Search results for " physiological stress"

showing 3 items of 3 documents

Ecological stoichiometry: a link between developmental speed and physiological stress in an omnivorous insect

2019

The elemental composition of organisms is a part of a suite of functional traits that may adaptively respond to fluctuating selection pressures. Life history theory predicts that predation risk and resource limitations impose selection pressures on organisms’ developmental time and are further associated with variability in energetic and behavioral traits. Between-individual differences in developmental speed, behaviors and physiology have been explained using the pace-of-life syndrome (POLS) hypothesis. However, how an organism’s developmental speed is linked with elemental body composition, metabolism and behavior is not well understood. We compared elemental body composition, latency to …

EcophysiologyCognitive Neurosciencemedia_common.quotation_subjectZoologycarbon-to-nitrogen ratioInsectBiologyelemental body compositiondevelopmental speedLife history theoryPredationlcsh:RC321-57103 medical and health sciencesBehavioral Neuroscience0302 clinical medicineEcological stoichiometrycarbon-to-nitrogen ratio ; developmental speed ; ecological stoichiometry ; elemental body composition ; trait-based ecology ; Gryllus integer ; pace-of-life syndrome ; physiological stresslcsh:Neurosciences. Biological psychiatry. NeuropsychiatryOrganismOriginal Researchphysiological stress030304 developmental biologymedia_common0303 health sciencesecological stoichiometryNeuropsychology and Physiological PsychologyGryllus integerBasal metabolic ratetrait-based ecologypace-of-life syndrometa1181Omnivorehuman activities030217 neurology & neurosurgeryNeuroscience
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Multivariate correlation measures reveal structure and strength of brain–body physiological networks at rest and during mental stress

2021

In this work, we extend to the multivariate case the classical correlation analysis used in the field of network physiology to probe dynamic interactions between organ systems in the human body. To this end, we define different correlation-based measures of the multivariate interaction (MI) within and between the brain and body subnetworks of the human physiological network, represented, respectively, by the time series of delta, theta, alpha, and beta electroencephalographic (EEG) wave amplitudes, and of heart rate, respiration amplitude, and pulse arrival time (PAT) variability. MI is computed: (i) considering all variables in the two subnetworks to evaluate overall brain–body interaction…

Multivariate statisticsTechnology and EngineeringElectroencephalographybrain-heart connectionNetwork topologynetwork physiologylcsh:RC321-571Correlation03 medical and health sciences0302 clinical medicinewearable devicesMedicine and Health SciencesmedicineMultiple correlationSubnetworklcsh:Neurosciences. Biological psychiatry. Neuropsychiatryinformation theory030304 developmental biologyMathematicsOriginal Researchphysiological stressbrain-body interactionsNetwork physiology brain–heart connection cardiovascular oscillations EEG waves physiological stress time series analysis wearable devices0303 health sciencesnetwork physiology; brain-heart connection; cardiovascular oscillations; EEG waves; physiological stressmedicine.diagnostic_testPulse (signal processing)General NeuroscienceCardiorespiratory fitnessbrain–heart connectionMathematics and Statisticscardiovascular oscillationsnetworkstime series analysisphysiologySettore ING-INF/06 - Bioingegneria Elettronica E InformaticaNeuroscience030217 neurology & neurosurgeryEEG wavesNeuroscience
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Conceptualizing ecosystem tipping points within a physiological framework

2017

Connecting the nonlinear and often counterintuitive physiological effects of multiple environmental drivers to the emergent impacts on ecosystems is a fundamental challenge. Unfortunately, the disconnect between the way “stressors” (e.g., warming) is considered in organismal (physiological) and ecological (community) contexts continues to hamper progress. Environmental drivers typically elicit biphasic physiological responses, where performance declines at levels above and below some optimum. It is also well understood that species exhibit highly variable response surfaces to these changes so that the optimum level of any environmental driver can vary among interacting species. Thus, specie…

multiple stressorperformance curveSettore BIO/07 - Ecologia0106 biological sciencesIssue Informationfood web dynamics; multiple stressors; performance curves; phase shifts; physiological stress; species interactions; Ecology Evolution Behavior and Systematics; Ecology; Nature and Landscape Conservation010603 evolutionary biology01 natural sciencesfood web dynamicphase shiftEcosystemSociologyEcology Evolution Behavior and SystematicsPhysiological stressOriginal Researchphysiological stressNature and Landscape Conservationspecies interactionsspecies interactionEcologyphysiological streEcology010604 marine biology & hydrobiologyperformance curvesEnvironmental ethicsEcology Evolution Behavior and Systematicmultiple stressorsphase shiftsPerformance curvesfood web dynamicsEcology and Evolution
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