Home >> International Journal of Neuroscience, Volume 118, Number 11

Cerebral Lateralization Index Based on Intensity of Bold Signal of FMRI

Authors: Lim, Dae-Woon1; Min, Byung-Chan2; Kim, Hyun-Jun3; Choi, Mi-Hyun4; Lee, Soo-Jeong4; Jun, Jae-Hoon4; Lee, Bongsoo4; Chung, Soon-Cheol4

Source: International Journal of Neuroscience, Volume 118, Number 11, October 2008 , pp. 1628-1642(15)

Publisher: Informa Healthcare

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Abstract:

This study proposes a new cerebral lateralization index (LI) on the basis of neural activation intensity. Eight right-handed male college students (mean age 23.5 years) and 10 right-handed male college students (the mean age 25.1 years) participated in this study of visuospatial and verbal tasks, respectively. Functional brain images were taken from 3T MRI using the single-shot EPI method. A cerebral LI based on neural activation area (i.e., number of activated voxels) and another based on neural activation intensity (i.e., intensity of BOLD (blood oxygen level dependent)) were calculated for both cognition tasks. The result of calculating a cerebral LI based on neural activation area suggested that the right hemisphere is dominant during visuospatial tasks and the left hemisphere is dominant during verbal tasks. When a cerebral LI was computed on the basis of the neural activation intensity, it was shown that the area of cerebral lateralization closely related to visuospatial tasks is the superior parietal lobe, and the area of cerebral lateralization closely related to verbal tasks is the inferior and middle frontal lobe. Since the proposed method can determine the dominance of the cerebrum by each area, it can be helpful to determine cerebral lateralization accurately and easily.

Keywords: BOLD; cerebral lateralization; fMRI; neural activation area; neural activation intensity

Document Type: Research article

DOI: http://dx.doi.org/10.1080/00207450802330777

Affiliations: 1: Department of Information & Communication Engineering, Dongguk University, Seoul, South Korea 2: Department of Industrial & Management Engineering, Hanbat National University, Daejeon, South Korea 3: Department of Obstetrics & Gynecology, Konkuk University, Chungju, South Korea 4: Department of Biomedical Engineering, Research Institute of Biomedical Engineering, College of Biomedical & Health Science, Konkuk University, Chungju, South Korea

Publication date: 2008-10-01

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