department of Psychiatry, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam, Vrije Universiteit Amsterdam, The Netherlands.
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Binnewies J, Kniehl BA, Kramer G. Inclusive hadron production in photon-photon collisions at next-to-leading order. Phys Rev D Part Fields 1996; 53:6110-6119. [PMID: 10019900 DOI: 10.1103/physrevd.53.6110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
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Binnewies J, Kniehl BA, Kramer G. Neutral kaon production in e+e-, ep, and pp-bar collisions at next-to-leading order. Phys Rev D Part Fields 1996; 53:3573-3581. [PMID: 10020352 DOI: 10.1103/physrevd.53.3573] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
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Binnewies J, Kniehl BA, Kramer G. Pion and kaon production in e+e- and ep collisions at next-to-leading order. Phys Rev D Part Fields 1995; 52:4947-4960. [PMID: 10019718 DOI: 10.1103/physrevd.52.4947] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
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