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  • 2017-2021
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  • Canadian Institutes of Health Resea...

  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Lalonde, Simon; Valérie-Anne Codina-Fauteux; Bellefon, Sébastian; Leblanc, Francis; +7 Authors

    Biological pathways that are enriched for transcription factors that bind within ATACseq peaks profiled in NT and TNFα treated teloHAEC. (XLSX 14 kb)

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    Dataset . 2019
    License: CC BY
    Data sources: Datacite
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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    Dataset . 2019
    License: CC BY
    Data sources: Datacite
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ figsharearrow_drop_down
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      Dataset . 2019
      License: CC BY
      Data sources: Datacite
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      Dataset . 2019
      License: CC BY
      Data sources: Datacite
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    Authors: Mealey, Nicole E.; O���Sullivan, Dylan E.; Peters, Cheryl E.; Heng, Daniel Y. C.; +1 Authors

    Additional file 6: Table S1. Comparison of COSMIC mutational signature contributions to non-seminomatous (n = 56) and seminomatous (n = 44) testicular tumors. Entries are number (proportion) of cases with a signature present above a threshold of 6% in each histologic group. P-values were calculated adjusting for age of onset * indicates statistical significance at a 0.05 level.

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    Dataset . 2021
    License: CC BY
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    Dataset . 2021
    License: CC BY
    Data sources: Datacite
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ figsharearrow_drop_down
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      Dataset . 2021
      License: CC BY
      Data sources: Datacite
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      Dataset . 2021
      License: CC BY
      Data sources: Datacite
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    Authors: Villandré, Luc; Labbe, Aurélie; Brenner, Bluma; Roger, Michel; +1 Authors

    This file contains an R object giving the results for the scenario in the simulation study where the concentration parameter prior is assumed to have mean 10 and we use the MAP topology. The file is compressed in gzip format. (GZ 8365 kb)

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    Dataset . 2018
    License: CC BY
    Data sources: Datacite
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    Dataset . 2018
    License: CC BY
    Data sources: Datacite
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      Dataset . 2018
      License: CC BY
      Data sources: Datacite
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      Dataset . 2018
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Curtin, Kimberley D.; Thomson, Mathew; Nykiforuk, Candace I. J.;

    Additional file 1. An additional table is available describing the variables and regression results included in each binary logistic regression model created for each survey question separated by imputed and complete case datasets. The file name is “BLR-Additional Table 1-BMC.xlsx” and it titled “Logistic Regression Models”.

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    Dataset . 2021
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    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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    Dataset . 2021
    License: CC BY
    Data sources: Datacite
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ figsharearrow_drop_down
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      Dataset . 2021
      License: CC BY
      Data sources: Datacite
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      Dataset . 2021
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Thege, Barna Konkolÿ; Horwood, Lewis; Slater, Linda; Tan, Maria; +2 Authors

    “Results of the detailed coding (SPSS data file)”. (SAV 127 kb)

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    Dataset . 2017
    License: CC BY
    Data sources: Datacite
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    Dataset . 2017
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      Dataset . 2017
      License: CC BY
      Data sources: Datacite
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      Dataset . 2017
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    Authors: Tianyuan Lu; Klein, Kathleen; InĂŠs Colmegna; Lora, Maximilien; +2 Authors

    Additional file 2: Table S2. Summary of CHG-based DMGs.

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    Dataset . 2019
    License: CC BY
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    Dataset . 2019
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      Dataset . 2019
      License: CC BY
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      Dataset . 2019
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    Authors: Mehdi, Ali; Cheishvili, David; Arakelian, Ani; Bismar, Tarek A.; +2 Authors

    Additional file 3: Supplementary Table 2. List of the primers used for pyrosequencing and amplicon sequencing (Illumina MiSeq system).

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    Dataset . 2020
    License: CC BY
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    Dataset . 2020
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      Dataset . 2020
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      Dataset . 2020
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    Authors: Mei-Dan, Elad; Asztalos, Elizabeth; Willan, Andrew; Barrett, Jon;

    Adverse maternal or neonatal outcomes by method of induction. (RTF 86 kb)

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    Authors: Asif, Maliha; Cadel, Lauren; Kuluski, Kerry; Everall, Amanda C.; +1 Authors

    Purpose: The purpose of this scoping review was to explore the literature on experiences and perspectives of patients with hip fractures and their caregivers during transitions in care. Methods: Seven databases were searched for studies published between 1 January 2000 and 3 July 2018. Grey literature was also searched. Results: Eleven articles met the inclusion criteria. The scoping review found that patients and caregivers encounter several challenges during care transitions including the following: lack of information sharing, role confusion and disorganized discharge planning. Common suggestions reported in the literature for improving care transitions were: increasing written communication, offering a patient representative role, using technology for knowledge dissemination and increasing geriatrician involvement. Conclusions: The results of this scoping review provide a useful foundation from which to build strategies to address challenges such as lack of information sharing, role confusion and disorganized discharge planning experienced by patients and caregivers during care transitions. Further research needs to explore the development of strategies to promote patient-centered care especially during discharge from an acute care facility.Implications for rehabilitationEncourage health care providers to collaborate with patients with hip fracture and caregivers on decision-making about rehabilitation and recovery goals, discharge planning and safe patient transfer.Assess the needs of patients with hip fracture and caregivers before, during and after a care transition to deliver patient and family-centered care across multiple care settings.Provide patients with hip fracture and caregivers standardized information-exchange tools to increase timely, accurate exchange of information during care transitions.Encourage formal discussions about roles and responsibilities in the transitions in care process among patients with hip fracture, caregivers and health care providers. Encourage health care providers to collaborate with patients with hip fracture and caregivers on decision-making about rehabilitation and recovery goals, discharge planning and safe patient transfer. Assess the needs of patients with hip fracture and caregivers before, during and after a care transition to deliver patient and family-centered care across multiple care settings. Provide patients with hip fracture and caregivers standardized information-exchange tools to increase timely, accurate exchange of information during care transitions. Encourage formal discussions about roles and responsibilities in the transitions in care process among patients with hip fracture, caregivers and health care providers.

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    Authors: Bernhardt, Boris C.; Fadaie, Fatemeh; Liu, Min; Caldairou, Benoit; +6 Authors

    OBJECTIVE. To assess whether HS severity is mirrored at the level of large-scale networks. METHODS. We studied preoperative high-resolution anatomical and diffusion-weighted MRI of 44 TLE patients with histopathological diagnosis of HS (n=25; TLE-HS) and isolated gliosis (n=19; TLE-G), and 25 healthy controls. Hippocampal measurements included surface-based subfield mapping of atrophy and T2 hyperintensity indexing cell loss and gliosis, respectively. Whole-brain connectomes were generated via diffusion tractography and examined using graph theory along with a novel network control theory paradigm which simulates functional dynamics from structural network data. RESULTS. Compared to controls, we observed markedly increased path length and decreased clustering in TLE-HS compared to controls, indicating lower global and local network efficiency, while TLE-G showed only subtle alterations. Similarly, network controllability was lower in TLE-HS only, suggesting limited range of functional dynamics. Hippocampal imaging markers were positively associated with macroscale network alterations, particularly in ipsilateral CA1-3. Systematic assessment across several networks revealed maximal changes in the hippocampal circuity. Findings were consistent when correcting for cortical thickness, suggesting independence from grey matter atrophy. CONCLUSIONS. Severe HS is associated with marked remodeling of connectome topology and structurally-governed functional dynamics in TLE, as opposed to isolated gliosis which has negligible effects. Cell loss, particularly in CA1-3, may exert a cascading effect on brain-wide connectomes, underlining coupled disease processes across multiple scales. Data_phen_conn_dryadPhenotypic information and mean connectome feature data for Bernhardt et al. (2019) Temporal lobe epilepsy: hippocampal pathology modulates white matter connectome topology and controllability. Neurology

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    Authors: Lalonde, Simon; Valérie-Anne Codina-Fauteux; Bellefon, Sébastian; Leblanc, Francis; +7 Authors

    Biological pathways that are enriched for transcription factors that bind within ATACseq peaks profiled in NT and TNFα treated teloHAEC. (XLSX 14 kb)

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    Authors: Mealey, Nicole E.; O���Sullivan, Dylan E.; Peters, Cheryl E.; Heng, Daniel Y. C.; +1 Authors

    Additional file 6: Table S1. Comparison of COSMIC mutational signature contributions to non-seminomatous (n = 56) and seminomatous (n = 44) testicular tumors. Entries are number (proportion) of cases with a signature present above a threshold of 6% in each histologic group. P-values were calculated adjusting for age of onset * indicates statistical significance at a 0.05 level.

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    Authors: Villandré, Luc; Labbe, Aurélie; Brenner, Bluma; Roger, Michel; +1 Authors

    This file contains an R object giving the results for the scenario in the simulation study where the concentration parameter prior is assumed to have mean 10 and we use the MAP topology. The file is compressed in gzip format. (GZ 8365 kb)

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    Authors: Curtin, Kimberley D.; Thomson, Mathew; Nykiforuk, Candace I. J.;

    Additional file 1. An additional table is available describing the variables and regression results included in each binary logistic regression model created for each survey question separated by imputed and complete case datasets. The file name is “BLR-Additional Table 1-BMC.xlsx” and it titled “Logistic Regression Models”.

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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      Dataset . 2021
      License: CC BY
      Data sources: Datacite
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/