Hardy, CJD;
            
              Agustus, JL;
            
              Marshall, CR;
            
              Clark, CN;
            
              Russell, LL;
            
              Brotherhood, EV;
            
              Bond, RL;
            
              Fiford, CM;
            
              Ondobaka, S;
            
              Thomas, DL;
            
            et al.
          
          
            Hardy, CJD; Agustus, JL; Marshall, CR; Clark, CN; Russell, LL; Brotherhood, EV; Bond, RL; Fiford, CM; Ondobaka, S; Thomas, DL; Crutch, SJ; Rohrer, JD; Warren, JD
          
        
    
  
(2017)
Functional neuroanatomy of speech signal decoding in primary progressive aphasias.
    Neurobiology of Aging, 56.
     pp. 190-201.
     ISSN 0197-4580
    https://doi.org/10.1016/j.neurobiolaging.2017.04.026
  
  
  
SGUL Authors: Clark, Camilla Neegaard
  
  
  
    
  
    
      
      
    
  
  
  
  
  
  
    Abstract
    The pathophysiology of primary progressive aphasias remains poorly understood. Here, we addressed this issue using activation fMRI in a cohort of 27 patients with primary progressive aphasia (nonfluent, semantic, and logopenic variants) versus 15 healthy controls. Participants listened passively to sequences of spoken syllables in which we manipulated 3-key auditory speech signal characteristics: temporal regularity, phonemic spectral structure, and pitch sequence entropy. Relative to healthy controls, nonfluent variant patients showed reduced activation of medial Heschl's gyrus in response to any auditory stimulation and reduced activation of anterior cingulate to temporal irregularity. Semantic variant patients had relatively reduced activation of caudate and anterior cingulate in response to increased entropy. Logopenic variant patients showed reduced activation of posterior superior temporal cortex to phonemic spectral structure. Taken together, our findings suggest that impaired processing of core speech signal attributes may drive particular progressive aphasia syndromes and could index a generic physiological mechanism of reduced computational efficiency relevant to all these syndromes, with implications for development of new biomarkers and therapeutic interventions.
  
   
  
  
  
  
  
  
    
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