Evidence of shared and distinct functional and structural brain signatures in schizophrenia and autism spectrum disorder

被引:32
作者
Du, Yuhui [1 ,2 ]
Fu, Zening [2 ]
Xing, Ying [1 ]
Lin, Dongdong [2 ]
Pearlson, Godfrey [3 ]
Kochunov, Peter [4 ]
Hong, L. Elliot [4 ]
Qi, Shile [2 ]
Salman, Mustafa [2 ]
Abrol, Anees [2 ]
Calhoun, Vince D. [2 ]
机构
[1] Shanxi Univ, Sch Comp & Informat Technol, Taiyuan, Peoples R China
[2] Emory Univ, Georgia Inst Technol, Georgia State Univ, Triinst Ctr Translat Res Neuroimaging & Data Sci, Atlanta, GA 30322 USA
[3] Yale Univ, Dept Psychiat, New Haven, CT 06520 USA
[4] Univ Maryland, Sch Med, Dept Psychiat, Maryland Psychiat Res Ctr, Baltimore, MD 21201 USA
基金
美国国家卫生研究院; 中国国家自然科学基金;
关键词
DEFAULT MODE NETWORK; BIPOLAR DISORDER; GRAY-MATTER; CONNECTIVITY; PSYCHOSIS; ABNORMALITIES; INDIVIDUALS; INFORMATION; BRAINNETOME; CEREBELLUM;
D O I
10.1038/s42003-021-02592-2
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Schizophrenia (SZ) and autism spectrum disorder (ASD) share considerable clinical features and intertwined historical roots. It is greatly needed to explore their similarities and differences in pathophysiologic mechanisms. We assembled a large sample size of neuroimaging data (about 600 SZ patients, 1000 ASD patients, and 1700 healthy controls) to study the shared and unique brain abnormality of the two illnesses. We analyzed multi-scale brain functional connectivity among functional networks and brain regions, intra-network connectivity, and cerebral gray matter density and volume. Both SZ and ASD showed lower functional integration within default mode and sensorimotor domains, but increased interaction between cognitive control and default mode domains. The shared abnormalties in intra-network connectivity involved default mode, sensorimotor, and cognitive control networks. Reduced gray matter volume and density in the occipital gyrus and cerebellum were observed in both illnesses. Interestingly, ASD had overall weaker changes than SZ in the shared abnormalities. Interaction between visual and cognitive regions showed disorder-unique deficits. In summary, we provide strong neuroimaging evidence of the convergent and divergent changes in SZ and ASD that correlated with clinical features. Du et al used fMRI data from patients with schizophrenia (SZ) and autism spectrum disorder (ASD) to analyze multi-scale brain functional connectivity and cerebral grey matter density and volume. They demonstrated the presence of convergent and divergent changes in SZ and ASD that correlated with clinical features.
引用
收藏
页数:16
相关论文
共 76 条
  • [1] A baseline for the multivariate comparison of resting-state networks
    Allen, Elena A.
    Erhardt, Erik B.
    Damaraju, Eswar
    Gruner, William
    Segall, Judith M.
    Silva, Rogers F.
    Havlicek, Martin
    Rachakonda, Srinivas
    Fries, Jill
    Kalyanam, Ravi
    Michael, Andrew M.
    Caprihan, Arvind
    Turner, Jessica A.
    Eichele, Tom
    Adelsheim, Steven
    Bryan, Angela D.
    Bustillo, Juan
    Clark, Vincent P.
    Ewing, Sarah W. Feldstein
    Filbey, Francesca
    Ford, Corey C.
    Hutchison, Kent
    Jung, Rex E.
    Kiehl, Kent A.
    Kodituwakku, Piyadasa
    Komesu, Yuko M.
    Mayer, Andrew R.
    Pearlson, Godfrey D.
    Phillips, John P.
    Sadek, Joseph R.
    Stevens, Michael
    Teuscher, Ursina
    Thoma, Robert J.
    Calhoun, Vince D.
    [J]. FRONTIERS IN SYSTEMS NEUROSCIENCE, 2011, 5
  • [2] The role of the cerebellum in schizophrenia
    Andreasen, Nancy C.
    Pierson, Ronald
    [J]. BIOLOGICAL PSYCHIATRY, 2008, 64 (02) : 81 - 88
  • [3] Antipsychotic Dose Equivalents and Dose-Years: A Standardized Method for Comparing Exposure to Different Drugs
    Andreasen, Nancy C.
    Pressler, Marcus
    Nopoulos, Peg
    Miller, Del
    Ho, Beng-Choon
    [J]. BIOLOGICAL PSYCHIATRY, 2010, 67 (03) : 255 - 262
  • [4] Unified segmentation
    Ashburner, J
    Friston, KJ
    [J]. NEUROIMAGE, 2005, 26 (03) : 839 - 851
  • [5] Cognitive Impairment and Resting-State Network Connectivity in Parkinson's Disease
    Baggio, Hugo-Cesar
    Segura, Barbara
    Sala-Llonch, Roser
    Marti, Maria-Jose
    Valldeoriola, Francesc
    Compta, Yaroslau
    Tolosa, Eduardo
    Junque, Carme
    [J]. HUMAN BRAIN MAPPING, 2015, 36 (01) : 199 - 212
  • [6] Autism Spectrum Disorder and the Cerebellum
    Becker, Esther B. E.
    Stoodley, Catherine J.
    [J]. NEUROBIOLOGY OF AUTISM, 2013, 113 : 1 - 34
  • [7] Epilepsy in patients with autism: links, risks and treatment challenges
    Besag, Frank M. C.
    [J]. NEUROPSYCHIATRIC DISEASE AND TREATMENT, 2018, 14 : 1 - 10
  • [8] The Cerebellum and Cognitive Function: 25 Years of Insight from Anatomy and Neuroimaging
    Buckner, Randy L.
    [J]. NEURON, 2013, 80 (03) : 807 - 815
  • [9] A method for making group inferences from functional MRI data using independent component analysis
    Calhoun, VD
    Adali, T
    Pearlson, GD
    Pekar, JJ
    [J]. HUMAN BRAIN MAPPING, 2001, 14 (03) : 140 - 151
  • [10] A systematic review of sensory processing interventions for children with autism spectrum disorders
    Case-Smith, Jane
    Weaver, Lindy L.
    Fristad, Mary A.
    [J]. AUTISM, 2015, 19 (02) : 133 - 148