Skip to main content
Log in

Altered neurovascular coupling in the children with attention-deficit/hyperactivity disorder: a comprehensive fMRI analysis

  • Original Contribution
  • Published:
European Child & Adolescent Psychiatry Aims and scope Submit manuscript

Abstract

The coupling between resting-state cerebral blood flow (CBF) and blood oxygenation level-dependent (BOLD) signals reflects the mechanism of neurovascular coupling (NVC), which have not been illustrated in attention-deficit/hyperactivity disorder (ADHD). Fifty ADHD and 42 age- and gender-matched typically developing controls (TDs) were enrolled. The NVC imaging metrics were investigated by exploring the Pearson correlation coefficients between CBF and BOLD-derived quantitative maps (ALFF, fALFF, DCP maps). Three types of NVC metrics (CBF-ALFF, CBF-fALFF, CBF-DCP coupling) were compared between ADHD and TDs group, and the inner association between altered NVC metrics and clinical variables in ADHD group was further analyzed. Compared to TDs, ADHD showed significantly reduced whole-brain CBF-ALFF coupling (P < 0.001). Among regional level (all PFDR < 0.05), ADHD showed significantly lower CBF-ALFF coupling in bilateral thalamus, default-mode network (DMN) involving left anterior cingulate (ACG.L) and right parahippocampal gyrus (PHG.R), execution control network (ECN) involving right middle orbital frontal gyrus (ORBmid.R) and right inferior frontal triangular gyrus (IFGtriang.R), and increased CBF-ALFF coupling in attention network (AN)-related left superior temporal gyrus (STG.L) and somatosensory network (SSN))-related left rolandic operculum (ROL.L). Furthermore, increased CBF-fALFF coupling was found in the visual network (VN)-related left cuneus and negatively correlated with the concentration index of ADHD (R = − 0.299, PFDR = 0.035). Abnormal regional NVC metrics were at widespread neural networks in ADHD, mainly involved in DMN, ECN, SSN, AN, VN and bilateral thalamus. Notably, this study reinforced the insights into the neural basis and pathophysiological mechanism underlying ADHD.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

Data availability

Data generated or analyzed during the study are available from the corresponding author by request.

Abbreviations

ADHD:

Attention-deficit/hyperactivity disorder

TD:

Typically developing

NVC:

Neurovascular coupling

BOLD:

Blood oxygenation level dependent

ASL:

Arterial spin labeling

CBF:

Cerebral blood flow

ALFF:

Amplitude of low-frequency fluctuation

fALFF:

Fractional amplitude of low-frequency fluctuation

DC:

Degree centrality

DMN:

Default-mode network

AN:

Attention network

SN:

Salience network

SSN:

Somatosensory network

VN:

Visual network

References

  1. Posner J, Polanczyk GV, Sonuga-Barke E (2020) Attention-deficit hyperactivity disorder. Lancet 395(10222):450–462

    Article  PubMed  PubMed Central  Google Scholar 

  2. Zang YF et al (2007) Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI. Brain Dev 29(2):83–91

    Article  PubMed  Google Scholar 

  3. Li F et al (2014) Intrinsic brain abnormalities in attention deficit hyperactivity disorder: a resting-state functional MR imaging study. Radiology 272(2):514–523

    Article  PubMed  Google Scholar 

  4. Cortese S et al (2021) Systematic review and meta-analysis: resting-state functional magnetic resonance imaging studies of attention-deficit/hyperactivity disorder. J Am Acad Child Adolesc Psychiatry 60(1):61–75

    Article  PubMed  Google Scholar 

  5. Pereira-Sanchez V, Castellanos FX (2021) Neuroimaging in attention-deficit/hyperactivity disorder. Curr Opin Psychiatry 34(2):105–111

    Article  PubMed  PubMed Central  Google Scholar 

  6. Wang L et al (2009) Altered small-world brain functional networks in children with attention-deficit/hyperactivity disorder. Hum Brain Mapp 30(2):638–649

    Article  CAS  PubMed  Google Scholar 

  7. Cao M et al (2014) Imaging functional and structural brain connectomics in attention-deficit/hyperactivity disorder. Mol Neurobiol 50(3):1111–1123

    Article  CAS  PubMed  Google Scholar 

  8. Yin WY et al (2022) Altered neural flexibility in children with attention-deficit/hyperactivity disorder. Mol Psychiatry 27(11):4673–4679

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Shappell HM et al (2021) Children with attention-deficit/hyperactivity disorder spend more time in hyperconnected network states and less time in segregated network states as revealed by dynamic connectivity analysis. Neuroimage 229:117753

    Article  PubMed  Google Scholar 

  10. Shang CY et al (2016) Differential effects of methylphenidate and atomoxetine on intrinsic brain activity in children with attention deficit hyperactivity disorder. Psychol Med 46(15):3173–3185

    Article  CAS  PubMed  Google Scholar 

  11. Jiang K et al (2019) Functional network connectivity changes in children with attention-deficit hyperactivity disorder: a resting-state fMRI study. Int J Dev Neurosci 78:1–6

    Article  PubMed  Google Scholar 

  12. Vaishnavi SN et al (2010) Regional aerobic glycolysis in the human brain. Proc Natl Acad Sci U S A 107(41):17757–17762

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Schrantee A et al (2017) The age-dependent effects of a single-dose methylphenidate challenge on cerebral perfusion in patients with attention-deficit/hyperactivity disorder. Neuroimage Clin 13:123–129

    Article  CAS  PubMed  Google Scholar 

  14. O’Gorman RL et al (2008) Increased cerebral perfusion in adult attention deficit hyperactivity disorder is normalised by stimulant treatment: a non-invasive MRI pilot study. Neuroimage 42(1):36–41

    Article  PubMed  Google Scholar 

  15. Iadecola C (2017) The neurovascular unit coming of age: a journey through neurovascular coupling in health and disease. Neuron 96(1):17–42

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Liang X et al (2013) Coupling of functional connectivity and regional cerebral blood flow reveals a physiological basis for network hubs of the human brain. Proc Natl Acad Sci U S A 110(5):1929–1934

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Zhu JJ et al (2017) altered coupling between resting-state cerebral blood flow and functional connectivity in schizophrenia. Schizophr Bull 43(6):1363–1374

    Article  PubMed  PubMed Central  Google Scholar 

  18. Tarantini S et al (2017) Impaired neurovascular coupling in aging and Alzheimer’s disease: contribution of astrocyte dysfunction and endothelial impairment to cognitive decline. Exp Gerontol 94:52–58

    Article  CAS  PubMed  Google Scholar 

  19. He Z et al (2019) Altered resting-state cerebral blood flow and functional connectivity of striatum in bipolar disorder and major depressive disorder. Prog Neuropsychopharmacol Biol Psychiatry 90:177–185

    Article  PubMed  Google Scholar 

  20. Callahan BL et al (2021) Contribution of vascular risk factors to the relationship between ADHD symptoms and cognition in adults and seniors. Sci Rep. https://doi.org/10.1038/s41598-021-03782-y

    Article  PubMed  PubMed Central  Google Scholar 

  21. Liu L et al (2018) Deficiency of sustained attention in ADHD and its potential genetic contributor MAOA. J Atten Disord 22(9):878–885

    Article  PubMed  Google Scholar 

  22. Farre-Colomes A et al (2021) Common and distinct neural connectivity in attention-deficit/hyperactivity disorder and alcohol use disorder studied using resting-state functional magnetic resonance imaging. Alcohol Clin Exp Res 45(5):948–960

    Article  PubMed  Google Scholar 

  23. Wang LF et al (2014) Overlapping and segregated resting-state functional connectivity in patients with major depressive disorder with and without childhood neglect. Hum Brain Mapp 35(4):1154–1166

    Article  PubMed  Google Scholar 

  24. Liu F et al (2015) Disrupted cortical hubs in functional brain networks in social anxiety disorder. Clin Neurophysiol 126(9):1711–1716

    Article  PubMed  Google Scholar 

  25. Scholvinck ML et al (2010) Neural basis of global resting-state fMRI activity. Proc Natl Acad Sci U S A 107(22):10238–10243

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Zou QH et al (2008) An improved approach to detection of amplitude of low-frequency fluctuation (ALFF) for resting-state fMRI: fractional ALFF. J Neurosci Methods 172(1):137–141

    Article  PubMed  PubMed Central  Google Scholar 

  27. Tzourio-Mazoyer N et al (2002) Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. Neuroimage 15(1):273–289

    Article  CAS  PubMed  Google Scholar 

  28. Kaplan L, Chow BW, Gu C (2020) Neuronal regulation of the blood-brain barrier and neurovascular coupling. Nat Rev Neurosci 21(8):416–432

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Baller EB et al (2022) Developmental coupling of cerebral blood flow and fMRI fluctuations in youth. Cell Rep 38(13):110576

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Mauri M et al (2018) Light up ADHD: I. Cortical hemodynamic responses measured by functional Near Infrared Spectroscopy (fNIRS) Special Section on “Translational and Neuroscience Studies in Affective Disorders” Section Editor, Maria Nobile MD, PhD. This Section of JAD focuses on the relevance of translational and neuroscience studies in providing a better understanding of the neural basis of affective disorders. The main aim is to briefly summarise relevant research findings in clinical neuroscience with particular regards to specific innovative topics in mood and anxiety disorders. J Affect Disord 234:358–364

    Article  PubMed  Google Scholar 

  31. von Rhein D et al (2017) Network-level assessment of reward-related activation in patients with ADHD and healthy individuals. Hum Brain Mapp 38(5):2359–2369

    Article  Google Scholar 

  32. Zhu Y, Jiang X, Ji W (2018) The mechanism of Cortico-Striato-Thalamo-Cortical neurocircuitry in response inhibition and emotional responding in attention deficit hyperactivity disorder with comorbid disruptive behavior disorder. Neurosci Bull 34(3):566–572

    Article  PubMed  PubMed Central  Google Scholar 

  33. Wu J et al (2012) Role of dopamine receptors in ADHD: a systematic meta-analysis. Mol Neurobiol 45(3):605–620

    Article  CAS  PubMed  Google Scholar 

  34. Wang K, Li K, Niu X (2021) Altered functional connectivity in a triple-network model in Autism with co-occurring attention deficit hyperactivity disorder. Front Psychiatry 12:736755

    Article  PubMed  PubMed Central  Google Scholar 

  35. Gao Y et al (2019) Impairments of large-scale functional networks in attention-deficit/hyperactivity disorder: a meta-analysis of resting-state functional connectivity. Psychol Med 49(15):2475–2485

    Article  PubMed  Google Scholar 

  36. Shang CY, Lin HY, Gau SS (2021) The norepinephrine transporter gene modulates intrinsic brain activity, visual memory, and visual attention in children with attention-deficit/hyperactivity disorder. Mol Psychiatry 26(8):4026–4035

    Article  PubMed  Google Scholar 

  37. Alonso Bde C et al (2014) A multi-methodological MR resting state network analysis to assess the changes in brain physiology of children with ADHD. PLoS ONE 9(6):e99119

    Article  PubMed  Google Scholar 

  38. He X et al (2021) The morphometry of left cuneus mediating the genetic regulation on working memory. Hum Brain Mapp 42(11):3470–3480

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

This work was supported by the Natural Science Fund Youth Science Fund Project of China [grant number 82001439], the Natural Science Fund Project of Guangdong Province [grant numbers 2022A1515011910] and the Guangdong Basic and Applied Basic Research Foundation, China (No.2020A1515011436). We would like to thank the participants and their families and the staff at the MRI at the First Affiliated Hospital of Sun Yat-sen University for all their help and support.

Funding

This work was supported by the Natural Science Fund Youth Science Fund Project of China [grant numbers 82001439], the Natural Science Fund Project of Guangdong Province [grant numbers 2022A1515 011910], and the Guangdong Basic and Applied Basic Research Foundation, China (No.2020A1515011436).

Author information

Authors and Affiliations

Authors

Contributions

Shu Su, Yingqian Chen, Jing Zhao and Zhiyun Yang wrote the main manuscript text. Shu Su, Yingqian Chen, Yan Dai, Long Qian, Wei Cui and Liping Lin prepared figures 1-5. Qin Zhou, Zi Yan, Hongyu Zhang and Meina Liu collected the imaging and clinical data. All authors reviewed the manuscript.

Corresponding authors

Correspondence to Zhiyun Yang or Yingqian Chen.

Ethics declarations

Conflict of interest

The authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article.

Ethical approval and consent to participate

This study was approved by the institutional review board of our institution (No. [2019]328). Written informed consent was obtained from the guardians of all the subjects and their guardians in this study.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 4978 KB)

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Su, S., Zhao, J., Dai, Y. et al. Altered neurovascular coupling in the children with attention-deficit/hyperactivity disorder: a comprehensive fMRI analysis. Eur Child Adolesc Psychiatry 33, 1081–1091 (2024). https://doi.org/10.1007/s00787-023-02238-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00787-023-02238-0

Keywords

Navigation