Comparison of Arterial Spin Labeled MRI (ASL MRI) Between ADHD and Control Group (ages of 6-12)

Overview

Journal Sci Rep

Specialty Science

Date 2024 Jun 28

PMID 38942754

Authors

You Bin Lim

Huijin Song

Hyunjoo Lee

Seungbee Lim

Seo Young Kwon

Jeeyoung Chun

Sujin Kim

Ceren Tosun

Kyung Seu Yoon

Chul-Ho Sohn

Bung-Nyun Kim

Affiliations

Soon will be listed here.

Abstract

This study utilized arterial spin labeling-magnetic resonance imaging (ASL-MRI) to explore the developmental trajectory of brain activity associated with attention deficit hyperactivity disorder (ADHD). Pulsed arterial spin labeling (ASL) data were acquired from 157 children with ADHD and 109 children in a control group, all aged 6-12 years old. Participants were categorized into the age groups of 6-7, 8-9, and 10-12, after which comparisons were performed between each age group for ASL analysis of cerebral blood flow (CBF). In total, the ADHD group exhibited significantly lower CBF in the left superior temporal gyrus and right middle frontal gyrus regions than the control group. Further analysis revealed: (1) The comparison between the ADHD group (N = 70) aged 6-7 and the age-matched control group (N = 33) showed no statistically significant difference between. (2) However, compared with the control group aged 8-9 (N = 39), the ADHD group of the same age (N = 53) showed significantly lower CBF in the left postcentral gyrus and left middle frontal gyrus regions. (3) Further, the ADHD group aged 10-12 (N = 34) demonstrated significantly lower CBF in the left superior occipital region than the age-matched control group (N = 37). These age-specific differences suggest variations in ADHD-related domains during brain development post age 6-7.

References

Okazaki S, Yamagami H, Yoshimoto T, Morita Y, Yamamoto H, Toyoda K . Cerebral hyperperfusion on arterial spin labeling MRI after reperfusion therapy is related to hemorrhagic transformation. J Cereb Blood Flow Metab. 2017; 37(9):3087-3090. PMC: 5584703. DOI: 10.1177/0271678X17718099. View

Banaschewski T, Becker K, Scherag S, Franke B, Coghill D . Molecular genetics of attention-deficit/hyperactivity disorder: an overview. Eur Child Adolesc Psychiatry. 2010; 19(3):237-57. PMC: 2839490. DOI: 10.1007/s00787-010-0090-z. View

Li F, He N, Li Y, Chen L, Huang X, Lui S . Intrinsic brain abnormalities in attention deficit hyperactivity disorder: a resting-state functional MR imaging study. Radiology. 2014; 272(2):514-23. DOI: 10.1148/radiol.14131622. View

Weyandt L, Swentosky A, Gudmundsdottir B . Neuroimaging and ADHD: fMRI, PET, DTI findings, and methodological limitations. Dev Neuropsychol. 2013; 38(4):211-25. DOI: 10.1080/87565641.2013.783833. View

Jenkinson M, Beckmann C, Behrens T, Woolrich M, Smith S . FSL. Neuroimage. 2011; 62(2):782-90. DOI: 10.1016/j.neuroimage.2011.09.015. View

Tang C, Wei Y, Zhao J, Nie J . Different Developmental Pattern of Brain Activities in ADHD: A Study of Resting-State fMRI. Dev Neurosci. 2018; 40(3):246-257. DOI: 10.1159/000490289. View

Alsop D, Detre J, Golay X, Gunther M, Hendrikse J, Hernandez-Garcia L . Recommended implementation of arterial spin-labeled perfusion MRI for clinical applications: A consensus of the ISMRM perfusion study group and the European consortium for ASL in dementia. Magn Reson Med. 2014; 73(1):102-16. PMC: 4190138. DOI: 10.1002/mrm.25197. View

Oner O, Oner P, Aysev A, Kucuk O, Ibis E . Regional cerebral blood flow in children with ADHD: changes with age. Brain Dev. 2005; 27(4):279-85. DOI: 10.1016/j.braindev.2004.07.010. View

Sripada C, Kessler D, Angstadt M . Lag in maturation of the brain's intrinsic functional architecture in attention-deficit/hyperactivity disorder. Proc Natl Acad Sci U S A. 2014; 111(39):14259-64. PMC: 4191792. DOI: 10.1073/pnas.1407787111. View

10.

Castellanos F, Proal E . Large-scale brain systems in ADHD: beyond the prefrontal-striatal model. Trends Cogn Sci. 2011; 16(1):17-26. PMC: 3272832. DOI: 10.1016/j.tics.2011.11.007. View

11.

You W, Li Q, Chen L, He N, Li Y, Long F . Common and distinct cortical thickness alterations in youth with autism spectrum disorder and attention-deficit/hyperactivity disorder. BMC Med. 2024; 22(1):92. PMC: 10910790. DOI: 10.1186/s12916-024-03313-2. View

12.

Winkler A, Ridgway G, Webster M, Smith S, Nichols T . Permutation inference for the general linear model. Neuroimage. 2014; 92:381-97. PMC: 4010955. DOI: 10.1016/j.neuroimage.2014.01.060. View

13.

Gonchigsuren O, Harada M, Hisaoka S, Higashi K, Matsumoto Y, Sumida N . Brain abnormalities in children with attention-deficit/hyperactivity disorder assessed by multi-delay arterial spin labeling perfusion and voxel-based morphometry. Jpn J Radiol. 2022; 40(6):568-577. DOI: 10.1007/s11604-021-01239-w. View

14.

Furukawa E, Bado P, Tripp G, Mattos P, Wickens J, Bramati I . Abnormal striatal BOLD responses to reward anticipation and reward delivery in ADHD. PLoS One. 2014; 9(2):e89129. PMC: 3935853. DOI: 10.1371/journal.pone.0089129. View

15.

Zhang Y, Brady M, Smith S . Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm. IEEE Trans Med Imaging. 2001; 20(1):45-57. DOI: 10.1109/42.906424. View

16.

Japee S, Holiday K, Satyshur M, Mukai I, Ungerleider L . A role of right middle frontal gyrus in reorienting of attention: a case study. Front Syst Neurosci. 2015; 9:23. PMC: 4347607. DOI: 10.3389/fnsys.2015.00023. View

17.

Tsujikawa T, Kimura H, Matsuda T, Fujiwara Y, Isozaki M, Kikuta K . Arterial Transit Time Mapping Obtained by Pulsed Continuous 3D ASL Imaging with Multiple Post-Label Delay Acquisitions: Comparative Study with PET-CBF in Patients with Chronic Occlusive Cerebrovascular Disease. PLoS One. 2016; 11(6):e0156005. PMC: 4898726. DOI: 10.1371/journal.pone.0156005. View

18.

Shin M, Choi H, Kim H, Hwang J, Kim B, Cho S . A study of neuropsychological deficit in children with obsessive-compulsive disorder. Eur Psychiatry. 2008; 23(7):512-20. DOI: 10.1016/j.eurpsy.2008.03.010. View

19.

Yasumura A, Omori M, Fukuda A, Takahashi J, Yasumura Y, Nakagawa E . Age-related differences in frontal lobe function in children with ADHD. Brain Dev. 2019; 41(7):577-586. DOI: 10.1016/j.braindev.2019.03.006. View

20.

Smith S . Fast robust automated brain extraction. Hum Brain Mapp. 2002; 17(3):143-55. PMC: 6871816. DOI: 10.1002/hbm.10062. View