Identifying a consistent pattern of neural function in attention deficit hyperactivity disorder: a meta-analysis
Abstract
Background: The neurobiological underpinnings of attention deficit hyperactivity disorder (ADHD) are inconclusive. Activation abnormalities across brain regions in ADHD compared with healthy controls highlighted in task-based functional magnetic resonance imaging (fMRI) studies are heterogeneous. To identify a consistent pattern of neural dysfunction in ADHD, a meta-analysis of fMRI studies using Go/no-go, Stop and N-back tasks was undertaken. Method: Several databases were searched using the key words: ‘ADHD and fMRI’ and ‘ADHD and fMRI task’. In all, 20 studies met inclusion criteria comprising 334 patients with ADHD and 372 healthy controls and were split into N-back, Stop task and Go/no-go case–control groups. Using Signed Differential Mapping each batch was meta-analysed individually and meta-regression analyses were used to examine the effects of exposure to methylphenidate (MPH), length of MPH wash-out period, ADHD subtype, age and intelligence quotient (IQ) differences upon neural dysfunction in ADHD. Results: Across all tasks less activity in frontal lobe regions compared with controls was detected. Less exposure to treatment and lengthier wash-out times resulted in less left medial frontal cortex activation in N-back and Go/no-go studies. Higher percentage of combined-type ADHD resulted in less superior and inferior frontal gyrus activation. Different IQ scores between groups were linked to reduced right caudate activity in ADHD. Conclusions: Consistent frontal deficits imply homogeneous cognitive strategies involved in ADHD behavioural control. Our findings suggest a link between fMRI results and the potentially normalizing effect of treatment and signify a need for segregated examination and contrast of differences in sample characteristics in future studies.
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A Stop task fMRI meta-analysis based on five pediatric and one adult fMRI studies confirmed that 74 ADHD relative to 102 controls had reduced activation in bilateral IFC/insula, but showed additionally reduced activation in right superior and middle frontal cortices.
“The Stop task fMRI meta-analysis, based on five pediatric and one adult fMRI studies, confirmed the previous meta-analytical findings that 74 ADHD relative to 102 controls had reduced activation in bilateral IFC/insula, but showed additionally reduced activation in right superior and middle frontal cortices (McCarthy et al., 2014).”
From Cognitive Neuroscience of Attention Deficit Hyperactivity Disorder (ADHD) and Its Clinical Translation (2018) · cites this paper as McCarthy et al., 2014
A meta-analysis of N-back WM fMRI studies showed that 111 ADHD patients relative to 113 controls had reduced activation in bilateral middle and superior PFC and left MFC/ACC.
“A meta-analysis of N-back WM fMRI studies showed that 111 ADHD patients relative to 113 controls had reduced activation in bilateral middle and superior PFC and left MFC/ACC (McCarthy et al., 2014).”
From Cognitive Neuroscience of Attention Deficit Hyperactivity Disorder (ADHD) and Its Clinical Translation (2018) · cites this paper as McCarthy et al., 2014
For the Go/no-go task, 149 ADHD patients had reduced activation relative to 159 healthy controls in predominantly left MFC/ACC and right caudate cortices.
“For the Go/no-go task, 149 ADHD patients had reduced activation relative to 159 healthy controls in predominantly left medial frontal cortex (MFC)/ACC and right caudate cortices (McCarthy et al., 2014)”
From Cognitive Neuroscience of Attention Deficit Hyperactivity Disorder (ADHD) and Its Clinical Translation (2018) · cites this paper as McCarthy et al., 2014
Meta-analyses of fMRI studies of inhibitory control find most consistently reduced activation in right, left or bilateral IFC, MFC/ACC/SMA and striato-thalamic regions, with some studies also finding DLPFC underactivation.
“In conclusion, meta-analyses of fMRI studies of inhibitory control find most consistently reduced activation in right, left or bilateral IFC, MFC/ACC/SMA and striato-thalamic regions with some studies also finding DLPFC underactivation (Hart et al., 2013; McCarthy et al., 2014; Lei et al., 2015; Norman et al., 2016).”
From Cognitive Neuroscience of Attention Deficit Hyperactivity Disorder (ADHD) and Its Clinical Translation (2018) · cites this paper as McCarthy et al., 2014
Combined-type ADHD relative to the inattentive subtype had more severe underactivation in right superior and IFC during the Stop task, in right caudate during the Go/no-go task, and in right cerebellum during the WM task.
“combined-type ADHD relative to the inattentive subtype had more severe underactivation in right superior and IFC during the Stop task, in right caudate during the Go/no-go task and in right cerebellum during the WM task.”
From Cognitive Neuroscience of Attention Deficit Hyperactivity Disorder (ADHD) and Its Clinical Translation (2018) · cites this paper as McCarthy et al., 2014
Areas of the DMN such as medial frontal and occipital regions were more enhanced in activation in the combined-type ADHD subgroup relative to controls for all tasks.
“areas of the DMN such as medial frontal and occipital regions were more enhanced in activation in the combined type ADHD subgroup relative to controls for all tasks (McCarthy et al., 2014).”
From Cognitive Neuroscience of Attention Deficit Hyperactivity Disorder (ADHD) and Its Clinical Translation (2018) · cites this paper as McCarthy et al., 2014
Stimulants may have effects lasting longer than 48 hours.
“However, stimulants may act longer than 48h”
From Cognitive heterogeneity in adult attention deficit/hyperactivity disorder: A systematic analysis of neuropsychological measurements (2015) · cites this paper as McCarthy et al., 2014
Cites
N-back working memory paradigm: a meta-analysis of normative functional neuroimaging studies.
Owen, A. M., McMillan, K. M., Laird, A. R., & Bullmore, E. (2005) · Human Brain Mapping · doi:10.1002/hbm.20131 · Cited by 3,560 · see citing works
FARAONE, S. V., BIEDERMAN, J., & MICK, E. (2006) · Psychological Medicine · doi:10.1017/s003329170500471x · Cited by 2,267 · see citing works
Biederman, J. (2000) · American Journal of Psychiatry · doi:10.1176/appi.ajp.157.5.816 · Cited by 1,498 · see citing works
MARTINUSSEN, R., HAYDEN, J., HOGG-JOHNSON, S., & TANNOCK, R. (2005) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/01.chi.0000153228.72591.73 · Cited by 1,297 · cited 2× · see citing works
“ADHD fMRI studies in both adults and children have utilized cognitive activation paradigms that target the neural circuits sub-serving the skills impaired in ADHD (Martinussen et al. 2005).”
BackgroundInfluentialToward systems neuroscience of ADHD: a meta-analysis of 55 fMRI studies
Cortese, S., Kelly, C., Chabernaud, C., Proal, E., Di Martino, A., Milham, M. P., & Castellanos, F. X. (2012) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2012.11101521 · Cited by 1,067 · cited 3× · see citing works
“(2012) found that the level of frontal region deactivation compared with controls coincided with increased task complexity, which could also account for differences we observed between groups particularly in Go/no-go studies (Huizenga et al. 2009; Cortese et al. 2012).”
ResultSimmonds, D. J., Pekar, J. J., & Mostofsky, S. H. (2008) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2007.07.015 · Cited by 1,015 · see citing works
Radua, J., Mataix-Cols, D., Phillips, M. L., El-Hage, W., Kronhaus, D. M., Cardoner, N., & Surguladze, S. (2012) · European Psychiatry · doi:10.1016/j.eurpsy.2011.04.001 · Cited by 765 · see citing works
Hart, H., Radua, J., Nakao, T., Mataix-Cols, D., & Rubia, K. (2013) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2013.277 · Cited by 764 · see citing works
The neural correlates of attention deficit hyperactivity disorder: an ALE meta‐analysis
Dickstein, S. G., Bannon, K., Xavier Castellanos, F., & Milham, M. P. (2006) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2006.01671.x · Cited by 745 · see citing works
Rubia, K., Smith, A. B., Halari, R., Matsukura, F., Mohammad, M., Taylor, E., & Brammer, M. J. (2009) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2008.08020212 · Cited by 322 · see citing works
Volkow, N. D., Wang, G., Fowler, J. S., Logan, J., Franceschi, D., Maynard, L., Ding, Y., Gatley, S. J., Gifford, A., Zhu, W., et al. (2002) · Synapse · doi:10.1002/syn.10038 · Cited by 321 · see citing works
Kessler, R. C., Green, J. G., Adler, L. A., Barkley, R. A., Chatterji, S., Faraone, S. V., Finkelman, M., Greenhill, L. L., Gruber, M. J., Jewell, M., et al. (2010) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2010.146 · Cited by 317 · see citing works
Pliszka, S. R., Glahn, D. C., Semrud-Clikeman, M., Franklin, C., Perez III, R., Xiong, J., & Liotti (2006) · American Journal of Psychiatry · doi:10.1176/ajp.2006.163.6.1052 · Cited by 278 · see citing works
Fassbender, C., & Schweitzer, J. B. (2006) · Clinical Psychology Review · doi:10.1016/j.cpr.2006.01.003 · Cited by 214 · see citing works
Functional neuroanatomy of working memory in adults with attention-deficit/hyperactivity disorder
Valera, E. M., Faraone, S. V., Biederman, J., Poldrack, R. A., & Seidman, L. J. (2005) · Biological Psychiatry · doi:10.1016/j.biopsych.2004.11.034 · Cited by 211 · see citing works
Proal, E. (2011) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2011.117 · Cited by 207 · see citing works
Bush, G., Spencer, T. J., Holmes, J., Shin, L. M., Valera, E. M., Seidman, L. J., Makris, N., Surman, C., Aleardi, M., Mick, E., et al. (2008) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2007.16 · Cited by 201 · see citing works
Rubia, K., Halari, R., Mohammad, A.-M., Taylor, E., & Brammer, M. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.04.018 · Cited by 171 · see citing works
Rubia, K., Halari, R., Cubillo, A., Mohammad, A., Scott, S., & Brammer, M. (2010) · Human Brain Mapping · doi:10.1002/hbm.20975 · Cited by 153 · see citing works
fMRI of Intrasubject Variability in ADHD: Anomalous Premotor Activity With Prefrontal Compensation
Suskauer, S. J., Simmonds, D. J., Caffo, B. S., Denckla, M. B., Pekar, J. J., & Mostofsky, S. H. (2008) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/chi.0b013e3181825b1f · Cited by 143 · see citing works
Sex differences in the functional neuroanatomy of working memory in adults with ADHD
Valera, E. M., Brown, A., Biederman, J., Faraone, S. V., Makris, N., Monuteaux, M. C., Whitfield-Gabrieli, S., Vitulano, M., Schiller, M., & Seidman, L. J. (2010) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2009.09020249 · Cited by 138 · see citing works
Rubia, K., Halari, R., Smith, A. B., Mohammad, M., Scott, S., & Brammer, M. J. (2009) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2008.02022.x · Cited by 137 · see citing works
Automated diagnoses of attention deficit hyperactive disorder using magnetic resonance imaging
Eloyan, A., Muschelli, J., Nebel, M. B., Liu, H., Han, F., Zhao, T., Barber, A. D., Joel, S., Pekar, J. J., Mostofsky, S. H., et al. (2012) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2012.00061 · Cited by 126 · see citing works
Schulz, K. P., Fan, J., Bédard, A.-C. V., Clerkin, S. M., Ivanov, I., Tang, C. Y., Halperin, J. M., & Newcorn, J. H. (2012) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2011.2053 · Cited by 114 · see citing works
Kobel, M., Bechtel, N., Weber, P., Specht, K., Klarhöfer, M., Scheffler, K., Opwis, K., & Penner, I.-K. (2009) · European Journal of Paediatric Neurology · doi:10.1016/j.ejpn.2008.10.008 · Cited by 104 · see citing works
Rubia, K., Cubillo, A., Woolley, J., Brammer, M. J., & Smith, A. (2011) · Human Brain Mapping · doi:10.1002/hbm.21048 · Cited by 98 · see citing works
Fassbender, C., Schweitzer, J. B., Cortes, C. R., Tagamets, M. A., Windsor, T. A., Reeves, G. M., & Gullapalli, R. (2011) · PLoS ONE · doi:10.1371/journal.pone.0027240 · Cited by 72 · cited 2× · see citing works
“…which utilize frontal regions, such as the middle frontal and inferior frontal gyri in working memory and inhibitory control (Valera et al. 2005; Fassbender et al. 2011); the medial frontal gyrus in self-regulation (Simmonds et al. 2008; Rubia et al. 2011a); and the superior frontal gyri and…”
BackgroundVloet, T. D., Gilsbach, S., Neufang, S., Fink, G. R., Herpertz-Dahlmann, B., & Konrad, K. (2010) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/00004583-201004000-00010 · Cited by 65 · see citing works
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Cited by
Sorted by citations
Norman, L. J., Carlisi, C., Lukito, S., Hart, H., Mataix-Cols, D., Radua, J., & Rubia, K. (2016) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2016.0700 · Cited by 426 · see citing works
Rubia, K. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00100 · Cited by 384 · see citing works
“A meta-analysis of N-back WM fMRI studies showed that 111 ADHD patients relative to 113 controls had reduced activation in bilateral middle and superior PFC and left MFC/ACC (McCarthy et al., 2014).”
BackgroundMethodResultInfluentialLukito, S., Norman, L., Carlisi, C., Radua, J., Hart, H., Simonoff, E., & Rubia, K. (2020) · Psychological Medicine · doi:10.1017/s0033291720000574 · Cited by 248 · see citing works
Samea, F., Soluki, S., Nejati, V., Zarei, M., Cortese, S., Eickhoff, S. B., Tahmasian, M., & Eickhoff, C. R. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.02.011 · Cited by 245 · see citing works
Structural and functional neuroimaging in attention-deficit/hyperactivity disorder
Albajara Sáenz, A., Villemonteix, T., & Massat, I. (2019) · Developmental Medicine & Child Neurology · doi:10.1111/dmcn.14050 · Cited by 154 · see citing works
Mostert, J. C., Onnink, A. M. H., Klein, M., Dammers, J., Harneit, A., Schulten, T., van Hulzen, K. J. E., Kan, C. C., Slaats-Willemse, D., Buitelaar, J. K., et al. (2015) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2015.08.010 · Cited by 142 · see citing works
Salehinejad, M. A., Wischnewski, M., Nejati, V., Vicario, C. M., & Nitsche, M. A. (2019) · PLOS ONE · doi:10.1371/journal.pone.0215095 · Cited by 126 · see citing works
“Recent meta-analyses of neuroimaging studies about functional abnormalities in ADHD populations showed a bilateral hypoactivity of the dlPFC [88] and reduced left medial frontal cortex activation [89] in ADHD populations during inhibitory control, WM and attention task performance.”
BackgroundSalehinejad, M. A., Nejati, V., Mosayebi-Samani, M., Mohammadi, A., Wischnewski, M., Kuo, M.-F., Avenanti, A., Vicario, C. M., & Nitsche, M. A. (2020) · Neuroscience Bulletin · doi:10.1007/s12264-020-00501-x · Cited by 118 · see citing works
Rubia, K., Criaud, M., Wulff, M., Alegria, A., Brinson, H., Barker, G., Stahl, D., & Giampietro, V. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2018.11.055 · Cited by 111 · see citing works
Soff, C., Sotnikova, A., Christiansen, H., Becker, K., & Siniatchkin, M. (2017) · Journal of Neural Transmission · doi:10.1007/s00702-016-1646-y · Cited by 111 · see citing works
Rommelse, N., Buitelaar, J. K., & Hartman, C. A. (2017) · Journal of Neural Transmission · doi:10.1007/s00702-016-1651-1 · Cited by 85 · see citing works
Sotnikova, A., Soff, C., Tagliazucchi, E., Becker, K., & Siniatchkin, M. (2017) · Brain Topography · doi:10.1007/s10548-017-0552-4 · Cited by 85 · see citing works
ADHD and ASD: distinct brain patterns of inhibition-related activation?
Albajara Sáenz, A., Septier, M., Van Schuerbeek, P., Baijot, S., Deconinck, N., Defresne, P., Delvenne, V., Passeri, G., Raeymaekers, H., Salvesen, L., et al. (2020) · Translational Psychiatry · doi:10.1038/s41398-020-0707-z · Cited by 62 · see citing works
Molavi, P., Nadermohammadi, M., Salvat Ghojehbeiglou, H., Vicario, C. M., Nitsche, M. A., & Salehinejad, M. A. (2020) · BMC Psychiatry · doi:10.1186/s12888-020-02887-4 · Cited by 51 · see citing works
“Nevertheless, finding from neuroimaging studies that partially supports a subtypespecific involvement of brain region in ADHD [13, 14] is needed in the future studies along with other neuropsychological measures to validate subtype-specific diagnose in children with ADHD.”
ResultHwang, S., White, S. F., Nolan, Z. T., Craig Williams, W., Sinclair, S., & Blair, R. J. R. (2015) · NeuroImage Clinical · doi:10.1016/j.nicl.2015.10.005 · Cited by 43 · see citing works
Functional imaging changes in the medial prefrontal cortex in adult ADHD
Salavert, J., Ramos-Quiroga, J. A., Moreno-Alcázar, A., Caseras, X., Palomar, G., Radua, J., Bosch, R., Salvador, R., McKenna, P. J., Casas, M., et al. (2018) · Journal of Attention Disorders · doi:10.1177/1087054715611492 · Cited by 39 · see citing works
Schulz, K. P., Li, X., Clerkin, S. M., Fan, J., Berwid, O. G., Newcorn, J. H., & Halperin, J. M. (2017) · Cortex · doi:10.1016/j.cortex.2017.01.019 · Cited by 39 · see citing works
Hilger, K., & Fiebach, C. J. (2019) · Network Neuroscience · doi:10.1162/netn_a_00083 · Cited by 31 · see citing works
Chen, Y., Li, G., Ide, J. S., Luo, X., & Li, C.-S. R. (2021) · Neuroimage: Reports · doi:10.1016/j.ynirp.2021.100025 · Cited by 16 · see citing works
Kofler, M. J., Sarver, D. E., & Wells, E. L. (2020) · Journal of Attention Disorders · doi:10.1177/1087054715608439 · Cited by 20 · see citing works
Wetterling, F., McCarthy, H., Tozzi, L., Skokauskas, N., O'Doherty, J. P., Mulligan, A., Meaney, J., Fagan, A. J., Gill, M., & Frodl, T. (2015) · Human Brain Mapping · doi:10.1002/hbm.22944 · Cited by 20 · see citing works
Richards, K. L., Karvelis, P., Lawrie, S. M., & Seriès, P. (2020) · PLoS ONE · doi:10.1371/journal.pone.0243100 · Cited by 12 · see citing works
- Authors
- McCarthy, H., Skokauskas, N., & Frodl, T.
- Affiliations
- Trinity College Dublin (IE)
- Corresponding author
- Frodl, T.
- Venue
- Psychological Medicine
- Publisher
- Cambridge University Press (CUP)
- Published
- 2013-05-13
- Volume
- 44
- Issue
- 4
- Pages
- 869-880
- ISSN
- 0033-2917 (ISSN-L)
- 1469-8978
- OpenAlex
- W2153211018
- Semantic Scholar
- f347e114c8d58ef2f7b6c62e32685eb8c4d47ad0
- Cited by
- 156
- References
- 28
- Citations by year
- 2026: 4 · 2025: 17 · 2024: 15 · 2023: 11 · 2022: 8 · 2021: 19 · 2020: 19 · 2019: 12 · 2018: 11 · 2017: 6 · 2016: 14 · 2015: 15 · 2014: 5
- FWCI
- 1.54
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Psychological Medicine (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Health Research Board
- Science Foundation Ireland
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Attention Deficit Hyperactivity Disorder
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Keywords
- attention deficit hyperactivity disorder, neural dysfunction, frontal lobe dysfunction, medial frontal cortex, n-back task, go/no-go task, stop-signal task, methylphenidate, washout period, combined type ADHD, caudate nucleus, IQ differences, cognitive control, brain activation
- MeSH terms
- Attention Deficit Disorder with Hyperactivity, Humans, Prefrontal Cortex, Executive Function
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