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Simultaneous EEG-fMRI Study of Audiovisual Sensory Processing.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Simultaneous EEG-fMRI Study of Audiovisual Sensory Processing./
Author:	Shams, Nasim.
Description:	1 online resource (188 pages)
Notes:	Source: Dissertation Abstracts International, Volume: 79-04(E), Section: B.
Contained By:	Dissertation Abstracts International79-04B(E).
Subject:	Neurosciences. -
Online resource:	click for full text (PQDT)
ISBN:	9780355456042

Simultaneous EEG-fMRI Study of Audiovisual Sensory Processing.
Shams, Nasim.

Simultaneous EEG-fMRI Study of Audiovisual Sensory Processing. - 1 online resource (188 pages)

Source: Dissertation Abstracts International, Volume: 79-04(E), Section: B.

Thesis (Ph.D.)

Includes bibliographical references

Simultaneous acquisition of Electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) enables studying of brain function with high spatial resolution of fMRI and high temporal resolution of EEG. The complementary characteristics of the two modalities have made simultaneous EEG-fMRI into a rapidly growing neuroimaging technique with a wide range of cognitive and clinical applications. This thesis uses simultaneous EEG-fMRI to investigate the relationship between electrophysiological activity of the brain and the corresponding hemodynamic response during sensory processing of auditory and visual stimuli. Despite major improvements during the short history of EEG-fMRI, several technical and methodological challenges still remain. The main challenge in EEG-fMRI is the compromised EEG data quality. EEG data recorded inside the MR scanner is contaminated by artifacts caused by the MR magnetic fields. This thesis provides a comparative evaluation of the existing EEG artifact removal methods and proposes new analysis approaches to improve the EEG data quality. Another open question in the field of EEG-fMRI is the optimal choice of measures and techniques for data integration. This thesis proposes a new multivariate approach for EEG-fMRI data integration, which enables taking advantage of the full spectrum of the data available in two modalities. The proposed multivariate technique as well as conventional univariate methods are then used to explore the relationship between various aspects of the brain's electrophysiological activity (i.e. the transient evoked activity, oscillatory evoked activity and spontaneous oscillatory activity) and the associated hemodynamic response in auditory and visual cortices.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355456042Subjects--Topical Terms:

593561
Neurosciences.
Index Terms--Genre/Form:

554714
Electronic books.

Simultaneous EEG-fMRI Study of Audiovisual Sensory Processing.
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504 $a Includes bibliographical references
520 $a Simultaneous acquisition of Electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) enables studying of brain function with high spatial resolution of fMRI and high temporal resolution of EEG. The complementary characteristics of the two modalities have made simultaneous EEG-fMRI into a rapidly growing neuroimaging technique with a wide range of cognitive and clinical applications. This thesis uses simultaneous EEG-fMRI to investigate the relationship between electrophysiological activity of the brain and the corresponding hemodynamic response during sensory processing of auditory and visual stimuli. Despite major improvements during the short history of EEG-fMRI, several technical and methodological challenges still remain. The main challenge in EEG-fMRI is the compromised EEG data quality. EEG data recorded inside the MR scanner is contaminated by artifacts caused by the MR magnetic fields. This thesis provides a comparative evaluation of the existing EEG artifact removal methods and proposes new analysis approaches to improve the EEG data quality. Another open question in the field of EEG-fMRI is the optimal choice of measures and techniques for data integration. This thesis proposes a new multivariate approach for EEG-fMRI data integration, which enables taking advantage of the full spectrum of the data available in two modalities. The proposed multivariate technique as well as conventional univariate methods are then used to explore the relationship between various aspects of the brain's electrophysiological activity (i.e. the transient evoked activity, oscillatory evoked activity and spontaneous oscillatory activity) and the associated hemodynamic response in auditory and visual cortices.
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