โ€œText2Brain: Synthesis of Brain Activation Maps from Free-Form Text Queryโ€, Gia H. Ngo, Minh Nguyen, Nancy F. Chen, Mert R. Sabuncu2021-09-28 (, , ; similar)โ :

Most neuroimaging experiments are under-powered, limited by the number of subjects and cognitive processes that an individual study can investigate. Nonetheless, over decades of research, neuroscience has accumulated an extensive wealth of results. It remains a challenge to digest this growing knowledge base and obtain new insights since existing meta-analytic tools are limited to keyword queries.

In this work, we propose Text2Brain, a neural network approach for coordinate-based meta-analysis of neuroimaging studies to synthesize brain activation maps from open-ended text queries. Combining a transformer-based text encoder and a 3D image generator, Text2Brain was trained on variable-length text snippets and their corresponding activation maps sampled from 13,000 published neuroimaging studies.

We demonstrate that Text2Brain can synthesize anatomically-plausible neural activation patterns from free-form textual descriptions of cognitive concepts.

Text2Brain is available at https://braininterpreter.com/?q=thinking+out+loud as a web-based tool for retrieving established priors and generating new hypotheses for neuroscience research.