Document Detail


Examining network dynamics after traumatic brain injury using the extended unified SEM approach.
MedLine Citation:
PMID:  23138853     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
The current study uses effective connectivity modeling to examine how individuals with traumatic brain injury (TBI) learn a new task. We make use of recent advancements in connectivity modeling (extended unified structural equation modeling, euSEM) and a novel iterative grouping procedure (Group Iterative Multiple Model Estimation, GIMME) in order to examine network flexibility after injury. The study enrolled 12 individuals sustaining moderate and severe TBI to examine the influence of task practice on connections between 8 network nodes (bilateral prefrontal cortex, anterior cingulate, inferior parietal lobule, and Crus I in the cerebellum). The data demonstrate alterations in networks from pre to post practice and differences in the models based upon distinct learning trajectories observed within the TBI sample. For example, better learning in the TBI sample was associated with diminished connectivity within frontal systems and increased frontal to parietal connectivity. These findings reveal the potential for using connectivity modeling and the euSEM to examine dynamic networks during task engagement and may ultimately be informative regarding when networks are moving in and out of periods of neural efficiency.
Authors:
F G Hillary; J D Medaglia; K M Gates; P C Molenaar; D C Good
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-11-10
Journal Detail:
Title:  Brain imaging and behavior     Volume:  -     ISSN:  1931-7565     ISO Abbreviation:  Brain Imaging Behav     Publication Date:  2012 Nov 
Date Detail:
Created Date:  2012-11-9     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101300405     Medline TA:  Brain Imaging Behav     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Affiliation:
Department of Psychology, The Pennsylvania State University, 347 Moore Building, University Park, PA, 16802, USA, fhillary@psu.edu.
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