Multiscale characterization of chronobiological signals based on the discrete wavelet transform

To compensate for the deficiency of conventional frequency-domain or time-domain analysis, this paper presents a multiscale approach to characterize the chronobiological time series (CTS) based on a discrete wavelet transform (DWT). We have shown that the local modulus maxima and zero-crossings of the wavelet coefficients at different scales give a complete characterization of rhythmic activities. We further constructed a tree scheme to represent those interacting activities across scales. Using the bandpass filter property of the DWT in the frequency domain, we also characterized the band-related activities by calculating energy in respective rhythmic bands. Moreover, since there is a fast and easily implemented algorithm for the DWT, this new approach may simplify the signal processing and provide a more efficient and complete study of the temporal-frequency dynamics of the CTS. Preliminary results are presented using the proposed method on the locomotion of mice under altered lighting conditions, verifying its competency for CTS analysis. | To compensate for the deficiency of conventional frequency-domain or time-domain analysis, this paper presents a multiscale approach to characterize the chronobiological time series (CTS) based on a discrete wavelet transform (DWT). We have shown that the local modulus maxima and zero-crossings of the wavelet coefficients at different scales give a complete characterization of rhythmic activities. We further constructed a tree scheme to represent those interacting activities across scales. Using the bandpass filter property of the DWT in the frequency domain, we also characterized the band-related activities by calculating energy in respective rhythmic bands. Moreover, since there is a fast and easily implemented algorithm for the DWT, this next approach may simplify the signal processing and provide a more efficient and complete study of the temporal-frequency dynamics of the CTS. Preliminary results are presented using the proposed method on the locomotion of mice under altered lighting conditions, verifying its competency for CTS analysis.published_or_final_versio

Multiscale analysis of activity rhythms of animals

In this paper we propose a multiscale approach to analyze locomotion activity rhythms of animals. The Wavelet Transform (WT) is used to decompose the locomotion signal into different scales. An activity-section segmentation procedure is introduced to segment different scale activity sections following a strategy of from large scale to small scale with the results arranged in a tree description. Furthermore, each activity segment can be characterized by several parameters. Initial study results on mice are presented.published_or_final_versio

A PC-based system for long-term monitoring of animal activity

This paper describes a PC-based animal locomotor and sound activities synchronous analysis and recording system. In the former, using video recording and image analysis techniques, the geometric locations of an animal in a cage and its bodily displacement areas between consecutive time in two-dimensions were detected. Tremendous data reduction rate has also been obtained (512×512:4), which facilitates our PC computer (Pentium 100) to perform a long-term (up to several weeks according to the space of hard disk) and on-line (1 sec) analysis and storage of the animal locomotor signals. In the latter, the sounds generated by the animal were recorded at the cage over a consecutive 1-sec time and its root mean square (RMS) value was used to index the sound level. Our preliminary study showed that such a combination of monitoring and recording system gives a faithful and comprehensive representation of animal activity.published_or_final_versio

Characterization of the chronobiological signals based on the continuous wavelet transform

Chronobiology, which studies periodic patterns or rhythms of the living beings, often needs to characterize the observed chronobiological time series (CTS) and to study the stability and adaptability of the periodic patterns in different environmental conditions. Fourier transform (FT) based methods and complex demodulation (CD) approach have been widely used in such study. However, the former lacks temporal resolution and the later needs to extract the temporal behaviors of individual frequencies. In this paper, we proposed a new approach to characterize the CTS based on the continuous wavelet transform (CWT). It allows us to investigate the time-frequency dynamics of different rhythmic-band activities in the CTS simultaneously. Two application results have been presented to illustrate the proposed method.published_or_final_versio

Screening and assessment tools for gaming disorder: A comprehensive systematic review

The inclusion of gaming disorder (GD) as an official diagnosis in the ICD-11 was a significant milestone for the field. However, the optimal measurement approaches for GD are currently unclear. This comprehensive systematic review aimed to identify and evaluate all available English-language GD tools and their corresponding evidence. A search of PsychINFO, PsychArticles, ScienceDirect, Scopus, Web of Science, and Google Scholar identified 32 tools employed in 320 studies (N = 462,249 participants). The evaluation framework examined tools in relation to: (1) conceptual and practical considerations; (2) alignment with DSM-5 and ICD-11 criteria; (3) type and quantity of studies and samples; and (4) psychometric properties. The evaluation showed that GD instrumentation has proliferated, with 2.5 tools, on average, published annually since 2013. Coverage of DSM-5 and ICD-11 criteria was inconsistent, especially for the criterion of continued use despite harm. Tools converge on the importance of screening for impaired control over gaming and functional impairment. Overall, no single tool was found to be clearly superior, but the AICA-Sgaming, GAS-7, IGDT-10, IGDS9-SF, and Lemmens IGD-9 scales had greater evidential support for their psychometric properties. The GD field would benefit from a standard international tool to identify gaming-related harms across the spectrum of maladaptive gaming behaviors.Peer reviewedFinal Accepted Versio

Treatment of Internet gaming disorder: an international systematic review and CONSORT evaluation

Treatment services for Internet gaming disorder are becoming increasingly prevalent worldwide, particularly in East Asia. This international systematic review was designed to appraise the quality standards of the gaming disorder treatment literature, a task previously undertaken by King et al. (2011) prior to the inclusion of Internet gaming disorder in Section III of the DSM-5 and ‘Gaming disorder’ in the draft ICD-11. The reporting quality of 30 treatment studies conducted from 2007 to 2016 was assessed. Reporting quality was defined according to the 2010 Consolidating Standards of Reporting Trials (CONSORT) statement. The results reaffirmed previous criticisms of these trials, namely: (a) inconsistencies in the definition, diagnosis, and measurement of disordered use; (b) lack of randomization and blinding; (c) lack of controls; and (d) insufficient information on recruitment dates, sample characteristics, and effect sizes. Although cognitive-behavioral therapy has a larger evidence base than other therapies, it remains difficult to make definitive statements on its benefits. Study design quality has not improved over the last decade, indicating a need for greater consistency and standardization in this area. Continuing international efforts to understand the core psychopathology of gaming disorder are vital to developing a model of best practice in treatment

Item response theory analysis of the recoded Internet Gaming Disorder Scale-Short-Form (IGDS9-SF)

Based on the nine criteria for Internet gaming disorder (IGD) in DSM-5, the Internet Gaming Disorder Scale 9-Short Form (IGDS9-SF; Pontes and Griffiths 2015) is the most widely used questionnaire for assessing IGD. The present study examined support for the unidimensional factor structure of the instrument, with a group of 868 adolescent and adult gamers from the USA, with criteria recoded as present or absent. The two-parameter logistic model (2PLM) was used to examine the item response theory properties of the criteria included in the measure. Confirmatory factor analysis supported the one-factor model. The 2PLM analysis indicated that all the criteria were strong discriminators of high and low latent IGD. Furthermore, the items measured more of the GAD dimension and with more precision from around +2 SD from the mean trait level. The implications of the findings for interpreting the IGDS9-SF scores for clinical practice are discussed

Interference of functional dual-tasks on gait in untrained people with Parkinson's disease and healthy controls: a cross-sectional study

[EN] Background In Parkinson's disease (PD) population, performing secondary tasks while walking further deteriorates gait and restrict mobility in functional contexts of daily life. This study (1) analyzed the interference of functional cognitive and motor secondary task on untrained people with PD and (2) compared their walking with healthy subjects. Methods Forty people with PD (aged 66.72 [7.5] years, Hoehn and Yahr stage I-II-III, on-medication) composed the PD group (PDG) and 43 participants (aged 66.60 [8.75] years) formed the group of healthy counterparts (HG). Gait was evaluated through spatiotemporal, kinematic and kinetic outcomes in five conditions: single task (ST) and visual, verbal, auditory and motor dual-task (DT). Results The velocity, stride length, and braking force performance of both groups was statistically higher in the ST condition than in verbal, auditory and motor DT (p.05). Conclusions: In untrained participants with PD, verbal and motor secondary tasks affect gait significantly, while auditory and visual tasks interfere to a lesser extent. Untrained people with PD have a poorer gait performance than their healthy counterparts, but in different grades according to the analyzed variables. Trial registration The data in this paper are part of a single-blind, randomized, controlled trial and correspond to the evaluations performed before a physical rehabilitation program, retrospectively registered with the number at clinicaltrial.govNCT04038866.San Martín Valenzuela, C.; Dueñas Moscardó, L.; Lopez Pascual, J.; Serra-Añó, P.; Tomás, JM. (2020). Interference of functional dual-tasks on gait in untrained people with Parkinson's disease and healthy controls: a cross-sectional study. BMC Musculoskeletal Disorders. 21(1):1-11. https://doi.org/10.1186/s12891-020-03431-xS111211Jankovic J. Parkinson’s disease: clinical features and diagnosis. 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How has internet addiction research evolved since the advent of internet gaming disorder? An overview of cyberaddictions from a psychological perspective

During the past two decades, Internet addiction (IA) has been the most commonly used term in research into online activities and their influence on the development of behavioral addictions. The aim of this review is to assess the impact of the concept of Internet gaming disorder (IGD), proposed by the American Psychiatric Association, on the scientific literature regarding IA. It presents a bibliometric analysis of the IA literature starting from the time IGD was first proposed, with the objective of observing and comparing the topics that have arisen during this period among the different IA themes researched. The findings demonstrate a steady evolution, particularly regarding publications related to the general aspects of IA: its clinical component, its prevalence and psychometric measures, the growing interest in the contextual factors promoting this addictive behavior, scientific progress in its conceptualization based on existing theoretical models, and neuropsychological studies. Nevertheless, many of the studies (22 %) focus on specific IA behaviors and show heterogeneity among the cyberaddictions, with online gaming (related to IGD) most common, followed by cybersex and social networking. Although research on the general concept of IA continues, investigators have begun to pay attention to the diverse spectrum of specific cyberaddictions and their psychological components