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Benicio N Frey - One of the best experts on this subject based on the ideXlab platform.

  • sleep Biological Rhythms and anxiety in the perinatal period a systematic review protocol
    BMJ Open, 2021
    Co-Authors: Jasmyn E A Cunningham, Benicio N Frey, Aljeena R Qureshi, Sheryl M Green, Anastasiya Slyepchenko
    Abstract:

    Introduction Pregnancy and new parenthood is an exciting time, but also a stressful life event that can predispose to mental health challenges. Perinatal anxiety is one such challenge, and is an important contributor to parental distress and other negative outcomes. Sleep and Biological Rhythms are often disrupted in the perinatal period. These disruptions have been associated with postpartum depression, and in some cases with perinatal anxiety. However, the literature concerning the association with perinatal anxiety is inconsistent and may be methodologically limited. To our knowledge, there has been no comprehensive review published characterising the relationships between sleep, Biological Rhythms, and perinatal anxiety and related disorders to date. In this systematic review, we will summarise the current state of the literature concerning these relationships, allowing us to highlight gaps and potentially inform clinical understanding of perinatal anxiety, sleep and Biological Rhythms. Methods and analysis Primary research articles will be eligible for inclusion if they assess perinatal anxiety or related disorders using validated criteria (self-report or diagnostic), assess sleep and Biological Rhythms in the perinatal period, include >4 participants and meet other inclusion/exclusion criteria. We will conduct comprehensive searches of MEDLINE, PsycINFO, Embase and CINAHL, with coverage spanning from database conception to search date (August 1, 2021). Key search concepts include (1) the perinatal period, (2) sleep/Biological Rhythms and (3) anxiety. Risk of bias will be evaluated using the Cochrane Risk of Bias Tool. Data will be narratively synthesised, with quantitative synthesis included if possible. When relevant, strength of evidence will be assessed using Grading of Recommendations Assessment, Development and Evaluation criteria, and potential publication bias will be assessed. Ethics and dissemination Research ethics approval is not required. Study results will be reported according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Results will be disseminated to relevant stakeholders as conference presentation(s) and submitted for publication in a peer-reviewed journal. PROSPERO registration number 200166.

  • performance of the Biological Rhythms interview for assessment in neuropsychiatry an item response theory and actigraphy analysis
    Journal of Affective Disorders, 2018
    Co-Authors: Olivia R Allega, Maria Paz Loayza Hidalgo, Benicio N Frey, Xiamin Leng, Matthew Skelly, Claudio N Soares, Sidney H Kennedy, Anthony L Vaccarino, Mariana Lanzini
    Abstract:

    Abstract Background Biological rhythm disturbances are widely associated with the pathophysiology of mood disorders. The Biological Rhythms Interview for Assessment in Neuropsychiatry (BRIAN) is a self-report that indexes rhythm disturbance in sleep, activity, social and eating patterns. The aim of this study was to perform an Item Response Theory (IRT) analysis of the BRIAN and investigate its associations with objective sleep and rhythm disturbance measures. Methods 103 subjects (31 bipolar, 32 major depression and 40 healthy volunteers) wore an actiwatch for fifteen days, and completed a first morning urine sample and the BRIAN on day 15. IRT analysis assessed individual BRIAN items and their relationship to total score. Individual actiwatch records were processed to produce a sequence of transitions between rest/activity, and a likelihood of transitioning between states was calculated to investigate sleep-wake dynamics. Cosinor analysis produced daily activity Rhythms (DARs). Spearman correlations were used to assess the association between sleep/DAR variables and the BRIAN. Results IRT analyses showed that 11 of 18 BRIAN items displayed a high level of discrimination between item options across a range of BRIAN total scores. Total BRIAN score correlated with wake after sleep onset, total activity count during sleep, and urinary 6-sulphatoxymelatonin. BRIAN Activity domain correlated with the daytime transition probability from rest to activity. Limitations The sample size may have been underpowered for the graded-response model employed in IRT. The study lacked an objective comparison for BRIAN eating and social domain. Conclusion The present study reveals the BRIAN displays promising external validity compared to objective parameters of circadian rhythmicity.

  • Biological Rhythms metabolic syndrome and current depressive episode in a community sample
    Psychoneuroendocrinology, 2016
    Co-Authors: Fernanda Pedrotti Moreira, Flávio Kapczinski, Karen Jansen, Taiane De Azevedo Cardoso, Thaíse Campos Mondin, Luciano Dias De Mattos Souza, Pedro Vieira Da Silva Magalhães, Benicio N Frey, Jean Pierre Oses, Ricardo Azevedo Da Silva
    Abstract:

    The purpose of this study was to assess the disruption in Biological Rhythms and metabolic syndrome (MetS) in individuals with depressive episode. This was a cross-sectional, population-based study with a representative sample of 905 young adults. Current depressive episode were confirmed by a psychologist using the Mini International Neuropsychiatric Interview (MINI)-Plus. Self-reported Biological Rhythms were assessed using the Biological Rhythms Interview of Assessment in Neuropsychiatry (BRIAN). MetS was defined using modified NCEP/ATPIII criteria. Significant main effects of current depressive episode (p<0.001, η(2)=0.163) and MetS (p=0.001, η(2)=0.011) were observed on total BRIAN score. There was a significant interaction between depression and MetS in total Biological rhythm scores (p=0.002, η(2)=0.011) as well as sleep (p=0.001, η(2)=0.016) and social domains (p<0.001, η(2)=0.014). In the depressive group, subjects with MetS had a higher disruption in total BRIAN scores (p=0.010), sleep domain (p=0.004), social domain (p=0.005) and in the eating pattern domain approached the level of significance (p=0.098), when compared to subjects with no MetS. The results of the present study showed that self-reported disruptions in Biological Rhythms are associated with key components of the MetS in community adults with MDD. The understanding of the complex interactions between Biological Rhythms, MetS and depression are important in the development of preventive and therapeutic strategies.

  • Biological Rhythms are independently associated with quality of life in bipolar disorder
    International Journal of Bipolar Disorders, 2016
    Co-Authors: Lauren E Cudney, Roberto B Sassi, Benicio N Frey, Luciano Minuzzi, David L Streiner
    Abstract:

    Evidence suggests that patients with bipolar disorder (BD) experience Biological rhythm disturbances; however, no studies have examined the impact of this disruption on quality of life (QOL). The aim of this study is to investigate the influence of Biological rhythm, depressive symptoms, sleep quality, and sleep medication use on QOL in BD. Eighty BD subjects (44 depressed and 36 euthymic) completed questionnaires assessing QOL (WHOQOL-BREF), Biological rhythm disruption (BRIAN), depressive symptoms (MADRS), and sleep quality (PSQI). The impact of Biological rhythm disturbance, depressive symptoms severity, sleep quality, and sleep medication use on QOL was determined with multiple regression analyses. BRIAN (β = −0.31, t = −2.73, p < 0.01), MADRS (β = −0.30, t = −2.93, p < 0.01), and sleep medication use (β = −0.45, t = −2.55, p < 0.05) were significant predictors of QOL in this model (F 4, 75 = 20.28; p < 0.0001). The relationship of these factors with subdomains of QOL showed that poorer social QOL was associated with greater Biological rhythm disturbance (β = −0.43, t = −3.66, p < 0.01) and sleep medication use (β = −0.49, t = −2.35, p < 0.01), providing support for the social rhythm theory of BD. Physical QOL was associated with depression (β = −0.30, t = −2.93, p < 0.01) and Biological rhythm disruption (β = −0.31, t = −2.73, p < 0.01). Main limitations include the cross-sectional assessment and the lack of objective measures of Biological Rhythms in relation to QOL. Disruption in Biological rhythm is associated with poor QOL in BD, independent of sleep disturbance, sleep medication use, and severity of depression. Treatment strategies targeting regulation of Biological Rhythms, such as sleep/wake cycles, eating patterns, activities, and social Rhythms, are likely to improve QOL in this population.

  • do changes in subjective sleep and Biological Rhythms predict worsening in postpartum depressive symptoms a prospective study across the perinatal period
    Archives of Womens Mental Health, 2016
    Co-Authors: Maria Paz Loayza Hidalgo, Benicio N Frey, Elizabeth M Krawczak, Luciano Minuzzi
    Abstract:

    Abnormalities of sleep and Biological Rhythms have been widely implicated in the pathophysiology of major depressive disorder (MDD) and bipolar disorder (BD). However, less is known about the influence of Biological rhythm disruptions across the perinatal period on postpartum depression (PPD). The objective of this study was to prospectively evaluate the relationship between subjective changes in both sleep and Biological Rhythms and worsening of depressive symptoms from pregnancy to the postpartum period in women with and without mood disorders. Eighty-three participants (38 euthymic women with a history of a mood disorder and 45 healthy controls) were studied. Participants completed subjective assessments of sleep (Pittsburgh Sleep Quality Index), Biological rhythm disturbances (Biological Rhythms Interview of Assessment in Neuropsychiatry), and depressive symptoms (Edinburgh Postnatal Depression Scale) prospectively at two time points: third trimester of pregnancy and at 6–12 weeks postpartum. Multivariate regression analyses showed that changes in Biological Rhythms across the perinatal period predicted worsening of depressive symptoms in both groups. Moreover, women with a history of a mood disorder showed higher levels of sleep and Biological rhythm disruption during both pregnancy and the postpartum period. These findings suggest that disruptions in Biological Rhythms during the perinatal period increase the risk for postpartum mood worsening in healthy pregnant as well as in pregnant women with a history of mood disorders.

Fred W. Turek - One of the best experts on this subject based on the ideXlab platform.

  • Resource competition shapes Biological Rhythms and promotes temporal niche differentiation in a community simulation
    Ecology and Evolution, 2020
    Co-Authors: Vance Gao, Sara Morley‐fletcher, Stefania Maccari, Martha Hotz Vitaterna, Fred W. Turek
    Abstract:

    1. Competition for resources often contributes strongly to defining an organism's ecological niche. Endogenous Biological Rhythms are important adaptations to the temporal dimension of niches, but how other organisms influence such temporal niches has not been much studied, and the role of competition in particular has been even less examined. We investigated how interspecific competition and intraspecific competition for resources shape an organism's activity Rhythms. 2. To do this, we simulated communities of one or two species in an agent‐based model. Individuals in the simulation move according to a circadian activity rhythm and compete for limited resources. Probability of reproduction is proportional to an individual's success in obtaining resources. Offspring may have variance in rhythm parameters, which allow for the population to evolve over time. 3. We demonstrate that when organisms are arrhythmic, one species will always be competitively excluded from the environment, but the existence of activity Rhythms allows niche differentiation and indefinite coexistence of the two species. Two species which are initially active at the same phase will differentiate their phase angle of entrainment over time to avoid each other. When only one species is present in an environment, competition within the species strongly selects for niche expansion through arrhythmicity, but the addition of an interspecific competitor facilitates evolution of increased rhythmic amplitude when combined with additional adaptations for temporal specialization. Finally, if individuals preferentially mate with others who are active at similar times of day, then disruptive selection by intraspecific competition can split one population into two reproductively isolated groups separated in activity time. 4. These simulations suggest that Biological Rhythms are an effective method to temporally differentiate ecological niches and that competition is an important ecological pressure promoting the evolution of Rhythms and sleep. This is the first study to use ecological modeling to examine Biological Rhythms.

  • resource competition shapes Biological Rhythms and promotes temporal niche differentiation in a community simulation
    bioRxiv, 2020
    Co-Authors: Vance D Gao, Stefania Maccari, Martha Hotz Vitaterna, Sara Morleyfletcher, Fred W. Turek
    Abstract:

    Competition for resources often contributes strongly to defining an organism9s ecological niche. Biological Rhythms are important adaptations to the temporal dimension of niches, but the role of other organisms in determining such temporal niches have not been much studied, and the role specifically of competition even less so. We investigate how interspecific and intraspecific competition for resources shapes an organism9s activity Rhythms. For this, communities of one or two species in an environment with limited resource input were simulated. We demonstrate that when organisms are arrhythmic, one species will always be competitively excluded from the environment, but the existence of activity Rhythms allows niche differentiation and indefinite coexistence of the two species. Two species which are initially active at the same phase will differentiate their phase angle of entrainment over time to avoid each other. When only one species is present in an environment, competition within individuals of the species strongly selects for niche expansion through arrhythmicity, but the addition of an interspecific competitor facilitates evolution of increased rhythmic amplitude when combined with additional adaptations for temporal specialization. Finally, if individuals preferentially mate with others who are active at similar times of day, then disruptive selection by intraspecific competition can split one population into two reproductively isolated groups. In summary, these simulations suggest that Biological Rhythms are an effective method to temporally differentiate ecological niches, and that competition is an important ecological pressure promoting the evolution of Rhythms and sleep.

  • animal care practices in experiments on Biological Rhythms and sleep report of the joint task force of the society for research on Biological Rhythms and the sleep research society
    Journal of The American Association for Laboratory Animal Science, 2013
    Co-Authors: Eric L Bittman, Thomas S Kilduff, Lance J Kriegsfeld, Ronald Szymusiak, Linda A Toth, Fred W. Turek
    Abstract:

    Many physiological and molecular processes are strongly rhythmic and profoundly influenced by sleep. The continuing effort of Biological, medical, and veterinary science to understand the temporal organization of cellular, physiological, behavioral and cognitive function holds great promise for the improvement of the welfare of animals and human beings. As a result, attending veterinarians and IACUC are often charged with the responsibility of evaluating experiments on such Rhythms or the effects of sleep (or its deprivation) in vertebrate animals. To produce interpretable data, animals used in such research must often be maintained in carefully controlled (often constant) conditions with minimal disruption. The lighting environment must be strictly controlled, frequent changes of cages and bedding are undesirable, and daily visual checks are often not possible. Thus deviations from the standard housing procedures specified in the Guide for the Care and Use of Laboratory Animals are often necessary. This report reviews requirements for experiments on Biological Rhythms and sleep and discusses how scientific considerations can be reconciled with the recommendations of the Guide.

Flávio Kapczinski - One of the best experts on this subject based on the ideXlab platform.

  • validation of the korean version of the Biological Rhythms interview of assessment in neuropsychiatry
    Psychiatry Investigation, 2018
    Co-Authors: Chul Hyun Cho, Adriane R. Rosa, Flávio Kapczinski, Seo Yeon Jung, Heon Jeong Lee
    Abstract:

    OBJECTIVE The Biological Rhythms Interview of Assessment in Neuropsychiatry (BRIAN) is a scale used to clinically evaluate disturbances in Biological rhythm. In this study, we aimed to examine the reliability and validity of the Korean version of the BRIAN (K-BRIAN) in a Korean population. METHODS A total of 181 participants, including 141 outpatients with bipolar disorder (BD; type I, 62; type II, 79) and 40 controls, were recruited. Construct validity was tested by comparing the mean K-BRIAN scores of the BD patients and control subjects. Concurrent validity was tested by evaluating the association between the K-BRIAN and the Morningness-Eveningness Questionnaire (MEQ). RESULTS The mean K-BRIAN scores of the control subjects and patients with BD differed significantly (p<0.001). Particularly, the mean K-BRIAN score was considerably lower among control subjects (mean±standard deviation=35.00±8.88) than among patients with BD type I (41.19±12.10) and type II (50.18±13.73). The Cronbach's alpha for the K-BRIAN was 0.914. The K-BRIAN was found to correlate with the MEQ (r=-0.45, p<0.001). CONCLUSION The findings affirm that the K-BRIAN has good construct validity and internal consistency. This suggests that the K-BRIAN can be used to assess Biological Rhythms in the Korean population, especially for patients with mood disorder.

  • Biological Rhythms metabolic syndrome and current depressive episode in a community sample
    Psychoneuroendocrinology, 2016
    Co-Authors: Fernanda Pedrotti Moreira, Flávio Kapczinski, Karen Jansen, Taiane De Azevedo Cardoso, Thaíse Campos Mondin, Luciano Dias De Mattos Souza, Pedro Vieira Da Silva Magalhães, Benicio N Frey, Jean Pierre Oses, Ricardo Azevedo Da Silva
    Abstract:

    The purpose of this study was to assess the disruption in Biological Rhythms and metabolic syndrome (MetS) in individuals with depressive episode. This was a cross-sectional, population-based study with a representative sample of 905 young adults. Current depressive episode were confirmed by a psychologist using the Mini International Neuropsychiatric Interview (MINI)-Plus. Self-reported Biological Rhythms were assessed using the Biological Rhythms Interview of Assessment in Neuropsychiatry (BRIAN). MetS was defined using modified NCEP/ATPIII criteria. Significant main effects of current depressive episode (p<0.001, η(2)=0.163) and MetS (p=0.001, η(2)=0.011) were observed on total BRIAN score. There was a significant interaction between depression and MetS in total Biological rhythm scores (p=0.002, η(2)=0.011) as well as sleep (p=0.001, η(2)=0.016) and social domains (p<0.001, η(2)=0.014). In the depressive group, subjects with MetS had a higher disruption in total BRIAN scores (p=0.010), sleep domain (p=0.004), social domain (p=0.005) and in the eating pattern domain approached the level of significance (p=0.098), when compared to subjects with no MetS. The results of the present study showed that self-reported disruptions in Biological Rhythms are associated with key components of the MetS in community adults with MDD. The understanding of the complex interactions between Biological Rhythms, MetS and depression are important in the development of preventive and therapeutic strategies.

  • Mood disorders and Biological Rhythms in young adults: A large population-based study.
    Journal of psychiatric research, 2016
    Co-Authors: Thaíse Campos Mondin, Flávio Kapczinski, Karen Jansen, Taiane De Azevedo Cardoso, Luciano Dias De Mattos Souza, Pedro Vieira Da Silva Magalhães, Ricardo Azevedo Da Silva
    Abstract:

    Abstract Background It is known that sleep disturbance has been considered a trait-marker of mood disorders. However, the role of disruptions in Biological Rhythms, such as eating, activity, and social patterns, needs to be better understood. Aim To assess the differences in Biological Rhythms in subjects with bipolar disorder, major depressive disorder, and healthy controls. We also tested the association between disruptions of Biological Rhythms and circadian preferences. Methods A cross-sectional, population-based study with a representative sample of 1023 young adults. Bipolar disorder and depression were diagnosed using The Mini International Neuropsychiatric Interview – PLUS and DSM Structured Clinical Interview. Self-reported Biological Rhythms and circadian preference were assessed using the Biological Rhythm Interview of Assessment in Neuropsychiatry (BRIAN). Results Bipolar disorders and depression subjects presented higher rates of disruption in Biological Rhythms when compared to healthy controls even after adjusting for sex, socioeconomic status, alcohol, tobacco, illicit drug use, anxiety disorder and psychotropic medication use. Euthymic subjects showed higher Biological rhythm disruption when compared to controls. Higher disruption in Biological Rhythms was observed in subjects with evening preferences. Conclusion Higher disruption in Biological Rhythms occurs in individuals with depression and bipolar disorder even on periods of euthymia.

  • the association between Biological Rhythms depression and functioning in bipolar disorder a large multi center study
    Acta Psychiatrica Scandinavica, 2016
    Co-Authors: M Pinho, Manpreet Sehmbi, Lauren E Cudney, Marcia Kauersantanna, P V Magalhaes, Maria Reinares, C M Bonnin, Roberto B Sassi, Flávio Kapczinski
    Abstract:

    Objective We examined the relationship between Biological Rhythms and severity of depressive symptoms in subjects with bipolar disorder and the effects of Biological Rhythms alterations on functional impairment. Method Bipolar patients (n = 260) and healthy controls (n = 191) were recruited from mood disorders programs in three sites (Spain, Brazil, and Canada). Parameters of Biological Rhythms were measured using the Biological Rhythms Assessment in Neuropsychiatry (BRIAN), an interviewer administered questionnaire that assesses disruptions in sleep, eating patterns, social Rhythms, and general activity. Results Multivariate analyses of covariance showed significant intergroup differences after controlling for potential confounders (Pillai's F = 49.367; df = 2, P < 0.001). Depressed patients had the greatest Biological Rhythms disturbance, followed by patients with subsyndromal symptoms, euthymic patients, and healthy controls. Biological Rhythms and HAMD scores were independent predictors of poor functioning (F = 12.841, df = 6, P < 0.001, R2 = 0.443). Conclusion Our study shows a dose-dependent association between the severity of depressive symptoms and degree of Biological Rhythms disturbance. Biological Rhythms disturbance was also an independent predictor of functional impairment. Although the directionality of this relationship remains unknown, our results suggest that stability of Biological Rhythms should be an important target of acute and long-term management of bipolar disorder and may aid in the improvement of functioning.

  • Biological Rhythms in bipolar and depressive disorders: A community study with drug-naïve young adults.
    Journal of affective disorders, 2015
    Co-Authors: Augusto Duarte Faria, Flávio Kapczinski, Taiane De Azevedo Cardoso, Thaíse Campos Mondin, Ricardo Azevedo Da Silva, Luciano Dias De Mattos Souza, Cristian Patrick Zeni, Pedro Vieira Da Silva Magalhães, Karen Jansen
    Abstract:

    Abstract Aim To assess Biological rhythm disruptions among drug-naive young adults with bipolar disorder (BD), major depressive disorder (MDD), and community controls. Methods This was a cross-sectional study nested in a population-based study. BD and MDD were diagnosed using the Structured Clinical Interview for DSM-IV. Biological rhythm disruptions were assessed using the Biological Rhythm Interview of Assessment in Neuropsychiatry (BRIAN). Results Two hundred seventeen subjects were assessed (49 BD, 74 MDD, and 94 community controls). Biological rhythm disruption was higher in subjects with BD (40.32±9.92; p p p =0.028) and higher disruption in sleep/social domains ( p =0.018) as compared to MDD. In addition, the BRIAN scores were higher in current MDD, euthymic BD, and BD in current episode group, as compared to community controls. Limitation Cross-sectional design. Absence of assessment of biomarkers of Biological Rhythms. Conclusion Bipolar disorder and major depressive disorder are associated with disruption in Biological rhythm. In addition, disruption in sleep/social Rhythms is higher in subjects with BD when compared to subjects with MDD. We also verified Biological rhythm disruption in subjects with BD during euthymic status, but not in remitted MDD. Regulation of Biological rhythm may be a means to identify patients with mood disorders and potentially differentiate MDD from BD.

Jacob J Hughey - One of the best experts on this subject based on the ideXlab platform.

  • the risks of using the chi square periodogram to estimate the period of Biological Rhythms
    PLOS Computational Biology, 2021
    Co-Authors: Michael C Tackenberg, Jacob J Hughey
    Abstract:

    The chi-square periodogram (CSP), developed over 40 years ago, continues to be one of the most popular methods to estimate the period of circadian (circa 24-h) Rhythms. Previous work has indicated the CSP is sometimes less accurate than other methods, but understanding of why and under what conditions remains incomplete. Using simulated rhythmic time-courses, we found that the CSP is prone to underestimating the period in a manner that depends on the true period and the length of the time-course. This underestimation bias is most severe in short time-courses (e.g., 3 days), but is also visible in longer simulated time-courses (e.g., 12 days) and in experimental time-courses of mouse wheel-running and ex vivo bioluminescence. We traced the source of the bias to discontinuities in the periodogram that are related to the number of time-points the CSP uses to calculate the observed variance for a given test period. By revising the calculation to avoid discontinuities, we developed a new version, the greedy CSP, that shows reduced bias and improved accuracy. Nonetheless, even the greedy CSP tended to be less accurate on our simulated time-courses than an alternative method, namely the Lomb-Scargle periodogram. Thus, although our study describes a major improvement to a classic method, it also suggests that users should generally avoid the CSP when estimating the period of Biological Rhythms.

  • the risks of using the chi square periodogram to estimate the period of Biological Rhythms
    bioRxiv, 2020
    Co-Authors: Michael C Tackenberg, Jacob J Hughey
    Abstract:

    The chi-square periodogram (CSP), developed over 40 years ago, continues to be one of the most popular methods to estimate the period of circadian (circa 24-h) Rhythms. Previous work has indicated the CSP is sometimes less accurate than other methods, but understanding of why and under what conditions remains incomplete. Using simulated rhythmic time-courses, we found that the CSP is prone to underestimating the period in a manner that depends on the true period and the length of the time-course. This underestimation bias is most severe in short time-courses (e.g., 3 days), but is also visible in longer simulated time-courses (e.g., 12 days) and in experimental time-courses of mouse wheel-running. The bias is caused by discontinuities in the periodogram that are related to the number of time-points the CSP uses to calculate the observed variance for a given test period. By revising the calculation to avoid discontinuities, we developed a new version, the greedy CSP, that shows reduced bias and improved accuracy. Nonetheless, even the greedy CSP tended to be less accurate on our simulated time-courses than an alternative method, namely the Lomb-Scargle periodogram. Thus, although our study describes a major improvement to a classic method, it also suggests that users should generally avoid the CSP when estimating the period of Biological Rhythms.

Elizabeth B Klerman - One of the best experts on this subject based on the ideXlab platform.

  • statistics for sleep and Biological Rhythms research longitudinal analysis of Biological Rhythms data
    Journal of Biological Rhythms, 2017
    Co-Authors: Elizabeth B Klerman, Wei Wang, Andrew J K Phillips, Matt T Bianchi
    Abstract:

    This article is part of a Journal of Biological Rhythms series exploring analysis and statistical topics relevant to researchers in Biological Rhythms and sleep research. The goal is to provide an ...

  • statistics for sleep and Biological Rhythms research
    Journal of Biological Rhythms, 2017
    Co-Authors: Matt T Bianchi, Elizabeth B Klerman, Wei Wang, Andrew J K Phillips
    Abstract:

    The Journal of Biological Rhythms will be publishing articles exploring analysis and statistical topics relevant to researchers in Biological Rhythms and sleep research. The goal is to provide an overview of the most common issues that arise in the analysis and interpretation of data in these fields. By using case examples and highlighting the pearls and pitfalls of statistical inference, the authors will identify and explain ways in which experimental scientists can avoid common analytical and statistical mistakes and use appropriate analytical and statistical methods in their research. In this first article, we address the first steps in analysis of data: understanding the underlying statistical distribution of the data and establishing associative versus causal relationships. These ideas are then applied to sample size, power calculations, correlation testing, differences between description and prediction, and the narrative fallacy.