Abstract #1965
            Perfusion based functional connectivity in autism reveals hypo-perfusion and altered connectivity of the Default Mode Network associated with increased symptom severity
                      Kay Jann                     1                    , Devora Beck-Pancer                     2                    , 						Emily Kilroy                     3                    , Mirella Dapretto                     4                    , 						and Danny JJ Wang                     1          
            
            1
           
           Department of Neurology, University of 
						California, Los Angeles, Los Angeles, California, United 
						States,
           
            2
           
           ) 
						Department of Psychiatry and Biobehavioral Sciences, 
						University of California, Los Angeles, Los Angeles, 
						California, United States,
           
            3
           
           Division 
						of Occupational Science, University of Southern 
						California, Los Angeles, California, United States,
           
            4
           
           Department 
						of Psychiatry and Biobehavioral Sciences, University of 
						California, Los Angeles, Los Angeles, California, United 
						States
          
            
          The aim of the present study was to characterize 
						abnormal patterns of resting state network perfusion and 
						functional connectivity using pseudo-continuous ASL (pCASL) 
						perfusion MRI. PCASL-based resting state networks and 
						their baseline perfusion were identified using ICA in 12 
						children with autism spectrum disorder (ASD). Our 
						results show that altered perfusion in the DMN is 
						related to autism symptom severity. Further, reduced DMN 
						perfusion is associated with altered connectivity of 
						anterior and posterior DMN, suggesting an association 
						between baseline activity within networks, their 
						connectivity and potentially alterations in stimulus 
						processing and/or development of clinical symptoms in 
						ASD.
         
				
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