Literature DB >> 30941791

The cingulum and cingulate U-fibers in children and adolescents with autism spectrum disorders.

Janice Hau1, Saba Aljawad1, Nicole Baggett1, Inna Fishman1, Ruth A Carper1, Ralph-Axel Müller1.   

Abstract

The cingulum is the major fiber system connecting the cingulate and surrounding medial cortex and medial temporal lobe internally and with other brain areas. It is important for social and emotional functions related to core symptomatology in autism spectrum disorders (ASDs). While the cingulum has been examined in autism, the extensive system of cingulate U-fibers has not been studied. Using probabilistic tractography, we investigated white matter fibers of the cingulate cortex by distinguishing its deep intra-cingulate bundle (cingulum proper) and short rostral anterior, caudal anterior, posterior, and isthmus cingulate U-fibers in 61 ASD and 54 typically developing children and adolescents. Increased mean and radial diffusivity of the left cingulum proper was observed in the ASD group, replicating previous findings on the cingulum. For cingulate U-fibers, an atypical age-related decline in right posterior cingulate U-fiber volume was found in the ASD group, which appeared to be driven by an abnormally large volume in younger children. History of repetitive and restrictive behavior was negatively associated with right caudal anterior cingulate U-fiber volume, linking cingulate motor areas with neighboring gyri. Aberrant development in U-fiber volume of the right posterior cingulate gyrus may underlie functional abnormalities found in this region, such as in the default mode network.
© 2019 Wiley Periodicals, Inc.

Entities:  

Keywords:  U-fibers; autism; cingulum; diffusion imaging; tractography; white matter

Mesh:

Year:  2019        PMID: 30941791      PMCID: PMC6865481          DOI: 10.1002/hbm.24586

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


  72 in total

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  7 in total

1.  The cingulum and cingulate U-fibers in children and adolescents with autism spectrum disorders.

Authors:  Janice Hau; Saba Aljawad; Nicole Baggett; Inna Fishman; Ruth A Carper; Ralph-Axel Müller
Journal:  Hum Brain Mapp       Date:  2019-04-02       Impact factor: 5.038

2.  Diagnosing autism spectrum disorder in children using conventional MRI and apparent diffusion coefficient based deep learning algorithms.

Authors:  Xiang Guo; Jiehuan Wang; Xiaoqiang Wang; Wenjing Liu; Hao Yu; Li Xu; Hengyan Li; Jiangfen Wu; Mengxing Dong; Weixiong Tan; Weijian Chen; Yunjun Yang; Yueqin Chen
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7.  Deviation from normative brain development is associated with symptom severity in autism spectrum disorder.

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