Fig. 4: Thermoception–connectome-based lesion-symptom mapping (CLSM) results.
From: The contribution of cutaneous thermal signals to bodily self-awareness
We analysed the patients’ dysconnectivity matrices through a mass-univariate analysis to identify associations between parcel-to-parcel disconnections and thermoception. Maximum statistic permutation (n = 10,000) was employed on permuted behavioural data and the original disconnection data to assess the distribution of maximum statistics under the null hypothesis. To adopt a more conservative approach, we applied a one-sided corrected threshold for statistical significance at p < 0.01 by identifying the 99th percentile of permutation-derived maximum statistics. Results are visualised with the BrainNet Viewer (http://www.nitrc.org/projects/bnv/). The image presents the disconnections significantly associated with reduced thermoception. Dots indicate regions at the endpoints of significant disconnections.
