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40 results for “time lags”
Evidence of time-lag in the provision of ecosystem services by tropical regenerating forests to coffee yields
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Data from: Time-lag in responses of birds to Atlantic Forest fragmentation: restoration opportunity and urgency
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Data from: Observed and dark diversity dynamics over millennial time scales: Fast-life history traits linked to expansion lags of plants in northern Europe
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Data from: Large-scale genetic panmixia in the blue shark (Prionace glauca): a single worldwide population, or a genetic lag-time effect of the “grey zone” of differentiation?
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Data from: Maximizing negative correlations in resting-state functional connectivity MRI by time-lag
This paper aims to better understand the physiological meaning of negative correlations in resting state functional connectivity MRI (r-fcMRI). The correlations between anatomy-based brain regions of 18 healthy humans were calculated and analyzed with and without a correction for global signal and with and without spatial smoothing. In addition, correlations between anatomy-based brain regions of 18 naïve anesthetized rats were calculated and compared to the human data. T-statistics were used to differentiate between positive and negative connections. The application of spatial smoothing and global signal correction increased the number of significant positive connections but their effect on negative connections was complex. Positive connections were mainly observed between cortical structures while most negative connections were observed between cortical and non-cortical structures with almost no negative connections between non-cortical structures. In both human and rats, negative connections were never observed between bilateral homologous regions. The main difference between positive and negative connections in both the human and rat data was that positive connections became less significant with time-lags, while negative connections became more significant with time-lag. This effect was evident in all four types of analyses (with and without global signal correction and spatial smoothing) but was most significant in the analysis with no correction for the global signal. We hypothesize that the valence of r-fcMRI connectivity reflects the relative contributions of cerebral blood volume (CBV) and flow (CBF) to the BOLD signal and that these relative contributions are location-specific. If cerebral circulation is primarily regulated by CBF in one region and by CBV in another, a functional connection between these regions can manifest as an r-fcMRI negative and time-delayed correlation. Similarly, negative correlations could result from spatially inhomogeneous responses of rCBV or rCBF alone. Consequently, neuronal regulation of brain circulation may be deduced from the valence of r-fcMRI connectivity.
Time lags and the invasion debt in plant naturalisations
Ecological processes often exhibit time lags. For plant invasions, lags of decades to centuries between species' introduction and establishment in the wild (naturalisation) are common, leading to the idea of an invasion debt: accelerating rates of introduction result in an expanding pool of introduced species that will naturalise in the future. Here, I show how a concept from survival analysis, the hazard function, provides an intuitive way to understand and forecast time lags. For plant naturalisation, theoretical arguments predict that lags between introduction and naturalisation will have a unimodal distribution, and that increasing horticultural activity will cause the mean and variance of lag times to decline over time. These predictions were supported by data on introduction and naturalisation dates for plant species introduced to Britain. While increasing trade and horticultural activity can generate an invasion debt by accelerating introductions, the same processes could lower that debt by reducing lag times.
Data from: Time-lagged effect of predators on tadpole behaviour and parasite infection
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Time lags and the invasion debt in plant naturalisations
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Data from: Maximizing negative correlations in resting-state functional connectivity MRI by time-lag
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The Asymmetric Distribution of RNAPII and Nucleosomes on Replicated Daughter Genomes is caused by Differences in Replication Timing between the Lagging and the Leading Strand [ChIP-seq]
GEO Series GSE160262. Saccharomyces cerevisiae. 218 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Multi-omics analyses in cows and their female progeny in the context of direct and time-lagged heat stress effects
GEO Series GSE289946. Bos taurus. 63 samples. Type: Expression profiling by high throughput sequencing.
The Asymmetric Distribution of RNAPII and Nucleosomes on Replicated Daughter Genomes is caused by Differences in Replication Timing between the Lagging and the Leading Strand [RNA-seq]
GEO Series GSE160265. Saccharomyces cerevisiae. 6 samples. Type: Expression profiling by high throughput sequencing.
Life-cycle multiomics of rice shoots reveals growth stage-specific effects of drought stress and time-lag drought responses
GEO Series GSE233456. Oryza sativa. 576 samples. Type: Expression profiling by high throughput sequencing.
The Asymmetric Distribution of RNAPII and Nucleosomes on Replicated Daughter Genomes is caused by Differences in Replication Timing between the Lagging and the Leading Strand
GEO Series GSE160509. Saccharomyces cerevisiae. 228 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing; Genome binding/occupancy profiling by genome tiling array.
The Asymmetric Distribution of RNAPII and Nucleosomes on Replicated Daughter Genomes is caused by Differences in Replication Timing between the Lagging and the Leading Strand [ChIP]
GEO Series GSE160507. Saccharomyces cerevisiae. 4 samples. Type: Genome binding/occupancy profiling by genome tiling array.
Data from: Time-lagged effects of habitat fragmentation on terrestrial mammals in Madagascar
<p>In our paper “Time-lagged effects of habitat fragmentation on terrestrial mammals in Madagascar” (Conservation Biology) we quantified the magnitude of time-lagged effects of habitat fragmentation for 157 nonvolant terrestrial mammal species in Madagascar, one of the biodiversity hotspots with the highest rates of habitat loss and fragmentation. Therefore, we calculated the proportion of habitat area for each species that are too small to support populations for at least 100 years. First, we refined species’ geographic ranges based on habitat preferences and elevation limits. Secondly, we calculated population sizes of distinct populations by multiplying habitat area with population density. Finally, we used the Ricker-Logistic growth equation to simulate population trajectories for 100 years and determined whether each population could survive for at least 100 years. We used allometric relationships to obtain the required population parameters for this analysis, and we quantified the consequences of uncertainty in these parameter estimates by repeating the analyses with a range of plausible parameter values. Based on the median outcomes, the results showed that for 34 species (22% of the 157 species) at least 10% of their current habitat contained unviable populations. Based on 0.95-quantile values, following a precautionary principle, for 108 species (69%) at least 10% of their habitat contained unviable populations. These results highlight the need to preserve continuous habitat and improve connectivity between habitat fragments. Moreover, our findings may help to identify species for which time-lagged effects are most severe and which may thus benefit the most from conservation actions.</p> <p>In this dataset we provide the taxonomy and trait data for each species analysed in this study. These trait data were used as input to the allometric relationships to predict population parameters. In addition, we provide the different plausible values for each population parameter and species, used in this study.</p>
An Open-label, Time-lagged, Dose-escalation Study to Evalaute the Safety and Efficacy of Subcutaneous Siplizumab in the Treatment of Hidradenitis Suppurativa.
ClinicalTrials.gov study NCT06326476. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Time Lag for Oocyte Denudation: A Better Choice for ICSI Outcome?!
ClinicalTrials.gov study NCT04185623. IPD Sharing: YES. Countries: 1. Publications: 0.
Data set from the article Massaccesi L, Galliera E, Galimberti D, Fenoglio C, Arcaro M, Goi G, Barassi A, Corsi Romanelli MM. Lag-time in Alzheimer's disease patients: a potential plasmatic oxidative stress marker associated with ApoE4 isoform. Immun Ageing. 2019 Apr 1;16:7. doi: 10.1186/s12979-019-0147-x. PMID: 30984280; PMCID: PMC6444862.
<p>Data set from the article: Massaccesi L, Galliera E, Galimberti D, Fenoglio C, Arcaro M, Goi G, Barassi A, Corsi Romanelli MM. Lag-time in Alzheimer's disease patients: a potential plasmatic oxidative stress marker associated with ApoE4 isoform. Immun Ageing. 2019 Apr 1;16:7. doi: 10.1186/s12979-019-0147-x. PMID: 30984280; PMCID: PMC6444862.</p> <p>This is the astract:</p> <p>In the brain, Oxidative Stress (OS) contribute to structural and functional changes associated with vascular aging, such as endothelial dysfunction, extracellular matrix degradation, resulting in age-related reduced vasodilatation in response to agonists. For this reason, OS is considered a key factor in Alzheimer's Disease (AD) development and recent evidence correlated oxidative stress with vascular lesion in the pathogenesis of AD, but the mechanism still need to be fully clarified. The etiology of AD is still not completely understood and is influenced by several factors including Apolipoprotein E (ApoE) genotype. In particular, the Apo ε4 isoform is considered a risk factor for AD development. This study was aimed to evaluate the possible relationship between three plasmatic OS marker and Apo ε4 carrier status. Plasmatic soluble receptor for advanced glycation end products (sRAGE) levels, plasma antioxidant total defenses (by lag-time method) and plasmatic Reactive Oxygen species (ROS) levels were evaluated in 25 AD patients and in 30 matched controls. ROS were significantly higher while plasma antioxidant total defenses and sRAGE levels were significantly lower in AD patients compared to controls. In AD patients lag-time values show a significant positive linear correlation with sRAGE levels and a (even not significant) negative correlation with ROS levels. Lag-time is significantly lower in ε4 carrier (<em>N</em> = 13) than in ε4 non-carrier (<em>N</em> = 12). Our result confirms the substantial OS in AD. Lag-time levels showed a significant positive correlation with sRAGE levels and a significant association with ε4 carrier status suggesting that plasmatic lag-time evaluation can be considered as a potential useful OS risk marker in AD.</p> <p> </p>
Next Generation Sequencing for Transcriptomes Analysis for LAG-1 time course by auxin treatment.
GEO Series GSE144227. Caenorhabditis elegans. 16 samples. Type: Expression profiling by high throughput sequencing.
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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.