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Proceedings Paper

Comparison of hemodynamic response non-linearity using simultaneous near infrared spectroscopy and magnetic resonance imaging modalities
Author(s): Renuka Parlapalli; Vikrant Sharma; Kaundinya S. Gopinath; Richard W. Briggs; Hanli Liu
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Paper Abstract

Blood oxygenation level dependent (BOLD) response, which is measured by functional magnetic resonance imaging (fMRI), is known to be a combination of various vascular parameters, among which deoxy-hemoglobin is argued to be a major contributor. Functional near infrared spectroscopy (fNIRS), though being limited in its spatial resolution, provides a promising tool to study cortical activations, due to its specificity of independent measurement of blood parameters (Oxy, De-oxy and Total Hemoglobin), high temporal resolution and ease of use. To study the close relationship between these imaging modalities, a finger tapping task with stimulus durations (2, 4, 8 & 16 sec) with variable inter-stimulation intervals was chosen to compare spatio-temporal properties and non-linearity of BOLD signal with HbO, HbR and HBT signal. This helped determine what parameter (HbO, HbR and HbT) BOLD signals correlate to most and how factors like neural adaptation that cause non-linearity can affect the hemodynamic behavior. It investigates the non-linearity in HbO, HbR and HbT concentrations as compared to BOLD signal obtained using simultaneous fNIRS and fMRI measurement. Investigating non-linearity in hemodynamic response could provide a better understanding of neuronal function by modeling neural adaptation. The paper also discusses a method to model the neural adaptation and hemodynamic response.

Paper Details

Date Published: 20 February 2009
PDF: 12 pages
Proc. SPIE 7171, Multimodal Biomedical Imaging IV, 71710P (20 February 2009); doi: 10.1117/12.809801
Show Author Affiliations
Renuka Parlapalli, Univ. of Texas, Arlington (United States)
Vikrant Sharma, Univ. of Texas, Arlington (United States)
Kaundinya S. Gopinath, Univ. of Texas, Southwestern Medical Ctr. (United States)
Richard W. Briggs, Univ. of Texas, Southwestern Medical Ctr. (United States)
Hanli Liu, Univ. of Texas, Arlington (United States)


Published in SPIE Proceedings Vol. 7171:
Multimodal Biomedical Imaging IV
Fred S. Azar; Xavier Intes, Editor(s)

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