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Jakobsen P, Côté-Allard U, Riegler MA, Stabell LA, Stautland A, Nordgreen T, Torresen J, Fasmer OB, Oedegaard KJ. Early warning signals observed in motor activity preceding mood state change in bipolar disorder. Bipolar Disord 2024; 26:468-478. [PMID: 38639725 DOI: 10.1111/bdi.13430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/20/2024]
Abstract
INTRODUCTION Alterations in motor activity are well-established symptoms of bipolar disorder, and time series of motor activity can be considered complex dynamical systems. In such systems, early warning signals (EWS) occur in a critical transition period preceding a sudden shift (tipping point) in the system. EWS are statistical observations occurring due to a system's declining ability to maintain homeostasis when approaching a tipping point. The aim was to identify critical transition periods preceding bipolar mood state changes. METHODS Participants with a validated bipolar diagnosis were included to a one-year follow-up study, with repeated assessments of the participants' mood. Motor activity was recorded continuously by a wrist-worn actigraph. Participants assessed to have relapsed during follow-up were analyzed. Recognized EWS features were extracted from the motor activity data and analyzed by an unsupervised change point detection algorithm, capable of processing multi-dimensional data and developed to identify when the statistical property of a time series changes. RESULTS Of 49 participants, four depressive and four hypomanic/manic relapses among six individuals occurred, recording actigraphy for 23.8 ± 0.2 h/day, for 39.8 ± 4.6 days. The algorithm detected change points in the time series and identified critical transition periods spanning 13.5 ± 7.2 days. For depressions 11.4 ± 1.8, and hypomania/mania 15.6 ± 10.2 days. CONCLUSION The change point detection algorithm seems capable of recognizing impending mood episodes in continuous flowing data streams. Hence, we present an innovative method for forecasting approaching relapses to improve the clinical management of bipolar disorder.
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Affiliation(s)
- Petter Jakobsen
- Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | | | | | - Lena Antonsen Stabell
- Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Andrea Stautland
- Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Tine Nordgreen
- Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Jim Torresen
- Department of Informatics, University of Oslo, Oslo, Norway
| | - Ole Bernt Fasmer
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Ketil Joachim Oedegaard
- Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
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Maruani J, Mauries S, Zehani F, Lejoyeux M, Geoffroy PA. Exploring actigraphy as a digital phenotyping measure: A study on differentiating psychomotor agitation and retardation in depression. Acta Psychiatr Scand 2024. [PMID: 39030838 DOI: 10.1111/acps.13739] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Revised: 07/07/2024] [Accepted: 07/11/2024] [Indexed: 07/22/2024]
Abstract
INTRODUCTION Psychomotor activity stands out as a crucial symptom in characterizing behaviors associated with depression. This study aims to explore the potential of actigraphy as a tool for digital phenotyping in characterizing symptoms of psychomotor agitation and retardation, which are clinically challenging dimensions to capture, in patients diagnosed with major depressive episode (MDE) according to DSM-5 criteria. METHODS We compared rest-activity circadian rhythm biomarkers measured by the Motion Watch 8 actigraphy between 58 (78.4%) patients with MDE and psychomotor retardation (PMR), and 16 (21.6%) patients with MDE and psychomotor agitation (PMA), according to DSM-5 criteria. RESULTS Actigraphy allowed to objectively report PMA through heightened activity over a 24-h period, while PMR manifests as reduced activity during the most active 10 h. Lower rest-activity rhythm (RAR) amplitude in PMR was accompanied by increased irregularities in intra- and inter-day rhythms. Interestingly, actigraphy emerges as an objective tool to measure the characteristics of the active and rest periods, free from the confounding effects of sleep disturbances. Indeed, no differences in sleep disturbances were identified between patients exhibiting psychomotor agitation and those displaying PMR. CONCLUSION Digital phenotyping through actigraphy may aid in distinguishing psychomotor retardation and psychomotor agitation allowing for a more precise characterization of the depression phenotype. When integrated with clinical assessment, measurements from actigraphy could offer additional insights into activity rhythms alongside subjective assessments and hold the potential to augment existing clinical decision-making processes in psychiatry.
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Affiliation(s)
- Julia Maruani
- Département de Psychiatrie et d'addictologie, AP-HP, GHU Paris Nord, DMU Neurosciences, Hôpital Bichat - Claude Bernard, Paris, France
- Université Paris Cité, NeuroDiderot, Inserm, Paris, France
- Centre ChronoS, GHU Paris - Psychiatrie & Neurosciences, Paris, France
| | - Sibylle Mauries
- Département de Psychiatrie et d'addictologie, AP-HP, GHU Paris Nord, DMU Neurosciences, Hôpital Bichat - Claude Bernard, Paris, France
- Université Paris Cité, NeuroDiderot, Inserm, Paris, France
- Centre ChronoS, GHU Paris - Psychiatrie & Neurosciences, Paris, France
| | - Feriel Zehani
- Centre ChronoS, GHU Paris - Psychiatrie & Neurosciences, Paris, France
| | - Michel Lejoyeux
- Département de Psychiatrie et d'addictologie, AP-HP, GHU Paris Nord, DMU Neurosciences, Hôpital Bichat - Claude Bernard, Paris, France
- Université Paris Cité, NeuroDiderot, Inserm, Paris, France
- Centre ChronoS, GHU Paris - Psychiatrie & Neurosciences, Paris, France
| | - Pierre A Geoffroy
- Département de Psychiatrie et d'addictologie, AP-HP, GHU Paris Nord, DMU Neurosciences, Hôpital Bichat - Claude Bernard, Paris, France
- Université Paris Cité, NeuroDiderot, Inserm, Paris, France
- Centre ChronoS, GHU Paris - Psychiatrie & Neurosciences, Paris, France
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Piccin J, Viduani A, Buchweitz C, Pereira RB, Zimerman A, Amando GR, Cosenza V, Ferreira LZ, McMahon NA, Melo RF, Richter D, Reckziegel FD, Rohrsetzer F, Souza L, Tonon AC, Costa-Valle MT, Zajkowska Z, Araújo RM, Hauser TU, van Heerden A, Hidalgo MP, Kohrt BA, Mondelli V, Swartz JR, Fisher HL, Kieling C. Prospective Follow-Up of Adolescents With and at Risk for Depression: Protocol and Methods of the Identifying Depression Early in Adolescence Risk Stratified Cohort Longitudinal Assessments. JAACAP OPEN 2024; 2:145-159. [PMID: 38863682 PMCID: PMC11163476 DOI: 10.1016/j.jaacop.2023.11.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Accepted: 12/07/2023] [Indexed: 06/13/2024]
Abstract
Objective To present the protocol and methods for the prospective longitudinal assessments-including clinical and digital phenotyping approaches-of the Identifying Depression Early in Adolescence Risk Stratified Cohort (IDEA-RiSCo) study, which comprises Brazilian adolescents stratified at baseline by risk of developing depression or presence of depression. Method Of 7,720 screened adolescents aged 14 to 16 years, we recruited 150 participants (75 boys, 75 girls) based on a composite risk score: 50 with low risk for developing depression (LR), 50 with high risk for developing depression (HR), and 50 with an active untreated major depressive episode (MDD). Three annual follow-up assessments were conducted, involving clinical measures (parent- and adolescent-reported questionnaires and psychiatrist assessments), active and passive data sensing via smartphones, and neurobiological measures (neuroimaging and biological material samples). Retention rates were 96% (Wave 1), 94% (Wave 2), and 88% (Wave 3), with no significant differences by sex or group (p > .05). Participants highlighted their familiarity with the research team and assessment process as a motivator for sustained engagement. Discussion This protocol relied on novel aspects, such as the use of a WhatsApp bot, which is particularly pertinent for low- to-middle-income countries, and the collection of information from diverse sources in a longitudinal design, encompassing clinical data, self-reports, parental reports, Global Positioning System (GPS) data, and ecological momentary assessments. The study engaged adolescents over an extensive period and demonstrated the feasibility of conducting a prospective follow-up study with a risk-enriched cohort of adolescents in a middle-income country, integrating mobile technology with traditional methodologies to enhance longitudinal data collection.
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Affiliation(s)
- Jader Piccin
- Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
- Prodia - Child & Adolescent Depression Program, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Brazil
| | - Anna Viduani
- Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
- Prodia - Child & Adolescent Depression Program, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Brazil
| | - Claudia Buchweitz
- Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
- Prodia - Child & Adolescent Depression Program, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Brazil
| | - Rivka B. Pereira
- Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
- Prodia - Child & Adolescent Depression Program, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Brazil
| | - Aline Zimerman
- Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
- Prodia - Child & Adolescent Depression Program, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Brazil
| | - Guilherme R. Amando
- Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
- Laboratório de Cronobiologia e Sono, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Victor Cosenza
- Universidade Federal de Pelotas (UFPEL), Pelotas, Brazil
| | | | - Natália A.G. McMahon
- Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
- Prodia - Child & Adolescent Depression Program, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Brazil
| | | | - Danyella Richter
- Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
- Prodia - Child & Adolescent Depression Program, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Brazil
| | - Frederico D.S. Reckziegel
- Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
- Prodia - Child & Adolescent Depression Program, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Brazil
| | - Fernanda Rohrsetzer
- Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
- Prodia - Child & Adolescent Depression Program, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Brazil
| | - Laila Souza
- Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
- Prodia - Child & Adolescent Depression Program, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Brazil
| | - André C. Tonon
- Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
- Laboratório de Cronobiologia e Sono, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Marina Tuerlinckx Costa-Valle
- Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
- Prodia - Child & Adolescent Depression Program, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Brazil
| | - Zuzanna Zajkowska
- King’s College London, Institute of Psychiatry, Psychology & Neuroscience, London, United Kingdom
| | | | - Tobias U. Hauser
- Max Planck University College London Centre for Computational Psychiatry and Ageing Research, University College London, London, United Kingdom, Wellcome Centre for Human Neuroimaging, University College London, London, United Kingdom and with Eberhard Karls University of Tübingen, Tübingen, Germany
| | - Alastair van Heerden
- Human and Social Development, Human Sciences Research Council, Pietermaritzburg, South Africa and Medical Research Council/Wits Developmental Pathways for Health Research Unit, University of the Witwatersrand, Johannesburg, South Africa
| | - Maria Paz Hidalgo
- Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
- Laboratório de Cronobiologia e Sono, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | | | - Valeria Mondelli
- King’s College London, Institute of Psychiatry, Psychology & Neuroscience, London, United Kingdom
- National Institute for Health and Care Research Maudsley Mental Health Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | | | - Helen L. Fisher
- King’s College London, Institute of Psychiatry, Psychology & Neuroscience, London, United Kingdom
- ESRC Centre for Society and Mental Health, King’s College London, London, United Kingdom
| | - Christian Kieling
- Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
- Prodia - Child & Adolescent Depression Program, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Brazil
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Walsh RFL, Maddox MA, Smith LT, Liu RT, Alloy LB. Social and circadian rhythm dysregulation and suicide: A systematic review and meta-analysis. Neurosci Biobehav Rev 2024; 158:105560. [PMID: 38272337 PMCID: PMC10982958 DOI: 10.1016/j.neubiorev.2024.105560] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 01/18/2024] [Accepted: 01/19/2024] [Indexed: 01/27/2024]
Abstract
This systematic review of 52 studies provides a quantitative synthesis of the empirical literature on social and circadian rhythm correlates of suicidal thoughts and behaviors (STB). Small-to-medium pooled effect sizes were observed for associations between evening chronotype and STB and suicidal ideation (SI), although the pooled effect size diminished when accounting for publication bias. Three studies employed longitudinal designs and suggested eveningness was predictive of future STB, with a small-to-medium effect size. Social rhythm irregularity was also a significant correlate of STB with pooled effect sizes in the medium range. Overall circadian rhythm disruption was not associated with STB, although certain circadian rhythm metrics, including mean daytime activity, circadian rhythm sleep-wake disorder diagnosis, and actigraphy-assessed amplitude were associated with STB. Pooled effect sizes for these indices were in the medium to large range. There is a need for additional longitudinal research on actigraphy-based circadian parameters and objective markers of circadian phase (i.e., dim-light melatonin onset) to gain a clearer understanding of associations of endogenous circadian function and STB beyond that which can be captured via self-report.
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Affiliation(s)
- Rachel F L Walsh
- Department of Psychology and Neuroscience, Temple University, USA.
| | | | - Logan T Smith
- Department of Psychology and Neuroscience, Temple University, USA
| | - Richard T Liu
- Department of Psychiatry, Massachusetts General Hospital, USA; Department of Psychiatry, Harvard Medical School, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, USA
| | - Lauren B Alloy
- Department of Psychology and Neuroscience, Temple University, USA
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Madsen HØ, Hageman I, Martiny K, Faurholt-Jepsen M, Kolko M, Henriksen TEG, Kessing LV. BLUES - stabilizing mood and sleep with blue blocking eyewear in bipolar disorder - a randomized controlled trial study protocol. Ann Med 2023; 55:2292250. [PMID: 38109922 PMCID: PMC10732202 DOI: 10.1080/07853890.2023.2292250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/10/2023] [Accepted: 11/26/2023] [Indexed: 12/20/2023] Open
Abstract
INTRODUCTION Chronotherapeutic interventions for bipolar depression and mania are promising interventions associated with rapid response and benign side effect profiles. Filtering of biologically active short wavelength (blue) light by orange tinted eyewear has been shown to induce antimanic and sleep promoting effects in inpatient mania. We here describe a study protocol assessing acute and long-term stabilizing effects of blue blocking (BB) glasses in outpatient treatment of bipolar disorder. PATIENTS AND METHODS A total of 150 outpatients with bipolar disorder and current symptoms of (hypo)-mania will be randomized 1:1 to wear glasses with either high (99%) (intervention group) or low (15%) (control group) filtration of short wavelength light (<500 nm). Following a baseline assessment including ratings of manic and depressive symptoms, sleep questionnaires, pupillometric evaluation and 48-h actigraphy, participants will wear the glasses from 6 PM to 8 AM for 7 consecutive days. The primary outcome is the between group difference in change in Young Mania Rating Scale scores after 7 days of intervention (day 9). Following the initial treatment period, the long-term stabilizing effects on mood and sleep will be explored in a 3-month treatment paradigm, where the period of BB treatment is tailored to the current symptomatology using a 14-h antimanic schedule during (hypo-) manic episodes (BB glasses or dark bedroom from 6 PM to 8 AM) and a 2-h maintenance schedule (BB glasses on two hours prior to bedtime/dark bedroom) during euthymic and depressive states.The assessments will be repeated at follow-up visits after 1 and 3 months. Throughout the 3-month study period, participants will perform continuous daily self-monitoring of mood, sleep and activity in a smartphone-based app. Secondary outcomes include between-group differences in actigraphic sleep parameters on day 9 and in day-to-day instability in mood, sleep and activity, general functioning and objective sleep markers (actigraphy) at weeks 5 and 15. TRIAL REGISTRATION The trial will be registered at www.clinicaltrials.gov prior to initiation and has not yet received a trial reference. ADMINISTRATIVE INFORMATION The current paper is based on protocol version 1.0_31.07.23. Trial sponsor: Lars Vedel Kessing.
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Affiliation(s)
- Helle Østergaard Madsen
- Copenhagen Affective Disorder Research Centre (CADIC), Mental Health Centre Copenhagen, Copenhagen, Denmark
| | - Ida Hageman
- Mental Health Services, Capital Region of Denmark, Copenhagen, Denmark
| | - Klaus Martiny
- Copenhagen Affective Disorder Research Centre (CADIC), Mental Health Centre Copenhagen, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Maria Faurholt-Jepsen
- Copenhagen Affective Disorder Research Centre (CADIC), Mental Health Centre Copenhagen, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Miriam Kolko
- Department of Ophthalmology, Rigshospitalet, Glostrup, Denmark
- Department of Drug Design and Pharmacology, University of Copenhagen, Copenhagen, Denmark
| | - Tone E. G. Henriksen
- Department of Research and Innovation, Division of Mental Health Care, Valen Hospital, Fonna Health Authority, Kvinnherad, Norway
| | - Lars Vedel Kessing
- Copenhagen Affective Disorder Research Centre (CADIC), Mental Health Centre Copenhagen, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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6
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Frid LM, Kessler U, Ousdal OT, Hammar Å, Haavik J, Riemer F, Hirnstein M, Ersland L, Erchinger VJ, Ronold EH, Nygaard G, Jakobsen P, Craven AR, Osnes B, Alisauskiene R, Bartsch H, Le Hellard S, Stavrum AK, Oedegaard KJ, Oltedal L. Neurobiological mechanisms of ECT and TMS treatment in depression: study protocol of a multimodal magnetic resonance investigation. BMC Psychiatry 2023; 23:791. [PMID: 37904091 PMCID: PMC10617235 DOI: 10.1186/s12888-023-05239-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 09/30/2023] [Indexed: 11/01/2023] Open
Abstract
BACKGROUND Noninvasive neurostimulation treatments are increasingly being used to treat major depression, which is a common cause of disability worldwide. While electroconvulsive therapy (ECT) and transcranial magnetic stimulation (TMS) are both effective in treating depressive episodes, their mechanisms of action are, however, not completely understood. ECT is given under general anesthesia, where an electrical pulse is administered through electrodes placed on the patient's head to trigger a seizure. ECT is used for the most severe cases of depression and is usually not prescribed before other options have failed. With TMS, brain stimulation is achieved through rapidly changing magnetic fields that induce electric currents underneath a ferromagnetic coil. Its efficacy in depressive episodes has been well documented. This project aims to identify the neurobiological underpinnings of both the effects and side effects of the neurostimulation techniques ECT and TMS. METHODS The study will utilize a pre-post case control longitudinal design. The sample will consist of 150 subjects: 100 patients (bipolar and major depressive disorder) who are treated with either ECT (N = 50) or TMS (N = 50) and matched healthy controls (N = 50) not receiving any treatment. All participants will undergo multimodal magnetic resonance imaging (MRI) as well as neuropsychological and clinical assessments at multiple time points before, during and after treatment. Arterial spin labeling MRI at baseline will be used to test whether brain perfusion can predict outcomes. Signs of brain disruption, potentiation and rewiring will be explored with resting-state functional MRI, magnetic resonance spectroscopy and multishell diffusion weighted imaging (DWI). Clinical outcome will be measured by clinician assessed and patient reported outcome measures. Memory-related side effects will be investigated, and specific tests of spatial navigation to test hippocampal function will be administered both before and after treatment. Blood samples will be stored in a biobank for future analyses. The observation time is 6 months. Data will be explored in light of the recently proposed disrupt, potentiate and rewire (DPR) hypothesis. DISCUSSION The study will contribute data and novel analyses important for our understanding of neurostimulation as well as for the development of enhanced and more personalized treatment. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT05135897.
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Affiliation(s)
- Leila Marie Frid
- Mohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Bergen, Norway
| | - Ute Kessler
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
| | - Olga Therese Ousdal
- Mohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Bergen, Norway
- Department of Biomedicine, University of Bergen, Bergen, Norway
| | - Åsa Hammar
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway
- Department of Clinical Sciences Lund, Psychiatry, Faculty of Medicine, Lund University, Lund, Sweden
- Office for Psychiatry and Habilitation, , Psychiatry Research Skåne, Region Skåne, Sweden
| | - Jan Haavik
- Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
- Department of Biomedicine, University of Bergen, Bergen, Norway
| | - Frank Riemer
- Mohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Bergen, Norway
| | - Marco Hirnstein
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway
| | - Lars Ersland
- Department of Clinical Engineering, Haukeland University Hospital, Bergen, Norway
| | - Vera Jane Erchinger
- Mohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Bergen, Norway
| | - Eivind Haga Ronold
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway
- Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Gyrid Nygaard
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
| | - Petter Jakobsen
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
- NORMENT, Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
| | - Alexander R Craven
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway
- Department of Clinical Engineering, Haukeland University Hospital, Bergen, Norway
| | - Berge Osnes
- Department of Clinical Psychology, University of Bergen, Bergen, Norway
| | | | - Hauke Bartsch
- Mohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Bergen, Norway
| | - Stephanie Le Hellard
- NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway
- Dr. Einar Martens Research Group for Biological Psychiatry, Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Anne-Kristin Stavrum
- NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway
- Dr. Einar Martens Research Group for Biological Psychiatry, Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Ketil J Oedegaard
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
- NORMENT, Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
| | - Leif Oltedal
- Mohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Bergen, Norway.
- Department of Clinical Medicine, University of Bergen, Bergen, Norway.
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Bhatnagar A, Murray G, Ray S. Circadian biology to advance therapeutics for mood disorders. Trends Pharmacol Sci 2023; 44:689-704. [PMID: 37648611 DOI: 10.1016/j.tips.2023.07.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Revised: 07/30/2023] [Accepted: 07/30/2023] [Indexed: 09/01/2023]
Abstract
Mood disorders account for a significant global disease burden, and pharmacological innovation is needed as existing medications are suboptimal. A wide range of evidence implicates circadian and sleep dysfunction in the pathogenesis of mood disorders, and there is growing interest in these chronobiological pathways as a focus for treatment innovation. We review contemporary evidence in three promising areas in circadian-clock-based therapeutics in mood disorders: targeting the circadian system informed by mechanistic molecular advances; time-tailoring of medications; and personalizing treatment using circadian parameters. We also consider the limitations and challenges in accelerating the development of new circadian-informed pharmacotherapies for mood disorders.
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Affiliation(s)
- Apoorva Bhatnagar
- Department of Biotechnology, Indian Institute of Technology Hyderabad, Kandi, Sangareddy, 502284, Telangana, India; Centre for Mental Health, Swinburne University of Technology, Melbourne, Victoria, Australia
| | - Greg Murray
- Centre for Mental Health, Swinburne University of Technology, Melbourne, Victoria, Australia.
| | - Sandipan Ray
- Department of Biotechnology, Indian Institute of Technology Hyderabad, Kandi, Sangareddy, 502284, Telangana, India.
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Melloni EMT, Paolini M, Dallaspezia S, Lorenzi C, Poletti S, d'Orsi G, Yoshiike T, Zanardi R, Colombo C, Benedetti F. Melatonin secretion patterns are associated with cognitive vulnerability and brain structure in bipolar depression. Chronobiol Int 2023; 40:1279-1290. [PMID: 37781880 DOI: 10.1080/07420528.2023.2262572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 09/18/2023] [Indexed: 10/03/2023]
Abstract
Circadian rhythm disruption is a core symptom of bipolar disorder (BD), also reflected in altered patterns of melatonin release. Reductions of grey matter (GM) volumes are well documented in BD. We hypothesized that levels and timing of melatonin secretion in bipolar depression could be associated with depressive psychopathology and brain GM integrity. The onset of melatonin secretion under dim light conditions (DLMO) and the amount of time between DLMO and midsleep (i.e. phase angle difference; PAD) were used as circadian rhythm markers. To study the time course of melatonin secretion, an exponential curve fitting the melatonin values was calculated, and the slope coefficients (SLP) were obtained for each participant. Significant differences were found between HC and BD in PAD measures and melatonin profiles. Correlations between PAD and depressive psychopathology were identified. Melatonin secretion patterns were found to be associated with GM volumes in the Striatum and Supramarginal Gyrus in BD. Our findings emphasized the role of melatonin secretion role as a biological marker of circadian synchronization in bipolar depression and provided a novel insight for a link between melatonin release and brain structure.
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Affiliation(s)
- Elisa M T Melloni
- Psychiatry & Clinical Psychobiology Unit, Division of Neuroscience, Scientific Institute Ospedale San Raffaele, Milano, Italy
- University Vita-Salute San Raffaele, Milano, Italy
| | - Marco Paolini
- Psychiatry & Clinical Psychobiology Unit, Division of Neuroscience, Scientific Institute Ospedale San Raffaele, Milano, Italy
- University Vita-Salute San Raffaele, Milano, Italy
| | - Sara Dallaspezia
- Psychiatry & Clinical Psychobiology Unit, Division of Neuroscience, Scientific Institute Ospedale San Raffaele, Milano, Italy
- University Vita-Salute San Raffaele, Milano, Italy
| | - Cristina Lorenzi
- Psychiatry & Clinical Psychobiology Unit, Division of Neuroscience, Scientific Institute Ospedale San Raffaele, Milano, Italy
| | - Sara Poletti
- Psychiatry & Clinical Psychobiology Unit, Division of Neuroscience, Scientific Institute Ospedale San Raffaele, Milano, Italy
- University Vita-Salute San Raffaele, Milano, Italy
| | - Greta d'Orsi
- Psychiatry & Clinical Psychobiology Unit, Division of Neuroscience, Scientific Institute Ospedale San Raffaele, Milano, Italy
| | - Takuya Yoshiike
- Psychiatry & Clinical Psychobiology Unit, Division of Neuroscience, Scientific Institute Ospedale San Raffaele, Milano, Italy
- Department of Sleep-Wake Disorders, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Japan
| | - Raffaella Zanardi
- University Vita-Salute San Raffaele, Milano, Italy
- IRCCS San Raffaele Scientific Institute, Department of Clinical Neurosciences, Mood Disorder Unit, Milano, Italy
| | - Cristina Colombo
- University Vita-Salute San Raffaele, Milano, Italy
- IRCCS San Raffaele Scientific Institute, Department of Clinical Neurosciences, Mood Disorder Unit, Milano, Italy
| | - Francesco Benedetti
- Psychiatry & Clinical Psychobiology Unit, Division of Neuroscience, Scientific Institute Ospedale San Raffaele, Milano, Italy
- University Vita-Salute San Raffaele, Milano, Italy
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9
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Wong TR, Hickie IB, Carpenter JS, Scott EM, Guastella AJ, Vidafar P, Scott J, Hermens DF, Crouse JJ. Dynamic modelling of chronotype and hypo/manic and depressive symptoms in young people with emerging mental disorders. Chronobiol Int 2023; 40:699-709. [PMID: 37132360 DOI: 10.1080/07420528.2023.2203241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 02/21/2023] [Accepted: 04/11/2023] [Indexed: 05/04/2023]
Abstract
There is significant interest in the possible influence of chronotype on clinical states in young people with emerging mental disorders. We apply a dynamic approach (bivariate latent change score modelling) to examine the possible prospective influence of chronotype on depressive and hypo/manic symptoms in a youth cohort with predominantly depressive, bipolar, and psychotic disorders (N = 118; 14-30-years), who completed a baseline and follow-up assessment of these constructs (mean interval = 1.8-years). Our primary hypotheses were that greater baseline eveningness would predict increases in depressive but not hypo/manic symptoms. We found moderate to strong autoregressive effects for chronotype (β = -0.447 to -0.448, p < 0.001), depressive (β = -0.650, p < 0.001) and hypo/manic symptoms (β = -0.819, p < 0.001). Against our predictions, baseline chronotypes did not predict change in depressive (β = -0.016, p = 0.810) or hypo/manic symptoms (β = 0.077, p = 0.104). Similarly, the change in chronotype did not correlate with the change in depressive symptoms (β = -0.096, p = 0.295) nor did the change in chronotype and the change in hypo/manic symptoms (β = -0.166, p = 0.070). These data suggest that chronotypes may have low utility for predicting future hypo/manic and depressive symptoms in the short term, or that more frequent assessments over longer periods are needed to observe these associations. Future studies should test whether other circadian phenotypes (e.g. sleep-wake variability) are better indicators of illness course.
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Affiliation(s)
| | - Ian B Hickie
- Brain and Mind Centre, University of Sydney, Australia
| | | | | | | | | | - Jan Scott
- Brain and Mind Centre, University of Sydney, Australia
- Academic Psychiatry, Institute of Neuroscience, Newcastle University, UK
- Université de Paris, Paris, France
- Department of Mental Health, Norwegian University of Science and Technology, Trondheim, Norway
| | - Daniel F Hermens
- Thompson Institute, University of the Sunshine Coast, Sippy Downs, Queensland, Australia
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10
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Hickie IB, Merikangas KR, Carpenter JS, Iorfino F, Scott EM, Scott J, Crouse JJ. Does circadian dysrhythmia drive the switch into high- or low-activation states in bipolar I disorder? Bipolar Disord 2023; 25:191-199. [PMID: 36661342 PMCID: PMC10947388 DOI: 10.1111/bdi.13304] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
OBJECTIVES Emerging evidence suggests a role of circadian dysrhythmia in the switch between "activation" states (i.e., objective motor activity and subjective energy) in bipolar I disorder. METHODS We examined the evidence with respect to four relevant questions: (1) Are natural or environmental exposures that can disrupt circadian rhythms also related to the switch into high-/low-activation states? (2) Are circadian dysrhythmias (e.g., altered rest/activity rhythms) associated with the switch into activation states in bipolar disorder? (3) Do interventions that affect the circadian system also affect activation states? (4) Are associations between circadian dysrhythmias and activation states influenced by other "third" factors? RESULTS Factors that naturally or experimentally alter circadian rhythms (e.g., light exposure) have been shown to relate to activation states; however future studies need to measure circadian rhythms contemporaneously with these natural/experimental factors. Actigraphic measures of circadian dysrhythmias are associated prospectively with the switch into high- or low-activation states, and more studies are needed to establish the most relevant prognostic actigraphy metrics in bipolar disorder. Interventions that can affect the circadian system (e.g., light therapy, lithium) can also reduce the switch into high-/low-activation states. Whether circadian rhythms mediate these clinical effects is an unknown but valuable question. The influence of age, sex, and other confounders on these associations needs to be better characterised. CONCLUSION Based on the reviewed evidence, our view is that circadian dysrhythmia is a plausible driver of transitions into high- and low-activation states and deserves prioritisation in research in bipolar disorders.
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Affiliation(s)
- Ian B. Hickie
- Youth Mental Health and Technology Team, Brain and Mind Centre, Faculty of Medicine and HealthUniversity of SydneyNew South WalesSydneyAustralia
| | - Kathleen R. Merikangas
- Genetic Epidemiology Research Branch, Division of Intramural Research ProgramNational Institute of Mental HealthBethesdaMarylandUSA
| | - Joanne S. Carpenter
- Youth Mental Health and Technology Team, Brain and Mind Centre, Faculty of Medicine and HealthUniversity of SydneyNew South WalesSydneyAustralia
| | - Frank Iorfino
- Youth Mental Health and Technology Team, Brain and Mind Centre, Faculty of Medicine and HealthUniversity of SydneyNew South WalesSydneyAustralia
| | - Elizabeth M. Scott
- Youth Mental Health and Technology Team, Brain and Mind Centre, Faculty of Medicine and HealthUniversity of SydneyNew South WalesSydneyAustralia
| | - Jan Scott
- Institute of NeuroscienceNewcastle UniversityNewcastle upon TyneUK
- Norwegian University of Science and TechnologyTrondheimNorway
- Université de ParisParisFrance
| | - Jacob J. Crouse
- Youth Mental Health and Technology Team, Brain and Mind Centre, Faculty of Medicine and HealthUniversity of SydneyNew South WalesSydneyAustralia
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11
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Freund N, Haussleiter I. Bipolar Chronobiology in Men and Mice: A Narrative Review. Brain Sci 2023; 13:738. [PMID: 37239210 PMCID: PMC10216184 DOI: 10.3390/brainsci13050738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 04/24/2023] [Accepted: 04/27/2023] [Indexed: 05/28/2023] Open
Abstract
In patients with bipolar disorder, we do not only see a cycling of mood episodes, but also a shift in circadian rhythm. In the present overview, the circadian rhythm, the "internal clock", and their disruptions are briefly described. In addition, influences on circadian rhythms such as sleep, genetics, and environment are discussed. This description is conducted with a translational focus covering human patients as well as animal models. Concluding the current knowledge on chronobiology and bipolar disorder, implications for specificity and the course of bipolar disorder and treatment options are given at the end of this article. Taken together, circadian rhythm disruption and bipolar disorder are strongly correlated; the exact causation, however, is still unclear.
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Affiliation(s)
- Nadja Freund
- Division of Experimental and Molecular Psychiatry, Department of Psychiatry, Psychotherapy and Preventive Medicine, LWL University Hospital, Ruhr-University, 44791 Bochum, Germany;
| | - Ida Haussleiter
- Department of Psychiatry, Psychotherapy and Preventive Medicine, LWL University Hospital, Ruhr-University, 44791 Bochum, Germany
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12
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Ricka N, Pellegrin G, Fompeyrine DA, Lahutte B, Geoffroy PA. Predictive biosignature of major depressive disorder derived from physiological measurements of outpatients using machine learning. Sci Rep 2023; 13:6332. [PMID: 37185788 PMCID: PMC10130089 DOI: 10.1038/s41598-023-33359-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 04/12/2023] [Indexed: 05/17/2023] Open
Abstract
Major Depressive Disorder (MDD) has heterogeneous manifestations, leading to difficulties in predicting the evolution of the disease and in patient's follow-up. We aimed to develop a machine learning algorithm that identifies a biosignature to provide a clinical score of depressive symptoms using individual physiological data. We performed a prospective, multicenter clinical trial where outpatients diagnosed with MDD were enrolled and wore a passive monitoring device constantly for 6 months. A total of 101 physiological measures related to physical activity, heart rate, heart rate variability, breathing rate, and sleep were acquired. For each patient, the algorithm was trained on daily physiological features over the first 3 months as well as corresponding standardized clinical evaluations performed at baseline and months 1, 2 and 3. The ability of the algorithm to predict the patient's clinical state was tested using the data from the remaining 3 months. The algorithm was composed of 3 interconnected steps: label detrending, feature selection, and a regression predicting the detrended labels from the selected features. Across our cohort, the algorithm predicted the daily mood status with 86% accuracy, outperforming the baseline prediction using MADRS alone. These findings suggest the existence of a predictive biosignature of depressive symptoms with at least 62 physiological features involved for each patient. Predicting clinical states through an objective biosignature could lead to a new categorization of MDD phenotypes.
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Affiliation(s)
| | | | | | - Bertrand Lahutte
- Psychiatry Department, Bégin Military Hospital, 94160, Saint-Mandé, France
| | - Pierre A Geoffroy
- Psychiatry and Addictology Service, Assistance Publique-Hôpitaux de Paris, GHU Paris Nord, DMU Neurosciences, Hopital Bichat-Claude Bernard, 75018, Paris, France
- GHU Paris-Psychiatry & Neurosciences, 1 rue Cabanis, 75014, Paris, France
- NeuroDiderot, Inserm, FHU I2-D2, Université de Paris, 75019, Paris, France
- CNRS UPR 3212, Institute for Cellular and Integrative Neurosciences, 67000, Strasbourg, France
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13
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Courtin C, Marie-Claire C, Gross G, Hennion V, Mundwiller E, Guégan J, Meyrel M, Bellivier F, Etain B. Gene expression of circadian genes and CIART in bipolar disorder: A preliminary case-control study. Prog Neuropsychopharmacol Biol Psychiatry 2023; 122:110691. [PMID: 36481223 DOI: 10.1016/j.pnpbp.2022.110691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 11/18/2022] [Accepted: 11/30/2022] [Indexed: 12/12/2022]
Abstract
Based on the observed circadian rhythms disruptions and sleep abnormalities in bipolar disorders (BD), a chronobiological model has been proposed suggesting that core clock genes play a central role in the vulnerability to the disorder. In this context, the analysis of circadian genes expression levels is particularly relevant, however studies focused on the whole set of core clock genes are scarce. We compared the levels of expression of 19 circadian genes (including the recently described circadian repressor (CIART)) in 37 euthymic individuals with BD and 20 healthy controls (HC), using data obtained by RNA sequencing of lymphoblastoid cell lines and validated the results using RT-qPCR. RNA sequencing data showed that CIART gene expression was correlated with those of ARNTL, ARNTL2, DBP, PER2 and TIMELESS. Data from RNA sequencing showed that the level of expression of four circadian genes (ARNTL, ARNTL2, BHLHE41 and CIART) discriminated individuals with BD from HC. We replicated this result using RT-qPCR for ARNTL and CIART. This study suggests that an imbalance between activation/repression of the transcription within the circadian system in individuals with BD as compared to HC and as such opens avenues for further research in larger independent samples combining both expression and epigenetic analyses.
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Affiliation(s)
- Cindie Courtin
- Université de Paris Cité, INSERM UMR-S 1144, Optimisation Thérapeutique en Neuropsychopharmacologie, OTeN, Paris, France
| | - Cynthia Marie-Claire
- Université de Paris Cité, INSERM UMR-S 1144, Optimisation Thérapeutique en Neuropsychopharmacologie, OTeN, Paris, France.
| | - Gregory Gross
- Pôle Hospitalo-Universitaire de Psychiatrie d'Adultes et d'Addictologie du Grand Nancy, Centre Psychothérapique de Nancy, Laxou, France; Université de Lorraine, Vandoeuvre-lès-Nancy, France
| | - Vincent Hennion
- Université de Paris Cité, INSERM UMR-S 1144, Optimisation Thérapeutique en Neuropsychopharmacologie, OTeN, Paris, France; Département de Psychiatrie et de Médecine Addictologique, Hôpitaux Lariboisière-Fernand Widal, GHU APHP.Nord - Université de Paris, Paris, France
| | | | - Justine Guégan
- Data Analysis Core platform, Institut du Cerveau - Paris Brain Institute - ICM, Sorbonne Université, Inserm, CNRS, APHP, Hôpital de la Pitié Salpêtrière, Paris, France
| | - Manon Meyrel
- Département de Psychiatrie et de Médecine Addictologique, Hôpitaux Lariboisière-Fernand Widal, GHU APHP.Nord - Université de Paris, Paris, France
| | - Frank Bellivier
- Université de Paris Cité, INSERM UMR-S 1144, Optimisation Thérapeutique en Neuropsychopharmacologie, OTeN, Paris, France; Département de Psychiatrie et de Médecine Addictologique, Hôpitaux Lariboisière-Fernand Widal, GHU APHP.Nord - Université de Paris, Paris, France
| | - Bruno Etain
- Université de Paris Cité, INSERM UMR-S 1144, Optimisation Thérapeutique en Neuropsychopharmacologie, OTeN, Paris, France; Département de Psychiatrie et de Médecine Addictologique, Hôpitaux Lariboisière-Fernand Widal, GHU APHP.Nord - Université de Paris, Paris, France
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14
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Olejniczak I, Begemann K, Wilhelm I, Oster H. The circadian neurobiology of reward. Acta Physiol (Oxf) 2023; 237:e13928. [PMID: 36625310 DOI: 10.1111/apha.13928] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 11/29/2022] [Accepted: 01/02/2023] [Indexed: 01/11/2023]
Abstract
Circadian clocks are important regulators of physiology and behavior. In the brain, circadian clocks have been described in many centers of the central reward system. They affect neurotransmitter signaling, neuroendocrine circuits, and the sensitivity to external stimulation. Circadian disruption affects reward signaling, promoting the development of behavioral and substance use disorders. In this review, we summarize our current knowledge of circadian clock-reward crosstalk. We show how chronodisruption affects reward signaling in different animal models. We then translate these findings to circadian aspects of human reward (dys-) function and its clinical implications. Finally, we devise approaches to and challenges in implementing the concepts of circadian medicine in the therapy of substance use disorders.
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Affiliation(s)
- Iwona Olejniczak
- Institute of Neurobiology, University of Lübeck, Lübeck, Germany.,Center of Brain, Behavior, and Metabolism, University of Lübeck, Lübeck, Germany
| | - Kimberly Begemann
- Institute of Neurobiology, University of Lübeck, Lübeck, Germany.,Center of Brain, Behavior, and Metabolism, University of Lübeck, Lübeck, Germany
| | - Ines Wilhelm
- Center of Brain, Behavior, and Metabolism, University of Lübeck, Lübeck, Germany.,Translational Psychiatry Unit, Department of Psychiatry and Psychotherapy, University of Lübeck, Lübeck, Germany
| | - Henrik Oster
- Institute of Neurobiology, University of Lübeck, Lübeck, Germany.,Center of Brain, Behavior, and Metabolism, University of Lübeck, Lübeck, Germany
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15
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Esaki Y, Obayashi K, Saeki K, Fujita K, Iwata N, Kitajima T. Habitual light exposure and circadian activity rhythms in bipolar disorder: A cross-sectional analysis of the APPLE cohort. J Affect Disord 2023; 323:762-769. [PMID: 36538951 DOI: 10.1016/j.jad.2022.12.034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 10/04/2022] [Accepted: 12/10/2022] [Indexed: 12/23/2022]
Abstract
BACKGROUND Circadian activity rhythm disruption is a core feature in bipolar disorder. We investigated whether light exposure in daily life is associated with circadian activity rhythms in patients with bipolar disorder. METHODS In a cross-sectional study, we enrolled 194 outpatients with bipolar disorder who were participants of the Association between Pathology of Bipolar Disorder and Light Exposure in Daily Life (APPLE) cohort study. The participants' physical activity and daytime illuminance were measured using an actigraph over 7 consecutive days. Nighttime illuminance in the bedroom was measured using a portable photometer. Circadian activity rhythm parameters were calculated using cosinor analysis and a nonparametric circadian rhythm analysis. RESULTS The median daytime illuminance and nighttime illuminance were 224.5 lx (interquartile range, 154.5-307.5 lx) and 2.3 lx (0.3-9.4 lx), respectively. Multivariable linear regression analysis, adjusted for potential confounding factors, showed that higher daytime illuminance was significantly associated with higher amplitude and most active continuous 10-hour period, advanced acrophase, higher interdaily stability, and lower intradaily variability. Higher nighttime illuminance was significantly associated with lower relative amplitude, delayed onset of the least active continuous 5-hour period, and higher intradaily variability. LIMITATIONS As this was a cross-sectional study, the results do not necessarily imply that light exposure alters circadian activity rhythms. CONCLUSIONS Daytime light exposure was associated with a positive effect and nighttime light exposure with a negative effect on circadian activity rhythms in bipolar disorder.
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Affiliation(s)
- Yuichi Esaki
- Department of Psychiatry, Okehazama Hospital, Aichi, Japan; Department of Psychiatry, Fujita Health University School of Medicine, Aichi, Japan.
| | - Kenji Obayashi
- Department of Epidemiology, Nara Medical University School of Medicine, Nara, Japan
| | - Keigo Saeki
- Department of Epidemiology, Nara Medical University School of Medicine, Nara, Japan
| | - Kiyoshi Fujita
- Department of Psychiatry, Okehazama Hospital, Aichi, Japan; The Neuroscience Research Center, Aichi, Japan
| | - Nakao Iwata
- Department of Psychiatry, Fujita Health University School of Medicine, Aichi, Japan
| | - Tsuyoshi Kitajima
- Department of Psychiatry, Fujita Health University School of Medicine, Aichi, Japan
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16
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Nagy Á, Dombi J, Fülep MP, Rudics E, Hompoth EA, Szabó Z, Dér A, Búzás A, Viharos ZJ, Hoang AT, Maczák B, Vadai G, Gingl Z, László S, Bilicki V, Szendi I. The Actigraphy-Based Identification of Premorbid Latent Liability of Schizophrenia and Bipolar Disorder. SENSORS (BASEL, SWITZERLAND) 2023; 23:958. [PMID: 36679755 PMCID: PMC9863012 DOI: 10.3390/s23020958] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 01/06/2023] [Accepted: 01/08/2023] [Indexed: 06/17/2023]
Abstract
(1) Background and Goal: Several studies have investigated the association of sleep, diurnal patterns, and circadian rhythms with the presence and with the risk states of mental illnesses such as schizophrenia and bipolar disorder. The goal of our study was to examine actigraphic measures to identify features that can be extracted from them so that a machine learning model can detect premorbid latent liabilities for schizotypy and bipolarity. (2) Methods: Our team developed a small wrist-worn measurement device that collects and identifies actigraphic data based on an accelerometer. The sensors were used by carefully selected healthy participants who were divided into three groups: Control Group (C), Cyclothymia Factor Group (CFG), and Positive Schizotypy Factor Group (PSF). From the data they collected, our team performed data cleaning operations and then used the extracted metrics to generate the feature combinations deemed most effective, along with three machine learning algorithms for categorization. (3) Results: By conducting the training, we were able to identify a set of mildly correlated traits and their order of importance based on the Shapley value that had the greatest impact on the detection of bipolarity and schizotypy according to the logistic regression, Light Gradient Boost, and Random Forest algorithms. (4) Conclusions: These results were successfully compared to the results of other researchers; we had a similar differentiation in features used by others, and successfully developed new ones that might be a good complement for further research. In the future, identifying these traits may help us identify people at risk from mental disorders early in a cost-effective, automated way.
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Affiliation(s)
- Ádám Nagy
- Department of Software Engineering, University of Szeged, 13 Dugonics Square, 6720 Szeged, Hungary
| | - József Dombi
- Department of Computer Algorithms and Artificial Intelligence, University of Szeged, 2 Árpád Square, 6720 Szeged, Hungary
| | - Martin Patrik Fülep
- Department of Software Engineering, University of Szeged, 13 Dugonics Square, 6720 Szeged, Hungary
| | - Emese Rudics
- Department of Software Engineering, University of Szeged, 13 Dugonics Square, 6720 Szeged, Hungary
- Doctoral School of Interdisciplinary Medicine, Department of Medical Genetics, University of Szeged, 4 Somogyi Béla Street, 6720 Szeged, Hungary
| | - Emőke Adrienn Hompoth
- Department of Software Engineering, University of Szeged, 13 Dugonics Square, 6720 Szeged, Hungary
| | - Zoltán Szabó
- Department of Software Engineering, University of Szeged, 13 Dugonics Square, 6720 Szeged, Hungary
| | - András Dér
- ELKH Biological Research Centre, Institute of Biophysics, 62 Temesvári Boulevard, 6726 Szeged, Hungary
| | - András Búzás
- ELKH Biological Research Centre, Institute of Biophysics, 62 Temesvári Boulevard, 6726 Szeged, Hungary
| | - Zsolt János Viharos
- Institute for Computer Science and Control, Center of Excellence in Production Informatics and Control, Eötvös Lóránd Research Network (ELKH), Center of Excellence of the Hungarian Academy of Sciences (MTA), 13-17 Kende Street, 1111 Budapest, Hungary
- Faculty of Economics and Business, John von Neumann University, 10 Izsáki Street, 6000 Kecskemét, Hungary
| | - Anh Tuan Hoang
- Institute for Computer Science and Control, Center of Excellence in Production Informatics and Control, Eötvös Lóránd Research Network (ELKH), Center of Excellence of the Hungarian Academy of Sciences (MTA), 13-17 Kende Street, 1111 Budapest, Hungary
| | - Bálint Maczák
- Department of Technical Informatics, University of Szeged, 2 Árpád Square, 6720 Szeged, Hungary
| | - Gergely Vadai
- Department of Technical Informatics, University of Szeged, 2 Árpád Square, 6720 Szeged, Hungary
| | - Zoltán Gingl
- Department of Technical Informatics, University of Szeged, 2 Árpád Square, 6720 Szeged, Hungary
| | - Szandra László
- Doctoral School of Interdisciplinary Medicine, Department of Medical Genetics, University of Szeged, 4 Somogyi Béla Street, 6720 Szeged, Hungary
| | - Vilmos Bilicki
- Department of Software Engineering, University of Szeged, 13 Dugonics Square, 6720 Szeged, Hungary
| | - István Szendi
- Department of Software Engineering, University of Szeged, 13 Dugonics Square, 6720 Szeged, Hungary
- Department of Psychiatry, Kiskunhalas Semmelweis Hospital, 1 Dr. Monszpart László Street, 6400 Kiskunhalas, Hungary
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17
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Zhang J, Merikangas KR, Li H, Shou H. TWO-SAMPLE TESTS FOR MULTIVARIATE REPEATED MEASUREMENTS OF HISTOGRAM OBJECTS WITH APPLICATIONS TO WEARABLE DEVICE DATA. Ann Appl Stat 2022; 16:2396-2416. [PMID: 38037595 PMCID: PMC10688324 DOI: 10.1214/21-aoas1596] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2023]
Abstract
Repeated observations have become increasingly common in biomedical research and longitudinal studies. For instance, wearable sensor devices are deployed to continuously track physiological and biological signals from each individual over multiple days. It remains of great interest to appropriately evaluate how the daily distribution of biosignals might differ across disease groups and demographics. Hence, these data could be formulated as multivariate complex object data, such as probability densities, histograms, and observations on a tree. Traditional statistical methods would often fail to apply, as they are sampled from an arbitrary non-Euclidean metric space. In this paper we propose novel, nonparametric, graph-based two-sample tests for object data with the same structure of repeated measures. We treat the repeatedly measured object data as multivariate object data, which requires the same number of repeated observations per individual but eliminates any assumptions on the errors of the repeated observations. A set of test statistics are proposed to capture various possible alternatives. We derive their asymptotic null distributions under the permutation null. These tests exhibit substantial power improvements over the existing methods while controlling the type I errors under finite samples as shown through simulation studies. The proposed tests are demonstrated to provide additional insights on the location, inter- and intra-individual variability of the daily physical activity distributions in a sample of studies for mood disorders.
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Affiliation(s)
- Jingru Zhang
- Division of Biostatistics, Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine
| | - Kathleen R. Merikangas
- Genetic Epidemiology Research Branch, National Institute of Mental Health, National Institutes of Health
| | - Hongzhe Li
- Division of Biostatistics, Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine
| | - Haochang Shou
- Division of Biostatistics, Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine
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18
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Sangha N, Lyall L, Wyse C, Cullen B, Whalley HC, Smith DJ. The nosological status of unipolar mania and hypomania within UK Biobank according to objective and subjective measures of diurnal rest and activity. Bipolar Disord 2022; 24:726-738. [PMID: 35656588 PMCID: PMC9796466 DOI: 10.1111/bdi.13237] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
BACKGROUND There is uncertainty whether unipolar mania is a discrete sub-type of bipolar disorder. Disrupted rest/activity rhythms are a key feature of bipolar disorder (BD) but have not been well characterised in unipolar mania/hypomania (UM). We compared subjective and objective rest/activity patterns, demographic and mental health outcomes across BD, UM and control groups. METHODS UK residents aged 37-73 years were recruited into UK Biobank from 2006 to 2010. BD, UM and control groups were identified via a mental health questionnaire. Demographic, mental health and subjective sleep outcomes were self-reported. Accelerometery data were available for a subset of participants, and objective measures of sleep and activity were derived. RESULTS A greater proportion of males met UM criteria, and more females were in the BD group. Both BD and UM groups had poor mental health outcomes vs. controls. Objectively measured activity differed between all three groups: UM had highest levels of activity and BD lowest. The UM group had shorter sleep duration compared to controls. Subjective rest/activity measures showed that both mood disorder groups (compared to controls) had later chronotype preference, more disturbed sleep and increased difficulty getting up in the morning. However, the UM group were more likely to report an early chronotype compared to BD and control groups. CONCLUSIONS BD and UM share features in common, but key differences support the proposition that UM may be a distinct and more clinically homogenous disorder. UM was characterised by a higher proportion of males, early chronotype, increased activity and shorter sleep duration.
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Affiliation(s)
- Natasha Sangha
- Mental Health and Wellbeing, Institute of Health and WellbeingUniversity of GlasgowGlasgowUK
| | - Laura Lyall
- Mental Health and Wellbeing, Institute of Health and WellbeingUniversity of GlasgowGlasgowUK
| | - Cathy Wyse
- Department of BiologyMaynooth UniversityKildareIreland
| | - Breda Cullen
- Mental Health and Wellbeing, Institute of Health and WellbeingUniversity of GlasgowGlasgowUK
| | - Heather C. Whalley
- Centre for Clinical Brain Sciences, Division of PsychiatryUniversity of EdinburghEdinburghUK
| | - Daniel J. Smith
- Centre for Clinical Brain Sciences, Division of PsychiatryUniversity of EdinburghEdinburghUK
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19
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Kahawage P, Bullock B, Meyer D, Gottlieb J, Crowe M, Swartz HA, Yatham LN, Inder M, Porter RJ, Nierenberg AA, Meesters Y, Gordijn M, Haarman BCM, Murray G. Social Rhythm Disruption is Associated with Greater Depressive Symptoms in People with Mood Disorders: Findings from a Multinational Online Survey During COVID-19. CANADIAN JOURNAL OF PSYCHIATRY. REVUE CANADIENNE DE PSYCHIATRIE 2022; 67:831-840. [PMID: 35535550 PMCID: PMC9096005 DOI: 10.1177/07067437221097905] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
OBJECTIVES Societal restrictions imposed to prevent transmission of COVID-19 may challenge circadian-driven lifestyle behaviours, particularly amongst those vulnerable to mood disorders. The overarching aim of the present study was to investigate the hypothesis that, in the routine-disrupted environment of the COVID-19, amongst a sample of people living with mood disorders, greater social rhythm disruption would be associated with more severe mood symptoms. METHODS We conducted a two-wave, multinational survey of 997 participants (MAge=39.75±13.39,Female=81.6%) who self-reported a mood disorder diagnosis (i.e., major depressive disorder or bipolar disorder). Respondents completed questionnaires assessing demographics, social rhythmicity (The Brief Social Rhythm Scale), depression symptoms (Patient Health Questionnaire-9), sleep quality and diurnal preference (The Sleep, Circadian Rhythms and Mood questionnaire) and stressful life events during the COVID-19 pandemic (The Social Readjustment Rating Scale). RESULTS The majority of participants indicated COVID-19-related social disruption had affected the regularity of their daily routines to at least some extent (n = 788, 79.1%). As hypothesised, lower social rhythmicity was associated with greater depressive symptoms when tested cross-sectionally (standardised β = -.25, t = -7.94, P = 0.000) and when tested using a 2-level hierarchical linear model across two time points (b = -0.14, t = -3.46, df = 264, P ≤ 0.001). CONCLUSIONS These results are consistent with the social zeitgeber hypothesis proposing that mood disorders are sensitive to life events that disrupt social rhythms.
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Affiliation(s)
- Piyumi Kahawage
- Centre for Mental Health, 3783Swinburne University of Technology, Melbourne, Australia
| | - Ben Bullock
- Centre for Mental Health, 3783Swinburne University of Technology, Melbourne, Australia
| | - Denny Meyer
- Centre for Mental Health, 3783Swinburne University of Technology, Melbourne, Australia
| | - John Gottlieb
- Department of Psychiatry and Behavioural Sciences, 12244Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Marie Crowe
- Department of Psychological Medicine, 2494University of Otago, Christchurch, New Zealand
| | - Holly A Swartz
- Department of Psychiatry, 6614University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Lakshmi N Yatham
- Department of Psychiatry, 8166University of British Columbia, Vancouver, Canada
| | - Maree Inder
- Department of Psychological Medicine, 2494University of Otago, Christchurch, New Zealand
| | - Richard J Porter
- Department of Psychological Medicine, 2494University of Otago, Christchurch, New Zealand
| | - Andrew A Nierenberg
- Dauten Family Center for Bipolar Treatment Innovation, 2348Massachusetts General Hospital, 1811Harvard Medical School, Boston, MA, USA
| | - Ybe Meesters
- Department of Psychiatry Groningen, 3647University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Marijke Gordijn
- Chrono@Work & Chronobiology Unit, Groningen Institute for Evolutionary Life Sciences, University of Groningen, Groningen, the Netherlands
| | - Bartholomeus C M Haarman
- Department of Psychiatry Groningen, 3647University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Greg Murray
- Centre for Mental Health, 3783Swinburne University of Technology, Melbourne, Australia
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20
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Dim light melatonin patterns in unaffected offspring of parents with bipolar disorder: A case-control high-risk study. J Affect Disord 2022; 315:42-47. [PMID: 35878843 DOI: 10.1016/j.jad.2022.07.029] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Revised: 05/19/2022] [Accepted: 07/17/2022] [Indexed: 11/24/2022]
Abstract
BACKGROUND Circadian dysregulation has long been thought to be a key component in the pathophysiology of bipolar disorder (BD). However, it remains unclear whether this dysregulation constitutes a risk factor, manifestation, or consequence of BD. This study aimed to compare dim light melatonin secretion patterns between unaffected offspring of parents with BD (OBD) and offspring of control parents (OCP). METHODS This case-control study included unaffected OBD (mean age 14.0 years; male 50.0 %) and age- and sex-matched OCP (mean age 13.0 years; male: 43.5 %). Seventeen saliva samples were collected in dim light conditions. Dim light melatonin onset (DLMO), phase angles, and area under the curve (AUC) were calculated. RESULTS 185 saliva samples from 12 OBD (n = 12) and 741 from OCP (n = 46) were collected. Unaffected OBD had a significant lower nocturnal melatonin level (14.8 ± 4.6 vs. 20.3 ± 11.7 pg/mL) and a smaller melatonin AUC within two hours after DLMO (35.5 ± 11.3 vs. 44.6 ± 18.1 pg/mL) but a significant larger phase angle between DLMO and sleep onset (2.2 ± 1.0 vs. 1.4 ± 1.2 h) than OCP. There was no significant between-group difference in DLMO. The graphic illustrations showed a considerably flattened melatonin secretion in unaffected OBD. LIMITATIONS The main limitations include lack of 24-h dim melatonin secretion measurement, large age range of participants, and small sample size. CONCLUSIONS These findings suggest that unaffected OBD already presented with circadian rhythm dysregulations. Future investigations are needed to clarify the role of abnormal melatonin secretion in the onset of BD.
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21
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Prediction of schizophrenia from activity data using hidden Markov model parameters. Neural Comput Appl 2022. [DOI: 10.1007/s00521-022-07845-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
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22
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Depression and bipolar disorder subtypes differ in their genetic correlations with biological rhythms. Sci Rep 2022; 12:15740. [PMID: 36131119 PMCID: PMC9492698 DOI: 10.1038/s41598-022-19720-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Accepted: 09/02/2022] [Indexed: 11/29/2022] Open
Abstract
Major Depression and Bipolar Disorder Type I (BIP-I) and Type II (BIP-II), are characterized by depressed, manic, and hypomanic episodes in which specific changes of physical activity, circadian rhythm, and sleep are observed. It is known that genetic factors contribute to variation in mood disorders and biological rhythms, but unclear to what extent there is an overlap between their underlying genetics. In the present study, data from genome-wide association studies were used to examine the genetic relationship between mood disorders and biological rhythms. We tested the genetic correlation of depression, BIP-I, and BIP-II with physical activity (overall physical activity, moderate activity, sedentary behaviour), circadian rhythm (relative amplitude), and sleep features (sleep duration, daytime sleepiness). Genetic correlations of depression, BIP-I, and BIP-II with biological rhythms were compared to discover commonalities and differences. A gene-based analysis tested for associations of single genes and common circadian genes with mood disorders. Depression was negatively correlated with overall physical activity and positively with sedentary behaviour, while BIP-I showed associations in the opposite direction. Depression and BIP-II had negative correlations with relative amplitude. All mood disorders were positively correlated with daytime sleepiness. Overall, we observed both genetic commonalities and differences across mood disorders in their relationships with biological rhythms: depression and BIP-I differed the most, while BIP-II was in an intermediate position. Gene-based analysis suggested potential targets for further investigation. The present results suggest shared genetic underpinnings for the clinically observed associations between mood disorders and biological rhythms. Research considering possible joint mechanisms may offer avenues for improving disease detection and treatment.
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23
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Syrstad VEG, Mjeldheim K, Førland W, Jakobsen P, Gjestad R, Berle JØ, Merikangas KR, Oedegaard KJ, Fasmer OB. Objective assessment of motor activity in a clinical sample of adults with attention-deficit/hyperactivity disorder and/or cyclothymic temperament. BMC Psychiatry 2022; 22:609. [PMID: 36104774 PMCID: PMC9476590 DOI: 10.1186/s12888-022-04242-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 09/05/2022] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Most research on patterns of motor activity has been conducted on adults with mood disorders, but few studies have investigated comorbid attention-deficit/hyperactivity disorder (ADHD) or temperamental factors that may influence the clinical course and symptoms. Cyclothymic temperament (CT) is particularly associated with functional impairment. Clinical features define both disorders, but objective, biological markers for these disorders could give important insights with regard to pathophysiology and classification. METHODS Seventy-six patients, requiring diagnostic evaluation of ADHD, mood or anxiety disorders were recruited. A comprehensive diagnostic evaluation, including the CT scale of the Temperament Evaluation of Memphis, Pisa, Paris and San Diego - Auto-questionnaire (TEMPS-A), neuropsychological tests and actigraphy, was performed. ADHD was diagnosed according to the DSM-IV criteria. There was a range of different conditions in this clinical sample, but here we report on the presence of CT and ADHD in relation to motor activity. Twenty-nine healthy controls were recruited. We analyzed motor activity time series using linear and nonlinear mathematical methods, with a special focus on active and inactive periods in the actigraphic recordings. RESULTS Forty patients fulfilled the criteria for ADHD, with the remainder receiving other psychiatric diagnoses (clinical controls). Forty-two patients fulfilled the criteria for CT. Twenty-two patients fulfilled the criteria for ADHD and CT, 18 patients met the criteria for ADHD without CT, and 15 patients had neither. The ratio duration of active/inactive periods was significantly lower in patients with CT than in patients without CT, in both the total sample, and in the ADHD subsample. CONCLUSIONS CT is associated with objectively assessed changes in motor activity, implying that the systems regulating motor behavior in these patients are different from both healthy controls and clinical controls without CT. Findings suggest that actigraphy may supplement clinical assessments of CT and ADHD, and may provide an objective marker for CT.
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Affiliation(s)
- Vigdis Elin Giaever Syrstad
- Division of Psychiatry, Haukeland University Hospital, Bergen, Norway. .,Department of Clinical Medicine, University of Bergen, Bergen, Norway. .,Division of Psychiatry, NORMENT, Haukeland University Hospital, Bergen, Norway.
| | | | | | - Petter Jakobsen
- grid.412008.f0000 0000 9753 1393Division of Psychiatry, Haukeland University Hospital, Bergen, Norway ,grid.7914.b0000 0004 1936 7443Department of Clinical Medicine, University of Bergen, Bergen, Norway ,grid.412008.f0000 0000 9753 1393Division of Psychiatry, NORMENT, Haukeland University Hospital, Bergen, Norway
| | - Rolf Gjestad
- grid.412008.f0000 0000 9753 1393Division of Psychiatry, Haukeland University Hospital, Bergen, Norway ,grid.412008.f0000 0000 9753 1393Division of Psychiatry, NORMENT, Haukeland University Hospital, Bergen, Norway ,grid.7914.b0000 0004 1936 7443 Center for Crisis Psychology, Faculty of Psychology, University of Bergen, Bergen, Norway
| | - Jan Øystein Berle
- grid.412008.f0000 0000 9753 1393Division of Psychiatry, Haukeland University Hospital, Bergen, Norway ,grid.7914.b0000 0004 1936 7443Department of Clinical Medicine, University of Bergen, Bergen, Norway ,grid.412008.f0000 0000 9753 1393Division of Psychiatry, NORMENT, Haukeland University Hospital, Bergen, Norway
| | - Kathleen Ries Merikangas
- grid.416868.50000 0004 0464 0574Genetic Epidemiology Research Branch, Intramural Research Program, National Institute of Mental Health, Bethesda, Maryland USA
| | - Ketil Joachim Oedegaard
- grid.412008.f0000 0000 9753 1393Division of Psychiatry, Haukeland University Hospital, Bergen, Norway ,grid.7914.b0000 0004 1936 7443Department of Clinical Medicine, University of Bergen, Bergen, Norway ,grid.412008.f0000 0000 9753 1393Division of Psychiatry, NORMENT, Haukeland University Hospital, Bergen, Norway
| | - Ole Bernt Fasmer
- grid.412008.f0000 0000 9753 1393Division of Psychiatry, Haukeland University Hospital, Bergen, Norway ,grid.7914.b0000 0004 1936 7443Department of Clinical Medicine, University of Bergen, Bergen, Norway ,grid.412008.f0000 0000 9753 1393Division of Psychiatry, NORMENT, Haukeland University Hospital, Bergen, Norway
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24
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Mazzotti DR, Haendel MA, McMurry JA, Smith CJ, Buysse DJ, Roenneberg T, Penzel T, Purcell S, Redline S, Zhang Y, Merikangas KR, Menetski JP, Mullington J, Boudreau E. Sleep and circadian informatics data harmonization: a workshop report from the Sleep Research Society and Sleep Research Network. Sleep 2022; 45:zsac002. [PMID: 35030631 PMCID: PMC9189941 DOI: 10.1093/sleep/zsac002] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Revised: 12/21/2021] [Indexed: 01/16/2023] Open
Abstract
The increasing availability and complexity of sleep and circadian data are equally exciting and challenging. The field is in constant technological development, generating better high-resolution physiological and molecular data than ever before. Yet, the promise of large-scale studies leveraging millions of patients is limited by suboptimal approaches for data sharing and interoperability. As a result, integration of valuable clinical and basic resources is problematic, preventing knowledge discovery and rapid translation of findings into clinical care. To understand the current data landscape in the sleep and circadian domains, the Sleep Research Society (SRS) and the Sleep Research Network (now a task force of the SRS) organized a workshop on informatics and data harmonization, presented at the World Sleep Congress 2019, in Vancouver, Canada. Experts in translational informatics gathered with sleep research experts to discuss opportunities and challenges in defining strategies for data harmonization. The goal of this workshop was to fuel discussion and foster innovative approaches for data integration and development of informatics infrastructure supporting multi-site collaboration. Key recommendations included collecting and storing findable, accessible, interoperable, and reusable data; identifying existing international cohorts and resources supporting research in sleep and circadian biology; and defining the most relevant sleep data elements and associated metadata that could be supported by early integration initiatives. This report introduces foundational concepts with the goal of facilitating engagement between the sleep/circadian and informatics communities and is a call to action for the implementation and adoption of data harmonization strategies in this domain.
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Affiliation(s)
- Diego R Mazzotti
- Division of Medical Informatics, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS, USA
- Division of Pulmonary Critical Care and Sleep Medicine, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS, USA
| | - Melissa A Haendel
- Center for Health AI, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Julie A McMurry
- Center for Health AI, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Connor J Smith
- Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR, USA
| | - Daniel J Buysse
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA,USA
| | - Till Roenneberg
- Institute and Polyclinic for Occupational-, Social- and Environmental Medicine, LMU Munich, Germany
| | - Thomas Penzel
- Interdisciplinary Center of Sleep Medicine, Charité University Hospital, Berlin, Germany
| | - Shaun Purcell
- Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Susan Redline
- Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Ying Zhang
- Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Kathleen R Merikangas
- Genetic Epidemiology Research Branch, Intramural Research Program, National Institute of Mental Health, Bethesda, MD, USA
| | | | - Janet Mullington
- Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Eilis Boudreau
- Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR, USA
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25
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Spano L, Hennion V, Marie-Claire C, Bellivier F, Scott J, Etain B. Associations between circadian misalignment and telomere length in BD: an actigraphy study. Int J Bipolar Disord 2022; 10:14. [PMID: 35619042 PMCID: PMC9135941 DOI: 10.1186/s40345-022-00260-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 04/25/2022] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Life expectancy is significantly decreased in bipolar disorder (BD). This is associated with accelerated cellular aging which can be estimated by telomere length (TL). However, specific determinants of shorter TL in BD are under-explored. This study examines whether circadian misalignment (i.e. mismatch between preferred and actual phase of circadian activity rhythms) is associated with shorter TL in BD. METHODS Euthymic individuals with BD (n = 101) undertook 21 consecutive days of actigraphy recording and completed the Composite Scale of Morningness (CSM) to assess phase preference for activities (chronotype). Polymerase chain reaction was used to measure TL in blood. Cluster analysis identified circadian aligned/misaligned subgroups as defined by preferred (CSM score) and actual phases of activity (actigraphically determined onset of active and inactive periods). We tested for any associations between TL and clusters, with adjustments for between-cluster differences in socio-demographic and illness factors. RESULTS We identified three clusters: an "Aligned Morning" cluster (n = 31) with preferred and actual timing of activity in the morning, an "Aligned Evening" cluster (n = 37) with preferred and actual timing of activity in the evening and a "Misaligned" cluster (n = 32) with an evening chronotype, but an earlier objective onset of active periods. After adjustment for confounders, we found that TL was significantly associated with circadian misalignment and older age. CONCLUSIONS Circadian misalignment may partly explain shorter TL in BD and could contribute to accelerated aging in these individuals.
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Affiliation(s)
- Luana Spano
- INSERM UMR-S 1144, Optimisation Thérapeutique en Neurospsychopharmacologie, OTeN, Université de Paris, 75006, Paris, France
| | - Vincent Hennion
- INSERM UMR-S 1144, Optimisation Thérapeutique en Neurospsychopharmacologie, OTeN, Université de Paris, 75006, Paris, France.,Université de Paris, Paris, France.,DMU Neurosciences, Département de Psychiatrie Et de Médecine Addictologique, AP-HP.Nord, GH Saint-Louis-Lariboisière-F. Widal, Paris, France
| | - Cynthia Marie-Claire
- INSERM UMR-S 1144, Optimisation Thérapeutique en Neurospsychopharmacologie, OTeN, Université de Paris, 75006, Paris, France
| | - Frank Bellivier
- INSERM UMR-S 1144, Optimisation Thérapeutique en Neurospsychopharmacologie, OTeN, Université de Paris, 75006, Paris, France.,Université de Paris, Paris, France.,DMU Neurosciences, Département de Psychiatrie Et de Médecine Addictologique, AP-HP.Nord, GH Saint-Louis-Lariboisière-F. Widal, Paris, France
| | - Jan Scott
- Université de Paris, Paris, France.,Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Bruno Etain
- INSERM UMR-S 1144, Optimisation Thérapeutique en Neurospsychopharmacologie, OTeN, Université de Paris, 75006, Paris, France. .,Université de Paris, Paris, France. .,DMU Neurosciences, Département de Psychiatrie Et de Médecine Addictologique, AP-HP.Nord, GH Saint-Louis-Lariboisière-F. Widal, Paris, France. .,Département de Psychiatrie et de Médecine Addictologique, Centre Expert Troubles Bipolaires, Hôpital Fernand Widal, 200, rue du Faubourg Saint Denis, 75010, Paris Cedex, France.
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26
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A network analysis of rest-activity rhythms in young people with emerging bipolar disorders. J Affect Disord 2022; 305:220-226. [PMID: 35288205 DOI: 10.1016/j.jad.2022.03.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Revised: 02/17/2022] [Accepted: 03/07/2022] [Indexed: 11/21/2022]
Abstract
AIMS Actigraphy studies of individuals with bipolar disorders (BD) suggest that illness progression may be associated with a range of progressive disruptions in 24-hour rest-activity rhythms (RAR). However, those longitudinal studies were undertaken in older adults with extended histories or illness and treatment rather than young people with emerging BD. To our knowledge, this is the first study to use network modelling to examine the statistical associations between clinical phenotypes of BD and different subsets of RAR markers. METHODS This study of adolescents and young adults (mean age 22 years; 69% female) uses network modelling to examine which self-rated or actigraphic markers of RAR are more strongly associated with full threshold BD (referred to as Stage 2; N = 15) compared with BD-at risk syndromes (subthreshold presentations referred to as Stage 1; N = 25). RESULTS Network analysis demonstrated that some RAR are associated with both stage of BD and a family history of BD (such as longer sleep duration and higher levels of daytime impairment). Markers of circadian rhythmicity indicated that regulation of this system is weaker in Stage 2 compared with Stage 1 of BD. LIMITATIONS The small subgroup samples may have undermined the ability to detect some associations between phenotypes and RAR. CONCLUSIONS Network modelling may offer a useful strategy for visualizing and analysing patterns of association between RAR and clinical phenotypes defined by stage of illness, familial loading or symptom profile. This could prove useful in understanding the underlying pathophysiology of sleep-wake cycle and circadian rhythm disturbances in BD.
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27
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Meyrel M, Scott J, Etain B. Chronotypes and circadian rest-activity rhythms in bipolar disorders: a meta-analysis of self- and observer rating scales. Bipolar Disord 2022; 24:286-297. [PMID: 34486201 DOI: 10.1111/bdi.13122] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2021] [Revised: 07/13/2021] [Accepted: 08/28/2021] [Indexed: 12/15/2022]
Abstract
OBJECTIVE Chronobiological models postulate that abnormalities in circadian rest/activity rhythms (CRAR) are core phenomena of bipolar disorders (BDs). We undertook a meta-analysis of published studies to determine whether self- or observer ratings of CRAR differentiate BD cases from comparators (typically healthy controls [HCs]). METHOD We undertook systematic searches of four databases to identify studies for inclusion in random effects meta-analyses and meta-regression analyses. Effect sizes (ES) for pooled analyses of self- and observer ratings were expressed as standardized mean differences with 95% confidence intervals (CIs). RESULTS The 30 studies meeting eligibility criteria included 2840 cases and 3573 controls. Compared with HC, BD cases showed greater eveningness (ES: 0.33; 95% CI: 0.12-0.54), lower flexibility of rhythms (ES: 0.36; 95% CI: 0.06-0.67), lower amplitude of rhythms (ES: 0.55; 95% CI: 0.39-0.70) and more disturbances across a range of CRAR (ES of 0.78-1.12 for general and social activities, sleep and eating patterns). Between study heterogeneity was high (I2 > 70%) and evidence indicated a potential publication bias for studies using the Biological Rhythms Interview of Assessment in Neuropsychiatry. Meta-regression analyses suggested significantly larger ES were observed in studies using observer ratings or including BD cases with higher levels of depressive symptoms. CONCLUSION This meta-analysis demonstrates that BD is associated with higher levels of self- or observer-rated CRAR disturbances compared with controls. However, further studies should examine the respective performance of individual instruments when used alone or in combination, to clarify their applicability and utility in clinical practice.
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Affiliation(s)
- Manon Meyrel
- Université de Paris, Paris, France.,Département de Psychiatrie et de Médecine Addictologique, APHP.Nord, DMU Neurosciences, GHU Lariboisière - Saint Louis - Fernand Widal, Paris, France
| | - Jan Scott
- Université de Paris, Paris, France.,Département de Psychiatrie et de Médecine Addictologique, APHP.Nord, DMU Neurosciences, GHU Lariboisière - Saint Louis - Fernand Widal, Paris, France.,Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK
| | - Bruno Etain
- Université de Paris, Paris, France.,Département de Psychiatrie et de Médecine Addictologique, APHP.Nord, DMU Neurosciences, GHU Lariboisière - Saint Louis - Fernand Widal, Paris, France.,INSERM UMRS-1144, Université de Paris, Paris, France
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28
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McCarthy MJ, Gottlieb JF, Gonzalez R, McClung CA, Alloy LB, Cain S, Dulcis D, Etain B, Frey BN, Garbazza C, Ketchesin KD, Landgraf D, Lee H, Marie‐Claire C, Nusslock R, Porcu A, Porter R, Ritter P, Scott J, Smith D, Swartz HA, Murray G. Neurobiological and behavioral mechanisms of circadian rhythm disruption in bipolar disorder: A critical multi-disciplinary literature review and agenda for future research from the ISBD task force on chronobiology. Bipolar Disord 2022; 24:232-263. [PMID: 34850507 PMCID: PMC9149148 DOI: 10.1111/bdi.13165] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
AIM Symptoms of bipolar disorder (BD) include changes in mood, activity, energy, sleep, and appetite. Since many of these processes are regulated by circadian function, circadian rhythm disturbance has been examined as a biological feature underlying BD. The International Society for Bipolar Disorders Chronobiology Task Force (CTF) was commissioned to review evidence for neurobiological and behavioral mechanisms pertinent to BD. METHOD Drawing upon expertise in animal models, biomarkers, physiology, and behavior, CTF analyzed the relevant cross-disciplinary literature to precisely frame the discussion around circadian rhythm disruption in BD, highlight key findings, and for the first time integrate findings across levels of analysis to develop an internally consistent, coherent theoretical framework. RESULTS Evidence from multiple sources implicates the circadian system in mood regulation, with corresponding associations with BD diagnoses and mood-related traits reported across genetic, cellular, physiological, and behavioral domains. However, circadian disruption does not appear to be specific to BD and is present across a variety of high-risk, prodromal, and syndromic psychiatric disorders. Substantial variability and ambiguity among the definitions, concepts and assumptions underlying the research have limited replication and the emergence of consensus findings. CONCLUSIONS Future research in circadian rhythms and its role in BD is warranted. Well-powered studies that carefully define associations between BD-related and chronobiologically-related constructs, and integrate across levels of analysis will be most illuminating.
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Affiliation(s)
- Michael J. McCarthy
- UC San Diego Department of Psychiatry & Center for Circadian BiologyLa JollaCaliforniaUSA
- VA San Diego Healthcare SystemSan DiegoCaliforniaUSA
| | - John F. Gottlieb
- Department of PsychiatryFeinberg School of MedicineNorthwestern UniversityChicagoIllinoisUSA
| | - Robert Gonzalez
- Department of Psychiatry and Behavioral HealthPennsylvania State UniversityHersheyPennsylvaniaUSA
| | - Colleen A. McClung
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Lauren B. Alloy
- Department of PsychologyTemple UniversityPhiladelphiaPennsylvaniaUSA
| | - Sean Cain
- School of Psychological Sciences and Turner Institute for Brain and Mental HealthMonash UniversityMelbourneVictoriaAustralia
| | - Davide Dulcis
- UC San Diego Department of Psychiatry & Center for Circadian BiologyLa JollaCaliforniaUSA
| | - Bruno Etain
- Université de ParisINSERM UMR‐S 1144ParisFrance
| | - Benicio N. Frey
- Department Psychiatry and Behavioral NeuroscienceMcMaster UniversityHamiltonOntarioCanada
| | - Corrado Garbazza
- Centre for ChronobiologyPsychiatric Hospital of the University of Basel and Transfaculty Research Platform Molecular and Cognitive NeurosciencesUniversity of BaselBaselSwitzerland
| | - Kyle D. Ketchesin
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Dominic Landgraf
- Circadian Biology GroupDepartment of Molecular NeurobiologyClinic of Psychiatry and PsychotherapyUniversity HospitalLudwig Maximilian UniversityMunichGermany
| | - Heon‐Jeong Lee
- Department of Psychiatry and Chronobiology InstituteKorea UniversitySeoulSouth Korea
| | | | - Robin Nusslock
- Department of Psychology and Institute for Policy ResearchNorthwestern UniversityChicagoIllinoisUSA
| | - Alessandra Porcu
- UC San Diego Department of Psychiatry & Center for Circadian BiologyLa JollaCaliforniaUSA
| | | | - Philipp Ritter
- Clinic for Psychiatry and PsychotherapyCarl Gustav Carus University Hospital and Technical University of DresdenDresdenGermany
| | - Jan Scott
- Institute of NeuroscienceNewcastle UniversityNewcastleUK
| | - Daniel Smith
- Division of PsychiatryUniversity of EdinburghEdinburghUK
| | - Holly A. Swartz
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Greg Murray
- Centre for Mental HealthSwinburne University of TechnologyMelbourneVictoriaAustralia
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Which Actigraphy Dimensions Predict Longitudinal Outcomes in Bipolar Disorders? J Clin Med 2022; 11:jcm11082204. [PMID: 35456294 PMCID: PMC9027161 DOI: 10.3390/jcm11082204] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 04/11/2022] [Accepted: 04/12/2022] [Indexed: 02/04/2023] Open
Abstract
Bipolar disorder (BD) is characterized by recurrent mood episodes. It is increasingly suggested that disturbances in sleep–wake cycles and/or circadian rhythms could represent valuable predictors of recurrence, but few studies have addressed this question. Euthymic individuals with BD (n = 69) undertook 3 weeks of actigraphy recording and were then followed up for a median duration of 3.5 years. Principal component analyses were used to identify core dimensions of sleep quantity/variability and circadian rhythmicity. Associations between clinical variables and actigraphy dimensions and time to first recurrence were explored using survival analyses, and then using area under the curve (AUC) analyses (early vs. late recurrence). Most participants (64%) experienced a recurrence during follow-up (median survival time: 18 months). After adjusting for potential confounding factors, an actigraphy dimension comprising amplitude and variability/stability of circadian rhythms was a significant predictor of time to recurrence (p = 0.009). The AUC for correct classification of early vs. late recurrence subgroups was only 0.64 for clinical predictors, but combining these variables with objectively measured intra-day variability improved the AUC to 0.82 (p = 0.04). Actigraphy estimates of circadian rhythms, particularly variability/stability and amplitude, may represent valid predictive markers of future BD recurrences and could be putative targets for future psychosocial interventions.
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Comiran Tonon A, Pilz LK, Amando GR, Constantino DB, Boff Borges R, Caye A, Rohrsetzer F, Souza L, Fisher HL, Kohrt BA, Mondelli V, Kieling C, Idiart M, Diez-Noguera A, Hidalgo MP. Handling missing data in rest-activity time series measured by actimetry. Chronobiol Int 2022; 39:964-975. [PMID: 35350931 DOI: 10.1080/07420528.2022.2051714] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
A handling procedure of off-wrist episodes in actimetry time series of motor activity is presented using two records (regular vs. irregular sleep-wake cycle and daytime activity) of 14 consecutive days sampled in 1-minute epochs. We generated single missing value (NA) intervals of 1 h, 2 h, 4 h, 6 h, 12 h, and 24 h as well as random NA episodes following probabilistic rules to simulate real-life off-wrist episodes. Then, we replaced these episodes with "zeroes" (i.e., the default of immobility records), mean or median of the remaining 13 days corresponding to the missing bins. Single missing episodes of up to 12 h resulted in less than 5% variation from the original values. The irregular series showed higher variability in acrophase, MESOR, L5, M10 and RA compared to the regular series. Random missing allocation simulating real-life off-wrist episodes resulted in significant changes in most parameters, and the imputation of zeroes significantly increased the variance; however, replacing NA with mean or median resulted in patterns similar to those of NA. We recommend replacing 'zeroes' with NA whenever possible, given the risk of inflating invariance using zeroes. If the parameters cannot be computed in the presence of NA, we recommend using the weekly mean of corresponding timepoints.
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Affiliation(s)
- André Comiran Tonon
- Sono, Hospital de Clínicas de Porto Alegre (HCPA), Federal University of Rio Grande do Sul (UFRGS)Laboratório de Cronobiologia e , Porto Alegre, Brazil.,in Psychiatry and Behavioral Sciences, Federal University of Rio Grande do Sul (UFRGS)Graduate Program , Porto Alegre, Brazil
| | - Luísa K Pilz
- Sono, Hospital de Clínicas de Porto Alegre (HCPA), Federal University of Rio Grande do Sul (UFRGS)Laboratório de Cronobiologia e , Porto Alegre, Brazil
| | - Guilherme Rodriguez Amando
- Sono, Hospital de Clínicas de Porto Alegre (HCPA), Federal University of Rio Grande do Sul (UFRGS)Laboratório de Cronobiologia e , Porto Alegre, Brazil.,in Psychiatry and Behavioral Sciences, Federal University of Rio Grande do Sul (UFRGS)Graduate Program , Porto Alegre, Brazil
| | - Débora Barroggi Constantino
- Sono, Hospital de Clínicas de Porto Alegre (HCPA), Federal University of Rio Grande do Sul (UFRGS)Laboratório de Cronobiologia e , Porto Alegre, Brazil.,in Psychiatry and Behavioral Sciences, Federal University of Rio Grande do Sul (UFRGS)Graduate Program , Porto Alegre, Brazil
| | - Rogério Boff Borges
- Unidade de Bioestatística, Diretoria de Pesquisa, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Brazil
| | - Arthur Caye
- Department of Psychiatry, School of Medicine, Universidade Federal do Rio Grande do Sul; Child and Adolescent Psychiatry Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Fernanda Rohrsetzer
- in Psychiatry and Behavioral Sciences, Federal University of Rio Grande do Sul (UFRGS)Graduate Program , Porto Alegre, Brazil.,Department of Psychiatry, School of Medicine, Universidade Federal do Rio Grande do Sul; Child and Adolescent Psychiatry Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Laila Souza
- Department of Psychiatry, School of Medicine, Universidade Federal do Rio Grande do Sul; Child and Adolescent Psychiatry Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Helen L Fisher
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, ESRC Centre for Society and Mental Health, King's College London, London, UK
| | - Brandon A Kohrt
- Division of Global Mental Health, Department of Psychiatry, School of Medicine and Health Sciences, The George Washington University, Washington, District of Columbia, US
| | - Valeria Mondelli
- King's College London, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience; National Institute for Health Research Mental Health Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK
| | - Christian Kieling
- in Psychiatry and Behavioral Sciences, Federal University of Rio Grande do Sul (UFRGS)Graduate Program , Porto Alegre, Brazil.,Department of Psychiatry, School of Medicine, Universidade Federal do Rio Grande do Sul; Child and Adolescent Psychiatry Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Marco Idiart
- Neurocomputational and Language Processing Laboratory, Institute of Physics, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.,Neuroscience Graduate Program, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre/RS, Brazil
| | - Antoni Diez-Noguera
- Fisiologia, Facultat de Farmàcia i Ciències de l'Alimentació, Universitat de BarcelonaDepartment de Bioquimica i , Barcelona, Spain
| | - Maria Paz Hidalgo
- Sono, Hospital de Clínicas de Porto Alegre (HCPA), Federal University of Rio Grande do Sul (UFRGS)Laboratório de Cronobiologia e , Porto Alegre, Brazil.,in Psychiatry and Behavioral Sciences, Federal University of Rio Grande do Sul (UFRGS)Graduate Program , Porto Alegre, Brazil
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Short communication: Do clinical guidelines for bipolar disorders adequately address sleep, circadian rhythm, activity and lifestyle problems? J Affect Disord 2022; 301:433-436. [PMID: 35063584 DOI: 10.1016/j.jad.2022.01.060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 01/10/2022] [Accepted: 01/12/2022] [Indexed: 11/24/2022]
Abstract
Objectives Clinical practice guidelines (CPGs) for the treatment of bipolar disorder (BD) provide guidance to health care professionals and patients about the management of core aspects of BD. This study evaluated the overall quality of CPGs and examined the quantity, specificity, clarity and utility of recommendations about four key contemporary themes: sleep, circadian rhythms, activity and energy, and healthy lifestyles. Methods English language editions of CPGs for the treatment of BD were identified by a systematic search of the literature from 2007 onwards (i.e. 15 years). Blind independent ratings were combined to give consensus scores for the quality of each CPGs (using the 14-item International Center for Allied Health Evidence guideline checklist). Composite ratings of the quantity, specificity, clarity and utility of recommendations about the key themes were undertaken using a 0-3 scale. Results Twenty-five CPGs were eligible for review. Overall quality was high (median checklist score=10), but only 11 (44%) CPGs included even basic information about circadian rhythm disturbances. Combined scores for composite ratings about sleep and circadian rhythms were significantly correlated with overall quality of the CPG (sleep, r = 0.43; circadian rhythms, r = 0.42) but not with year of publication. Limitations No reliable scale exists for generating composite ratings of the four themes we examined. Conclusions Circadian rhythms and chronobiology represent neglected domains in CPGs. Incorporating this important theme into future editions of CPGs would aid health care professionals to identify, prevent, or intervene with these problems and improve outcomes for a significant proportion of individuals with BD.
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Roloff T, Haussleiter I, Meister K, Juckel G. Sleep disturbances in the context of neurohormonal dysregulation in patients with bipolar disorder. Int J Bipolar Disord 2022; 10:6. [PMID: 35229223 PMCID: PMC8885957 DOI: 10.1186/s40345-022-00254-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Accepted: 01/31/2022] [Indexed: 12/27/2022] Open
Abstract
Background Sleep dysfunction is a core symptom in bipolar disorder (BD), especially during major mood episodes. This study investigated the possible link between subjective and objective sleep disturbances in inter-episode BD, changes in melatonin and cortisol levels, and circadian melatonin alignment. The study included 21 euthymic BD patients and 24 healthy controls. Participants had to wear an actigraphy device, keep a weekly sleep diary and take salivary samples: five samples on the last evening to determine the dim light melatonin onset (DLMO) and one the following morning to measure rising cortisol. Sleep quality was assessed by the Pittsburgh Sleep Quality Index (PSQI) and Regensburg Insomnia Scale (RIS), and circadian alignment by the phase angle difference (PAD). Results In comparison to healthy controls, BD patients had: (1) higher PSQI (5.52 ± 3.14 vs. 3.63 ± 2.18; p = 0.022) (significant after controlling for age and gender), and higher RIS scores (8.91 ± 5.43 vs. 5.83 ± 3.76; p = 0.031); (2) subjective a longer mean TST (p = 0.024) and TIB (p = 0.002) (both significant after controlling for age and gender), longer WASO (p = 0.019), and worse SE (p = 0.036) (significant after controlling for gender); (3) actigraphically validated earlier sleep onset (p = 0.002), less variation in sleep onset time (p = 0.005) and no longer TST (p = 0.176); (4) no differing melatonin levels (4.06 ± 2.77 vs. 3.35 ± 2.23 p = 0.352), an 1.65 h earlier DLMO (20.17 ± 1.63 vs. 21.82 ± 1.50; p = 0. 001) (significant after controlling for gender), and a phase advance of melatonin (6.35 ± 1.40 vs. 7.48 ± 1.53; p = 0.017) (significant after controlling for gender); and (5) no differing cortisol awakening response (16.97 ± 10.22 vs 17.06 ± 5.37 p = 0.969). Conclusions Patients with BD, even in euthymic phase, have a significantly worse perception of their sleep. Advanced sleep phases in BD might be worth further investigation and could help to explain the therapeutic effects of mood stabilizers such as lithium and valproate.
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Affiliation(s)
- Tom Roloff
- Department of Psychiatry, Psychotherapy and Preventive Medicine, LWL University Hospital, Ruhr University Bochum, Alexandrinenstr. 1, 44791, Bochum, Germany
| | - Ida Haussleiter
- Department of Psychiatry, Psychotherapy and Preventive Medicine, LWL University Hospital, Ruhr University Bochum, Alexandrinenstr. 1, 44791, Bochum, Germany
| | - Klara Meister
- Department of Psychiatry, Psychotherapy and Preventive Medicine, LWL University Hospital, Ruhr University Bochum, Alexandrinenstr. 1, 44791, Bochum, Germany
| | - Georg Juckel
- Department of Psychiatry, Psychotherapy and Preventive Medicine, LWL University Hospital, Ruhr University Bochum, Alexandrinenstr. 1, 44791, Bochum, Germany.
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Panchal P, de Queiroz Campos G, Goldman DA, Auerbach RP, Merikangas KR, Swartz HA, Sankar A, Blumberg HP. Toward a Digital Future in Bipolar Disorder Assessment: A Systematic Review of Disruptions in the Rest-Activity Cycle as Measured by Actigraphy. Front Psychiatry 2022; 13:780726. [PMID: 35677875 PMCID: PMC9167949 DOI: 10.3389/fpsyt.2022.780726] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Accepted: 04/26/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Disruptions in rest and activity patterns are core features of bipolar disorder (BD). However, previous methods have been limited in fully characterizing the patterns. There is still a need to capture dysfunction in daily activity as well as rest patterns in order to more holistically understand the nature of 24-h rhythms in BD. Recent developments in the standardization, processing, and analyses of wearable digital actigraphy devices are advancing longitudinal investigation of rest-activity patterns in real time. The current systematic review aimed to summarize the literature on actigraphy measures of rest-activity patterns in BD to inform the future use of this technology. METHODS A comprehensive systematic review using PRISMA guidelines was conducted through PubMed, MEDLINE, PsycINFO, and EMBASE databases, for papers published up to February 2021. Relevant articles utilizing actigraphy measures were extracted and summarized. These papers contributed to three research areas addressed, pertaining to the nature of rest-activity patterns in BD, and the effects of therapeutic interventions on these patterns. RESULTS Seventy articles were included. BD was associated with longer sleep onset latency and duration, particularly during depressive episodes and with predictive value for worsening of future manic symptoms. Lower overall daily activity was also associated with BD, especially during depressive episodes, while more variable activity patterns within a day were seen in mania. A small number of studies linked these disruptions with differential patterns of brain functioning and cognitive impairments, as well as more adverse outcomes including increased suicide risk. The stabilizing effect of therapeutic options, including pharmacotherapies and chronotherapies, on activity patterns was supported. CONCLUSION The use of actigraphy provides valuable information about rest-activity patterns in BD. Although results suggest that variability in rhythms over time may be a specific feature of BD, definitive conclusions are limited by the small number of studies assessing longitudinal changes over days. Thus, there is an urgent need to extend this work to examine patterns of rhythmicity and regularity in BD. Actigraphy research holds great promise to identify a much-needed specific phenotypic marker for BD that will aid in the development of improved detection, treatment, and prevention options.
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Affiliation(s)
- Priyanka Panchal
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, United States.,Department of Psychiatry, University of Oxford, Oxford, United Kingdom
| | | | - Danielle A Goldman
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, United States.,Interdepartmental Neuroscience Program, Yale School of Medicine, New Haven, CT, United States
| | - Randy P Auerbach
- Department of Psychiatry, Columbia University, New York, NY, United States
| | - Kathleen R Merikangas
- Genetic Epidemiology Research Branch, Intramural Research Program, National Institute of Mental Health, Bethesda, MD, United States
| | - Holly A Swartz
- Department of Psychiatry, University of Pittsburgh Medical Center, Pittsburgh, PA, United States
| | - Anjali Sankar
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, United States.,Neurobiology Research Unit, Rigshospitalet, Copenhagen, Denmark
| | - Hilary P Blumberg
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, United States.,Department of Radiology and Biomedical Imaging, and the Child Study Center, Yale School of Medicine, New Haven, CT, United States
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34
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Moon E, Yang M, Seon Q, Linnaranta O. Relevance of Objective Measures in Psychiatric Disorders-Rest-Activity Rhythm and Psychophysiological Measures. Curr Psychiatry Rep 2021; 23:85. [PMID: 34714422 PMCID: PMC8556205 DOI: 10.1007/s11920-021-01291-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/08/2021] [Indexed: 12/28/2022]
Abstract
PURPOSE OF REVIEW We present a review of recent methods of objective measurement in psychiatry and psychology with a focus on home monitoring and its utility in guiding treatment. RECENT FINDINGS For individualized diagnostics and treatment of insomnia, actigraphy can generate clinically useful graphical presentations of sleep timing and patterns. Psychophysiological measures may complement psychometrics by tracking parallel changes in physiological responses and emotional functioning, especially during therapy for trauma symptoms and emotion regulation. It seems that rather than defining universal cut-offs, an individualised range of variability could characterize treatment response. Wearable actigraphy and psychophysiological sensors are promising devices to provide biofeedback and guide treatment. Use of feasible and reliable technology during experimental and clinical procedures may necessitate defining healthy and abnormal responses in different populations and pathological states. We present a "call for action" towards further collaborative work to enable large scale use of objective measures.
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Affiliation(s)
- Eunsoo Moon
- Department of Psychiatry, Pusan National University School of Medicine, Yangsan, Republic of Korea
- Department of Psychiatry and Biomedical Institute, Pusan National University Hospital, Busan, Republic of Korea
| | - Michelle Yang
- Interdisciplinary Health Sciences, University of Ottawa, Ottawa, ON, Canada
| | - Quinta Seon
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Outi Linnaranta
- Department of Psychiatry, McGill University, Montreal, QC, Canada.
- Mental Health Unit, Finnish Institute for Health and Welfare, P.O. Box 30, 00271, Helsinki, Finland.
- Douglas Centre for Sleep and Biological Rhythms, Douglas Mental Health University Institute, 6875 LaSalle Boulevard, Montreal, QC, H4H 1R3, Canada.
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35
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Association between circadian activity rhythms and mood episode relapse in bipolar disorder: a 12-month prospective cohort study. Transl Psychiatry 2021; 11:525. [PMID: 34645802 PMCID: PMC8514471 DOI: 10.1038/s41398-021-01652-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Revised: 09/24/2021] [Accepted: 09/30/2021] [Indexed: 12/22/2022] Open
Abstract
A significant proportion of patients with bipolar disorder experience mood episode relapses. We examined whether circadian activity rhythms were associated with mood episode relapses in patients with bipolar disorder. This prospective cohort study included outpatients with bipolar disorder who participated in a study titled "Association between the Pathology of Bipolar Disorder and Light Exposure in Daily Life (APPLE) cohort study." The participants' physical activity was objectively assessed using a wrist-worn accelerometer over 7 consecutive days for the baseline assessment and then at the 12-month follow-up for mood episode relapses. The levels and timing of the circadian activity rhythms were estimated using a cosinor analysis and a nonparametric circadian rhythm analysis. Of the 189 participants, 88 (46%) experienced mood episodes during follow-up. The Cox proportional hazards model adjusting for potential confounders showed that a robust circadian activity rhythm, including midline-estimating statistic of rhythm (MESOR) and amplitude by cosinor analysis and 10 consecutive hours with the highest amplitude values (M10) by the nonparametric circadian rhythm analysis, was significantly associated with a decrease in mood episode relapses (per counts/min, hazard ratio [95% confidence interval]: MESOR, 0.993 [0.988-0.997]; amplitude, 0.994 [0.988-0.999]; and M10, 0.996 [0.993-0.999]). A later timing of the circadian activity rhythm (M10 onset time) was significantly associated with an increase in the depressive episode relapses (per hour; 1.109 [1.001-1.215]). We observed significant associations between circadian activity rhythms and mood episode relapses in bipolar disorder.
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Kahawage P, Crowe M, Gottlieb J, Swartz HA, Yatham LN, Bullock B, Inder M, Porter R, Nierenberg AA, Meesters Y, Gordjin M, Haarman BCM, Murray G. Adrift in time: the subjective experience of circadian challenge during COVID-19 amongst people with mood disorders. Chronobiol Int 2021; 39:57-67. [PMID: 34565268 DOI: 10.1080/07420528.2021.1967971] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Social distancing/lockdown policies during the coronavirus (COVID-19) pandemic may alter social rhythms of people through imposition of restrictions on normal daily activities. This may in turn challenge circadian function, particularly in people with mood disorders. Although objective data describing the relationship between circadian disturbances and mood disorders exist, data regarding the subjective experience of circadian challenge is sparse, and its association with mood symptoms is unclear. The present qualitative study was one component of a mixed-methods multi-national project, which took advantage of widespread disruption to daily routines due to Government COVID-related lockdowns during 2020. The Behavior Emotion and Timing during COVID-19 (BEATCOVID) survey study included three open questions generating qualitative data on participants' subjective experience of social disruption due to social distancing/lockdown policies, two of which asked about the barriers and opportunities for stabilizing routines. Responses were coded and analyzed using Thematic Analysis. A total of N = 997 participants responded to at least one of the free-text questions. Four themes were identified: 1) loss of daily timed activities, 2) role of social interaction, 3) altered time perception and 4) disruption to motivation and associated psychological effects. Themes were organized into a provisional heuristic map, generating hypotheses for future research centered on the new concept of 'psychological drift.'
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Affiliation(s)
- Piyumi Kahawage
- Centre for Mental Health, Swinburne University of Technology, Melbourne, Australia
| | - Marie Crowe
- Department of Psychological Medicine, University of Otago, Christchurch, New Zealand
| | - John Gottlieb
- Department of Psychiatry and Behavioural Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Holly A Swartz
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Lakshmi N Yatham
- Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | - Ben Bullock
- Centre for Mental Health, Swinburne University of Technology, Melbourne, Australia
| | - Maree Inder
- Department of Psychological Medicine, University of Otago, Christchurch, New Zealand
| | - Richard Porter
- Department of Psychological Medicine, University of Otago, Christchurch, New Zealand
| | - Andrew A Nierenberg
- Dauten Family Center for Bipolar Treatment Innovation, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusettes, USA
| | - Ybe Meesters
- Department of Psychiatry Groningen, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Marijke Gordjin
- Chrono@Work & Chronobiology Unit, Groningen Institute for Evolutionary Life Sciences, University of Groningen, Groningen, The Netherlands
| | - Bartholomeus C M Haarman
- Department of Psychiatry Groningen, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Greg Murray
- Centre for Mental Health, Swinburne University of Technology, Melbourne, Australia
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37
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Crouse JJ, Carpenter JS, Song YJC, Hockey SJ, Naismith SL, Grunstein RR, Scott EM, Merikangas KR, Scott J, Hickie IB. Circadian rhythm sleep-wake disturbances and depression in young people: implications for prevention and early intervention. Lancet Psychiatry 2021; 8:813-823. [PMID: 34419186 DOI: 10.1016/s2215-0366(21)00034-1] [Citation(s) in RCA: 69] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Revised: 01/19/2021] [Accepted: 01/21/2021] [Indexed: 12/19/2022]
Abstract
A rate-limiting step in the prevention and early intervention of depressive disorders in young people is our insufficient understanding of causal mechanisms. One plausible pathophysiological pathway is disturbance in the 24 h sleep-wake cycle and the underlying circadian system. Abnormalities in circadian rhythms are well documented in adults with various depressive disorders and have been linked to core clinical features, including unstable mood, daytime fatigue, non-restorative sleep, reduced motor activity, somatic symptoms, and appetite and weight change. In this Review, we summarise four areas of research: basic circadian biology and animal models of circadian disturbances; developmental changes in circadian rhythms during adolescence and implications for the emergence of adolescent-onset depressive syndromes; community and clinical studies linking 24 h sleep-wake cycle disturbances and depressive disorders; and clinical trials of circadian-based treatments. We present recommendations based on a highly personalised, early intervention model for circadian-linked depression in young people.
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Affiliation(s)
- Jacob J Crouse
- Youth Mental Health and Technology Team, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia.
| | - Joanne S Carpenter
- Youth Mental Health and Technology Team, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - Yun Ju C Song
- Youth Mental Health and Technology Team, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - Samuel J Hockey
- Youth Mental Health and Technology Team, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - Sharon L Naismith
- Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - Ronald R Grunstein
- Woolcock Institute of Medical Research, Sleep and Circadian Research Group, Sydney, NSW, Australia
| | - Elizabeth M Scott
- St Vincent's and Mater Clinical School, The University of Notre Dame, Sydney, NSW, Australia
| | - Kathleen R Merikangas
- Genetic Epidemiology Research Branch, Division of Intramural Research Program, National Institute of Mental Health, Bethesda, MD, USA
| | - Jan Scott
- Academic Psychiatry, Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK
| | - Ian B Hickie
- Youth Mental Health and Technology Team, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
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Palagini L, Manni R, Aguglia E, Amore M, Brugnoli R, Bioulac S, Bourgin P, Micoulaud Franchi JA, Girardi P, Grassi L, Lopez R, Mencacci C, Plazzi G, Maruani J, Minervino A, Philip P, Royant Parola S, Poirot I, Nobili L, Biggio G, Schroder CM, Geoffroy PA. International Expert Opinions and Recommendations on the Use of Melatonin in the Treatment of Insomnia and Circadian Sleep Disturbances in Adult Neuropsychiatric Disorders. Front Psychiatry 2021; 12:688890. [PMID: 34177671 PMCID: PMC8222620 DOI: 10.3389/fpsyt.2021.688890] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Accepted: 04/29/2021] [Indexed: 12/14/2022] Open
Abstract
Introduction: Insomnia and circadian rhythm disorders, such as the delayed sleep phase syndrome, are frequent in psychiatric disorders and their evaluation and management in early stages should be a priority. The aim of this paper was to express recommendations on the use of exogenous melatonin, which exhibits both chronobiotic and sleep-promoting actions, for the treatment of these sleep disturbances in psychiatric disorders. Methods: To this aim, we conducted a systematic review according to PRISMA on the use of melatonin for the treatment of insomnia and circadian sleep disorders in neuropsychiatry. We expressed recommendations for the use of melatonin in psychiatric clinical practice for each disorder using the RAND/UCLA appropriateness method. Results: We selected 41 studies, which included mood disorders, schizophrenia, substance use disorders, attention deficit hyperactivity disorders, autism spectrum disorders, neurocognitive disorders, and delirium; no studies were found for both anxiety and eating disorders. Conclusion: The administration of prolonged release melatonin at 2-10 mg, 1-2 h before bedtime, might be used in the treatment of insomnia symptoms or comorbid insomnia in mood disorders, schizophrenia, in adults with autism spectrum disorders, neurocognitive disorders and during sedative-hypnotics discontinuation. Immediate release melatonin at <1 mg might be useful in the treatment of circadian sleep disturbances of neuropsychiatric disorders.
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Affiliation(s)
- Laura Palagini
- Psychiatry Division, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Raffaele Manni
- Unit of Sleep Medicine and Epilepsy, Istituto di Ricovero e Cura a Carattere Scientifico Mondino Foundation, Pavia, Italy
| | - Eugenio Aguglia
- Department of Experimental and Clinical Medicine, Psychiatric Clinic University Hospital “Gaspare Rodolico”, University of Catania, Catania, Italy
| | - Mario Amore
- Section of Psychiatry, Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, Genoa, Italy
- Istituto di Ricovero e Cura a Carattere Scientifico Ospedale Policlinico San Martino, Genoa, Italy
| | - Roberto Brugnoli
- Department of Neuroscience, Mental Health, and Sensory Organs (NESMOS), Faculty of Medicine and Psychology, Sant'Andrea University Hospital, Sapienza University, Rome, Italy
| | - Stéphanie Bioulac
- University Sleep Clinic, Services of Functional Exploration of the Nervous System, University Hospital of Bordeaux, and USR CNRS 3413 SANPSY, University Hospital Pellegrin, University of Bordeaux, Bordeaux, France
| | - Patrice Bourgin
- Institut des Neurosciences Cellulaires et Intégratives, CNRS-UPR 3212, Strasbourg, France
- Centre des troubles du sommeil - CIRCSom, Strasbourg University Hospitals, Strasbourg, France
| | - Jean-Arthur Micoulaud Franchi
- University Sleep Clinic, Services of Functional Exploration of the Nervous System, University Hospital of Bordeaux, and USR CNRS 3413 SANPSY, University Hospital Pellegrin, University of Bordeaux, Bordeaux, France
| | - Paolo Girardi
- Department of Neuroscience, Mental Health, and Sensory Organs (NESMOS), Faculty of Medicine and Psychology, Sant'Andrea University Hospital, Sapienza University, Rome, Italy
| | - Luigi Grassi
- Department of Neuroscience and Rehabilitation, University of Ferrara, Ferrara, Italy
| | - Régis Lopez
- Service de Neurologie, Centre National de Référence Narcolepsie Hypersomnies, Unité des Troubles du Sommeil, Hôpital Gui-de-Chauliac Montpellier, Montpellier, France
- PSNREC, Univ Montpellier, INSERM, Montpellier, France
| | - Claudio Mencacci
- Department of Neuroscience, Aziende Socio Sanitarie Territoriali Fatebenefratelli Sacco, Milan, Italy
| | - Giuseppe Plazzi
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
- Istituto di Ricovero e Cura a Carattere Scientifico, Institute of Neurological Sciences of Bologna, Bologna, Italy
| | - Julia Maruani
- Département de psychiatrie et d'addictologie, AP-HP, GHU Paris Nord, DMU Neurosciences, Hopital Bichat - Claude Bernard, Paris, France
| | - Antonino Minervino
- Department of Psychiatry, Italian Society of Psychosomatic Medicine (SIMP), Parma, Italy
| | - Pierre Philip
- University Sleep Clinic, Services of Functional Exploration of the Nervous System, University Hospital of Bordeaux, and USR CNRS 3413 SANPSY, University Hospital Pellegrin, University of Bordeaux, Bordeaux, France
| | | | - Isabelle Poirot
- Service de psychiatrie adulte, Hôpital Fontan, CHU de Lille, Lille, France
| | - Lino Nobili
- Department of Neuroscience (DINOGMI), University of Genoa, Genoa, Italy
- Istituto di Ricovero e Cura a Carattere Scientifico, Child Neuropsychiatry Unit, Giannina Gaslini Institute, Genoa, Italy
| | - Giovanni Biggio
- Department of Life and Environmental Sciences, Institute of Neuroscience, CNR, University of Cagliari, Cagliari, Italy
| | - Carmen M. Schroder
- Institut des Neurosciences Cellulaires et Intégratives, CNRS-UPR 3212, Strasbourg, France
- Department of Child and Adolescent Psychiatry, Strasbourg University Hospitals, Strasbourg, France
| | - Pierre A. Geoffroy
- Département de psychiatrie et d'addictologie, AP-HP, GHU Paris Nord, DMU Neurosciences, Hopital Bichat - Claude Bernard, Paris, France
- GHU Paris - Psychiatry & Neurosciences, Paris, France
- CNRS UPR 3212, Institute for Cellular and Integrative Neurosciences, Strasbourg, France
- Université de Paris, NeuroDiderot, Inserm, Paris, France
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Murray G, Gottlieb J, Swartz HA. Maintaining Daily Routines to Stabilize Mood: Theory, Data, and Potential Intervention for Circadian Consequences of COVID-19. CANADIAN JOURNAL OF PSYCHIATRY. REVUE CANADIENNE DE PSYCHIATRIE 2021; 66:9-13. [PMID: 32909832 PMCID: PMC7890582 DOI: 10.1177/0706743720957825] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Greg Murray
- Centre for Mental Health, 3783Swinburne University of Technology, Melbourne, Victoria, Australia
| | - John Gottlieb
- Department of Psychiatry and Behavioral Sciences, 3270Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Holly A Swartz
- Department of Psychiatry, 6614University of Pittsburgh, Pittsburgh, PA, USA
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40
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Dunster GP, Swendsen J, Merikangas KR. Real-time mobile monitoring of bipolar disorder: a review of evidence and future directions. Neuropsychopharmacology 2021; 46:197-208. [PMID: 32919408 PMCID: PMC7688933 DOI: 10.1038/s41386-020-00830-5] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Revised: 07/17/2020] [Accepted: 07/30/2020] [Indexed: 02/07/2023]
Abstract
Rapidly accumulating data from mobile assessments are facilitating our ability to track patterns of emotions, behaviors, biologic rhythms, and their contextual influences in real time. These approaches have been widely applied to study the core features, traits, changes in states, and the impact of treatments in bipolar disorder (BD). This paper reviews recent evidence on the application of both passive and active mobile technologies to gain insight into the role of the circadian system and patterns of sleep and motor activity in people with BD. Findings of more than two dozen studies converge in demonstrating a broad range of sleep disturbances, particularly longer duration and variability of sleep patterns, lower average and greater variability of motor activity, and a shift to later peak activity and sleep midpoint, indicative of greater evening orientation among people with BD. The strong associations across the domains tapped by real-time monitoring suggest that future research should shift focus on sleep, physical/motor activity, or circadian patterns to identify common biologic pathways that influence their interrelations. The development of novel data-driven functional analytic tools has enabled the derivation of individualized multilevel dynamic representations of rhythms of multiple homeostatic regulatory systems. These multimodal tools can inform clinical research through identifying heterogeneity of the manifestations of BD and provide more objective indices of treatment response in real-world settings. Collaborative efforts with common protocols for the application of multimodal sensor technology will facilitate our ability to gain deeper insight into mechanisms and multisystem dynamics, as well as environmental, physiologic, and genetic correlates of BD.
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Affiliation(s)
- Gideon P. Dunster
- grid.416868.50000 0004 0464 0574Intramural Research Program, National Institute of Mental Health, Bethesda, MD USA
| | - Joel Swendsen
- grid.412041.20000 0001 2106 639XUniversity of Bordeaux, National Center for Scientific Research; EPHE PSL Research University, Bordeaux, France
| | - Kathleen Ries Merikangas
- Intramural Research Program, National Institute of Mental Health, Bethesda, MD, USA. .,Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
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