Mapping the semantic structure of cognitive neuroscience.
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Cognitive neuroscience, as a discipline, links the biological systems studied by neuroscience to the processing constructs studied by psychology. By mapping these relations throughout the literature of cognitive neuroscience, we visualize the semantic structure of the discipline and point to directions for future research that will advance its integrative goal. For this purpose, network text analyses were applied to an exhaustive corpus of abstracts collected from five major journals over a 30-month period, including every study that used fMRI to investigate psychological processes. From this, we generate network maps that illustrate the relationships among psychological and anatomical terms, along with centrality statistics that guide inferences about network structure. Three terms--prefrontal cortex, amygdala, and anterior cingulate cortex--dominate the network structure with their high frequency in the literature and the density of their connections with other neuroanatomical terms. From network statistics, we identify terms that are understudied compared with their importance in the network (e.g., insula and thalamus), are underspecified in the language of the discipline (e.g., terms associated with executive function), or are imperfectly integrated with other concepts (e.g., subdisciplines like decision neuroscience that are disconnected from the main network). Taking these results as the basis for prescriptive recommendations, we conclude that semantic analyses provide useful guidance for cognitive neuroscience as a discipline, both by illustrating systematic biases in the conduct and presentation of research and by identifying directions that may be most productive for future research.
Image Processing, Computer-Assisted
Magnetic Resonance Imaging
Published Version (Please cite this version)10.1162/jocn_a_00604
Publication InfoAppelbaum, Lawrence Gregory; Beam, E; Huettel, Scott; Jack, J; & Moody, James (2014). Mapping the semantic structure of cognitive neuroscience. J Cogn Neurosci, 26(9). pp. 1949-1965. 10.1162/jocn_a_00604. Retrieved from http://hdl.handle.net/10161/10645.
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Associate Professor in Psychiatry and Behavioral Sciences
Greg Appelbaum is an Associate Professor in the Department of Psychiatry and Behavioral Sciences in the Duke University School of Medicine. He is a member of the Brain Stimulation Division of Psychiatry, where he directs the Human Performance Optimization lab (Opti Lab) and the Brain Stimulation Research Center As a member
Professor in the Department of Psychology and Neuroscience
Research in my laboratory investigates the brain mechanisms underlying economic and social decision making; collectively, this research falls into the field of “decision neuroscience” or "neuroeconomics". My laboratory uses fMRI to probe brain function, behavioral assays to characterize individual differences, and other physiological methods (e.g., eye tracking, pharmacological manipulation, genetics) to link brain and behavior. Concurrent with research on basic processes, my labo
Professor in the Department of Sociology
James Moody is the Robert O. Keohane professor of sociology at Duke University. He has published extensively in the field of social networks, methods, and social theory. His work has focused theoretically on the network foundations of social cohesion and diffusion, with a particular emphasis on building tools and methods for understanding dynamic social networks. He has used network models to help understand school racial segregation, adolescent health, disease spread, economic development, a
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