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43 results for “physiological state”
A high resolution 7-Tesla resting-state fMRI test-retest dataset with cognitive and physiological measures
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Fig. 1 in Protease inhibitors of fodder plants as a factor of immune response influencing the physiological state of the potato ladybird beetle Henosepilachna vigintioctomaculata (Coleoptera: Coccinellidae)
Fig. 1. Analysis of the population of the potato ladybird beetle with the species-specific PCR-markers of the gene COI mtDNA. А – species-specific marker for H. vigintioctopunctata, 400 b.p.; Б – species-specific marker for H. vigintioctomaculata, 406 b.p.; М – marker of the lengths of fragments 100 b.p. ladder; 1–3 – Primorsky krai: Chuguevsky district; 4–6 – Amurskaya oblast; 7–17 – Primorsky krai: Timiryazevsky.
Fig. 3 in Protease inhibitors of fodder plants as a factor of immune response influencing the physiological state of the potato ladybird beetle Henosepilachna vigintioctomaculata (Coleoptera: Coccinellidae)
Fig. 3. Sinergetic activity of the protainases of trypsin type (in an insect) and trypsin inhibitors (in a plant) in the course of feeding on different potato varieties.
Fig. 3 in Impact of ecotourism on the fish fauna of Bonito region (Mato Grosso do Sul State, Brazil): ecological, behavioural and physiological measures
Fig. 3. Image illustrating under water visibility at the beginning of the snorkeling excursion and the presence of tourists (Lima, 2008).
Fig. 1 in Impact of ecotourism on the fish fauna of Bonito region (Mato Grosso do Sul State, Brazil): ecological, behavioural and physiological measures
Fig. 1. Map showing the location of the study area: Sucuri River (C), município of Bonito area (B), Brazil (A). Adapted from Miranda & Coutinho (2004).
Fig. 8 in Impact of ecotourism on the fish fauna of Bonito region (Mato Grosso do Sul State, Brazil): ecological, behavioural and physiological measures
Fig. 8. Variation of behaviour patterns between before (8h00) and after (9h00) the first disturbance of tourists in the river (mean and SEM) for M. bonita; (a) Tourism and (b) No Tourism. Lighter bars = 8h00; darker bars = 9h00 (Mann-Whitney U-test). N = 70; * p <0.05; ** p <0.01.
Fig. 9 in Impact of ecotourism on the fish fauna of Bonito region (Mato Grosso do Sul State, Brazil): ecological, behavioural and physiological measures
Fig. 9. Variation (mean and SEM) of cortisol responses to restraining stress in Moenkhausia bonita individuals at the No Tourism and Tourism sites (Mann-Whitney U-test, N = 6; Z = -2.95; p <0.005).
Raw Data for Unpublished Study "Physiologically Induced State Anxiety Reduces Perceived Heat Pain in Healthy Subjects"
<p>Version hyper_v01_20231019</p><p>Authors: Alexandros Guekos, Madeleine Hau, Sabina Grob, Gil Sharvit, Petra Schweinhardt</p><p>The present data was collected from February 2022 to May 2023 for a study on the influence of hypercapnia on pain perception.</p><p>The results are to be published soon. A link to the manuscript will be provided.</p><p>Full details of the paradigm, the experimental setup, and the analysis will be given there. Therefore, the following description only summarizes the most important steps.</p><p>In total, 47 subjects (22 men and 25 women) participated in a single experimental session during which they inhaled two different air mixtures, one coresponding to regular room air (normocapnic air, 21% O2 and 0.04 CO2) and one with identical O2 concentration (21%) but 7.5% CO2 concentration (hypercapnic air) for about 13 minutes each. Starting condition, i.e. first mixture, was pseudorandomized across participants.</p><p>Each condition began with a task-free phase of 90s. Then, self-assessment manikin (SAM) ratings for valence and arousal had to be entered (10s) before the first heat stimulus. SAM ratings were prompted again in the middle of the condition, i.e. during the ninth interstimulus interval, and after rating the last, i.e. 18th stimulus. After the last stimulus, the body sensations questionnaire (BSQ) had to be filled in (60s). After a further 60s of task-free time the air mixture was switched and the entire procedure was repeated for the second condition.</p><p>Instructions for SAM were given before the start of the experiment (see SAM_instructions_final.pdf).</p><p>BSQ was obtained before the experiment as well (see paper version BSQ_new.pdf).</p><p>During inhalation participants received 18 painful heat stimuli of 6s each on three locations on the calf muscle. The stimuli were divided into low (6x), medium (6x), and high (6x). Stimulus temperature was determined based on the individual heat pain tolerance threshold (ToT), corresponding to roughly 95, 96.5, 98% ToT. ToT was determined as a mean of three method of limits beforehand.</p><p>Participants had to rate every stimulus on two scales, one for intensity and one for unpleasantness. The intensity scale ranged from 0 (no sensation) to 200 (maximum tolerable pain) with 100 being the individual pain threshold (HPT). The unpleasantness scale ranged from -100 (extremely unpleasant) to 100 (extremely pleasant) with 0 corresponding to neutral.</p><p>Both scales were presented as horizontal bars with anchors for the lowest, highest, quarter-, and mid-point values. Ratings had to be filled in using a mouse-controlled slider on the two scales displayed on the screen (see Ratings.png). The whole protocol was programmed and displayed with PsychoPy v3.2021.2.3 (Open Science Tools Ltd, Nottingham, UK). The total duration of each condition was approximately 13 minutes (778s).</p><p>During the whole experiment, physiological data was recorded. This included galvanic skin response from the toes (electrodes on biggest and middle toes, in muS), heart rate (three point measurement, in bpm), as well as exhaled O2 and C02 concentration (in %). Heart beat and end-tidal were directly calculated from the registered data during recording and saved with the data.</p><p>The study was funded by the Swiss National Science Foundation as part of a grant to PS (grant number 320030_179191/1).</p>
Decoupling of growth, physiological state, and subsequent performance in a developmentally manipulated songbird
<p class="MsoNormal"><span>It is generally assumed that larger juveniles are more physiologically mature, hence their overall condition and subsequent performance are higher. Yet, some taxa face extreme workload transitions during development (e.g., nest departure in birds), which may select for non-linear growth profiles that decouple relationships between body size and physiological state, making associations between development<span> </span>and juvenile performance uncertain. We manipulated perceived mass in European starlings approaching fledging using 4.0 g weighted backpacks, measuring subsequent growth trajectories (mass, wing length) and physiological state (aerobic capacity, energy state, oxidative status) to test whether body size and physiology are developmentally coupled during a non-linear growth phase (pre-fledging mass recession). Nanotag radio transmitters were then used to track post-fledging performance (activity, activity-slope, dispersal). Weighted nestlings had greater pre-fledging mass recession and lower oxidative status than controls, but equal aerobic capacity and energy state. Haemoglobin and dROMs, as well as metrics of growth and body size, predicted post-fledging performance in control birds, whereas weighted birds showed no correlation between fledgling state and performance. Our data suggest mass-independent development of some physiological traits in species with non-linear growth profiles, potentially with a context-dependent oxidative cost, and that physiology (not just body size) may predict post-fledging performance.</span></p>
Physiological state matching in a pair bonded poison frog
<p>More than a century ago, Charles Darwin hypothesized that the empathy-like phenotype is a phylogenetically widespread phenomenon. This idea remains contentious, due to the challenges of empirically examining emotions, and few investigations among non-mammalian vertebrates. We provide support for Darwin's hypothesis by discovering partial evidence for the most ancestral form of empathy, emotional contagion (i.e., matching another individual's emotional state), in the pair bonding mimetic poison frog, Ranitomeya imitator. We found that male corticosterone, a physiological biomarker of stress, positively correlates with female partners in experimental and semi-natural conditions. This does not appear to coincide with behavioral state-matching. However, it is specific to female partners relative to familiar female non-partners, and is independent of effects that commonly confound studies on emotional contagion. Furthermore, this physiological state-matching is irrespective of partnership longevity or lifetime reproductive output. These results physiologically indicate socially selective emotional contagion in a monogamous amphibian, and paradigms that elicit coinciding neural and behavioral indicators and morphogenic co-variation are needed for further corroboration. Further studies on ancestral forms of empathy in non-mammalian vertebrates are warranted.</p>
Characterizing multidimensional cellular physiological states with quantitative three-dimensional shape descriptors for cell membranes
<h3>Supplementary dataset and code for the article "<em>Characterizing Cellular Physiological States with Three-Dimensional Shape Descriptors for Cell Membranes</em>"</h3> <p>CShaper Dataset.zip: The 3D cell regions reused from the previously published article <a href="https://doi.org/10.1038/s41467-020-19863-x">https://doi.org/10.1038/s41467-020-19863-x</a>.</p> <p>Cell Shape Descriptors - Code & Data.zip: The code (exemplifed by embryo Sample04) and data (including embryo Sample04-Sample20) of 12 3D shape descriptors for all 3D cell regions in the <em>CShaper</em> dataset.</p> <p>GUI.zip: The user-friendly software <em>Shape Descriptor Tool</em> is a Graphical User Interface based on <em>Matlab</em> for calculating 12 shape descriptors for a 3D cell region (exemplified by embryo Sample20, time point 14, ABpl cell in the <em>CShaper</em> dataset). The instruction guidebook is included in the Supplementary Material of the article.</p>
Fig. 2 in Impact of ecotourism on the fish fauna of Bonito region (Mato Grosso do Sul State, Brazil): ecological, behavioural and physiological measures
Fig. 2. Image illustrating tourists at the beginning of the snorkeling excursion (Lima, 2008).
Physiological state matching in a pair bonded poison frog
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Decoupling of growth, physiological state, and subsequent performance in a developmentally manipulated songbird
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Data from: Bed bug preferences for host odor or aggregation odor are differentially modulated by physiological state in various odorscapes
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Data from: How maternal investment varies with environmental factors and the age and physiological state of wild tsetse Glossina pallidipes and Glossina morsitans morsitans
Theory suggests females should optimize resource allocation across reproductive bouts to maximize lifetime reproduction, balancing current and future reproductive efforts according to physiological state and projected survival and reproduction. Tests of these ideas focus on long-lived vertebrates: few measure age-related reproductive output in iteroparous invertebrates, or partition reserves between those allocated to offspring versus mothers. We investigated how maternal age, and environmental and physiological factors influence reproductive investment in wild tsetse, Glossina pallidipes Austen and G. morsitans morsitans Westwood. Tsetse provide a tractable system to measure reproductive allocation. Females exhibit high maternal investment, producing single, large offspring that rely exclusively on maternal reserves. We find that mothers in better physiological condition and experiencing cooler temperatures produce larger offspring. Pupal size increases significantly but weakly with age. In both species, females with less fat invest proportionately more in offspring. Post-partum fat decreases in flies with badly frayed wings: poor flight capability may limit their feeding efficiency, or they may sacrifice more reserves as a terminal investment. Our results support evidence that offspring size increases with maternal size, investment depends on the environment, and females with lower chances of future reproduction invest more into current offspring. We discuss the implications of maternal effects for predicting vector population responses to environmental change.
Data from: A dynamic state model of migratory behavior and physiology to assess the consequences of environmental variation and anthropogenic disturbance on marine vertebrates
Integrating behavior and physiology is critical to formulating new hypotheses on the evolution of animal life-history strategies. Migratory capital breeders acquire most of the energy they need to sustain migration, gestation and lactation before parturition. Therefore, when predicting the impact of environmental variation on such species, a mechanistic understanding of the physiology of their migratory behavior is required. Using baleen whales as a model system, we developed a dynamic state variable model that captures the interplay among behavioral decisions, energy, reproductive needs and the environment. We applied the framework to blue whales (Balaenoptera musculus) in the Eastern North Pacific Ocean, and explored the effects of environmental and anthropogenic perturbations on female reproductive success. We demonstrate the emergence of migration to track prey resources, enabling us to quantify the trade-offs among capital breeding, body condition, and metabolic expenses. We predict that periodic climatic oscillations affect reproductive success less than unprecedented environmental changes do. The effect of localized, acute anthropogenic impacts depended on whales' behavioral response to the disturbance; chronic, but weaker, disturbances had little effect on reproductive success. Because we link behavior and vital rates by modeling individuals' energetic budgets, we provide a general framework to investigate the ecology of migration and assess the population consequences of disturbance, while identifying critical knowledge gaps.
A dataset on the physiological state and behavior of drivers in conditionally automated driving
<p>A detailed description of the data collected, the experimental design, materials and methods used in each experiment, and the references associated with this work can be found in the manuscript published in the journal Data in Brief, available in Open Access <a href="https://doi.org/10.1016/j.dib.2023.109027">here</a><strong>.</strong> <strong>Please cite this publication if you use the dataset.</strong></p> <p><strong>Reference : </strong>Quentin Meteier, Marine Capallera, Emmanuel de Salis, Leonardo Angelini, Stefano Carrino, Marino Widmer, Omar Abou Khaled, Elena Mugellini, Andreas Sonderegger. A dataset on the physiological state and behavior of drivers in conditionally automated driving, Data in Brief, 2023, 109027, ISSN 2352-3409, <a href="https://doi.org/10.1016/j.dib.2023.109027">https://doi.org/10.1016/j.dib.2023.109027</a>.</p> <p>--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------</p> <p>This is a set of physiological and behavioural data collected in 6 fixed-base driving simulator experiments from 346 drivers. The data was collected as part of the AdVitam project (for Adaptive Driver-Vehicle Interaction to Make future driving safer), a joint research project funded by the Hasler Foundation, led by the Human Tech Institute (HEIA-FR), the He-Arc, the EPFL+ECAL Lab, and the University of Fribourg (Switzerland).</p> <p>All experiments simulated conditional automation (Level 3 of automation according to the taxonomy released by the <a href="https://www.sae.org/standards/content/j3016_202104/">Society of Automotive Engineers</a>), except for experiment 1 (Level 0 - manual driving).</p> <p>Each folder contains raw and preprocessed data collected in each experiment:</p> <ul> <li>Exp1: Experimental manipulation of relaxation before driving and presence of passenger while driving (manual driving)</li> <li>Exp2: Experimental manipulation of cognitive workload at 2 levels using a verbal task (backwards counting)</li> <li>Exp3: Experimental manipulation of cognitive workload at 3 levels using visual and auditory tasks (N-back task)</li> <li>Exp4: Experimental manipulation of fatigue (sleep deprivation) and driving environment (rural vs. urban scenario)</li> <li>ExpTOR: Multiple takeovers requested through different modalities (visual, auditory, haptic), while performing different non-driving related tasks</li> <li>ExpFinal: Testing a contextual multimodal system for maintaining situation awareness and takeover quality in conditionally automated driving</li> </ul> <p>Physiological data (Electrocardiogram, electrodermal activity and respiration) were collected in all experiments. They were preprocessed in Python with the <a href="https://github.com/neuropsychology/NeuroKit">Neurokit</a> library. It was also used to process the physiological raw signals and calculate a large range of physiological indicators.</p> <p>Some of these measures were also collected in the various experiments: situation awareness, takeover performance (reaction, time, maximum steering wheel angle, ..), affective state, mental workload, non-driving-related task performance, sleepiness..</p> <p>More details on each experiment are provided in the ExpX_README.md of each folder.</p>
Physiological Changes Exploration During the Hypnotic State
ClinicalTrials.gov study NCT04020731. IPD Sharing: Not stated. Countries: 1. Publications: 4.
THE EFFECT OF MOTHER'S VOICE AND LULLABY ON PRETERM INFANTS' PHYSIOLOGICAL PARAMETERS, STRESS AND SLEEPING- WAKING STATE
ClinicalTrials.gov study NCT04886648. IPD Sharing: NO. Countries: 0. Publications: 5.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.