基于電生理的腦網(wǎng)絡(luò)研究報(bào)告

堯德中 夏陽

摘 要：電生理信息（EEG、局部場電位、神經(jīng)元單位放電）和血液與代謝信號（fMRI）提供了神經(jīng)活動(dòng)的明顯不同、但又相互緊密耦合的不同方面的信息。腦電/電生理對發(fā)生在毫秒量級的瞬態(tài)神經(jīng)活動(dòng)敏感，可以動(dòng)態(tài)地揭示腦功能活動(dòng)的動(dòng)態(tài)連接性。由于EEG和fMRI信號的產(chǎn)生機(jī)理不同，決定了EEG/fMRI兩種技術(shù)在時(shí)-空兩方面具有互補(bǔ)性。通過信息融合將兩種技術(shù)的優(yōu)點(diǎn)進(jìn)行集成是一個(gè)受到高度關(guān)注的研究策略。該研究重點(diǎn)關(guān)注電生理的腦網(wǎng)絡(luò)分析方法，同時(shí)考慮電生理與fMRI信息的融合問題，并將發(fā)展的新技術(shù)方法用于臨床神經(jīng)精神疾病的腦機(jī)制研究。成功建立了精神分裂癥獼猴模型，為該研究應(yīng)用發(fā)展的數(shù)據(jù)處理方法在疾病模型上的驗(yàn)證研究奠定了基礎(chǔ)；在多模態(tài)信息融合方面，提出了借助經(jīng)驗(yàn)Bayes理論，實(shí)現(xiàn)EEG-fMRI信息并集的網(wǎng)絡(luò)融合方法；基于顱內(nèi)電生理技術(shù)，發(fā)現(xiàn)了產(chǎn)生SSVEP信號的網(wǎng)絡(luò)機(jī)制。

關(guān)鍵詞：腦網(wǎng)絡(luò) 腦電 磁共振 信息融合

Abstract：To research of brain function， electrophysiological （including EEG， local field potentials， spikes） and BOLD （fMRI） information may provide the different aspects of closely coupled neural activity. EEG （or electrophysiological） activity occurs in milliseconds and can reveal brain dynamic activities. Due to the different generation mechanism of EEG and fMRI signal， the analysis technologies of EEG and fMRI are complementary in the space-time Scale. Our main works are to develop the analysis methods of brain network based on electrophysiological signal and to develop the analysis methods of electrophysiology and fMRI information fusion. Meanwhile， we pay close attention to mechanism study of clinical neuropsychiatric diseases using above developed methods. So far， we have successfully established schizophrenia rhesus monkey model. We have developed the multimodal information fusion techniques based on Bayes theory. Based on intracranial EEG recording， we found the brain network mechanism of SSVEP generating.

Key Words：Brain network；EEG；MRI；Information fusion

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