Event rate and reaction time performance in ADHD: testing predictions from the state regulation deficit hypothesis using an ex-Gaussian model
Event rate and reaction time performance in ADHD: testing predictions from the state regulation deficit hypothesis using an ex-Gaussian model
According to the state regulation deficit (SRD) account, ADHD is associated with a problem using effort to maintain an optimal activation state under demanding task settings such as very fast or very slow event rates. This leads to a prediction of disrupted performance at event rate extremes reflected in higher Gaussian response variability that is a putative marker of activation during motor preparation. In the current study, we tested this hypothesis using ex-Gaussian modeling, which distinguishes Gaussian from non-Gaussian variability. Twenty-five children with ADHD and 29 typically developing controls performed a simple Go/No-Go task under four different event-rate conditions. There was an accentuated quadratic relationship between event rate and Gaussian variability in the ADHD group compared to the controls. The children with ADHD had greater Gaussian variability at very fast and very slow event rates but not at moderate event rates. The results provide evidence for the SRD account of ADHD. However, given that this effect did not explain all group differences (some of which were independent of event rate) other cognitive and/or motivational processes are also likely implicated in ADHD performance deficits
adhd, ex-gaussian model, reaction time, state regulation deficit, event rate
1-11
Metin, Baris
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Wiersema, Jan R.
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Verguts, Tom
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Gasthuys, Roos
52176d13-9a0b-485e-9627-28c7b763c8ee
van Der Meere, Jacob J.
f0f3d2a0-95ef-4029-94c6-2d6e3b3c5b3b
Roeyers, Herbert
3554b6b3-e364-4a6a-9e8b-64f5188a6d60
Sonuga-Barke, Edmund
bc80bf95-6cf9-4c76-a09d-eaaf0b717635
6 December 2014
Metin, Baris
8203cbc4-64ac-406a-8aa7-6e2f43b82ef8
Wiersema, Jan R.
cc91556a-6a9f-4079-b0b8-502bd729b936
Verguts, Tom
6e5335fd-b742-4c58-8dd4-31a37e6c5d46
Gasthuys, Roos
52176d13-9a0b-485e-9627-28c7b763c8ee
van Der Meere, Jacob J.
f0f3d2a0-95ef-4029-94c6-2d6e3b3c5b3b
Roeyers, Herbert
3554b6b3-e364-4a6a-9e8b-64f5188a6d60
Sonuga-Barke, Edmund
bc80bf95-6cf9-4c76-a09d-eaaf0b717635
Metin, Baris, Wiersema, Jan R., Verguts, Tom, Gasthuys, Roos, van Der Meere, Jacob J., Roeyers, Herbert and Sonuga-Barke, Edmund
(2014)
Event rate and reaction time performance in ADHD: testing predictions from the state regulation deficit hypothesis using an ex-Gaussian model.
Child Neuropsychology, .
(doi:10.1080/09297049.2014.986082).
(PMID:25482092)
Abstract
According to the state regulation deficit (SRD) account, ADHD is associated with a problem using effort to maintain an optimal activation state under demanding task settings such as very fast or very slow event rates. This leads to a prediction of disrupted performance at event rate extremes reflected in higher Gaussian response variability that is a putative marker of activation during motor preparation. In the current study, we tested this hypothesis using ex-Gaussian modeling, which distinguishes Gaussian from non-Gaussian variability. Twenty-five children with ADHD and 29 typically developing controls performed a simple Go/No-Go task under four different event-rate conditions. There was an accentuated quadratic relationship between event rate and Gaussian variability in the ADHD group compared to the controls. The children with ADHD had greater Gaussian variability at very fast and very slow event rates but not at moderate event rates. The results provide evidence for the SRD account of ADHD. However, given that this effect did not explain all group differences (some of which were independent of event rate) other cognitive and/or motivational processes are also likely implicated in ADHD performance deficits
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More information
Accepted/In Press date: 5 November 2014
e-pub ahead of print date: 6 December 2014
Published date: 6 December 2014
Keywords:
adhd, ex-gaussian model, reaction time, state regulation deficit, event rate
Organisations:
Clinical Neuroscience
Identifiers
Local EPrints ID: 376605
URI: http://eprints.soton.ac.uk/id/eprint/376605
ISSN: 0929-7049
PURE UUID: 37cf76f2-0b80-496c-9c47-3c9c412ac56b
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Date deposited: 30 Apr 2015 13:32
Last modified: 14 Mar 2024 19:46
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Contributors
Author:
Baris Metin
Author:
Jan R. Wiersema
Author:
Tom Verguts
Author:
Roos Gasthuys
Author:
Jacob J. van Der Meere
Author:
Herbert Roeyers
Author:
Edmund Sonuga-Barke
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