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Brain alterations in children/adolescents with ADHD revisited: A neuroimaging meta-analysis of 96 structural and functional studies
Open accessAbstract
The findings of neuroimaging studies in children/adolescents with ADHD, and even those of previous meta-analyses, are divergent. Here, Activation Likelihood Estimation meta-analysis, following the current best-practice guidelines, was conducted. We searched multiple databases and traced the references up to June 2018. Then, we extracted the reported coordinates reflecting group comparison between ADHD and healthy subjects from 96 eligible studies, containing 1914 unique participants. The analysis of pooled structural and functional, sub-analyses restricted to modality, and in-/decreased contrast did not yield any significant findings. However, further sub-analyses in the task-fMRI experiments (neutral stimuli only) led to aberrant activity in the left pallidum/putamen and decreased activity (male subjects only) in the left inferior frontal gyrus. The overall findings indicate a lack of regional convergence in children/adolescents with ADHD, which might be due to heterogeneous clinical populations, various experimental design, preprocessing, statistical procedures in individual publications. Our results highlight the need for further high-powered investigations, but may also indicate ADHD pathophysiology might rest in network interactions rather than just regional abnormality.
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“Another meta-analysis including 130 fMRI studies with 1,914 participants found no convergence except for aberrant function in basal ganglia for neutral fMRI tasks and inferior frontal under-function in males only (Samea et al., 2019).”
From The World Federation of ADHD International Consensus Statement: 208 Evidence-based conclusions about the disorder (2021) · cites this paper as Samea et al., 2019
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“These findings suggest that ADHD symptoms/causes stem from disturbances in large-scale brain networks [23, 24] and structural, functional and neurochemical abnormalities in cortical and subcortical structures [13, 17, 25], which should be considered in therapeutic interventions.”
BackgroundSelf-citation
Metadata
- Authors
- Samea, F., Soluki, S., Nejati, V., Zarei, M., Cortese, S., Eickhoff, S. B., Tahmasian, M., & Eickhoff, C. R.
- Affiliations
- Shahid Beheshti University (IR)
- University of Nottingham (GB)
- Forschungszentrum Jülich (DE)
- Corresponding author
- Tahmasian, Masoud
- ORCID
- Venue
- Neuroscience & Biobehavioral Reviews
- Publisher
- Elsevier BV
- Published
- 2019-05
- Volume
- 100
- Pages
- 1-8
- ISSN
- 0149-7634 (ISSN-L)
- PMC
- PMC7966818
- OpenAlex
- W2915428382
- Cited by
- 245
- References
- 55
- Citations by year
- 2026: 29 · 2025: 33 · 2024: 44 · 2023: 36 · 2022: 40 · 2021: 31 · 2020: 25 · 2019: 5
- FWCI
- 4.24
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Neuroscience & Biobehavioral Reviews (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- ePrints Soton (University of Southampton) (acceptedVersion)
- JuSER (Forschungszentrum Jülich) (submittedVersion)
- Funders
- Shahid Beheshti University
- Deutsche Forschungsgemeinschaft DFG (EI 816/11-1)
- National Institute of Mental Health (R01-MH074457)
- Helmholtz Portfolio Theme "Supercomputing and Modeling for the Human Brain"
- European Union’s Horizon 2020 Research
- Innovation Programme (785907)
- 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, children and adolescents, brain changes, structural neuroimaging, functional neuroimaging, inferior frontal gyrus, sex differences, regional convergence, network interaction, ADHD pathophysiology
- MeSH terms
- Adolescent, Attention Deficit Disorder with Hyperactivity, Brain, Brain Mapping, Child, Humans, Magnetic Resonance Imaging, Likelihood Functions
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