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Ruan L, Chen G, Yao M, Li C, Chen X, Luo H, Ruan J, Zheng Z, Zhang D, Liang S, Lü M. Brain functional gradient and structure features in adolescent and adult autism spectrum disorders. Hum Brain Mapp 2024; 45:e26792. [PMID: 39037170 PMCID: PMC11261594 DOI: 10.1002/hbm.26792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Revised: 06/16/2024] [Accepted: 07/06/2024] [Indexed: 07/23/2024] Open
Abstract
Understanding how function and structure are organized and their coupling with clinical traits in individuals with autism spectrum disorder (ASD) is a primary goal in network neuroscience research for ASD. Atypical brain functional networks and structures in individuals with ASD have been reported, but whether these associations show heterogeneous hierarchy modeling in adolescents and adults with ASD remains to be clarified. In this study, 176 adolescent and 74 adult participants with ASD without medication or comorbidities and sex, age matched healthy controls (HCs) from 19 research groups from the openly shared Autism Brain Imaging Data Exchange II database were included. To investigate the relationship between the functional gradient, structural changes, and clinical symptoms of brain networks in adolescents and adults with ASD, functional gradient and voxel-based morphometry (VBM) analyses based on 1000 parcels defined by Schaefer mapped to Yeo's seven-network atlas were performed. Pearson's correlation was calculated between the gradient scores, gray volume and density, and clinical traits. The subsystem-level analysis showed that the second gradient scores of the default mode networks and frontoparietal network in patients with ASD were relatively compressed compared to adolescent HCs. Adult patients with ASD showed an overall compression gradient of 1 in the ventral attention networks. In addition, the gray density and volumes of the subnetworks showed no significant differences between the ASD and HC groups at the adolescent stage. However, adults with ASD showed decreased gray density in the limbic network. Moreover, numerous functional gradient parameters, but not VBM parameters, in adolescents with ASD were considerably correlated with clinical traits in contrast to those in adults with ASD. Our findings proved that the atypical changes in adolescent ASD mainly involve the brain functional network, while in adult ASD, the changes are more related to brain structure, including gray density and volume. These changes in functional gradients or structures are markedly correlated with clinical traits in patients with ASD. Our study provides a novel understanding of the pathophysiology of the structure-function hierarchy in ASD.
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Affiliation(s)
- Lili Ruan
- Department of NeurologyThe Affiliated Hospital of Southwest Medical UniversityLuzhouChina
- Laboratory of Neurological Diseases and Brain FunctionLuzhouChina
| | - Guangxiang Chen
- Department of RadiologyThe Affiliated Hospital of Southwest Medical UniversityLuzhouChina
| | - Menglin Yao
- College of Integrated MedicineSouthwest Medical UniversityLuzhouChina
| | - Cheng Li
- Department of PediatricsThe Affiliated Hospital of Southwest Medical UniversityLuzhouChina
- Sichuan Clinical Research Center for Birth DefectsLuzhouChina
| | - Xiu Chen
- Department of NeurologyThe Affiliated Hospital of Southwest Medical UniversityLuzhouChina
- Laboratory of Neurological Diseases and Brain FunctionLuzhouChina
| | - Hua Luo
- Department of NeurologyThe Affiliated Hospital of Southwest Medical UniversityLuzhouChina
- Laboratory of Neurological Diseases and Brain FunctionLuzhouChina
| | - Jianghai Ruan
- Department of NeurologyThe Affiliated Hospital of Southwest Medical UniversityLuzhouChina
- Laboratory of Neurological Diseases and Brain FunctionLuzhouChina
| | - Zhong Zheng
- Center for Neurological Function Test and Neuromodulation, West China Xiamen HospitalSichuan UniversityXiamenChina
| | - Dechou Zhang
- Department of NeurologySouthwest Medical University Affiliated Hospital of Traditional Chinese MedicineLuzhouChina
| | - Sicheng Liang
- Department of GastroenterologyThe Affiliated Hospital of Southwest Medical UniversityLuzhouChina
| | - Muhan Lü
- Department of GastroenterologyThe Affiliated Hospital of Southwest Medical UniversityLuzhouChina
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Lau WKW, Leung MK, Poon K, Zhang R. Early diagnosis of autism spectrum disorder using structural connectivity biomarker. PSYCHORADIOLOGY 2024; 4:kkae004. [PMID: 38666136 PMCID: PMC11002782 DOI: 10.1093/psyrad/kkae004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 03/14/2024] [Accepted: 03/18/2024] [Indexed: 04/28/2024]
Affiliation(s)
- Way K W Lau
- Department of Health Sciences, Hong Kong Metropolitan University, Hong Kong 00000, China
| | - Mei-Kei Leung
- Department of Counselling and Psychology, Hong Kong Shue Yan University, Hong Kong 00000, China
| | - Kean Poon
- School of Education, The University of New South Wales, 2052, Australia
| | - Ruibin Zhang
- Laboratory of Cognitive Control and Brain Healthy, Department of Psychology, School of Public Health, Southern Medical University, Guangzhou 510515, People's Republic of China
- Department of Psychiatry, Zhujiang Hospital, Southern Medical University, Guangzhou 510515, People's Republic of China
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Wang C, Shen Y, Cheng M, Zhu Z, Lv Y, Zhang X, Feng Z, Yang Z, Zhao X. Cortical gray-white matter contrast abnormalities in male children with attention deficit hyperactivity disorder. Front Hum Neurosci 2023; 17:1303230. [PMID: 38188507 PMCID: PMC10768013 DOI: 10.3389/fnhum.2023.1303230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Accepted: 12/08/2023] [Indexed: 01/09/2024] Open
Abstract
Purpose Presently, research concerning alterations in brain structure among individuals with attention deficit hyperactivity disorder (ADHD) predominantly focuses on entire brain volume and cortical thickness. In this study, we extend our examination to the cortical microstructure of male children with ADHD. To achieve this, we employ the gray-white matter tissue contrast (GWC) metric, allowing for an assessment of modifications in gray matter density and white matter microstructure. Furthermore, we explore the potential connection between GWC and the severity of disorder in male children by ADHD. Methods We acquired 3DT1 sequences from the public ADHD-200 database. In this study, we conducted a comparative analysis between 43 male children diagnosed with ADHD and 50 age-matched male controls exhibiting typical development trajectories. Our investigation entailed assessing differences in GWC and cortical thickness. Additionally, we explored the potential correlation between GWC and the severity of ADHD. To delineate the cerebral landscape, each hemisphere was subdivided into 34 cortical regions using freesurfer 7.2.0. For quantification, GWC was computed by evaluating the intensity contrast of non-normalized T1 images above and below the gray-white matter interface. Results Our findings unveiled elevated GWC within the bilateral lingual, bilateral insular, left transverse temporal, right parahippocampal and right pericalcarine regions in male children with ADHD when contrasted with their healthy counterparts. Moreover, the cortical thickness in the ADHD group no notable distinctions that of control group in all areas. Intriguingly, the GWC of left transverse temporal demonstrated a negative correlation with the extent of inattention experienced by male children with ADHD. Conclusion Utilizing GWC as a metric facilitates a more comprehensive assessment of microstructural brain changes in children with ADHD. The fluctuations in GWC observed in specific brain regions might serve as a neural biomarker, illuminating structural modifications in male children grappling with ADHD. This perspective enriches our comprehension of white matter microstructure and cortical density in these children. Notably, the inverse correlation between the GWC of the left transverse temporal and inattention severity underscores the potential role of structural and functional anomalies within this region in ADHD progression. Enhancing our insight into ADHD-related brain changes holds significant promise in deciphering potential neuropathological mechanisms.
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Affiliation(s)
- Changhao Wang
- Department of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan International Joint Laboratory of Neuroimaging, Zhengzhou, China
| | - Yanyong Shen
- Department of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan International Joint Laboratory of Neuroimaging, Zhengzhou, China
| | - Meiying Cheng
- Department of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan International Joint Laboratory of Neuroimaging, Zhengzhou, China
| | - Zitao Zhu
- Medicine Division, Wuhan University, Wuhan, China
| | - Yuan Lv
- Medical Research Center, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Henan Joint International Laboratory of Glioma Metabolism and Microenvironment Research, Henan Provincial Department of Science and Technology, Zhengzhou, Henan, China
- Institute of Neuroscience, Zhengzhou University, Zhengzhou, Henan, China
| | - Xiaoxue Zhang
- Department of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan International Joint Laboratory of Neuroimaging, Zhengzhou, China
| | - Zhanqi Feng
- Department of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan International Joint Laboratory of Neuroimaging, Zhengzhou, China
| | - Zhexuan Yang
- Department of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan International Joint Laboratory of Neuroimaging, Zhengzhou, China
| | - Xin Zhao
- Department of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan International Joint Laboratory of Neuroimaging, Zhengzhou, China
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