Inter-individual heterogeneity of functional brain networks in children with autism spectrum disorder

American Psychiatric Association. Diagnostic and statistical manual of mental disorders (DSM-5®). Arlington: American Psychiatric Publishing. 2013.

Huerta M, Lord C. Diagnostic evaluation of autism spectrum disorders. Pediatr Clin. 2012;59(1):103–11.

Google Scholar 

Lombardo MV, Lai MC, Baron-Cohen S. Big data approaches to decomposing heterogeneity across the autism spectrum. Mol Psychiatry. 2019;24(10):1435–50.

Article  Google Scholar 

Lombardo MV, Pramparo T, Gazestani V, Warrier V, Bethlehem RAI, Carter Barnes C, et al. Large-scale associations between the leukocyte transcriptome and BOLD responses to speech differ in autism early language outcome subtypes. Nat Neurosci. 2018;21(12):1680–8.

Article  CAS  Google Scholar 

Wing L, Potter D. The epidemiology of autistic spectrum disorders: is the prevalence rising? Ment Retard Dev Disabil Res Rev. 2002;8(3):151–61.

Article  Google Scholar 

Rane P, Cochran D, Hodge SM, Haselgrove C, Kennedy DN, Frazier JA. Connectivity in autism: a review of MRI connectivity studies. Harv Rev Psychiatry. 2015;23(4):223–44.

Article  Google Scholar 

Muller RA, Shih P, Keehn B, Deyoe JR, Leyden KM, Shukla DK. Underconnected, but how? a survey of functional connectivity MRI studies in autism spectrum disorders. Cereb Cortex. 2011;21(10):2233–43.

Article  Google Scholar 

Guo X, Duan X, Long Z, Chen H, Wang Y, Zheng J, et al. Decreased amygdala functional connectivity in adolescents with autism: a resting-state fMRI study. Psychiatry Res Neuroimaging. 2016;257:47–56.

Article  Google Scholar 

McKinnon CJ, Eggebrecht AT, Todorov A, Wolff JJ, Elison JT, Adams CM, et al. Restricted and repetitive behavior and brain functional connectivity in infants at risk for developing autism spectrum disorder. Biol Psychiatry-Cognit Neurosci Neuroimaging. 2019;4(1):50–61.

Google Scholar 

Lynch CJ, Uddin LQ, Supekar K, Khouzam A, Phillips J, Menon V. Default mode network in childhood autism: posteromedial cortex heterogeneity and relationship with social deficits. Biol Psychiatry. 2013;74(3):212–9.

Article  Google Scholar 

Just MA, Cherkassky VL, Keller TA, Minshew NJ. Cortical activation and synchronization during sentence comprehension in high-functioning autism: evidence of underconnectivity. Brain. 2004;127(8):1811–21.

Article  Google Scholar 

Belmonte MK, Allen G, Beckel-Mitchener A, Boulanger LM, Carper RA, Webb SJ. Autism and abnormal development of brain connectivity. J Neurosci. 2004;24(42):9228–31.

Article  CAS  Google Scholar 

Supekar K, Uddin Lucina Q, Khouzam A, Phillips J, Gaillard William D, Kenworthy Lauren E, et al. Brain hyperconnectivity in children with autism and its links to social deficits. Cell Rep. 2013;5(3):738–47.

Article  CAS  Google Scholar 

Padmanabhan A, Lynn A, Foran W, Luna B, O’Hearn K. Age related changes in striatal resting state functional connectivity in autism. Front Hum Neurosci. 2013;7:814.

Article  Google Scholar 

Hull JV, Dokovna LB, Jacokes ZJ, Torgerson CM, Irimia A, Van Horn JD. Resting-state functional connectivity in autism spectrum disorders: a review. Front Psych. 2017;7:205.

Article  Google Scholar 

Agelink van Rentergem JA, Deserno MK, Geurts HM. Validation strategies for subtypes in psychiatry: a systematic review of research on autism spectrum disorder. Clin Psychol Rev. 2021;87:102033.

Article  Google Scholar 

Fan Y-S, Li L, Peng Y, Li H, Guo J, Li M, et al. Individual-specific functional connectome biomarkers predict schizophrenia positive symptoms during adolescent brain maturation. Hum Brain Mapp. 2020. https://doi.org/10.1002/hbm.25307.

Article  Google Scholar 

Katuwal GJ, Baum SA, Cahill ND, Michael AM. Divide and conquer: sub-grouping of ASD improves ASD detection based on brain morphometry. PLoS ONE. 2016;11(4):e0153331.

Article  Google Scholar 

Hong S-J, Valk SL, Di Martino A, Milham MP, Bernhardt BC. Multidimensional neuroanatomical subtyping of autism spectrum disorder. Cereb Cortex. 2018;28(10):3578–88.

Article  Google Scholar 

Easson AK, Fatima Z, McIntosh AR. Functional connectivity-based subtypes of individuals with and without autism spectrum disorder. Netw Neurosci. 2019;3(2):344–62.

Article  Google Scholar 

Hahamy A, Behrmann M, Malach R. The idiosyncratic brain: distortion of spontaneous connectivity patterns in autism spectrum disorder. Nat Neurosci. 2015;18(2):302–9.

Article  CAS  Google Scholar 

Di Martino A, Yan CG, Li Q, Denio E, Castellanos FX, Alaerts K, et al. The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism. Mol Psychiatry. 2014;19(6):659–67.

Article  Google Scholar 

Guo X, Duan X, Chen H, He C, Xiao J, Han S, et al. Altered inter- and intrahemispheric functional connectivity dynamics in autistic children. Hum Brain Mapp. 2020;41(2):419–28.

Article  Google Scholar 

Yan C, Zang Y. DPARSF: a MATLAB toolbox for" pipeline" data analysis of resting-state fMRI. Front Syst Neurosci. 2010. https://doi.org/10.3389/fnsys.2010.00013/full.

Article  Google Scholar 

Friston KJ, Williams S, Howard R, Frackowiak RS, Turner R. Movement-related effects in fMRI time-series. Magn Reson Med. 1996;35(3):346–55.

Article  CAS  Google Scholar 

Satterthwaite TD, Wolf DH, Loughead J, Ruparel K, Elliott MA, Hakonarson H, et al. Impact of in-scanner head motion on multiple measures of functional connectivity: relevance for studies of neurodevelopment in youth. Neuroimage. 2012;60(1):623–32.

Article  Google Scholar 

Yan C-G, Cheung B, Kelly C, Colcombe S, Craddock RC, Di Martino A, et al. A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics. Neuroimage. 2013;76:183–201.

Article  Google Scholar 

Power JD, Barnes KA, Snyder AZ, Schlaggar BL, Petersen SE. Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion. Neuroimage. 2012;59(3):2142–54.

Article  Google Scholar 

Chen H, Uddin LQ, Guo X, Wang J, Wang R, Wang X, et al. Parsing brain structural heterogeneity in males with autism spectrum disorder reveals distinct clinical subtypes. Hum Brain Mapp. 2019;40(2):628–37.

Article  Google Scholar 

Chen H, Nomi JS, Uddin LQ, Duan X, Chen H. Intrinsic functional connectivity variance and state-specific under-connectivity in autism. Hum Brain Mapp. 2017;38(11):5740–55.

Article  Google Scholar 

Guo X, Duan X, Suckling J, Chen H, Liao W, Cui Q, et al. Partially impaired functional connectivity states between right anterior insula and default mode network in autism spectrum disorder. Hum Brain Mapp. 2019;40(4):1264–75.

Article  Google Scholar 

Power JD, Cohen AL, Nelson SM, Wig GS, Barnes KA, Church JA, et al. Functional network organization of the human brain. Neuron. 2011;72(4):665–78.

Article  CAS  Google Scholar 

Cole MW, Reynolds JR, Power JD, Repovs G, Anticevic A, Braver TS. Multi-task connectivity reveals flexible hubs for adaptive task control. Nat Neurosci. 2013;16(9):1348–55.

Article  CAS  Google Scholar 

Murphy K, Birn RM, Handwerker DA, Jones TB, Bandettini PA. The impact of global signal regression on resting state correlations: are anti-correlated networks introduced? Neuroimage. 2009;44(3):893–905.

Article  Google Scholar 

Fox MD, Snyder AZ, Vincent JL, Corbetta M, Van Essen DC, Raichle ME. The human brain is intrinsically organized into dynamic, anticorrelated functional networks. Proc Natl Acad Sci. 2005;102(27):9673–8.

Article  CAS  Google Scholar 

Lord C, Risi S, Lambrecht L, Cook EH, Leventhal BL, DiLavore PC, et al. The autism diagnostic observation schedule—generic: a standard measure of social and communication deficits associated with the spectrum of autism. J Autism Dev Disord. 2000;30(3):205–23.

Article  CAS  Google Scholar 

Drucker H, Burges CJ, Kaufman L, Smola A, Vapnik V. Support vector regression machines. Adv Neural Inf Process Syst. 1997;9:155-61.

Google Scholar 

Fan R-E, Chang K-W, Hsieh C-J, Wang X-R, Lin C-J. LIBLINEAR: A library for large linear classification. J Mach Learn Res. 2008;9:1871–4.

Google Scholar 

Schölkopf B, Smola AJ, Bach F. Learning with kernels: support vector machines, regularization, optimization, and beyond. Cambridge: MIT Press; 2002.

Google Scholar 

Golland P, Fischl B, editors. Permutation tests for classification: towards statistical significance in image-based studies. In: Biennial international conference on information processing in medical imaging. Springer; 2003.

Werner E, Dawson G. Validation of the phenomenon of autistic regression using home videotapes. Arch Gen Psychiatry. 2005;62(8):889–95.

Article  CAS  Google Scholar 

Chen C, Bailey B, Muller R, editors. Towards autism subtypes? Unsupervised machine learning using fcMRI features. In: Oral presentation at the organization for human brain mapping annual meeting, Honolulu, HI, USA; 2015.

Aylward EH, Minshew NJ, Field K, Sparks B, Singh N. Effects of age on brain volume and head circumference in autism. Neurology. 2002;59(2):175–83.

Article  CAS  Google Scholar 

Lin HY, Ni HC, Lai MC, Tseng WYI, Gau SSF. Regional brain volume differences between males with and without autism spectrum disorder are highly age-dependent. Mol Autism. 2015;6(1):1–18.

Article  Google Scholar 

He C, Chen H, Uddin LQ, Erramuzpe A, Bonifazi P, Guo X, et al. Structure-function connectomics reveals aberrant developmental trajectory occurring at preadolescence in the autistic brain. Cereb Cortex. 2020;30(9):5028–37.

Article  Google Scholar 

Salmond CH, Vargha-Khadem F, Gadian DG, de Haan M, Baldeweg T. Heterogeneity in the patterns of neural abnormality in autistic spectrum disorders: evidence from ERP and MRI. Cortex. 2007;43(6):686–99.

Article  Google Scholar 

Lai M-C, Lombardo MV, Suckling J, Ruigrok AN, Chakrabarti B, Ecker C, et al. Biological sex affects the neurobiology of autism. Brain. 2013;136(9):2799–815.

Article  Google Scholar 

Reardon AM, Li K, Langley J, Hu XP. Subtyping autism spectrum disorder via joint modeling of clinical and connectomic profiles. Brain Connect. 2022;12(2):193–205.

Google Scholar 

Maximo JO, Kana RK. Aberrant “deep connectivity” in autism: a cortico–subcortical functional connectivity magnetic resonance imaging study. Autism Res. 2019;12(3):384–400.

Article  Google Scholar 

Gotts SJ, Simmons WK, Milbury LA, Wallace GL, Cox RW, Martin A. Fractionation of social brain circuits in autism spectrum disorders. Brain J Neurol. 2012;135(Pt 9):2711–25.

Article  Google Scholar 

Qi S, Morris R, Turner JA, Fu Z, Jiang R, Deramus TP, et al. Common and unique multimodal covarying patterns in autism spectrum disorder subtypes. Mol Autism. 2020;11(1):1–15.

Article  Google Scholar

留言 (0)

沒有登入
gif