Literature DB >> 35849311

Reading-related Brain Function Restored to Normal After Articulation Training in Patients with Cleft Lip and Palate: An fMRI Study.

Liwei Sun1,2,3, Wenjing Zhang4, Mengyue Wang5, Songjian Wang6,7,8, Zhen Li9, Cui Zhao1,2,3, Meng Lin10, Qian Si1,2,3, Xia Li1, Ying Liang1,2,3, Jing Wei1,2,3, Xu Zhang11,12,13, Renji Chen14, Chunlin Li15,16,17.   

Abstract

Cleft lip and/or palate (CLP) are the most common craniofacial malformations in humans. Speech problems often persist even after cleft repair, such that follow-up articulation training is usually required. However, the neural mechanism behind effective articulation training remains largely unknown. We used fMRI to investigate the differences in brain activation, functional connectivity, and effective connectivity across CLP patients with and without articulation training and matched normal participants. We found that training promoted task-related brain activation among the articulation-related brain networks, as well as the global attributes and nodal efficiency in the functional-connectivity-based graph of the network. Our results reveal the neural correlates of effective articulation training in CLP patients, and this could contribute to the future improvement of the post-repair articulation training program.
© 2022. Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences.

Entities:  

Keywords:  Articulation training; Functional connectivity; Graph-based network analysis; Non-syndromic cleft lip and palate; fMRI

Mesh:

Year:  2022        PMID: 35849311      PMCID: PMC9554179          DOI: 10.1007/s12264-022-00918-6

Source DB:  PubMed          Journal:  Neurosci Bull        ISSN: 1995-8218            Impact factor:   5.271


  55 in total

1.  The neural system underlying Chinese logograph reading.

Authors:  L H Tan; H L Liu; C A Perfetti; J A Spinks; P T Fox; J H Gao
Journal:  Neuroimage       Date:  2001-05       Impact factor: 6.556

2.  Methods to detect, characterize, and remove motion artifact in resting state fMRI.

Authors:  Jonathan D Power; Anish Mitra; Timothy O Laumann; Abraham Z Snyder; Bradley L Schlaggar; Steven E Petersen
Journal:  Neuroimage       Date:  2013-08-29       Impact factor: 6.556

3.  Mapping directed influence over the brain using Granger causality and fMRI.

Authors:  Alard Roebroeck; Elia Formisano; Rainer Goebel
Journal:  Neuroimage       Date:  2005-01-12       Impact factor: 6.556

4.  Dynamic causal modelling.

Authors:  K J Friston; L Harrison; W Penny
Journal:  Neuroimage       Date:  2003-08       Impact factor: 6.556

5.  Disrupted brain connectivity networks in drug-naive, first-episode major depressive disorder.

Authors:  Junran Zhang; Jinhui Wang; Qizhu Wu; Weihong Kuang; Xiaoqi Huang; Yong He; Qiyong Gong
Journal:  Biol Psychiatry       Date:  2011-08-15       Impact factor: 13.382

6.  Granger causality analysis in neuroscience and neuroimaging.

Authors:  Anil K Seth; Adam B Barrett; Lionel Barnett
Journal:  J Neurosci       Date:  2015-02-25       Impact factor: 6.167

7.  Changes of Effective Connectivity in the Alpha Band Characterize Differential Processing of Audiovisual Information in Cross-Modal Selective Attention.

Authors:  Weikun Niu; Yuying Jiang; Xin Zhang; Tianzi Jiang; Yujin Zhang; Shan Yu
Journal:  Neurosci Bull       Date:  2020-07-26       Impact factor: 5.203

8.  Increased incidence of a midline brain anomaly in patients with nonsyndromic clefts of the lip and/or palate.

Authors:  P Nopoulos; S Berg; D VanDemark; L Richman; J Canady; N C Andreasen
Journal:  J Neuroimaging       Date:  2001-10       Impact factor: 2.486

9.  Task-free MRI predicts individual differences in brain activity during task performance.

Authors:  I Tavor; O Parker Jones; R B Mars; S M Smith; T E Behrens; S Jbabdi
Journal:  Science       Date:  2016-04-07       Impact factor: 47.728

10.  rsHRF: A toolbox for resting-state HRF estimation and deconvolution.

Authors:  Guo-Rong Wu; Nigel Colenbier; Sofie Van Den Bossche; Kenzo Clauw; Amogh Johri; Madhur Tandon; Daniele Marinazzo
Journal:  Neuroimage       Date:  2021-09-21       Impact factor: 6.556

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