Neuronal Mechanisms for Sleep/Wake Regulation and Modulatory Drive

Neuropsychopharmacology, Journal Year: 2017, Volume and Issue: 43(5), P. 937 - 952

Published: Dec. 5, 2017

Language: Английский

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Two sides of a coin: ecological and chronobiological perspectives of timing in the wild

Philosophical Transactions of the Royal Society B Biological Sciences, Journal Year: 2017, Volume and Issue: 372(1734), P. 20160246 - 20160246

Published: Oct. 9, 2017

Most processes within organisms, and most interactions between organisms their environment, have distinct time profiles. The temporal coordination of such is crucial across levels biological organization, but disciplines differ widely in approaches to study timing. Such differences are accentuated ecologists, who centrally concerned with a holistic view an organism relation its external chronobiologists, emphasize internal timekeeping the mechanisms adjustment environment. We argue that ecological chronobiological perspectives complementary, studies at intersection will enable both fields jointly overcome obstacles currently hinder progress. However, achieve this integration, we first cross some conceptual barriers, clarifying prohibitively inaccessible terminologies. critically assess main assumptions concepts either field, as well common interests. Both intersect need understand extent regulation plasticity, concept 'chronotype', i.e. characteristic properties individuals which targets natural sexual selection. then highlight promising developments, point out open questions, acknowledge difficulties propose directions for further integration through Wild Clock research.This article part themed issue 'Wild Clocks: integrating chronobiology ecology free-living animals'.

Language: Английский

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Model and Non-model Insects in Chronobiology

Frontiers in Behavioral Neuroscience, Journal Year: 2020, Volume and Issue: 14

Published: Nov. 26, 2020

The fruit fly Drosophila melanogaster is an established model organism in chronobiology, because genetic manipulation and breeding the laboratory are easy. circadian clock neuroanatomy D. one of best-known networks insects basic behavior has been characterized detail this insect. Another chronobiology honey bee Apis mellifera , which diurnal foraging described already early twentieth century. A. hallmarks research on interplay between sociality complex behaviors like sun compass navigation time-place-learning. Nevertheless, there aspects structure function, for example role photoperiodism diapause, can be only insufficiently investigated these two models. Unlike high-latitude flies such as Chymomyza costata or ezoana cosmopolitan do not display a photoperiodic diapause. Similarly, bees go into “real” but most solitary species exhibit obligatory Furthermore, evolved different Hymenoptera independently, wherefore it might misleading to study social Consequently, additional non-model required understand Diptera Hymenoptera. In review, we introduce compare them with other show their advantages limitations general models insect clocks.

Language: Английский

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Digital Biomarkers for Depression Screening With Wearable Devices: Cross-sectional Study With Machine Learning Modeling

JMIR mhealth and uhealth, Journal Year: 2021, Volume and Issue: 9(10), P. e24872 - e24872

Published: July 15, 2021

Background Depression is a prevalent mental disorder that undiagnosed and untreated in half of all cases. Wearable activity trackers collect fine-grained sensor data characterizing the behavior physiology users (ie, digital biomarkers), which could be used for timely, unobtrusive, scalable depression screening. Objective The aim this study was to examine predictive ability biomarkers, based on from consumer-grade wearables, detect risk working population. Methods This cross-sectional 290 healthy adults. Participants wore Fitbit Charge 2 devices 14 consecutive days completed health survey, including screening depressive symptoms using 9-item Patient Health Questionnaire (PHQ-9), at baseline weeks later. We extracted range known novel biomarkers physical activity, sleep patterns, circadian rhythms wearables steps, heart rate, energy expenditure, data. Associations between severity were examined with Spearman correlation multiple regression analyses adjusted potential confounders, sociodemographic characteristics, alcohol consumption, smoking, self-rated health, subjective loneliness. Supervised machine learning statistically selected predict symptom status). varying cutoff scores an acceptable PHQ-9 score define group different subsamples classification, while set remained same. For performance evaluation, we k-fold cross-validation obtained accuracy measures holdout folds. Results A total 267 participants included analysis. mean age 33 (SD 8.6, 21-64) years. Out participants, there mild female bias displayed (n=170, 63.7%). majority Chinese (n=211, 79.0%), single (n=163, 61.0%), had university degree (n=238, 89.1%). found greater robustly associated variation nighttime rate AM 4 6 AM; it also lower regularity weekday steps estimated nonparametric interdaily stability autocorrelation as well fewer steps-based daily peaks. Despite several reliable associations, our evidence showed limited whole sample However, balanced contrasted comprised depressed no or minimal symptoms), model achieved 80%, sensitivity 82%, specificity 78% detecting subjects high depression. Conclusions Digital have been discovered are behavioral physiological consumer increased assist screening, yet current shows ability. Machine models combining these discriminate individuals risk.

Language: Английский

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To sleep or not to sleep: neuronal and ecological insights

Current Opinion in Neurobiology, Journal Year: 2017, Volume and Issue: 44, P. 132 - 138

Published: May 11, 2017

Language: Английский

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Sleep in Drosophila and Its Context

Frontiers in Physiology, Journal Year: 2019, Volume and Issue: 10

Published: Sept. 11, 2019

A prominent idea emerging from the study of sleep is that this key behavioural state regulated in a complex fashion by ecologically and physiologically relevant environmental factors. This concept implies sleep, as behaviour, plastic can be external agents changes internal state. Drosophila melanogaster constitutes resourceful model system to behaviour. In year 2000, utility fly was realised, has since extensively contributed exciting field. At centre review, we will discuss studies showing temperature, food availability/quality interactions with conspecifics regulate sleep. Indeed relationship reciprocal perturbation also affect feeding social interaction. particular, different temperatures well gradual temperature when, how much flies Moreover, satiation/starvation status an individual dictates balance between foraging. Nutritional composition diet direct impact on amount its fragmentation. Likewise, aggression males, courtship, sexual arousal, mating within large groups animals acute long-lasting effect quality. Importantly, genes neuronal circuits relay information about environment centres are starting elucidated focus review. conclusion, most behaviours, needs full commitment individual, preventing participation other vital activities. vast array behaviours modulated factors, compete need thus have significant role regulating it.

Language: Английский

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Music of infant-directed singing entrains infants’ social visual behavior

Proceedings of the National Academy of Sciences, Journal Year: 2022, Volume and Issue: 119(45)

Published: Nov. 2, 2022

Infant-directed singing is a culturally universal musical phenomenon known to promote the bonding of infants and caregivers. Entrainment widely observed physical by which diverse systems adjust rhythmic activity through interaction. Here we show that simple act infant-directed entrains infant social visual behavior on subsecond timescales, increasing infants' looking eyes caregiver: as early 2 months age, doubling in strength 6 months, synchronize their eye-looking rhythm singing. Rhythmic entrainment also structures caregivers' own cueing, enhancing display social-communicative content: caregivers increase wide-eyed positive affect, reduce neutral facial eye motion, blinking, all time with aligned moments when eye-looking. In addition, if experimentally disrupted-reducing its predictability-then time-locked disrupted. These results reveal generic processes fundamental coupling mechanism attunes precisely timed content supports learning development.

Language: Английский

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When night becomes day: Artificial light at night alters insect behavior under semi-natural conditions

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 926, P. 171905 - 171905

Published: March 24, 2024

Language: Английский

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Measuring Relative Coupling Strength in Circadian Systems

Journal of Biological Rhythms, Journal Year: 2017, Volume and Issue: 33(1), P. 84 - 98

Published: Dec. 8, 2017

Modern imaging techniques allow the monitoring of circadian rhythms single cells. Coupling between these cellular oscillators can generate coherent periodic signals on tissue level that subsequently orchestrate physiological outputs. The strength coupling in such systems is often unclear. In particular, effects by varying cell densities, knockouts, and inhibitor applications are debated. this study, we suggest to quantify relative via analyzing period, phase, amplitude distributions ensembles individual oscillators. Simulations different oscillator networks show period phase become narrower with increasing strength. Moreover, amplitudes increase due resonance effects. Variances periods phases decay monotonically strength, serve therefore as measures Our theoretical predictions confirmed studying recently published experimental data from PERIOD2 expression slices suprachiasmatic nucleus during after application tetrodotoxin (TTX). On corresponding distributions, treatment TTX be associated a reduced system coupled Analysis an network derived directly confirms our conclusions. We approach also applicable fibroblast cultures hepatocyte networks, for social synchronization rhythmicity rodents, flies, bees.

Language: Английский

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Inferring dynamic topology for decoding spatiotemporal structures in complex heterogeneous networks

Proceedings of the National Academy of Sciences, Journal Year: 2018, Volume and Issue: 115(37), P. 9300 - 9305

Published: Aug. 27, 2018

Significance Inferring connections forms a critical step toward understanding large and diverse complex networks. To date, reliable efficient methods for the reconstruction of network topology from measurement data remain challenge due to high complexity nonlinearity system dynamics. These obstacles also form bottleneck analyzing controlling dynamic structures (e.g., synchrony) collective behavior in such The novel contribution this work is develop unified data-driven approach reliably efficiently reveal networks different scales—from cells societies. developed technique provides guidelines refinement experimental designs comprehensive heterogeneous

Language: Английский

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