• DocumentCode
    2233643
  • Title

    Assessment of functional connectivity in autistic brain fMRI

  • Author

    Sandhya C ; Vidhusha S ; Gayathri R S ; Sneha Priya B ; Kavitha A

  • Author_Institution
    Department of Bio-Medical Engineering, Centre for Healthcare Technologies, SSN College of Engineering, Kalavakkam, Chennai, India
  • fYear
    2015
  • fDate
    6-8 July 2015
  • Firstpage
    169
  • Lastpage
    174
  • Abstract
    Autism spectrum disorders (ASD) are associated with disturbances of neural connectivity. Functional connectivity is typically examined within the context of a cognitive task, but also exists in the absence of a task (i.e., “rest”). Connectivity during rest is particularly active in a set of structures called the default network, which includes the posterior cingulate cortex (PCC), lateral parietal cortex/angular gyrus, medical prefrontal cortex, superior frontal gyrus and temporal lobe. Literature suggests that adults with ASD relative to controls show weaker connectivity within the default mode network, indicating that poorer social skills and increases in restricted and repetitive behaviors and interests correlated with weaker connectivity whereas poorer verbal and non-verbal communication correlated with stronger connectivity in multiple areas of the default network. This work has been validated by computing the statistical measures, Granger Causality (GC) and Conditional Granger Causality (CGC) and performing T-tests. Results show that as connectivity decreases, correspondingly the GC and CGC values also get decreased. They are found to be proportional in their relationship. Finally, the results have found to be clinically relevant in the current trends of diagnosing autism in children.
  • Keywords
    Image segmentation; Motion segmentation; Pipelines; autism; fMRI; functional connectivity; resting state; task positive and task negative networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cognitive Informatics & Cognitive Computing (ICCI*CC), 2015 IEEE 14th International Conference on
  • Conference_Location
    Beijing, China
  • Print_ISBN
    978-1-4673-7289-3
  • Type

    conf

  • DOI
    10.1109/ICCI-CC.2015.7259382
  • Filename
    7259382