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      The Atypical Effective Connectivity of Right Temporoparietal Junction in Autism Spectrum Disorder: A Multi-Site Study

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          Abstract

          Social function impairment is the core deficit of autism spectrum disorder (ASD). Although many studies have investigated ASD through a variety of neuroimaging tools, its brain mechanism of social function remains unclear due to its complex and heterogeneous symptoms. The present study aimed to use resting-state functional magnetic imaging data to explore effective connectivity between the right temporoparietal junction (RTPJ), one of the key brain regions associated with social impairment of individuals with ASD, and the whole brain to further deepen our understanding of the neuropathological mechanism of ASD. This study involved 1,454 participants from 23 sites from the Autism Brain Imaging Data Exchange (ABIDE) public dataset, which included 618 individuals with ASD and 836 with typical development (TD). First, a voxel-wise Granger causality analysis (GCA) was conducted with the RTPJ selected as the region of interest (ROI) to investigate the differences in effective connectivity between the ASD and TD groups in every site. Next, to obtain further accurate and representative results, an image-based meta-analysis was implemented to further analyze the GCA results of each site. Our results demonstrated abnormal causal connectivity between the RTPJ and the widely distributed brain regions and that the connectivity has been associated with social impairment in individuals with ASD. The current study could help to further elucidate the pathological mechanisms of ASD and provides a new perspective for future research.

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          Investigating Causal Relations by Econometric Models and Cross-spectral Methods

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            Power failure: why small sample size undermines the reliability of neuroscience.

            A study with low statistical power has a reduced chance of detecting a true effect, but it is less well appreciated that low power also reduces the likelihood that a statistically significant result reflects a true effect. Here, we show that the average statistical power of studies in the neurosciences is very low. The consequences of this include overestimates of effect size and low reproducibility of results. There are also ethical dimensions to this problem, as unreliable research is inefficient and wasteful. Improving reproducibility in neuroscience is a key priority and requires attention to well-established but often ignored methodological principles.
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              Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images

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                Author and article information

                Contributors
                Journal
                Front Neurosci
                Front Neurosci
                Front. Neurosci.
                Frontiers in Neuroscience
                Frontiers Media S.A.
                1662-4548
                1662-453X
                18 July 2022
                2022
                : 16
                : 927556
                Affiliations
                [1] 1School of Teacher Education, Zhejiang Normal University , Jinhua, China
                [2] 2Key Laboratory of Intelligent Education Technology and Application, Zhejiang Normal University , Jinhua, China
                [3] 3Department of Radiology, Changshu No. 2 People's Hospital, The Affiliated Changshu Hospital of Xuzhou Medical University , Changshu, China
                [4] 4School of Information and Electronics Technology, Jiamusi University , Jiamusi, China
                [5] 5School of Western Languages, Heilongjiang University , Harbin, China
                Author notes

                Edited by: Feng Liu, Tianjin Medical University General Hospital, China

                Reviewed by: Alexandre Rosa Franco, Nathan Kline Institute for Psychiatric Research, United States; Xiaozheng Liu, Wenzhou Medical University, China; Yu Zheng, Nanjing Medical University, China; Xia-An Bi, Hunan Normal University, China; Yuzheng Hu, Zhejiang University, China

                *Correspondence: Huayun Li lihuayun99@ 123456163.com

                This article was submitted to Brain Imaging Methods, a section of the journal Frontiers in Neuroscience

                †These authors have contributed equally to this work and share first authorship

                Article
                10.3389/fnins.2022.927556
                9340667
                35924226
                5a509fe6-3959-4e02-89c5-d6f600558fbc
                Copyright © 2022 Hao, Shi, Huang, Sun, Li, Gao, Li, Wang, Zhan, Ding, Jia and Li.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 24 April 2022
                : 21 June 2022
                Page count
                Figures: 1, Tables: 3, Equations: 0, References: 105, Pages: 10, Words: 8815
                Funding
                Funded by: National Natural Science Foundation of China, doi 10.13039/501100001809;
                Award ID: 82001898
                Categories
                Neuroscience
                Original Research

                Neurosciences
                autism spectrum disorder,temporoparietal junction,granger causality analysis,multi-site,image-based meta-analysis

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