18 research outputs found

    Demographic and behavioral data for healthy volunteers and binge drinkers.

    No full text
    <p>AUDIT: Alcohol Use Disorders Identification Test, BDI: Beck Depression Inventory, NART: National Adult Reading Test, STAI: Spielberger Trait Anxiety Inventory. Standard deviations in brackets except where noted otherwise.</p><p>All p-values reported are for 2-tailed independent samples t-tests, equal variances not assumed, except smoking history, which was tested with Fisher's Exact Test.</p>†<p>: Missing values from one participant.</p>‑<p>: Missing values from 5 participants.</p

    Alcohol Use Disorders Identification Test scores are negatively correlated with hipppcampus and amygdala grey matter volume.

    No full text
    <p>A) Regions of hippocampus and B) amygdala negatively correlated with Alcohol Use Disorders Identification Test scores across groups. Hippocampus: Left side: βˆ’30.0, βˆ’19.5, βˆ’16.5; Zβ€Š=β€Š3.93, FWE-corrected Pβ€Š=β€Š0.009; cluster size β€Š=β€Š289. Amygdala: Left side: βˆ’22.5, βˆ’9.0, βˆ’12.0; Zβ€Š=β€Š3.08, FWE-corrected β€Š=β€Š0.037; cluster size β€Š=β€Š4. Right side: 27.0, βˆ’7.5, βˆ’13.5; Zβ€Š=β€Š3.46, FWE-corrected Pβ€Š=β€Š0.012; cluster size β€Š=β€Š43. All images are shown at whole brain uncorrected P<0.005, cluster size >0, overlaid on the mean group grey matter image, and masked by the atlas delineations of these structures in neurological convention. Voxel-wise t-values are color coded according to legend.</p

    Alcohol Use Disorders Identification Test scores are negatively correlated with hippocampus and amygdala grey matter volume.

    No full text
    <p>Plots of peak voxel beta values versus Alcohol Use Disorders Identification Test (AUDIT) scores. Hippocampus and amygdala peak voxel parameter estimates were significantly negatively correlated with AUDIT score (R<sup>2</sup> β€Š=β€Š0.336, P<0.001, and R<sup>2</sup> β€Š=β€Š0.410, P<0.001, respectively).</p

    Overview of network properties and analysis.

    No full text
    <p>(a) Histogram of correlation coefficients (i.e. edge weights) for each group. (b) Schematic diagram of a simple network with a semi-metric connection between nodes 1 and 2 (dashed edge) due to a shorter indirect path comprising edges between nodes 2 and 3 and 3 and 1 (solid edges). (c) The distribution of number of edges for semi-metric paths for each group. (d) Proximity matrices averaged across participants, for each group. (e) Axial projections of metric and semi-metric backbones for the control group. The thickness of the edges represents the percentage of participants within each group with a semi-metric edge at that location, with percentages > 90% omitted.</p

    Semi-metric percentages and backbones.

    No full text
    <p>(a) Sagittal, axial and coronal projections of nodes coloured according to the modules in which they are contained. (b) Between-group comparisons (patient groups relative to controls) for whole brain, left and right hemisphere SMP displayed as box-and-whisker plots identifying the median by the central line, the 25<sup>th</sup> and 75<sup>th</sup> percentile ranges by the limits of the box, and the minimum and maximum range (excluding outliers) by the limits of the whiskers. Outliers are individually displayed and defined as values >1.5 the interquartile range from the 25% and 75% quartiles. (c) Sagittal projections of the left and right hemispheres of the semi-metric backbones for each group. The thickness of the edges represents the percentage of participants within each group with a semi-metric edge at that location, with percentages > 90% omitted.</p

    Node degree and node disruption indices.

    No full text
    <p>Sagittal, axial and coronal projections (left-to-right) of nodes for comparisons of node degree in the semi-metric network for each between-group comparisons: (a) ASC vs. controls; (b) MDD vs controls. The radius of the node is proportional to the average degree difference and the colour denotes the direction of the effect; red indicating increases and green decreases, relative to controls. Plots of the difference in mean degree between (c) ASC and (d) MDD, and controls against mean degree for controls, for the semi-metric network. Node disruption indices are defined as the slope of the regression lines, plotted on each graph.</p
    corecore