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The structure of normal human attention: The Test of Everyday Attention
Abstract
A range of tests of everyday attention is described, based on ecologically plausible activities such as searching maps, looking through telephone directories, and listening to lottery number broadcasts. An age-, sex- and IQ-stratified sample of 154 normal participants was given these tests, along with a number of existing tests of attention. The factor structure revealed by this data set matched well contemporary evidence for a set of functionally independent attentional circuits in the brain, and included factors for sustained attention, selective attention, attentional switching and auditory-verbal working memory. The Test of Everyday Attention (TEA), which was developed and standardized on the basis of these subtests, has three parallel forms, high test-retest reliability, and correlates significantly with existing measures of attention. Furthermore, selected subtests successfully discriminate among a number of brain-impaired groups, including closed head injury versus age-matched controls, minimal versus mild Alzheimer’s disease, and progressive supranuclear palsy patients versus age-matched controls. (JINS, 1996, 2, 525–534.)
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Cites
Studies of interference in serial verbal reactions
Stroop, J. R. (1935) · Journal of Experimental Psychology · doi:10.1037/h0054651 · Cited by 18,622
The attention system of the human brain
Posner, M. I., & Petersen, S. E. (1990) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.13.030190.000325 · Cited by 8,070
Pardo, J. V., Pardo, P. J., Janer, K. W., & Raichle, M. E. (1990) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.87.1.256 · Cited by 1,495
Localization of a human system for sustained attention by positron emission tomography
Pardo, J. V., Fox, P. T., & Raichle, M. E. (1991) · Nature · doi:10.1038/349061a0 · Cited by 1,284
Frontal lesions and sustained attention
Wilkins, A. J., Shallice, T., & McCarthy, R. (1987) · Neuropsychologia · doi:10.1016/0028-3932(87)90024-8 · Cited by 450
Modelling dementia: Effects of scopolamine on memory and attention
Broks, P., Preston, G. C., Traub, M., Poppleton, P., Ward, C., & Stahl, S. M. (1988) · Neuropsychologia · doi:10.1016/0028-3932(88)90004-8 · Cited by 220
Right hemisphere processing superiority during sustained visual attention
Whitehead, R. (1991) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1991.3.4.329 · Cited by 88
Cited by
Chaytor, N., & Schmitter-Edgecombe, M. (2003) · Neuropsychology Review · doi:10.1023/b:nerv.0000009483.91468.fb · Cited by 1,055
The ecological validity of tests of executive function
BURGESS, P. W., ALDERMAN, N., EVANS, J., EMSLIE, H., & WILSON, B. A. (1998) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617798466037 · Cited by 932
Langner, R., & Eickhoff, S. B. (2013) · Psychological Bulletin · doi:10.1037/a0030694 · Cited by 746
Typologies of attentional networks
Raz, A., & Buhle, J. (2006) · Nature Reviews Neuroscience · doi:10.1038/nrn1903 · Cited by 706
Manly, T., Anderson, V., Nimmo‐Smith, I., Turner, A., Watson, P., & Robertson, I. H. (2001) · Journal of Child Psychology and Psychiatry · doi:10.1111/1469-7610.00806 · Cited by 693
Self-citationRehabilitation of brain damage: Brain plasticity and principles of guided recovery.
Robertson, I. H., & Murre, J. M. J. (1999) · Psychological Bulletin · doi:10.1037/0033-2909.125.5.544 · Cited by 507
Self-citationUnderstanding Executive Control in Autism Spectrum Disorders in the Lab and in the Real World
Kenworthy, L., Yerys, B. E., Anthony, L. G., & Wallace, G. L. (2008) · Neuropsychology Review · doi:10.1007/s11065-008-9077-7 · Cited by 504
Sturm, W. (1999) · Neuropsychologia · doi:10.1016/s0028-3932(98)00141-9 · Cited by 443
SPOONER, D., & PACHANA, N. (2006) · Archives of Clinical Neuropsychology · doi:10.1016/j.acn.2006.04.004 · Cited by 323
A scientific cognitive-behavioral model of tinnitus: Novel conceptualizations of tinnitus distress.
McKenna, L., Handscomb, L., Hoare, D. J., & Hall, D. A. (2014) · Frontiers in Neurology · doi:10.3389/fneur.2014.00196 · Cited by 232
Cornish, K. M., Manly, T., Savage, R., Swanson, J., Morisano, D., Butler, N., Grant, C., Cross, G., Bentley, L., & Hollis, C. P. (2005) · Molecular Psychiatry · doi:10.1038/sj.mp.4001641 · Cited by 220
Mars, B., Heron, J., Klonsky, E. D., Moran, P., O'Connor, R. C., Tilling, K., Wilkinson, P., & Gunnell, D. (2019) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12878 · Cited by 185
CURRAN, H. V., COLLINS, R., FLETCHER, S., KEE, S. C. Y., WOODS, B., & ILIFFE, S. (2003) · Psychological Medicine · doi:10.1017/s0033291703008213 · Cited by 190
Course of Cognitive Development From Infancy to Early Adulthood in the Psychosis Spectrum
Mollon, J., David, A. S., Zammit, S., Lewis, G., & Reichenberg, A. (2018) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2017.4327 · Cited by 161
Outcome Measures for Clinical Trials in Down Syndrome
Esbensen, A. J., Hooper, S. R., Fidler, D., Hartley, S. L., Edgin, J., d'Ardhuy, X. L., Capone, G., Conners, F. A., Mervis, C. B., Abbeduto, L., et al. (2017) · American Journal on Intellectual and Developmental Disabilities · doi:10.1352/1944-7558-122.3.247 · Cited by 153
Biesbroek, J. M., Kuijf, H. J., van der Graaf, Y., Vincken, K. L., Postma, A., Mali, W. P. T. M., Biessels, G. J., Geerlings, M. I., & on behalf of the SMART Study Group (2013) · PLoS ONE · doi:10.1371/journal.pone.0060541 · Cited by 108
Hood, J., Baird, G., Rankin, P. M., & Isaacs, E. (2005) · Developmental Medicine & Child Neurology · doi:10.1017/s0012162205000794 · Cited by 54
Psychometric validation of the Dysexecutive Questionnaire (DEX)
Shaw, S., Oei, T. P. S., & Sawang, S. (2015) · Psychological Assessment · doi:10.1037/a0038195 · Cited by 50
Concrete behaviour and reappraisal deficits after a left frontal stroke: A case study
Salas, C. E., Gross, J. J., Rafal, R. D., Viñas-Guasch, N., & Turnbull, O. H. (2013) · Neuropsychological Rehabilitation · doi:10.1080/09602011.2013.784709 · Cited by 44
Reappraisal generation after acquired brain damage: The role of laterality and cognitive control
Salas, C. E., Gross, J. J., & Turnbull, O. H. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.00242 · Cited by 42
Genetics and neuroimaging of attention and hypnotizability may elucidate placebo
Raz, A. (2007) · International Journal of Clinical and Experimental Hypnosis · doi:10.1080/00207140701506482 · Cited by 25
Cognitive Performance in a Subclinical Obsessive-Compulsive Sample 1: Cognitive Functions
Johansen, T., & Dittrich, W. H. (2013) · Psychiatry Journal · doi:10.1155/2013/565191 · Cited by 21
Cholinergic deficiency in Parkinson’s disease patients with visual hallucinations
d’Angremont, E., van der Zee, S., Slingerland, S., Slomp, A. C., de Vries, E. F. J., van Laar, T., & Sommer, I. E. (2024) · Brain · doi:10.1093/brain/awae186 · Cited by 22
Capture by misleading information and its false acceptance in patients with traumatic brain injury
Dockree, P. M., O'Keeffe, F. M., Moloney, P., Bishara, A. J., Carton, S., Jacoby, L. L., & Robertson, I. H. (2006) · Brain · doi:10.1093/brain/awh664 · Cited by 22
Self-citationAuditory and visual sustained attention in Down syndrome
Faught, G. G., Conners, F. A., & Himmelberger, Z. M. (2016) · Research in Developmental Disabilities · doi:10.1016/j.ridd.2016.01.021 · Cited by 22
Foley, P., Kong, Y., Dirvanskiene, R., valdes-Hernandez, M., Bastiani, M., Murnane, J., Sellar, R., Roberts, N., Pernet, C., Weir, C., et al. (2022) · Brain Communications · doi:10.1093/braincomms/fcac124 · Cited by 11
(2012) · doi:10.1044/1058-0360(2012/11-0067
Metadata
- Authors
- Robertson, I. H., Ward, T., Ridgeway, V., & Nimmo-Smith, I.
- Venue
- Journal of the International Neuropsychological Society
- Publisher
- Cambridge University Press (CUP)
- Published
- 1996-11
- Volume
- 2
- Issue
- 6
- Pages
- 525-534
- ISSN
- 1355-6177 (ISSN-L)
- 1469-7661
- OpenAlex
- W2151369959
- Cited by
- 476
- References
- 7
- FWCI
- 3.89
- Type
- journal article
- Language
- en
- Open access
- closed
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