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Fjell AM, Sørensen Ø, Amlien IK, Bartrés-Faz D, Brandmaier AM, Buchmann N, Demuth I, Drevon CA, Düzel S, Ebmeier KP, Ghisletta P, Idland AV, Kietzmann TC, Kievit RA, Kühn S, Lindenberger U, Magnussen F, Macià D, Mowinckel AM, Nyberg L, Sexton CE, Solé-Padullés C, Pudas S, Roe JM, Sederevicius D, Suri S, Vidal-Piñeiro D, Wagner G, Watne LO, Westerhausen R, Zsoldos E, Walhovd KB. Poor Self-Reported Sleep is Related to Regional Cortical Thinning in Aging but not Memory Decline-Results From the Lifebrain Consortium. Cereb Cortex 2020; 31:1953-1969. [PMID: 33236064 PMCID: PMC7945023 DOI: 10.1093/cercor/bhaa332] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [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: 07/20/2020] [Revised: 09/17/2020] [Accepted: 10/12/2020] [Indexed: 12/16/2022] Open
Abstract
We examined whether sleep quality and quantity are associated with cortical and memory changes in cognitively healthy participants across the adult lifespan. Associations between self-reported sleep parameters (Pittsburgh Sleep Quality Index, PSQI) and longitudinal cortical change were tested using five samples from the Lifebrain consortium (n = 2205, 4363 MRIs, 18–92 years). In additional analyses, we tested coherence with cell-specific gene expression maps from the Allen Human Brain Atlas, and relations to changes in memory performance. “PSQI # 1 Subjective sleep quality” and “PSQI #5 Sleep disturbances” were related to thinning of the right lateral temporal cortex, with lower quality and more disturbances being associated with faster thinning. The association with “PSQI #5 Sleep disturbances” emerged after 60 years, especially in regions with high expression of genes related to oligodendrocytes and S1 pyramidal neurons. None of the sleep scales were related to a longitudinal change in episodic memory function, suggesting that sleep-related cortical changes were independent of cognitive decline. The relationship to cortical brain change suggests that self-reported sleep parameters are relevant in lifespan studies, but small effect sizes indicate that self-reported sleep is not a good biomarker of general cortical degeneration in healthy older adults.
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Affiliation(s)
- Anders M Fjell
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, 0315 Oslo, Norway.,Department of Radiology and Nuclear Medicine, Oslo University Hospital, 0188 Oslo, Norway
| | - Øystein Sørensen
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, 0315 Oslo, Norway
| | - Inge K Amlien
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, 0315 Oslo, Norway
| | - David Bartrés-Faz
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Institut de Neurociències, Universitat de Barcelona, 08007 Barcelona, Spain
| | - Andreas M Brandmaier
- Center for Lifespan Psychology, Max Planck Institute for Human Development, 14195 Berlin, Germany.,Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany, and London, UK
| | - Nikolaus Buchmann
- Department of Cardiology, Charité - University Medicine Berlin Campus Benjamin Franklin, 12203 Berlin, Germany
| | - Ilja Demuth
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Lipid Clinic at the Interdisciplinary Metabolism Center, Charité - Universitätsmedizin Berlin, BCRT - Berlin Institute of Health Center for Regenerative Therapies, 10117 Berlin, Germany
| | - Christian A Drevon
- Vitas AS, Research Park, Gaustadalleen 21, 0349 Oslo, Norway.,Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, 0315 Oslo, Norway
| | - Sandra Düzel
- Center for Lifespan Psychology, Max Planck Institute for Human Development, 14195 Berlin, Germany
| | - Klaus P Ebmeier
- Department of Psychiatry, University of Oxford, Oxford OX1 2JD UK
| | - Paolo Ghisletta
- Faculty of Psychology and Educational Sciences, Swiss Distance University Institute, Swiss National Centre of Competence in Research LIVES, University of Geneva, 1205 Geneva, Switzerland
| | - Ane-Victoria Idland
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, 0315 Oslo, Norway.,Oslo Delirium Research Group, Department of Geriatric Medicine, University of Oslo, 0315 Oslo, Norway.,Institute of Basic Medical Sciences, University of Oslo, 0315 Oslo, Norway
| | - Tim C Kietzmann
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge CB2 1TN, UK.,Donders Institute for Brain, Cognition and Behaviour, Radboud University, 6525 XZ Nijmegen, The Netherlands
| | - Rogier A Kievit
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge CB2 1TN, UK
| | - Simone Kühn
- Center for Lifespan Psychology, Max Planck Institute for Human Development, 14195 Berlin, Germany.,Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany
| | - Ulman Lindenberger
- Center for Lifespan Psychology, Max Planck Institute for Human Development, 14195 Berlin, Germany.,Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany, and London, UK
| | - Fredrik Magnussen
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, 0315 Oslo, Norway
| | - Didac Macià
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Institut de Neurociències, Universitat de Barcelona, 08007 Barcelona, Spain
| | - Athanasia M Mowinckel
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, 0315 Oslo, Norway
| | - Lars Nyberg
- Umeå Center for Functional Brain Imaging, Umeå University, 901 87 Umeå, Sweden
| | - Claire E Sexton
- Department of Psychiatry, University of Oxford, Oxford OX1 2JD UK.,Global Brain Health Institute, Department of Neurology, University of California, San Francisco, San Francisco, CA 94143, USA.,Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford OX1 2JD, UK
| | - Cristina Solé-Padullés
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Institut de Neurociències, Universitat de Barcelona, 08007 Barcelona, Spain
| | - Sara Pudas
- Umeå Center for Functional Brain Imaging, Umeå University, 901 87 Umeå, Sweden
| | - James M Roe
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, 0315 Oslo, Norway
| | - Donatas Sederevicius
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, 0315 Oslo, Norway
| | - Sana Suri
- Department of Psychiatry, University of Oxford, Oxford OX1 2JD UK.,Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford OX1 2JD, UK
| | - Didac Vidal-Piñeiro
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, 0315 Oslo, Norway
| | - Gerd Wagner
- Psychiatric Brain and Body Research Group, Department of Psychiatry and Psychotherapy, Jena University Hospital, 07743 Jena, Germany
| | - Leiv Otto Watne
- Oslo Delirium Research Group, Department of Geriatric Medicine, University of Oslo, 0315 Oslo, Norway
| | - René Westerhausen
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, 0315 Oslo, Norway
| | - Enikő Zsoldos
- Department of Psychiatry, University of Oxford, Oxford OX1 2JD UK.,Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford OX1 2JD, UK
| | - Kristine B Walhovd
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, 0315 Oslo, Norway.,Department of Radiology and Nuclear Medicine, Oslo University Hospital, 0188 Oslo, Norway
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Vilor-Tejedor N, Alemany S, Forns J, Cáceres A, Murcia M, Macià D, Pujol J, Sunyer J, González JR. Assessment of Susceptibility Risk Factors for ADHD in Imaging Genetic Studies. J Atten Disord 2019; 23:671-681. [PMID: 27535943 DOI: 10.1177/1087054716664408] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [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] [Indexed: 11/16/2022]
Abstract
OBJECTIVE ADHD consists of a count of symptoms that often presents heterogeneity due to overdispersion and excess of zeros. Statistical inference is usually based on a dichotomous outcome that is underpowered. The main goal of this study was to determine a suited probability distribution to analyze ADHD symptoms in Imaging Genetic studies. METHOD We used two independent population samples of children to evaluate the consistency of the standard probability distributions based on count data for describing ADHD symptoms. RESULTS We showed that the zero-inflated negative binomial (ZINB) distribution provided the best power for modeling ADHD symptoms. ZINB reveals a genetic variant, rs273342 (Microtubule-Associated Protein [MAPRE2]), associated with ADHD ( p value = 2.73E-05). This variant was also associated with perivascular volumes (Virchow-Robin spaces; p values < 1E-03). No associations were found when using dichotomous definition. CONCLUSION We suggest that an appropriate modeling of ADHD symptoms increases statistical power to establish significant risk factors.
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Affiliation(s)
- N Vilor-Tejedor
- 1 SGlobal - Centre for Research in Environmental Epidemiology, Barcelona, Spain.,2 Universitat Pompeu Fabra, Barcelona, Spain.,3 CIBER Epidemiología y Salud Pública, Barcelona, Spain
| | - S Alemany
- 1 SGlobal - Centre for Research in Environmental Epidemiology, Barcelona, Spain.,2 Universitat Pompeu Fabra, Barcelona, Spain.,3 CIBER Epidemiología y Salud Pública, Barcelona, Spain
| | - J Forns
- 1 SGlobal - Centre for Research in Environmental Epidemiology, Barcelona, Spain.,2 Universitat Pompeu Fabra, Barcelona, Spain.,3 CIBER Epidemiología y Salud Pública, Barcelona, Spain.,4 Norwegian Institute of Public Health, Oslo, Norway
| | - A Cáceres
- 1 SGlobal - Centre for Research in Environmental Epidemiology, Barcelona, Spain.,2 Universitat Pompeu Fabra, Barcelona, Spain.,3 CIBER Epidemiología y Salud Pública, Barcelona, Spain
| | - M Murcia
- 3 CIBER Epidemiología y Salud Pública, Barcelona, Spain.,5 FISABIO-Universitat Jaume I-Universitat de València Joint Research Unit of Epidemiology and Environmental Health, Valencia, Spain
| | - D Macià
- 6 Hospital del Mar, Cibersam G21, Barcelona, Spain
| | - J Pujol
- 6 Hospital del Mar, Cibersam G21, Barcelona, Spain
| | - J Sunyer
- 1 SGlobal - Centre for Research in Environmental Epidemiology, Barcelona, Spain.,2 Universitat Pompeu Fabra, Barcelona, Spain.,3 CIBER Epidemiología y Salud Pública, Barcelona, Spain.,7 Hospital del Mar Medical Research Institute, Barcelona, Spain
| | - J R González
- 1 SGlobal - Centre for Research in Environmental Epidemiology, Barcelona, Spain.,2 Universitat Pompeu Fabra, Barcelona, Spain.,3 CIBER Epidemiología y Salud Pública, Barcelona, Spain
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Mortamais M, Pujol J, van Drooge BL, Macià D, Martínez-Vilavella G, Reynes C, Sabatier R, Rivas I, Grimalt J, Forns J, Alvarez-Pedrerol M, Querol X, Sunyer J. Effect of exposure to polycyclic aromatic hydrocarbons on basal ganglia and attention-deficit hyperactivity disorder symptoms in primary school children. Environ Int 2017; 105:12-19. [PMID: 28482185 DOI: 10.1016/j.envint.2017.04.011] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/10/2017] [Revised: 04/12/2017] [Accepted: 04/25/2017] [Indexed: 05/05/2023]
Abstract
BACKGROUND Polycyclic aromatic hydrocarbons (PAHs) have been proposed as environmental risk factors for attention deficit hyperactivity disorder (ADHD). The effects of these pollutants on brain structures potentially involved in the pathophysiology of ADHD are unknown. OBJECTIVE The aim of this study was to investigate the effects of PAHs on basal ganglia volumes and ADHD symptoms in school children. METHODS We conducted an imaging study in 242 children aged 8-12years, recruited through a set of representative schools of the city of Barcelona, Spain. Indoor and outdoor PAHs and benzo[a]pyrene (BPA) levels were assessed in the school environment, one year before the MRI assessment. Whole-brain volumes and basal ganglia volumes (caudate nucleus, globus pallidus, putamen) were derived from structural MRI scans using automated tissue segmentation. ADHD symptoms (ADHD/DSM-IV Scales, American Psychiatric Association 2002) were reported by teachers, and inattentiveness was evaluated with standard error of hit reaction time in the attention network computer-based test. RESULTS Total PAHs and BPA were associated with caudate nucleus volume (CNV) (i.e., an interquartile range increase in BPA outdoor level (67pg/m3) and indoor level (76pg/m3) was significantly linked to a decrease in CNV (mm3) (β=-150.6, 95% CI [-259.1, -42.1], p=0.007, and β=-122.4, 95% CI [-232.9, -11.8], p=0.030 respectively) independently of intracranial volume, age, sex, maternal education and socioeconomic vulnerability index at home). ADHD symptoms and inattentiveness increased in children with higher exposure to BPA, but these associations were not statistically significant. CONCLUSIONS Exposure to PAHs, and in particular to BPA, is associated with subclinical changes on the caudate nucleus, even below the legislated annual target levels established in the European Union. The behavioral consequences of this induced brain change were not identified in this study, but given the caudate nucleus involvement in many crucial cognitive and behavior processes, this volume reduction is concerning for the children's neurodevelopment.
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Affiliation(s)
- Marion Mortamais
- ISGLOBAL, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain; Pompeu Fabra University, Barcelona, Catalonia, Spain; Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain.
| | - Jesus Pujol
- MRI Research Unit, Hospital del Mar, Barcelona, Spain; Centro Investigación Biomédica en Red de Salud Mental, CIBERSAM G21, Barcelona, Spain
| | | | - Didac Macià
- MRI Research Unit, Hospital del Mar, Barcelona, Spain
| | | | - Christelle Reynes
- University of Montpellier, , Montpellier, France; 3 EA 2415, Faculté de Pharmacie, Montpellier, France
| | - Robert Sabatier
- University of Montpellier, , Montpellier, France; 3 EA 2415, Faculté de Pharmacie, Montpellier, France
| | - Ioar Rivas
- ISGLOBAL, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain; Pompeu Fabra University, Barcelona, Catalonia, Spain; Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain; Institute of Environmental Assessment and Water Research, Barcelona, Spain
| | - Joan Grimalt
- Institute of Environmental Assessment and Water Research, Barcelona, Spain
| | - Joan Forns
- ISGLOBAL, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain; Pompeu Fabra University, Barcelona, Catalonia, Spain; Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Mar Alvarez-Pedrerol
- ISGLOBAL, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain; Pompeu Fabra University, Barcelona, Catalonia, Spain; Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Xavier Querol
- Institute of Environmental Assessment and Water Research, Barcelona, Spain
| | - Jordi Sunyer
- ISGLOBAL, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain; Pompeu Fabra University, Barcelona, Catalonia, Spain; Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain; Institut Hospital del Mar d'Investigacions Mèdiques-Parc de Salut Mar, Barcelona, Catalonia, Spain
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