Skip to main content Accessibility help

We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.

Close cookie message
×
  1. Home
  2. Search

Refine search

Refine search

Access:
Content type:
Publication date:
Apply   From and To filters
Subject: Show more
Journals Show more
Publishers: Show more
Societies Show more
Series: Show more
Collections: Show more

Actions for selected content:

Select all | Deselect all
  • View selected items
  • Export citations
  • Download PDF (zip)
  • Save to Kindle
  • Save to Dropbox
  • Save to Google Drive

Save Search

You can save your searches here and later view and run them again in "My saved searches".

Please provide a title, maximum of 40 characters.
Cancel
×

1 results

  • Chapter 18 - Economic decision-making and the sleep-deprived brain

  • from Section 3 - Neuroimaging, sleep loss, and circadian misalignment
  • Edited by Eric Nofzinger, University of Pittsburgh, Pierre Maquet, Université de Liège, Belgium, Michael J. Thorpy
  • Book:
    Neuroimaging of Sleep and Sleep Disorders
    Published online:
    05 March 2013
    Print publication:
    07 March 2013, pp 145-153

  • Summary

    Electroencephalogram (EEG) in combination with a fast whole-brain imaging method such as functional magnetic resonance imaging (fMRI) is an ideal tool to study sleep. This chapter covers practical aspects when planning and conducting a simultaneous EEG-fMRI experiment. It describes the choice of hardware to provide patient safety and comfort, while delivering high quality EEG and fMRI data. The chapter examines the choice of post processing methods applied to the electrophysiological data for scanner and subject-induced artifact reduction. Two empirical approaches have been mainly used to integrate fMRI and EEG data; first, using fMRI for the better determination of the source of the measured electrical EEG signal and second, trying to find the common neural origin of both the EEG and fMRI signals in a broader sense. EMG recordings are feasible but await further improved artifact reduction methods dealing with motion in the magnetic field.