The DOI matches its Crossref record; 97 of the 99 references it cites were found in a registry or an index.
The top and the bottom of ADHD: a neuropsychological perspective
Abstract
Five models of attention deficit/hyperactivity disorder (ADHD) are reviewed. It is proposed that the cognitive-energetic model provides a reasonably comprehensive account of ADHD by incorporating the features of both the inhibition and delay aversion models. It is suggested that ADHD can only be accounted for by an analysis at three levels: top-down control, specific cognitive processes and energetic factors. It is argued that a refined and conceptually comprehensive neuropsychological battery is needed to advance research in ADHD. A widely distributed neural network involving frontal, basal ganglia, limbic and cerebellar loci seem implicated in ADHD.
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“abnormalities in DA and NE signalling have been reported in both MDD and ADHD, suggesting a potentially shared underlying pathophysiology, at least in some individuals [56][57][58][59].”
From Adult ADHD and comorbid disorders: clinical implications of a dimensional approach (2017) · cites this paper as [59]
In the citing paper
“Most studies report that ADHD-related increases in RTV disappear are attenuated, and often disappear, during faster ERs [39,83,85,86].”
From Reaction Time Variability in ADHD: A Review (2012) · cites this paper as [39]
In the citing paper
“Children with ADHD tend to perform more poorly in conditions of relatively slow, compared to fast and moderate event rates”
From Context-dependent Dynamic Processes in Attention Deficit/Hyperactivity Disorder: Differentiating Common and Unique Effects of State Regulation Deficits and Delay Aversion (2010) · cites this paper as Sergeant et al., 2003
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Metadata
- Authors
- Sergeant, J. A., Geurts, H., Huijbregts, S., Scheres, A., & Oosterlaan, J.
- Affiliations
- Vrije Universiteit Amsterdam (NL)
- Corresponding author
- Sergeant, Joseph A
- Venue
- Neuroscience & Biobehavioral Reviews
- Publisher
- Elsevier BV
- Published
- 2003-11
- Volume
- 27
- Issue
- 7
- Pages
- 583-592
- ISSN
- 0149-7634 (ISSN-L)
- OpenAlex
- W2121407687
- Cited by
- 372
- References
- 99
- Citations by year
- 2026: 6 · 2025: 12 · 2024: 7 · 2023: 11 · 2022: 8 · 2021: 12 · 2020: 13 · 2019: 15 · 2018: 9 · 2017: 16 · 2016: 24 · 2015: 11 · 2014: 25 · 2013: 11 · 2012: 22
- FWCI
- 2.23
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Neuroscience & Biobehavioral Reviews (publishedVersion)
- PubMed (publishedVersion)
- VU Research Portal (publishedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam) (submittedVersion)
- ePrints Soton (University of Southampton) (submittedVersion)
- Pure Amsterdam UMC (submittedVersion)
- Radboud Repository (Radboud University) (submittedVersion)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Attention Deficit Hyperactivity Disorder
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Social Sciences › Psychology › Neuropsychology and Physiological Psychology › Developmental and Educational Neuropsychology
- Keywords
- attention deficit hyperactivity disorder, inhibition model, top-down control, frontal lobe, basal ganglia, limbic system, cerebellum, artificial neural networks, neuropsychological assessment, cognitive processes
- MeSH terms
- Attention Deficit Disorder with Hyperactivity, Brain Chemistry, Humans, Mental Processes, Models, Neurological, Models, Psychological, Neural Pathways
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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 ›
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