Cited by 37Attention Deficit Hyperactivity DisorderFunctional Brain Connectivity StudiesMental Health Research Topics

Atomoxetine Treatment Strengthens an Anti-Correlated Relationship between Functional Brain Networks in Medication-Naïve Adults with Attention-Deficit Hyperactivity Disorder: A Randomized Double-Blind Placebo-Controlled Clinical Trial

Open access
Lin, Hsiang-Yuan, Gau, Susan Shur-Fen·2016·International Journal of Neuropsychopharmacology

Abstract

BACKGROUND: Although atomoxetine demonstrates efficacy in individuals with attention-deficit hyperactivity disorder, its treatment effects on brain resting-state functional connectivity remain unknown. Therefore, we aimed to investigate major brain functional networks in medication-naïve adults with attention-deficit hyperactivity disorder and the efficacy of atomoxetine treatment on resting-state functional connectivity. METHODS: After collecting baseline resting-state functional MRI scans from 24 adults with attention-deficit hyperactivity disorder (aged 18-52 years) and 24 healthy controls (matched in demographic characteristics), the participants with attention-deficit hyperactivity disorder were randomly assigned to atomoxetine (n=12) and placebo (n=12) arms in an 8-week, double-blind, placebo-controlled trial. The primary outcome was functional connectivity assessed by a resting-state functional MRI. Seed-based functional connectivity was calculated and compared for the affective, attention, default, and cognitive control networks. RESULTS: At baseline, we found atypical cross talk between the default, cognitive control, and dorsal attention networks and hypoconnectivity within the dorsal attention and default networks in adults with attention-deficit hyperactivity disorder. Our first-ever placebo-controlled clinical trial incorporating resting-state functional MRI showed that treatment with atomoxetine strengthened an anticorrelated relationship between the default and task-positive networks and modulated all major brain networks. The strengthened anticorrelations were associated with improving clinical symptoms in the atomoxetine-treated adults. CONCLUSIONS: Our results support the idea that atypical default mode network task-positive network interaction plays an important role in the pathophysiology of adult attention-deficit hyperactivity disorder. Strengthening this atypical relationship following atomoxetine treatment suggests an important pathway to treat attention-deficit hyperactivity disorder.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1093/ijnp/pyv094

Cites

12 of 12 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Nonstimulants have downstream effects that modulate activation patterns of frontoparietal regions through extracellular catecholamine and indirect effects that regulate brain connectivity patterns of the central executive network and default mode network.

    “Besides, they also have downstream effects that modulate the activation patterns of frontoparietal regions through extracellular catecholamine and indirect effects that regulate the brain connectivity patterns of the central executive network and default mode network (Borchert et al., 2019; Farr et al., 2014; Lin & Gau, 2015; Schulz et al., 2012; Shafritz et al., 2004).”

    From Overlapping and differential neuropharmacological mechanisms of stimulants and nonstimulants for attention-deficit/hyperactivity disorder: A comparative neuroimaging analysis (2024) · cites this paper as Lin & Gau, 2015

    Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 59

  1. Beckmann M Johansen-Berg H Rushworth MF (2009) Connectivity-based parcellation of human cingulate cortex and its relation to functional specialization. J Neurosci 29: 1175– 1190. 19176826 PMC6665147
  2. Behzadi Y Restom K Liau J Liu TT (2007) A component based noise correction method (CompCor) for BOLD and perfusion based fMRI. NeuroImage 37: 90– 101. 17560126 PMC2214855
  3. Bostan AC Dum RP Strick PL (2013) Cerebellar networks with the cerebral cortex and basal ganglia. Trends Cogn Sci 17: 241– 254. 23579055 PMC3645327
  4. Bush G Holmes J Shin LM Surman C Makris N Mick E Seidman LJ Biederman J (2013) Atomoxetine increases fronto-parietal functional MRI activation in attention-deficit/hyperactivity disorder: a pilot study. Psychiatry Res 211: 88– 91. 23146254 PMC3557757
  5. Bymaster FP Katner JS Nelson DL Hemrick-Luecke SK Threlkeld PG Heiligenstein JH Morin SM Gehlert DR Perry KW (2002) Atomoxetine increases extracellular levels of norepinephrine and dopamine in prefrontal cortex of rat: a potential mechanism for efficacy in attention deficit/hyperactivity disorder. Neuropsychopharmacology 27: 699– 711. 12431845
  6. Cao Q Zang Y Sun L Sui M Long X Zou Q Wang Y (2006) Abnormal neural activity in children with attention deficit hyperactivity disorder: a resting-state functional magnetic resonance imaging study. Neuroreport 17: 1033– 1036. 16791098
  7. Castellanos FX Sonuga-Barke EJ Milham MP Tannock R (2006) Characterizing cognition in ADHD: beyond executive dysfunction. Trends Cogn Sci 10: 117– 123. 16460990
  8. Castellanos FX Margulies DS Kelly C Uddin LQ Ghaffari M Kirsch A Shaw D Shehzad Z Di Martino A Biswal B Sonuga-Barke EJ Rotrosen J Adler LA Milham MP (2008) Cingulate-precuneus interactions: a new locus of dysfunction in adult attention-deficit/hyperactivity disorder. Biol Psychiatry 63: 332– 337. 17888409 PMC2745053
  9. Castellanos FX Di Martino A Craddock RC Mehta AD Milham MP (2013) Clinical applications of the functional connectome. NeuroImage 80: 527– 540. 23631991 PMC3809093
  10. Chai XJ Castanon AN Ongur D Whitfield-Gabrieli S (2012) Anticorrelations in resting state networks without global signal regression. NeuroImage 59: 1420– 1428. 21889994 PMC3230748
  11. Cubillo A Smith AB Barrett N Giampietro V Brammer M Simmons A, Rubia K (2014a) Drug-specific laterality effects on frontal lobe activation of atomoxetine and methylphenidate in attention deficit hyperactivity disorder boys during working memory. Psychol Med 44: 633– 646. 23597077
  12. Cubillo A Smith AB Barrett N Giampietro V Brammer MJ Simmons A, Rubia K (2014b) Shared and drug-specific effects of atomoxetine and methylphenidate on inhibitory brain dysfunction in medication-naive ADHD boys. Cereb Cortex 24: 174– 185. 23048018 PMC3862268
  13. Depue BE Burgess GC Willcutt EG Ruzic L Banich MT (2010) Inhibitory control of memory retrieval and motor processing associated with the right lateral prefrontal cortex: evidence from deficits in individuals with ADHD. Neuropsychologia 48: 3909– 3917. 20863843 PMC2979319
  14. Ding YS Naganawa M Gallezot JD Nabulsi N Lin SF Ropchan J Weinzimmer D McCarthy TJ Carson RE Huang Y Laruelle M (2014) Clinical doses of atomoxetine significantly occupy both norepinephrine and serotonin transports: implications on treatment of depression and ADHD. NeuroImage 86: 164– 171. 23933039
  15. Fayyad J De Graaf R Kessler R Alonso J Angermeyer M Demyttenaere K De Girolamo G Haro JM Karam EG Lara C Lepine JP Ormel J Posada-Villa J Zaslavsky AM Jin R (2007) Cross-national prevalence and correlates of adult attention-deficit hyperactivity disorder. Br J Psychiatry 190: 402– 409. 17470954
  16. Fox MD Snyder AZ Vincent JL Corbetta M Van Essen DC Raichle ME (2005) The human brain is intrinsically organized into dynamic, anticorrelated functional networks. Proc Natl Acad Sci U S A 102: 9673– 9678. 15976020 PMC1157105
  17. Fox MD Zhang D Snyder AZ Raichle ME (2009) The global signal and observed anticorrelated resting state brain networks. J Neurophysiol 101: 3270– 3283. 19339462 PMC2694109
  18. Frank DW Dewitt M Hudgens-Haney M Schaeffer DJ Ball BH Schwarz NF Hussein AA Smart LM Sabatinelli D (2014) Emotion regulation: quantitative meta-analysis of functional activation and deactivation. Neurosci Biobehav Rev 45: 202– 211. 24984244
  19. Friston K (2012) Ten ironic rules for non-statistical reviewers. NeuroImage 61: 1300– 1310. 22521475
  20. Fusar-Poli P Placentino A Carletti F Landi P Allen P Surguladze S Benedetti F Abbamonte M Gasparotti R Barale F Perez J McGuire P Politi P (2009) Functional atlas of emotional faces processing: a voxel-based meta-analysis of 105 functional magnetic resonance imaging studies. J Psychiatry Neurosci 34: 418– 432. 19949718 PMC2783433
  21. Gallezot JD Weinzimmer D Nabulsi N Lin SF Fowles K Sandiego C McCarthy TJ Maguire RP Carson RE Ding YS (2011) Evaluation of [(11)C]MRB for assessment of occupancy of norepinephrine transporters: studies with atomoxetine in non-human primates. Neuroimage 56: 268– 279. 20869448 PMC3710586
  22. Gau SS Huang WL (2014) Rapid visual information processing as a cognitive endophenotype of attention deficit hyperactivity disorder. Psychol Med 44: 435– 446. 23561037
  23. Hahn A Wadsak W Windischberger C Baldinger P Hoflich AS Losak J Nics L Philippe C Kranz GS Kraus C Mitterhauser M Karanikas G Kasper S Lanzenberger R (2012) Differential modulation of the default mode network via serotonin-1A receptors. Proc Natl Acad Sci U S A 109: 2619– 2624. 22308408 PMC3289336
  24. Hayasaka S Nichols TE (2003) Validating cluster size inference: random field and permutation methods. NeuroImage 20: 2343– 2356. 14683734
  25. Hayasaka S Phan KL Liberzon I Worsley KJ Nichols TE (2004) Nonstationary cluster-size inference with random field and permutation methods. NeuroImage 22: 676– 687. 15193596
  26. Hoekzema E Carmona S Ramos-Quiroga JA Richarte Fernandez V Bosch R Soliva JC Rovira M Bulbena A Tobena A Casas M Vilarroya O (2014) An independent components and functional connectivity analysis of resting state fMRI data points to neural network dysregulation in adult ADHD. Hum Brain Mapp 35: 1261– 1272. 23417778 PMC6869838
  27. Kucyi A Hove MJ Biederman J Van Dijk KR Valera EM (2015) Disrupted functional connectivity of cerebellar default network areas in attention-deficit/hyperactivity disorder. Hum Brain Mapp 36: 3373– 3386. 26109476 PMC4562390
  28. Kundu P Brenowitz ND Voon V Worbe Y Vertes PE Inati SJ Saad ZS Bandettini PA Bullmore ET (2013) Integrated strategy for improving functional connectivity mapping using multiecho fMRI. Proc Natl Acad Sci U S A 110: 16187– 16192. 24038744 PMC3791700
  29. Lancaster JL Tordesillas-Gutierrez D Martinez M Salinas F Evans A Zilles K Mazziotta JC Fox PT (2007) Bias between MNI and Talairach coordinates analyzed using the ICBM-152 brain template. Hum Brain Mapp 28: 1194– 1205. 17266101 PMC6871323
  30. Li AN Xiao-Hua CA Qing-Jiu CA Li SU Li YA Qi-Hong ZO Rubia KA Yu-Feng ZA Yu-Feng WA (2013) Methylphenidate normalizes resting-state brain dysfunction in boys with attention deficit hyperactivity disorder. Neuropsychopharmacology 38: 1287– 95. 23340519 PMC3656372
  31. Marquand AF O’Daly OG De Simoni S Alsop DC Maguire RP Williams SC Zelaya FO Mehta MA (2012) Dissociable effects of methylphenidate, atomoxetine and placebo on regional cerebral blood flow in healthy volunteers at rest: a multi-class pattern recognition approach. NeuroImage 60: 1015– 1024. 22266414 PMC3314973
  32. Mattfeld AT Gabrieli JD Biederman J Spencer T Brown A Kotte A Kagan E Whitfield-Gabrieli S (2014) Brain differences between persistent and remitted attention deficit hyperactivity disorder. Brain 137: 2423– 2428. 24916335
  33. McCarthy H Skokauskas N Mulligan A Donohoe G Mullins D Kelly J Johnson K Fagan A Gill M Meaney J Frodl T (2013) Attention network hypoconnectivity with default and affective network hyperconnectivity in adults diagnosed with attention-deficit/hyperactivity disorder in childhood. JAMA Psychiatry 70: 1329– 1337. 24132732
  34. Meadows M-E (2011) Calcarine cortex. In: Encyclopedia of clinical neuropsychology (Kreutzer J DeLuca J Caplan B, eds), pp 472– 472. New York: Springer.
  35. Miller GA Chapman JP (2001) Misunderstanding analysis of covariance. J Abnormal Psych 110: 40– 48. 11261398
  36. Nandam LS Hester R Bellgrove MA (2014) Dissociable and common effects of methylphenidate, atomoxetine and citalopram on response inhibition neural networks. Neuropsychologia 56: 263– 270. 24513025
  37. Newcorn JH Sutton VK Weiss MD Sumner CR (2009) Clinical responses to atomoxetine in attention-deficit/hyperactivity disorder: the Integrated Data Exploratory Analysis (IDEA) study. J Am Acad Child Adolesc Psychiatry 48: 511– 518. 19318988
  38. Ni HC Lin YJ Gau SS Huang HC Yang LK (2013a) An open-label, randomized trial of methylphenidate and atomoxetine treatment in adults With ADHD. J Atten Disord. 23475825
  39. Ni HC Shang CY Gau SS Lin YJ Huang HC Yang LK (2013b) A head-to-head randomized clinical trial of methylphenidate and atomoxetine treatment for executive function in adults with attention-deficit hyperactivity disorder. Int J Neuropsychopharmacol 16: 1959– 1973. 23672818
  40. Patriat R Molloy EK Meier TB Kirk GR Nair VA Meyerand ME Prabhakaran V Birn RM (2013) The effect of resting condition on resting-state fMRI reliability and consistency: a comparison between resting with eyes open, closed, and fixated. Neuroimage 78: 463– 473. 23597935 PMC4003890
  41. Posner J Park C Wang Z (2014) Connecting the dots: a review of resting connectivity MRI studies in attention-deficit/hyperactivity disorder. Neuropsychol Rev 24: 3– 15. 24496902 PMC4119002
  42. Qi R Zhang LJ Lu GM (2014) Emphasize the effect of methylphenidate on brain function in attention-deficit/hyperactivity disorder research. JAMA Psychiatry 71: 210. 24500632
  43. Retz W Stieglitz RD Corbisiero S Retz-Junginger P Rosler M (2012) Emotional dysregulation in adult ADHD: What is the empirical evidence? Expert Rev Neurother 12: 1241– 1251. 23082740
  44. Sarpal DK Robinson DG Lencz T Argyelan M Ikuta T Karlsgodt K Gallego JA Kane JM Szeszko PR Malhotra AK (2015) Antipsychotic treatment and functional connectivity of the striatum in first-episode schizophrenia. JAMA Psychiatry 72: 5– 13. 25372846 PMC4286512
  45. Seixas M Weiss M Muller U (2012) Systematic review of national and international guidelines on attention-deficit hyperactivity disorder. J Psychopharmacol 26: 753– 765. 21948938
  46. Seneca N Gulyas B Varrone A Schou M Airaksinen A Tauscher J Vandenhende F Kielbasa W Farde L Innis RB Halldin C (2006) Atomoxetine occupies the norepinephrine transporter in a dose-dependent fashion: a PET study in nonhuman primate brain using (S,S)-[18F]FMeNER-D2. Psychopharmacology (Berl) 188: 119– 127. 16896954
  47. Shulman GL Astafiev SV Franke D Pope DL Snyder AZ McAvoy MP Corbetta M (2009) Interaction of stimulus-driven reorienting and expectation in ventral and dorsal frontoparietal and basal ganglia-cortical networks. J Neurosci 29: 4392– 4407. 19357267 PMC2743562
  48. Silk TJ Vance A Rinehart N Bradshaw JL Cunnington R (2009) White-matter abnormalities in attention deficit hyperactivity disorder: a diffusion tensor imaging study. Hum Brain Mapp 30: 2757– 2765. 19107752 PMC6870653
  49. Song XW Dong ZY Long XY Li SF Zuo XN Zhu CZ He Y Yan CG Zang YF (2011) REST: a toolkit for resting-state functional magnetic resonance imaging data processing. PLoS One 6: e25031. 21949842 PMC3176805
  50. Sripada C Kessler D Fang Y Welsh RC Prem Kumar K Angstadt M (2014) Disrupted network architecture of the resting brain in attention-deficit/hyperactivity disorder. Hum Brain Mapp 35: 4693– 4705. 24668728 PMC6869736
  51. Suckling J (2011) Correlated covariates in ANCOVA cannot adjust for pre-existing differences between groups. Schizophr Res 126: 310– 311. 20850273
  52. Tagliazucchi E Laufs H (2014) Decoding wakefulness levels from typical fMRI resting-state data reveals reliable drifts between wakefulness and sleep. Neuron 82: 695– 708. 24811386
  53. Tzourio-Mazoyer N Landeau B Papathanassiou D Crivello F Etard O Delcroix N Mazoyer B Joliot M (2002) Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. NeuroImage 15: 273– 289. 11771995
  54. Van Dijk KR Hedden T Venkataraman A Evans KC Lazar SW Buckner RL (2010) Intrinsic functional connectivity as a tool for human connectomics: theory, properties, and optimization. J Neurophysiol 103: 297– 321. 19889849 PMC2807224
  55. Whitfield-Gabrieli S Nieto-Castanon A (2012) Conn: a functional connectivity toolbox for correlated and anticorrelated brain networks. Brain Connect 2: 125– 141. 22642651
  56. Xia M Wang J He Y (2013) BrainNet Viewer: a network visualization tool for human brain connectomics. PLoS One 8: e68910. 23861951 PMC3701683
  57. Xia S Foxe JJ Sroubek AE Branch C Li X (2014) Topological organization of the “small-world” visual attention network in children with attention deficit/hyperactivity disorder (ADHD). Front Hum Neurosci 8: 162. 24688465 PMC3960496
  58. Yan CG Cheung B Kelly C Colcombe S Craddock RC Di Martino A Li Q Zuo XN Castellanos FX Milham MP (2013) A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics. NeuroImage 76: 183– 201. 23499792 PMC3896129
  59. Yeh CB Gau SS Kessler RC Wu YY (2008) Psychometric properties of the Chinese version of the adult ADHD Self-report Scale. Int J Methods Psychiatr Res 17: 45– 54. 18286465 PMC6878254

Cited by

Sorted by citations

Authors
Lin, H.-Y., & Gau, S. S.-F.
Affiliations
National Taiwan University (TW)
Corresponding author
Gau, Susan Shur-Fen
Venue
International Journal of Neuropsychopharmacology
Published
2015-09-16
Volume
19
Issue
3
Pages
pyv094
ISSN
  • 1461-1457 (ISSN-L)
  • 1469-5111
OpenAlex
W2321159218
Cited by
37
References
12
Citations by year
2026: 2 · 2025: 1 · 2024: 4 · 2023: 2 · 2022: 4 · 2021: 2 · 2020: 3 · 2019: 4 · 2018: 6 · 2017: 4 · 2016: 4 · 2015: 1
FWCI
4.06
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • The International Journal of Neuropsychopharmacology (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • HighWire Press Open Archive (submittedVersion)
Funders
  • National Science Council
  • National Health Research Institutes
  • National Taiwan University Hospital
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Attention Deficit Hyperactivity Disorder
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
Keywords
atomoxetine, adult ADHD, resting-state functional connectivity, default mode network, dorsal attention network, cognitive control network, affective networks, seed-based functional connectivity, treatment response
MeSH terms
Atomoxetine Hydrochloride, Adolescent, Adult, Attention Deficit Disorder with Hyperactivity, Brain, Brain Mapping, Double-Blind Method, Female, Follow-Up Studies, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Neural Pathways, Neuropsychological Tests, Psychotropic Drugs, Rest, Case-Control Studies, Treatment Outcome, Adrenergic Uptake Inhibitors, Young Adult

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review