Showing 17,641 - 17,660 results of 52,235 for search '(( a ((((mean decrease) OR (linear decrease))) OR (larger decrease)) ) OR ( a largest decrease ))', query time: 0.93s Refine Results
  1. 17641

    Table 2_Seed-based resting-state connectivity as a neurosignature in fibromyalgia and depression: a narrative systematic review.docx by Betina Franceschini Tocchetto (20189705)

    Published 2025
    “…The sample comprised 1,877 individuals, including 947 patients and 930 controls, with a mean age of 39.83 years. The seeds were categorized into six neural networks. …”
  2. 17642

    Table 1_Seed-based resting-state connectivity as a neurosignature in fibromyalgia and depression: a narrative systematic review.docx by Betina Franceschini Tocchetto (20189705)

    Published 2025
    “…The sample comprised 1,877 individuals, including 947 patients and 930 controls, with a mean age of 39.83 years. The seeds were categorized into six neural networks. …”
  3. 17643

    Table 4_Seed-based resting-state connectivity as a neurosignature in fibromyalgia and depression: a narrative systematic review.docx by Betina Franceschini Tocchetto (20189705)

    Published 2025
    “…The sample comprised 1,877 individuals, including 947 patients and 930 controls, with a mean age of 39.83 years. The seeds were categorized into six neural networks. …”
  4. 17644

    Table 3_Seed-based resting-state connectivity as a neurosignature in fibromyalgia and depression: a narrative systematic review.docx by Betina Franceschini Tocchetto (20189705)

    Published 2025
    “…The sample comprised 1,877 individuals, including 947 patients and 930 controls, with a mean age of 39.83 years. The seeds were categorized into six neural networks. …”
  5. 17645

    Proxy FC provides limited explanatory power in understanding empirical FC patterns. by Michael Forrester (6165878)

    Published 2024
    “…FC proxies are computed via iterative linear combination of increasingly many eigenmode FC patterns, with accuracy measured after each subsequent addition; specifically: structural eigenvectors added at random (blue), according to the decreasing size of the corresponding eigenvalue (red), in an order chosen for which the step-wise decrease in error is maximised (orange); and eigenmodes of the network Jacobian, in order of decreasing size of the corresponding eigenvalue (purple). …”
  6. 17646

    Outline of study participants. by Shahrzad Daei (20565172)

    Published 2025
    “…A total of 524 subjects were found to have had T2D incidence. …”
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  8. 17648

    Manipulating the ACC/OFC-CeA projections. by Karolina Rojek-Sito (13197192)

    Published 2023
    “…(Right) Inhibition of the ACC-CeA pathway decreases the maintenance of social interaction. …”
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    Influence of Aβ on GD3S activity. by Marcus O. W. Grimm (175238)

    Published 2012
    “…Homogenates of PS1/2-/- cells incubated with Aβ40 and Aβ42 show decreased GD3S activity. Similar results are obtained with Aβ40 and Aβ42 in a cell-free assay containing only purified GD3S and the substrate GM3. …”
  13. 17653

    Sequence length as a predictor of increased gene abundance. by Sarah W. Keenan (765990)

    Published 2015
    “…The arrow indicates the expression value and sequence length of a GLUT isoform (Slc2a1,3,14). Excluding that point did not decrease the P-value appreciably. …”
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    The Effect on Mental Health of a Large Scale Psychosocial Intervention for Survivors of Mass Violence: A Quasi-Experimental Study in Rwanda by Willem F. Scholte (210542)

    Published 2011
    “…Mean SRQ-20 scores decreased by 2.3 points in the experimental group and 0.8 in the control group (<em>p</em> = 0.033). …”
  16. 17656

    The proposed genetic structure of programs. by Pavel Kodytek (10140509)

    Published 2024
    “…Software development and testing are time-consuming processes, and the current market faces a lack of specialized experts. Introducing automation to this field could, therefore, improve software engineers’ common workflow and decrease the time to market. …”
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    Upward and downward ramps in inferred spikes during reward approach in a virtual reality environment are detectable over a range of tuning parameters. by Weston Fleming (10924744)

    Published 2021
    “…For each tuning parameter, histograms of changes of the inferred firing rate slope for each neuron, color coded by whether a neuron’s probability of firing significantly decreased (red; mean slope = -0.09 spikes/s<sup>2</sup>, n = 67/303 neurons for 4 Hz target; mean slope = -0.12 spikes/s<sup>2</sup>, n = 72/303 neurons for 6 Hz target; mean slope = -0.15 spikes/s<sup>2</sup>, n = 77/303 neurons for 8 Hz target), increased (blue; mean slope = 0.13 spikes/s<sup>2</sup>, n = 102/303 neurons for 4 Hz target; mean slope = 0.18 spikes/s<sup>2</sup>; n = 112/303 neurons for 6 Hz target; mean slope = 0.22 spikes/s<sup>2</sup>, n = 119/303 neurons for 8 Hz target), or did not change (grey; mean slope = 0.01 spikes/s<sup>2</sup>, n = 134/303 neurons for 4 Hz target; mean slope = 0.02 spikes/s<sup>2</sup>; n = 119/303 neurons for 6 Hz target; mean slope = 0.02 spikes/s<sup>2</sup>, n = 107/303 neurons for 8 Hz target) with increases in maze position. …”
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