Semantic brain atlas created with fMRI

Jack Gallant and Berkeley colleagues have used fMRI to understand how language-related information is represented and processed in the human brain.  Brain blood flow changes were measured once every second, as subjects listened to natural narrative stories. Mathematical models and big data analysis were used to create detailed maps, showing how different aspects of language are represented in different brain locations.

Gallant hopes that this research will be used in the future to help stroke patients recover language skills, design faster computers, and to create brain computer interfaces to allow communication without speech.

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NeuroTech NYC – June 8, 2016 @ the New York Academy of Sciences

Wearable Tech + Digital Health NYC – June 7, 2016 @ the New York Academy of Sciences