Hostname: page-component-78c5997874-lj6df Total loading time: 0 Render date: 2024-11-19T04:06:25.505Z Has data issue: false hasContentIssue false

Computerized Neuropsychological Assessments: Pros and Cons

Published online by Cambridge University Press:  07 November 2014

Rights & Permissions [Opens in a new window]

Abstract

Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Communique
Copyright
Copyright © Cambridge University Press 2009

References

REFERENCES

1.Woo, E. Computerized neuropsychological assessments. CNS Spectr. 2008;13(10 suppl 16):1417.Google Scholar
2.Cernich, A, Brennana, D, Barker, L, Bleiberg, J. Sources of error in computerized neuropsychological assessment. Arch Clin Neuropsychology. 2007;22:3948.Google Scholar
3.Guidelines for Computer-Based Tests and Interpretation. Washington, DC: American Psychological Association; 1987.Google Scholar
4.American Educational Research Association, American Psychological Association, and the National Council on Measurement in Education. Standards for Educational and Psychological Testing. Washington, DC: American Educational Research Association; 1999.Google Scholar
5.Kawamoto, K, Houlihan, CA, Balas, EA, Lobach, DF. Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success. BMJ. 2005;330:765.Google Scholar
6.Paul, R, Lawrence, J, Williams, L, Richard, C, Cooper, N, Gordon, E. Preliminary validity of “integneuro”: a new computerized battery of neurocognitive tests. Int J Neurosci. 2005;115:15491567.CrossRefGoogle ScholarPubMed
7.Silverstein, SM, Berten, S, Olson, P, et al.Development and validation of a World-Wide-Web-based neurocognitive assessment battery: WebNeuro. Behav Res Methods. 2007;39:940949.Google Scholar
8.Gatt, JM, Nemeroff, CB, Dobson-Stone, C, et al.Interactions between BDNF Val66Met polymorphism and early life stress predict brain and arousal pathways to syndromal depression and anxiety. Mol Psychiatry. 2009 Jan 20. [Epub ahead of print].Google Scholar
9.Kemp, AH, Gordon, E, Rush, AJ, Williams, LM. Improving the prediction of treatment response in depression: integration of clinical, cognitive, psychophysiological, neuroimaging, and genetic measures. CNS Spectr. 2008;13:10661086.Google Scholar
10.Williams, LM, Whitford, TJ, Flynn, G, et al.General and social cognition in first episode schizophrenia: identification of separable factors and prediction of functional outcome using the IntegNeuro test battery. Schizophr Res. 2008;99:182191.Google Scholar
11.Clark, CR, Paul, RH, Williams, LM, et al.Standardized assessment of cognitive functioning during development and aging using an automated touchscreen battery. Arch Clin Neuropsychol. 2006;21:449467.CrossRefGoogle ScholarPubMed
12.Williams, L, Simms, E, Clark, C, Paul, R, Rowe, D, Gordon, E. The test-retest reliability of a standardized neurocognitive and neurophysiological test battery: “neuromarker”. Int J Neurosci. 2005;115:16051630.Google Scholar
13.Mathersul, D, Palmer, D, Gur, R, et al.Explicit identification and implicit recognition of facial emotions: II. Core domains and relationships with general cognition. J Clin Exp Neuropsychol. 2008 Aug 19:1-14. [Epub ahead of print].Google Scholar
14.Williams, L, Mathersul, D, Palmer, D, Gur, R, Gur, R, Gordon, E. Explicit identification and implicit recognition of facial emotions: I. Age effects in males and females across 10 decades. J Clin Exp Neuropsychol. 2008 Aug 19:1-21. [Epub ahead of print].Google ScholarPubMed
15. BRAINnet - Brian Research And Integrative Neuroscience Network home page. Available at: http://www.brainnet.net. Accessed January 13, 2009.Google Scholar
1.Woo, E. Computerized neuropsychological assessments. CNS Spectr. 2008;13(10 suppl 16):1417.Google Scholar
2.Schatz, P, Browndyke, J. Applications of computer-based neuropsychological assessment. J Head Trauma Rehabil. 2002;17:395410.Google Scholar