Altered inter- and intrahemispheric functional connectivity dynamics in autistic children

被引:56
|
作者
Guo, Xiaonan [1 ,2 ]
Duan, Xujun [1 ,2 ]
Chen, Heng [1 ,2 ,3 ]
He, Changchun [1 ,2 ]
Xiao, Jinming [1 ,2 ]
Han, Shaoqiang [1 ,2 ]
Fan, Yun-Shuang [1 ,2 ]
Guo, Jing [1 ,2 ]
Chen, Huafu [1 ,2 ]
机构
[1] Univ Elect Sci & Technol China, Clin Hosp, Chengdu Brain Sci Inst, MOE Key Lab Neuroinformat, Chengdu 610054, Sichuan, Peoples R China
[2] Univ Elect Sci & Technol China, Ctr Informat BioMed, Sch Life Sci & Technol, Chengdu 610054, Sichuan, Peoples R China
[3] Guizhou Univ, Sch Med, Guiyang, Guizhou, Peoples R China
基金
中国国家自然科学基金; 高等学校博士学科点专项科研基金;
关键词
autism spectrum disorder; dynamic functional connectivity; interhemisphere; intrahemisphere; resting-state functional magnetic resonance imaging; RESTING-STATE NETWORKS; SPECTRUM DISORDER; CORTICAL UNDERCONNECTIVITY; UNDER-CONNECTIVITY; EYES OPEN; BRAIN; FMRI; VARIABILITY; SYNCHRONIZATION; NEUROBIOLOGY;
D O I
10.1002/hbm.24812
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Emerging evidence has associated autism spectrum disorder (ASD) with static functional connectivity abnormalities between multiple brain regions. However, the temporal dynamics of intra- and interhemispheric functional connectivity patterns remain unknown in ASD. Resting-state functional magnetic resonance imaging data were analyzed for 105 ASD and 102 demographically matched typically developing control (TC) children (age range: 7-12 years) available from the Autism Brain Imaging Data Exchange database. Whole-brain functional connectivity was decomposed into ipsilateral and contralateral functional connectivity, and sliding-window analysis was utilized to capture the intra- and interhemispheric dynamic functional connectivity density (dFCD) patterns. The temporal variability of the functional connectivity dynamics was further quantified using the standard deviation (SD) of intra- and interhemispheric dFCD across time. Finally, a support vector regression model was constructed to assess the relationship between abnormal dFCD variance and autism symptom severity. Both intra- and interhemispheric comparisons showed increased dFCD variability in the anterior cingulate cortex/medial prefrontal cortex and decreased variability in the fusiform gyrus/inferior temporal gyrus in autistic children compared with TC children. Autistic children additionally showed lower intrahemispheric dFCD variability in sensorimotor regions including the precentral/postcentral gyrus. Moreover, aberrant temporal variability of the contralateral dFCD predicted the severity of social communication impairments in autistic children. These findings demonstrate altered temporal dynamics of the intra- and interhemispheric functional connectivity in brain regions incorporating social brain network of ASD, and highlight the potential role of abnormal interhemispheric communication dynamics in neural substrates underlying impaired social processing in ASD.
引用
收藏
页码:419 / 428
页数:10
相关论文
共 50 条
  • [1] Inter- and Intrahemispheric Connectivity Differences When Reading Japanese Kanji and Hiragana
    Duncan, Keith J. Kawabata
    Twomey, Tae
    Jones, Oiwi Parker
    Seghier, Mohamed L.
    Haji, Tomoki
    Sakai, Katsuyuki
    Price, Cathy J.
    Devlin, Joseph T.
    [J]. CEREBRAL CORTEX, 2014, 24 (06) : 1601 - 1608
  • [2] EEG coherence changes during finger tapping in acallosal and normal children: a study of inter- and intrahemispheric connectivity
    Knyazeva, M
    Koeda, T
    Njiokiktjien, C
    Jonkman, EJ
    Kurganskaya, M
    de Sonneville, L
    Vildavsky, V
    [J]. BEHAVIOURAL BRAIN RESEARCH, 1997, 89 (1-2) : 243 - 258
  • [3] Dynamics of the Processes of Inter- and Intrahemispheric Interactions (Functional Connectivity) of the Brain Motor Zones Responsible for Walking in Neurorehabilitation of Patients with Focal Lesions of the Central Nervous System
    Saenko I.V.
    Chernikova L.A.
    Khizhnikova A.E.
    Kremneva E.I.
    Kozlovskaya I.B.
    [J]. Human Physiology, 2021, 47 (7) : 767 - 773
  • [4] Inter- and intrahemispheric functional organization of brain cortex in artists during creative process
    Dikiy, Igor Sergeevich
    Dikaya, Liudmila Alexandrovna
    Karpova, Viktoriya Viktorovna
    [J]. INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY, 2014, 94 (02) : 161 - 161
  • [5] ALTERED INTER-HEMISPHERIC FUNCTIONAL CONNECTIVITY DYNAMICS IN BIPOLAR DISORDER
    Yang Yang
    Cui Qian
    Chen Huafu
    [J]. 2020 17TH INTERNATIONAL COMPUTER CONFERENCE ON WAVELET ACTIVE MEDIA TECHNOLOGY AND INFORMATION PROCESSING (ICCWAMTIP), 2020, : 334 - 337
  • [6] Stability of EEG inter- and intrahemispheric correlation in women
    CorsiCabrera, M
    SolisOrtiz, S
    Guevara, MA
    [J]. ELECTROENCEPHALOGRAPHY AND CLINICAL NEUROPHYSIOLOGY, 1997, 102 (03): : 248 - 255
  • [7] Maturation of the Language Network: From Inter- to Intrahemispheric Connectivities
    Friederici, Angela D.
    Brauer, Jens
    Lohmann, Gabriele
    [J]. PLOS ONE, 2011, 6 (06):
  • [8] Inter- and intrahemispheric EEG coherence during light drowsiness
    Wada, Y
    Nanbu, Y
    Koshino, Y
    Shimada, Y
    Hashimoto, T
    [J]. CLINICAL ELECTROENCEPHALOGRAPHY, 1996, 27 (02): : 84 - 88
  • [9] Anatomic and Functional Connectivity Relationship in Autistic Children
    Machado, Yanin
    Chinchilla, Mauricio
    Machado, Yazmina
    Machado, Calixto
    Estevez, Mario
    Leisman, Gerry
    Defina, Philip
    [J]. NEUROLOGY, 2018, 90
  • [10] Investigating the balance between inter- and intrahemispheric connectivity brain structural connectivity in multiple sclerosis. Validation in a multi-center study
    Marti-Juan, Gerard
    Sastre-Garriga, Jaume
    Vidal-Jordana, Angela
    De Las Heras, Eloy
    Llufriu, Sara
    Groppa, Sergiu
    Gonzalez Escamilla, Gabriel
    Assunta Rocca, Maria
    Filippi, Massimo
    Hogestol, Einar A.
    Flinstad Harbo, Hanne
    Foster, Michael
    Collorone, Sara
    Toosy, Ahmed
    Schoonheim, Menno
    Tewarie, Preejas
    Strijbis, Eva
    Pontillo, Giuseppe
    Petracca, Maria
    Deco, Gustavo
    Rovira Canellas, Alex
    Pareto, Deborah
    [J]. MULTIPLE SCLEROSIS JOURNAL, 2023, 29 : 11 - 13