Figures and data
Principal components of traits and thoughts
A) First five trait components derived from PCA after varimax rotation are represented as word-clouds with negative loadings shown in blue, and positive loadings in red; the absolute loading value is represented by the font size of the item. In the bottom left panel, scree-plot showing the percentage of trait variance explained by the each of the first 10 components in grey, and the first five components after varimax rotation in red. B) Results of the application of PCA to the MDES data, depicted in the same way.
Group-level gradients of functional connectivity
On the left are the first three group-averaged gradients, represented in left lateral and medial views. Regions with similar whole-brain connectivity profiles are shown in similar colours, with yellow and purple regions indicating most dissimilar connectivity patterns. Loading ranges and directions are arbitrary. In the middle, word clouds representing the top 10 positive (red) and negatively correlated (blue) Neurosynth decoding topic terms for each gradient map. On the right, radar-plots showing the Yeo-network profile of each group-level gradient depicted in the left column. Each radar-plot shows the mean gradient loadings for all parcels within the seven Yeo networks.
Comparison of group-level gradients to BrainSpace HCP template
The first scatterplot shows 400 parcel positions along G1 and G2 in the template calculated from the HCP subsample included in BrainSpace toolbox (Vos de Wael et al., 2020). The second scatterplot shows parcel positions in the group-level gradients G1 and G2 after Procrustes alignment to the HCP template. Parcels are color-coded according to their respective Yeo network. Yeo networks are shown as color-coded brain maps on the right.
Relationship between trait “Introversion” on the first three connectivity gradients
On the left, parcels within the first three gradients that show significant (pbonf<0.025) differences related to trait “introversion”, orange indicating regions within the “frontoparietal control network”, and violet indicating regions within the “ventral attention”. Scatter plots depict the relationship between individual scores for “introversion” thought (x-axis) and average gradient score of all affected parcels (y-axis) within each gradient. Each datapoint is a participant. Both axes show standardized scores. Detailed results from individual parcels are reported in table 2. The right column shows Neurosynth decoding of ROI maps of affected parcels within each gradient, showing top ten positively correlated topic terms in red, and top ten negatively associated topic terms in blue.
Relationship between specific internal thought and the first three connectivity gradients
On the left, parcels within the first three gradients that show significant differences (pbonf<0.025) related to “specific internal” thought, green indicating regions within “dorsal attention network” (DAN), and purple indicating regions within the “visual network”. Scatter plots depict the relationship between individual scores for “specific internal” thought (x-axis) and average gradient score of all affected parcels (y-axis) within each gradient. Each datapoint is a participant. Both axes show standardized scores. Detailed results from individual parcels are reported in table 1. The right column shows Neurosynth decoding of ROI maps of affected parcels within each gradient, showing top ten positively correlated topic terms in red, and top ten negatively associated topic terms in blue.
List of personality/ dispositional trait questionnaires
Relationships between first three connectivity gradients and introversion and specific internal thought
Multidimensional Experience Sampling (MDES) Statements
Heatmap showing variable component loadings for the first 5 principal components derived from trait questionnaires
Heatmap showing variable component loadings for the first 5 principal components derived from MDES
