1
|
Maltezos A, Perrault AA, Walsh NA, Phillips EM, Gong K, Tarelli L, Smith D, Cross NE, Pomares FB, Gouin JP, Dang-Vu TT. Methodological approach to sleep state misperception in insomnia disorder: Comparison between multiple nights of actigraphy recordings and a single night of polysomnography recording. Sleep Med 2024; 115:21-29. [PMID: 38325157 DOI: 10.1016/j.sleep.2024.01.027] [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: 09/05/2023] [Revised: 12/11/2023] [Accepted: 01/28/2024] [Indexed: 02/09/2024]
Abstract
STUDY OBJECTIVE To provide a comprehensive assessment of sleep state misperception in insomnia disorder (INS) and good sleepers (GS) by comparing recordings performed for one night in-lab (PSG and night review) and during several nights at-home (actigraphy and sleep diaries). METHODS Fifty-seven INS and 29 GS wore an actigraphy device and filled a sleep diary for two weeks at-home. They subsequently completed a PSG recording and filled a night review in-lab. Sleep perception index (subjective/objective × 100) of sleep onset latency (SOL), sleep duration (TST) and wake duration (TST) were computed and compared between methods and groups. RESULTS GS displayed a tendency to overestimate TST and WASO but correctly perceived SOL. The degree of misperception was similar across methods within the GS group. In contrast, INS underestimated their TST and overestimated their SOL both in-lab and at-home, yet the severity of misperception of SOL was larger at-home than in-lab. Finally, INS overestimated WASO only in-lab while correctly perceiving it at-home. While only the degree of TST misperception was stable across methods in INS, misperception of SOL and WASO were dependent on the method used. CONCLUSIONS We found that GS and INS exhibit opposite patterns and severity of sleep misperception. While the degree of misperception in GS was similar across methods, only sleep duration misperception was reliably detected by both in-lab and at-home methods in INS. Our results highlight that, when assessing sleep misperception in insomnia disorder, the environment and method of data collection should be carefully considered.
Collapse
Affiliation(s)
- Antonia Maltezos
- Sleep, Cognition and Neuroimaging Lab, Department of Health, Kinesiology and Applied Physiology & Center for Studies in Behavioral Neurobiology, Concordia University, Montreal, QC, Canada; Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, CIUSSS Centre-Sud-de-l'Ile-de-Montréal, QC, Canada; Department of Neuroscience, Université de Montreal, Montreal, QC, Canada
| | - Aurore A Perrault
- Sleep, Cognition and Neuroimaging Lab, Department of Health, Kinesiology and Applied Physiology & Center for Studies in Behavioral Neurobiology, Concordia University, Montreal, QC, Canada; Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, CIUSSS Centre-Sud-de-l'Ile-de-Montréal, QC, Canada.
| | - Nyissa A Walsh
- Sleep, Cognition and Neuroimaging Lab, Department of Health, Kinesiology and Applied Physiology & Center for Studies in Behavioral Neurobiology, Concordia University, Montreal, QC, Canada; Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, CIUSSS Centre-Sud-de-l'Ile-de-Montréal, QC, Canada; Department of Psychology & Centre for Clinical Research in Health, Concordia University, Montreal, QC, Canada
| | - Emma-Maria Phillips
- Sleep, Cognition and Neuroimaging Lab, Department of Health, Kinesiology and Applied Physiology & Center for Studies in Behavioral Neurobiology, Concordia University, Montreal, QC, Canada; Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, CIUSSS Centre-Sud-de-l'Ile-de-Montréal, QC, Canada; Department of Neuroscience, Université de Montreal, Montreal, QC, Canada
| | - Kirsten Gong
- Sleep, Cognition and Neuroimaging Lab, Department of Health, Kinesiology and Applied Physiology & Center for Studies in Behavioral Neurobiology, Concordia University, Montreal, QC, Canada; Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, CIUSSS Centre-Sud-de-l'Ile-de-Montréal, QC, Canada; Department of Psychology & Centre for Clinical Research in Health, Concordia University, Montreal, QC, Canada
| | - Lukia Tarelli
- Sleep, Cognition and Neuroimaging Lab, Department of Health, Kinesiology and Applied Physiology & Center for Studies in Behavioral Neurobiology, Concordia University, Montreal, QC, Canada; Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, CIUSSS Centre-Sud-de-l'Ile-de-Montréal, QC, Canada; Department of Psychology & Centre for Clinical Research in Health, Concordia University, Montreal, QC, Canada
| | - Dylan Smith
- Sleep, Cognition and Neuroimaging Lab, Department of Health, Kinesiology and Applied Physiology & Center for Studies in Behavioral Neurobiology, Concordia University, Montreal, QC, Canada
| | - Nathan E Cross
- Sleep, Cognition and Neuroimaging Lab, Department of Health, Kinesiology and Applied Physiology & Center for Studies in Behavioral Neurobiology, Concordia University, Montreal, QC, Canada; Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, CIUSSS Centre-Sud-de-l'Ile-de-Montréal, QC, Canada
| | - Florence B Pomares
- Sleep, Cognition and Neuroimaging Lab, Department of Health, Kinesiology and Applied Physiology & Center for Studies in Behavioral Neurobiology, Concordia University, Montreal, QC, Canada; Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, CIUSSS Centre-Sud-de-l'Ile-de-Montréal, QC, Canada
| | - Jean-Philippe Gouin
- Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, CIUSSS Centre-Sud-de-l'Ile-de-Montréal, QC, Canada; Department of Psychology & Centre for Clinical Research in Health, Concordia University, Montreal, QC, Canada
| | - Thien Thanh Dang-Vu
- Sleep, Cognition and Neuroimaging Lab, Department of Health, Kinesiology and Applied Physiology & Center for Studies in Behavioral Neurobiology, Concordia University, Montreal, QC, Canada; Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, CIUSSS Centre-Sud-de-l'Ile-de-Montréal, QC, Canada; Department of Neuroscience, Université de Montreal, Montreal, QC, Canada.
| |
Collapse
|
2
|
Glastad SH, Aminoff SR, Hagen R, Høegh MC, Büchmann CB, Barrett EA, Melle I, Etain B, Lagerberg TV. Nicotine use and non-pathological alcohol use and their relationship to affective symptoms and sleep disturbances in bipolar disorder. J Affect Disord 2023; 327:236-243. [PMID: 36746243 DOI: 10.1016/j.jad.2023.02.003] [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: 11/22/2022] [Revised: 01/30/2023] [Accepted: 02/01/2023] [Indexed: 02/08/2023]
Abstract
BACKGROUND The use of alcohol and nicotine can negatively impact the course of bipolar disorder (BD), but there is limited knowledge about how symptoms and sleep disturbances are related to concurrent nicotine use and non-pathological use of alcohol. METHODS We investigated how nicotine use and non-pathological use of alcohol relates to affective symptoms and sleep disturbances in 453 participants with BD without substance use disorders. Manic symptoms were assessed with the Young Mania Rating Scale, and depressive symptoms with The Inventory of Depressive Symptomatology, Clinician-Rated (IDS-C). Sleep-related questions from IDS-C were used to create proxy variables for sleep disturbances, including Insomnia and Hypersomnia. Multinomial regression analysis was conducted to investigate the associations between nicotine use and sleep disturbances, controlling for possible confounders such as current use of illicit drugs and psychopharmacological treatment. RESULTS Depressive and manic symptoms were not associated with the concurrent level of alcohol or nicotine use. Individuals with medium and high levels of daily nicotine use had higher risk of insomnia than those without. Non-pathological alcohol use was not associated with sleep disturbances. LIMITATIONS Sleep disturbances were based on items from the IDS-C questionnaire. CONCLUSION We found an elevated risk for insomnia in individuals with BD and medium or high levels of daily nicotine use. We found no association between the level of affective symptoms and the level of use of alcohol or nicotine. The direction of the relationship between nicotine use and insomnia needs clarification, as it is highly relevant for treatment planning.
Collapse
Affiliation(s)
- Stine Holmstul Glastad
- NORMENT, Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway.
| | - Sofie Ragnhild Aminoff
- NORMENT, Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway; Early Intervention in Psychosis Advisory Unit for South East Norway, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Roger Hagen
- Department of Psychology, University of Oslo, Oslo, Norway; Department of Psychology, Norwegian University of Science and Technology, Trondheim, Norway; Research institute, Modum Bad, Vikersund, Norway
| | - Margrethe Collier Høegh
- NORMENT, Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway
| | - Camilla Bakkalia Büchmann
- NORMENT, Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway
| | - Elizabeth Ann Barrett
- NORMENT, Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway; Early Intervention in Psychosis Advisory Unit for South East Norway, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Ingrid Melle
- NORMENT, Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway
| | - Bruno Etain
- INSERM U1144, Optimisation Thérapeutique en Neuropsychopharmacologie, Paris, France; Département de Psychiatrie et de Médecine Addictologique, Hôpital Fernand Widal, Assistance Publique des Hôpitaux de Paris (APHP), Paris, France; Université Paris Cité, Paris, France; Fondation FondaMental, Créteil, France
| | - Trine Vik Lagerberg
- NORMENT, Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway
| |
Collapse
|
3
|
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.
Collapse
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.
| |
Collapse
|
4
|
Xu B, Cai Q, Mai R, Liang H, Huang J, Yang Z. Sleep EEG characteristics associated with total sleep time misperception in young adults: an exploratory study. BEHAVIORAL AND BRAIN FUNCTIONS : BBF 2022; 18:2. [PMID: 35073948 PMCID: PMC8788124 DOI: 10.1186/s12993-022-00188-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Accepted: 01/17/2022] [Indexed: 11/10/2022]
Abstract
Background Power spectral analysis (PSA) is one of the most commonly-used EEG markers of cortical hyperarousal, and can help to understand subjective–objective sleep discrepancy (SOD). Age is associated with decreased sleep EEG activity; however, the PSA of young adults is currently limited. Thus, this study aimed to examine the correlation of spectral EEG power with total sleep time (TST) misperception in young patients. Methods Forty-seven young adults were recruited and underwent a polysomnography recording in a sleep laboratory. Clinical records and self-report questionnaires of all patients were collected, and were used to categorize patients into a good sleeper (GS) group (n = 10), insomnia with a low mismatch group (IWLM, n = 19) or participant with a high mismatch group (IWHM, n = 18). PSA was applied to the first 6 h of sleep. Results IWHM patients exhibited a higher absolute power and relative beta/delta ratio in the frontal region compared to the GS group. No significant difference was observed between the IWLM and GS groups. No significant difference in the above parameters was observed between the IWHM and IWLM groups. Moreover, The SOD of TST was positively correlated with frontal absolute power and the relative beta/delta ratio (r = 0.363, P = 0.012; r = 0.363, P = 0.012), and absolute beta EEG spectral power (r = 0.313, P = 0.032) as well as the number of arousals. Conclusions Increased frontal beta/delta ratio EEG power was found in young patients with a high mismatch but not in those with a low mismatch, compared with good sleepers. This suggests that there exists increased cortical activity in IWHM patients. In addition, the frontal beta/delta ratio and the number of arousals was positively correlated with the SOD of TST.
Collapse
Affiliation(s)
- Biyun Xu
- Department of Fangcun Sleep-Disorder, the Second Clinical College of Guangzhou University of Chinese Medicine (Guangdong Provincial Hopsital of Chinese Medicine), Guangzhou, 510120, China. .,Applicants for Doctoral Degree with an Equivalent Educational Level in Guangzhou University of Chinese Medicine, Guangzhou, 510006, China. .,, 111 Dade Road, Yuexiu District, Guangzhou, 510120, China.
| | - Qinghao Cai
- Department of Fangcun Sleep-Disorder, the Second Clinical College of Guangzhou University of Chinese Medicine (Guangdong Provincial Hopsital of Chinese Medicine), Guangzhou, 510120, China
| | - Runru Mai
- Department of Fangcun Sleep-Disorder, the Second Clinical College of Guangzhou University of Chinese Medicine (Guangdong Provincial Hopsital of Chinese Medicine), Guangzhou, 510120, China
| | - Hailong Liang
- Department of Fangcun Sleep-Disorder, the Second Clinical College of Guangzhou University of Chinese Medicine (Guangdong Provincial Hopsital of Chinese Medicine), Guangzhou, 510120, China
| | - Jiayu Huang
- Department of Fangcun Sleep-Disorder, the Second Clinical College of Guangzhou University of Chinese Medicine (Guangdong Provincial Hopsital of Chinese Medicine), Guangzhou, 510120, China
| | - Zhimin Yang
- Department of Fangcun Sleep-Disorder, the Second Clinical College of Guangzhou University of Chinese Medicine (Guangdong Provincial Hopsital of Chinese Medicine), Guangzhou, 510120, China
| |
Collapse
|
5
|
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.
Collapse
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
| |
Collapse
|
6
|
Fujita A, Esaki Y, Obayashi K, Saeki K, Fujita K, Iwata N, Kitajima T. Comparison of objective and subjective sleep parameters in patients with bipolar disorder in both euthymic and residual symptomatic periods. J Psychiatr Res 2021; 145:190-196. [PMID: 34929468 DOI: 10.1016/j.jpsychires.2021.12.015] [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: 08/16/2021] [Revised: 11/24/2021] [Accepted: 12/10/2021] [Indexed: 11/20/2022]
Abstract
BACKGROUND Sleep disturbance is a core feature of bipolar disorder; hence, sleep must be accurately assessed in patients with bipolar disorder. Subjective sleep assessment tools such as sleep diary and questionnaires are often used clinically for assessing sleep in these patients. However, the insight into whether these tools are as accurate as objective tools, such as actigraphy, remains controversial. METHODS This cross-sectional study included 164 outpatients with a diagnosis of bipolar disorder, including patients who had euthymic and residual symptomatic periods. Objective sleep assessment was conducted prospectively using actigraphy for 7 consecutive days, whereas subjective sleep assessment was conducted prospectively using a sleep diary. RESULTS The correlations were high and moderate between sleep diary and actigraphy when assessing the total sleep time and sleep onset latency, respectively (r = 0.81 and 0.47). These correlations remained significant after correction for multiple testing (both p < 0.001) and in both euthymic and residual symptomatic states (total sleep time: r = 0.86 and 0.77; sleep onset latency: r = 0.51 and 0.40, respectively). The median (interquartile ranges) of the percentage difference (sleep diary parameters minus actigraphy parameters divided by actigraphy parameter) in the total sleep time was relatively small (6.2% [-0.2% to 13.6%]). CONCLUSIONS Total sleep time assessment using a sleep diary could be clinically useful in the absence of actigraphy or polysomnography.
Collapse
Affiliation(s)
- Akari Fujita
- Department of Psychiatry, Fujita Health University School of Medicine, Aichi, Japan; Department of Psychiatry, Okehazama Hospital, Aichi, Japan
| | - Yuichi Esaki
- Department of Psychiatry, Fujita Health University School of Medicine, Aichi, Japan; Department of Psychiatry, Okehazama Hospital, 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
| |
Collapse
|
7
|
Kallestad H, Scott J. Time to put a spotlight on out-patient chronotherapy for depression. BJPsych Open 2021; 7:e219. [PMID: 34814971 PMCID: PMC8693906 DOI: 10.1192/bjo.2021.1056] [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: 10/14/2021] [Revised: 10/20/2021] [Accepted: 10/24/2021] [Indexed: 11/24/2022] Open
Abstract
The challenge of identifying efficacious out-patient treatments for depression is amplified by the increasing desire to find interventions that reduce the time to sustained improvement. One potential but underexplored option is triple chronotherapy (TCT). To date, use of TCT has been largely restricted to specialist units or in-patients. Recent research demonstrates that it may be possible to undertake sleep deprivation in out-patient settings, raising the possibility of delivering TCT to broader populations of individuals with depression. Emerging evidence suggests that out-patient TCT is a high-benefit, low-risk intervention but questions remain about how to target TCT and its mechanisms of action. Like traditional antidepressants, TCT probably acts through several pathways, especially the synchronisation of the 'master clock'. Availability of reliable and valid methods of out-patient measurement of intra-individual circadian rhythmicity and light exposure are rate-limiting steps in the wider dissemination of TCT.
Collapse
Affiliation(s)
- Havard Kallestad
- Division of Mental Health Care, St Olavs University Hospital, Trondheim, Norway; and Division of Mental Health Care, Department of Research and Development, Norwegian University of Science and Technology, Trondheim, Norway
| | - Jan Scott
- Department of Academic Psychiatry, Newcastle University, UK; and Division of Mental Health Care, Department of Research and Development, Norwegian University of Science and Technology, Trondheim, Norway
| |
Collapse
|
8
|
Etain B, Krane-Gartiser K, Hennion V, Meyrel M, Scott J. Do self-ratings of the Pittsburgh Sleep Quality Index reflect actigraphy recordings of sleep quality or variability? An exploratory study of bipolar disorders versus healthy controls. J Sleep Res 2021; 31:e13507. [PMID: 34664340 DOI: 10.1111/jsr.13507] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Revised: 10/06/2021] [Accepted: 10/07/2021] [Indexed: 10/20/2022]
Abstract
Sleep disturbances are typical symptoms of acute episodes of bipolar disorder (BD) and differentiate euthymic BD cases from healthy controls (HC). Researchers often employ objective recordings to evaluate sleep patterns, such as actigraphy, whilst clinicians often use subjective ratings, such as the Pittsburgh Sleep Quality Index (PSQI). As evidence suggests the measures may disagree, we decided to compare subjective (PSQI) and objective (3 weeks of actigraphy) sleep profiles in BD cases and HC (n = 154). We examined whether a dimensional approach helps to illustrate different patterns of sleep disturbances and whether the concordance between subjective and objective recordings varies according to clinical status (BD versus HC). Principal component analysis (PCA) extracted two factors from the PSQI, and separate PCAs of actigraphy recordings extracted two factors for mean values of sleep parameters and one factor for intra-individual variability. Correlational and linear regression analyses of PCA-derived dimensions demonstrated that, in both BD and HC, a PSQI "Sleep duration-efficiency" factor was significantly correlated with an actigraphy "Sleep initiation-duration" factor. Furthermore, in BD cases only, the PSQI total score and a PSQI "Sleep Impairments" factor were each significantly correlated with an actigraphy "Sleep Variability" factor. Overall, we found that subjective experiences of sleep may be modulated by different components of objectively recorded sleep in BD compared with HC. Also, the use of PCA enabled us to consider the multi-dimensional nature of subjective sleep, whilst the inclusion of intra-individual sleep variability afforded a more subtle evaluation of objective sleep.
Collapse
Affiliation(s)
- Bruno Etain
- Université de Paris, Paris, France.,Département de Psychiatrie et de Médecine Addictologique, AP-HP Nord, DMU Neurosciences, Groupe Hospitalier Saint-Louis-Lariboisière-Fernand Widal, Paris, France.,INSERM, UMR-S 1144, Optimisation Thérapeutique en Neuropsychopharmacologie, Université Paris de Paris, Paris, France
| | - Karoline Krane-Gartiser
- Department of Mental Health, NTNU, Norwegian University of Science and Technology, Trondheim, Norway.,Department of Child and Adolescent Psychiatry, St Olavs hospital, Trondheim, Norway
| | - Vincent Hennion
- Université de Paris, Paris, France.,Département de Psychiatrie et de Médecine Addictologique, AP-HP Nord, DMU Neurosciences, Groupe Hospitalier Saint-Louis-Lariboisière-Fernand Widal, Paris, France
| | - Manon Meyrel
- Université de Paris, Paris, France.,Département de Psychiatrie et de Médecine Addictologique, AP-HP Nord, DMU Neurosciences, Groupe Hospitalier Saint-Louis-Lariboisière-Fernand Widal, Paris, France
| | - Jan Scott
- Université de Paris, Paris, France.,Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK
| |
Collapse
|
9
|
Martin VP, Rouas JL, Micoulaud-Franchi JA, Philip P, Krajewski J. How to Design a Relevant Corpus for Sleepiness Detection Through Voice? Front Digit Health 2021; 3:686068. [PMID: 34713156 PMCID: PMC8521834 DOI: 10.3389/fdgth.2021.686068] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Accepted: 08/19/2021] [Indexed: 12/27/2022] Open
Abstract
This article presents research on the detection of pathologies affecting speech through automatic analysis. Voice processing has indeed been used for evaluating several diseases such as Parkinson, Alzheimer, or depression. If some studies present results that seem sufficient for clinical applications, this is not the case for the detection of sleepiness. Even two international challenges and the recent advent of deep learning techniques have still not managed to change this situation. This article explores the hypothesis that the observed average performances of automatic processing find their cause in the design of the corpora. To this aim, we first discuss and refine the concept of sleepiness related to the ground-truth labels. Second, we present an in-depth study of four corpora, bringing to light the methodological choices that have been made and the underlying biases they may have induced. Finally, in light of this information, we propose guidelines for the design of new corpora.
Collapse
Affiliation(s)
- Vincent P. Martin
- Laboratoire Bordelais de Recherche en Informatique, University of Bordeaux, CNRS–UMR 5800, Bordeaux INP, Talence, France
| | - Jean-Luc Rouas
- Laboratoire Bordelais de Recherche en Informatique, University of Bordeaux, CNRS–UMR 5800, Bordeaux INP, Talence, France
| | | | - Pierre Philip
- Sommeil, Addiction et Neuropsychiatrie, University of Bordeaux, CNRS–USR 3413, CHU Pellegrin, Bordeaux, France
| | - Jarek Krajewski
- Engineering Psychology, Rhenish University of Applied Science, Cologne, Germany
| |
Collapse
|