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Listen to the noise: noise is beneficial for cognitive performance in ADHD
Abstract
Background: Noise is typically conceived of as being detrimental to cognitive performance. However, given the mechanism of stochastic resonance, a certain amount of noise can benefit performance. We investigate cognitive performance in noisy environments in relation to a neurocomputational model of attention deficit hyperactivity disorder (ADHD) and dopamine. The Moderate Brain Arousal model (MBA; ) suggests that dopamine levels modulate how much noise is required for optimal cognitive performance. We experimentally examine how ADHD and control children respond to different encoding conditions, providing different levels of environmental stimulation. Methods: Participants carried out self‐performed mini tasks (SPT), as a high memory performance task, and a verbal task (VT), as a low memory task. These tasks were performed in the presence, or absence, of auditory white noise. Results: Noise exerted a positive effect on cognitive performance for the ADHD group and deteriorated performance for the control group, indicating that ADHD subjects need more noise than controls for optimal cognitive performance. Conclusions: The positive effect of white noise is explained by the phenomenon of stochastic resonance (SR), i.e., the phenomenon that moderate noise facilitates cognitive performance. The MBA model suggests that noise in the environment, introduces internal noise into the neural system through the perceptual system. This noise induces SR in the neurotransmitter systems and makes this noise beneficial for cognitive performance. In particular, the peak of the SR curve depends on the dopamine level, so that participants with low dopamine levels (ADHD) require more noise for optimal cognitive performance compared to controls.
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“Söderlund et al., (2007) recently studied the effects of white noise on performance and found a small but significant degree of facilitation amongst ADHD children.”
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 Söderlund et al., (2007)
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Metadata
- Authors
- Söderlund, G., Sikström, S., & Smart, A.
- Affiliations
- Stockholm University (SE)
- Lund University (SE)
- New York University (US)
- Corresponding author
- Söderlund, Göran
- Venue
- Journal of Child Psychology and Psychiatry
- Publisher
- Wiley
- Published
- 2007-08
- Volume
- 48
- Issue
- 8
- Pages
- 840-847
- ISSN
- 0021-9630 (ISSN-L)
- 1469-7610
- OpenAlex
- W2033075228
- Semantic Scholar
- c81893b45410165c38d55a635d4e12db79201fa8
- Cited by
- 256
- References
- 49
- Citations by year
- 2026: 19 · 2025: 17 · 2024: 12 · 2023: 22 · 2022: 16 · 2021: 8 · 2020: 12 · 2019: 16 · 2018: 17 · 2017: 17 · 2016: 14 · 2015: 13 · 2014: 17 · 2013: 19 · 2012: 10
- FWCI
- 4.23
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Child Psychology and Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- ePrints Soton (University of Southampton) (submittedVersion)
- Lund University Publications (Lund University) (submittedVersion)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Attention Deficit Hyperactivity Disorder
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › stochastic dynamics and bifurcation
- Physical Sciences › Physics and Astronomy › Acoustics and Ultrasonics › Noise Effects and Management
- Keywords
- attention deficit hyperactivity disorder, stochastic resonance, white noise, cognitive performance, dopamine, environmental stimulation, children, memory performance, verbal tasks
- MeSH terms
- Acoustic Stimulation, Adolescent, Analysis of Variance, Attention Deficit Disorder with Hyperactivity, Child, Cognition, Humans, Male, Memory, Short-Term, Noise, Mental Recall, Task Performance and Analysis
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 ›
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