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題名 利用靜態功能性磁振造影探討大腦活動造成之腦部區域代謝變化
其他題名 Investigating the Coupling between Brain Resting State Activity and Biochemical Response Using Resting State fMRI
作者 蔡尚岳
貢獻者 應用物理研究所
日期 2014
上傳時間 5-Aug-2015 13:50:59 (UTC+8)
摘要 靜止狀態功能性影像可以用來觀察大腦處於休息狀態時不同區域間的腦部活動的連 結,其中大腦預設網路,是被找到的所有網路中最穩定也最常探討的,目前已經廣泛 的應用於探討年齡及性別的大腦發展,以及認知功能障礙疾病的研究。基於對靜態功 能性影像的興趣,已有相當多的研究致力於探討大腦預設網路的基本生理機制,其中 針對大腦預設網路區域中,神經傳導物質對於在靜止狀態腦部活動的調變,就是一個 非常重要的議題。然而要探討大腦預設網路以及大腦生化代謝機制間的關係,目前限 於傳統磁振頻譜影像技術的空間解析度及掃描時間,相當稀少,而我們目前發展的快 速頻譜影像方法,面回訊磁共振造影技術,則可以克服傳統技術的限制,非常適合用 在這個目的上。本計畫旨在系統性的探討大腦於休息狀態時的腦部活動造成的生化代 謝反應,我們將針對大腦預設網路的區域間以及預設網路區域內,探討腦部活動和腦 內主要的神經傳導物質,Glutamate 及 Glutamine,以及大腦神經密度的指標,NAA, 的相關性,我們預期這些大腦的生化反應在腦部預設網路區域和非預設網路區域會不 同,同時也會跟預設網路內的靜態腦部活動的強弱有關係。目前還沒有任何研究區域 性的探討大腦代謝反應以及預設網路腦部活動間的關係,此計畫所得到的結果,將對 於理解大腦預設網路內的腦部活動之相關生理機制非常有幫助。
Resting state functional MRI (rsfMRI) reveals information about the functional connectivity among various areas of brain at rest. One of the most robustly identified and widely investigated RSN is default mode network (DMN), which shows increased activity during rest state than cognitive task. Differences in activity of the DMN have been linked to age and sex difference in brain development and cognitive deficits. Due to the increasing interest on the rsfMRI, there are a lots of researches focused on the biophysiological mechanism of DMN. One particularly key question is that neurotransmitter system, as the main excitatory neurotransmitter in the cortex, is likely to play an essential role in DMN regions. However, the biochemical mechanism of DMN has not been thoroughly studied. The major reason is the limitation of spatial and temporal properties on commercial MRSI technique. On the other hand, PEPSI, as a state-of-art MRSI technique, is very suitable for this purpose. This project is aimed to systemically investigate the resting metabolic levels in the DMN regions and their relationship to the resting state activity in DMN across subjects. Three metabolites, Glutamate, Glutamine and N-acetyl aspartate (NAA) will be main interest because Glu and Gln are important neuron transmitters in the brain. NAA is located primarily in the central and peripheral nervous system and believed to provide a marker of neuronal density and reflect neuronal dysfunction. Therefore, we expect the resting level of these three metabolites may vary in DMN region and non-DMN region of the brain. Further the resting level of these metabolites may predict the resting state activity in DMN regions. Because DMN dominates ongoing neuronal activity in resting state, these are important findings to interpret and understand systemic brain function. To our best knowledge, it is the first time to systemically study regional brain biochemical information in rsfMRI, or more specifically DMN. In addition, the analysis procedures developed here can be used to investigate relation between brain metabolic information and all RSNs. Our finding will be very important in understanding the biochemical mechanism in DMN
關聯 MOST103-2420-H004-003-MY2
PF10301-0148
資料類型 report
dc.contributor 應用物理研究所-
dc.creator (作者) 蔡尚岳zh_TW
dc.date (日期) 2014-
dc.date.accessioned 5-Aug-2015 13:50:59 (UTC+8)-
dc.date.available 5-Aug-2015 13:50:59 (UTC+8)-
dc.date.issued (上傳時間) 5-Aug-2015 13:50:59 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/77404-
dc.description.abstract (摘要) 靜止狀態功能性影像可以用來觀察大腦處於休息狀態時不同區域間的腦部活動的連 結,其中大腦預設網路,是被找到的所有網路中最穩定也最常探討的,目前已經廣泛 的應用於探討年齡及性別的大腦發展,以及認知功能障礙疾病的研究。基於對靜態功 能性影像的興趣,已有相當多的研究致力於探討大腦預設網路的基本生理機制,其中 針對大腦預設網路區域中,神經傳導物質對於在靜止狀態腦部活動的調變,就是一個 非常重要的議題。然而要探討大腦預設網路以及大腦生化代謝機制間的關係,目前限 於傳統磁振頻譜影像技術的空間解析度及掃描時間,相當稀少,而我們目前發展的快 速頻譜影像方法,面回訊磁共振造影技術,則可以克服傳統技術的限制,非常適合用 在這個目的上。本計畫旨在系統性的探討大腦於休息狀態時的腦部活動造成的生化代 謝反應,我們將針對大腦預設網路的區域間以及預設網路區域內,探討腦部活動和腦 內主要的神經傳導物質,Glutamate 及 Glutamine,以及大腦神經密度的指標,NAA, 的相關性,我們預期這些大腦的生化反應在腦部預設網路區域和非預設網路區域會不 同,同時也會跟預設網路內的靜態腦部活動的強弱有關係。目前還沒有任何研究區域 性的探討大腦代謝反應以及預設網路腦部活動間的關係,此計畫所得到的結果,將對 於理解大腦預設網路內的腦部活動之相關生理機制非常有幫助。-
dc.description.abstract (摘要) Resting state functional MRI (rsfMRI) reveals information about the functional connectivity among various areas of brain at rest. One of the most robustly identified and widely investigated RSN is default mode network (DMN), which shows increased activity during rest state than cognitive task. Differences in activity of the DMN have been linked to age and sex difference in brain development and cognitive deficits. Due to the increasing interest on the rsfMRI, there are a lots of researches focused on the biophysiological mechanism of DMN. One particularly key question is that neurotransmitter system, as the main excitatory neurotransmitter in the cortex, is likely to play an essential role in DMN regions. However, the biochemical mechanism of DMN has not been thoroughly studied. The major reason is the limitation of spatial and temporal properties on commercial MRSI technique. On the other hand, PEPSI, as a state-of-art MRSI technique, is very suitable for this purpose. This project is aimed to systemically investigate the resting metabolic levels in the DMN regions and their relationship to the resting state activity in DMN across subjects. Three metabolites, Glutamate, Glutamine and N-acetyl aspartate (NAA) will be main interest because Glu and Gln are important neuron transmitters in the brain. NAA is located primarily in the central and peripheral nervous system and believed to provide a marker of neuronal density and reflect neuronal dysfunction. Therefore, we expect the resting level of these three metabolites may vary in DMN region and non-DMN region of the brain. Further the resting level of these metabolites may predict the resting state activity in DMN regions. Because DMN dominates ongoing neuronal activity in resting state, these are important findings to interpret and understand systemic brain function. To our best knowledge, it is the first time to systemically study regional brain biochemical information in rsfMRI, or more specifically DMN. In addition, the analysis procedures developed here can be used to investigate relation between brain metabolic information and all RSNs. Our finding will be very important in understanding the biochemical mechanism in DMN-
dc.format.extent 136 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) MOST103-2420-H004-003-MY2-
dc.relation (關聯) PF10301-0148-
dc.title (題名) 利用靜態功能性磁振造影探討大腦活動造成之腦部區域代謝變化zh_TW
dc.title.alternative (其他題名) Investigating the Coupling between Brain Resting State Activity and Biochemical Response Using Resting State fMRI-
dc.type (資料類型) reporten