Intrinsic Brain Abnormalities in Attention Deficit Hyperactivity Disorder: A Resting-State Functional MR Imaging Study
Abstract
We found that children and adolescents with attention deficit hyperactivity disorder (ADHD) have altered regional brain function and aberrant functional connectivity in large-scale networks that were associated with executive dysfunction, suggesting that the characteristics of the brain’s resting-state functional architecture are relevant to understanding relationships between neural substrate and executive function in ADHD.
Purpose
To explore alterations of regional and network-level neural function using resting-state functional magnetic resonance (MR) imaging in children and adolescents with attention deficit hyperactivity disorder (ADHD) and to assess the association between these alterations of intrinsic neural activity and executive dysfunction in ADHD.
Materials and Methods
This prospective study was approved by the local ethical committee, and written informed consent was obtained from guardians of all participants. Thirty-three boys with ADHD who were not receiving medication and who were without comorbidity (aged 6–16 years) and 32 healthy control subjects (aged 8–16 years) underwent imaging by using resting-state functional MR imaging. Amplitude of low-frequency fluctuation (ALFF) and seed-based functional connectivity (FC) were calculated to examine regional neural function and functional integration, respectively, and were compared between patients and control subjects by using the voxel-based two-sample t test, while Pearson correlation analyses were performed to identify neural correlates of executive function measured with the Wisconsin Card Sorting Test and the Stroop Color-Word Test.
Results
Relative to healthy control subjects, patients with ADHD showed impaired executive function (P < .05), along with the following: lower ALFF in the left orbitofrontal cortex (P = .004) and the left ventral superior frontal gyrus (P = .003); higher ALFF in the left globus pallidus (P = .004), the right globus pallidus (P = .002), and the right dorsal superior frontal gyrus (P = .025); lower long-range FC in the frontoparietal and frontocerebellar networks; and higher FC in the frontostriatal circuit that correlated across subjects with ADHD with the degree of executive dysfunction (P < .05).
Conclusion
These findings of focal spontaneous hyper- and hypofunction, together with altered brain connectivity in the large-scale resting-state networks, which correlates with executive dysfunction, point to a connectivity-based pathophysiologic process in ADHD.
© RSNA, 2014
References
- 1. . The worldwide prevalence of ADHD: a systematic review and metaregression analysis. Am J Psychiatry 2007;164(6):942–948. Crossref, Medline, Google Scholar
- 2. . Attention-deficit hyperactivity disorder. Lancet 2005;366(9481):237–248. Crossref, Medline, Google Scholar
- 3. . Hypofrontality in attention deficit hyperactivity disorder during higher-order motor control: a study with functional MRI. Am J Psychiatry 1999;156(6):891–896. Crossref, Medline, Google Scholar
- 4. . Selective effects of methylphenidate in attention deficit hyperactivity disorder: a functional magnetic resonance study. Proc Natl Acad Sci U S A 1998;95(24):14494–14499. Crossref, Medline, Google Scholar
- 5. . Large-scale brain systems in ADHD: beyond the prefrontal-striatal model. Trends Cogn Sci 2012;16(1):17–26. Crossref, Medline, Google Scholar
- 6. . Functional connectivity in the motor cortex of resting human brain using echo-planar MRI. Magn Reson Med 1995;34(4):537–541. Crossref, Medline, Google Scholar
- 7. . Neurophysiological investigation of the basis of the fMRI signal. Nature 2001;412(6843):150–157. Crossref, Medline, Google Scholar
- 8. . Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging. Nat Rev Neurosci 2007;8(9):700–711. Crossref, Medline, Google Scholar
- 9. . Evidence for a frontoparietal control system revealed by intrinsic functional connectivity. J Neurophysiol 2008;100(6):3328–3342. Crossref, Medline, Google Scholar
- 10. . Association of cerebral deficits with clinical symptoms in antipsychotic-naive first-episode schizophrenia: an optimized voxel-based morphometry and resting state functional connectivity study. Am J Psychiatry 2009;166(2):196–205. Crossref, Medline, Google Scholar
- 11. . Dimensional brain-behavior relationships in children with attention-deficit/hyperactivity disorder. Biol Psychiatry 2012;71(5):434–442. Crossref, Medline, Google Scholar
- 12. . A developmental perspective on the measurement of cognitive deficits in attention-deficit/hyperactivity disorder. Biol Psychiatry 2005;57(11):1256–1260. Crossref, Medline, Google Scholar
- 13. . A modified card sorting test sensitive to frontal lobe defects. Cortex 1976;12(4):313–324. Crossref, Medline, Google Scholar
- 14. . Identification of brain disorders by the Stroop Color and Word Test. J Clin Psychol 1976;32(3):654–658. Crossref, Medline, Google Scholar
- 15. . A classification of handedness using the Annett Hand Preference Questionnaire. Br J Psychol 2007;98(pt 3):375–387. Crossref, Medline, Google Scholar
- 16. . Wechsler intelligence scale for children, Chinese version. Hunan, China: Hunan Medical University, 1990. Google Scholar
- 17. . Manual for the Child Behavior Checklist/4-18 and 1991 Profile. Burlington, Vt: Department of Psychiatry, University of Vermont, 1991. Google Scholar
- 18. . Clinical use of rating scales in diagnosis and treatment of attention-deficit/hyperactivity disorder. Pediatr Clin North Am 1999;46(5):857–870. Crossref, Medline, Google Scholar
- 19. . The Wisconsin Card Sorting Test and the cognitive assessment of prefrontal executive functions: a critical update. Brain Cogn 2009;71(3):437–451. Crossref, Medline, Google Scholar
- 20. . Studies of interference in serial verbal reactions. J Exp Psychol 1935;18(6):643–662. Crossref, Google Scholar
- 21. : A MATLAB toolbox for “pipeline” data analysis of resting-state fMRI. Front Syst Neurosci 2010;4:13. eCollection 2010. http://journal.frontiersin.org/Journal/10.3389/fnsys.2010.00013/full. Published May 14, 2010. Accessed July 10, 2010. Medline, Google Scholar
- 22. . The feasibility of a common stereotactic space for children and adults in fMRI studies of development. Neuroimage 2002;17(1):184–200. Crossref, Medline, Google Scholar
- 23. . Comparison of functional activation foci in children and adults using a common stereotactic space. Neuroimage 2003;19(1):16–28. Crossref, Medline, Google Scholar
- 24. . Short-term effects of antipsychotic treatment on cerebral function in drug-naive first-episode schizophrenia revealed by “resting state” functional magnetic resonance imaging. Arch Gen Psychiatry 2010;67(8):783–792. Crossref, Medline, Google Scholar
- 25. . A default mode of brain function. Proc Natl Acad Sci U S A 2001;98(2):676–682. Crossref, Medline, Google Scholar
- 26. . Widespread reductions in cortical thickness following severe early-life deprivation: a neurodevelopmental pathway to attention-deficit/hyperactivity disorder. Biol Psychiatry doi:10.1016/j.biopsych.2013.08.016. http://www.sciencedirect.com/science/article/pii/S0006322313007695?via=ihub. Published September 30, 2013. Accessed January 10, 2014. Google Scholar
- 27. . Laminar thickness alterations in the fronto-parietal cortical mantle of patients with attention-deficit/hyperactivity disorder. PLoS ONE 2012;7(12):e48286. http://www.plosone.org/article/info%3Adoi %2F10.1371%2Fjournal.pone.0048286. Published December 11, 2012. Accessed March 1, 2013. Crossref, Medline, Google Scholar
- 28. . Attention-deficit/hyperactivity disorder and attention networks. Neuropsychopharmacology 2010;35(1):278–300. Crossref, Medline, Google Scholar
- 29. . A review of fronto-striatal and fronto-cortical brain abnormalities in children and adults with attention deficit hyperactivity disorder (ADHD) and new evidence for dysfunction in adults with ADHD during motivation and attention. Cortex 2012;48(2):194–215. Crossref, Medline, Google Scholar
- 30. . Gray matter volume abnormalities in ADHD: voxel-based meta-analysis exploring the effects of age and stimulant medication. Am J Psychiatry 2011;168(11):1154–1163. Crossref, Medline, Google Scholar
- 31. . Meta-analysis of structural MRI studies in children and adults with attention deficit hyperactivity disorder indicates treatment effects. Acta Psychiatr Scand 2012;125(2):114–126. Crossref, Medline, Google Scholar
- 32. . Striatal neuronal loss or dysfunction and choline rise in children with attention-deficit hyperactivity disorder: a 1H-magnetic resonance spectroscopy study. Neurosci Lett 2001;315(1-2):45–48. Crossref, Medline, Google Scholar
- 33. . “Cool” inferior frontostriatal dysfunction in attention-deficit/hyperactivity disorder versus “hot” ventromedial orbitofrontal-limbic dysfunction in conduct disorder: a review. Biol Psychiatry 2011;69(12):e69–e87. Crossref, Medline, Google Scholar
- 34. . Increased regional fractional anisotropy in highly screened attention-deficit hyperactivity disorder (ADHD). J Child Neurol 2011;26(10):1296–1302. Crossref, Medline, Google Scholar
- 35. . Increased fractional anisotropy in white matter of the right frontal region in children with attention-deficit/hyperactivity disorder: a diffusion tensor imaging study. Neuroendocrinol Lett 2010;31(6):747–753. Medline, Google Scholar
- 36. . Abnormal spontaneous brain activity in medication-naïve ADHD children: a resting state fMRI study. Neurosci Lett 2011;502(2):89–93. Crossref, Medline, Google Scholar
- 37. . Is the ADHD brain wired differently? a review on structural and functional connectivity in attention deficit hyperactivity disorder. Hum Brain Mapp 2010;31(6):904–916. Crossref, Medline, Google Scholar
- 38. . Atypical default network connectivity in youth with attention-deficit/hyperactivity disorder. Biol Psychiatry 2010;68(12):1084–1091. Crossref, Medline, Google Scholar
- 39. . The maturing architecture of the brain’s default network. Proc Natl Acad Sci U S A 2008;105(10):4028–4032. Crossref, Medline, Google Scholar
- 40. . Functional brain networks develop from a “local to distributed” organization. PLOS Comput Biol 2009;5(5):e1000381. http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1000381. Published May 1, 2009. Accessed November 9, 2009. Crossref, Medline, Google Scholar
- 41. . Development of anterior cingulate functional connectivity from late childhood to early adulthood. Cereb Cortex 2009;19(3):640–657. Crossref, Medline, Google Scholar
- 42. . Atypical prefrontal connectivity in attention-deficit/hyperactivity disorder: pathway to disease or pathological end point? Biol Psychiatry 2011;69(12):1168–1177. Crossref, Medline, Google Scholar
- 43. . Altered small-world brain functional networks in children with attention-deficit/hyperactivity disorder. Hum Brain Mapp 2009;30(2):638–649. Crossref, Medline, Google Scholar
- 44. . White-matter abnormalities in attention deficit hyperactivity disorder: a diffusion tensor imaging study. Hum Brain Mapp 2009;30(9):2757–2765. Crossref, Medline, Google Scholar
- 45. . Diffusion tensor imaging reveals white matter abnormalities in Attention-Deficit/Hyperactivity Disorder. Psychiatry Res 2012;202(2):150–154. Crossref, Medline, Google Scholar
- 46. . Validity of the executive function theory of attention-deficit/hyperactivity disorder: a meta-analytic review. Biol Psychiatry 2005;57(11):1336–1346. Crossref, Medline, Google Scholar
- 47. . ADHD and Stroop interference from age 9 to age 41 years: a meta-analysis of developmental effects. Psychol Med 2008;38(11):1607–1616. Crossref, Medline, Google Scholar
- 48. . Characterizing cognition in ADHD: beyond executive dysfunction. Trends Cogn Sci 2006;10(3):117–123. Crossref, Medline, Google Scholar
- 49. . Widespread cortical thinning is a robust anatomical marker for attention-deficit/hyperactivity disorder. J Am Acad Child Adolesc Psychiatry 2009;48(10):1014–1022. Crossref, Medline, Google Scholar
- 50. . Abnormal resting-state functional connectivity patterns of the putamen in medication-naïve children with attention deficit hyperactivity disorder. Brain Res 2009;1303:195–206. Crossref, Medline, Google Scholar
- 51. . Causal models of attention-deficit/hyperactivity disorder: from common simple deficits to multiple developmental pathways. Biol Psychiatry 2005;57(11):1231–1238. Crossref, Medline, Google Scholar
- 52. . Attention-deficit/hyperactivity disorder is characterized by a delay in cortical maturation. Proc Natl Acad Sci U S A 2007;104(49):19649–19654. Crossref, Medline, Google Scholar
- 53. . Diffusion tensor imaging in attention deficit/hyperactivity disorder: a systematic review and meta-analysis. Neurosci Biobehav Rev 2012;36(4):1093–1106. Crossref, Medline, Google Scholar
- 54. . The cerebellum and neuropsychological functioning: a critical review. J Clin Exp Neuropsychol 2012;34(1):35–56. Crossref, Medline, Google Scholar
- 55. . Meta-analysis of structural imaging findings in attention-deficit/hyperactivity disorder. Biol Psychiatry 2007;61(12):1361–1369. Crossref, Medline, Google Scholar
- 56. . The impact of global signal regression on resting state correlations: are anti-correlated networks introduced? Neuroimage 2009;44(3):893–905. Crossref, Medline, Google Scholar
- 57. . Trouble at rest: how correlation patterns and group differences become distorted after global signal regression. Brain Connect 2012;2(1):25–32. Crossref, Medline, Google Scholar
- 58. . Standardizing the intrinsic brain: towards robust measurement of inter-individual variation in 1000 functional connectomes. Neuroimage 2013;80:246–262. Crossref, Medline, Google Scholar
- 59. . A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics. Neuroimage 2013;76:183–201. Crossref, Medline, Google Scholar
- 60. . Abnormally high degree connectivity of the orbitofrontal cortex in obsessive-compulsive disorder. JAMA Psychiatry 2013;70(6):619–629. Crossref, Medline, Google Scholar
- 61. . Separating respiratory-variation-related fluctuations from neuronal-activity-related fluctuations in fMRI. Neuroimage 2006;31(4):1536–1548. Crossref, Medline, Google Scholar
Article History
Received July 11, 2013; revision requested September 26; final revision received January 8, 2014; accepted February 3; final version accepted February 18.Published online: Apr 14 2014
Published in print: Aug 2014







