Literature DB >> 21931296

Probing the brain in autism using FMRI and diffusion tensor imaging.

Rajesh K Kana1, Donna L Murdaugh, Lauren E Libero, Mark R Pennick, Heather M Wadsworth, Rishi Deshpande, Christi P Hu.   

Abstract

Newly emerging theories suggest that the brain does not function as a cohesive unit in autism, and this discordance is reflected in the behavioral symptoms displayed by individuals with autism. While structural neuroimaging findings have provided some insights into brain abnormalities in autism, the consistency of such findings is questionable. Functional neuroimaging, on the other hand, has been more fruitful in this regard because autism is a disorder of dynamic processing and allows examination of communication between cortical networks, which appears to be where the underlying problem occurs in autism. Functional connectivity is defined as the temporal correlation of spatially separate neurological events. Findings from a number of recent fMRI studies have supported the idea that there is weaker coordination between different parts of the brain that should be working together to accomplish complex social or language problems. One of the mysteries of autism is the coexistence of deficits in several domains along with relatively intact, sometimes enhanced, abilities. Such complex manifestation of autism calls for a global and comprehensive examination of the disorder at the neural level. A compelling recent account of the brain functioning in autism, the cortical underconnectivity theory, provides an integrating framework for the neurobiological bases of autism. The cortical underconnectivity theory of autism suggests that any language, social, or psychological function that is dependent on the integration of multiple brain regions is susceptible to disruption as the processing demand increases. In autism, the underfunctioning of integrative circuitry in the brain may cause widespread underconnectivity. In other words, people with autism may interpret information in a piecemeal fashion at the expense of the whole. Since cortical underconnectivity among brain regions, especially the frontal cortex and more posterior areas, has now been relatively well established, we can begin to further understand brain connectivity as a critical component of autism symptomatology. A logical next step in this direction is to examine the anatomical connections that may mediate the functional connections mentioned above. Diffusion Tensor Imaging (DTI) is a relatively novel neuroimaging technique that helps probe the diffusion of water in the brain to infer the integrity of white matter fibers. In this technique, water diffusion in the brain is examined in several directions using diffusion gradients. While functional connectivity provides information about the synchronization of brain activation across different brain areas during a task or during rest, DTI helps in understanding the underlying axonal organization which may facilitate the cross-talk among brain areas. This paper will describe these techniques as valuable tools in understanding the brain in autism and the challenges involved in this line of research.

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Year:  2011        PMID: 21931296      PMCID: PMC3230175          DOI: 10.3791/3178

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  12 in total

1.  Functional connectivity between cognitive control regions is sensitive to familial risk for ADHD.

Authors:  Martijn J Mulder; Janna van Belle; Herman van Engeland; Sarah Durston
Journal:  Hum Brain Mapp       Date:  2010-11-12       Impact factor: 5.038

2.  Dynamic task-specific brain network connectivity in children with severe reading difficulties.

Authors:  Michael Vourkas; Sifis Micheloyannis; Panagiotis G Simos; Roozbeh Rezaie; Jack M Fletcher; Paul T Cirino; Andrew C Papanicolaou
Journal:  Neurosci Lett       Date:  2010-11-10       Impact factor: 3.046

3.  Inhibitory control in high-functioning autism: decreased activation and underconnectivity in inhibition networks.

Authors:  Rajesh K Kana; Timothy A Keller; Nancy J Minshew; Marcel Adam Just
Journal:  Biol Psychiatry       Date:  2006-11-29       Impact factor: 13.382

Review 4.  Advances in functional and structural MR image analysis and implementation as FSL.

Authors:  Stephen M Smith; Mark Jenkinson; Mark W Woolrich; Christian F Beckmann; Timothy E J Behrens; Heidi Johansen-Berg; Peter R Bannister; Marilena De Luca; Ivana Drobnjak; David E Flitney; Rami K Niazy; James Saunders; John Vickers; Yongyue Zhang; Nicola De Stefano; J Michael Brady; Paul M Matthews
Journal:  Neuroimage       Date:  2004       Impact factor: 6.556

5.  Sentence comprehension in autism: thinking in pictures with decreased functional connectivity.

Authors:  Rajesh K Kana; Timothy A Keller; Vladimir L Cherkassky; Nancy J Minshew; Marcel Adam Just
Journal:  Brain       Date:  2006-07-10       Impact factor: 13.501

6.  Increased fractional anisotropy in white matter of the right frontal region in children with attention-deficit/hyperactivity disorder: a diffusion tensor imaging study.

Authors:  Qianqian Li; Jinhua Sun; Lanting Guo; Yufeng Zang; Zhengzhi Feng; Xiaoqi Huang; Hong Yang; Yating Lv; Mingjin Huang; Qiyong Gong
Journal:  Neuro Endocrinol Lett       Date:  2010       Impact factor: 0.765

7.  Autism, Asperger syndrome and brain mechanisms for the attribution of mental states to animated shapes.

Authors:  Fulvia Castelli; Chris Frith; Francesca Happé; Uta Frith
Journal:  Brain       Date:  2002-08       Impact factor: 13.501

8.  fMRI investigation of working memory for faces in autism: visual coding and underconnectivity with frontal areas.

Authors:  Hideya Koshino; Rajesh K Kana; Timothy A Keller; Vladimir L Cherkassky; Nancy J Minshew; Marcel Adam Just
Journal:  Cereb Cortex       Date:  2007-05-20       Impact factor: 5.357

9.  Cortical activation and synchronization during sentence comprehension in high-functioning autism: evidence of underconnectivity.

Authors:  Marcel Adam Just; Vladimir L Cherkassky; Timothy A Keller; Nancy J Minshew
Journal:  Brain       Date:  2004-06-23       Impact factor: 13.501

10.  Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data.

Authors:  Stephen M Smith; Mark Jenkinson; Heidi Johansen-Berg; Daniel Rueckert; Thomas E Nichols; Clare E Mackay; Kate E Watkins; Olga Ciccarelli; M Zaheer Cader; Paul M Matthews; Timothy E J Behrens
Journal:  Neuroimage       Date:  2006-04-19       Impact factor: 6.556

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  4 in total

1.  Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques.

Authors:  Julie M Schneider; Anqi Hu; Jennifer Legault; Zhenghan Qi
Journal:  J Vis Exp       Date:  2020-06-30       Impact factor: 1.355

Review 2.  Multimodal interactions in typically and atypically developing children: natural versus artificial environments.

Authors:  Irini Giannopulu
Journal:  Cogn Process       Date:  2013-05-21

3.  Minimalistic toy robot to analyze a scenery of speaker-listener condition in autism.

Authors:  Irini Giannopulu; Valérie Montreynaud; Tomio Watanabe
Journal:  Cogn Process       Date:  2016-02-12

4.  Walk like me, talk like me. The connection between mirror neurons and autism spectrum disorder.

Authors:  Jillian M Saffin; Hassaan Tohid
Journal:  Neurosciences (Riyadh)       Date:  2016-04       Impact factor: 0.906

  4 in total

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