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Non-Invasive Brain-to-Brain Interface (BBI): Establishing Functional Links between Two Brains

Overview of attention for article published in PLOS ONE, April 2013
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Title
Non-Invasive Brain-to-Brain Interface (BBI): Establishing Functional Links between Two Brains
Published in
PLOS ONE, April 2013
DOI 10.1371/journal.pone.0060410
Pubmed ID
Authors

Seung-Schik Yoo, Hyungmin Kim, Emmanuel Filandrianos, Seyed Javid Taghados, Shinsuk Park

Abstract

Transcranial focused ultrasound (FUS) is capable of modulating the neural activity of specific brain regions, with a potential role as a non-invasive computer-to-brain interface (CBI). In conjunction with the use of brain-to-computer interface (BCI) techniques that translate brain function to generate computer commands, we investigated the feasibility of using the FUS-based CBI to non-invasively establish a functional link between the brains of different species (i.e. human and Sprague-Dawley rat), thus creating a brain-to-brain interface (BBI). The implementation was aimed to non-invasively translate the human volunteer's intention to stimulate a rat's brain motor area that is responsible for the tail movement. The volunteer initiated the intention by looking at a strobe light flicker on a computer display, and the degree of synchronization in the electroencephalographic steady-state-visual-evoked-potentials (SSVEP) with respect to the strobe frequency was analyzed using a computer. Increased signal amplitude in the SSVEP, indicating the volunteer's intention, triggered the delivery of a burst-mode FUS (350 kHz ultrasound frequency, tone burst duration of 0.5 ms, pulse repetition frequency of 1 kHz, given for 300 msec duration) to excite the motor area of an anesthetized rat transcranially. The successful excitation subsequently elicited the tail movement, which was detected by a motion sensor. The interface was achieved at 94.0±3.0% accuracy, with a time delay of 1.59±1.07 sec from the thought-initiation to the creation of the tail movement. Our results demonstrate the feasibility of a computer-mediated BBI that links central neural functions between two biological entities, which may confer unexplored opportunities in the study of neuroscience with potential implications for therapeutic applications.

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Geographical breakdown

Country Count As %
United States 9 3%
France 3 <1%
Germany 3 <1%
Italy 2 <1%
Spain 2 <1%
United Kingdom 2 <1%
Netherlands 1 <1%
Sweden 1 <1%
Canada 1 <1%
Other 6 2%
Unknown 281 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 65 21%
Researcher 52 17%
Student > Master 47 15%
Student > Bachelor 43 14%
Student > Doctoral Student 13 4%
Other 48 15%
Unknown 43 14%
Readers by discipline Count As %
Engineering 50 16%
Agricultural and Biological Sciences 45 14%
Neuroscience 42 14%
Computer Science 30 10%
Psychology 30 10%
Other 62 20%
Unknown 52 17%