Journal of Cognitive Neuroscience, Volume 25, Issue 1, Page 3, January 2013. more
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The human brain possesses a remarkable capacity to interpret and recall novel sounds as spoken language. These linguistic abilities arise from complex processing spanning a widely distributed cortical network and are characterized by marked individual variation. Recently, graph theoretical analysis has facilitated the exploration of how such aspects of large-scale brain functional organization may underlie cognitive performance. Brain functional networks are known to possess small-world topologies characterized by efficient global and local information transfer, but whether these properties relate to language learning abilities remains unknown. Here we applied graph theory to construct large-scale cortical functional networks from cerebral hemodynamic (fMRI) responses acquired during an auditory pitch discrimination task and found that such network properties were associated with participants' future success in learning words of an artificial spoken language. Successful learners possessed networks with re...
|Authors:||John Patrick Sheppard; Ji-Ping Wang; Patrick C. M. Wong|
|Journal:||Journal of Cognitive Neuroscience|
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In the long history of the study of the nervous system, there have been a number of major developments that involved radical and permanent changes in fundamental beliefs and assumptions about the nervous system and in tactics and strategies for studying it. These may be termed Revolutions i ... more
A classic finding of the psychology of memory is the “serial position effect.” Immediate free recall of a word list is more efficient for items presented early (primacy effect) or late (recency effect), with respect to those in the middle. In an event-related, randomized block design, we in ... more