TRINITY

Code and data for:
Li, Z., Dong, Q., Hu, B., & Wu, H. (2023). Every individual makes a difference: A trinity derived from linking individual brain morphometry, connectivity and mentalising ability. Human Brain Mapping, 44(8), 3343-3358.
https://doi.org/10.1002/hbm.26285

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Outreach

• A poster for the Social & Affective Neuroscience Society (SANS) Annual Meeting 2022 is available on ResearchGate.
• A 4.6-minute video for the SANS 2022 is available on YouTube. The related slides are available on ResearchGate.
• The slides for 2022 National Doctoral Forum on Brain-Computer Intelligence and Psychology are available here.
• A poster for the 3rd Macau Symposium on Cognitive and Brain Sciences is available on ResearchGate.
• Social media: Twitter, Mastodon, WeChat (In Chinese: ANDlab, brainnews, Wiley NeuroPsycho).
• IMQ: Interactive mentalisation questionnaire.
• Previous resting-network study.

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Structure

root
 ├── data               # Preprocessed regression data & psychometric data & morphometry data & rs-FC data
 │    ├── dra 
 │    ├── imq 
 │    ├── mms
 │    └── rsfc
 ├── bs_log             # Bootstrapping results
 │    ├── IMQ-MMS
 │    ├── IMQ-rsFC
 │    └── rsFC-MMS
 ├── util.py            # To provide various basic functions
 ├── bootstrap.py       # To conduct subject-wise bootstrapping 
 ├── eval.py            # To lay the foundation for later analyses
 ├── evaluation.ipynb   # To test Hypothesis 1 and Hypothesis 2
 ├── dra_data_pre.ipynb # To pave the way for dyadic regression analysis (dra)
 ├── dra.ipynb          # To test Hypothesis 3 and plot figure 7
 ├── pipeline.ipynb     # To analyse the effects of different pipelines and plot figure 8
 ├── figure_2.ipynb     # To plot figure 2
 ├── figure_3.ipynb     # To plot figure 3
 ├── figure_9.ipynb     # To plot figure 9
 ├── early_view.png
 ├── LICENSE
 └── README.md

Note 1: to properly run all scripts, you may need to set the root of this repository as your working directory.
Note 2: to properly run the dyadic regression analysis, you may need to install Pymer4.
Note 3: to reproduce figure 3, you may need version 3.7 of Python.

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Citation

@article{li2023Trinity,
  author = {Zhaoning Li and Qunxi Dong and Bin Hu and Haiyan Wu},
  title = {Every individual makes a difference: A trinity derived from linking individual brain morphometry, connectivity and mentalising ability},
  journal = {Human Brain Mapping},
  volume = {44},
  number = {8},
  pages = {3343-3358},
  doi = {https://doi.org/10.1002/hbm.26285},
  url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/hbm.26285},
  year = {2023},
}

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For bug reports, please contact Zhaoning Li (yc17319@umac.mo, or @lizhn7).

Thanks to shields.io and Dr. Lei Zhang for the good example.

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LICENSE

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which gives you the right to re-use and adapt, as long as you note any changes you made, and provide a link to the original source.