Hostname: page-component-cd9895bd7-mkpzs Total loading time: 0 Render date: 2024-12-18T23:08:37.108Z Has data issue: false hasContentIssue false

Time Estimation and Production in HIV-Associated Neurocognitive Disorders (HAND)

Published online by Cambridge University Press:  09 April 2015

Katie L. Doyle
Affiliation:
Joint Doctoral Program in Clinical Psychology, San Diego State University/University of California, San Diego, San Diego, California
Erin E. Morgan
Affiliation:
Department of Psychiatry, University of California, San Diego, La Jolla, California
Erica Weber
Affiliation:
Joint Doctoral Program in Clinical Psychology, San Diego State University/University of California, San Diego, San Diego, California
Steven Paul Woods*
Affiliation:
Department of Psychiatry, University of California, San Diego, La Jolla, California Department of Psychology, University of Houston, Houston, Texas
*
Correspondence and reprint requests to: Steven Paul Woods, Department of Psychology, University of Houston, 126 Heyne Building, Houston, TX 77204-5022. E-mail: [email protected]

Abstract

The ability to accurately perceive the passage of time relies on several neurocognitive abilities, including attention, memory, and executive functions, which are domains commonly affected in persons living with HIV disease. The current study examined time estimation and production and their neurocognitive correlates in a sample of 53 HIV+ individuals with HIV-associated neurocognitive disorders (HAND), 120 HIV+ individuals without HAND, and 113 HIV− individuals. Results revealed a moderate main effect of HAND on time estimation and a trend-level effect on time production, but no interaction between HAND and time interval duration. Correlational analyses revealed that time estimation in the HIV+ group was associated with attention, episodic memory and time-based prospective memory. Findings indicate that individuals with HAND evidence deficits in time interval judgment suggestive of failures in basic attentional and memory processes. (JINS, 2015, 21, 175–181)

Type
Brief Communications
Copyright
Copyright © The International Neuropsychological Society 2015 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Antinori, A., Arendt, G., Becker, J.T., Brew, B.J., Byrd, D.A., Cherner, M., & Wojna, V.E. (2007). Updated research nosology for HIV-associated neurocognitive disorders. Neurology, 69, 17891799.CrossRefGoogle ScholarPubMed
Barkley, R.A., Murphy, K.R., & Bush, T. (2001). Time perception and reproduction in young adults with attention deficit hyperactivity disorder. Neuropsychology, 15, 351.Google Scholar
Benjamini, Y., & Hochberg, Y. (1995). Controlling the false discovery rate: A practical and powerful approach to multiple testing. Journal of the Royal Statistical Society, 57, 289300.Google Scholar
Beste, C., Saft, C., Andrich, J., Müller, T., Gold, R., & Falkenstein, M. (2007). Time processing in Huntington’s disease: A group-control study. PLoS One, 2, e1263.Google Scholar
Blackstone, K., Moore, D.J., Franklin, D.R., Clifford, D.B., Collier, A.C., Marra, C.M., &Heaton, R.K. (2012). Defining neurocognitive impairment in HIV: Deficits scores versus clinical ratings. The Clinical Neuropsychologist, 26, 894908.Google Scholar
Block, R.A., Zakay, D., & Hancock, P.A. (1999). Developmental changes in human duration judgments: A meta-analytic review. Developmental Review, 19, 183211.Google Scholar
Brown, S.W. (1985). Time perception and attention: The effects of prospective versus retrospective paradigms and task demands on perceived duration. Perception & Psychophysics, 38, 115124.Google Scholar
Carey, C.L., Woods, S.P., Gonzalez, R., Conover, E., Marcotte, T.D., Grant, I., & Heaton, R.K. (2004). Predictive validity of global deficit scores in detecting neuropsychological impairment in HIV infection. Journal of Clinical and Experimental Neuropsychology, 26, 307319.Google Scholar
Caselli, L., Iaboli, L., & Nichelli, P. (2009). Time estimation in mild Alzheimer’s disease patients. Behavioral and Brain Functions, 5, 32.Google Scholar
Gibbon, J., Church, R.M., & Meck, W.H. (1984). Scalar timing in memory. Annals of the New York Academy of Sciences, 423, 5277.Google Scholar
Graf, P., & Grondin, S. (2006). Time perception and time-based prospective memory. In J. Glicksohn & M.S. Myslobodsky (Eds.), Timing the future: The case for time-based prospective memory (pp. 124). Singapore: World Scientific Publishing Company.Google Scholar
Harrington, D.L., & Haaland, K.Y. (1999). Neural underpinnings of temporal processing: Α review of focal lesion, pharmacological, and functional imaging research. Reviews in the Neurosciences, 10, 91116.CrossRefGoogle Scholar
Harris, J.E., & Wilkins, A.J. (1982). Remembering to do things: A theoretical framework and an illustrative experiment. Human Learning, 1, 123136.Google Scholar
Heaton, R.K., Clifford, D.B., Franklin, D.R., Woods, S.P., Ake, C., Vaida, F., & Grant, I. (2010). HIV-associated neurocognitive disorders persist in the era of potent antiretroviral therapy: CHARTER Study. Neurology, 75, 20872096.CrossRefGoogle ScholarPubMed
Meck, W.H. (2005). Neuropsychology of timing and time perception. Brain and Cognition, 58, 18.Google Scholar
Meissner, K., & Whitman, M. (2011). Body signals, cardiac awareness, and the perception of time. Biological Psychology, 86, 289297.Google Scholar
Morgan, E.E., Weber, E., Rooney, A.S., Grant, I., Woods, S.P., & the HIV Neurobehavioral Research Program (HNRP) Group. (2012). Longer ongoing task delay intervals exacerbate prospective memory deficits in HIV-associated neurocognitive disorders (HAND). Journal of Clinical and Experimental Neuropsychology, 34, 416427.Google Scholar
Morgan, E.E., Woods, S.P., Delano-Wood, L., Bondi, M.W., Grant, I., & The HNRP Group. (2011). Intraindividual variability in HIV infection: Evidence for greater neurocognitive dispersion in older HIV seropositive adults. Neuropsychology, 25, 645654.CrossRefGoogle ScholarPubMed
Morgan, E.E., Woods, S.P., Grant, I., & The HNRP Group. (2012). Intra-individual neurocognitive variability confers risk of dependence in activities of daily living among HIV-seropositive individuals without HIV-associated neurocognitive disorders. Archives of Clinical Neuropsychology, 27, 293303.Google Scholar
Pastor, M.A., Artieda, J., Jahanshahi, M., & Obeso, J.A. (1992). Time estimation and reproduction is abnormal in Parkinson’s disease. Brain, 115, 211225.Google Scholar
Perbal, S., Couillet, J., Azouvi, P., & Pouthas, V. (2003). Relationships between time estimation, memory, attention, and processing speed in patients with severe traumatic brain injury. Neuropsychologia, 41, 15991610.Google Scholar
Psychological Corporation. (2001). Wechsler Test of Adult Reading. San Antonio, TX: Psychological Corporation.Google Scholar
Raskin, S., Buckheit, C., & Sherrod, C. (2010). Memory for Intentions Test (MIsT). Lutz, FL: Psychological Assessment Resources, Inc.Google Scholar
Reger, M., Welsh, R., Razani, J., Martin, D.J., & Boone, K.B. (2002). A meta-analysis of the neuropsychological sequelae of HIV infection. Journal of the International Neuropsychological Society, 8, 410424.Google Scholar
West, R., Murphy, K.J., Armillo, M.L., Craik, F.M., & Stuss, D.T. (2002). Lapses of intention and performance variability reveal age-related increases in fluctuations of executive control. Brain and Cognition, 49, 402419.Google Scholar
Woods, S.P., Moran, L.M., Dawson, M.S., Carey, C.L., Grant, I., & the HIV Neurobehavioral Research Center (HNRC) Group. (2008). Psychometric characteristics of the memory for intentions screening test. The Clinical Neuropsychologist, 22, 864878.Google Scholar
World Health Organization. (1998). Composite International Diagnostic Interview (CIDI, Version 2.1). Geneva, Switzerland: World Health Organization.Google Scholar
Zakay, D. (1990). The evasive art of subjective time measurement: Some methodological dilemmas. In R.A. Block (Ed.), Cognitive models of psychological time (pp. 5984). Hillsdale, NJ: Erlbaum.Google Scholar