Robust prediction of individual creative ability from brain functional connectivity

By Roger E. Beaty, Yoed N. Kenett, Alexander P. Christensen, Monica D. Rosenberg, Mathias Benedek, Qunlin Chen, Andreas Fink, Jiang Qiu, Thomas R. Kwapil, M. Kane and 1 more. Proceedings of the National Academy of Sciences of the United States of America, 2018

683 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Cognitive Neuroscience, Experimental and Cognitive Psychology

View Paper: https://www.semanticscholar.org/paper/5e44c38def3d27680201310e9d97a71dd2f1c37e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Roger E. Beaty
2. D. Johnson

In Cognitive Neuroscience

1. D. Johnson
2. Roger E. Beaty
3. Emmanuelle Volle
4. Paul J Silvia
5. Emily C. Nusbaum
6. Yoed N. Kenett
7. Miriam Faust
8. David Anaki

In Experimental and Cognitive Psychology

1. D. Johnson
2. Roger E. Beaty
3. Paul J Silvia
4. Emily C. Nusbaum
5. Yoed N. Kenett
6. Miriam Faust
7. David Anaki

Citations in the corpus

• Automating creativity assessment with SemDis: An open platform for computing semantic distance (2020, background): “…established experimental effect in the divergent thinking literature known as the serial order effect , the tendency for ideas to be rated as more original over time (Acar, Abdulla Alabbasi, Runco, & Beketayev, 2019; Beaty & Silvia, 2012; Christensen, Guilford, & Wilson, 1957; Hass & Beaty, 2018).”
• Time course of EEG power during creative problem‐solving with insight or remote thinking (2021, methodology): “…with previous studies using different methods showing the involvement of the left rostro-lateral PFC and executive control network in creativity (Beaty et al., 2015, 2016, 2018; Bendetowicz et al., 2018; Ovando-Tellez et al., 2022, 2023), in interaction with other networks (such as the default…”