Neurodevelopment and cerebral blood flow in children aged 2-6 years with autism spectrum disorder

YIN Jia-Bao; WANG Gan-Yu; DUAN Gui-Qin; NIE Wen-Hao; ZHAO Ming-Fang; JIN Ting-Ting

doi:10.7499/j.issn.1008-8830.2401048

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Chinese Journal of Contemporary Pediatrics ›› 2024, Vol. 26 ›› Issue (6) : 599-604. DOI: 10.7499/j.issn.1008-8830.2401048

CLINICAL RESEARCH

Neurodevelopment and cerebral blood flow in children aged 2-6 years with autism spectrum disorder

YIN Jia-Bao, WANG Gan-Yu, DUAN Gui-Qin, NIE Wen-Hao, ZHAO Ming-Fang, JIN Ting-Ting

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Abstract

Objective To investigate the neurodevelopmental characteristics of children with autism spectrum disorder (ASD), analyze the correlation between neurodevelopmental indicators and cerebral blood flow (CBF), and explore the potential mechanisms of neurodevelopment in ASD children. Methods A retrospective study was conducted on 145 children aged 2-6 years with newly-diagnosed ASD. Scores from the Gesell Developmental Diagnosis Scale and the Autism Behavior Checklist (ABC) and CBF results were collected to compare gender differences in the development of children with ASD and analyze the correlation between CBF and neurodevelopmental indicators. Results Fine motor and personal-social development quotient in boys with ASD were lower than those in girls with ASD (P<0.05). Gross motor development quotient in ASD children was negatively correlated with CBF in the left frontal lobe (r=-0.200, P=0.016), right frontal lobe (r=-0.279, P=0.001), left parietal lobe (r=-0.208, P=0.012), and right parietal lobe (r=-0.187, P=0.025). The total ABC score was positively correlated with CBF in the left amygdala (r=0.295, P<0.001). Conclusions Early intervention training should pay attention to gender and developmental structural characteristics for precise intervention in ASD children. CBF has the potential to become a biological marker for assessing the severity of ASD.

Key words

Autism spectrum disorder / Developmental quotient / Cerebral blood flow / Arterial spin labeling / Child

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YIN Jia-Bao, WANG Gan-Yu, DUAN Gui-Qin, NIE Wen-Hao, ZHAO Ming-Fang, JIN Ting-Ting. Neurodevelopment and cerebral blood flow in children aged 2-6 years with autism spectrum disorder[J]. Chinese Journal of Contemporary Pediatrics. 2024, 26(6): 599-604 https://doi.org/10.7499/j.issn.1008-8830.2401048

References

1 Roehr B. American Psychiatric Association explains DSM-5[J]. BMJ, 2013, 346: f3591. PMID: 23744600. DOI: 10.1136/bmj.f3591.
2 吴满红, 邓雪梅, 林华照, 等. 孤独症谱系障碍与发育性语言障碍2~3岁儿童Gesell测评结果分析[J]. 中国儿童保健杂志, 2022, 30(8): 895-899. DOI: 10.11852/zgetbjzz2021-0706.
3 Azmitia EC, Saccomano ZT, Alzoobaee MF, et al. Persistent angiogenesis in the autism brain: an immunocytochemical study of postmortem cortex, brainstem and cerebellum[J]. J Autism Dev Disord, 2016, 46(4): 1307-1318. PMID: 26667147. PMCID: PMC4836621. DOI: 10.1007/s10803-015-2672-6.
4 Ouellette J, Lacoste B. From neurodevelopmental to neurodegenerative disorders: the vascular continuum[J]. Front Aging Neurosci, 2021, 13: 749026. PMID: 34744690. PMCID: PMC8570842. DOI: 10.3389/fnagi.2021.749026.
5 Tang S, Liu X, Ran Q, et al. Application of three-dimensional pseudocontinuous arterial spin labeling perfusion imaging in the brains of children with autism[J]. Front Neurol, 2022, 13: 851430. PMID: 35280268. PMCID: PMC8905523. DOI: 10.3389/fneur.2022.851430.
6 Ferré JC, Bannier E, Raoult H, et al. Arterial spin labeling (ASL) perfusion: techniques and clinical use[J]. Diagn Interv Imaging, 2013, 94(12): 1211-1223. PMID: 23850321. DOI: 10.1016/j.diii.2013.06.010.
7 Peterson BS, Zargarian A, Peterson JB, et al. Hyperperfusion of frontal white and subcortical gray matter in autism spectrum disorder[J]. Biol Psychiatry, 2019, 85(7): 584-595. PMID: 30711191. PMCID: PMC6420395. DOI: 10.1016/j.biopsych.2018.11.026.
8 Yerys BE, Herrington JD, Bartley GK, et al. Arterial spin labeling provides a reliable neurobiological marker of autism spectrum disorder[J]. J Neurodev Disord, 2018, 10(1): 32. PMID: 30541425. PMCID: PMC6292037. DOI: 10.1186/s11689-018-9250-0.
9 Ye F, Du L, Liu B, et al. Application of pseudocontinuous arterial spin labeling perfusion imaging in children with autism spectrum disorders[J]. Front Neurosci, 2022, 16: 1045585. PMID: 36425476. PMCID: PMC9680558. DOI: 10.3389/fnins.2022.1045585.
10 Mori T, Ito H, Harada M, et al. Multi-delay arterial spin labeling brain magnetic resonance imaging study for pediatric autism[J]. Brain Dev, 2020, 42(4): 315-321. PMID: 32088024. DOI: 10.1016/j.braindev.2020.01.007.
11 Krug DA, Arick J, Almond P. Behavior checklist for identifying severely handicapped individuals with high levels of autistic behavior[J]. J Child Psychol Psychiatry, 1980, 21(3): 221-229. PMID: 7430288. DOI: 10.1111/j.1469-7610.1980.tb01797.x.
12 Hull L, Petrides KV, Allison C, et al. "Putting on my best normal": social camouflaging in adults with autism spectrum conditions[J]. J Autism Dev Disord, 2017, 47(8): 2519-2534. PMID: 28527095. PMCID: PMC5509825. DOI: 10.1007/s10803-017-3166-5.
13 Halladay AK, Bishop S, Constantino JN, et al. Sex and gender differences in autism spectrum disorder: summarizing evidence gaps and identifying emerging areas of priority[J]. Mol Autism, 2015, 6: 36. PMID: 26075049. PMCID: PMC4465158. DOI: 10.1186/s13229-015-0019-y.
14 杨育林, 代英. 孤独症谱系障碍儿童发育及适应性行为分析[J]. 中国儿童保健杂志, 2022, 30(9): 1014-1018. DOI: 10.11852/zgetbjzz2021-1435.
15 Cho S, Cola M, Knox A, et al. Sex differences in the temporal dynamics of autistic children's natural conversations[J]. Mol Autism, 2023, 14(1): 13. PMID: 37024960. PMCID: PMC10080787. DOI: 10.1186/s13229-023-00545-6.
16 Cola ML, Plate S, Yankowitz L, et al. Sex differences in the first impressions made by girls and boys with autism[J]. Mol Autism, 2020, 11(1): 49. PMID: 32546266. PMCID: PMC7298946. DOI: 10.1186/s13229-020-00336-3.
17 Dean M, Harwood R, Kasari C. The art of camouflage: gender differences in the social behaviors of girls and boys with autism spectrum disorder[J]. Autism, 2017, 21(6): 678-689. PMID: 27899709. DOI: 10.1177/1362361316671845.
18 Kissel LT, Werling DM. Neural transcriptomic analysis of sex differences in autism spectrum disorder: current insights and future directions[J]. Biol Psychiatry, 2022, 91(1): 53-60. PMID: 33551190. DOI: 10.1016/j.biopsych.2020.11.023.
19 张丽宏, 陈安涛, 陈骁. 孤独症的性别差异: 从基因、性激素到脑结构[J]. 中国临床心理学杂志, 2017, 25(4): 635-638. DOI: 10.16128/j.cnki.1005-3611.2017.04.010.
20 Hartley SL, Sikora DM. Sex differences in autism spectrum disorder: an examination of developmental functioning, autistic symptoms, and coexisting behavior problems in toddlers[J]. J Autism Dev Disord, 2009, 39(12): 1715-1722. PMID: 19582563. PMCID: PMC3590797. DOI: 10.1007/s10803-009-0810-8.
21 Lawson LP, Joshi R, Barbaro J, et al. Gender differences during toddlerhood in autism spectrum disorder: a prospective community-based longitudinal follow-up study[J]. J Autism Dev Disord, 2018, 48(8): 2619-2628. PMID: 29497988. DOI: 10.1007/s10803-018-3516-y.
22 龙丹, 李廷玉. 孤独症谱系障碍儿童运动障碍的研究进展[J]. 中国儿童保健杂志, 2022, 30(4): 396-400. DOI: 10.11852/zgetbjzz2020-2163.
23 Bhat AN. Is motor impairment in autism spectrum disorder distinct from developmental coordination disorder? A report from the SPARK study[J]. Phys Ther, 2020, 100(4): 633-644. PMID: 32154876. PMCID: PMC7297441. DOI: 10.1093/ptj/pzz190.
24 Zhou B, Xu Q, Li H, et al. Motor impairments in Chinese toddlers with autism spectrum disorder and its relationship with social communicative skills[J]. Front Psychiatry, 2022, 13: 938047. PMID: 36311507. PMCID: PMC9613953. DOI: 10.3389/fpsyt.2022.938047.
25 Battaglia-Mayer A, Archambault PS, Caminiti R. The cortical network for eye-hand coordination and its relevance to understanding motor disorders of parietal patients[J]. Neuropsychologia, 2006, 44(13): 2607-2620. PMID: 16458334. DOI: 10.1016/j.neuropsychologia.2005.11.021.
26 Battaglia-Mayer A, Caminiti R. Parieto-frontal networks for eye-hand coordination and movements[J]. Handb Clin Neurol, 2018, 151: 499-524. PMID: 29519477. DOI: 10.1016/B978-0-444-63622-5.00026-7.
27 Chao LL, Buckley ST, Kornak J, et al. ASL perfusion MRI predicts cognitive decline and conversion from MCI to dementia[J]. Alzheimer Dis Assoc Disord, 2010, 24(1): 19-27. PMID: 20220321. PMCID: PMC2865220. DOI: 10.1097/WAD.0b013e3181b4f736.
28 Ogoh S. Relationship between cognitive function and regulation of cerebral blood flow[J]. J Physiol Sci, 2017, 67(3): 345-351. PMID: 28155036. PMCID: PMC10717011. DOI: 10.1007/s12576-017-0525-0.
29 Ponsford J. Factors contributing to outcome following traumatic brain injury[J]. NeuroRehabilitation, 2013, 32(4): 803-815. PMID: 23867406. DOI: 10.3233/NRE-130904.
30 Gangopadhyay P, Chawla M, Dal Monte O, et al. Prefrontal-amygdala circuits in social decision-making[J]. Nat Neurosci, 2021, 24(1): 5-18. PMID: 33169032. PMCID: PMC7899743. DOI: 10.1038/s41593-020-00738-9.
31 Pereira AM, Campos BM, Coan AC, et al. Differences in cortical structure and functional MRI connectivity in high functioning autism[J]. Front Neurol, 2018, 9: 539. PMID: 30042724. PMCID: PMC6048242. DOI: 10.3389/fneur.2018.00539.
32 Sato W, Uono S. The atypical social brain network in autism: advances in structural and functional MRI studies[J]. Curr Opin Neurol, 2019, 32(4): 617-621. PMID: 31135458. DOI: 10.1097/WCO.0000000000000713.