The basic aim of this research study is to determine the advancement in brain-computer interface technology for enhancing neurological function. This research study is based on theoretical analysis also that numerical analysis related to the advancement of brain-computer interface technology. To determine the research study used smart PLS software and generated informative results the descriptive statistic, correlation coefficient values, the model fitness analysis, and significant analysis between them. The research study also determines the smart PLS Algorithm model between brain-computer interface technology and neurological function. The overall result found that the brain-computer interface technology shows positive and significantly associated with enhancing neurological function. For measuring the advancement, feature extraction considers as a sub-indicator between them. The neurological function shows negative, but it's a significant link with feature extractions.