Predicting alcohol consumption from resting-state functional connectivity: Feature relevance and the potential of meta-matching

Marco Bottino, Michael N. Smolka, Justin Böhmer, B.T. Thomas Yeo, Patrick Bach, Falk Kiefer, Bernd Lenz, Andreas Heinz, Gianna Spitta, Annika Rosenthal, Kerstin Ritter, Roshan Prakash Rane, Shreyash Garg, Emanuel Schwarz, Unknown, Henrik Walter, Michael Marxen

Open source

DOI
10.64898/2026.10.19.759632
Published
2026-10-24
Container
Not recorded
Publisher
openRxiv
Open access
unknown

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BibTeX

@article{allodium:10.64898/2026.10.19.759632,
  title = {Predicting alcohol consumption from resting-state functional connectivity: Feature relevance and the potential of meta-matching},
  author = {Marco Bottino and Michael N. Smolka and Justin Böhmer and B.T. Thomas Yeo and Patrick Bach and Falk Kiefer and Bernd Lenz and Andreas Heinz and Gianna Spitta and Annika Rosenthal and Kerstin Ritter and Roshan Prakash Rane and Shreyash Garg and Emanuel Schwarz and Unknown and Henrik Walter and Michael Marxen},
  year = {2026},
  doi = {10.64898/2026.10.19.759632},
  url = {https://doi.org/10.64898/2026.10.19.759632}
}

RIS

TY  - JOUR
TI  - Predicting alcohol consumption from resting-state functional connectivity: Feature relevance and the potential of meta-matching
AU  - Marco Bottino
AU  - Michael N. Smolka
AU  - Justin Böhmer
AU  - B.T. Thomas Yeo
AU  - Patrick Bach
AU  - Falk Kiefer
AU  - Bernd Lenz
AU  - Andreas Heinz
AU  - Gianna Spitta
AU  - Annika Rosenthal
AU  - Kerstin Ritter
AU  - Roshan Prakash Rane
AU  - Shreyash Garg
AU  - Emanuel Schwarz
AU  - Unknown
AU  - Henrik Walter
AU  - Michael Marxen
PY  - 2026
DO  - 10.64898/2026.10.19.759632
UR  - https://doi.org/10.64898/2026.10.19.759632
ER  - 

APA

Bottino, M., Smolka, M. N., Böhmer, J., Yeo, B. T., Bach, P., Kiefer, F., Lenz, B., Heinz, A., Spitta, G., Rosenthal, A., Ritter, K., Rane, R. P., Garg, S., Schwarz, E., Unknown, Walter, H., & Marxen, M. (2026). Predicting alcohol consumption from resting-state functional connectivity: Feature relevance and the potential of meta-matching. https://doi.org/10.64898/2026.10.19.759632

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