Literature DB >> 16820239

Disordered connectivity in the autistic brain: challenges for the "new psychophysiology".

Gina Rippon1, Jon Brock, Caroline Brown, Jill Boucher.   

Abstract

In 2002, we published a paper [Brock, J., Brown, C., Boucher, J., Rippon, G., 2002. The temporal binding deficit hypothesis of autism. Development and Psychopathology 142, 209-224] highlighting the parallels between the psychological model of 'central coherence' in information processing [Frith, U., 1989. Autism: Explaining the Enigma. Blackwell, Oxford] and the neuroscience model of neural integration or 'temporal binding'. We proposed that autism is associated with abnormalities of information integration that is caused by a reduction in the connectivity between specialised local neural networks in the brain and possible overconnectivity within the isolated individual neural assemblies. The current paper updates this model, providing a summary of theoretical and empirical advances in research implicating disordered connectivity in autism. This is in the context of changes in the approach to the core psychological deficits in autism, of greater emphasis on 'interactive specialisation' and the resultant stress on early and/or low-level deficits and their cascading effects on the developing brain [Johnson, M.H., Halit, H., Grice, S.J., Karmiloff-Smith, A., 2002. Neuroimaging of typical and atypical development: a perspective from multiple levels of analysis. Development and Psychopathology 14, 521-536]. We also highlight recent developments in the measurement and modelling of connectivity, particularly in the emerging ability to track the temporal dynamics of the brain using electroencephalography (EEG) and magnetoencephalography (MEG) and to investigate the signal characteristics of this activity. This advance could be particularly pertinent in testing an emerging model of effective connectivity based on the balance between excitatory and inhibitory cortical activity [Rubenstein, J.L., Merzenich M.M., 2003. Model of autism: increased ratio of excitation/inhibition in key neural systems. Genes, Brain and Behavior 2, 255-267; Brown, C., Gruber, T., Rippon, G., Brock, J., Boucher, J., 2005. Gamma abnormalities during perception of illusory figures in autism. Cortex 41, 364-376]. Finally, we note that the consequence of this convergence of research developments not only enables a greater understanding of autism but also has implications for prevention and remediation.

Entities:  

Mesh:

Year:  2006        PMID: 16820239     DOI: 10.1016/j.ijpsycho.2006.03.012

Source DB:  PubMed          Journal:  Int J Psychophysiol        ISSN: 0167-8760            Impact factor:   2.997


  112 in total

1.  Altered distribution of hippocampal interneurons in the murine Down Syndrome model Ts65Dn.

Authors:  Samuel Hernández-González; Raúl Ballestín; Rosa López-Hidalgo; Javier Gilabert-Juan; José Miguel Blasco-Ibáñez; Carlos Crespo; Juan Nácher; Emilio Varea
Journal:  Neurochem Res       Date:  2014-11-16       Impact factor: 3.996

Review 2.  Neurophysiological and computational principles of cortical rhythms in cognition.

Authors:  Xiao-Jing Wang
Journal:  Physiol Rev       Date:  2010-07       Impact factor: 37.312

3.  Regional homogeneity of fMRI time series in autism spectrum disorders.

Authors:  Dinesh K Shukla; Brandon Keehn; Ralph Axel Müller
Journal:  Neurosci Lett       Date:  2010-04-08       Impact factor: 3.046

4.  Contrast sensitivity for motion detection and direction discrimination in adolescents with autism spectrum disorders and their siblings.

Authors:  Hwan Cui Koh; Elizabeth Milne; Karen Dobkins
Journal:  Neuropsychologia       Date:  2010-10-19       Impact factor: 3.139

5.  Associating neural alterations and genotype in autism and fragile x syndrome: incorporating perceptual phenotypes in causal modeling.

Authors:  Armando Bertone; Julie Hanck; Cary Kogan; Avi Chaudhuri; Kim Cornish
Journal:  J Autism Dev Disord       Date:  2010-12

6.  Tract-specific analyses of diffusion tensor imaging show widespread white matter compromise in autism spectrum disorder.

Authors:  Dinesh K Shukla; Brandon Keehn; Ralph-Axel Müller
Journal:  J Child Psychol Psychiatry       Date:  2010-11-12       Impact factor: 8.982

7.  In vivo 1H-magnetic resonance spectroscopy study of the attentional networks in autism.

Authors:  Silvia Bernardi; Evdokia Anagnostou; Jun Shen; Alexander Kolevzon; Joseph D Buxbaum; Eric Hollander; Patrick R Hof; Jin Fan
Journal:  Brain Res       Date:  2010-12-23       Impact factor: 3.252

Review 8.  From loci to networks and back again: anomalies in the study of autism.

Authors:  Ralph-Axel Müller
Journal:  Ann N Y Acad Sci       Date:  2008-12       Impact factor: 5.691

9.  Cxcr4 regulation of interneuron migration is disrupted in 22q11.2 deletion syndrome.

Authors:  Daniel W Meechan; Eric S Tucker; Thomas M Maynard; Anthony-Samuel LaMantia
Journal:  Proc Natl Acad Sci U S A       Date:  2012-10-22       Impact factor: 11.205

10.  Local functional overconnectivity in posterior brain regions is associated with symptom severity in autism spectrum disorders.

Authors:  Christopher Lee Keown; Patricia Shih; Aarti Nair; Nick Peterson; Mark Edward Mulvey; Ralph-Axel Müller
Journal:  Cell Rep       Date:  2013-11-07       Impact factor: 9.423

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.