DocumentCode :
1786048
Title :
Effects of aging on BOLD hemodynamic response: Healthy aging versus Alzheimer disease
Author :
Morsheddost, Hassan ; Asemani, Davud ; Shalchy, Mahsa Alizadeh
Author_Institution :
Fac. of Electr. Eng., K.N. Toosi Univ. of Technol., Tehran, Iran
fYear :
2014
fDate :
20-22 May 2014
Firstpage :
1907
Lastpage :
1911
Abstract :
A “cognitive stress test” can be used to bring out astute brain irregularities that would otherwise stay undetected during a resting state functional Magnetic Resonance Imaging (fMRI). Hemodynamic Response Function (HRF) may be used to distinguish non-demented and demented Alzheimer´s Type (DAT) from young adults. Previous studies have reported opposite findings for Blood-Oxygenation-Level-Dependent (BOLD) HRF of dementia versus young cases. In this paper, it is shown that the reported results contradict due to different algorithms used to extract HRF as well as noise effects. Also, an effective denoising method is here proposed to achieve a proper HRF. Proposed denoising algorithm leads to the compatible HRF results even if different extraction methods are used. Using the denoising process, it is shown that the list of activated voxels dramatically changes. Also, no significant difference is achieved in terms of amplitude HRF peak between non-demented and DAT subjects invoking the proposed denoising process.
Keywords :
biomedical MRI; blood; brain; cognition; diseases; feature extraction; haemodynamics; image denoising; medical image processing; Alzheimer disease; BOLD hemodynamic response; HRF extraction; activated voxels; aging effects; amplitude HRF peak; astute brain irregularities; blood-oxygenation-level-dependent HRF; cognitive stress test; demented Alzheimer type; effective denoising method; fMRI; healthy aging; noise effects; nondemented Alzheimer type; resting state functional magnetic resonance imaging; Aging; Hemodynamics; Magnetic resonance imaging; Noise; Noise reduction; Time series analysis; Visualization; Aging; Alzheimer; Denoising; HRF; fMRI;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Engineering (ICEE), 2014 22nd Iranian Conference on
Conference_Location :
Tehran
Type :
conf
DOI :
10.1109/IranianCEE.2014.6999852
Filename :
6999852
Link To Document :
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