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Cai Y, Wang J, Hou L. Resilience Improves the Sleep Quality in Disabled Elders: The Role of Perceived Stress. Front Psychol 2021; 12:585816. [PMID: 33643125 PMCID: PMC7904684 DOI: 10.3389/fpsyg.2021.585816] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Accepted: 01/12/2021] [Indexed: 12/12/2022] Open
Abstract
The current research aims to prove the impact of resilience on sleep quality and to investigate the mediating function of perceived stress in the paths from resilience to sleep quality among disabled Chinese elders. The participants were 196 elders with visual and physical disability who resided in the nursing houses in Shanghai, including 102 males and 94 females whose mean age was 74.5 years old (standard deviation = 6.81). All the elders were measured with the 10-item Connor-Davidson Resilience Scale, Pittsburgh Sleep Quality Index (PSQI), and Perceived Stress Scale. The results showed that all the demographic variables were significantly related to perceived stress and PSQI scores. High levels of resilience could significantly enhance the quality of sleep in disabled Chinese elders. In addition, the two-step mediation models also confirmed the impact of resilience on sleep quality as mediated through perceived stress in this special aged population. Better knowledge on the mechanisms of sleep quality among older adults could benefit the prevention and treatment of some geriatric diseases.
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Affiliation(s)
- Yumei Cai
- School of Social and Public Administration, East China University of Science and Technology, Shanghai, China
| | - Junlei Wang
- Law School, East China University of Science and Technology, Shanghai, China
| | - Liwen Hou
- School of Social and Public Administration, East China University of Science and Technology, Shanghai, China
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52
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Jamieson D, Shan Z, Lagopoulos J, Hermens DF. The role of adolescent sleep quality in the development of anxiety disorders: A neurobiologically-informed model. Sleep Med Rev 2021; 59:101450. [PMID: 33588272 DOI: 10.1016/j.smrv.2021.101450] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Revised: 11/22/2020] [Accepted: 11/24/2020] [Indexed: 12/26/2022]
Abstract
In a series of cognitive and neuroimaging studies we investigated the relationships between adolescent sleep quality, white matter (WM) microstructural integrity and psychological distress. Collectively these studies showed that during early adolescence (12-14 years of age), sleep quality and psychological distress are significantly related. Sleep quality and the microstructure of the posterior limb of the internal capsule (PLIC), a WM tract that provides important connectivity between the cortex, thalamus and brain stem, were also shown to be significantly correlated as too were social connectedness and psychological distress. Longitudinally the uncinate fasciculus (UF), a WM tract that provides bidirectional connectivity between the amygdala and executive control centers in the Prefrontal cortex (PFC), was observed to be undergoing continued development during this period and sleep quality was shown to impact this development. Sleep latency was also shown to be a significant predictor of worry endured by early adolescents during future stressful situations. The current review places these findings within the broader literature and proposes an empirically supported model based in a theoretical framework. This model focuses on how fronto-limbic top-down control (or lack thereof) explains how poor sleep quality during early adolescence plays a crucial role in the initial development of anxiety disorders, and possibly in the reduced ability of anxiety disorder sufferers to benefit from cognitive reappraisal based therapies. While the findings outlined in these studies highlight the importance of sleep quality for WM development and in mitigating psychological distress, further research is required to further explicate the associations proposed within the model to allow causal inferences to be made.
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Affiliation(s)
| | - Zack Shan
- Thompson Institute, Birtinya, QLD, Australia
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53
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Laniepce A, Lahbairi N, Cabé N, Pitel AL, Rauchs G. Contribution of sleep disturbances to the heterogeneity of cognitive and brain alterations in alcohol use disorder. Sleep Med Rev 2021; 58:101435. [PMID: 33578081 DOI: 10.1016/j.smrv.2021.101435] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Revised: 09/22/2020] [Accepted: 10/27/2020] [Indexed: 12/28/2022]
Abstract
Cognitive and brain alterations are common in alcohol use disorder and vary importantly from one patient to another. Sleep disturbances are also very frequent in these patients and remain largely neglected even though they can persist after drinking cessation. Sleep disturbances may be the consequence of specific brain alterations, resulting in cognitive impairments. But sleep disruption may also exacerbate alcohol-related brain abnormalities and cognitive deficits through common pathophysiological mechanisms. Besides, sleep disturbances seem a vulnerability factor for the development of alcohol use disorder. From a clinical perspective, sleep disturbances are known to affect treatment outcome and to increase the risk of relapse. In this article, we conducted a narrative review to provide a better understanding of the relationships between sleep disturbances, brain and cognition in alcohol use disorder. We suggest that the heterogeneity of brain and cognitive alterations observed in patients with alcohol use disorder could at least partially be explained by associated sleep disturbances. We also believe that sleep disruption could indirectly favor relapse by exacerbating neuropsychological impairments required in psychosocial treatment and for the maintenance of abstinence. Implications for clinical practice as well as perspectives for future research are proposed.
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Affiliation(s)
- Alice Laniepce
- Normandie Univ, UNICAEN, PSL Université de Paris, EPHE, INSERM, U1077, CHU de Caen, GIP Cyceron, Neuropsychologie et Imagerie de la Mémoire Humaine, 14000 Caen, France
| | - Najlaa Lahbairi
- Normandie Univ, UNICAEN, PSL Université de Paris, EPHE, INSERM, U1077, CHU de Caen, GIP Cyceron, Neuropsychologie et Imagerie de la Mémoire Humaine, 14000 Caen, France
| | - Nicolas Cabé
- Normandie Univ, UNICAEN, PSL Université de Paris, EPHE, INSERM, U1077, CHU de Caen, GIP Cyceron, Neuropsychologie et Imagerie de la Mémoire Humaine, 14000 Caen, France; Service d'Addictologie, Centre Hospitalier Universitaire de Caen, 14000 Caen, France
| | - Anne-Lise Pitel
- Normandie Univ, UNICAEN, PSL Université de Paris, EPHE, INSERM, U1077, CHU de Caen, GIP Cyceron, Neuropsychologie et Imagerie de la Mémoire Humaine, 14000 Caen, France; Institut Universitaire de France (IUF), France
| | - Géraldine Rauchs
- Normandie Univ, UNICAEN, PSL Université de Paris, EPHE, INSERM, U1077, CHU de Caen, GIP Cyceron, Neuropsychologie et Imagerie de la Mémoire Humaine, 14000 Caen, France.
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54
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Brain reactivity using fMRI to insomnia stimuli in insomnia patients with discrepancy between subjective and objective sleep. Sci Rep 2021; 11:1592. [PMID: 33452376 PMCID: PMC7810854 DOI: 10.1038/s41598-021-81219-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Accepted: 12/21/2020] [Indexed: 12/03/2022] Open
Abstract
Subjective–objective discrepancy of sleep (SODS) might be related to the distorted perception of sleep deficit and hypersensitivity to insomnia-related stimuli. We investigated differences in brain activation to insomnia-related stimuli among insomnia patients with SODS (SODS group), insomnia patients without SODS (NOSODS group), and healthy controls (HC). Participants were evaluated for subjective and objective sleep using sleep diary and polysomnography. Functional magnetic resonance imaging was conducted during the presentation of insomnia-related (Ins), general anxiety-inducing (Gen), and neutral (Neu) stimuli. Brain reactivity to the contrast of Ins vs. Neu and Gen vs. Neu was compared among the SODS (n = 13), NOSODS (n = 15), and HC (n = 16) groups. In the SODS group compared to other groups, brain areas including the left fusiform, bilateral precuneus, right superior frontal gyrus, genu of corpus callosum, and bilateral anterior corona radiata showed significantly increased blood oxygen level dependent (BOLD) signal in the contrast of Ins vs. Neu. There was no brain region with significantly increased BOLD signal in the Gen vs. Neu contrast in the group comparisons. Increased brain activity to insomnia-related stimuli in several brain regions of the SODS group is likely due to these individuals being more sensitive to sleep-related threat and negative cognitive distortion toward insomnia.
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55
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Li C, Schreiber J, Bittner N, Li S, Huang R, Moebus S, Bauer A, Caspers S, Elmenhorst D. White Matter Microstructure Underlies the Effects of Sleep Quality and Life Stress on Depression Symptomatology in Older Adults. Front Aging Neurosci 2020; 12:578037. [PMID: 33281597 PMCID: PMC7691589 DOI: 10.3389/fnagi.2020.578037] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Accepted: 10/23/2020] [Indexed: 11/18/2022] Open
Abstract
Sleep complaints are the most prevalent syndromes in older adults, particularly in women. Moreover, they are frequently accompanied with a high level of depression and stress. Although several diffusion tensor imaging (DTI) studies reported associations between sleep quality and brain white matter (WM) microstructure, it is still unclear whether gender impacts the effect of sleep quality on structural alterations, and whether these alterations mediate the effects of sleep quality on emotional regulation. We included 389 older participants (176 females, age = 65.5 ± 5.5 years) from the 1000BRAINS project. Neuropsychological examinations covered the assessments of sleep quality, depressive symptomatology, current stress level, visual working memory, and selective attention ability. Based on the DTI dataset, the diffusion parameter maps, including fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD), were calculated and normalized to a population-specific FA template. According to the global Pittsburgh Sleep Quality Index (PSQI), 119 poor sleepers (PSQI: 10∼17) and 120 good sleepers (PSQI: 3∼6) were identified. We conducted a two by two (good sleepers/poor sleepers) × (males/females) analysis of variance by using tract-based spatial statistics (TBSS) and JHU-ICBM WM atlas-based comparisons. Moreover, we performed a voxel-wise correlation analysis of brain WM microstructure with the neuropsychological tests. Finally, we applied a mediation analysis to explore if the brain WM microstructure mediates the relationship between sleep quality and emotional regulation. No significant differences in brain WM microstructure were detected on the main effect of sleep quality. However, the MD, AD, and RD of pontine crossing tract and bilateral inferior cerebellar peduncle were significant lower in the males than females. Voxel-wise correlation analysis revealed that FA and RD values in the corpus callosum were positively related with depressive symptomatology and negatively related with current stress levels. Additionally, we found a significantly positive association between higher FA values in visual-related WM tracts and better outcomes in a visual pattern recognition test. Furthermore, a mediation analysis suggested that diffusion metrics within the corpus callosum partially mediated the associations between poor sleep quality/high stress and depressive symptomatology.
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Affiliation(s)
- Changhong Li
- Institute of Neuroscience and Medicine (INM-2), Forschungszentrum Jülich, Jülich, Germany.,Department of Neurophysiology, Institute of Zoology, RWTH Aachen University, Aachen, Germany
| | - Jan Schreiber
- Institute of Neuroscience and Medicine (INM-1), Forschungszentrum Jülich, Jülich, Germany
| | - Nora Bittner
- Institute of Neuroscience and Medicine (INM-1), Forschungszentrum Jülich, Jülich, Germany.,Institute for Anatomy I, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Shumei Li
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Ruiwang Huang
- Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health and Cognitive Science, School of Psychology, South China Normal University, Guangzhou, China
| | - Susanne Moebus
- Institute of Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, Essen, Germany
| | - Andreas Bauer
- Institute of Neuroscience and Medicine (INM-2), Forschungszentrum Jülich, Jülich, Germany.,Department of Neurological, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Svenja Caspers
- Institute of Neuroscience and Medicine (INM-1), Forschungszentrum Jülich, Jülich, Germany.,Institute for Anatomy I, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,JARA-BRAIN, Jülich-Aachen Research Alliance, Jülich, Germany
| | - David Elmenhorst
- Institute of Neuroscience and Medicine (INM-2), Forschungszentrum Jülich, Jülich, Germany
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56
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Labad J, Salvat-Pujol N, Armario A, Cabezas Á, de Arriba-Arnau A, Nadal R, Martorell L, Urretavizcaya M, Monreal JA, Crespo JM, Vilella E, Palao DJ, Menchón JM, Soria V. The Role of Sleep Quality, Trait Anxiety and Hypothalamic-Pituitary-Adrenal Axis Measures in Cognitive Abilities of Healthy Individuals. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17207600. [PMID: 33086584 PMCID: PMC7589840 DOI: 10.3390/ijerph17207600] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 08/23/2020] [Revised: 10/15/2020] [Accepted: 10/16/2020] [Indexed: 12/27/2022]
Abstract
Sleep plays a crucial role in cognitive processes. Sleep and wake memory consolidation seem to be regulated by glucocorticoids, pointing out the potential role of the hypothalamic-pituitary-adrenal (HPA) axis in the relationship between sleep quality and cognitive abilities. Trait anxiety is another factor that is likely to moderate the relationship between sleep and cognition, because poorer sleep quality and subtle HPA axis abnormalities have been reported in people with high trait anxiety. The current study aimed to explore whether HPA axis activity or trait anxiety moderate the relationship between sleep quality and cognitive abilities in healthy individuals. We studied 203 healthy individuals. We measured verbal and visual memory, working memory, processing speed, attention and executive function. Sleep quality was assessed with the Pittsburgh Sleep Quality Index. Trait anxiety was assessed with the State-Trait Anxiety Inventory. HPA axis measures included the cortisol awakening response (CAR), diurnal cortisol slope and cortisol levels during the day. Multiple linear regression analyses explored the relationship between sleep quality and cognition and tested potential moderating effects by HPA axis measures and trait anxiety. Poor sleep quality was associated with poorer performance in memory, processing speed and executive function tasks. In people with poorer sleep quality, a blunted CAR was associated with poorer verbal and visual memory and executive functions, and higher cortisol levels during the day were associated with poorer processing speed. Trait anxiety was a moderator of visual memory and executive functioning. These results suggest that subtle abnormalities in the HPA axis and higher trait anxiety contribute to the relationship between lower sleep quality and poorer cognitive functioning in healthy individuals.
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Affiliation(s)
- Javier Labad
- Consorci Sanitari del Maresme, 08340 Mataró, Spain;
- Institut d’Investigació i Innovació Parc Taulí (I3PT), 08208 Sabadell, Spain; (J.A.M.); (D.J.P.)
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Carlos III Health Institute, 28029 Madrid, Spain; (A.A.); (R.N.); (L.M.); (M.U.); (J.M.C.); (E.V.); (J.M.M.)
| | - Neus Salvat-Pujol
- Department of Mental Health, Parc Taulí Hospital Universitari, Universitat Autònoma de Barcelona, 08208 Sabadell, Spain;
- Department of Psychiatry, Bellvitge University Hospital, 08907 L’Hospitalet de Llobregat, Spain;
- Neurosciences Group—Psychiatry and Mental Health, Biomedical Research Institute (IDIBELL), 08908 L’Hospitalet de Llobregat, Spain
| | - Antonio Armario
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Carlos III Health Institute, 28029 Madrid, Spain; (A.A.); (R.N.); (L.M.); (M.U.); (J.M.C.); (E.V.); (J.M.M.)
- Institut de Neurociències, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain
| | - Ángel Cabezas
- Hospital Universitari Institut Pere Mata, Institut d’Investigació Sanitària Pere Virgili (IISPV), Universitat Rovira i Virgili, 43206 Reus, Spain;
| | - Aida de Arriba-Arnau
- Department of Psychiatry, Bellvitge University Hospital, 08907 L’Hospitalet de Llobregat, Spain;
- Neurosciences Group—Psychiatry and Mental Health, Biomedical Research Institute (IDIBELL), 08908 L’Hospitalet de Llobregat, Spain
| | - Roser Nadal
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Carlos III Health Institute, 28029 Madrid, Spain; (A.A.); (R.N.); (L.M.); (M.U.); (J.M.C.); (E.V.); (J.M.M.)
- Institut de Neurociències, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain
| | - Lourdes Martorell
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Carlos III Health Institute, 28029 Madrid, Spain; (A.A.); (R.N.); (L.M.); (M.U.); (J.M.C.); (E.V.); (J.M.M.)
- Hospital Universitari Institut Pere Mata, Institut d’Investigació Sanitària Pere Virgili (IISPV), Universitat Rovira i Virgili, 43206 Reus, Spain;
| | - Mikel Urretavizcaya
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Carlos III Health Institute, 28029 Madrid, Spain; (A.A.); (R.N.); (L.M.); (M.U.); (J.M.C.); (E.V.); (J.M.M.)
- Department of Psychiatry, Bellvitge University Hospital, 08907 L’Hospitalet de Llobregat, Spain;
- Neurosciences Group—Psychiatry and Mental Health, Biomedical Research Institute (IDIBELL), 08908 L’Hospitalet de Llobregat, Spain
- Department of Clinical Sciences, School of Medicine, Universitat de Barcelona, 08907 L’Hospitalet de Llobregat, Spain
| | - José Antonio Monreal
- Institut d’Investigació i Innovació Parc Taulí (I3PT), 08208 Sabadell, Spain; (J.A.M.); (D.J.P.)
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Carlos III Health Institute, 28029 Madrid, Spain; (A.A.); (R.N.); (L.M.); (M.U.); (J.M.C.); (E.V.); (J.M.M.)
- Department of Mental Health, Parc Taulí Hospital Universitari, Universitat Autònoma de Barcelona, 08208 Sabadell, Spain;
| | - José Manuel Crespo
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Carlos III Health Institute, 28029 Madrid, Spain; (A.A.); (R.N.); (L.M.); (M.U.); (J.M.C.); (E.V.); (J.M.M.)
- Department of Psychiatry, Bellvitge University Hospital, 08907 L’Hospitalet de Llobregat, Spain;
- Neurosciences Group—Psychiatry and Mental Health, Biomedical Research Institute (IDIBELL), 08908 L’Hospitalet de Llobregat, Spain
- Department of Clinical Sciences, School of Medicine, Universitat de Barcelona, 08907 L’Hospitalet de Llobregat, Spain
| | - Elisabet Vilella
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Carlos III Health Institute, 28029 Madrid, Spain; (A.A.); (R.N.); (L.M.); (M.U.); (J.M.C.); (E.V.); (J.M.M.)
- Hospital Universitari Institut Pere Mata, Institut d’Investigació Sanitària Pere Virgili (IISPV), Universitat Rovira i Virgili, 43206 Reus, Spain;
| | - Diego José Palao
- Institut d’Investigació i Innovació Parc Taulí (I3PT), 08208 Sabadell, Spain; (J.A.M.); (D.J.P.)
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Carlos III Health Institute, 28029 Madrid, Spain; (A.A.); (R.N.); (L.M.); (M.U.); (J.M.C.); (E.V.); (J.M.M.)
- Department of Mental Health, Parc Taulí Hospital Universitari, Universitat Autònoma de Barcelona, 08208 Sabadell, Spain;
| | - José Manuel Menchón
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Carlos III Health Institute, 28029 Madrid, Spain; (A.A.); (R.N.); (L.M.); (M.U.); (J.M.C.); (E.V.); (J.M.M.)
- Department of Psychiatry, Bellvitge University Hospital, 08907 L’Hospitalet de Llobregat, Spain;
- Neurosciences Group—Psychiatry and Mental Health, Biomedical Research Institute (IDIBELL), 08908 L’Hospitalet de Llobregat, Spain
- Department of Clinical Sciences, School of Medicine, Universitat de Barcelona, 08907 L’Hospitalet de Llobregat, Spain
| | - Virginia Soria
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Carlos III Health Institute, 28029 Madrid, Spain; (A.A.); (R.N.); (L.M.); (M.U.); (J.M.C.); (E.V.); (J.M.M.)
- Department of Psychiatry, Bellvitge University Hospital, 08907 L’Hospitalet de Llobregat, Spain;
- Neurosciences Group—Psychiatry and Mental Health, Biomedical Research Institute (IDIBELL), 08908 L’Hospitalet de Llobregat, Spain
- Department of Clinical Sciences, School of Medicine, Universitat de Barcelona, 08907 L’Hospitalet de Llobregat, Spain
- Correspondence:
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57
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Grumbach P, Opel N, Martin S, Meinert S, Leehr EJ, Redlich R, Enneking V, Goltermann J, Baune BT, Dannlowski U, Repple J. Sleep duration is associated with white matter microstructure and cognitive performance in healthy adults. Hum Brain Mapp 2020; 41:4397-4405. [PMID: 32648625 PMCID: PMC7502839 DOI: 10.1002/hbm.25132] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2020] [Revised: 06/19/2020] [Accepted: 06/22/2020] [Indexed: 01/01/2023] Open
Abstract
Reduced sleep duration and sleep deprivation have been associated with cognitive impairment as well as decreased white matter integrity as reported by experimental studies. However, it is largely unknown whether differences in sleep duration and sleep quality might affect microstructural white matter and cognition. Therefore, the present study aims to examine the cross-sectional relationship between sleep duration, sleep quality, and cognitive performance in a naturalistic study design, by focusing on the association with white matter integrity in a large sample of healthy, young adults. To address this, 1,065 participants, taken from the publicly available sample of the Human Connectome Project, underwent diffusion tensor imaging. Moreover, broad cognitive performance measures (NIH Cognition Toolbox) and sleep duration and quality (Pittsburgh Sleep Quality Index) were assessed. The results revealed a significant positive association between sleep duration and overall cognitive performance. Shorter sleep duration significantly correlated with fractional anisotropy (FA) reductions in the left superior longitudinal fasciculus (SLF). In turn, FA in this tract was related to measures of cognitive performance and was shown to significantly mediate the association of sleep duration and cognition. For cognition only, associations shift to a negative association of sleep duration and cognition for participants sleeping more than 8 hr a day. Investigations into subjective sleep quality showed no such associations. The present study showed that real-world differences in sleep duration, but not subjective sleep quality are related to cognitive performance measures and white matter integrity in the SLF in healthy, young adults.
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Affiliation(s)
| | - Nils Opel
- Department of PsychiatryUniversity of MünsterMünsterGermany
| | - Stella Martin
- Department of EconomicsUniversity of MünsterMünsterGermany
| | | | | | - Ronny Redlich
- Department of PsychiatryUniversity of MünsterMünsterGermany
| | | | | | - Bernhard T. Baune
- Department of PsychiatryUniversity of MünsterMünsterGermany
- Department of PsychiatryMelbourne Medical School, The University of MelbourneMelbourneVictoriaAustralia
- The Florey Institute of Neuroscience and Mental HealthThe University of MelbourneParkvilleVictoriaAustralia
| | - Udo Dannlowski
- Department of PsychiatryUniversity of MünsterMünsterGermany
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58
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Kim BR, Kwon H, Chun MY, Park KD, Lim SM, Jeong JH, Kim GH. White Matter Integrity Is Associated With the Amount of Physical Activity in Older Adults With Super-aging. Front Aging Neurosci 2020; 12:549983. [PMID: 33192451 PMCID: PMC7525045 DOI: 10.3389/fnagi.2020.549983] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Accepted: 08/21/2020] [Indexed: 01/06/2023] Open
Abstract
Previous studies have introduced the concept of “SuperAgers,” defined as older adults with youthful memory performance associated with the increased cortical thickness of the anterior cingulate cortex. Given that age-related structural brain changes are observed earlier in the white matter (WM) than in the cortical areas, we investigated whether WM integrity is different between the SuperAgers (SA) and typical agers (TA) and whether it is associated with superior memory performance as well as a healthy lifestyle. A total of 35 SA and 55 TA were recruited for this study. Further, 3.0-T magnetic resonance imaging (MRI), neuropsychological tests, and lifestyle factors related to cognitive function, such as physical activity and duration of sleep, were evaluated in all participants. SA was defined as individuals demonstrating the youthful performance of verbal and visual memory, as measured by the Seoul Verbal Learning Test (SVLT) and the Rey-Osterrieth Complex Figure Test (RCFT), respectively. Tract-based spatial statistics (TBSS) analysis was used to compare the diffusion values such as fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD) and axial diffusivity (AD) between the SA and TA. SA exhibited better performance in memory, attention, visuospatial, and frontal executive functions than the TA did. SA also exhibited greater amounts of physical activity than the TA did. As compared to TA, SA demonstrated higher FA with lower MD, RD, and AD in the corpus callosum and higher FA and lower RD in the right superior longitudinal fasciculus (SLF), which is significantly associated with memory function. Interestingly, FA values of the body of corpus callosum were correlated with the amount of physical activity. Our findings suggest that WM integrity of the corpus callosum is associated with superior memory function and a higher level of physical activities in SA compared to TA.
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Affiliation(s)
- Bori R Kim
- Department of Neurology, Ewha Womans University Mokdong Hospital, College of Medicine, Ewha Womans University, Seoul, South Korea.,Ewha Medical Research Institute, Ewha Womans University, Seoul, South Korea
| | - Hunki Kwon
- Department of Neurology, Yale University School of Medicine, New Haven, CT, United States
| | - Min Young Chun
- Department of Neurology, Ewha Womans University Mokdong Hospital, College of Medicine, Ewha Womans University, Seoul, South Korea
| | - Kee Duk Park
- Department of Neurology, Ewha Womans University Mokdong Hospital, College of Medicine, Ewha Womans University, Seoul, South Korea
| | - Soo Mee Lim
- Department of Radiology, Ewha Womans University Seoul Hospital, College of Medicine, Ewha Womans University, Seoul, South Korea
| | - Jee Hyang Jeong
- Department of Neurology, Ewha Womans University Mokdong Hospital, College of Medicine, Ewha Womans University, Seoul, South Korea
| | - Geon Ha Kim
- Department of Neurology, Ewha Womans University Mokdong Hospital, College of Medicine, Ewha Womans University, Seoul, South Korea
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59
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Van Someren EJW. Brain mechanisms of insomnia: new perspectives on causes and consequences. Physiol Rev 2020; 101:995-1046. [PMID: 32790576 DOI: 10.1152/physrev.00046.2019] [Citation(s) in RCA: 226] [Impact Index Per Article: 45.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
While insomnia is the second most common mental disorder, progress in our understanding of underlying neurobiological mechanisms has been limited. The present review addresses the definition and prevalence of insomnia and explores its subjective and objective characteristics across the 24-hour day. Subsequently, the review extensively addresses how the vulnerability to develop insomnia is affected by genetic variants, early life stress, major life events, and brain structure and function. Further supported by the clear mental health risks conveyed by insomnia, the integrated findings suggest that the vulnerability to develop insomnia could rather be found in brain circuits regulating emotion and arousal than in circuits involved in circadian and homeostatic sleep regulation. Finally, a testable model is presented. The model proposes that in people with a vulnerability to develop insomnia, the locus coeruleus is more sensitive to-or receives more input from-the salience network and related circuits, even during rapid eye movement sleep, when it should normally be sound asleep. This vulnerability may ignite a downward spiral of insufficient overnight adaptation to distress, resulting in accumulating hyperarousal, which, in turn, impedes restful sleep and moreover increases the risk of other mental health adversity. Sensitized brain circuits are likely to be subjectively experienced as "sleeping with one eye open". The proposed model opens up the possibility for novel intervention studies and animal studies, thus accelerating the ignition of a neuroscience of insomnia, which is direly needed for better treatment.
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Affiliation(s)
- Eus J W Van Someren
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience, Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands; Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit University Amsterdam, Amsterdam, The Netherlands; and Amsterdam UMC, Vrije Universiteit, Psychiatry, Amsterdam Neuroscience, Amsterdam, The Netherlands
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60
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Anatürk M, Suri S, Zsoldos E, Filippini N, Mahmood A, Singh-Manoux A, Kivimäki M, Mackay CE, Ebmeier KP, Sexton CE. Associations Between Longitudinal Trajectories of Cognitive and Social Activities and Brain Health in Old Age. JAMA Netw Open 2020; 3:e2013793. [PMID: 32816032 PMCID: PMC7441365 DOI: 10.1001/jamanetworkopen.2020.13793] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Accepted: 06/01/2020] [Indexed: 12/12/2022] Open
Abstract
Importance Prior neuroimaging studies have found that late-life participation in cognitive (eg, reading) and social (eg, visiting friends and family) leisure activities are associated with magnetic resonance imaging (MRI) markers of the aging brain, but little is known about the neural and cognitive correlates of changes in leisure activities during the life span. Objectives To examine trajectories of cognitive and social activities from midlife to late life and evaluate whether these trajectories are associated with brain structure, functional connectivity, and cognition. Design, Setting, and Participants This prospective cohort included participants enrolled in the Whitehall II study and its MRI substudy based in the UK. Participants provided information on their leisure activities at 5 times during calendar years 1997 to 1999, 2002 to 2004, 2006, 2007 to 2009, and 2011 to 2013 and underwent MRI and cognitive battery testing from January 1, 2012, to December 31, 2016. Data analysis was performed from October 7, 2017, to July 15, 2019. Main Outcome and Measures Growth curve models and latent class growth analysis were used to identify longitudinal trajectories of cognitive and social activities. Multiple linear regression was used to evaluate associations between activity trajectories and gray matter, white matter microstructure, functional connectivity, and cognition. Results A total of 574 individuals (468 [81.5%] men; mean [SD] age, 69.9 [4.9] years; median Montreal Cognitive Assessment score, 28 [interquartile range, 26-28]) were included in the present analysis. During a mean (SD) of 15 (4.2) years, cognitive and social activity levels increased during midlife before reaching a plateau in late life. Both baseline (global cognition: unstandardized β [SE], 0.955 [0.285], uncorrected P = .001; executive function: β [SE], 1.831 [0.499], uncorrected P < .001; memory: β [SE], 1.394 [0.550], uncorrected P = .01; processing speed: β [SE], 1.514 [0.528], uncorrected P = .004) and change (global cognition: β [SE], -1.382 [0.492], uncorrected P = .005, executive function: β [SE], -2.219 [0.865], uncorrected P = .01; memory: β [SE], -2.355 [0.948], uncorrected P = .01) in cognitive activities were associated with multiple domains of cognition as well as global gray matter volume (β [SE], -0.910 [0.388], uncorrected P = .02). Baseline (β [SE], 1.695 [0.525], uncorrected P = .001) and change (β [SE], 2.542 [1.026], uncorrected P = .01) in social activities were associated only with executive function, in addition to voxelwise measures of functional connectivity that involved sensorimotor (quadratic change in social activities: number of voxels, 306; P = 0.01) and temporoparietal (linear change in social activities: number of voxels, 16; P = .02) networks. Otherwise, no voxelwise associations were found with gray matter, white matter, or resting-state functional connectivity. False discovery rate corrections for multiple comparisons suggested that the association between cognitive activity levels and executive function was robust (β [SE], 1.831 [0.499], false discovery rate P < .001). Conclusions and Relevance The findings suggest that a life course approach may delineate the association between leisure activities and cognitive and brain health and that interventions aimed at improving and maintaining cognitive engagement may be valuable for the cognitive health of community-dwelling older adults.
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Affiliation(s)
- Melis Anatürk
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, UK
- Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional MRI of the Brain, Oxford, UK
- Nuffield Department of Clinical Neurosciences, University of Oxford, John Radcliffe Hospital, Oxford, UK
| | - Sana Suri
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, UK
- Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Human Brain Activity, University of Oxford, Warneford Hospital, Oxford, UK
| | - Enikő Zsoldos
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, UK
- Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional MRI of the Brain, Oxford, UK
- Nuffield Department of Clinical Neurosciences, University of Oxford, John Radcliffe Hospital, Oxford, UK
| | - Nicola Filippini
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, UK
- Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional MRI of the Brain, Oxford, UK
- Nuffield Department of Clinical Neurosciences, University of Oxford, John Radcliffe Hospital, Oxford, UK
| | - Abda Mahmood
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, UK
| | - Archana Singh-Manoux
- Department of Epidemiology and Public Health, University College London, London, UK
- Inserm U1153, Epidemiology of Ageing and Neurodegenerative Diseases, Université Paris-Descartes, Paris, France
| | - Mika Kivimäki
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Clare E. Mackay
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, UK
- Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Human Brain Activity, University of Oxford, Warneford Hospital, Oxford, UK
| | - Klaus P. Ebmeier
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, UK
| | - Claire E. Sexton
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, UK
- Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Human Brain Activity, University of Oxford, Warneford Hospital, Oxford, UK
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61
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Altendahl M, Cotter DL, Staffaroni AM, Wolf A, Mumford P, Cobigo Y, Casaletto K, Elahi F, Ruoff L, Javed S, Bettcher BM, Fox E, You M, Saloner R, Neylan TC, Kramer JH, Walsh CM. REM sleep is associated with white matter integrity in cognitively healthy, older adults. PLoS One 2020; 15:e0235395. [PMID: 32645032 PMCID: PMC7347149 DOI: 10.1371/journal.pone.0235395] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Accepted: 06/16/2020] [Indexed: 11/19/2022] Open
Abstract
There is increasing awareness that self-reported sleep abnormalities are negatively associated with brain structure and function in older adults. Less is known, however, about how objectively measured sleep associates with brain structure. We objectively measured at-home sleep to investigate how sleep architecture and sleep quality related to white matter microstructure in older adults. 43 cognitively normal, older adults underwent diffusion tensor imaging (DTI) and a sleep assessment within a six-month period. Participants completed the PSQI, a subjective measure of sleep quality, and used an at-home sleep recorder (Zeo, Inc.) to measure total sleep time (TST), sleep efficiency (SE), and percent time in light sleep (LS), deep sleep (DS), and REM sleep (RS). Multiple regressions predicted fractional anisotropy (FA) and mean diffusivity (MD) of the corpus callosum as a function of total PSQI score, TST, SE, and percent of time spent in each sleep stage, controlling for age and sex. Greater percent time spent in RS was significantly associated with higher FA (β = 0.41, p = 0.007) and lower MD (β = -0.30, p = 0.03). Total PSQI score, TST, SE, and time spent in LS or DS were not significantly associated with FA or MD (p>0.13). Percent time spent in REM sleep, but not quantity of light and deep sleep or subjective/objective measures of sleep quality, positively predicted white matter microstructure integrity. Our results highlight an important link between REM sleep and brain health that has the potential to improve sleep interventions in the elderly.
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Affiliation(s)
- Marie Altendahl
- Memory & Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America
| | - Devyn L. Cotter
- Memory & Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America
| | - Adam M. Staffaroni
- Memory & Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America
| | - Amy Wolf
- Memory & Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America
| | - Paige Mumford
- Memory & Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America
| | - Yann Cobigo
- Memory & Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America
| | - Kaitlin Casaletto
- Memory & Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America
| | - Fanny Elahi
- Memory & Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America
| | - Leslie Ruoff
- San Francisco VA Medical Center, Stress & Health Research Program, Department of Mental Health, San Francisco, California, United States of America
| | - Samirah Javed
- Memory & Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America
- Department of Psychiatry, University of California, San Francisco, California, United States of America
| | - Brianne M. Bettcher
- Memory & Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America
- Rocky Mountain Alzheimer’s Disease Center, Departments of Neurosurgery and Neurology, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States of America
| | - Emily Fox
- Memory & Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America
| | - Michelle You
- Memory & Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America
| | - Rowan Saloner
- Memory & Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America
| | - Thomas C. Neylan
- Memory & Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America
- San Francisco VA Medical Center, Stress & Health Research Program, Department of Mental Health, San Francisco, California, United States of America
- Department of Psychiatry, University of California, San Francisco, California, United States of America
| | - Joel H. Kramer
- Memory & Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America
- Department of Psychiatry, University of California, San Francisco, California, United States of America
| | - Christine M. Walsh
- Memory & Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America
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Sleep, rest-activity fragmentation and structural brain changes related to the ageing process. Curr Opin Behav Sci 2020. [DOI: 10.1016/j.cobeha.2019.11.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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63
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Zitser J, Anatürk M, Zsoldos E, Mahmood A, Filippini N, Suri S, Leng Y, Yaffe K, Singh-Manoux A, Kivimaki M, Ebmeier K, Sexton C. Sleep duration over 28 years, cognition, gray matter volume, and white matter microstructure: a prospective cohort study. Sleep 2020; 43:zsz290. [PMID: 31904084 PMCID: PMC7215267 DOI: 10.1093/sleep/zsz290] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2019] [Revised: 10/28/2019] [Indexed: 11/24/2022] Open
Abstract
STUDY OBJECTIVES To examine the association between sleep duration trajectories over 28 years and measures of cognition, gray matter volume, and white matter microstructure. We hypothesize that consistently meeting sleep guidelines that recommend at least 7 hours of sleep per night will be associated with better cognition, greater gray matter volumes, higher fractional anisotropy, and lower radial diffusivity values. METHODS We studied 613 participants (age 42.3 ± 5.03 years at baseline) who self-reported sleep duration at five time points between 1985 and 2013, and who had cognitive testing and magnetic resonance imaging administered at a single timepoint between 2012 and 2016. We applied latent class growth analysis to estimate membership into trajectory groups based on self-reported sleep duration over time. Analysis of gray matter volumes was carried out using FSL Voxel-Based-Morphometry and white matter microstructure using Tract Based Spatial Statistics. We assessed group differences in cognitive and MRI outcomes using nonparametric permutation testing. RESULTS Latent class growth analysis identified four trajectory groups, with an average sleep duration of 5.4 ± 0.2 hours (5%, N = 29), 6.2 ± 0.3 hours (37%, N = 228), 7.0 ± 0.2 hours (45%, N = 278), and 7.9 ± 0.3 hours (13%, N = 78). No differences in cognition, gray matter, and white matter measures were detected between groups. CONCLUSIONS Our null findings suggest that current sleep guidelines that recommend at least 7 hours of sleep per night may not be supported in relation to an association between sleep patterns and cognitive function or brain structure.
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Affiliation(s)
- Jennifer Zitser
- Department of Neurology, Global Brain Health Institute, Memory and Aging Center, University of California, San Francisco, CA
- Department of Neurology, Movement Disorders Unit, Tel Aviv Sourazky Medical Center, Affiliated to the Sackler Faculty of Medicine, Tel-Aviv University, Israel
| | - Melis Anatürk
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Enikő Zsoldos
- Department of Psychiatry, University of Oxford, Oxford, UK
- Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Oxford, UK
- FMRIB, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK
| | - Abda Mahmood
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Nicola Filippini
- Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Oxford, UK
| | - Sana Suri
- Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Oxford, UK
| | - Yue Leng
- Department of Neurology, Global Brain Health Institute, Memory and Aging Center, University of California, San Francisco, CA
- Department of Psychiatry, University of California, San Francisco, CA
| | - Kristine Yaffe
- Department of Psychiatry, Neurology and Epidemiology, University of California, San Francisco, CA
| | - Archana Singh-Manoux
- Université de Paris, Inserm U1153, Epidemiology of Ageing and Neurodegenerative Diseases, Paris, France
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Mika Kivimaki
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Klaus Ebmeier
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Claire Sexton
- Department of Neurology, Global Brain Health Institute, Memory and Aging Center, University of California, San Francisco, CA
- Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Oxford, UK
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Kocevska D, Tiemeier H, Lysen TS, de Groot M, Muetzel RL, Van Someren EJW, Ikram MA, Vernooij MW, Luik AI. The prospective association of objectively measured sleep and cerebral white matter microstructure in middle-aged and older persons. Sleep 2020; 42:5528118. [PMID: 31270542 DOI: 10.1093/sleep/zsz140] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2018] [Revised: 05/02/2019] [Indexed: 11/14/2022] Open
Abstract
STUDY OBJECTIVES Poor sleep may destabilize axonal integrity and deteriorate cerebral white matter. In middle-aged and older adults sleep problems increase alongside structural brain changes, but the temporal relation between these processes is poorly understood. We studied longitudinal associations between sleep and cerebral white matter microstructure. METHODS One thousand one persons (59.3 ± 7.9 years, 55% women) were followed across 5.8 years (3.9-10.8). Total sleep time (TST, hours), sleep efficiency (SE, percentage), sleep onset latency (SOL, minutes), and wake after sleep onset (WASO, minutes) were measured at baseline using a wrist-worn actigraph. White matter microstructure (global and tract-specific fractional anisotropy [FA] and mean diffusivity [MD]) was measured twice with diffusion tensor imaging (DTI). RESULTS Poor sleep was associated with worse white matter microstructure up to 7 years later but did not predict trajectories of DTI over time. Longer TST was associated with higher global FA (β = 0.06, 95% CI: 0.01 to 0.12), but not with MD. Persons with higher SE had higher global FA (β = 0.01, 95% CI: 0.002 to 0.01) and lower MD (β = -0.01, 95% CI: -0.01 to -0.0004). Consistently, those with more WASO had lower global FA (β = -0.003, 95% CI: -0.005 to -0.001) and higher MD (β = 0.002, 95% CI: 0.0004 to 0.004). Global findings seemed to be driven by microstructural alterations in the cingulum, anterior forceps of corpus callosum, projection and association tracts. CONCLUSIONS Middle-aged and older persons with more WASO, lower SE and shorter TST have worse microstructure of cerebral white matter. Microstructural alterations are most pronounced projection and association tracts, in the cingulum, and in the anterior forceps of corpus callosum.
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Affiliation(s)
- Desana Kocevska
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands.,Department of Child and Adolescent Psychiatry, Erasmus MC University Medical Center, Rotterdam, The Netherlands.,Department of Sleep and Cognition, Netherlands Institute for Neuroscience (an Institute of the Royal Netherlands Academy of Arts and Sciences), Amsterdam, The Netherlands
| | - Henning Tiemeier
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands.,Department of Child and Adolescent Psychiatry, Erasmus MC University Medical Center, Rotterdam, The Netherlands.,Department of Social and Behavioral Science, Harvard TH Chan School of Public Health, Boston, MA
| | - Thom S Lysen
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Marius de Groot
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands.,Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.,Department of Medical Informatics, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Ryan L Muetzel
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands.,Department of Child and Adolescent Psychiatry, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Eus J W Van Someren
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience (an Institute of the Royal Netherlands Academy of Arts and Sciences), Amsterdam, The Netherlands.,Department of Integrative Neurophysiology, Centre for Neurogenomics and Cognitive Research, VU University Medical Centre, Amsterdam, The Netherlands.,Department of Psychiatry, Centre for Neurogenomics and Cognitive Research, VU University Medical Centre, Amsterdam, The Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands.,Department of Neurology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Meike W Vernooij
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands.,Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Annemarie I Luik
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
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Association between Neighborhood Environment and Quality of Sleep in Older Adult Residents Living in Japan: The JAGES 2010 Cross-Sectional Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17041398. [PMID: 32098114 PMCID: PMC7068387 DOI: 10.3390/ijerph17041398] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/23/2020] [Revised: 02/18/2020] [Accepted: 02/19/2020] [Indexed: 12/11/2022]
Abstract
Poor sleep is associated with lifestyle, however, few studies have addressed the association between sleep quality and the neighborhood environment. This study aimed to investigate the associations between living environment factors and sleep quality in older people. Participants were community-dwelling people aged ≥65 years who participated in the 2010 Japanese Gerontological Evaluation Study. The data of 16,650 people (8102 men, 8548 women) were analyzed. Sleep quality (good or poor) was evaluated using a self-administered questionnaire. Multilevel Poisson regression analysis stratified by depressive status (measured by the Geriatric Depression Scale-15 [GDS]) was conducted with sleep quality as the dependent variable and social and physical environmental factors as explanatory variables. The 12,469 non-depressive respondents and 4181 depressive respondents were evaluated. The regression analysis indicated that non-depressive participants slept better if they lived in environments with few hills or steps (prevalence ratio [PR] = 0.75, 95% CI: 0.56–0.9) and with places where they felt free to drop in (PR = 0.51, 95% CI: 0.26–0.98). For depressive participants, these associations were not evident. Living alone, poor self-rated health, low income, and unemployment were associated with poor sleep quality. In addition to support with these individual factors, improving environmental factors at the neighborhood level may improve the sleep quality of community-dwelling older adults.
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Grau-Rivera O, Operto G, Falcón C, Sánchez-Benavides G, Cacciaglia R, Brugulat-Serrat A, Gramunt N, Salvadó G, Suárez-Calvet M, Minguillon C, Iranzo Á, Gispert JD, Molinuevo JL. Association between insomnia and cognitive performance, gray matter volume, and white matter microstructure in cognitively unimpaired adults. ALZHEIMERS RESEARCH & THERAPY 2020; 12:4. [PMID: 31907066 PMCID: PMC6945611 DOI: 10.1186/s13195-019-0547-3] [Citation(s) in RCA: 64] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Accepted: 10/17/2019] [Indexed: 12/13/2022]
Abstract
BACKGROUND Mounting evidence links poor sleep quality with a higher risk of late-life dementia. However, the structural and cognitive correlates of insomnia are still not well understood. The study aims were to characterize the cognitive performance and brain structural pattern of cognitively unimpaired adults at increased risk for Alzheimer's disease (AD) with insomnia. METHODS This cross-sectional study included 1683 cognitively unimpaired middle/late-middle-aged adults from the ALFA (ALzheimer and FAmilies) study who underwent neuropsychological assessment, T1-weighted structural imaging (n = 366), and diffusion-weighted imaging (n = 334). The World Health Organization's World Mental Health Survey Initiative version of the Composite International Diagnostic Interview was used to define the presence or absence of insomnia. Multivariable regression models were used to evaluate differences in cognitive performance between individuals with and without insomnia, as well as potential interactions between insomnia and the APOE genotype. Voxel-based morphometry and tract-based spatial statistics were used to assess between-group differences and potential interactions between insomnia and the APOE genotype in gray matter volume and white matter diffusion metrics. RESULTS Insomnia was reported by 615 out of 1683 participants (36.5%), including 137 out of 366 (37.4%) with T1-weighted structural imaging available and 119 out of 334 (35.6%) with diffusion-weighted imaging. Individuals with insomnia (n = 615) performed worse in executive function tests than non-insomniacs and displayed lower gray matter volume in left orbitofrontal and right middle temporal cortex, bilateral precuneus, posterior cingulate cortex and thalamus, higher gray matter volume in the left caudate nucleus, and widespread reduction of mean and axial diffusivity in right hemisphere white matter tracts. Insomnia interacted with the APOE genotype, with APOE-ε4 carriers displaying lower gray matter volumes when insomnia was present, but higher volumes when insomnia was not present, in several gray matter regions, including the left angular gyrus, the bilateral superior frontal gyri, the thalami, and the right hippocampus. CONCLUSIONS Insomnia in cognitively unimpaired adults at increased risk for AD is associated to poorer performance in some executive functions and volume changes in cortical and subcortical gray matter, including key areas involved in Alzheimer's disease, as well as decreased white matter diffusivity.
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Affiliation(s)
- Oriol Grau-Rivera
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Wellington 30, 08003, Barcelona, Spain.,Servei de Neurologia, Hospital del Mar, Barcelona, Spain
| | - Grégory Operto
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Wellington 30, 08003, Barcelona, Spain
| | - Carles Falcón
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Wellington 30, 08003, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Madrid, Spain
| | - Gonzalo Sánchez-Benavides
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Wellington 30, 08003, Barcelona, Spain.,CIBER Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain
| | - Raffaele Cacciaglia
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Wellington 30, 08003, Barcelona, Spain
| | - Anna Brugulat-Serrat
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Wellington 30, 08003, Barcelona, Spain
| | - Nina Gramunt
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Wellington 30, 08003, Barcelona, Spain.,CIBER Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain
| | - Gemma Salvadó
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Wellington 30, 08003, Barcelona, Spain
| | - Marc Suárez-Calvet
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Wellington 30, 08003, Barcelona, Spain.,Servei de Neurologia, Hospital del Mar, Barcelona, Spain
| | - Carolina Minguillon
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Wellington 30, 08003, Barcelona, Spain.,CIBER Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain
| | - Álex Iranzo
- Neurology Service, Hospital Clínic de Barcelona and Institut D'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain.,Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Hospital Clínic de Barcelona, Barcelona, Spain
| | - Juan Domingo Gispert
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Wellington 30, 08003, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Madrid, Spain.,Universitat Pompeu Fabra, Barcelona, Spain
| | - José Luis Molinuevo
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Wellington 30, 08003, Barcelona, Spain. .,CIBER Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain. .,Universitat Pompeu Fabra, Barcelona, Spain. .,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.
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Walhovd KB, Fjell AM, Westerhausen R, Nyberg L, Ebmeier KP, Lindenberger U, Bartrés-Faz D, Baaré WF, Siebner HR, Henson R, Drevon CA, Strømstad Knudsen GP, Ljøsne IB, Penninx BW, Ghisletta P, Rogeberg O, Tyler L, Bertram L. Healthy minds 0–100 years: Optimising the use of European brain imaging cohorts (“Lifebrain”). Eur Psychiatry 2020; 50:47-56. [DOI: 10.1016/j.eurpsy.2017.12.006] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2017] [Revised: 10/04/2017] [Accepted: 10/05/2017] [Indexed: 12/26/2022] Open
Abstract
AbstractThe main objective of “Lifebrain” is to identify the determinants of brain, cognitive and mental (BCM) health at different stages of life. By integrating, harmonising and enriching major European neuroimaging studies across the life span, we will merge fine-grained BCM health measures of more than 5000 individuals. Longitudinal brain imaging, genetic and health data are available for a major part, as well as cognitive and mental health measures for the broader cohorts, exceeding 27,000 examinations in total. By linking these data to other databases and biobanks, including birth registries, national and regional archives, and by enriching them with a new online data collection and novel measures, we will address the risk factors and protective factors of BCM health. We will identify pathways through which risk and protective factors work and their moderators. Exploiting existing European infrastructures and initiatives, we hope to make major conceptual, methodological and analytical contributions towards large integrative cohorts and their efficient exploitation. We will thus provide novel information on BCM health maintenance, as well as the onset and course of BCM disorders. This will lay a foundation for earlier diagnosis of brain disorders, aberrant development and decline of BCM health, and translate into future preventive and therapeutic strategies. Aiming to improve clinical practice and public health we will work with stakeholders and health authorities, and thus provide the evidence base for prevention and intervention.
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Sexton CE, Sykara K, Karageorgiou E, Zitser J, Rosa T, Yaffe K, Leng Y. Connections Between Insomnia and Cognitive Aging. Neurosci Bull 2020; 36:77-84. [PMID: 31222500 PMCID: PMC6940406 DOI: 10.1007/s12264-019-00401-9] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2018] [Accepted: 03/19/2019] [Indexed: 01/05/2023] Open
Abstract
Insomnia is a common sleep disorder among older adults, and a risk factor for poor physical and mental health. However, the relationship between insomnia and cognitive health is not well understood. Here, we review observational studies that have investigated whether insomnia is associated with deficits in objective cognitive performance and an increased risk of dementia, magnetic resonance imaging studies that have assessed grey matter volumes and white matter microstructure, and interventional studies that have explored whether the treatment of insomnia can improve cognitive outcomes. There are inconsistent findings regarding impaired performance in objective cognitive tests and reduced grey matter volumes, and limited, emerging, evidence that suggests that insomnia is associated with an increased risk of dementia and reduced white matter integrity. Although the interventional literature is still in its infancy, there is some indication that treatment may have an impact on vigilance. Well-powered studies examining sources of heterogeneity are warranted.
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Affiliation(s)
- Claire E Sexton
- Global Brain Health Institute, Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA
- Department of Psychiatry, University of Oxford, Oxford, UK
| | | | - Elissaios Karageorgiou
- Global Brain Health Institute, Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA
- Neurological Institute of Athens, Athens, Greece
| | - Jenny Zitser
- Global Brain Health Institute, Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA
| | - Talita Rosa
- Global Brain Health Institute, Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA
| | - Kristine Yaffe
- Department of Psychiatry, Neurology and Epidemiology, University of California, San Francisco, CA, USA
| | - Yue Leng
- Global Brain Health Institute, Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA.
- Department of Psychiatry, Neurology and Epidemiology, University of California, San Francisco, CA, USA.
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69
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Ward SA, Pase MP. Advances in pathophysiology and neuroimaging: Implications for sleep and dementia. Respirology 2019; 25:580-592. [DOI: 10.1111/resp.13728] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2019] [Revised: 09/02/2019] [Accepted: 10/16/2019] [Indexed: 12/14/2022]
Affiliation(s)
- Stephanie A. Ward
- School of Public Health and Preventive MedicineMonash University Melbourne VIC Australia
- Department of Geriatric MedicinePrince of Wales Hospital Sydney NSW Australia
- Centre for Healthy Brain Ageing (CHeBA), School of PsychiatryUniversity of New South Wales Sydney NSW Australia
| | - Matthew P. Pase
- Melbourne Dementia Research CentreThe Florey Institute of Neuroscience and Mental Health Melbourne VIC Australia
- Faculty of Medicine, Dentistry and Health ScienceThe University of Melbourne Melbourne VIC Australia
- Centre for Human PsychopharmacologySwinburne University of Technology Melbourne VIC Australia
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70
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de Vivo L, Bellesi M. The role of sleep and wakefulness in myelin plasticity. Glia 2019; 67:2142-2152. [PMID: 31237382 PMCID: PMC6771952 DOI: 10.1002/glia.23667] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2019] [Revised: 06/07/2019] [Accepted: 06/11/2019] [Indexed: 12/17/2022]
Abstract
Myelin plasticity is gaining increasing recognition as an essential partner to synaptic plasticity, which mediates experience-dependent brain structure and function. However, how neural activity induces adaptive myelination and which mechanisms are involved remain open questions. More than two decades of transcriptomic studies in rodents have revealed that hundreds of brain transcripts change their expression in relation to the sleep-wake cycle. These studies consistently report upregulation of myelin-related genes during sleep, suggesting that sleep represents a window of opportunity during which myelination occurs. In this review, we summarize recent molecular and morphological studies detailing the dependence of myelin dynamics after sleep, wake, and chronic sleep loss, a condition that can affect myelin substantially. We present novel data about the effects of sleep loss on the node of Ranvier length and provide a hypothetical mechanism through which myelin changes in response to sleep loss. Finally, we discuss the current findings in humans, which appear to confirm the important role of sleep in promoting white matter integrity.
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Affiliation(s)
- Luisa de Vivo
- School of Physiology, Pharmacology and NeuroscienceUniversity of BristolBristolUK
| | - Michele Bellesi
- School of Physiology, Pharmacology and NeuroscienceUniversity of BristolBristolUK
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Mulder TA, Kocevska D, Muetzel RL, Koopman-Verhoeff ME, Hillegers MH, White T, Tiemeier H. Childhood sleep disturbances and white matter microstructure in preadolescence. J Child Psychol Psychiatry 2019; 60:1242-1250. [PMID: 31240728 DOI: 10.1111/jcpp.13085] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/23/2019] [Indexed: 11/28/2022]
Abstract
BACKGROUND Sleep problems occur in up to 30% of children and have been associated with adverse developmental outcomes. However, due to a lack of longitudinal neuroimaging studies, the neurobiological changes that may underlie some of these associations have remained unclear. This study explored the association between sleep problems during childhood and white matter (WM) microstructure in preadolescence. METHODS Children from the population-based birth cohort, the Generation R Study, who had repeatedly assessed sleep problems between 1.5 and 10 years of age and a MRI scan at age 10 (N = 2,449), were included. Mothers reported on their child's sleep problems using the Child Behavior Checklist (CBCL 1.5-5) when children were 1.5, 3, and 6 years of age. At age 2, mothers completed very similar questions. At age 10, both children and their mothers reported on sleep problems. We used whole-brain and tract-specific fractional anisotropy (FA) and mean diffusivity (MD) values obtained through diffusion tensor imaging as measures of WM microstructure. RESULTS Childhood sleep problems at 1.5, 2, and 6 years of age were associated with less WM microstructural integrity (approximately 0.05 SD lower global FA score per 1-SD sleep problems). In repeated-measures analyses, children with more sleep problems (per 1-SD) at baseline had lower FA values at age 10 in particular in the corticospinal tract (-0.12 SD, 95% CI:-0.20;-0.05), the uncinate fasciculus (-0.12 SD, 95% CI:-0.19;-0.05), and the forceps major (-0.11 SD, 95% CI:-0.18;-0.03), although effect estimates across the tracts did not differ substantially. CONCLUSIONS Childhood sleep disturbances are associated with less WM microstructural integrity in preadolescence. Our results show that early neurodevelopment may be a period of particular vulnerability to sleep problems. This study cannot demonstrate causality but suggests that preventive interventions addressing sleep problems should be further explored to test whether they impact adverse neurodevelopment.
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Affiliation(s)
- Tessa A Mulder
- Generation R Study Group, Erasmus University Medical Center, Rotterdam, The Netherlands.,Department of Child and Adolescent Psychiatry, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Desana Kocevska
- Generation R Study Group, Erasmus University Medical Center, Rotterdam, The Netherlands.,Department of Child and Adolescent Psychiatry, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Ryan L Muetzel
- Department of Child and Adolescent Psychiatry, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Maria Elisabeth Koopman-Verhoeff
- Generation R Study Group, Erasmus University Medical Center, Rotterdam, The Netherlands.,Department of Child and Adolescent Psychiatry, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Manon H Hillegers
- Department of Child and Adolescent Psychiatry, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Tonya White
- Department of Child and Adolescent Psychiatry, Erasmus Medical Center, Rotterdam, The Netherlands.,Department of Radiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Henning Tiemeier
- Department of Child and Adolescent Psychiatry, Erasmus Medical Center, Rotterdam, The Netherlands.,Department of Social and Behavioral Science, Harvard TH Chan School of Public Health, Boston, MA, USA
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Sleep Quality and Cognitive Function in Type 1 Diabetes: Findings From the Study of Longevity in Diabetes (SOLID). Alzheimer Dis Assoc Disord 2019; 34:18-24. [PMID: 31567303 DOI: 10.1097/wad.0000000000000351] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
STUDY OBJECTIVE The objective was to examine the association between sleep quality and global and domain-specific cognitive function among older individuals with type 1 diabetes (T1D). METHODS We evaluated 695 individuals with T1D aged 60 years or above who participated in the baseline assessment of the Study of Longevity in Diabetes (SOLID), which captured subjective sleep quality (Pittsburgh Sleep Quality Index) and global and domain-specific (language, executive function, episodic memory, and simple attention) cognitive function. Multivariable linear regressions estimated the associations between sleep quality quartiles and overall and domain-specific cognitive function adjusting for age, sex, race/ethnicity, education, depressive symptoms, and severe hypoglycemic episodes. Sensitivity analyses examined the associations between aspects of sleep quality and global cognitive function. RESULTS The worst sleep quality quartile was associated with lower global cognition (β=-0.08; 95% confidence interval: -0.17, -0.01) and lower executive function (β=-0.17, 95% confidence interval: -0.30, -0.03) compared with the best quartile of sleep quality adjusting for demographics and comorbidities. Sleep quality was not associated with language, episodic memory, or simple attention. Sleep medications and daytime dysfunction were most strongly associated with global cognition. CONCLUSION Our results suggest that sleep quality may be a modifiable risk factor for global cognitive function and executive function among elderly individuals with T1D.
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73
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Jespersen KV, Stevner A, Fernandes H, Sørensen SD, Van Someren E, Kringelbach M, Vuust P. Reduced structural connectivity in Insomnia Disorder. J Sleep Res 2019; 29:e12901. [DOI: 10.1111/jsr.12901] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2019] [Revised: 06/28/2019] [Accepted: 07/08/2019] [Indexed: 11/28/2022]
Affiliation(s)
- Kira V. Jespersen
- Department of Clinical Medicine Center for Music in the Brain Aarhus University & the Royal Academy of Music Aarhus/Aalborg Aarhus Denmark
| | - Angus Stevner
- Department of Clinical Medicine Center for Music in the Brain Aarhus University & the Royal Academy of Music Aarhus/Aalborg Aarhus Denmark
- Department of Psychiatry University of Oxford Oxford UK
| | - Henrique Fernandes
- Department of Clinical Medicine Center for Music in the Brain Aarhus University & the Royal Academy of Music Aarhus/Aalborg Aarhus Denmark
- Department of Psychiatry University of Oxford Oxford UK
| | - Stine D. Sørensen
- Department of Clinical Medicine Center for Music in the Brain Aarhus University & the Royal Academy of Music Aarhus/Aalborg Aarhus Denmark
| | - Eus Van Someren
- Department of Sleep and Cognition Netherlands Institute for Neuroscience Institute of the Royal Netherlands Academy of Arts and Sciences Amsterdam The Netherlands
- Department of Integrative Neurophysiology Center for Neurogenomics and Cognitive Research Amsterdam Neuroscience VU University Amsterdam Amsterdam The Netherlands
- Department of Psychiatry Amsterdam UMC Amsterdam Neuroscience VU University Amsterdam Amsterdam The Netherlands
| | - Morten Kringelbach
- Department of Clinical Medicine Center for Music in the Brain Aarhus University & the Royal Academy of Music Aarhus/Aalborg Aarhus Denmark
- Department of Psychiatry University of Oxford Oxford UK
| | - Peter Vuust
- Department of Clinical Medicine Center for Music in the Brain Aarhus University & the Royal Academy of Music Aarhus/Aalborg Aarhus Denmark
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Wassenaar TM, Yaffe K, van der Werf YD, Sexton CE. Associations between modifiable risk factors and white matter of the aging brain: insights from diffusion tensor imaging studies. Neurobiol Aging 2019; 80:56-70. [PMID: 31103633 PMCID: PMC6683729 DOI: 10.1016/j.neurobiolaging.2019.04.006] [Citation(s) in RCA: 75] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Revised: 03/26/2019] [Accepted: 04/05/2019] [Indexed: 01/13/2023]
Abstract
There is increasing interest in factors that may modulate white matter (WM) breakdown and, consequentially, age-related cognitive and behavioral deficits. Recent diffusion tensor imaging studies have examined the relationship of such factors with WM microstructure. This review summarizes the evidence regarding the relationship between WM microstructure and recognized modifiable factors, including hearing loss, hypertension, diabetes, obesity, smoking, depressive symptoms, physical (in) activity, and social isolation, as well as sleep disturbances, diet, cognitive training, and meditation. Current cross-sectional evidence suggests a clear link between loss of WM integrity (lower fractional anisotropy and higher mean diffusivity) and hypertension, obesity, diabetes, and smoking; a relationship that seems to hold for hearing loss, social isolation, depressive symptoms, and sleep disturbances. Physical activity, cognitive training, diet, and meditation, on the other hand, may protect WM with aging. Preliminary evidence from cross-sectional studies of treated risk factors suggests that modification of factors could slow down negative effects on WM microstructure. Careful intervention studies are needed for this literature to contribute to public health initiatives going forward.
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Affiliation(s)
- Thomas M Wassenaar
- Nuffield Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroscience, FMRIB Centre, University of Oxford, John Radcliffe Hospital, UK
| | - Kristine Yaffe
- Departments of Psychiatry, Neurology, and Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Ysbrand D van der Werf
- Department of Anatomy and Neurosciences, VU University Medical Center, MC, Amsterdam, the Netherlands
| | - Claire E Sexton
- Department of Neurology, Global Brain Health Institute, Memory and Aging Center, University of California San Francisco, San Francisco, CA, USA; Department of Psychiatry, Wellcome Centre for Integrative Neuroscience, Oxford Centre for Human Brain Activity, University of Oxford, John Radcliffe Hospital, UK.
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75
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Aribisala BS, Riha RL, Valdes Hernandez M, Muñoz Maniega S, Cox S, Radakovic R, Taylor A, Pattie A, Corley J, Redmond P, Bastin ME, Starr J, Deary I, Wardlaw JM. Sleep and brain morphological changes in the eighth decade of life. Sleep Med 2019; 65:152-158. [PMID: 31706897 DOI: 10.1016/j.sleep.2019.07.015] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Revised: 07/03/2019] [Accepted: 07/09/2019] [Indexed: 12/13/2022]
Abstract
OBJECTIVE Sleep is important for brain health. We analysed associations between usual sleep habits and magnetic resonance imaging (MRI) markers of neurodegeneration (brain atrophy), vascular damage (white matter hyperintensities, WMH) and waste clearance (perivascular spaces, PVS) in older community-dwelling adults. METHOD We collected self-reported usual sleep duration, quality and medical histories from the Lothian Birth Cohort 1936 (LBC1936) age 76 years and performed brain MRI. We calculated sleep efficiency, measured WMH and brain volumes, quantified PVS, and assessed associations between sleep measures and brain markers in multivariate models adjusted for demographic and medical history variables. RESULTS In 457 subjects (53% males, mean age 76 ± 0.65 years), we found: brain and white matter loss with increased weekend daytime sleep (β = -0.114, P = 0.03; β = -0.122, P = 0.007 respectively), white matter loss with less efficient sleep (β = 0.132, P = 0.011) and PVS increased with interrupted sleep (OR 1.84 95% CI, P = 0.025). CONCLUSION Cross-sectional associations of sleep parameters with brain atrophy and more PVS suggest adverse relationships between usual sleep habits and brain health in older people that should be evaluated longitudinally.
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Affiliation(s)
- Benjamin S Aribisala
- Brain Research Imaging Centre, Division of Neuroimaging Sciences, University of Edinburgh, Edinburgh, UK; Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE), UK; Department of Computer Science, Lagos State University, Lagos, Nigeria
| | - Renata L Riha
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Department of Sleep Medicine, Royal Infirmary of Edinburgh, NHS Lothian, UK
| | - Maria Valdes Hernandez
- Brain Research Imaging Centre, Division of Neuroimaging Sciences, University of Edinburgh, Edinburgh, UK; Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE), UK
| | - Susana Muñoz Maniega
- Brain Research Imaging Centre, Division of Neuroimaging Sciences, University of Edinburgh, Edinburgh, UK; Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE), UK
| | - Simon Cox
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Ratko Radakovic
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Department of Psychology, University of Edinburgh, Edinburgh, UK; Faculty of Health and Medical Sciences, University of East Anglia, Norwich, UK; Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, UK
| | - Adele Taylor
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Alison Pattie
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Janie Corley
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Paul Redmond
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Mark E Bastin
- Brain Research Imaging Centre, Division of Neuroimaging Sciences, University of Edinburgh, Edinburgh, UK; Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE), UK
| | - John Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, UK
| | - Ian Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Department of Psychology, University of Edinburgh, Edinburgh, UK; Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, UK
| | - Joanna M Wardlaw
- Brain Research Imaging Centre, Division of Neuroimaging Sciences, University of Edinburgh, Edinburgh, UK; Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE), UK; UK Dementia Research Institute, University of Edinburgh, UK.
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Lysen TS, Wolters FJ, Luik AI, Ikram MK, Tiemeier H, Ikram MA. Subjective Sleep Quality is not Associated with Incident Dementia: The Rotterdam Study. J Alzheimers Dis 2019; 64:239-247. [PMID: 29865066 DOI: 10.3233/jad-180055] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
BACKGROUND Poor sleep is related to higher dementia risk, but this association is more equivocal for subjective sleep quality specifically. This study investigates the link between subjective sleep quality and dementia risk in the general population. OBJECTIVE To study the role of subjective sleep quality in the risk of dementia in the general population. METHODS In the prospective population-based Rotterdam Study, 4,835 persons (mean age 72 years, 58% women) underwent a home interview (2002- 2006) that included the validated Pittsburgh Sleep Quality Index (PSQI) to assess sleep quality. Participants were followed until 2015 for incident dementia, through in-person screening and continuous monitoring of medical records. We used Cox regression models to associate sleep quality with dementia risk, adjusting for age, sex, education, smoking, employment, coffee consumption, alcohol consumption, activities of daily living, cardiovascular risk factors, anxiety, depressive symptoms, cognition, and snoring. RESULTS During 41,385 person-years (8.5 years mean), 420 participants developed dementia, of whom 320 Alzheimer's disease (AD). Poorer subjective sleep quality was not associated with the risk of all-cause dementia (hazard ratio [HR] per SD increase in PSQI score: 0.91, 95% CI 0.82- 1.02) or AD (HR 0.92, 95% CI 0.81- 1.05). Similarly, individual components of the PSQI were also not associated with dementia. Several sensitivity analyses, i.e., excluding last years of the follow-up time duration or restricting to those with best MMSE scores at baseline, did not reveal subgroups with increased risks. CONCLUSION In this study, we found no association of poor subjective sleep quality with higher risk of dementia.
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Affiliation(s)
- Thom S Lysen
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Frank J Wolters
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.,Department of Neurology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Annemarie I Luik
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.,Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - M Kamran Ikram
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.,Department of Neurology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Henning Tiemeier
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.,Department of Psychiatry, Erasmus Medical Center, Rotterdam, The Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
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77
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Kocevska D, Cremers LGM, Lysen TS, Luik AI, Ikram MA, Vernooij MW, Tiemeier H. Sleep complaints and cerebral white matter: A prospective bidirectional study. J Psychiatr Res 2019; 112:77-82. [PMID: 30861469 DOI: 10.1016/j.jpsychires.2019.02.002] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2018] [Revised: 02/05/2019] [Accepted: 02/07/2019] [Indexed: 12/01/2022]
Abstract
Sleep complaints and brain changes co-occur in older adulthood, but the temporal relation between these processes is poorly understood. Poor sleep may destabilize axonal integrity and deteriorate white matter, but white matter pathology can also precede sleep complaints. Our objective was to explore a prospective, possibly bi-directional association between subjective sleep complaints and micro- and macro-structural properties of cerebral white matter. We assessed sleep complaints and brain magnetic resonance imaging at two time-points (2006-2008 and 2011-2014) in a population-based cohort including 2529 participants (56 ± 6 years old, 55% women). Sleep complaints were assessed with the Pittsburgh Sleep Quality Index. White matter lesion (WML) volume was assessed from fluid-attenuated inversion recovery images and global and tract-specific white matter microstructural integrity with diffusion tensor imaging. Sleep complaints at baseline were not associated with changes in WML volume or global white matter microstructure. In tract-specific analyses, however, sleep complaints were associated with reduced microstructural integrity in two white matter tracts projecting to the brainstem, but only when uncorrected for multiple testing. Likewise, we found no evidence for the reverse association; micro- or macro-structural properties of white matter were not related to changes in sleep complaints over time. This study provides evidence against the hypothesis that sleep complaints lead to white matter changes in the aging brain, and shows that white matter properties do not underlie sleep complaints in older persons. As subjective sleep complaints increase in later life, it is important to demonstrate that these are not etiologically related to cerebral white matter pathology.
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Affiliation(s)
- Desana Kocevska
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands; Department of Child and Adolescent Psychiatry, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Lotte G M Cremers
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands; Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Thom S Lysen
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Annemarie I Luik
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands; Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands; Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Neurology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Meike W Vernooij
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands; Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Henning Tiemeier
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands; Department of Child and Adolescent Psychiatry, Erasmus Medical Center, Rotterdam, the Netherlands; Department of Social and Behavioral Science, Harvard TH Chan School of Public Health, Boston, USA.
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78
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Bellesi M, Haswell JD, de Vivo L, Marshall W, Roseboom PH, Tononi G, Cirelli C. Myelin modifications after chronic sleep loss in adolescent mice. Sleep 2019; 41:4850494. [PMID: 29741724 DOI: 10.1093/sleep/zsy034] [Citation(s) in RCA: 63] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2017] [Indexed: 01/28/2023] Open
Abstract
Study Objectives Previous studies found that sleep loss can suppress the expression of genes implicated in myelination and can have adverse effects on oligodendrocyte precursor cells. On the other hand, sleep may favor myelination by promoting the expression of genes involved in its formation and maintenance. Albeit limited, these results suggest that sleep loss can have detrimental effects on the formation and maintenance of myelin. Methods Here, we tested this hypothesis by evaluating ultrastructural modifications of myelin in two brain regions (corpus callosum and lateral olfactory tract) of mice exposed to different periods of sleep loss, from a few hours of sleep deprivation to ~5 days of chronic sleep restriction. In addition, we measured the internodal length-the distance between consecutive nodes of Ranvier along the axon-and plasma corticosterone levels. Results We find that g-ratio-the ratio of the diameter of the axon itself to the outer diameter of the myelinated fiber-increases after chronic sleep loss. This effect is mediated by a reduction in myelin thickness and is not associated with changes in the internodal length. Relative to sleep, plasma corticosterone levels increase after acute sleep deprivation, but show only a trend to increase after chronic sleep loss. Conclusions Chronic sleep loss may negatively affect myelin.
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Affiliation(s)
- Michele Bellesi
- Department of Psychiatry, University of Wisconsin-Madison, Madison, WI.,Department of Experimental and Clinical Medicine, Section of Neuroscience and Cell Biology, Università Politecnica delle Marche, Ancona, Italy
| | | | - Luisa de Vivo
- Department of Psychiatry, University of Wisconsin-Madison, Madison, WI
| | - William Marshall
- Department of Psychiatry, University of Wisconsin-Madison, Madison, WI
| | | | - Giulio Tononi
- Department of Psychiatry, University of Wisconsin-Madison, Madison, WI
| | - Chiara Cirelli
- Department of Psychiatry, University of Wisconsin-Madison, Madison, WI
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Laniepce A, Segobin S, Lannuzel C, Boudehent C, Ritz L, Urso L, Vabret F, Eustache F, Beaunieux H, Rauchs G, Pitel A. Neuropsychological and Neuroimaging Examinations of Self‐Reported Sleep Quality in Alcohol Use Disorder With and Without Korsakoff's Syndrome. Alcohol Clin Exp Res 2019; 43:952-964. [DOI: 10.1111/acer.13997] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2018] [Accepted: 02/27/2019] [Indexed: 12/13/2022]
Affiliation(s)
- Alice Laniepce
- U1077, CHU de Caen GIP Cyceron, Neuropsychologie et Imagerie de la Mémoire Humaine Normandy Univ, UNICAEN, PSL Université EPHE INSERM Caen France
| | - Shailendra Segobin
- U1077, CHU de Caen GIP Cyceron, Neuropsychologie et Imagerie de la Mémoire Humaine Normandy Univ, UNICAEN, PSL Université EPHE INSERM Caen France
| | - Coralie Lannuzel
- U1077, CHU de Caen GIP Cyceron, Neuropsychologie et Imagerie de la Mémoire Humaine Normandy Univ, UNICAEN, PSL Université EPHE INSERM Caen France
| | - Céline Boudehent
- U1077, CHU de Caen GIP Cyceron, Neuropsychologie et Imagerie de la Mémoire Humaine Normandy Univ, UNICAEN, PSL Université EPHE INSERM Caen France
- Addiction Department Centre Hospitalier Universitaire de Caen Caen France
| | - Ludivine Ritz
- U1077, CHU de Caen GIP Cyceron, Neuropsychologie et Imagerie de la Mémoire Humaine Normandy Univ, UNICAEN, PSL Université EPHE INSERM Caen France
| | - Laurent Urso
- Addiction Department Centre Hospitalier de Roubaix Roubaix France
| | - François Vabret
- U1077, CHU de Caen GIP Cyceron, Neuropsychologie et Imagerie de la Mémoire Humaine Normandy Univ, UNICAEN, PSL Université EPHE INSERM Caen France
- Addiction Department Centre Hospitalier Universitaire de Caen Caen France
| | - Francis Eustache
- U1077, CHU de Caen GIP Cyceron, Neuropsychologie et Imagerie de la Mémoire Humaine Normandy Univ, UNICAEN, PSL Université EPHE INSERM Caen France
| | - Hélène Beaunieux
- U1077, CHU de Caen GIP Cyceron, Neuropsychologie et Imagerie de la Mémoire Humaine Normandy Univ, UNICAEN, PSL Université EPHE INSERM Caen France
| | - Géraldine Rauchs
- U1077, CHU de Caen GIP Cyceron, Neuropsychologie et Imagerie de la Mémoire Humaine Normandy Univ, UNICAEN, PSL Université EPHE INSERM Caen France
| | - Anne‐Lise Pitel
- U1077, CHU de Caen GIP Cyceron, Neuropsychologie et Imagerie de la Mémoire Humaine Normandy Univ, UNICAEN, PSL Université EPHE INSERM Caen France
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80
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Roles of aging in sleep. Neurosci Biobehav Rev 2019; 98:177-184. [DOI: 10.1016/j.neubiorev.2019.01.013] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2018] [Revised: 01/02/2019] [Accepted: 01/11/2019] [Indexed: 12/12/2022]
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81
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Gagnon JF, Lafrenière A, Rauchs G, Petit D, Carrier J. Sleep in Normal Aging, Alzheimer's Disease, and Mild Cognitive Impairment. HANDBOOK OF SLEEP RESEARCH 2019. [DOI: 10.1016/b978-0-12-813743-7.00045-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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82
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Williamson W, Huckstep OJ, Frangou E, Mohamed A, Tan C, Alsharqi M, Bertagnolli M, Lapidaire W, Newton J, Hanssen H, McManus R, Dawes H, Foster C, Lewandowski AJ, Leeson P. Trial of exercise to prevent HypeRtension in young adults (TEPHRA) a randomized controlled trial: study protocol. BMC Cardiovasc Disord 2018; 18:208. [PMID: 30400774 PMCID: PMC6220491 DOI: 10.1186/s12872-018-0944-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2018] [Accepted: 10/22/2018] [Indexed: 12/21/2022] Open
Abstract
Background Hypertension prevalence in young adults has increased and is associated with increased incidence of cerebrovascular and cardiovascular events in middle age. However, there is significant debate regards how to effectively manage young adult hypertension with recommendation to target lifestyle intervention. Surprisingly, no trials have investigated whether lifestyle advice developed for blood pressure control in older adults is effective in these younger populations. Methods/Design TEPHRA is an open label, parallel arm, randomised controlled trial in young adults with high normal and elevated blood pressure. The study will compare a supervised physical activity intervention consisting of 16 weeks structured exercise, physical activity self-monitoring and motivational coaching with a control group receiving usual care/minimal intervention. Two hundred young adults aged 18–35 years, including a subgroup of preterm born participants will be recruited through open recruitment and direct invitation. Participants will be randomised in a ratio of 1:1 to either the exercise intervention group or control group. Primary outcome will be ambulatory blood pressure monitoring at 16 weeks with measure of sustained effect at 12 months. Study measures include multimodal cardiovascular assessments; peripheral vascular measures, blood sampling, microvascular assessment, echocardiography, objective physical activity monitoring and a subgroup will complete multi-organ magnetic resonance imaging. Discussion The results of this trial will deliver a novel, randomised control trial that reports the effect of physical activity intervention on blood pressure integrated with detailed cardiovascular phenotyping in young adults. The results will support the development of future research and expand the evidence-based management of blood pressure in young adult populations. Trial Registration Clinicaltrials.gov registration number NCT02723552, registered on 30 March, 2016.
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Affiliation(s)
- Wilby Williamson
- Oxford Cardiovascular Clinical Research Facility, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, John Radcliffe Hospital, Oxford, OX3 9DU, UK.
| | - Odaro J Huckstep
- Oxford Cardiovascular Clinical Research Facility, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, John Radcliffe Hospital, Oxford, OX3 9DU, UK
| | - Eleni Frangou
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Afifah Mohamed
- Oxford Cardiovascular Clinical Research Facility, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, John Radcliffe Hospital, Oxford, OX3 9DU, UK
| | - Cheryl Tan
- Oxford Cardiovascular Clinical Research Facility, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, John Radcliffe Hospital, Oxford, OX3 9DU, UK
| | - Maryam Alsharqi
- Oxford Cardiovascular Clinical Research Facility, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, John Radcliffe Hospital, Oxford, OX3 9DU, UK
| | - Mariane Bertagnolli
- Oxford Cardiovascular Clinical Research Facility, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, John Radcliffe Hospital, Oxford, OX3 9DU, UK.,Centre Integré Universitaire de Santé et de Services Sociaux du Nord-de-l'Île-de-Montréal, Hôpital du Sacré-Cœur de Montréal Research Center, Montréal, Canada
| | - Winok Lapidaire
- Oxford Cardiovascular Clinical Research Facility, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, John Radcliffe Hospital, Oxford, OX3 9DU, UK
| | - Julia Newton
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Henner Hanssen
- Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland
| | - Richard McManus
- Nuffield Department of Primary Health Care Sciences, University of Oxford, Oxford, UK
| | - Helen Dawes
- Faculty of Health and Life Sciences, Oxford Brookes University, Oxford, UK
| | - Charlie Foster
- School of Policy Studies, University of Bristol, Bristol, UK
| | - Adam J Lewandowski
- Oxford Cardiovascular Clinical Research Facility, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, John Radcliffe Hospital, Oxford, OX3 9DU, UK.,Oxford Centre for Clinical Magnetic Resonance Research, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Paul Leeson
- Oxford Cardiovascular Clinical Research Facility, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, John Radcliffe Hospital, Oxford, OX3 9DU, UK
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83
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Fine L, Weinborn M, Ng A, Loft S, Li YR, Hodgson E, Parker D, Rainey Smith S, Sohrabi HR, Brown B, Martins R, Bucks RS. Sleep disruption explains age-related prospective memory deficits: implications for cognitive aging and intervention. AGING NEUROPSYCHOLOGY AND COGNITION 2018; 26:621-636. [DOI: 10.1080/13825585.2018.1513449] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Affiliation(s)
- Lara Fine
- School of Psychological Science, University of Western Australia, Perth, Australia
| | - Michael Weinborn
- School of Psychological Science, University of Western Australia, Perth, Australia
- School of Medical and Health Sciences, Edith Cowan University, Perth, Australia
- Ralph and Patricia Sarich Neuroscience Research Institute, Australian Alzheimer’s Research Foundation, Perth, Australia
| | - Amanda Ng
- School of Psychological Science, University of Western Australia, Perth, Australia
| | - Shayne Loft
- School of Psychological Science, University of Western Australia, Perth, Australia
| | - Yanqi Ryan Li
- School of Psychological Science, University of Western Australia, Perth, Australia
| | - Erica Hodgson
- School of Psychological Science, University of Western Australia, Perth, Australia
| | - Denise Parker
- School of Psychological Science, University of Western Australia, Perth, Australia
| | - Stephanie Rainey Smith
- School of Medical and Health Sciences, Edith Cowan University, Perth, Australia
- Ralph and Patricia Sarich Neuroscience Research Institute, Australian Alzheimer’s Research Foundation, Perth, Australia
| | - Hamid R. Sohrabi
- School of Medical and Health Sciences, Edith Cowan University, Perth, Australia
- Ralph and Patricia Sarich Neuroscience Research Institute, Australian Alzheimer’s Research Foundation, Perth, Australia
- Department of Biomedical Sciences, Macquarie University, Sydney, New South Wales, Australia
| | - Belinda Brown
- Ralph and Patricia Sarich Neuroscience Research Institute, Australian Alzheimer’s Research Foundation, Perth, Australia
- School of Psychology and Exercise Science, Murdoch University, Perth, Australia
| | - Ralph Martins
- School of Medical and Health Sciences, Edith Cowan University, Perth, Australia
- Ralph and Patricia Sarich Neuroscience Research Institute, Australian Alzheimer’s Research Foundation, Perth, Australia
- Department of Biomedical Sciences, Macquarie University, Sydney, New South Wales, Australia
- School of Psychiatry and Clinical Neurosciences, University of Western Australia, Perth, Australia
| | - Romola S. Bucks
- School of Psychological Science, University of Western Australia, Perth, Australia
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84
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Williamson W, Lewandowski AJ, Forkert ND, Griffanti L, Okell TW, Betts J, Boardman H, Siepmann T, McKean D, Huckstep O, Francis JM, Neubauer S, Phellan R, Jenkinson M, Doherty A, Dawes H, Frangou E, Malamateniou C, Foster C, Leeson P. Association of Cardiovascular Risk Factors With MRI Indices of Cerebrovascular Structure and Function and White Matter Hyperintensities in Young Adults. JAMA 2018; 320:665-673. [PMID: 30140877 PMCID: PMC6142949 DOI: 10.1001/jama.2018.11498] [Citation(s) in RCA: 112] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2017] [Accepted: 07/22/2018] [Indexed: 12/28/2022]
Abstract
Importance Risk of stroke and brain atrophy in later life relate to levels of cardiovascular risk in early adulthood. However, it is unknown whether cerebrovascular changes are present in young adults. Objective To examine relationships between modifiable cardiovascular risk factors and cerebrovascular structure, function, and white matter integrity in young adults. Design, Setting, and Participants A cross-sectional observational study of 125 young adults (aged 18-40 years) without clinical evidence of cerebrovascular disease. Data collection was completed between August 2014 and May 2016 at the University of Oxford, United Kingdom. Final data collection was completed on May 31, 2016. Exposures The number of modifiable cardiovascular risk factors at recommended levels, based on the following criteria: body mass index (BMI) <25; highest tertile of cardiovascular fitness and/or physical activity; alcohol consumption <8 drinks/week; nonsmoker for >6 months; blood pressure on awake ambulatory monitoring <130/80 mm Hg; a nonhypertensive diastolic response to exercise (peak diastolic blood pressure <90 mm Hg); total cholesterol <200 mg/dL; and fasting glucose <100mg/dL. Each risk factor at the recommended level was assigned a value of 1, and participants were categorized from 0-8, according to the number of risk factors at recommended levels, with higher numbers indicating healthier risk categories. Main Outcomes and Measures Cerebral vessel density, caliber and tortuosity, brain white matter hyperintensity lesion count. In a subgroup (n = 52), brain blood arrival time and cerebral blood flow assessed by brain magnetic resonance imaging (MRI). Results A total of 125 participants, mean (SD) age 25 (5) years, 49% women, with a mean (SD) score of 6.0 (1.4) modifiable cardiovascular risk factors at recommended levels, completed the cardiovascular risk assessment and brain MRI protocol. Cardiovascular risk factors were correlated with cerebrovascular morphology and white matter hyperintensity count in multivariable models. For each additional modifiable risk factor categorized as healthy, vessel density was greater by 0.3 vessels/cm3 (95% CI, 0.1-0.5; P = .003), vessel caliber was greater by 8 μm (95% CI, 3-13; P = .01), and white matter hyperintensity lesions were fewer by 1.6 lesions (95% CI, -3.0 to -0.5; P = .006). Among the 52 participants with available data, cerebral blood flow varied with vessel density and was 2.5 mL/100 g/min higher for each healthier category of a modifiable risk factor (95% CI, 0.16-4.89; P = .03). Conclusions and Relevance In this preliminary study involving young adults without clinical evidence of cerebrovascular disease, a greater number of modifiable cardiovascular risk factors at recommended levels was associated with higher cerebral vessel density and caliber, higher cerebral blood flow, and fewer white matter hyperintensities. Further research is needed to verify these findings and determine their clinical importance.
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Affiliation(s)
- Wilby Williamson
- Oxford Cardiovascular Clinical Research Facility, University of Oxford, Oxford, United Kingdom
| | - Adam J. Lewandowski
- Oxford Cardiovascular Clinical Research Facility, University of Oxford, Oxford, United Kingdom
- Oxford Centre for Clinical Magnetic Resonance Research, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Nils D. Forkert
- Department of Radiology and Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Ludovica Griffanti
- Wellcome Centre for Integrative Neuroimaging, FMRIB Division, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Thomas W. Okell
- Wellcome Centre for Integrative Neuroimaging, FMRIB Division, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Jill Betts
- Oxford Cardiovascular Clinical Research Facility, University of Oxford, Oxford, United Kingdom
| | - Henry Boardman
- Oxford Cardiovascular Clinical Research Facility, University of Oxford, Oxford, United Kingdom
| | - Timo Siepmann
- Department of Neurology, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - David McKean
- Department of Radiology, Stoke Mandeville Hospital, Buckinghamshire NHS Trust, Buckinghamshire, England, United Kingdom
| | - Odaro Huckstep
- Oxford Cardiovascular Clinical Research Facility, University of Oxford, Oxford, United Kingdom
| | - Jane M. Francis
- Oxford Centre for Clinical Magnetic Resonance Research, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Stefan Neubauer
- Oxford Centre for Clinical Magnetic Resonance Research, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Renzo Phellan
- Department of Radiology and Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Mark Jenkinson
- Wellcome Centre for Integrative Neuroimaging, FMRIB Division, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Aiden Doherty
- Nuffield Department of Population Health, BHF Centre of Research Excellence and Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom
| | - Helen Dawes
- Faculty of Health and Life Sciences, Oxford Brookes University, Oxford, Oxford, United Kingdom
| | - Eleni Frangou
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, United Kingdom
| | - Christina Malamateniou
- School of Biomedical Engineering and Imaging Sciences, King's College London, United Kingdom
- Department of Family Care and Mental Health, University of Greenwich, London, United Kingdom
| | - Charlie Foster
- School of Policy Studies, University of Bristol, Bristol, United Kingdom
| | - Paul Leeson
- Oxford Cardiovascular Clinical Research Facility, University of Oxford, Oxford, United Kingdom
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85
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Juvodden HT, Alnæs D, Lund MJ, Agartz I, Andreassen OA, Dietrichs E, Thorsby PM, Westlye LT, Knudsen S. Widespread white matter changes in post-H1N1 patients with narcolepsy type 1 and first-degree relatives. Sleep 2018; 41:5054638. [PMID: 30016530 DOI: 10.1093/sleep/zsy145] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2018] [Indexed: 11/12/2022] Open
Affiliation(s)
- Hilde T Juvodden
- Department of Rare Disorders, Norwegian Centre of Expertise for Neurodevelopmental Disorders and Hypersomnias (NevSom), Oslo University Hospital, Ullevål, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Dag Alnæs
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Martina J Lund
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Ingrid Agartz
- NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - Ole A Andreassen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Espen Dietrichs
- Department of Neurology, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Per M Thorsby
- Department of Medical Biochemistry, Hormone Laboratory, Oslo University Hospital, Aker, Norway
| | - Lars T Westlye
- NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Stine Knudsen
- Department of Rare Disorders, Norwegian Centre of Expertise for Neurodevelopmental Disorders and Hypersomnias (NevSom), Oslo University Hospital, Ullevål, Norway
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86
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Raikes AC, Bajaj S, Dailey NS, Smith RS, Alkozei A, Satterfield BC, Killgore WDS. Diffusion Tensor Imaging (DTI) Correlates of Self-Reported Sleep Quality and Depression Following Mild Traumatic Brain Injury. Front Neurol 2018; 9:468. [PMID: 29973910 PMCID: PMC6019466 DOI: 10.3389/fneur.2018.00468] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2017] [Accepted: 05/31/2018] [Indexed: 12/12/2022] Open
Abstract
Background: Mild traumatic brain injuries (mTBIs) are a significant social, sport, and military health issue. In spite of advances in the clinical management of these injuries, the underlying pathophysiology is not well-understood. There is a critical need to advance objective biomarkers, allowing the identification and tracking of the long-term evolution of changes resulting from mTBI. Diffusion-weighted imaging (DWI) allows for the assessment of white-matter properties in the brain and shows promise as a suitable biomarker of mTBI pathophysiology. Methods: 34 individuals within a year of an mTBI (age: 24.4 ± 7.4) and 18 individuals with no history of mTBI (age: 23.2 ± 3.4) participated in this study. Participants completed self-report measures related to functional outcomes, psychological health, post-injury symptoms, and sleep, and underwent a neuroimaging session that included DWI. Whole-brain white matter was skeletonized using tract-based spatial statistics (TBSS) and compared between groups as well as correlated within-group with the self-report measures. Results: There were no statistically significant anatomical differences between the two groups. After controlling for time since injury, fractional anisotropy (FA) demonstrated a negative correlation with sleep quality scores (higher FA was associated with better sleep quality) and increasing depressive symptoms in the mTBI participants. Conversely, mean (MD) and radial diffusivity (RD) demonstrated positive correlations with sleep quality scores (higher RD was associated with worse sleep quality) and increasing depressive symptoms. These correlations were observed bilaterally in the internal capsule (anterior and posterior limbs), corona radiata (anterior and superior), fornix, and superior fronto-occipital fasciculi. Conclusion: The results of this study indicate that the clinical presentation of mTBI, particularly with respect to depression and sleep, is associated with reduced white-matter integrity in multiple areas of the brain, even after controlling for time since injury. These areas are generally associated not only with sleep and emotion regulation but also cognition. Consequently, the onset of depression and sleep dysfunction as well as cognitive impairments following mTBI may be closely related to each other and to white-matter integrity throughout the brain.
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Affiliation(s)
- Adam C Raikes
- Social, Cognitive, and Affective Neuroscience Laboratory, Department of Psychiatry, College of Medicine, University of Arizona, Tucson, AZ, United States
| | - Sahil Bajaj
- Social, Cognitive, and Affective Neuroscience Laboratory, Department of Psychiatry, College of Medicine, University of Arizona, Tucson, AZ, United States
| | - Natalie S Dailey
- Social, Cognitive, and Affective Neuroscience Laboratory, Department of Psychiatry, College of Medicine, University of Arizona, Tucson, AZ, United States
| | - Ryan S Smith
- Social, Cognitive, and Affective Neuroscience Laboratory, Department of Psychiatry, College of Medicine, University of Arizona, Tucson, AZ, United States
| | - Anna Alkozei
- Social, Cognitive, and Affective Neuroscience Laboratory, Department of Psychiatry, College of Medicine, University of Arizona, Tucson, AZ, United States
| | - Brieann C Satterfield
- Social, Cognitive, and Affective Neuroscience Laboratory, Department of Psychiatry, College of Medicine, University of Arizona, Tucson, AZ, United States
| | - William D S Killgore
- Social, Cognitive, and Affective Neuroscience Laboratory, Department of Psychiatry, College of Medicine, University of Arizona, Tucson, AZ, United States
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87
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Walhovd KB, Fjell AM, Westerhausen R, Nyberg L, Ebmeier KP, Lindenberger U, Bartrés-Faz D, Baaré WFC, Siebner HR, Henson R, Drevon CA, Knudsen GP, Budin-Ljøsne I, Penninx BWJH, Ghisletta P, Rogeberg O, Tyler L, Bertram L. Healthy minds from 0-100 years: Optimising the use of European brain imaging cohorts ("Lifebrain"). Eur Psychiatry 2017; 47:76-87. [PMID: 29127911 DOI: 10.1016/j.eurpsy.2017.10.005] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2017] [Revised: 10/04/2017] [Accepted: 10/05/2017] [Indexed: 11/17/2022] Open
Abstract
The main objective of "Lifebrain" is to identify the determinants of brain, cognitive and mental (BCM) health at different stages of life. By integrating, harmonising and enriching major European neuroimaging studies across the life span, we will merge fine-grained BCM health measures of more than 5,000 individuals. Longitudinal brain imaging, genetic and health data are available for a major part, as well as cognitive and mental health measures for the broader cohorts, exceeding 27,000 examinations in total. By linking these data to other databases and biobanks, including birth registries, national and regional archives, and by enriching them with a new online data collection and novel measures, we will address the risk factors and protective factors of BCM health. We will identify pathways through which risk and protective factors work and their moderators. Exploiting existing European infrastructures and initiatives, we hope to make major conceptual, methodological and analytical contributions towards large integrative cohorts and their efficient exploitation. We will thus provide novel information on BCM health maintenance, as well as the onset and course of BCM disorders. This will lay a foundation for earlier diagnosis of brain disorders, aberrant development and decline of BCM health, and translate into future preventive and therapeutic strategies. Aiming to improve clinical practice and public health we will work with stakeholders and health authorities, and thus provide the evidence base for prevention and intervention.
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Affiliation(s)
- K B Walhovd
- Department of Psychology, University of Oslo Centre for Lifespan Changes in Brain and Cognition (UiO), Harald Schelderups Hus, Forskningsveien 3A, N-0373 Oslo, Norway.
| | - A M Fjell
- Department of Psychology, University of Oslo Centre for Lifespan Changes in Brain and Cognition (UiO), Harald Schelderups Hus, Forskningsveien 3A, N-0373 Oslo, Norway
| | - R Westerhausen
- Department of Psychology, University of Oslo Centre for Lifespan Changes in Brain and Cognition (UiO), Harald Schelderups Hus, Forskningsveien 3A, N-0373 Oslo, Norway
| | - L Nyberg
- Centre for Functional Brain Imaging (Umeå), Umeå Universitet, SE-90187 Umeå, Sweden.
| | - K P Ebmeier
- Department of Psychiatry (UOXF), University of Oxford Wellcome Centre for Integrative Neuroimaging, Warneford Hospital, University of Oxford, OX37JX Oxford, UK.
| | - U Lindenberger
- Centre for Lifespan Psychology (MPIB), Max-Planck Institute for Human Development, Lentzeallee 94, D-14195 Berlin, Germany.
| | - D Bartrés-Faz
- Facultat de Medicina, Campus Clínic, C/. Casanova, University of Barcelona Brain Stimulation Lab (UB), 143, Ala Nord, 5a planta, S-08036 Barcelona, Spain.
| | - W F C Baaré
- Region Hovedstaden (RegionH), Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Section 714, Kettegard Allé 30, DK-2650 Hvidovre, Denmark.
| | - H R Siebner
- Region Hovedstaden (RegionH), Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Section 714, Kettegard Allé 30, DK-2650 Hvidovre, Denmark
| | - R Henson
- Medical Research Council Cognition and Brain Science Unit (MRC), University of Cambridge, 15, Chaucer Road, CB2 7EF Cambridge, UK.
| | - C A Drevon
- Vitas AS (Analytical Services), Gaustadalléen 21, N-0349 Oslo, Norway.
| | - G P Knudsen
- Norwegian Institute of Public Health Oslo (NIPH), PO Box 4404 Nydalen, N-0403 Oslo, Norway.
| | - I Budin-Ljøsne
- Norwegian Institute of Public Health Oslo (NIPH), PO Box 4404 Nydalen, N-0403 Oslo, Norway
| | - B W J H Penninx
- VU University Medical Centre (VUmc), PO Box 7057, NL-1007 Amsterdam, MB, USA.
| | - P Ghisletta
- Research Group: Methodology and Data Analysis, Faculty of Psychology and Educational Sciences, University of Geneva (UNIGE), Sandrine Amstutz, Uni Mail, 4(e) étage, boulevard du Pont-d'Arve 40, 1205 Geneva, Switzerland; Swiss Distance Learning University, Überlandstrasse 12, Postfach 689 CH-3900 Brig, Switzerland.
| | - O Rogeberg
- Ragnar Frisch Centre for Economic Research (Frisch), Gaustadalleen 21, N-0349 Oslo, Norway.
| | - L Tyler
- University of Cambridge Department of Psychology (UCAM), Downing Street, CB2 3EB Cambridge, UK.
| | - L Bertram
- University of Lübeck Interdisciplinary Platform for Genome Analytics (LIGA-UzL), University of Lübeck, Maria-Goeppert-Str. 1 (MFC1), 23562 D-Lübeck, Germany.
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