原發(fā)性閉角型青光眼患者丘腦—皮質(zhì)通路功能連接及腦網(wǎng)絡拓撲屬性的靜息態(tài)fMRI研究
發(fā)布時間：2018-10-29 18:08
【摘要】：目的:采用基于種子點的功能連接(functional connectivity,FC)和以圖論(graph theory)方法,分析原發(fā)性閉角型青光眼(primary angle-closure glaucoma,PACG)患者靜息態(tài)下丘腦-皮層通路功能連接及腦網(wǎng)絡拓撲屬性的改變,以期提高對PACG患者可能的神經(jīng)機理的認識,為臨床早期診斷和治療提供幫助。方法:招募33例PACG患者(PACG組)與33例年齡、性別相匹配的健康對照者(healthy controls,HC組),所有PACG患者均行相應的眼科檢查,包括視網(wǎng)膜神經(jīng)纖維層(retinal nerve fiber layer,RNFL)厚度、眼內(nèi)壓(intraocular pressure,IOP)、靜脈杯盤比(cup to disc ratio,CDR)及視力(visual activity,VA)。所有受試者均行SIEMENS Trio Tim 3.0T MR掃描儀掃描,得到靜息態(tài)功能磁共振圖像(resting-state functional MRI,RS-fMRI)。數(shù)據(jù)處理主要分為:(1)采集靜息態(tài)數(shù)據(jù);(2)使用DPARSFA軟件包進行數(shù)據(jù)預處理;(3)選取雙側(cè)丘腦的各7個亞區(qū)作為感興趣區(qū)(region of interest,ROI),并以此為種子點與全腦各體素進行功能連接分析,并進行組間兩獨立樣本t檢驗(AlphaSim矯正,P0.01);(4)應用Gretna腦網(wǎng)絡分析軟件包,選擇116個自動解剖標定(automated anatomical labeling,AAL)模板腦區(qū)為節(jié)點,計算功能連接后獲得矩陣,構(gòu)建二值化腦網(wǎng)絡,獲取腦網(wǎng)絡整體及局部屬性,并在局部屬性上行組間雙樣本t檢驗(錯誤發(fā)現(xiàn)率矯正(false discovery rate,FDR),P0.05);(5)分析差異腦區(qū)的相關(guān)系數(shù)值及網(wǎng)絡屬性值,使用SPSS v.17.0軟件,對其與臨床參數(shù)RNFLT,靜脈CDR,IOP及VA進行Pearson相關(guān)性分析。結(jié)果:(1)與HC組比較,PACG組丘腦與視覺傳導通路(頂葉/楔前葉、額葉/額下回)及非視覺傳導通路(中央旁小葉、中央后回、邊緣葉/海馬旁回)功能連接減低,丘腦與視覺傳導通路(枕葉、頂葉/頂下小葉、顳葉/顳下回)以及非視覺傳導通路(小腦前葉/山頂)功能連接增加(P0.01,AlphaSim校正,簇≥29體素)。(2)在網(wǎng)絡稀疏度(0.1~0.6)下,PACG及HC組腦網(wǎng)絡標準化聚類系數(shù)(γ)㧐1,標準化最短路徑長度(λ)≈1,且其小世界指數(shù)(σ)㧐1,兩組均具有“小世界”屬性。(3)在最小及最大網(wǎng)絡稀疏度(0.32~0.42)下,與HC組比較,PACG組標準化聚類系數(shù)(γ)輕度減低(P:0.283~0.453),標準化最短路徑長度(λ)無變化(P:0.463~0.993),導致小世界指數(shù)(σ)輕度減低(P:0.322~0.548),但上述差異均無統(tǒng)計學意義(FDR矯正,P0.05)。PACG組全腦(E_(global))及局部(E_(local))效應亦無明顯變化(FDR矯正,P0.05)。(4)在最小網(wǎng)絡稀疏度(0.32)下,與HC組比較,PACG患者組初高級視覺皮層(雙側(cè)距狀裂周圍皮層、左側(cè)枕上回、右側(cè)枕下回、雙側(cè)楔葉)標準化節(jié)點度顯著降低,背側(cè)視覺通路(右側(cè)丘腦、雙側(cè)顳中回)及非視覺通路(雙側(cè)補充運動區(qū)、右側(cè)海馬旁回、右側(cè)中央旁小葉、右側(cè)島蓋部額下回)標準化節(jié)點度顯著增高(FDR矯正,P0.05);背側(cè)視覺通路(左側(cè)枕上/下回、雙側(cè)楔葉、左側(cè)舌回)及非視覺通路(左背外側(cè)額上回、左側(cè)眶部額上/中回、左側(cè)海馬、左側(cè)豆狀殼核、左側(cè)小腦半球、小腦蚓部)標準化節(jié)點介數(shù)減少,背腹側(cè)視覺通路(右側(cè)顳中回、左側(cè)顳下回)及非視覺通路(右側(cè)海馬旁回、右側(cè)中央旁小葉、雙側(cè)島蓋部額下回、雙側(cè)緣上回)標準化節(jié)點介數(shù)顯著增加(FDR矯正,P0.05)。(5)在最小網(wǎng)絡稀疏度(0.32)下,PACG組左側(cè)眶部額中回標準化節(jié)點介數(shù)與靜脈CDR呈正相關(guān)(r=0.406,P=0.019)。PACG組左側(cè)緣上回標準化節(jié)點介數(shù)與VA呈正相關(guān)(r=0.357,P=0.041);右側(cè)緣上回標準化節(jié)點介數(shù)與VA呈明顯正相關(guān)(r=0.558,P=0.001);左側(cè)豆狀核標準化節(jié)點介數(shù)與VA呈正相關(guān)(r=0.355,P=0.043)。PACG組右側(cè)楔葉標準化節(jié)點度與VA呈負相關(guān)(r=-0.371,P=0.034)。PACG組其余腦區(qū)的標準化節(jié)點介數(shù)及標準化節(jié)點度值與RNFLT,靜脈CDR、IOP及VA均未見明顯相關(guān)。PACG患者靜息態(tài)丘腦-皮層差異腦區(qū)均未發(fā)現(xiàn)與臨床參數(shù)存在顯著相關(guān)性。結(jié)論:(1)PACG組存在包括丘腦視覺傳導通路及非視覺傳導通路(感覺運動及情感記憶)的連接異常,且其可影響患者視覺相關(guān)的認知功能;(2)PACG組腦網(wǎng)絡存在穩(wěn)定且高效的“小世界”屬性,且其整體構(gòu)建具有均質(zhì)化趨勢;(3)PACG組視覺及非視覺(軀體運動)腦區(qū)的局部屬性存在改變,且涉及到默認網(wǎng)絡(default mode network,DMN),推測DMN可能是造成PACG患者內(nèi)在心理活動異常的機制之一;(4)PACG組視覺腦區(qū)與VA相關(guān),非視覺腦區(qū)分別與靜脈CDR及VA相關(guān)。
[Abstract]:Objective: To study the functional connection of hypothalamic-cortical pathway in patients with primary closed-angle glaucoma (PACG) and the changes of brain network topology in patients with primary closed-angle glaucoma (PACG) by using functional connectivity (FC) and graph theory. With a view to raising awareness of possible neural mechanisms in PACG patients, help is provided for early diagnosis and treatment of PACG. Methods: 33 patients with PACG (PACG group) and 33 healthy controls (HC) matched with age and sex were recruited. All PACG patients underwent corresponding ophthalmic examinations, including retinal nerve fiber layer (RNFL) thickness, intraocular pressure (IOP), Venous cup ratio (CDR) and visual activity (VA). All subjects were scanned by SIEMENS Trio Tim 3.0T MR scanner to obtain a resting-state functional magnetic resonance image (RS-fMRI). Data processing is mainly divided into: (1) collecting rest state data; (2) carrying out data pretreatment using DPARIMA software package; (3) selecting 7 sub-regions of the double-side thalamus as a region of interest and ROI), and performing functional connection analysis on the seed points and the whole brain voxels; Two independent sample t test (AlphaSim correction, P0. 01) was carried out; (4) Gretna brain network analysis software package was applied, 116 automatic anatomical labeling (AAL) template brain regions were selected as nodes, the matrix was obtained after functional connection, and two-valued brain networks were constructed. The whole and local properties of the brain network were obtained, and the two-sample t-test (false display rate, FDR) and P0.05) were detected in the local attribute ascending group; (5) the correlation coefficient value and the network attribute value of the difference brain region were analyzed, and the correlation coefficient value and the network attribute value of the difference brain region were analyzed, and compared with the clinical parameter RNFLT and the vein CDR using SPSS v. 174.0 software. Pearson correlation analysis was performed between IOP and VA. Results: (1) Compared with HC group, the functional connection between thalamus and vision conduction pathway in PACG group (parietal lobe/ anterior lobe, frontal lobe/ frontal lobe) and non-visual conduction pathway (central paralobular, central posterior, marginal leaf/ hippocampus) was reduced, thalamus and visual conduction pathway (occipital lobe, (P <0.01, AlphaSim correction, cluster 72.29 voxel). (2) In the network sparsity (0. 1 ~ 0. 6), the standard convergence coefficient of the PACG and HC groups was standardized. 1. Standardization of the shortest path length (IRR) to be 1, and its small world index (INR)? 1. Both groups have "Little World" Properties. (3) Under the minimum and maximum network sparsity (0. 32 ~ 0. 42), the standard poly-coefficient (INR) of PACG group was slightly decreased compared with HC group (P: 0. 283 ~ 0. 453), and the standard shortest path length (LAI) was not changed (P: 0. 463 ~ 0. 93), which resulted in a slight decrease in the index of small world (P: 0. 322 ~ 0. 548). None of these differences were statistically significant (FDR correction, P0.05). In PACG group, the effects of total brain (E _ ()) and local (E _ (local)) did not change significantly (FDR correction, P0.05). (4) Under the minimum network sparsity (0. 32), compared with HC group, the normalized node degree of the early advanced visual cortex of PACG group (the peripheral cortex of the double-side margin, the back of the left occipital nerve, the back of the right occipital and the double-side wedge) was significantly decreased, and the posterior side vision pathway (right thalamus, The normalized node degrees were significantly increased (FDR correction, P0.05); back-side vision pathway (left occipital/ inferior), double-side wedge leaf, The number of normalized nodes in the left-hand tongue and the non-visual pathway (on the left-back lateral frontal, left-left orbital, left-hand, left-hand, left-hand, left-hand, cerebellar hemisphere, cerebellar vermis) was reduced, and the dorsal-ventral visual pathway (right-hand side), There was a significant increase in the number of normalized nodes (FDR correction, P0.05). (5) Under the minimum network sparsity (0. 32), the number of normalized nodes in the left orbital fraction of the PACG group was positively correlated with the venous CDR (r = 0.406, P = 0.019). The number of normalized nodes on the left margin of PACG group was positively correlated with VA (r = 0.357, P = 0.043); the number of normalized nodes on the right margin was positively correlated with VA (r = 0.0558, P = 0.0001); the number of normalized nodes on the left side was positively correlated with VA (r = 0.355, P = 0.043). There was a negative correlation between the normalized node degree and VA (r =-0.371, P = 0.037). The number of normalized nodes and normalized node degree values of the rest of the brain regions in the PACG group were not significantly correlated with RNFLT, venous CDR, IOP and VA. There was no significant correlation with clinical parameters in the resting thalamus-cortex difference brain regions of PACG patients. Conclusion: (1) The PACG group has an abnormal connection including the visual conduction pathway of thalamus and the non-visual conduction pathway (sensory and emotional memory), and it can influence the cognitive function of the patient's vision; (2) The PACG group has stable and high efficiency. "Little World" (3) The local attributes of PACG group visual and non-visual (somatic movement) brain regions are changed, and involve the default network (DMN). It is estimated that DMN may be one of the mechanisms that cause abnormal mental activity in PACG patients. (4) The visual brain regions of PACG group were associated with VA, and the non-visual brain regions were associated with venous CDR and VA, respectively.
【學位授予單位】：南昌大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：R445.2;R775
本文編號：2298408
[Abstract]:Objective: To study the functional connection of hypothalamic-cortical pathway in patients with primary closed-angle glaucoma (PACG) and the changes of brain network topology in patients with primary closed-angle glaucoma (PACG) by using functional connectivity (FC) and graph theory. With a view to raising awareness of possible neural mechanisms in PACG patients, help is provided for early diagnosis and treatment of PACG. Methods: 33 patients with PACG (PACG group) and 33 healthy controls (HC) matched with age and sex were recruited. All PACG patients underwent corresponding ophthalmic examinations, including retinal nerve fiber layer (RNFL) thickness, intraocular pressure (IOP), Venous cup ratio (CDR) and visual activity (VA). All subjects were scanned by SIEMENS Trio Tim 3.0T MR scanner to obtain a resting-state functional magnetic resonance image (RS-fMRI). Data processing is mainly divided into: (1) collecting rest state data; (2) carrying out data pretreatment using DPARIMA software package; (3) selecting 7 sub-regions of the double-side thalamus as a region of interest and ROI), and performing functional connection analysis on the seed points and the whole brain voxels; Two independent sample t test (AlphaSim correction, P0. 01) was carried out; (4) Gretna brain network analysis software package was applied, 116 automatic anatomical labeling (AAL) template brain regions were selected as nodes, the matrix was obtained after functional connection, and two-valued brain networks were constructed. The whole and local properties of the brain network were obtained, and the two-sample t-test (false display rate, FDR) and P0.05) were detected in the local attribute ascending group; (5) the correlation coefficient value and the network attribute value of the difference brain region were analyzed, and the correlation coefficient value and the network attribute value of the difference brain region were analyzed, and compared with the clinical parameter RNFLT and the vein CDR using SPSS v. 174.0 software. Pearson correlation analysis was performed between IOP and VA. Results: (1) Compared with HC group, the functional connection between thalamus and vision conduction pathway in PACG group (parietal lobe/ anterior lobe, frontal lobe/ frontal lobe) and non-visual conduction pathway (central paralobular, central posterior, marginal leaf/ hippocampus) was reduced, thalamus and visual conduction pathway (occipital lobe, (P <0.01, AlphaSim correction, cluster 72.29 voxel). (2) In the network sparsity (0. 1 ~ 0. 6), the standard convergence coefficient of the PACG and HC groups was standardized. 1. Standardization of the shortest path length (IRR) to be 1, and its small world index (INR)? 1. Both groups have "Little World" Properties. (3) Under the minimum and maximum network sparsity (0. 32 ~ 0. 42), the standard poly-coefficient (INR) of PACG group was slightly decreased compared with HC group (P: 0. 283 ~ 0. 453), and the standard shortest path length (LAI) was not changed (P: 0. 463 ~ 0. 93), which resulted in a slight decrease in the index of small world (P: 0. 322 ~ 0. 548). None of these differences were statistically significant (FDR correction, P0.05). In PACG group, the effects of total brain (E _ ()) and local (E _ (local)) did not change significantly (FDR correction, P0.05). (4) Under the minimum network sparsity (0. 32), compared with HC group, the normalized node degree of the early advanced visual cortex of PACG group (the peripheral cortex of the double-side margin, the back of the left occipital nerve, the back of the right occipital and the double-side wedge) was significantly decreased, and the posterior side vision pathway (right thalamus, The normalized node degrees were significantly increased (FDR correction, P0.05); back-side vision pathway (left occipital/ inferior), double-side wedge leaf, The number of normalized nodes in the left-hand tongue and the non-visual pathway (on the left-back lateral frontal, left-left orbital, left-hand, left-hand, left-hand, left-hand, cerebellar hemisphere, cerebellar vermis) was reduced, and the dorsal-ventral visual pathway (right-hand side), There was a significant increase in the number of normalized nodes (FDR correction, P0.05). (5) Under the minimum network sparsity (0. 32), the number of normalized nodes in the left orbital fraction of the PACG group was positively correlated with the venous CDR (r = 0.406, P = 0.019). The number of normalized nodes on the left margin of PACG group was positively correlated with VA (r = 0.357, P = 0.043); the number of normalized nodes on the right margin was positively correlated with VA (r = 0.0558, P = 0.0001); the number of normalized nodes on the left side was positively correlated with VA (r = 0.355, P = 0.043). There was a negative correlation between the normalized node degree and VA (r =-0.371, P = 0.037). The number of normalized nodes and normalized node degree values of the rest of the brain regions in the PACG group were not significantly correlated with RNFLT, venous CDR, IOP and VA. There was no significant correlation with clinical parameters in the resting thalamus-cortex difference brain regions of PACG patients. Conclusion: (1) The PACG group has an abnormal connection including the visual conduction pathway of thalamus and the non-visual conduction pathway (sensory and emotional memory), and it can influence the cognitive function of the patient's vision; (2) The PACG group has stable and high efficiency. "Little World" (3) The local attributes of PACG group visual and non-visual (somatic movement) brain regions are changed, and involve the default network (DMN). It is estimated that DMN may be one of the mechanisms that cause abnormal mental activity in PACG patients. (4) The visual brain regions of PACG group were associated with VA, and the non-visual brain regions were associated with venous CDR and VA, respectively.
【學位授予單位】：南昌大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：R445.2;R775
【參考文獻】
相關(guān)期刊論文 前10條
1 李聲鴻;況琪斐;周福慶;李平;江菲;劉丹;蔡鳳琴;龔洪翰;曾獻軍;;原發(fā)性閉角型青光眼患者初級視覺皮層功能連接的靜息態(tài)fMRI研究[J];臨床放射學雜志;2017年04期
2 江菲;蔡鳳琴;李海軍;李聲鴻;高磊;曾獻軍;;靜息態(tài)功能磁共振成像評價原發(fā)性閉角型青光眼患者腦部局部一致性[J];中國醫(yī)學影像技術(shù);2016年06期
3 江菲;李海軍;蔡鳳琴;龔洪翰;周福慶;戴西件;曾獻軍;;原發(fā)性閉角型青光眼手術(shù)前后靜息態(tài)功能MRI的局部一致性研究[J];臨床放射學雜志;2016年04期
4 江名芳;牛廣明;云強;高陽;石峰;;磁共振擴散張量成像在帕金森病診斷中的應用研究[J];實用放射學雜志;2015年12期
5 蔡鳳琴;曾獻軍;;青光眼的神經(jīng)影像學研究進展[J];實用放射學雜志;2015年11期
6 Qiu-Juan Zhang;Dong Wang;Zhi-Lan Bai;Bai-Chao Ren;Xiao-Hui Li;;Diffusion tensor imaging of optic nerve and optic radiation in primary chronic angle-closure glaucoma using 3T magnetic resonance imaging[J];International Journal of Ophthalmology;2015年05期
7 張海捷;張雪林;李國雄;謝麗璇;李中泉;劉魏偉;;青光眼視通路白質(zhì)纖維束的DTI初步研究[J];實用放射學雜志;2014年12期
8 吳珂;史大鵬;王梅云;軒昂;李海婷;樊紅光;李子園;;原發(fā)性慢性閉角型青光眼視神經(jīng)MR擴散張量成像的研究[J];中華放射學雜志;2012年01期
9 王茂雪;張志強;王正閣;沈連芳;盧光明;;全面強直陣攣癲癇發(fā)作間期的靜息態(tài)fMRI低頻振幅研究[J];中國醫(yī)學影像技術(shù);2011年10期
10 張敬;宋修峰;張權(quán);張云亭;;青光眼患者視覺皮層激活的fMRI評價[J];臨床放射學雜志;2009年08期
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