Whither causal models in the neuroscience of ADHD?
Whither causal models in the neuroscience of ADHD?
In this paper we examine the current status of the science of ADHD from a theoretical point of view. While the field has reached the point at which a number of causal models have been proposed, it remains some distance away from demonstrating the viability of such models empirically. We identify a number of existing barriers and make proposals as to the best way for these to be overcome in future studies. These include the need to work across multiple levels of analysis in multidisciplinary teams; the need to recognize the existence of, and then model, causal heterogeneity; the need to integrate environmental and social processes into models of genetic and neurobiological influence; and the need to model developmental processes in a dynamic fashion. Such a model of science, although difficult to achieve, has the potential to provide the sort of framework for programmatic model-based research required if the power and sophistication of new neuroscience technologies are to be effectively exploited.
105-114
Coghill, Dave
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Nigg, Joel
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Rothenberger, Aribert
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Sonuga-Barke, Edmund
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Tannock, Rosemary
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March 2005
Coghill, Dave
48230f6d-a7e7-4761-ad4b-4d3769779f8c
Nigg, Joel
a3e99b0c-1a58-4acd-b668-d7468086212d
Rothenberger, Aribert
736981ca-a16d-44b3-8312-2067dc792a6d
Sonuga-Barke, Edmund
bc80bf95-6cf9-4c76-a09d-eaaf0b717635
Tannock, Rosemary
cfe9e585-dd98-400a-b51a-e4fb5d8305e8
Coghill, Dave, Nigg, Joel, Rothenberger, Aribert, Sonuga-Barke, Edmund and Tannock, Rosemary
(2005)
Whither causal models in the neuroscience of ADHD?
Developmental Science, 8 (2), .
(doi:10.1111/j.1467-7687.2005.00397.x).
Abstract
In this paper we examine the current status of the science of ADHD from a theoretical point of view. While the field has reached the point at which a number of causal models have been proposed, it remains some distance away from demonstrating the viability of such models empirically. We identify a number of existing barriers and make proposals as to the best way for these to be overcome in future studies. These include the need to work across multiple levels of analysis in multidisciplinary teams; the need to recognize the existence of, and then model, causal heterogeneity; the need to integrate environmental and social processes into models of genetic and neurobiological influence; and the need to model developmental processes in a dynamic fashion. Such a model of science, although difficult to achieve, has the potential to provide the sort of framework for programmatic model-based research required if the power and sophistication of new neuroscience technologies are to be effectively exploited.
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Published date: March 2005
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Local EPrints ID: 54626
URI: http://eprints.soton.ac.uk/id/eprint/54626
PURE UUID: 04a53df3-1b15-47d0-8d2b-ddf89c0851cc
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Date deposited: 29 Jul 2008
Last modified: 15 Mar 2024 10:49
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Author:
Dave Coghill
Author:
Joel Nigg
Author:
Aribert Rothenberger
Author:
Edmund Sonuga-Barke
Author:
Rosemary Tannock
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