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Neuroimaging Methods in Behavioral Medicine

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Handbook of Behavioral Medicine

Abstract

The cross-disciplinary integration of neuroimaging methods in behavioral medicine research is now permitting investigators to better explicate the brain systems involved in a number of cognitive, emotional, social, behavioral, and physiological processes important for health and well-being. Accordingly, this chapter provides a basic introduction to human neuroimaging methods, particularly those that are useful for investigating processes of broad interest to behavioral medicine researchers. Contextually, example uses of the methods reviewed in this chapter are illustrated in a companion chapter by Gray and colleagues in this volume.

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References

  • Aguirre, G. K., and D’Esposito, M. (2000). Experimental design for brain fMRI. In C. T. W. Moonen & P. A. Bandettini (Eds.), Functional MRI (pp. 369–380). Heidelberg: Springer-Verlag Berlin.

    Google Scholar 

  • Anderson, P. W., and Rowell, J. M. (1963). Probable observation of the Josephson superconducting tunneling effect. Phys Rev Lett, 10, 230–232.

    Article  CAS  Google Scholar 

  • Argyropoulou, M. I., Xydis, V., Drougia, A., Argyropoulou, P. I., Tzoufi, M. et al (2003). MRI measurements of the pons and cerebellum in children born preterm; associations with the severity of periventricular leukomalacia and perinatal risk factors. Neuroradiology, 45, 730–734.

    Article  PubMed  CAS  Google Scholar 

  • Ashburner, J., and Friston, K. J. (2000). Voxel-based morphometry: the methods. NeuroImage, 11, 805–821.

    Article  PubMed  CAS  Google Scholar 

  • Berger, H. (1929). Ãœber das Elektrenkephalogramm des Menschen. Arch Psychiat Nervenkr, 87, 527–570.

    Article  Google Scholar 

  • Bloch, F. (1946). Nuclear induction. Phys Rev, 70, 460.

    Article  CAS  Google Scholar 

  • Burgel, U., Amunts, K., Hoemke, L., Mohlberg, H., Gilsbach, J. M. et al (2006). White matter fiber tracts of the human brain: three-dimensional mapping at microscopic resolution, topography and intersubject variability. Neuroimage, 29, 1092–1105.

    Article  PubMed  Google Scholar 

  • Buxton, R. B. (2002). Introduction to Functional Magnetic Resonance Imaging: Principles and Techniques. Cambridge, MA: Cambridge University Press.

    Google Scholar 

  • Cabeza, R., and Kingstone, A. (Eds.). (2006). Handbook of Functional Neuroimaging of Cognition, 2nd Ed. Cambridge, MA: MIT Press.

    Google Scholar 

  • Caton, R. (1875). The electric currents of the brain. Br Med J, 2, 278.

    Google Scholar 

  • Critchley, H. D., Corfield, D. R., Chandler, M. P., Mathias, C. J., and Dolan, R. J. (2000). Cerebral correlates of autonomic cardiovascular arousal: a functional neuroimaging investigation in humans. J Physiol, 523, 259–270.

    Article  PubMed  CAS  Google Scholar 

  • Culham, J. C. (2006). Functional neuroimaging: experimental design and analysis. In R. Cabeza & A. Kingstone (Eds.), Handbook of Functional Neuroimaging of Cognition, 2nd Ed. Cambridge, MA: MIT Press.

    Google Scholar 

  • Dedovic, K., D’Aguiar, C., and Pruessner, J. C. (2009). What stress does to your brain: a review of neuroimaging studies. Can J Psychiatry, 54, 6–15.

    PubMed  Google Scholar 

  • Dedovic, K., Renwick, R., Mahani, N. K., Engert, V., Lupien, S. J. et al (2005). The Montreal Imaging Stress Task: using functional imaging to investigate the effects of perceiving and processing psychosocial stress in the human brain. J Psychiatry Neurosci, 30, 319–325.

    PubMed  Google Scholar 

  • Detre, J. A., and Wang, J. (2002). Technical aspects and utility of fMRI using BOLD and ASL. Clin Neurophysiol, 113, 621–634.

    Article  PubMed  Google Scholar 

  • Donaldson, D. L., and Buckner, R. L. (2001). Effective paradigm design. In P. Jezzard, P. M. Matthews, & S. M. Smith (Eds.), Functional MRI: An Introduction to Methods. New York: Oxford University Press.

    Google Scholar 

  • Donders, F. C. (1969). On the speed of mental processes. Acta Psychologica, 30, 412–431.

    Article  PubMed  CAS  Google Scholar 

  • Foust, A. J., and Rector, D. M. (2007). Optically teasing apart neural swelling and depolarization. Neuroscience, 145, 887–899.

    Article  PubMed  CAS  Google Scholar 

  • Frackowiak, R. S. J., Friston, K. J., Frith, C., Dolan, R., Price, C. J. et al (Eds.). (2003). Human Brain Function, 2nd Ed. San Diego, CA: Academic Press.

    Google Scholar 

  • Friston, K. J., Holmes, A. P., Worsley, K. J., Poline, J. P., Frith, C. D. et al (1995). Statistical parametric maps in functional imaging: a general approach. Hum Brain Mapp, 2, 189–210.

    Article  Google Scholar 

  • Genovese, C. R., Lazar, N. A., and Nichols, T. (2002). Thresholding of statistical maps in functional neuroimaging using the false discovery rate. NeuroImage, 15, 870–878.

    Article  PubMed  Google Scholar 

  • Gianaros, P. J., Sheu, L. K., Remo, A. M., Christie, I. C., Crtichley, H. D. et al (2009). Heightened resting neural activity predicts exaggerated stressor-evoked blood pressure reactivity. Hypertension, 53(5):819–825.

    Google Scholar 

  • Gianaros, P. J., Van Der Veen, F. M., and Jennings, J. R. (2004). Regional cerebral blood flow correlates with heart period and high-frequency heart period variability during working-memory tasks: Implications for the cortical and subcortical regulation of cardiac autonomic activity. Psychophysiology, 41, 521–530.

    Article  PubMed  Google Scholar 

  • Gratton, G., and Fabiani, M. (2001a). Shedding light on brain function: the event-related optical signal. Trends Cogn Sci, 5, 357–363.

    Article  PubMed  Google Scholar 

  • Gratton, G., and Fabiani, M. (2001b). The event-related optical signal: a new tool for studying brain function. Int J Psychophysiol, 42, 109–121.

    Article  PubMed  CAS  Google Scholar 

  • Gray, M. A., Minati, L., Harrison, N. A., Gianaros, P. J., Napadow, V. et al (2009). Physiological recordings: basic concepts and implementation in the fMRI scanner. NeuroImage.

    Google Scholar 

  • Gujar, S. K., Maheshwari, S., Bjorkman-Burtscher, I., and Sundgren, P. C. (2005). Magnetic resonance spectroscopy. J Neuroophthalmol, 25, 217–226.

    Article  PubMed  Google Scholar 

  • Hagmann, P., Jonasson, L., Maeder, P., Thiran, J. P., Wedeen, V. J. et al (2006). Understanding diffusion MR imaging techniques: from scalar diffusion-weighted imaging to diffusion tensor imaging and beyond. Radiographics, 26 Suppl 1, S205–223.

    Article  PubMed  Google Scholar 

  • Hill, D. K., and Keynes, R. D. (1949). Opacity changes in stimulated nerve. J Physiol, 108(3), 278–281.

    Google Scholar 

  • Huettel, S. A., Song, A. S., and McCarthy, G. (2004). Functional Magnetic Resonance Imaging. Sunderland, M: Sinauer Associates.

    Google Scholar 

  • Huppert, T. J., Diamond, S. G., Franceschini, M. A., and Boas, D. A. (2009). HomER: a review of time-series analysis methods for near-infrared spectroscopy of the brain. Appl Opt, 48, D280–298.

    Article  PubMed  Google Scholar 

  • Jezzard, P., Matthews, P. M., and Smith, S. M. (Eds.). (2001). Functional MRI: An Introduction to Methods. New York: Oxford University Press.

    Google Scholar 

  • Josephson, B. D. (1962). Possible new effects in superconductive tunneling. Phys Lett, 1, 251.

    Article  Google Scholar 

  • Klunk, W. E., Engler, H., Nordberg, A., Wang, Y., Blomqvist, G. et al (2004). Imaging brain amyloid in Alzheimer’s disease with Pittsburgh Compound-B. Ann Neurol, 55, 306–319.

    Article  PubMed  CAS  Google Scholar 

  • Koh, P. H., Glaser, D. E., Flandin, G., Kiebel, S., Butterworth, B. et al (2007). Functional optical signal analysis: a software tool for near-infrared spectroscopy data processing incorporating statistical parametric mapping. J Biomed Opt, 12, 064010.

    Article  PubMed  Google Scholar 

  • Lane, R. D., Reiman, E. M., Ahern, G. L., and Thayer, J. F. (2001). Activity in the medial prefrontal cortex correlates with vagal component of heart rate variability. Brain Cogn, 47, 97–100.

    Google Scholar 

  • Lane, R. D., Waldstein, S. R., Chesney, M. A., Jennings, J. R., Lovallo, W. R. et al (2009a). The rebirth of neuroscience in psychosomatic medicine, part I: historical context, methods and relevant basic science. Psychosom Med, 71, 117–134.

    Article  PubMed  Google Scholar 

  • Lane, R. D., Waldstein, S. R., Critchley, H. D., Derbyshire, S. W., Drossman, D. A. et al (2009b). The rebirth of neuroscience in psychosomatic medicine, part II: clinical applications and implications for research. Psychosom Med, 71, 135–151.

    Article  PubMed  Google Scholar 

  • Lieberman, M. D., Berkman, E. T., and Wager, T. D. (2009). Correlations in social neuroscience aren’t voodoo: a reply to Vul et al. Persp Psychol Sci, 4, 299–307.

    Google Scholar 

  • Logothetis, N. K. (2002). The neural basis of the blood-oxygen-level-dependent functional magnetic resonance imaging signal. Philos Trans R Soc Lond B Biol Sci, 357, 1003–1037.

    Article  PubMed  Google Scholar 

  • Logothetis, N. K. (2008). What we can do and what we cannot do with fMRI. Nature, 453, 869–878.

    Article  PubMed  CAS  Google Scholar 

  • McKnight, T. R. (2004). Proton magnetic resonance spectroscopic evaluation of brain tumor metabolism. Semin Oncol, 31, 605–617.

    Article  PubMed  CAS  Google Scholar 

  • Nichols, T. E., and Hayasaka, S. (2003). Controlling the familywise error rate in functional neuroimaging: a comparative review. Stat Meth Med Res, 12, 419–446.

    Article  Google Scholar 

  • Ogawa, S., Lee, T. M., Kay, A. R., and Tank, D. W. (1990a). Brain magnetic resonance imaging with contrast dependent on blood oxygenation. Proc Nat Acad Sci USA, 87, 9868–9872.

    Article  PubMed  CAS  Google Scholar 

  • Ogawa, S., Lee, T. M., Nayak, A. S., and Glynn, P. (1990b). Oxygenation sensitive contrast in magnetic resonance imaging of rodent brain at high magnetic fields. Magn Res Med, 14, 68–78.

    Article  CAS  Google Scholar 

  • Okada, E., and Delpy, D. T. (2003a). Near-infrared light propagation in an adult head model. I. Modeling of low-level scattering in the cerebrospinal fluid layer. Appl Opt, 42, 2906–2914.

    Article  PubMed  Google Scholar 

  • Okada, E., and Delpy, D. T. (2003b). Near-infrared light propagation in an adult head model. II. Effect of superficial tissue thickness on the sensitivity of the near-infrared spectroscopy signal. Appl Opt, 42, 2915–2922.

    Article  PubMed  Google Scholar 

  • Phelps, M. E., Hoffman, E. J., Mullani, N. A., and Ter-Pogossian, M. M. (1975). Application of annihilation coincidence detection to transaxial reconstruction tomography. J Nucl Med, 16(3), 210–224.

    PubMed  CAS  Google Scholar 

  • Pruessner, J. C., Dedovic, K., Khalili-Mahani, N., Engert, V., Pruessner, M. et al (2007). Deactivation of the limbic system during acute psychosocial stress: evidence from positron emission tomography and functional magnetic resonance imaging studies. Biol Psychiatry, 63, 234–240.

    Article  PubMed  Google Scholar 

  • Purcell, E. M., Torrey, H. C., and Pound, R. V., (1946). Resonance absorption by nuclear magnetic moments in a solid. Phys Rev, 69, 37.

    Article  CAS  Google Scholar 

  • Raichle, M. E. (2006). Functional neuroimaging: a historical and physiological perspective. In R. Cabeza & A. Kingstone (Eds.), Handbook of Functional Neuroimaging of Cognition, 2nd Ed. (pp. 3–20). Cambridge, MA: MIT Press.

    Google Scholar 

  • Rosen, B. R., Buckner, R. L., and Dale, A. M. (1998). Event-related functional MRI: past, present, and future. Proc Natl Acad Sci U S A, 95, 773–780.

    Article  PubMed  CAS  Google Scholar 

  • Savoy, R. L. (2001). History and future directions of human brain mapping and functional neuroimaging. Acta Psychol, 107, 9–42.

    Article  CAS  Google Scholar 

  • Sokoloff, L., Reivich, M., Kennedy, C., Des Rosiers, M. H., Patlak, C. S. et al (1977). The [14C]deoxyglucose method for the measurement of local cerebral glucose utilization: theory, procedure, and normal values in the conscious and anesthetized albino rat. J Neurochem, 28, 897–916.

    Article  PubMed  CAS  Google Scholar 

  • Stepnoski, R. A., LaPorta, A., Raccuia-Behling, F., Blonder, G. E., Slusher, R. E. et al (1991). Noninvasive detection of changes in membrane potential in cultured neurons by light scattering. Proc Natl Acad Sci U S A, 88, 9382–9386.

    Article  PubMed  CAS  Google Scholar 

  • Toga, A. W., and Mazziotta, J. C. (Eds.). (2002). Brain Mapping: The Methods. San Diego, CA: Academic Press.

    Google Scholar 

  • Villringer, A., and Chance, B. (1997). Non-invasive optical spectroscopy and imaging of human brain function. Trends Neurosci, 20, 435–442.

    Article  PubMed  CAS  Google Scholar 

  • Visscher, K. M., Miezin, F. M., Kelly, J. E., Buckner, R. L., Donaldson, D. I. et al (2003). Mixed blocked/event-related designs separate transient and sustained activity in fMRI. Neuroimage, 19, 1694–1708.

    Article  PubMed  Google Scholar 

  • Vul, E., Harris, C., Winkielman, P., and Pashler, H. (2009). Puzzlingly high correlations in fMRI studies of emotion, personality, and social cognition. Persp Psychol Sci, 4, 274–290.

    Google Scholar 

  • Wang, J. J., Korczykowski, M., Rao, H., Fan, Y., Pluta, J. et al (2007). Gender difference in neural response to psychological stress. Soc Cogn Affect Neurosci, 2, 227–239.

    Article  PubMed  Google Scholar 

  • Wang, J. J., Rao, H., Wetmore, G. S., Furlan, P. M., Korczykowski, M. et al (2005). Perfusion functional MRI reveals cerebral blood flow pattern under psychological stress. Proc Natl Acad Sci U S A, 102, 17804–17809.

    Article  PubMed  CAS  Google Scholar 

  • Weber, M. J., and Monchamp, R. R. (1973). Luminescence of Bi4 Ge3 O12 spectral and decay properties. J Appl Phys, 44, 5495–5499.

    Article  CAS  Google Scholar 

  • Worsley, K. J., Evans, A. C., Marrett, S., and Neelin, P. (1992). A three-dimensional statistical analysis for CBF activation studies in human brain. J Cereb Blood Flow Metab, 12, 900–918.

    Article  PubMed  CAS  Google Scholar 

  • Wrenn, F. R., Jr., Good, M. L., and Handler, P. (1951). The use of positron-emitting radioisotopes for the localization of brain tumors. Science, 113, 525–527.

    Article  PubMed  CAS  Google Scholar 

  • Zackowski, K. M., Smith, S. A., Reich, D. S., Gordon-Lipkin, E., Chodkowski, B. A. et al (2009). Sensorimotor dysfunction in multiple sclerosis and column-specific magnetization transfer-imaging abnormalities in the spinal cord. Brain, 132, 1200–1209.

    Article  PubMed  Google Scholar 

  • Zipursky, R. B., Meyer, J. H., and Verhoeff, N. P. (2007). PET and SPECT imaging in psychiatric disorders. Can J Psychiatry, 52, 146–157.

    PubMed  Google Scholar 

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Acknowledgements

Preparation of this chapter was supported by National Institutes of Health Grants K01-MH070616 and R01-HL089850 (P.J.G.) and by a Programme Grant from the Wellcome Trust (H.D.C).

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Authors and Affiliations

  1. Department of Psychiatry, University of Pittsburgh, Western Psychiatric Institute and Clinic, 3811 O’Hara Street, Pittsburgh, PA, 15213, USA

    Peter J. Gianaros (Assistant Professor of Psychiatry and Psychology) & Ikechukwu Onyewuenyi (Graduate Student)

  2. Clinical Imaging Sciences Center, Brighton Sussex Medical School, University of Sussex, Brighton, East Sussex, BN19RR, UK

    Peter J. Gianaros (Assistant Professor of Psychiatry and Psychology)

  3. Trafford Centre/Clinical Imaging Sciences Centre University of Sussex, Falmer, Brighton, BN1 9PX, UK

    Marcus A. Gray (Lecturer in Psychiatry and Neuroimaging)

  4. Clinical Imaging Sciences Centre, Brighton and Sussex Medical School, University of Sussex, Brighton, Falmer, BN1 9RR, UK

    Hugo D. Critchley (Professor of Psychiatry)

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  1. Peter J. Gianaros
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  2. Marcus A. Gray
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  3. Ikechukwu Onyewuenyi
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  4. Hugo D. Critchley
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Corresponding author

Correspondence to Peter J. Gianaros .

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Editors and Affiliations

  1. St Georges Hospital Medical School, Dept. Psychology, University of London, Cranmer Terrace, London, SW17 0RE, United Kingdom

    A. Steptoe

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Gianaros, P.J., Gray, M.A., Onyewuenyi, I., Critchley, H.D. (2010). Neuroimaging Methods in Behavioral Medicine. In: Steptoe, A. (eds) Handbook of Behavioral Medicine. Springer, New York, NY. https://doi.org/10.1007/978-0-387-09488-5_50

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