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The impact of sleep deprivation and task difficulty on networks of fMRI brain response

Published online by Cambridge University Press:  08 September 2006

JOHN L. STRICKER
Affiliation:
VISN 22 MIRECC Program, Veterans Affairs San Diego Healthcare System, San Diego, California Psychology Service, Veterans Affairs San Diego Healthcare System, San Diego, California
GREGORY G. BROWN
Affiliation:
VISN 22 MIRECC Program, Veterans Affairs San Diego Healthcare System, San Diego, California Psychology Service, Veterans Affairs San Diego Healthcare System, San Diego, California Psychiatry Department, University of California San Diego, San Diego, California
LESLEY A. WETHERELL
Affiliation:
Psychiatry Department, University of California San Diego, San Diego, California Research Service, Veterans Affairs San Diego Healthcare System, San Diego, California
SEAN P.A. DRUMMOND
Affiliation:
Psychology Service, Veterans Affairs San Diego Healthcare System, San Diego, California Psychiatry Department, University of California San Diego, San Diego, California

Abstract

Previous fMRI research has found altered brain response after total sleep deprivation (TSD), with TSD effects moderated by task difficulty. Specific models of the impact of sleep deprivation and task difficulty on brain response have yet to be developed. Differences in networks of fMRI measured brain response during verbal encoding in sleep deprived and well-rested individuals were examined with structural equation modeling (SEM). During fMRI scanning, 23 healthy volunteers memorized words either easy or difficult to recall, 12 (well-rested) and 36 hours (sleep deprived) after awaking. A priori models that linked specified regions of interest were evaluated, with the focus on the extent to which two left parietal regions interacted with the left inferior frontal gyrus (Model 1) or with the right inferior frontal gyrus (Model 2). Task difficulty, not TSD, determined which model fit the brain response data; Model 2 fit best for hard words before and after TSD, whereas Model 1 fit best for easy words. TSD altered the patterns of interaction within each of the best fitting models: prefrontal interactions with the left inferior parietal lobe were diminished and intra-parietal interactions increased. Sleep deprivation and item difficulty produce different effects on brain networks involved in verbal learning. (JINS, 2006, 12, 591–597.)

Type
Research Article
Copyright
© 2006 The International Neuropsychological Society

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References

REFERENCES

Bondi, M.W., Houston, W.S., Eyler, L.T., & Brown, G.G. (2005). fMRI evidence of compensatory mechanisms in older adults at genetic risk for Alzheimer disease. Neurology, 64, 501508.Google Scholar
Browne, M.W. & Cudeck, R. (1993). Alternative ways of assessing model fit. In L.G. Grimm & P.R. Yarnold (Eds.), Testing Structural Equation Models. Newbury Park, CA: Sage.
Burnham, K.P. & Anderson, D.R. (1998). Model Selection and Inference: A Practical Information-Theoretic Approach. New York: Springer-Verlag.
Cabeza, R. & Nyberg, L. (2000). Imaging cognition II: An empirical review of 275 PET and fMRI studies. Journal of Cognitive Neuroscience, 12, 147.Google Scholar
Cabeza, R., Anderson, N.D., Locantore, J.K., & McIntosh, A.R. (2002). Aging gracefully: Compensatory brain activity in high-performing older adults. Neuroimage, 17, 13941402.Google Scholar
Chee, M.W.L., Venkatraman, V., Westphal, C., & Soon, C.S. (2003). Comparison of block and event-related fMRI designs in evaluating the word-frequency effect. Human Brain Mapping, 18, 186193.Google Scholar
Christian, J., Bickley, W., Tarka, M., & Clayton, K. (1978). Measures of free recall of 900 English nouns: Correlations with imagery, concreteness, meaningfulness, and frequency. Memory & Cognition, 6, 379390.Google Scholar
Clark, D. & Wagner, A.D. (2003). Assembling and encoding word representations: fMRI subsequent memory effects implicate a role for phonological control. Neuropsychologia, 41, 304317.Google Scholar
Cox, R.W. (1996). AFNI: Software for analysis and visualization of functional magnetic resonance neuroimages. Computers and Biomedical Research, 29, 162173.Google Scholar
Davidson, L.L. & Heinrichs, R.W. (2003). Quantification of frontal and temporal lobe brain-imaging findings in schizophrenia: a meta-analysis. Psychiatry Research, 122, 6987.Google Scholar
Drummond, S.P. & Brown, G.G. (2001). The effects of total sleep deprivation on cerebral responses to cognitive performance. Neuropsychopharmacology, 25, S6873.Google Scholar
Drummond, S.P., Brown, G.G., & Salamat, J.S. (2003). Brain regions involved in simple and complex grammatical transformations. Neuroreport, 14, 11171122.Google Scholar
Drummond, S.P., Brown, G.G., Salamat, J.S., & Gillin, J.C. (2004). Increasing task difficulty facilitates the cerebral compensatory response to total sleep deprivation. Sleep, 27, 445451.Google Scholar
Drummond, S.P., Meloy, M.J., Yanagi, M.A., Orff, H.J., & Brown, G.G. (2005). Compensatory recruitment after sleep deprivation and the relationship with performance. Psychiatry Research: Neuroimaging, 140, 211223.Google Scholar
Drummond, S.P., Brown, G.G., Gillin, J.C., Stricker, J.L., Wong, E.C., & Buxton, R.B. (2000). Altered brain response to verbal learning following sleep deprivation. Nature, 403, 655657.Google Scholar
Eyler Zorrilla, L.T., Jeste, D.V., Paulus, M., & Brown, G.G. (2003). Functional abnormalities of medial temporal cortex during novel picture learning among patients with chronic schizophrenia. Schizophrenia Research, 59, 187198.Google Scholar
Frackowiak, R.S.J., Friston, K.J., Frith, C.D., Dolan, R.J., & Mazziotta, J.C. (1997). Human Brain Function. New York: Academic Press.
Friston, K.J., Zarahn, E., Josephs, O., Henson, R.N., & Dale, A.M. (1999). Stochastic designs in event-related fMRI. Neuroimage, 10, 607619.Google Scholar
Horwitz, B. (2003). The elusive concept of brain connectivity. Neuroimage, 19, 466470.Google Scholar
Horwitz, B., Tagamets, M.A., & McIntosh, A.R. (1999). Neural modeling, functional brain imaging, and cognition. Trends in Cognitive Science, 3, 9198.Google Scholar
Horwitz, B., Warner, B., Fitzer, J., Tagamets, M.A., Husain, F.T., & Long, T.W. (2005). Investigating the neural basis for functional and effective connectivity. Application to fMRI. Philosophical Transactions of the Royal Society of London, Series B, 360, 10931108.Google Scholar
Kline, R.B. (2005). Principles and Practice of Structural Equation Modeling, 2nd edition. New York: Guilford Press.
Loehlin, J.C. (2004). Latent Variable Models: An Introduction to Factor, Path, and Structural Analysis, 4th edition. Mahwah, NJ: Lawrence Erlbaum.
Luria, A.R. (1966). Higher Cortical Functions in Man. New York: Basic Books.
MacCallum, R.C. (1986). Specification searches in covariance structure modeling. Psychological Bulletin, 100, 107120.Google Scholar
McIntosh, A.R. (1998). Understanding neural interactions in learning and memory using functional neuroimaging. Annals of the New York Academy of Sciences, 855, 556571.Google Scholar
McIntosh, A.R. (2004). Contexts and catalysts: A resolution of the localization and integration of function in the brain. Neuroinformatics, 2, 175182.Google Scholar
Neale, M.C. (2003). Mx: Statistical Modeling. 1.54a Edition: Virginia Commonwealth University.
Rogers, N.L., Dorrian, J., & Dinges, D.F. (2003). Sleep, waking and neurobehavioral performance. Frontiers in Bioscience, 8, s10561067.Google Scholar
Smith, E.E. & Jonides, J. (1998). Neuroimaging analyses of human working memory. Proceedings of the National Academy of Sciences, 95, 1206112068.Google Scholar
Stricker, J.L., Drummond, S.P., Wetherell, L.A., & Brown, G.G. (2006). Compensation in action: Networks of activation differ in sleep deprived and well rested participants. Poster session presented at the annual meeting of the International Neuropsychological Society, Boston, MA.
Talairach, J. & Tournoux, P. (1988). Co-planar Stereotaxic Atlas of the Human Brain. New York: Thieme Medical.
Tapert, S.F., Schweinsburg, A.D., Barlett, V.C., Brown, S.A., Frank, L.R., Brown, G.G., & Meloy, M.J. (2004). Blood oxygen level dependent response and spatial working memory in adolescents with alcohol use disorders. Alcoholism: Clinical and Experimental Research, 28, 15771586.Google Scholar
Ward, B.D. (2002). Deconvolution analysis of FMRI time series data. Milwaukee, WI: Biophysics Research Institute, Medical College of Wisconsin.