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      White Matter Tract-Cognitive Relationships in Children with High-Functioning Autism Spectrum Disorder

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          Abstract

          Objective

          The purpose of the present study was to clarify the relationship between white matter tracts and cognitive symptoms in children with high-functioning autism spectrum disorder (ASD).

          Methods

          We examined the cognitive functions of 17 children with high-functioning ASD and 18 typically developing (TD) controls and performed diffusion tensor imaging (DTI) tractography. We compared the results between the groups and investigated the correlations between the cognitive scores and DTI parameters within each group.

          Results

          The Comprehension scores in the ASD group exhibited a positive correlation with mean diffusivity (MD) in the forceps minor (F minor). In the TD group, the Comprehension scores were positively correlated with fractional anisotropy (FA) in the right inferior fronto-occipital fasciculus (IFO) and left anterior thalamic radiation (ATR), and negatively correlated with MD in the left ATR, radial diffusivity (RD) in the right IFO, and RD in the left ATR. Additionally, a positive correlation was observed between the Matching Numbers scores and MD in the left uncinate fasciculus and F minor, and RD in the F minor. Furthermore, the Sentence Questions scores exhibited a positive correlation with RD in the right inferior longitudinal fasciculus. Relative to TD controls, the specific tract showing a strong correlation with the cognitive scores was reduced in the ASD group.

          Conclusion

          Our findings indicate that white matter tracts connecting specific brain areas may exhibit a weaker relationship with cognitive functions in children with ASD, resulting in less efficient cognitive pathways than those observed in TD children.

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          Most cited references47

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          Principles of diffusion tensor imaging and its applications to basic neuroscience research.

          The brain contains more than 100 billion neurons that communicate with each other via axons for the formation of complex neural networks. The structural mapping of such networks during health and disease states is essential for understanding brain function. However, our understanding of brain structural connectivity is surprisingly limited, due in part to the lack of noninvasive methodologies to study axonal anatomy. Diffusion tensor imaging (DTI) is a recently developed MRI technique that can measure macroscopic axonal organization in nervous system tissues. In this article, the principles of DTI methodologies are explained, and several applications introduced, including visualization of axonal tracts in myelin and axonal injuries as well as human brain and mouse embryonic development. The strengths and limitations of DTI and key areas for future research and development are also discussed.
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            Cortical activation and synchronization during sentence comprehension in high-functioning autism: evidence of underconnectivity.

            The brain activation of a group of high-functioning autistic participants was measured using functional MRI during sentence comprehension and the results compared with those of a Verbal IQ-matched control group. The groups differed in the distribution of activation in two of the key language areas. The autism group produced reliably more activation than the control group in Wernicke's (left laterosuperior temporal) area and reliably less activation than the control group in Broca's (left inferior frontal gyrus) area. Furthermore, the functional connectivity, i.e. the degree of synchronization or correlation of the time series of the activation, between the various participating cortical areas was consistently lower for the autistic than the control participants. These findings suggest that the neural basis of disordered language in autism entails a lower degree of information integration and synchronization across the large-scale cortical network for language processing. The article presents a theoretical account of the findings, related to neurobiological foundations of underconnectivity in autism.
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              Estimation of the effective self-diffusion tensor from the NMR spin echo.

              The diagonal and off-diagonal elements of the effective self-diffusion tensor, Deff, are related to the echo intensity in an NMR spin-echo experiment. This relationship is used to design experiments from which Deff is estimated. This estimate is validated using isotropic and anisotropic media, i.e., water and skeletal muscle. It is shown that significant errors are made in diffusion NMR spectroscopy and imaging of anisotropic skeletal muscle when off-diagonal elements of Deff are ignored, most notably the loss of information needed to determine fiber orientation. Estimation of Deff provides the theoretical basis for a new MRI modality, diffusion tensor imaging, which provides information about tissue microstructure and its physiologic state not contained in scalar quantities such as T1, T2, proton density, or the scalar apparent diffusion constant.
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                Author and article information

                Journal
                Psychiatry Investig
                Psychiatry Investig
                PI
                Psychiatry Investigation
                Korean Neuropsychiatric Association
                1738-3684
                1976-3026
                March 2019
                21 March 2019
                : 16
                : 3
                : 220-233
                Affiliations
                [1 ]United Graduate School of Child Development, Osaka University, Osaka, Japan
                [2 ]Molecular Research Center for Children’s Mental Development, Osaka University Graduate School of Medicine, Osaka, Japan
                [3 ]Department of Pediatrics, Osaka University Graduate School of Medicine, Osaka, Japan
                [4 ]Department of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, Osaka, Japan
                Author notes
                Correspondence: Kuriko Kagitani-Shimono, MD, PhD United Graduate School of Child Development, Osaka University, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan Tel: +81-6-6879-3863, Fax: +81-6-6879-3863 E-mail: kuriko@ 123456ped.med.osaka-u.ac.jp
                Article
                pi-2019-01-16
                10.30773/pi.2019.01.16
                6444094
                30934190
                16b12430-cc4d-45bc-9f55-d436bdbf616d
                Copyright © 2019 Korean Neuropsychiatric Association

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 2 May 2018
                : 3 November 2018
                : 16 January 2019
                Categories
                Original Article

                Clinical Psychology & Psychiatry
                high-function autism,diffusion tensor imaging,white matter,cognition

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