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114 results for “structural connectivity”
Past connections with the mainland structure patterns of insular species richness in a continental-shelf archipelago (Aegean Sea, Greece): Species richness matrixes and shapefiles
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Data from: Contrasting patterns of population structure and gene flow facilitate exploration of connectivity in two widely distributed temperate octocorals
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Data from: Assessing the permeability of landscape features to animal movement: using genetic structure to infer functional connectivity
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Spatiotemporal connectivity dynamics in spatially structured populations
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Genetic connectivity and population structure of African savanna elephants (Loxodonta africana) in Tanzania
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Data from: Population assignment reveals low migratory connectivity in a weakly structured songbird
Understanding migratory connectivity is essential for determining the drivers behind population dynamics and for implementing effective conservation strategies for migratory species. Genetic markers provide a means to describe migratory connectivity, however they can be uninformative for species with weak population genetic structure, which has limited their application. Here, we demonstrated a genomic approach to describing migratory connectivity in the prothonotary warbler, Protonotaria citrea, a Neotropical songbird of conservation concern. Using 26,189 SNPs, we revealed regional genetic structure between the Mississippi River Valley and the Atlantic Seaboard with overall weak genetic differentiation among populations (FST = 0.0055; 95% CI: 0.0051 - 0.0059). Genetic variation had a stronger association with geographic rather than environmental factors, with each explaining 14.5% and 8.2% of genetic variation, respectively. By varying the numbers of genomic markers used in population assignment models with individuals of known provenance, we identified a maximum assignment accuracy (89.7% to site, 94.3% to region) using a subset of 600 highly differentiated SNPs. We then assigned samples from nonbreeding sites to breeding region, and found low migratory connectivity. Our results highlight the importance of filtering markers for informative loci in models of population assignment. Quantifying migratory connectivity for weakly structured species will be useful for expanding studies to a wider-range of migratory species across taxonomic groups and may contribute to a deeper understanding of the evolution of migratory strategies.
Supplementary material 1 from: Jaun A, Wymann H-P, Lucek K (2022) Lack of genetic structure suggests high connectivity of Parnassius phoebus between nearby valleys in the Alps. Alpine Entomology 6: 1-6. https://doi.org/10.3897/alpento.6.80405
Table S1
Supplementary files for "Connection between water's dynamical and structural properties: insights from ab initio simulations"
<p>Examples of input scripts and data files for the simulations.</p>
Data from: Ecological connectivity shapes quasispecies structure of RNA viruses in an Antarctic lake
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Data from: Frontoparietal structural connectivity mediates the top-down control of neuronal synchronization associated with selective attention
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Data from: Asymmetric oceanographic processes mediate connectivity and population genetic structure as revealed by RADseq in a highly dispersive marine invertebrate (Parastichopus californicus)
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Data from: Population assignment reveals low migratory connectivity in a weakly structured songbird
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Data from: Effective connectivity of depth-structure-selective patches in the lateral bank of the macaque intraparietal sulcus
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Connecting ligand-induced retinoid X receptor structural dynamics to rexinoid agonist potency
GEO Series GSE199381. Homo sapiens. 15 samples. Type: Expression profiling by high throughput sequencing.
Neutron reflectometry datasets for "Structure and Hydration of Asymmetric Polyelectrolyte Multilayers as studied by Neutron Reflectometry: Connecting Multilayer Structure to Superior Membrane Performance"
<p>Reflectometry datasets collected from asymmetric polyelectrolyte films on the Platypus reflectometer.</p> <p>Analysis was undertaken in a <a href="https://jupyter.org/">jupyter notebook</a> environment. The notebook file is provided to allow reproduction of the analysis alongside a pdf copy for ease of access.</p> <p>The reflectometry data files provided are four-column text files. Column 1 is Q, column 2 is R, column 3 is R error, and column 4 is Q error (resolution).</p>
Data from: Integrated analysis and visualization of group differences in structural and functional brain connectivity: applications in typical ageing and schizophrenia
Structural and functional brain connectivity are increasingly used to identify and analyze group differences in studies of brain disease. This study presents methods to analyze uni- and bi-modal brain connectivity and evaluate their ability to identify differences. Novel visualizations of significantly different connections comparing multiple metrics are presented. On the global level, "bi-modal comparison plots" show the distribution of uni- and bi-modal group differences and the relationship between structure and function. Differences between brain lobes are visualized using "worm plots". Group differences in connections are examined with an existing visualization, the "connectogram". These visualizations were evaluated in two proof-of-concept studies: (1) middle-aged versus elderly subjects; and (2) patients with schizophrenia versus controls. Each included two measures derived from diffusion weighted images and two from functional magnetic resonance images. The structural measures were minimum cost path between two anatomical regions according to the "Statistical Analysis of Minimum cost path based Structural Connectivity" method and the average fractional anisotropy along the fiber. The functional measures were Pearson's correlation and partial correlation of mean regional time series. The relationship between structure and function was similar in both studies. Uni-modal group differences varied greatly between connectivity types. Group differences were identified in both studies globally, within brain lobes and between regions. In the aging study, minimum cost path was highly effective in identifying group differences on all levels; fractional anisotropy and mean correlation showed smaller differences on the brain lobe and regional levels. In the schizophrenia study, minimum cost path and fractional anisotropy showed differences on the global level and within brain lobes; mean correlation showed small differences on the lobe level. Only fractional anisotropy and mean correlation showed regional differences. The presented visualizations were helpful in comparing and evaluating connectivity measures on multiple levels in both studies.
Effect of metacognitive interpersonal therapy on brain structural connectivity in borderline personality disorder: results from the CLIMAMITHE study.
<p><span>Recently, we showed that Metacognitive Interpersonal Therapy (MIT) is effective in improving clinical symptoms in borderline personality disorder (BPD). Here, we investigated whether the effect of MIT on clinical features is associated to microstructural changes in brain circuits supporting core BPD symptoms.</span></p>
Structural and Functional Brain Reorganization in Neuropathic Pain: Basal State of Local Cerebral Blood Flow and Functional Connectivity
ClinicalTrials.gov study NCT02858466. IPD Sharing: NO. Countries: 1. Publications: 0.
Study of Structural and Functional Brain Connectivity Changes in ALS (CoALS-II)
ClinicalTrials.gov study NCT05404867. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Investigation of Seasonal Variations of Brain Structure and Connectivity in SAD
ClinicalTrials.gov study NCT03313674. IPD Sharing: NO. Countries: 1. Publications: 0.
ScienceDex guides
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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.