인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Human eating behavior is a complex interplay of biological, psychological, and social factors. Electroencephalography (EEG), a non-invasive method for measuring brain activity, has become a useful tool for understanding the neural processes involved in food-related cognition. This review summarizes how EEG can assess brain responses to various food stimuli, including taste, smell, and appearance, to reveal how the brain integrates sensory information from food and shapes our preferences and eating behaviors. The principles of EEG, experimental design, data analysis techniques common in food-related cognition, and recent advancements and key findings in this field are presented. In addition, future research directions, including the use of EEG in naturalistic eating environments and more sophisticated analysis techniques such as artificial intelligence, are suggested to provide a comprehensive view of food-related cognition. The development of these technologies can advance the food industry by better tailoring food products to consumer preferences and health needs.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.