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Showing 1–12 of 12 results
Advanced filters: Author: Evan W. McConnell Clear advanced filters

  • Although the number of participants is important for phenotypic prediction accuracy in brain-wide association studies using functional MRI, scanning for at least 30 min offers the greatest cost effectiveness.

    • Leon Qi Rong Ooi
    • Csaba Orban
    • Clifford R. Jack Jr
    ResearchOpen Access
    Nature
    Volume: 644, P: 731-740

  • Surface melt water from the Greenland ice sheet can become trapped in firn, delaying its journey to the sea. Radar and ice-core observations provide direct evidence of a perennial aquifer in the firn layer in southern Greenland that represents a potentially significant contribution to the Greenland mass budget.

    • Richard R. Forster
    • Jason E. Box
    • Joseph R. McConnell
    Research
    Nature Geoscience
    Volume: 7, P: 95-98

  • The Somatic Mosaicism across Human Tissues Network aims to create a reference catalogue of somatic mosaicism across different tissues and cells within individuals.

    • Tim H. H. Coorens
    • Ji Won Oh
    • Yuqing Wang
    Reviews
    Nature
    Volume: 643, P: 47-59

  • The results obtained by seventy different teams analysing the same functional magnetic resonance imaging dataset show substantial variation, highlighting the influence of analytical choices and the importance of sharing workflows publicly and performing multiple analyses.

    • Rotem Botvinik-Nezer
    • Felix Holzmeister
    • Tom Schonberg
    Research
    Nature
    Volume: 582, P: 84-88

  • Developmental disorders (DDs) are more prevalent in males, thought to be due to X-linked genetic variation. Here, the authors investigate the burden of X-linked coding variants in 11,044 DD patients, showing that this contributes to ~6% of both male and female cases and therefore does not solely explain male bias in DDs.

    • Hilary C. Martin
    • Eugene J. Gardner
    • Matthew E. Hurles
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-13

  • Alzheimer’s disease has been associated with increased structural brain aging. Here the authors describe a model that predicts brain aging from resting state functional connectivity data, and demonstrate this is accelerated in individuals with pre-clinical familial Alzheimer’s disease.

    • Julie Gonneaud
    • Alex T. Baria
    • Etienne Vachon-Presseau
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-17

  • Late-onset Alzheimer's disease (LOAD) is a complex multi-factorial disorder. Here, the authors perform a data-driven analysis of LOAD progression, including multimodal brain imaging, plasma and CSF biomarkers, and find vascular dysfunction is among the earliest and strongest altered events.

    • Y. Iturria-Medina
    • R. C. Sotero
    • Ansgar J. Furst
    ResearchOpen Access
    Nature Communications
    Volume: 7, P: 1-14

  • In an inter-laboratory study, the authors compare the accuracy and performance of three optical density calibration protocols (colloidal silica, serial dilution of silica microspheres, and colony-forming unit (CFU) assay). They demonstrate that serial dilution of silica microspheres is the best of these tested protocols, allowing precise and robust calibration that is easily assessed for quality control and can also evaluate the effective linear range of an instrument.

    • Jacob Beal
    • Natalie G. Farny
    • Jiajie Zhou
    ResearchOpen Access
    Communications Biology
    Volume: 3, P: 1-29