Back to table of contents Previous article Next article LettersFull AccessDoes the “Dynamic Core” Approach Help to Manage Autistic Behavioral Disorders?Fatemeh Bakouie, Shahriar Gharibzadeh, and Farzad TowhidkhahFatemeh BakouieSearch for more papers by this author, Shahriar GharibzadehSearch for more papers by this author, and Farzad TowhidkhahSearch for more papers by this authorPublished Online:1 Jul 2011https://doi.org/10.1176/jnp.23.3.jnpe1AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack Citations ShareShare onFacebookTwitterLinked InEmail To the Editor: Autism is a neural development disorder in which some aspects of cognition, perception, and information-processing are disturbed. It seems that autistic patients have difficulties with processing complex situations. For example: 1) one main problem of autistic patients is their problematic involvement in social interactions, which are simply the hardest thing our brains have to process;1 2) motion sensitivity of autistic patients is significantly decreased for second-order (texture-defined) stimuli;2 3) auditory tests show that spectrally- and temporally dynamic tasks involving complex operations (evaluation, attention) are not performed appropriately in autistic persons.3 We suggest that the abovementioned autistic behaviors may be interpreted by the dynamic core hypothesis (DCH) of consciousness. According to the DCH, consciousness arises from a group of neurons (the dynamic core), whose dynamics are simultaneously differentiated and integrated. Based on this view, in conscious states, the dynamic core integrates different pieces of input information that have high entropy and variability, leading to conscious perception of these complex inputs.4 We suppose that ineffective dealing with complex stimuli in autistic patients may be the result of complexity-reduction in the dynamic core, which, in turn, leads to narrowing of consciousness. The cause of dynamic core complexity-reduction in autism may be related to some neurological findings: 1) some researchers suggest that atypical neural connectivity may lead to disturbed visual information-processing in autism;2 and 2) The gray matter in the brain of autistic patients is locally decreased in the mirror-neuron system (MNS) areas. MNS is supposed to be the basis of empathic behavior, which has a key role in social interactions. Moreover, cortical thinning of MNS in areas involved in emotion and social behavior was correlated with autism severity.5 We believe that behavioral treatment may help to repair the dynamic core defect in autistic patients. We propose that interacting with complex inputs at different levels of complexity must be taught to autistic patients. In accordance with our idea, some researchers have found that proper reward can increase response variability in autistic patients.6 This finding is a clue to increasing complex behaviors in autism as a result of proper training strategy. Meanwhile, newer studies in autism claim that “many educational approaches to autism have proceeded without a clear theoretical rationale.”7 We believe that using a DCH approach to managing autistic patients may be a beginning for dealing with this challenge.Neuromuscular Systems Laboratory, Biomedical Engineering Faculty, Amirkabir University of TechnologyCorrespondence: Shahriar Gharibzadeh, Neuromuscular Systems Laboratory, Biomedical Engineering Faculty, Amirkabir University of Technology, Somayyeh, Hafez, Tehran, Iran e-mail: [email protected]ac.ir1. Happé F , Ronald A , Plomin R : Time to give up on a single explanation for autism. Nature Neurosci 2006; 9:1218–1220Crossref, Medline, Google Scholar2. Bertone A , Mottron L , Jelenic P , et al.: Enhanced and diminished visuo-spatial information-processing in autism depends on stimulus complexity. Brain 2005; 128:2430–2441Crossref, Medline, Google Scholar3. Samson F , Mottron L , Jemel B , et al.: Can spectro-temporal complexity explain the autistic pattern of performance on auditory tasks? J Autism Dev Disord 2006, 36:65–76Crossref, Medline, Google Scholar4. Tononi GM , Edelman G , Sporns O : Complexity and coherency: integrating information in the brain. Trends Cogn Sci 1998; 2:474–484Crossref, Medline, Google Scholar5. Hadjikhani NM , Joseph R , Snyder J , et al.: Anatomical differences in the mirror neuron system and social cognition network in autism. Cerebral Cortex 2006; 16:1276–1282Crossref, Medline, Google Scholar6. Miller N , Neuringer A : Reinforcing variability in adolescents with autism. J Appl Behav Anal 2000; 33:151–165Crossref, Medline, Google Scholar7. Baron-Cohen S : The empathising-systemising theory of autism: implications for education. Tizard Learning Disability Review 2009; 4–13Crossref, Google Scholar FiguresReferencesCited byDetailsCited byNone Volume 23Issue 3 Summer 2011Pages E1-E1 Metrics PDF download History Published online 1 July 2011 Published in print 1 July 2011