Humans are biologically adapted to cultural environments they themselves create. Human brain and mind are therefore modified, shaped, and formed through one’s active engagement in a variety of sociocultural contexts. Understanding the interplay between culture and human brain function is a necessary step for uncovering both the mechanisms underlying cultural processes and human brain responses to evolutionary/societal demands. Studies of mutual interactions between culture and human brain/mind require scientific studies from multiple disciplines to bridge the gap between natural sciences and humanities. This opens an avenue to understand both generalities of human nature and particularities of human practices.
Culture and Brain aims to provide a platform to publish empirical and review articles that focus on the interrelationship between culture and human brain. The Journal covers topics such as how the mutual interaction between culture and brain/mind influences human cognition and behaviour, what mechanisms underlie cultural experiences, and how the cultural diversity of human collectives is created. Submissions from both natural sciences and social sciences/humanities are encouraged, including (but not limited to) neuroscience, brain imaging, neurobiology, epigenetics, evolutionary biology, social psychology, cultural/cross-cultural psychology, anthropology, sociology, and philosophy. Submitted manuscripts may report empirical data of either behavioural or biology/neuroscience studies that examine how the interactions between the human brain and sociocultural contexts shape cognitive functions and their neural mechanisms. Studies of related topics in both normal and abnormal populations are appropriate. Review articles may present new concepts and theories about the mutual influences between the human brain and sociocultural environments. Articles published in this journal may employ empirical research methods of social sciences (e.g., behavioural measurements and questionnaires), neurosciences (e.g., brain imaging including fMRI, ERP, TMS, PET), physiology (e.g. heart rate variability, hormone levels, galvanic skin response) genetics (e.g., functional polymorphisms), computational modelling, or may employ sound theoretical analyses (e.g. sociology, philosophy).