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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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This paper presents a new approach to investigate spatial correlation between independent components of brain alpha activity in functional magnetic resonance imaging (fMRI) and electroencephalography (EEG). To avoid potential problems of simultaneous fMRI and EEG acquisitions in imaging pure alpha activity, data from each modality were acquired separately under a three conditions setup where one of the conditions involved closing eyes and relaxing, thus making it conducive to generation of alpha activity. The other two conditions -- eyes open in a lighted room or engaged in a mental arithmetic task, were designed to attenuate alpha activity. Using a Mixture Density Independent Component Analysis (MD-ICA) that incorporates flexible non-linearity functions into the conventional ICA framework, we could identify the spatiotemporal components of fMRI activations and EEG activities associated with the alpha rhythm. Then, the sources of the individual EEG alpha activity component were localized by a Maximum Entropy (ME) method that is specially designed to find the most probable dipole distribution minimizing the localization error in sense of LMSE. The resulting active dipoles were spatially transformed to 3D MRIs of the subject and compared to fMRI alpha activity maps. A good spatial correlation was found in the spatial distribution of alpha sources derived independently from fMRI and EEG, suggesting the proposed method can localize the cortical areas responsible for generating alpha activity successfully in either fMRI or EEG. Finally a functional connectivity analysis was applied to show that alpha activity sources of both modalities were also functionally connected to each other, implying that they are involved in performing a common function: the generation of alpha rhythms.
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참고문헌 (11)
참고문헌 신청
/ 1993. / Processing strategies for time-course data sets in functional MRI of the human brain 30 : 161 ~ 173
/ 1995. / Functional connectivity in the motor cortex of resting human brain using echo-planar MRI 34 : 537 ~ 541
/ 1995. / Three dimensional EEG source imaging via maximum entropy method : 151 ~ 1519
/ 1996. / Statistical parametric maps in functional imaging: A general linear approach 2 : 189 ~ 210
/ 1998. / FMRI of Brain Activity during Alpha Rhythm : 1493 ~
/ 1995. / Functional connectivity in the motor cortex of resting human brain using echo-planar MRI 34 : 537 ~ 541
/ 1995. / Three dimensional EEG source imaging via maximum entropy method : 151 ~ 1519
/ 1996. / Statistical parametric maps in functional imaging: A general linear approach 2 : 189 ~ 210
/ 1998. / FMRI of Brain Activity during Alpha Rhythm : 1493 ~
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