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Neuromagnetic correlates offMRI sign...

Nangini, Catherine.

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Neuromagnetic correlates offMRI signals in human primary somatosensory cortex.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Neuromagnetic correlates offMRI signals in human primary somatosensory cortex./
Author:	Nangini, Catherine.
Description:	138 p.
Notes:	Source: Dissertation Abstracts International, Volume: 68-06, Section: B, page: 3629.
Contained By:	Dissertation Abstracts International68-06B.
Subject:	Biophysics, Medical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=NR28015
ISBN:	9780494280157

Neuromagnetic correlates offMRI signals in human primary somatosensory cortex.
Nangini, Catherine.

Neuromagnetic correlates offMRI signals in human primary somatosensory cortex. - 138 p.

Source: Dissertation Abstracts International, Volume: 68-06, Section: B, page: 3629.

Thesis (Ph.D.)--University of Toronto (Canada), 2007.

The emergence of new imaging technology towards the end of the last century has allowed unprecedented noninvasive access to the brain, revolutionizing the field of neuroscience and motivating applications in clinical care. Functional magnetic resonance imaging (fMRI), now used in hundreds of centres worldwide, is leading the way. The sensitivity of fMRI allows it to probe the entire brain volume for hemodynamic changes that occur as an indirect result of neural activity. The mechanisms by which neural activity induces a hemodynamic response and shapes fMRI signals are actively researched areas essential for understanding the neurophysiological basis of fMRI and for using the method with understanding.

ISBN: 9780494280157Subjects--Topical Terms:

1017681
Biophysics, Medical.

Neuromagnetic correlates offMRI signals in human primary somatosensory cortex.
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100 1 $a Nangini, Catherine. $3 1272036
245 1 0 $a Neuromagnetic correlates offMRI signals in human primary somatosensory cortex.
300 $a 138 p.
500 $a Source: Dissertation Abstracts International, Volume: 68-06, Section: B, page: 3629.
502 $a Thesis (Ph.D.)--University of Toronto (Canada), 2007.
520 $a The emergence of new imaging technology towards the end of the last century has allowed unprecedented noninvasive access to the brain, revolutionizing the field of neuroscience and motivating applications in clinical care. Functional magnetic resonance imaging (fMRI), now used in hundreds of centres worldwide, is leading the way. The sensitivity of fMRI allows it to probe the entire brain volume for hemodynamic changes that occur as an indirect result of neural activity. The mechanisms by which neural activity induces a hemodynamic response and shapes fMRI signals are actively researched areas essential for understanding the neurophysiological basis of fMRI and for using the method with understanding.
520 $a Techniques that more directly measure neural activity can contribute substantially to such investigations. Electroencephalography (EEG) resolves electrical neural activity on the millisecond time-scale, and its relatively new magnetic counterpart, magnetoencephalography (MEG), provides equally fine temporal resolution with improved spatial localization. Brain regions near the cortical surface are excellent candidates for investigation with both MEG and EEG. Results from such investigations can then be compared with their fMRI counterparts.
520 $a This thesis focuses on human primary somatosensory cortex (SI), a brain region that receives incoming touch stimuli, with the aim of understanding SI fMRI signals in terms of the underlying MEG activity in response to vibrotactile stimulation. A preliminary fMRI experiment is performed using a range of stimulus durations (2--20 s) and SI fMRI data are mathematically modelled based on postulated neural activity functions. Next, MEG is used to characterize the temporal features of the neuromagnetic activity to experimentally support the postulates of the previous fMRI study. Lastly, an fMRI experiment is designed using the same stimulus delivery over short stimulus durations (≤ 1 s). The mathematical modelling is extended to include experimentally-derived MEG waveforms, improving on the standard approach that relies on the envelope of the stimulus waveform to predict fMRI signals. The implications of this work for future MEG/fMRI investigations, and open questions about vibrotactile information processing in SI are discussed.
590 $a School code: 0779.
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