TY - JOUR
T1 - Harnessing Prefrontal Cognitive Signals for Brain–Machine Interfaces
AU - Min, Byoung-Kyong
AU - Chavarriaga, Ricardo
AU - Millán, José del R.
N1 - Funding Information:
This work was supported by the Basic Science Research program funded by the Ministry of Science, ICT, and Future Planning through the National Research Foundation of Korea (grant number 2015R1A1A1A05027233) and the Swiss National Center of Competence in Research (NCCR) Robotics.
Publisher Copyright:
© 2017 Elsevier Ltd
PY - 2017/7
Y1 - 2017/7
N2 - Brain–machine interfaces (BMIs) enable humans to interact with devices by modulating their brain signals. Despite impressive technological advancements, several obstacles remain. The most commonly used BMI control signals are derived from the brain areas involved in primary sensory- or motor-related processing. However, these signals only reflect a limited range of human intentions. Therefore, additional sources of brain activity for controlling BMIs need to be explored. In particular, higher-order cognitive brain signals, specifically those encoding goal-directed intentions, are natural candidates for enlarging the repertoire of BMI control signals and making them more efficient and intuitive. Thus, here, we identify the prefrontal brain area as a key target region for future BMIs, given its involvement in higher-order, goal-oriented cognitive processes.
AB - Brain–machine interfaces (BMIs) enable humans to interact with devices by modulating their brain signals. Despite impressive technological advancements, several obstacles remain. The most commonly used BMI control signals are derived from the brain areas involved in primary sensory- or motor-related processing. However, these signals only reflect a limited range of human intentions. Therefore, additional sources of brain activity for controlling BMIs need to be explored. In particular, higher-order cognitive brain signals, specifically those encoding goal-directed intentions, are natural candidates for enlarging the repertoire of BMI control signals and making them more efficient and intuitive. Thus, here, we identify the prefrontal brain area as a key target region for future BMIs, given its involvement in higher-order, goal-oriented cognitive processes.
KW - brain–machine interface
KW - cognition
KW - electroencephalography
KW - prefrontal cortex
UR - http://www.scopus.com/inward/record.url?scp=85017342837&partnerID=8YFLogxK
U2 - 10.1016/j.tibtech.2017.03.008
DO - 10.1016/j.tibtech.2017.03.008
M3 - Review article
C2 - 28389030
AN - SCOPUS:85017342837
SN - 0167-7799
VL - 35
SP - 585
EP - 597
JO - Trends in Biotechnology
JF - Trends in Biotechnology
IS - 7
ER -