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  • Print publication year: 2013
  • Online publication date: March 2013

Chapter 12 - Neuroimaging of phasic and non-phasic NREM activities

from Section 2 - Neuroimaging of wakefulness and sleep

Summary

This chapter reviews three of the most important and topical advanced magnetic resonance imaging (MRI) techniques. Functional MRI (fMRI) permits dynamic evaluation of neural activity in specific brain regions. To understand normal and pathological brain function, one must understand the structural arrangement of white matter tracts, and how this arrangement varies between individuals. This goal can be approached in living subjects with diffusion tensor imaging (DTI), a variant of diffusion-weighted imaging (DWI), which permits the non-invasive evaluation of regional white matter structure. Standard anatomical MRI depicts the structural features of the brain, while fMRI demonstrates regional brain activity. Magnetic resonance spectroscopy (MRS), in contrast, allows non-invasive examination of the chemical composition of the brain. The advanced neuroimaging techniques described in this chapter allow non-invasive evaluation of the intact brain at biochemical, network, and functional levels.

References

1. MaquetP.Functional neuroimaging of normal human sleep by positron emission tomography. J Sleep Res. 2000;9(3):207–31.
2. Dang VuTT, DesseillesM, PeigneuxP, LaureysS, MaquetP.Sleep and sleep states: PET activation patterns. In: SquireLR, ed. Encyclopedia of Neuroscience. Oxford, Academic Press. 2009;955–61.
3. KaufmannC, WehrleR, WetterTC, et al. Brain activation and hypothalamic functional connectivity during human non-rapid eye movement sleep: an EEG/fMRI study. Brain. 2006;129(Pt 3):655–67.
4. SteriadeM, McCarleyRW. Brain Control of Wakefulness and Sleep. New York, Springer, 2005.
5. CoteKA, EppsTM, CampbellKB. The role of the spindle in human information processing of high-intensity stimuli during sleep. J Sleep Res. 2000;9(1):19–26.
6. EltonM, WinterO, HeslenfeldD, et.al. Event-related potentials to tones in the absence and presence of sleep spindles. J Sleep Res. 1997;6(2):78–83.
7. MassiminiM, RosanovaM, MariottiM.EEG slow (approximately 1 Hz) waves are associated with nonstationarity of thalamo-cortical sensory processing in the sleeping human. J Neurophysiol. 2003;89(3):1205–13.
8. MarshallL, HelgadottirH, MolleM, BornJ.Boosting slow oscillations during sleep potentiates memory. Nature. 2006;444(7119):610–13.
9. SchabusM, GruberG, ParapaticsS, et al. Sleep spindles and their significance for declarative memory consolidation. Sleep. 2004;27(8):1479–85.
10. AnderssonJL, OnoeH, HettaJ, et al. Brain networks affected by synchronized sleep visualized by positron emission tomography. J Cereb Blood Flow Metab. 1998;18(7):701–15.
11. BraunAR, BalkinTJ, WesentenNJ, et al. Regional cerebral blood flow throughout the sleep-wake cycle. An H2(15)O PET study. Brain. 1997;120 (Pt 7):1173–97.
12. KajimuraN, UchiyamaM, TakayamaY, et al. Activity of midbrain reticular formation and neocortex during the progression of human non-rapid eye movement sleep. J Neurosci. 1999;19(22):10065–73.
13. MaquetP, DegueldreC, DelfioreG, et al. Functional neuroanatomy of human slow wave sleep. J Neurosci. 1997;17(8):2807–12.
14. MaquetP, DiveD, SalmonE, et al. Cerebral glucose utilization during sleep-wake cycle in man determined by positron emission tomography and [18]2-fluoro-2-deoxy-D-glucose method. Brain Res. 1990;513(1):136–43.
15. NofzingerEA, BuysseDJ, MiewaldJM, et al. Human regional cerebral glucose metabolism during non-rapid eye movement sleep in relation to waking. Brain. 2002;125(Pt 5):1105–15.
16. CzischM, WehrleR, KaufmannC, et al. Functional MRI during sleep: BOLD signal decreases and their electrophysiological correlates. Euro J Neurosci. 2004;20(2):566–74.
17. MassiminiM, HuberR, FerrarelliF, HillS, TononiG.The sleep slow oscillation as a traveling wave. J Neurosci. 2004;24(31):6862–70.
18. IberC, Ancoli-IsraelS, ChessonAL, QuanSF. The AASM Manual for the Scoring of Sleep and Associated Events. Westchester, American Academy of Sleep Medicine, 2007.
19. BonjeanM, BakerT, LemieuxM, et al. Corticothalamic feedback controls sleep spindle duration in vivo. J Neurosci. 2011;31(25):9124–34.
20. SteriadeM, NunezA, AmzicaF.A novel slow (< 1 Hz) oscillation of neocortical neurons in vivo: depolarizing and hyperpolarizing components. J Neurosci. 1993;13(8):3252–65.
21. SteriadeM.Impact of network activities on neuronal properties in corticothalamic systems. J Neurophysiol. 2001;86(1):1–39.
22. AchermannP, BorbelyAA. Low-frequency (< 1 Hz) oscillations in the human sleep electroencephalogram. Neuroscience. 1997;81(1):213–22.
23. TimofeevI, SteriadeM.Low-frequency rhythms in the thalamus of intact-cortex and decorticated cats. J Neurophysiol. 1996;76(6):4152–68.
24. SteriadeM, NunezA, AmzicaF.Intracellular analysis of relations between the slow (< 1 Hz) neocortical oscillation and other sleep rhythms of the electroencephalogram. J Neurosci. 1993;13(8):3266–83.
25. BlethynKL, HughesSW, TothTI, CopeDW, CrunelliV.Neuronal basis of the slow (< 1 Hz) oscillation in neurons of the nucleus reticularis thalami in vitro. J Neurosci. 2006;26(9):2474–86.
26. ContrerasD, SteriadeM.Cellular basis of EEG slow rhythms: a study of dynamic corticothalamic relationships. J Neurosci. 1995;15(1 Pt 2):604–22.
27. SteriadeM, ContrerasD, Curro DossiR, NunezA.The slow (< 1 Hz) oscillation in reticular thalamic and thalamocortical neurons: scenario of sleep rhythm generation in interacting thalamic and neocortical networks. J Neurosci. 1993;13(8):3284–99.
28. SteriadeM, TimofeevI.Neuronal plasticity in thalamocortical networks during sleep and waking oscillations. Neuron. 2003;37(4):563–76.
29. De GennaroL, FerraraM.Sleep spindles: an overview. Sleep Med Rev. 2003;7(5):423–40.
30. MurphyM, RiednerBA, HuberR, et al. Source modeling sleep slow waves. Proc Natl Acad Sci U S A. 2009;106(5):1608–13.
31. HofleN, PausT, ReutensD, et al. Regional cerebral blood flow changes as a function of delta and spindle activity during slow wave sleep in humans. J Neurosci. 1997;17(12):4800–8.
32. GaisS, MolleM, HelmsK, BornJ.Learning-dependent increases in sleep spindle density. J Neurosci. 2002;22(15):6830–4.
33. SchabusM, Dang-VuTT, AlbouyG, et al. Hemodynamic cerebral correlates of sleep spindles during human non-rapid eye movement sleep. Proc Natl Acad Sci U S A. 2007;104(32):13164–9.
34. MolleM, MarshallL, GaisS, BornJ.Grouping of spindle activity during slow oscillations in human non-rapid eye movement sleep. J Neurosci. 2002;22(24):10941–7.
35. AndradeKC, Spoormaker VI, DreslerM, et al. Sleep spindles and hippocampal functional connectivity in human NREM sleep. J Neurosci. 2011;31(28):10331–9.
36. BergmannTO, MolleM, DiedrichsJ, BornJ, SiebnerHR. Sleep spindle-related reactivation of category-specific cortical regions after learning face-scene associations. Neuroimage. 2012;59(3):2733–42.
37. Dang-VuTT, DesseillesM, LaureysS, et al. Cerebral correlates of delta waves during non-REM sleep revisited. Neuroimage. 2005;28(1):14–21.
38. Dang-VuTT, SchabusM, DesseillesM, et al. Spontaneous neural activity during human slow wave sleep. Proc Natl Acad Sci U S A. 2008;105(39):15160–5.
39. EschenkoO, MagriC, PanzeriS, SaraSJ. Noradrenergic neurons of the locus coeruleus are phase locked to cortical up-down states during sleep. Cereb Cortex. 2012;22(2):426–35.
40. PortasCM, KrakowK, AllenP, et al. Auditory processing across the sleep-wake cycle: simultaneous EEG and fMRI monitoring in humans. Neuron. 2000;28(3):991–9.
41. CzischM, WetterTC, KaufmannC, et al. Altered processing of acoustic stimuli during sleep: reduced auditory activation and visual deactivation detected by a combined fMRI/EEG study. Neuroimage. 2002;16(1):251–8.
42. CzischM, WehrleR, StieglerA, et al. Acoustic oddball during NREM sleep: a combined EEG/fMRI study. PLoS One. 2009;4(8):e6749.
43. BornAP, LawI, LundTE, et al. Cortical deactivation induced by visual stimulation in human slow-wave sleep. Neuroimage. 2002;17(3):1325–35.
44. ArieliA, SterkinA, GrinvaldA, AertsenA.Dynamics of ongoing activity: explanation of the large variability in evoked cortical responses. Science. 1996;273(5283):1868–71.
45. BolyM, BalteauE, SchnakersC, et al. Baseline brain activity fluctuations predict somatosensory perception in humans. Proc Natl Acad Sci U S A. 2007;104(29):12187–92.
46. Dang-VuTT, BonjeanM, SchabusM, et al. Interplay between spontaneous and induced brain activity during human non-rapid eye movement sleep. Proc Natl Acad Sci U S A. 2011;108(37):15438–43.
47. Dang-VuTT, McKinneySM, BuxtonOM, SoletJM, EllenbogenJM. Spontaneous brain rhythms predict sleep stability in the face of noise. Curr Biol 2010;20(15):R626–7.
48. ColrainIM. The K-complex: a 7-decade history. Sleep. 2005;28(2):255–73.