>
Fa   |   Ar   |   En
   Getting the word out: Neural correlates of enthusiastic message propagation  
   
نویسنده falk e.b. ,o'donnell m.b. ,lieberman m.d.
منبع frontiers in human neuroscience - 2012 - شماره : OCTOBER 2012
چکیده    What happens in the mind of a person who first hears a potentially exciting idea? we examined the neural precursors of spreading ideas with enthusiasm,and dissect enthusiasm into component processes that can be identified through automated linguistic analysis,gestalt human ratings of combined linguistic and non-verbal cues,and points of convergence/divergence between the two. we combined tools from natural language processing with data gathered using fmri,to link the neurocognitive mechanisms that are set in motion during initial exposure to ideas and subsequent behaviors of these message communicators outside of the scanner. participants' neural activity was recorded as they reviewed ideas for potential television show pilots. participants' language from video-taped interviews collected post-scan was transcribed and given to an automated linguistic sentiment analysis classifier,which returned ratings for evaluative language (evaluative vs. descriptive) and valence (positive vs. negative). separately,human coders rated the enthusiasm with which participants transmitted each idea. more positive sentiment ratings by the automated classifier were associated with activation in neural regions including medial prefrontal cortex; mpfc,precuneus/posterior cingulate cortex; pc/pcc,and medial temporal lobe; mtl. more evaluative,positive,descriptions were associated exclusively with neural activity in temporal parietal junction (tpj). finally,human ratings indicative of more enthusiastic sentiment were associated with activation across these regions (mpfc,pc/pcc,dmpfc,tpj,mtl) as well as in ventral striatum,inferior parietal lobule and premotor cortex. taken together,these data demonstrate novel links between neural activity during initial idea encoding and the enthusiasm with which the ideas are subsequently delivered. these data also demonstrate the novel use of machine learning tools to link natural language data to neuroimaging data. © 2012 falk,o_donnell and lieberman.
کلیدواژه Enthusiasm; FMRI; Information diffusion; Natural Language Processing; Self-related processing; Sentiment analysis; Social cognition
آدرس department of communication,university of michigan,5234 institute for social research,426 thompson st,ann arbor,mi 48104,united states,institute for social research university, United States, institute for social research university, United States, department of psychology,psychiatry and biobehavioral sciences,university of california,los angeles,ca, United States
 
     
   
Authors
  
 
 

Copyright 2023
Islamic World Science Citation Center
All Rights Reserved