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. 2022 Feb 14;12:2449. doi: 10.1038/s41598-022-06509-9

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© The Author(s) 2022

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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THC induced feeling of subjective high connICA component. (A1) Drug differences in the individual subject weights associated with the connICA component (anova test, p < 0.01 Bonferroni corrected across the 20 robust components, see “Methods”) in association to subjective high in each drug condition (circles, THC; squares, placebo). The connICA component and subjective high ratings are strongly correlated (see “Methods” for details). (A2) The functional connectivity component extracted by connICA. Pairwise associations between brain regions are ordered by resting-state functional networks as proposed by Yeo et al.⁵². (A3) For clarity, the same component, depicted after averaging across functional networks, shows prominent connectivity within the DMN and attentional areas. (B1,B2) Nodal strength (sum over columns of (A2), including only: (B1) positive edges or (B2) negative edges) of the top 25% regions involved in the identified THC-differentiating component.