Showing 19,041 - 19,060 results of 103,943 for search '(( 5 ((a decrease) OR (mean decrease)) ) OR ( e ((nn decrease) OR (point decrease)) ))', query time: 1.52s Refine Results
  1. 19041

    Data_Sheet_1_Localization of beta power decrease as measure for lateralization in pre-surgical language mapping with magnetoencephalography, compared with functional magnetic reson... by Kirsten Herfurth (14013042)

    Published 2022
    “…This study examines the concordance between MEG source localization of beta power desynchronization and fMRI with regard to lateralization and localization of expressive and receptive language areas using a visual verb generation task.</p><p>Methods: Twenty-five patients with pharmaco-resistant epilepsy, including six patients with atypical language lateralization, and ten right-handed controls obtained MEG and fMRI language assessment. …”
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    Fig 3 - by Jialing He (2339845)

    Published 2023
    “…We searched Medline, Embase, and CENTRAL from inception until January 5, 2022, without language restriction. Quantitative pooling of the data was undertaken using a random-effects model. …”
  8. 19048

    Summary of findings and strength of evidence. by Jialing He (2339845)

    Published 2023
    “…We searched Medline, Embase, and CENTRAL from inception until January 5, 2022, without language restriction. Quantitative pooling of the data was undertaken using a random-effects model. …”
  9. 19049

    Fig 2 - by Jialing He (2339845)

    Published 2023
    “…We searched Medline, Embase, and CENTRAL from inception until January 5, 2022, without language restriction. Quantitative pooling of the data was undertaken using a random-effects model. …”
  10. 19050

    Fig 1 - by Jialing He (2339845)

    Published 2023
    “…We searched Medline, Embase, and CENTRAL from inception until January 5, 2022, without language restriction. Quantitative pooling of the data was undertaken using a random-effects model. …”
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    Systematic errors and base quality score recalibration. by Justin M. Zook (146772)

    Published 2012
    “…These observed variants are treated as SSEs by the BQSR algorithm, incorrectly decreasing their base quality scores and quality scores of similar bases in other locations in the genome. (4) Biological variants that are not in dbSNP are also treated as SSEs by the BQSR algorithm, again decreasing their and similar bases’ recalibrated quality scores. (5) Since variant bases are only seen on one strand, they are likely to be SSEs. …”
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