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Zhan L, Gao Y, Huang L, Zhang H, Huang G, Wang Y, Sun J, Xie Z, Li M, Jia X, Cheng L, Yu Y. Brain functional connectivity alterations of Wernicke's area in individuals with autism spectrum conditions in multi-frequency bands: A mega-analysis. Heliyon 2024; 10:e26198. [PMID: 38404781 PMCID: PMC10884452 DOI: 10.1016/j.heliyon.2024.e26198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2023] [Revised: 02/05/2024] [Accepted: 02/08/2024] [Indexed: 02/27/2024] Open
Abstract
Characterized by severe deficits in communication, most individuals with autism spectrum conditions (ASC) experience significant language dysfunctions, thereby impacting their overall quality of life. Wernicke's area, a classical and traditional brain region associated with language processing, plays a substantial role in the manifestation of language impairments. The current study carried out a mega-analysis to attain a comprehensive understanding of the neural mechanisms underpinning ASC, particularly in the context of language processing. The study employed the Autism Brain Image Data Exchange (ABIDE) dataset, which encompasses data from 443 typically developing (TD) individuals and 362 individuals with ASC. The objective was to detect abnormal functional connectivity (FC) between Wernicke's area and other language-related functional regions, and identify frequency-specific altered FC using Wernicke's area as the seed region in ASC. The findings revealed that increased FC in individuals with ASC has frequency-specific characteristics. Further, in the conventional frequency band (0.01-0.08 Hz), individuals with ASC exhibited increased FC between Wernicke's area and the right thalamus compared with TD individuals. In the slow-5 frequency band (0.01-0.027 Hz), increased FC values were observed in the left cerebellum Crus II and the right lenticular nucleus, pallidum. These results provide novel insights into the potential neural mechanisms underlying communication deficits in ASC from the perspective of language impairments.
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Affiliation(s)
- Linlin Zhan
- School of Western Studies, Heilongjiang University, Harbin, China
| | - Yanyan Gao
- College of Teacher Education, Zhejiang Normal University, Jinhua, China
| | - Lina Huang
- Department of Radiology, Changshu No. 2 People's Hospital, The Affiliated Changshu Hospital of Xuzhou Medical University, Changshu, Jiangsu, China
| | - Hongqiang Zhang
- Department of Radiology, Changshu No. 2 People's Hospital, The Affiliated Changshu Hospital of Xuzhou Medical University, Changshu, Jiangsu, China
| | - Guofeng Huang
- School of Information and Electronics Technology, Jiamusi University, Jiamusi, China
| | - Yadan Wang
- School of Information and Electronics Technology, Jiamusi University, Jiamusi, China
| | - Jiawei Sun
- School of Information and Electronics Technology, Jiamusi University, Jiamusi, China
| | - Zhou Xie
- School of Information and Electronics Technology, Jiamusi University, Jiamusi, China
| | - Mengting Li
- College of Teacher Education, Zhejiang Normal University, Jinhua, China
| | - Xize Jia
- College of Teacher Education, Zhejiang Normal University, Jinhua, China
| | - Lulu Cheng
- School of Foreign Studies, China University of Petroleum (East China), Qingdao, China
- Shanghai Center for Research in English Language Education, Shanghai International Studies University, Shanghai, China
| | - Yang Yu
- Psychiatry Department, The Second Affiliated Hospital Zhejiang University School of Medicine, Zhejiang, Hangzhou, China
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Trapani JA, Murdaugh DL. Processing efficiency in pediatric cancer survivors: A review and operationalization for outcomes research and clinical utility. Brain Behav 2022; 12:e2809. [PMID: 36330565 PMCID: PMC9759139 DOI: 10.1002/brb3.2809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 09/27/2022] [Accepted: 10/11/2022] [Indexed: 11/06/2022] Open
Abstract
OBJECTIVE Childhood cancer and cancer-related treatments disrupt brain development and maturation, placing survivors at risk for cognitive late effects. Given that assessment tools vary widely across researchers and clinicians, it has been daunting to identify distinct patterns in outcomes across diverse cancer types and to implement systematic neurocognitive screening tools. This review aims to operationalize processing efficiency skill impairment-or inefficient neural processing as measured by working memory and processing speed abilities-as a worthwhile avenue for continued study within the context of childhood cancer. METHODS A comprehensive literature review was conducted to examine the existing research on cognitive late effects and biopsychosocial risk factors in order to conceptualize processing efficiency skill trends in childhood cancer survivors. RESULTS While a frequently reported pattern of neurobiological (white matter) and cognitive (working memory and processing speed) disruption is consistent with processing efficiency skill impairment, these weaknesses have not yet been fully operationalized in this population. We offer a theoretical model that highlights the impacts of a host of biological and environmental factors on the underlying neurobiological substrates of cancer survivors that precede and may even predict long-term cognitive outcomes and functional abilities following treatment. CONCLUSION The unified construct of processing efficiency may be useful in assessing and communicating neurocognitive skills in both outcomes research and clinical practice. Deficits in processing efficiency may serve as a possible indicator of cognitive late effects and functional outcomes due to the unique relationship between processing efficiency skills and neurobiological disruption following cancer treatment. Continued research along these lines is crucial for advancing childhood cancer outcomes research and improving quality of life for survivors.
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Affiliation(s)
- Julie A Trapani
- Department of Psychology, University of Alabama at Birmingham, Birmingham, Alabama
| | - Donna L Murdaugh
- Department of Pediatrics, University of Alabama at Birmingham, Birmingham, Alabama
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Cheng L, Zhan L, Huang L, Zhang H, Sun J, Huang G, Wang Y, Li M, Li H, Gao Y, Jia X. The atypical functional connectivity of Broca's area at multiple frequency bands in autism spectrum disorder. Brain Imaging Behav 2022; 16:2627-2636. [PMID: 36163448 DOI: 10.1007/s11682-022-00718-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/15/2022] [Indexed: 11/30/2022]
Abstract
As a developmental disorder, autism spectrum disorder (ASD) has drawn much attention due to its severe impacts on one's language capacity. Broca's area, an important brain region of the language network, is largely involved in language-related functions. Using the Autism Brain Image Data Exchange (ABIDE) dataset, a mega-analysis was performed involving a total of 1454 participants (including 618 individuals with ASD and 836 healthy controls (HCs). To detect the neural pathophysiological mechanism of ASD from the perspective of language, we conducted a functional connectivity (FC) analysis with Broca's area as the seed in multiple frequency bands (conventional: 0.01-0.08 Hz; slow-4: 0.027-0.073 Hz; slow-5: 0.01-0.027 Hz). We found that compared with HC, ASD patients demonstrated increased FC in the left thalamus, left precuneus, left anterior cingulate and paracingulate gyri, and left medial orbital of the superior frontal gyrus in the conventional frequency band (0.01-0.08 Hz). The results of the slow-5 frequency band (0.01-0.027 Hz) presented increased FC values of the left precuneus, left medial orbital of the superior frontal gyrus, right medial orbital of the superior frontal gyrus and right thalamus. No significant cluster was detected in the slow-4 frequency band (0.027-0.073 Hz). In conclusion, the abnormal functional connectivity in patients with ASD has frequency-specific properties. Furthermore, the slow-5 frequency band (0.01-0.027 Hz) mainly contributed to the findings of the conventional frequency band (0.01-0.08 Hz). The current study might shed new light on the neural pathophysiological mechanism of language impairments in people with ASD.
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Affiliation(s)
- Lulu Cheng
- School of Foreign Studies, China University of Petroleum (East China), Qingdao, 266580, China.,Shanghai Center for Research in English Language Education, Shanghai International Studies University, Shanghai, China
| | - Linlin Zhan
- Faculty of Western Languages, Heilongjiang University, Harbin, China
| | - Lina Huang
- Department of Radiology, Changshu No. 2 People's Hospital, The Affiliated Changshu Hospital of Xuzhou Medical University, Changshu, Jiangsu, China
| | - Hongqiang Zhang
- Department of Radiology, Changshu No. 2 People's Hospital, The Affiliated Changshu Hospital of Xuzhou Medical University, Changshu, Jiangsu, China
| | - Jiawei Sun
- School of Information and Electronics Technology, Jiamusi University, Jiamusi, China
| | - Guofeng Huang
- School of Information and Electronics Technology, Jiamusi University, Jiamusi, China
| | - Yadan Wang
- School of Information and Electronics Technology, Jiamusi University, Jiamusi, China
| | - Mengting Li
- School of Teacher Education, Zhejiang Normal University, Jinhua, China.,Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, Zhejiang Normal University, Jinhua, 321004, China
| | - Huayun Li
- School of Teacher Education, Zhejiang Normal University, Jinhua, China.,Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, Zhejiang Normal University, Jinhua, 321004, China
| | - Yanyan Gao
- School of Teacher Education, Zhejiang Normal University, Jinhua, China. .,Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, Zhejiang Normal University, Jinhua, 321004, China.
| | - Xize Jia
- School of Teacher Education, Zhejiang Normal University, Jinhua, China. .,Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, Zhejiang Normal University, Jinhua, 321004, China.
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Wilson KC, Kornisch M, Ikuta T. Disrupted functional connectivity of the primary auditory cortex in autism. Psychiatry Res Neuroimaging 2022; 324:111490. [PMID: 35690016 DOI: 10.1016/j.pscychresns.2022.111490] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2021] [Revised: 04/17/2022] [Accepted: 05/08/2022] [Indexed: 01/04/2023]
Abstract
Autism Spectrum Disorder (ASD) has been found to influence hearing and sensory integration, while brain functional connectivity in ASD has been repeatedly shown to be atypical. However, functional connectivity of the auditory cortex in ASD has not been well studied. In the current study, we used resting-state functional magnetic resonance imaging data, provided by the Autism Brain Imaging Data Exchange (ABIDE), to examine functional connectivity of the primary auditory cortex in ASD. The study subjects included 68 individuals with ASD and 77 individuals without ASD. In the primary dataset, the ASD group showed lesser functional connectivity between the auditory cortex and four regions: the medial occipital cortex, primary motor cortex, insular cortex, and Wernicke's area. In the replication dataset (44 individuals with ASD and 39 individuals without ASD), reduced connectivity to the medial occipital cortex and primary motor cortex was replicated among these four regions, which have previously been shown to be influenced by ASD. Thus, the reduced functional connectivity to these indicated regions may partly explain deficient sensory integration associated with ASD.
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Affiliation(s)
- Katherine Conway Wilson
- Department of Speech, Language and Hearing Sciences, University of Texas, Austin, TX, United States
| | - Myriam Kornisch
- Department of Communication Sciences and Disorders, University of Mississippi, P.O. Box 1848, MS 38677, United States
| | - Toshikazu Ikuta
- Department of Communication Sciences and Disorders, University of Mississippi, P.O. Box 1848, MS 38677, United States.
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Espectro autista: una propuesta de intervención a la medida, basada en la evidencia. REVISTA MÉDICA CLÍNICA LAS CONDES 2022. [DOI: 10.1016/j.rmclc.2022.06.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
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6
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Coburn KL, Kurtz MR, Rivera D, Kana RK. Behavioral and neurobiological evidence for the effects of reading interventions on autistic children: A systematic review. Neurosci Biobehav Rev 2022; 139:104748. [PMID: 35728668 DOI: 10.1016/j.neubiorev.2022.104748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Revised: 05/11/2022] [Accepted: 06/15/2022] [Indexed: 10/18/2022]
Abstract
This study systematically reviewed the literature on reading interventions for autistic children. Peer-reviewed articles that reported behavioral and/or neurobiological effects of reading intervention were identified in five online databases. After screening, 15 studies met the inclusion criteria for this review. These studies focus on interventions targeted towards improving specific reading skills: comprehension, vocabulary, fluency, and phonological awareness. Studied interventions included interactive and shared reading, visualization strategies, vocabulary and main idea instruction, video modeling, and interventions supported by tablet-based technology. Overall, the studies identified in this review reported improvements to each of the targeted reading skills and changes to neural activation and connectivity. In addition, changes at the brain level were associated with improvements in reading. Specifically, frontal, temporal, and occipital regions associated with visual and language processing showed increased activation and functional connectivity following intervention. This review provides important insights into the landscape of reading intervention studies in autism and into the neurobiological underpinnings of reading skills and how interventions affect those processes.
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Affiliation(s)
- Kelly L Coburn
- Department of Psychology, Center for Innovative Research in Autism, The University of Alabama, 348 Gordon Palmer Hall, Tuscaloosa, AL 35487, USA
| | - McKayla R Kurtz
- Department of Psychology, Center for Innovative Research in Autism, The University of Alabama, 348 Gordon Palmer Hall, Tuscaloosa, AL 35487, USA
| | - Daphne Rivera
- Department of Psychology, Center for Innovative Research in Autism, The University of Alabama, 348 Gordon Palmer Hall, Tuscaloosa, AL 35487, USA
| | - Rajesh K Kana
- Department of Psychology, Center for Innovative Research in Autism, The University of Alabama, 348 Gordon Palmer Hall, Tuscaloosa, AL 35487, USA.
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7
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Wu C, Zheng H, Wu H, Tang Y, Li F, Wang D. Age-related Brain Morphological Alteration of Medication-naive Boys With High Functioning Autism. Acad Radiol 2022; 29 Suppl 3:S28-S35. [PMID: 33160862 DOI: 10.1016/j.acra.2020.10.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2020] [Revised: 09/24/2020] [Accepted: 10/04/2020] [Indexed: 11/28/2022]
Abstract
RATIONALE AND OBJECTIVE To investigate age-related brain morphological changes of boys with high functioning autism (HFA). MATERIALS AND METHODS Forty-six medication-naive boys with HFA and 48 age-matched typically developing boys (4-12 years old) were included in this study. Structural brain images were processed with FreeSurfer to calculate the brain morphometric features including regional volume, surface area, average cortical thickness, and Gaussian curvature. General linear model was used to identify significant effects of diagnosis and age-by-diagnosis interaction. Correlations between age and the brain morphometric variables of significant clusters were explored. RESULTS Primarily, most of the regions with statistically significant intergroup differences were located in the temporal lobe gyri. Importantly, the volume of bilateral superior temporal gyrus (STG) and the average cortical thickness of the right STG demonstrated significantly age-related intergroup differences. Further age-stratified analysis also revealed morphological alterations of STG among subgroups of preschool and school-aged children with or without HFA. CONCLUSION The findings demonstrated abnormal age-related volume and cortical thickness atrophy of the STG in HFA children, which reflect brain development trajectories of ASD may initiate to diverge from early overgrowth in childhood period. The anatomical localization of specific brain regions would help us better understand the neurobiology alterations of HFA patients and indicate the effect of age should be carefully delineated and examined in future studies about HFA.
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Affiliation(s)
- Chenqing Wu
- Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Hui Zheng
- Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Haoting Wu
- Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yun Tang
- Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Fei Li
- Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Dengbin Wang
- Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
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8
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DeMayo MM, Pokorski I, Song YJC, Thapa R, Patel S, Ambarchi Z, Soligo D, Sadeli I, Thomas EE, Hickie IB, Guastella AJ. The Feasibility of Magnetic Resonance Imaging in a Non-Selective Comprehensive Clinical Trial in Pediatric Autism Spectrum Disorder. J Autism Dev Disord 2021; 52:1211-1222. [PMID: 33903957 DOI: 10.1007/s10803-021-05028-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/14/2021] [Indexed: 12/16/2022]
Abstract
There is an increasing interest in using magnetic resonance imaging (MRI) as a tool for precision medicine in autism spectrum disorder (ASD). This study investigated the feasibility of MRI scanning in a large comprehensive, inclusive and test heavy clinical trial for children (aged 3-12 years) with ASD, without functioning constraints for participation. Of the 71 participants enrolled who consented to the MRI, 24 participants (38%) successfully completed an MRI scan at baseline along with other assessments. This scanning followed a familiarization procedure at two preceding visits. At post-treatment, 21 participants successfully completed the MRI scan. This study highlights the challenge of completing MRI assessments in ASD populations when conducted as one of a number of tests in a clinical trial.
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Affiliation(s)
- Marilena M DeMayo
- Faculty of Medicine and Health, Brain and Mind Centre, Children's Hospital Westmead Clinical School, Autism Clinic for Translational Research, University of Sydney, 100 Mallett Street, Camperdown, NSW, 2050, Australia
| | - Izabella Pokorski
- Faculty of Medicine and Health, Brain and Mind Centre, Children's Hospital Westmead Clinical School, Autism Clinic for Translational Research, University of Sydney, 100 Mallett Street, Camperdown, NSW, 2050, Australia
| | - Yun J C Song
- Faculty of Medicine and Health, Brain and Mind Centre, Children's Hospital Westmead Clinical School, Autism Clinic for Translational Research, University of Sydney, 100 Mallett Street, Camperdown, NSW, 2050, Australia
| | - Rinku Thapa
- Faculty of Medicine and Health, Brain and Mind Centre, Children's Hospital Westmead Clinical School, Autism Clinic for Translational Research, University of Sydney, 100 Mallett Street, Camperdown, NSW, 2050, Australia
| | - Shrujna Patel
- Faculty of Medicine and Health, Brain and Mind Centre, Children's Hospital Westmead Clinical School, Autism Clinic for Translational Research, University of Sydney, 100 Mallett Street, Camperdown, NSW, 2050, Australia
| | - Zahava Ambarchi
- Faculty of Medicine and Health, Brain and Mind Centre, Children's Hospital Westmead Clinical School, Autism Clinic for Translational Research, University of Sydney, 100 Mallett Street, Camperdown, NSW, 2050, Australia
| | | | - Indra Sadeli
- Faculty of Medicine and Health, Brain and Mind Centre, Children's Hospital Westmead Clinical School, Autism Clinic for Translational Research, University of Sydney, 100 Mallett Street, Camperdown, NSW, 2050, Australia
| | - Emma E Thomas
- Faculty of Medicine and Health, Brain and Mind Centre, Children's Hospital Westmead Clinical School, Autism Clinic for Translational Research, University of Sydney, 100 Mallett Street, Camperdown, NSW, 2050, Australia
| | - Ian B Hickie
- Faculty of Medicine and Health, Brain and Mind Centre, Children's Hospital Westmead Clinical School, Autism Clinic for Translational Research, University of Sydney, 100 Mallett Street, Camperdown, NSW, 2050, Australia.,Faculty of Medicine and Health, Brain and Mind Centre, Central Clinical School, University of Sydney, 100 Mallett Street, Camperdown, NSW, 2050, Australia
| | - Adam J Guastella
- Faculty of Medicine and Health, Brain and Mind Centre, Children's Hospital Westmead Clinical School, Autism Clinic for Translational Research, University of Sydney, 100 Mallett Street, Camperdown, NSW, 2050, Australia.
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Li X, Zhang K, He X, Zhou J, Jin C, Shen L, Gao Y, Tian M, Zhang H. Structural, Functional, and Molecular Imaging of Autism Spectrum Disorder. Neurosci Bull 2021; 37:1051-1071. [PMID: 33779890 DOI: 10.1007/s12264-021-00673-0] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Accepted: 12/20/2020] [Indexed: 12/21/2022] Open
Abstract
Autism spectrum disorder (ASD) is a heterogeneous neurodevelopmental disorder associated with both genetic and environmental risks. Neuroimaging approaches have been widely employed to parse the neurophysiological mechanisms underlying ASD, and provide critical insights into the anatomical, functional, and neurochemical changes. We reviewed recent advances in neuroimaging studies that focused on ASD by using magnetic resonance imaging (MRI), positron emission tomography (PET), or single-positron emission tomography (SPECT). Longitudinal structural MRI has delineated an abnormal developmental trajectory of ASD that is associated with cascading neurobiological processes, and functional MRI has pointed to disrupted functional neural networks. Meanwhile, PET and SPECT imaging have revealed that metabolic and neurotransmitter abnormalities may contribute to shaping the aberrant neural circuits of ASD. Future large-scale, multi-center, multimodal investigations are essential to elucidate the neurophysiological underpinnings of ASD, and facilitate the development of novel diagnostic biomarkers and better-targeted therapy.
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Affiliation(s)
- Xiaoyi Li
- Department of Nuclear Medicine and Medical PET Center, The Second Hospital of Zhejiang University School of Medicine, Hangzhou, 310009, China
- Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, 310009, China
- Institute of Nuclear Medicine and Molecular Imaging, Zhejiang University, Hangzhou, 310009, China
| | - Kai Zhang
- Laboratory for Pathophysiological and Health Science, RIKEN Center for Biosystems Dynamics Research, Hyogo, 650-0047, Japan
| | - Xiao He
- Department of Nuclear Medicine and Medical PET Center, The Second Hospital of Zhejiang University School of Medicine, Hangzhou, 310009, China
- Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, 310009, China
- Institute of Nuclear Medicine and Molecular Imaging, Zhejiang University, Hangzhou, 310009, China
| | - Jinyun Zhou
- Department of Nuclear Medicine and Medical PET Center, The Second Hospital of Zhejiang University School of Medicine, Hangzhou, 310009, China
- Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, 310009, China
- Institute of Nuclear Medicine and Molecular Imaging, Zhejiang University, Hangzhou, 310009, China
| | - Chentao Jin
- Department of Nuclear Medicine and Medical PET Center, The Second Hospital of Zhejiang University School of Medicine, Hangzhou, 310009, China
- Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, 310009, China
- Institute of Nuclear Medicine and Molecular Imaging, Zhejiang University, Hangzhou, 310009, China
| | - Lesang Shen
- Department of Surgical Oncology, The Second Hospital of Zhejiang University School of Medicine, Hangzhou, 310009, China
| | - Yuanxue Gao
- Department of Nuclear Medicine and Medical PET Center, The Second Hospital of Zhejiang University School of Medicine, Hangzhou, 310009, China
- Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, 310009, China
- Institute of Nuclear Medicine and Molecular Imaging, Zhejiang University, Hangzhou, 310009, China
| | - Mei Tian
- Department of Nuclear Medicine and Medical PET Center, The Second Hospital of Zhejiang University School of Medicine, Hangzhou, 310009, China.
- Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, 310009, China.
- Institute of Nuclear Medicine and Molecular Imaging, Zhejiang University, Hangzhou, 310009, China.
| | - Hong Zhang
- Department of Nuclear Medicine and Medical PET Center, The Second Hospital of Zhejiang University School of Medicine, Hangzhou, 310009, China.
- Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, 310009, China.
- Key Laboratory for Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou, 310027, China.
- Institute of Nuclear Medicine and Molecular Imaging, Zhejiang University, Hangzhou, 310009, China.
- The College of Biomedical Engineering and Instrument Science of Zhejiang University, Hangzhou, 310027, China.
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10
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Tymofiyeva O, Gaschler R. Training-Induced Neural Plasticity in Youth: A Systematic Review of Structural and Functional MRI Studies. Front Hum Neurosci 2021; 14:497245. [PMID: 33536885 PMCID: PMC7848153 DOI: 10.3389/fnhum.2020.497245] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2020] [Accepted: 12/01/2020] [Indexed: 01/17/2023] Open
Abstract
Experience-dependent neural plasticity is high in the developing brain, presenting a unique window of opportunity for training. To optimize existing training programs and develop new interventions, it is important to understand what processes take place in the developing brain during training. Here, we systematically review MRI-based evidence of training-induced neural plasticity in children and adolescents. A total of 71 articles were included in the review. Significant changes in brain activation, structure, microstructure, and structural and functional connectivity were reported with different types of trainings in the majority (87%) of the studies. Significant correlation of performance improvement with neural changes was reported in 51% of the studies. Yet, only 48% of the studies had a control condition. Overall, the review supports the hypothesized neural changes with training while at the same time charting empirical and methodological desiderata for future research.
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Affiliation(s)
- Olga Tymofiyeva
- Department of Radiology & Biomedical Imaging, University of California, San Francisco, CA, United States.,Department of Psychology, University of Hagen, Hagen, Germany
| | - Robert Gaschler
- Department of Psychology, University of Hagen, Hagen, Germany
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11
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Haendel AD, Barrington A, Magnus B, Arias AA, McVey A, Pleiss S, Carson A, Vogt EM, Van Hecke AV. Changes in Electroencephalogram Coherence in Adolescents With Autism Spectrum Disorder After a Social Skills Intervention. Autism Res 2021; 14:787-803. [PMID: 33398936 DOI: 10.1002/aur.2459] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Revised: 12/07/2020] [Accepted: 12/08/2020] [Indexed: 11/11/2022]
Abstract
Autism spectrum disorder (ASD) is a developmental condition that affects social communication and behavior. There is consensus that neurological differences are present in ASD. Further, theories emphasize the mixture of hypo- and hyper-connectivity as a neuropathologies in ASD [O'Reilly, Lewis, & Elsabbagh, 2017]; however, there is a paucity of studies specifically testing neurological underpinnings as predictors of success on social skills interventions. This study examined functional neural connectivity (electroencephalogram [EEG], coherence) of adolescents with ASD before and after the Program for the Education and Enrichment of Relational Skills (PEERS®) intervention, using a randomized controlled trial of two groups: an Experimental ASD (EXP) Group and a Waitlist Control ASD (WL) Group. The study had two purposes. First, the study aimed to determine whether changes in EEG coherence differed for adolescents that received PEERS® versus those that did not receive PEERS®. Results revealed a significant increase in connectivity in the occipital left to temporal left pair for the EXP group after intervention. Second, the study aimed to determine if changes in EEG coherence related to changes in behavior, friendships, and social skills measured by questionnaires. At post-intervention, results indicated: (a) positive change in frontal right to parietal right coherence was linked to an increase in social skills scores; and (b) positive changes in occipital right to temporal right coherence and occipital left to parietal left coherence were linked to an increase in the total number of get-togethers. Results of this study support utilizing neurobehavioral domains as indicators of treatment outcome. Lay Summary: This study examined how well various areas of the brain communicate in adolescents with ASD before and after a social skills intervention. Results revealed increased connectivity in the adolescents that received the intervention. Secondly, the study aimed to determine if changes in connectivity of brain areas related to changes in behavior, friendships, and social skills. Results indicated that changes in connectivity were also linked to increased social skills. Autism Res 2021, 14: 787-803. © 2021 International Society for Autism Research and Wiley Periodicals LLC.
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Affiliation(s)
- Angela D Haendel
- Department of Speech-Language Pathology, Concordia University Wisconsin, Grafton, Wisconsin, USA
| | - Alexander Barrington
- Department of Biomedical Engineering, Marquette University, Milwaukee, Wisconsin, USA
| | - Brooke Magnus
- Department of Psychology, Boston College, Boston, Massachusetts, USA
| | - Alexis A Arias
- Department of Psychology, Marquette University, Milwaukee, Wisconsin, USA
| | - Alana McVey
- Department of Psychology, Marquette University, Milwaukee, Wisconsin, USA.,Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, California, Los Angeles, USA
| | - Sheryl Pleiss
- Great Lakes Neurobehavioral Center, Edina, Minnesota, USA
| | | | - Elisabeth M Vogt
- Medical College of Wisconsin, Neurology, Wauwatosa, Wisconsin, USA
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12
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Abstract
Electroencephalographic studies using graph-theoretic analysis have found aberrations in functional connectivity in dyslexics. How visual nonverbal training (VT) can change the functional connectivity of the reading network in developmental dyslexia is still unclear. We studied differences in the local and global topological properties of functional reading networks between controls and dyslexic children before and after VT. The minimum spanning tree method was used to construct the reading networks in multiple electroencephalogram (EEG) frequency bands. Compared to controls, pre-training dyslexics had a higher leaf fraction, tree hierarchy, kappa, and smaller diameter (θ—γ-frequency bands), and therefore, they had a less segregated neural network than controls. After training, the reading-network metrics of dyslexics became similar to controls. In β1 and γ-frequency bands, pre-training dyslexics exhibited a reduced degree and betweenness centrality of hubs in superior, middle, and inferior frontal areas in both brain hemispheres compared to the controls. Dyslexics relied on the left anterior temporal (β1, γ1) and dorsolateral prefrontal cortex (γ1), while in the right hemisphere, they relied on the occipitotemporal, parietal, (β1), motor (β2, γ1), and somatosensory cortices (γ1). After training, hubs appeared in both hemispheres at the middle occipital (β), parietal (β1), somatosensory (γ1), and dorsolateral prefrontal cortices (γ2), while in the left hemisphere, they appeared at the middle temporal, motor (β1), intermediate (γ2), and inferior frontal cortices (γ1, β2). Language-related brain regions were more active after visual training. They contribute to an understanding of lexical and sublexical representation. The same role has areas important for articulatory processes of reading.
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13
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Seghier ML, Fahim MA, Habak C. Educational fMRI: From the Lab to the Classroom. Front Psychol 2019; 10:2769. [PMID: 31866920 PMCID: PMC6909003 DOI: 10.3389/fpsyg.2019.02769] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2019] [Accepted: 11/25/2019] [Indexed: 12/23/2022] Open
Abstract
Functional MRI (fMRI) findings hold many potential applications for education, and yet, the translation of fMRI findings to education has not flowed. Here, we address the types of fMRI that could better support applications of neuroscience to the classroom. This 'educational fMRI' comprises eight main challenges: (1) collecting artifact-free fMRI data in school-aged participants and in vulnerable young populations, (2) investigating heterogenous cohorts with wide variability in learning abilities and disabilities, (3) studying the brain under natural and ecological conditions, given that many practical topics of interest for education can be addressed only in ecological contexts, (4) depicting complex age-dependent associations of brain and behaviour with multi-modal imaging, (5) assessing changes in brain function related to developmental trajectories and instructional intervention with longitudinal designs, (6) providing system-level mechanistic explanations of brain function, so that useful individualized predictions about learning can be generated, (7) reporting negative findings, so that resources are not wasted on developing ineffective interventions, and (8) sharing data and creating large-scale longitudinal data repositories to ensure transparency and reproducibility of fMRI findings for education. These issues are of paramount importance to the development of optimal fMRI practices for educational applications.
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Affiliation(s)
- Mohamed L Seghier
- Cognitive Neuroimaging Unit, Emirates College for Advanced Education (ECAE), Abu Dhabi, United Arab Emirates
| | - Mohamed A Fahim
- Cognitive Neuroimaging Unit, Emirates College for Advanced Education (ECAE), Abu Dhabi, United Arab Emirates
| | - Claudine Habak
- Cognitive Neuroimaging Unit, Emirates College for Advanced Education (ECAE), Abu Dhabi, United Arab Emirates
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14
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Tracking the Brain State Transition Process of Dynamic Function Connectivity Based on Resting State fMRI. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE 2019; 2019:9027803. [PMID: 31687008 PMCID: PMC6800976 DOI: 10.1155/2019/9027803] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/22/2019] [Revised: 08/19/2019] [Accepted: 09/05/2019] [Indexed: 11/17/2022]
Abstract
BOLD-fMRI technology provides a good foundation for the research of human brain dynamic functional connectivity and brain state analysis. However, due to the complexity of brain function connectivity and the high dimensionality expression of brain dynamic attributions, more research studies are focusing on tracking the time-varying characteristics through the transition between different brain states. The transition process is considered to occur instantaneously at some special time point in the above research studies, whereas our work found the brain state transition may be completed in a time section gradually rather than instantaneously. In this paper, a brain state conversion rate model is constructed to observe the procedure of brain state transition trend at each time point, and the state change can be observed by the values of conversion rate. According to the results, the transition of status always lasts for a few time points, and a brain state network model with both steady state and transition state is presented. Network topological overlap coefficient is built to analyze the features of time-varying networks. With this method, some common regular patterns of time-varying characteristics can be observed strongly in healthy children but not in the autism children. This distinct can help us to distinguish children with autism from healthy children.
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15
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Coderre EL. Dismantling the “Visual Ease Assumption:" A Review of Visual Narrative Processing in Clinical Populations. Top Cogn Sci 2019; 12:224-255. [DOI: 10.1111/tops.12446] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2018] [Revised: 06/18/2019] [Accepted: 06/18/2019] [Indexed: 12/29/2022]
Affiliation(s)
- Emily L. Coderre
- Department of Communication Sciences and Disorders University of Vermont
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16
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Iidaka T, Kogata T, Mano Y, Komeda H. Thalamocortical Hyperconnectivity and Amygdala-Cortical Hypoconnectivity in Male Patients With Autism Spectrum Disorder. Front Psychiatry 2019; 10:252. [PMID: 31057443 PMCID: PMC6482335 DOI: 10.3389/fpsyt.2019.00252] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2018] [Accepted: 04/02/2019] [Indexed: 01/06/2023] Open
Abstract
Background: Analyses of resting-state functional magnetic resonance imaging (rs-fMRI) have been performed to investigate pathophysiological changes in the brains of patients with autism spectrum disorder (ASD) relative to typically developing controls (CTLs). However, the results of these previous studies, which have reported mixed patterns of hypo- and hyperconnectivity, are controversial, likely due to the small sample sizes and limited age range of included participants. Methods: To overcome this issue, we analyzed multisite neuroimaging data from a large sample (n = 626) of male participants aged between 5 and 29 years (mean age = 13 years). The rs-fMRI data were preprocessed using SPM12 and DPARSF software, and signal changes in 90 brain regions were extracted. Multiple linear regression was used to exclude the effect of site differences in connectivity data. Subcortical-cortical connectivity was computed using connectivities in the hippocampus, amygdala, caudate nucleus, putamen, pallidum, and thalamus. Eighty-eight connectivities in each structure were compared between patients with ASD and CTLs using multiple linear regression with group, age, and age × group interactions, head movement parameters, and overall connectivity as variables. Results: After correcting for multiple comparisons, patients in the ASD group exhibited significant increases in connectivity between the thalamus and 19 cortical regions distributed throughout the fronto-parietal lobes, including the temporo-parietal junction and posterior cingulate cortices. In addition, there were significant decreases in connectivity between the amygdala and six cortical regions. The mean effect size of hyperconnectivity (0.25) was greater than that for hypoconnectivity (0.08). No other subcortical structures showed significant group differences. A group-by-age interaction was observed for connectivity between the thalamus and motor-somatosensory areas. Conclusions: These results demonstrate that pathophysiological changes associated with ASD are more likely related to thalamocortical hyperconnectivity than to amygdala-cortical hypoconnectivity. Future studies should examine full sets of clinical and behavioral symptoms in combination with functional connectivity to explore possible biomarkers for ASD.
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Affiliation(s)
- Tetsuya Iidaka
- Brain & Mind Research Center, Nagoya University, Nagoya, Japan.,Department of Physical and Occupational Therapy, Graduate School of Medicine, Nagoya University, Nagoya, Japan
| | - Tomohiro Kogata
- Department of Physical and Occupational Therapy, Graduate School of Medicine, Nagoya University, Nagoya, Japan
| | - Yoko Mano
- Department of Physical and Occupational Therapy, Graduate School of Medicine, Nagoya University, Nagoya, Japan
| | - Hidetsugu Komeda
- Department of Education, Psychology, and Human Studies, Aoyama Gakuin University, Tokyo, Japan
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17
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Izadi-Najafabadi S, Rinat S, Zwicker JG. Rehabilitation-induced brain changes detected through magnetic resonance imaging in children with neurodevelopmental disorders: A systematic review. Int J Dev Neurosci 2018; 73:66-82. [PMID: 30550748 DOI: 10.1016/j.ijdevneu.2018.12.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2018] [Revised: 11/19/2018] [Accepted: 12/07/2018] [Indexed: 01/08/2023] Open
Abstract
AIM The aim of this study was to systematically review evidence about rehabilitation-induced neuroplasticity measured by magnetic resonance imaging (MRI) in children with neurodevelopmental disorders. METHOD The following databases were searched: MEDLINE, EMBASE, CINAHL, and PsycINFO. Two independent reviewers screened articles according to inclusion criteria: (1) peer-review study published in a scientific journal; (2) studies that evaluated a rehabilitation-based intervention; (3) participants aged less than 19 years with a neurodevelopmental disorder; and (4) studies that used at least one MRI modality as an outcome measure. Twenty-seven studies met the criteria for the review and their quality was assessed by two independent reviewers using the Effective Public Health Practice Project Quality Assessment Tool. RESULTS Based on an assessment of bias and overall quality, 11% of the papers were rated as strong; 30% moderate; and 59% weak. Outcomes were categorized into structural connectivity, functional connectivity, cortical activation, and structural volume. Cortical activation and structural connectivity were the most commonly reported measures. Most studies were able to identify brain changes in children with neurodevelopmental disorders after therapy. INTERPRETATIONS Rehabilitation is shown to induce MRI-detectable neuroplastic changes in children with neurodevelopmental disorders. Structural connectivity might need greater intensity and/or duration of intervention to induce change.
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Affiliation(s)
- Sara Izadi-Najafabadi
- Department of Occupational Science & Occupational Therapy, University of British Columbia, Vancouver, Canada; BC Children's Hospital Research Institute, Vancouver, Canada
| | - Shie Rinat
- Department of Occupational Science & Occupational Therapy, University of British Columbia, Vancouver, Canada; BC Children's Hospital Research Institute, Vancouver, Canada
| | - Jill G Zwicker
- Department of Occupational Science & Occupational Therapy, University of British Columbia, Vancouver, Canada; BC Children's Hospital Research Institute, Vancouver, Canada; Department of Pediatrics, University of British Columbia, Vancouver, Canada; Sunny Hill Health Centre for Children, Vancouver, Canada.
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18
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Coderre EL, Cohn N, Slipher SK, Chernenok M, Ledoux K, Gordon B. Visual and linguistic narrative comprehension in autism spectrum disorders: Neural evidence for modality-independent impairments. BRAIN AND LANGUAGE 2018; 186:44-59. [PMID: 30216902 DOI: 10.1016/j.bandl.2018.09.001] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/27/2017] [Revised: 06/15/2018] [Accepted: 09/02/2018] [Indexed: 06/08/2023]
Abstract
Individuals with autism spectrum disorders (ASD) have notable language difficulties, including with understanding narratives. However, most narrative comprehension studies have used written or spoken narratives, making it unclear whether narrative difficulties stem from language impairments or more global impairments in the kinds of general cognitive processes (such as understanding meaning and structural sequencing) that are involved in narrative comprehension. Using event-related potentials (ERPs), we directly compared semantic comprehension of linguistic narratives (short sentences) and visual narratives (comic panels) in adults with ASD and typically-developing (TD) adults. Compared to the TD group, the ASD group showed reduced N400 effects for both linguistic and visual narratives, suggesting comprehension impairments for both types of narratives and thereby implicating a more domain-general impairment. Based on these results, we propose that individuals with ASD use a more bottom-up style of processing during narrative comprehension.
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Affiliation(s)
- Emily L Coderre
- Department of Communication Sciences and Disorders, University of Vermont, Burlington, VT, United States; Cognitive Neurology/Neuropsychology, Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, United States.
| | - Neil Cohn
- Tilburg Center for Cognition and Communication (TiCC), Tilburg University, Tilburg, The Netherlands
| | - Sally K Slipher
- Cognitive Neurology/Neuropsychology, Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, United States; Department of Health Professions, Montana State University, Bozeman, MT, United States
| | - Mariya Chernenok
- Cognitive Neurology/Neuropsychology, Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, United States; Department of Human Ecology, University of California at Davis, Davis, CA, United States
| | - Kerry Ledoux
- Cognitive Neurology/Neuropsychology, Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Barry Gordon
- Cognitive Neurology/Neuropsychology, Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, United States; Department of Cognitive Science, The Johns Hopkins University, Baltimore, MD, United States
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19
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Sharda M, Tuerk C, Chowdhury R, Jamey K, Foster N, Custo-Blanch M, Tan M, Nadig A, Hyde K. Music improves social communication and auditory-motor connectivity in children with autism. Transl Psychiatry 2018; 8:231. [PMID: 30352997 PMCID: PMC6199253 DOI: 10.1038/s41398-018-0287-3] [Citation(s) in RCA: 69] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2018] [Revised: 08/10/2018] [Accepted: 09/26/2018] [Indexed: 01/04/2023] Open
Abstract
Music has been identified as a strength in people with Autism Spectrum Disorder; however, there is currently no neuroscientific evidence supporting its benefits. Given its universal appeal, intrinsic reward value and ability to modify brain and behaviour, music may be a potential therapeutic aid in autism. Here we evaluated the neurobehavioural outcomes of a music intervention, compared to a non-music control intervention, on social communication and brain connectivity in school-age children (ISRCTN26821793). Fifty-one children aged 6-12 years with autism were randomized to receive 8-12 weeks of music (n = 26) or non-music intervention (n = 25). The music intervention involved use of improvisational approaches through song and rhythm to target social communication. The non-music control was a structurally matched behavioural intervention implemented in a non-musical context. Groups were assessed before and after intervention on social communication and resting-state functional connectivity of fronto-temporal brain networks. Communication scores were higher in the music group post-intervention (difference score = 4.84, P = .01). Associated post-intervention resting-state brain functional connectivity was greater in music vs. non-music groups between auditory and subcortical regions (z = 3.94, P < .0001) and auditory and fronto-motor regions (z = 3.16, P < .0001). Post-intervention brain connectivity was lower between auditory and visual regions in the music compared to the non-music groups, known to be over-connected in autism (z = 4.01, P < .00001). Post-intervention brain connectivity in the music group was related to communication improvement (z = 3.57, P < .0001). This study provides the first evidence that 8-12 weeks of individual music intervention can indeed improve social communication and functional brain connectivity, lending support to further investigations of neurobiologically motivated models of music interventions in autism.
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Affiliation(s)
- Megha Sharda
- International Laboratory for Brain, Music and Sound Research (BRAMS), Department of Psychology, University of Montreal, Pavilion Marie-Victorin, 90 Avenue Vincent D'Indy, Montreal, QC, H2V 2S9, Canada.
- Centre for Research on Brain, Language and Music (CRBLM), Faculty of Medicine, McGill University, Rabinovitch House, 3640 de la Montagne, Montreal, QC, H3G 2A8, Canada.
| | - Carola Tuerk
- International Laboratory for Brain, Music and Sound Research (BRAMS), Department of Psychology, University of Montreal, Pavilion Marie-Victorin, 90 Avenue Vincent D'Indy, Montreal, QC, H2V 2S9, Canada
| | - Rakhee Chowdhury
- International Laboratory for Brain, Music and Sound Research (BRAMS), Department of Psychology, University of Montreal, Pavilion Marie-Victorin, 90 Avenue Vincent D'Indy, Montreal, QC, H2V 2S9, Canada
| | - Kevin Jamey
- International Laboratory for Brain, Music and Sound Research (BRAMS), Department of Psychology, University of Montreal, Pavilion Marie-Victorin, 90 Avenue Vincent D'Indy, Montreal, QC, H2V 2S9, Canada
- Centre for Research on Brain, Language and Music (CRBLM), Faculty of Medicine, McGill University, Rabinovitch House, 3640 de la Montagne, Montreal, QC, H3G 2A8, Canada
| | - Nicholas Foster
- International Laboratory for Brain, Music and Sound Research (BRAMS), Department of Psychology, University of Montreal, Pavilion Marie-Victorin, 90 Avenue Vincent D'Indy, Montreal, QC, H2V 2S9, Canada
- Centre for Research on Brain, Language and Music (CRBLM), Faculty of Medicine, McGill University, Rabinovitch House, 3640 de la Montagne, Montreal, QC, H3G 2A8, Canada
| | - Melanie Custo-Blanch
- International Laboratory for Brain, Music and Sound Research (BRAMS), Department of Psychology, University of Montreal, Pavilion Marie-Victorin, 90 Avenue Vincent D'Indy, Montreal, QC, H2V 2S9, Canada
- Centre for Research on Brain, Language and Music (CRBLM), Faculty of Medicine, McGill University, Rabinovitch House, 3640 de la Montagne, Montreal, QC, H3G 2A8, Canada
| | - Melissa Tan
- Westmount Music Therapy, 4695 Maisonneuve Boulevard West, Westmount, QC, H3Z 1S4, Canada
| | - Aparna Nadig
- Centre for Research on Brain, Language and Music (CRBLM), Faculty of Medicine, McGill University, Rabinovitch House, 3640 de la Montagne, Montreal, QC, H3G 2A8, Canada
- School of Communication Sciences and Disorders, Faculty of Medicine, McGill University, 2001 Avenue McGill College, Montréal, QC, H3A 1G1, Canada
| | - Krista Hyde
- International Laboratory for Brain, Music and Sound Research (BRAMS), Department of Psychology, University of Montreal, Pavilion Marie-Victorin, 90 Avenue Vincent D'Indy, Montreal, QC, H2V 2S9, Canada
- Centre for Research on Brain, Language and Music (CRBLM), Faculty of Medicine, McGill University, Rabinovitch House, 3640 de la Montagne, Montreal, QC, H3G 2A8, Canada
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20
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Wang W, Liu J, Shi S, Liu T, Ma L, Ma X, Tian J, Gong Q, Wang M. Altered Resting-State Functional Activity in Patients With Autism Spectrum Disorder: A Quantitative Meta-Analysis. Front Neurol 2018; 9:556. [PMID: 30087648 PMCID: PMC6066523 DOI: 10.3389/fneur.2018.00556] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2017] [Accepted: 06/20/2018] [Indexed: 02/05/2023] Open
Abstract
Background: There is accumulating evidence showing that patients with autism spectrum disorder (ASD) have obvious changes in resting-state functional brain activity. So far, there have been no meta-analyses of the resting-state brain activity alterations in patients with ASD. We attempted to explore the resting-state functional activity changes in patients with ASD, possibly providing a new perspective for investigating the pathophysiology of patients with ASD. Methods: We screened relevant studies published before August 2017 in PubMed, Ovid, Web of Science, China National Knowledge Infrastructure (CNKI), and the Wan-fang database. Fifteen resting-state functional neural activity datasets (including 382 patients and 348 healthy controls) were included. Through the use of the effect-size signed differential mapping (ES-SDM) method, we carried out a meta-analysis of resting-state functional activity studies of patients with ASD. Results: Compared with healthy controls, patients with ASD showed hyperactivity in the right supplementary motor area, middle frontal gyrus, inferior frontal gyrus, the left precentral gyrus, and the bilateral cerebellum hemispheric lobule (VIII/IX), and hypoactivity in the right middle temporal gyrus, superior temporal gyrus, and the left precuneus, posterior cingulate cortex, median cingulate cortex, and bilateral cerebellum (crus I). Conclusion: This meta-analysis indicates that patients with ASD have significant and robust resting-state brain activity alterations in the language comprehension network, inferior-posterior cerebellum, default mode network (DMN), and cerebellar crus I. These brain regions may serve as specific regions of interest for further studies of ASD, which will allow us to further clarify the neurobiological mechanisms in patients with ASD.
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Affiliation(s)
- Wenhui Wang
- Department of Radiology, Zhengzhou University People's Hospital and Henan Provincial People's Hospital, Zhengzhou, China
| | - Jia Liu
- Department of Radiology, Union Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shaojie Shi
- Department of Radiology, Zhengzhou University People's Hospital and Henan Provincial People's Hospital, Zhengzhou, China
| | - Taiyuan Liu
- Department of Radiology, Zhengzhou University People's Hospital and Henan Provincial People's Hospital, Zhengzhou, China
| | - Lun Ma
- Department of Radiology, Zhengzhou University People's Hospital and Henan Provincial People's Hospital, Zhengzhou, China
| | - Xiaoyue Ma
- Department of Radiology, Zhengzhou University People's Hospital and Henan Provincial People's Hospital, Zhengzhou, China
| | - Jie Tian
- School of Life Science and Technology, Xidian University, Xi'an, China.,Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Qiyong Gong
- Huaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Meiyun Wang
- Department of Radiology, Zhengzhou University People's Hospital and Henan Provincial People's Hospital, Zhengzhou, China
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21
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Multimodal Functional and Structural Brain Connectivity Analysis in Autism: A Preliminary Integrated Approach With EEG, fMRI, and DTI. IEEE Trans Cogn Dev Syst 2018. [DOI: 10.1109/tcds.2017.2680408] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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22
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Maximo JO, Murdaugh DL, O'Kelley S, Kana RK. Changes in intrinsic local connectivity after reading intervention in children with autism. BRAIN AND LANGUAGE 2017; 175:11-17. [PMID: 28869842 DOI: 10.1016/j.bandl.2017.08.008] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/26/2017] [Revised: 07/30/2017] [Accepted: 08/27/2017] [Indexed: 06/07/2023]
Abstract
Most of the existing behavioral and cognitive intervention programs in autism spectrum disorders (ASD) have not been tested at the neurobiological level, thus falling short of finding quantifiable neurobiological changes underlying behavioral improvement. The current study takes a translational neuroimaging approach to test the impact of a structured visual imagery-based reading intervention on improving reading comprehension and assessing its underlying local neural circuitry. Behavioral and resting state functional MRI (rs-fMRI) data were collected from children with ASD who were randomly assigned to an Experimental group (ASD-EXP; n=14) and a Wait-list control group (ASD-WLC; n=14). Participants went through an established reading intervention training program (Visualizing and Verbalizing for language comprehension and thinking or V/V; 4-h per day, 10-weeks, 200h of face-to-face instruction). Local functional connectivity was examined using a connection density approach from graph theory focusing on brain areas considered part of the Reading Network. The main results are as follows: (I) the ASD-EXP group showed significant improvement, compared to the ASD-WLC group, in their reading comprehension ability evidenced from change in comprehension scores; (II) the ASD-EXP group showed increased local brain connectivity in Reading Network regions compared to the ASD-WLC group post-intervention; (III) intervention-related changes in local brain connectivity were observed in the ASD-EXP from pre to post-intervention; and (IV) improvement in language comprehension significantly predicted changes in local connectivity. The findings of this study provide novel insights into brain plasticity in children with developmental disorders using targeted intervention programs.
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Affiliation(s)
- Jose O Maximo
- University of Alabama at Birmingham, Birmingham, AL, USA
| | - Donna L Murdaugh
- University of Alabama at Birmingham, Birmingham, AL, USA; Children's Healthcare of Atlanta, Atlanta, GA, USA
| | - Sarah O'Kelley
- University of Alabama at Birmingham, Birmingham, AL, USA
| | - Rajesh K Kana
- University of Alabama at Birmingham, Birmingham, AL, USA.
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23
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Alcauter S, García-Mondragón L, Gracia-Tabuenca Z, Moreno MB, Ortiz JJ, Barrios FA. Resting state functional connectivity of the anterior striatum and prefrontal cortex predicts reading performance in school-age children. BRAIN AND LANGUAGE 2017; 174:94-102. [PMID: 28806599 DOI: 10.1016/j.bandl.2017.07.007] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2016] [Revised: 07/13/2017] [Accepted: 07/30/2017] [Indexed: 06/07/2023]
Abstract
The current study investigated the neural basis of reading performance in 60 school-age Spanish-speaking children, aged 6 to 9years. By using a data-driven approach and an automated matching procedure, we identified a left-lateralized resting state network that included typical language regions (Wernicke's and Broca's regions), prefrontal cortex, pre- and post-central gyri, superior and middle temporal gyri, cerebellum, and subcortical regions, and explored its relevance for reading performance (accuracy, comprehension and speed). Functional connectivity of the left frontal and temporal cortices and subcortical regions predicted reading speed. These results extend previous findings on the relationship between functional connectivity and reading competence in children, providing new evidence about such relationships in previously unexplored regions in the resting brain, including the left caudate, putamen and thalamus. This work highlights the relevance of a broad network, functionally synchronized in the resting state, for the acquisition and perfecting of reading abilities in young children.
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Affiliation(s)
- Sarael Alcauter
- Instituto de Neurobiología, Universidad Nacional Autónoma de México, Querétaro, Mexico.
| | - Liliana García-Mondragón
- Instituto de Neurobiología, Universidad Nacional Autónoma de México, Querétaro, Mexico; Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Zeus Gracia-Tabuenca
- Instituto de Neurobiología, Universidad Nacional Autónoma de México, Querétaro, Mexico
| | - Martha B Moreno
- Instituto de Neurobiología, Universidad Nacional Autónoma de México, Querétaro, Mexico
| | - Juan J Ortiz
- Instituto de Neurobiología, Universidad Nacional Autónoma de México, Querétaro, Mexico
| | - Fernando A Barrios
- Instituto de Neurobiología, Universidad Nacional Autónoma de México, Querétaro, Mexico
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24
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Kam TE, Suk HI, Lee SW. Multiple functional networks modeling for autism spectrum disorder diagnosis. Hum Brain Mapp 2017; 38:5804-5821. [PMID: 28845892 DOI: 10.1002/hbm.23769] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2016] [Revised: 07/25/2017] [Accepted: 08/07/2017] [Indexed: 11/07/2022] Open
Abstract
Despite countless studies on autism spectrum disorder (ASD), diagnosis relies on specific behavioral criteria and neuroimaging biomarkers for the disorder are still relatively scarce and irrelevant for diagnostic workup. Many researchers have focused on functional networks of brain activities using resting-state functional magnetic resonance imaging (rsfMRI) to diagnose brain diseases, including ASD. Although some existing methods are able to reveal the abnormalities in functional networks, they are either highly dependent on prior assumptions for modeling these networks or do not focus on latent functional connectivities (FCs) by considering discriminative relations among FCs in a nonlinear way. In this article, we propose a novel framework to model multiple networks of rsfMRI with data-driven approaches. Specifically, we construct large-scale functional networks with hierarchical clustering and find discriminative connectivity patterns between ASD and normal controls (NC). We then learn features and classifiers for each cluster through discriminative restricted Boltzmann machines (DRBMs). In the testing phase, each DRBM determines whether a test sample is ASD or NC, based on which we make a final decision with a majority voting strategy. We assess the diagnostic performance of the proposed method using public datasets and describe the effectiveness of our method by comparing it to competing methods. We also rigorously analyze FCs learned by DRBMs on each cluster and discover dominant FCs that play a major role in discriminating between ASD and NC. Hum Brain Mapp 38:5804-5821, 2017. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Tae-Eui Kam
- Department of Computer Science and Engineering, Korea University, Seoul, Republic of Korea
| | - Heung-Il Suk
- Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea
| | - Seong-Whan Lee
- Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea
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Murdaugh DL, Maximo JO, Cordes CE, O'Kelley SE, Kana RK. From word reading to multisentence comprehension: Improvements in brain activity in children with autism after reading intervention. NEUROIMAGE-CLINICAL 2017; 16:303-312. [PMID: 28856093 PMCID: PMC5565787 DOI: 10.1016/j.nicl.2017.08.012] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/05/2016] [Revised: 06/13/2017] [Accepted: 08/12/2017] [Indexed: 12/22/2022]
Abstract
Background Children with ASD show a unique reading profile characterized by decoding abilities equivalent to verbal abilities, but with lower comprehension skills. Neuroimaging studies have found recruitment of regions primarily associated with visual processing (e.g., fusiform gyrus and medial parietal cortex), but reduced activation in frontal and temporal regions, when reading in adults with ASD. The purpose of this study was to assess neural changes associated with an intense reading intervention program in children with ASD using three fMRI tasks of reading. Methods 25 children with ASD were randomly assigned to a treatment (ASD-EXP) or waitlist group (ASD-WLC). Children participated in a reading intervention program (4-hour sessions per day, 5 days a week for 10 weeks). We utilized three tasks: word, sentence, and multisentence processing, each with differential demands of reading comprehension. fMRI data were acquired at each of two scanning sessions 10-weeks apart. Results Across tasks, post-intervention results revealed that the ASD-EXP group showed greater activation in bilateral precentral gyrus and the postcentral gyrus, visual processing regions (e.g., occipital cortex, fusiform gyrus), and frontal regions. In the word task, left thalamus and the right angular gyrus (AG) activation was unique to the ASD-EXP group post-intervention. Sentence tasks showed differential activation of core language areas (e.g., IFG, IPL) post-intervention. Conclusions Our results provide evidence for differential recruitment of brain regions based on task demands in children with ASD, and support the potential of targeted interventions to alter brain activation in response to positive gains in treatment. Children with ASD have a different reading profile from other reading disorders that needs to be specifically targeted in interventions.
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Key Words
- ADI, Autism Diagnostic Interview-Revised
- ADOS, Autism Diagnostic Observation Schedule
- ASD, autism spectrum disorder
- ASD-EXP, children with ASD in the treatment group
- ASD-WLC, children with ASD in the waitlist control group
- Children with ASD
- GORT-4, Gray Oral Reading Test – Fourth Edition
- Intervention
- LFFG, left fusiform gyrus
- LIFG, left inferior frontal gyrus
- LIOG, left inferior occipital gyrus
- LMFG, left middle frontal gyrus
- LPCG, left precentral gyrus
- LSMA, left supplementary motor area
- LSPL, left superior parietal lobule
- LSTG, left superior temporal gyrus
- LTHAL, left thalamus
- Reading comprehension
- SORT-R, Slosson Oral Reading Test - Revised
- V/V, Visualizing and Verbalizing
- WASI, Wechsler Abbreviated Scale of Intelligence
- fMRI
- fMRI, functional magnetic resonance imaging
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Affiliation(s)
- Donna L. Murdaugh
- Department of Psychology, University of Alabama at Birmingham, Birmingham, AL, USA
- Children's Healthcare of Atlanta, Atlanta, GA, USA
| | - Jose O. Maximo
- Department of Psychology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Claire E. Cordes
- Department of Psychology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Sarah E. O'Kelley
- Department of Psychology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Rajesh K. Kana
- Department of Psychology, University of Alabama at Birmingham, Birmingham, AL, USA
- Corresponding author at: Department of Psychology, University of Alabama, Birmingham, CIRC 235G, 1719 6th Ave South, Birmingham, AL 35294-0021, USA.
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Dynamic changes of resting state connectivity related to the acquisition of a lexico-semantic skill. Neuroimage 2017; 146:429-437. [DOI: 10.1016/j.neuroimage.2016.08.065] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2016] [Revised: 08/21/2016] [Accepted: 08/31/2016] [Indexed: 01/31/2023] Open
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Fang S, Wang Y, Jiang T. In Reply to the Letter to the Editor “Tumor-Induced Brain Plasticity: Challenging Theories on the Neural Basis for Language”. World Neurosurg 2017; 98:845. [DOI: 10.1016/j.wneu.2016.08.074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2016] [Accepted: 08/17/2016] [Indexed: 10/20/2022]
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Fiecas M, Cribben I, Bahktiari R, Cummine J. A variance components model for statistical inference on functional connectivity networks. Neuroimage 2017; 149:256-266. [PMID: 28130192 DOI: 10.1016/j.neuroimage.2017.01.051] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2016] [Revised: 01/19/2017] [Accepted: 01/21/2017] [Indexed: 01/06/2023] Open
Abstract
We propose a variance components linear modeling framework to conduct statistical inference on functional connectivity networks that directly accounts for the temporal autocorrelation inherent in functional magnetic resonance imaging (fMRI) time series data and for the heterogeneity across subjects in the study. The novel method estimates the autocorrelation structure in a nonparametric and subject-specific manner, and estimates the variance due to the heterogeneity using iterative least squares. We apply the new model to a resting-state fMRI study to compare the functional connectivity networks in both typical and reading impaired young adults in order to characterize the resting state networks that are related to reading processes. We also compare the performance of our model to other methods of statistical inference on functional connectivity networks that do not account for the temporal autocorrelation or heterogeneity across the subjects using simulated data, and show that by accounting for these sources of variation and covariation results in more powerful tests for statistical inference.
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Affiliation(s)
- Mark Fiecas
- Division of Biostatistics, University of Minnesota, Minneapolis, MN 55455, USA.
| | - Ivor Cribben
- Department of Finance and Statistical Analysis, Alberta School of Business, University of Alberta, Edmonton, AB, Canada T6G 2R6
| | - Reyhaneh Bahktiari
- Department of Communication Sciences and Disorders, Faculty of Rehabilitation Medicine and Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada T6G 2G4
| | - Jacqueline Cummine
- Department of Communication Sciences and Disorders, Faculty of Rehabilitation Medicine and Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada T6G 2G4
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Calderoni S, Billeci L, Narzisi A, Brambilla P, Retico A, Muratori F. Rehabilitative Interventions and Brain Plasticity in Autism Spectrum Disorders: Focus on MRI-Based Studies. Front Neurosci 2016; 10:139. [PMID: 27065795 PMCID: PMC4814657 DOI: 10.3389/fnins.2016.00139] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2015] [Accepted: 03/18/2016] [Indexed: 12/20/2022] Open
Abstract
Clinical and research evidence supports the efficacy of rehabilitative intervention for improving targeted skills or global outcomes in individuals with autism spectrum disorder (ASD). However, putative mechanisms of structural and functional brain changes are poorly understood. This review aims to investigate the research literature on the neural circuit modifications after non-pharmacological intervention. For this purpose, longitudinal studies that used magnetic resonance imaging (MRI)-based techniques at the start and at the end of the trial to evaluate the neural effects of rehabilitative treatment in subjects with ASD were identified. The six included studies involved a limited number of patients in the active group (from 2 to 16), and differed by acquisition method (task-related and resting-state functional MRI) as well as by functional MRI tasks. Overall, the results produced by the selected investigations demonstrated brain plasticity during the treatment interval that results in an activation/functional connectivity more similar to those of subjects with typical development (TD). Repeated MRI evaluation may represent a promising tool for the detection of neural changes in response to treatment in patients with ASD. However, large-scale randomized controlled trials after standardized rehabilitative intervention are required before translating these preliminary results into clinical use.
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Affiliation(s)
| | - Lucia Billeci
- Department of Clinical and Experimental Medicine, University of Pisa Pisa, Italy
| | | | - Paolo Brambilla
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of MilanMilan, Italy; Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at HoustonHouston, TX, USA
| | | | - Filippo Muratori
- IRCCS Stella Maris FoundationPisa, Italy; Department of Clinical and Experimental Medicine, University of PisaPisa, Italy
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Herringshaw AJ, Ammons CJ, DeRamus TP, Kana RK. Hemispheric differences in language processing in autism spectrum disorders: A meta-analysis of neuroimaging studies. Autism Res 2016; 9:1046-1057. [DOI: 10.1002/aur.1599] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2015] [Revised: 12/03/2015] [Accepted: 12/06/2015] [Indexed: 01/01/2023]
Affiliation(s)
- Abbey J. Herringshaw
- Department of Psychology; University of Alabama at Birmingham; Birmingham Alabama
| | - Carla J. Ammons
- Department of Psychology; University of Alabama at Birmingham; Birmingham Alabama
| | - Thomas P. DeRamus
- Department of Psychology; University of Alabama at Birmingham; Birmingham Alabama
| | - Rajesh K. Kana
- Department of Psychology; University of Alabama at Birmingham; Birmingham Alabama
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