發(fā)布時間：2018-03-04 06:04

  本文選題：語言功能定位　切入點：功能連接　出處：《杭州師范大學》2015年碩士論文　論文類型：學位論文

【摘要】：腫瘤病人運動、語言等重要功能區(qū)的術前定位可降低手術風險,提高病人生活質量。功能磁共振(fMRI)作為一種非侵入型的成像手段,正逐漸應用于腫瘤病人術前功能定位�；诮M塊設計的任務態(tài)fMRI已經(jīng)作為常規(guī)技術,靜息態(tài)fMRI是新興起的技術。本文利用一種新的fMRI實驗范式--基于"狀態(tài)"的fMRI(即慢速事件相關設計,以下稱“新范式”)定位語言功能區(qū),試圖比較新范式及其相應的數(shù)據(jù)分析方法和傳統(tǒng)技術的差別,為更加準確的術前定位提供參考。為此,我們收集了51名健康被試磁共振掃描的數(shù)據(jù)。被試分別進行了組塊設計的任務態(tài)語言fMRI,新范式下的語言fMRI和靜息態(tài)fMRI掃描。對比新范式和靜息態(tài)fMRI的局部功能連接(采用局部一致性指標刻畫,ReHo)分析結果,并對比兩種范式下種子點功能連接(FC)和獨立成分分析(ICA)得到的語言功能網(wǎng)絡的結果,發(fā)現(xiàn)新范式下的語言區(qū)的局部功能連接相比靜息態(tài)結果有明顯上升,證明了新范式下的語言任務參與度更好;我們還發(fā)現(xiàn)新范式fMRI數(shù)據(jù)的FC語言定位的敏感性和特異性比靜息態(tài)更高,而對于數(shù)據(jù)驅動的ICA方法來說二者的定位結果無顯著差異。針對ICA方法,本研究對比了每個被試群組ICA的個體水平重建結果,初步證明了語言區(qū)可以通過靜息態(tài)fMRI結合ICA得以定位,且定位結果和新范式下ICA定位結果,以及語言區(qū)解剖位置高度一致。本研究還對比了基于"狀態(tài)"的fMRI的語言定位結果和傳統(tǒng)任務態(tài)fMRI的語言任務激活結果,發(fā)現(xiàn)基于"狀態(tài)"的范式在語言定位中的總體表現(xiàn)優(yōu)于傳統(tǒng)任務范式。具體來說,靜息態(tài)和新范式下,語言區(qū)的定位結果的特異性高,定位結果基本一致,可以相互驗證;而任務激活結果特異性低,很多非語言特異的腦區(qū)一并激活,為結果的理解帶來了難度。本研究的結果說明在語言功能區(qū)的定位上,兩種基于“狀態(tài)”的研究范式的定位結果是可比的,而且慢速事件相關設計結合FC或ICA分析可以得到較好的定位結果,這可以作為任務態(tài)fMRI語言功能定位的有效補充。本研究的創(chuàng)新性在于,在基于fMRI的術前定位研究中,首次使用了慢速ER設計這種基于狀態(tài)的實驗范式,該范式可控性高,對病人要求不高,FC定位結果優(yōu)于傳統(tǒng)組塊設計fMRI定位結果;新范式下ICA定位結果和靜息態(tài)范式下ICA定位結果可比,有望在將來應用于腫瘤病人的術前功能區(qū)定位。本研究還首次證明了靜息態(tài)范式下利用ICA得到的語言功能網(wǎng)絡在執(zhí)行語言任務時和語言功能相關的腦區(qū)在空間模式上高度一致,這有力的證明了利用靜息態(tài)fMRI和ICA對無法完成語言任務的被試進行語言功能定位的可能性。
[Abstract]:Preoperative localization of major functional areas such as motion and language in cancer patients can reduce the risk of surgery and improve the quality of life of the patients. Functional magnetic resonance imaging (fMRI) is a non-invasive imaging method. Task-based fMRI, based on block design, has been used as a routine technique for preoperative functional localization in cancer patients. Resting fMRI is a new technique. In this paper, we use a new experimental paradigm of fMRI, which is based on "state" fMRI (slow event related design), to locate the language function area. This paper attempts to compare the differences between the new paradigm and its corresponding data analysis methods and traditional techniques in order to provide a reference for more accurate preoperative positioning. We collected data from 51 healthy subjects. The task language fMRI, the language fMRI under the new paradigm, and the resting fMRI scan were performed respectively. The local functional connections between the new paradigm and resting fMRI were compared. Then (using the local consistency index to describe the results of ReHo), By comparing the results of the two kinds of paradigms, the results of the language functional networks obtained by the seed point functional connectivity (FCC) and the independent component analysis (ICA) show that the local functional connections of the language regions under the new paradigm are significantly higher than the rest ones. It is proved that the language task participation is better under the new paradigm, and the sensitivity and specificity of FC language localization of the new paradigm fMRI data is higher than that of resting state. For the data-driven ICA method, there is no significant difference between the two methods. For the ICA method, the results of individual level reconstruction of ICA in each group were compared. It is preliminarily proved that the language region can be located by resting fMRI combined with ICA, and the localization result and the result of ICA localization under the new paradigm are obtained. The results of language localization based on "state" fMRI and the results of language task activation of traditional task-based fMRI were also compared. It is found that the overall performance of the "state-based" paradigm in language localization is superior to that of the traditional task paradigm. Specifically, under the resting state and the new paradigm, the localization results of the language area are highly specific and consistent, which can be verified by each other. However, the results of task activation are not specific, and many non-verbal specific brain regions are activated together, which makes it difficult to understand the results. The localization results of the two research paradigms based on "state" are comparable, and the slow event correlation design can be combined with FC or ICA analysis to obtain better localization results. This can be an effective supplement to the functional localization of task-based fMRI. The innovation of this study is that slow ER is used to design the state-based experimental paradigm for the first time in the pre-operation localization study based on fMRI, which is highly controllable. The result of FC localization is superior to that of traditional block design fMRI localization, and the result of ICA localization under the new paradigm is comparable to that of ICA localization under resting paradigm. It is expected to be applied to the localization of preoperative functional areas in cancer patients in the future. This study has also demonstrated for the first time that the language functional network obtained by using ICA in the resting paradigm is highly consistent with the spatial pattern of the brain regions related to language function when performing language tasks. This proves the possibility of using resting fMRI and ICA to locate the language function of the subjects who can not complete the language tasks.
【學位授予單位】：杭州師范大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：R445.2

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