Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2016 Jun 3:67:82-91.
doi: 10.1016/j.pnpbp.2016.01.011. Epub 2016 Jan 26.

Characterising resting-state functional connectivity in a large sample of adults with ADHD

Affiliations

Characterising resting-state functional connectivity in a large sample of adults with ADHD

Jeanette C Mostert et al. Prog Neuropsychopharmacol Biol Psychiatry. .

Abstract

Attention-deficit/hyperactivity disorder (ADHD) is a common childhood psychiatric disorder that often persists into adulthood. While several studies have identified altered functional connectivity in brain networks during rest in children with ADHD, few studies have been performed on adults with ADHD. Existing studies have generally investigated small samples. We therefore investigated aberrant functional connectivity in a large sample of adult patients with childhood-onset ADHD, using a data-driven, whole-brain approach. Adults with a clinical ADHD diagnosis (N=99) and healthy, adult comparison subjects (N=113) underwent a 9-minute resting-state fMRI session in a 1.5T MRI scanner. After elaborate preprocessing including a thorough head-motion correction procedure, group independent component analysis (ICA) was applied from which we identified six networks of interest: cerebellum, executive control, left and right frontoparietal and two default-mode networks. Participant-level network maps were obtained using dual-regression and tested for differences between patients with ADHD and controls using permutation testing. Patients showed significantly stronger connectivity in the anterior cingulate gyrus of the executive control network. Trends were also observed for stronger connectivity in the cerebellum network in ADHD patients compared to controls. However, there was considerable overlap in connectivity values between patients and controls, leading to relatively low effect sizes despite the large sample size. These effect sizes were slightly larger when testing for correlations between hyperactivity/impulsivity symptoms and connectivity strength in the executive control and cerebellum networks. This study provides important insights for studies on the neurobiology of adult ADHD; it shows that resting-state functional connectivity differences between adult patients and controls exist, but have smaller effect sizes than existing literature suggested.

Keywords: Adult ADHD; Cerebellum; Executive control network; Independent component analysis; Resting-state functional connectivity.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Six components of interest from group ICA representing networks of interest (green), overlayed on a MNI-template brain (grey). Networks were thresholded at Z > 5.
Figure 2
Figure 2
Stronger connectivity in ADHD patients compared to controls in A) the executive control network and B) the cerebellum network. On the left, significant clusters are depicted in red-yellow at a threshold of p < 0.05 (FWE-corrected). On the right, histograms of connectivity strength of the peak voxel from the clusters on the left are shown for control participants (blue) and ADHD patients (orange). Purple-shaded areas reflect overlap between the two groups.
Figure 3
Figure 3
Significant correlations between hyperactivity/impulsivity symptoms and functional connectivity strength in the executive control network (A) and the cerebellum network (B). Hot colours represent significant regions, thresholded at p < 0.05. Scatterplots represent the correlation between connectivity strength (y-axis; parameter estimates from dual regression, corrected for age and gender) and hyperactivity / impulsivity symptoms (x-axis). In A, the peak voxel is located in the right superior frontal gyrus (MNI 10; 50; 24). In B, the peak voxel is located in the left cerebellum vermis VI (MNI −6; −58; −28). See Table 3 for details.

Similar articles

Cited by

  • Migraine in the Young Brain: Adolescents vs. Young Adults.
    Colon E, Ludwick A, Wilcox SL, Youssef AM, Danehy A, Fair DA, Lebel AA, Burstein R, Becerra L, Borsook D. Colon E, et al. Front Hum Neurosci. 2019 Mar 22;13:87. doi: 10.3389/fnhum.2019.00087. eCollection 2019. Front Hum Neurosci. 2019. PMID: 30967767 Free PMC article.
  • Brain Imaging of the Cortex in ADHD: A Coordinated Analysis of Large-Scale Clinical and Population-Based Samples.
    Hoogman M, Muetzel R, Guimaraes JP, Shumskaya E, Mennes M, Zwiers MP, Jahanshad N, Sudre G, Wolfers T, Earl EA, Soliva Vila JC, Vives-Gilabert Y, Khadka S, Novotny SE, Hartman CA, Heslenfeld DJ, Schweren LJS, Ambrosino S, Oranje B, de Zeeuw P, Chaim-Avancini TM, Rosa PGP, Zanetti MV, Malpas CB, Kohls G, von Polier GG, Seitz J, Biederman J, Doyle AE, Dale AM, van Erp TGM, Epstein JN, Jernigan TL, Baur-Streubel R, Ziegler GC, Zierhut KC, Schrantee A, Høvik MF, Lundervold AJ, Kelly C, McCarthy H, Skokauskas N, O'Gorman Tuura RL, Calvo A, Lera-Miguel S, Nicolau R, Chantiluke KC, Christakou A, Vance A, Cercignani M, Gabel MC, Asherson P, Baumeister S, Brandeis D, Hohmann S, Bramati IE, Tovar-Moll F, Fallgatter AJ, Kardatzki B, Schwarz L, Anikin A, Baranov A, Gogberashvili T, Kapilushniy D, Solovieva A, El Marroun H, White T, Karkashadze G, Namazova-Baranova L, Ethofer T, Mattos P, Banaschewski T, Coghill D, Plessen KJ, Kuntsi J, Mehta MA, Paloyelis Y, Harrison NA, Bellgrove MA, Silk TJ, Cubillo AI, Rubia K, Lazaro L, Brem S, Walitza S, Frodl T, Zentis M, Castellanos FX, Yoncheva YN, Haavik J, Reneman L, Conzelmann A, Lesch KP, Pauli P, Reif A, Tamm L, Konrad K, Oberwelland Weiss E, Bus… See abstract for full author list ➔ Hoogman M, et al. Am J Psychiatry. 2019 Jul 1;176(7):531-542. doi: 10.1176/appi.ajp.2019.18091033. Epub 2019 Apr 24. Am J Psychiatry. 2019. PMID: 31014101 Free PMC article.
  • Genetic variations influence brain changes in patients with attention-deficit hyperactivity disorder.
    Yadav SK, Bhat AA, Hashem S, Nisar S, Kamal M, Syed N, Temanni MR, Gupta RK, Kamran S, Azeem MW, Srivastava AK, Bagga P, Chawla S, Reddy R, Frenneaux MP, Fakhro K, Haris M. Yadav SK, et al. Transl Psychiatry. 2021 Jun 5;11(1):349. doi: 10.1038/s41398-021-01473-w. Transl Psychiatry. 2021. PMID: 34091591 Free PMC article. Review.
  • Head motion: the dirty little secret of neuroimaging in psychiatry.
    Makowski C, Lepage M, Evans AC. Makowski C, et al. J Psychiatry Neurosci. 2019 Jan 1;44(1):62-68. doi: 10.1503/jpn.180022. J Psychiatry Neurosci. 2019. PMID: 30565907 Free PMC article.
  • Evidence from "big data" for the default-mode hypothesis of ADHD: a mega-analysis of multiple large samples.
    Norman LJ, Sudre G, Price J, Shastri GG, Shaw P. Norman LJ, et al. Neuropsychopharmacology. 2023 Jan;48(2):281-289. doi: 10.1038/s41386-022-01408-z. Epub 2022 Sep 13. Neuropsychopharmacology. 2023. PMID: 36100657 Free PMC article.

References

    1. American Psychiatric Organisation . Diagnostic and Statistical Manual of Mental Disorders. 5th. American Psychiatric Association; Arlington, VA: 2013. doi:10.1176/appi.books.9780890425596.
    1. American Psychiatric Organisation . Diagnostic and Statistical Manual of Mental Disorders. Fourth. American Psychiatric Association; Arlington, VA: 2000. Text Revision (DSM-IV-TR), 4th ed. doi:10.1176/appi.books.9780890423349.
    1. Bari A, Robbins TW. Inhibition and impulsivity: behavioral and neural basis of response control. Prog. Neurobiol. 2013;108:44–79. doi:10.1016/j.pneurobio.2013.06.005. - PubMed
    1. Beckmann CF, DeLuca M, Devlin JT, Smith SM. Investigations into resting-state connectivity using independent component analysis. Philos. Trans. R. Soc. Lond. B. Biol. Sci. 2005;360:1001–13. doi:10.1098/rstb.2005.1634. - PMC - PubMed
    1. Beckmann CF, Mackay CE, Filippini N, Smith SM. Group comparison of resting-state FMRI data using multi-subject ICA and dual regression. Hum. Brain Mapp. Conf. 2009;181

Publication types