中华神经科杂志
中華神經科雜誌
중화신경과잡지
Chinese Journal of Neurology
2015年
9期
740-747
,共8页
王晓妮%张朦%李瑜霞%曾扬%盛灿%郝旭阳%孙宇%张逸鹤%李红艳
王曉妮%張朦%李瑜霞%曾颺%盛燦%郝旭暘%孫宇%張逸鶴%李紅豔
왕효니%장몽%리유하%증양%성찬%학욱양%손우%장일학%리홍염
轻度认知障碍%神经网%弥散张量成像
輕度認知障礙%神經網%瀰散張量成像
경도인지장애%신경망%미산장량성상
Mild cognitive impairment%Nerve net%Diffusion tensor imaging
目的 探讨遗忘型轻度认知障碍(amnestic mild cognitive impairment,aMCI)患者脑白质网络全局属性的特征,并评估脑网络分析方法对早期诊断阿尔茨海默病的作用.方法 收集2011年1月至2014年8月于首都医科大学宣武医院记忆门诊就诊的26例aMCI患者及同期社区招募的30名健康对照的弥散张量成像图像数据,基于纤维根数和部分各向异性构建56个脑网络矩阵,通过置换检验对不同阈值下两组人群的脑网络参数进行比较.结果 aMCI组和健康对照组的脑白质网络均表现出显著的小世界特征,与健康对照组相比,aMCI患者标准化聚集系数(如阈值取0.1,aMCI组为2.47,健康对照组为2.57,P=0.049)、局部效率(aMCI组为12.01,健康对照组为13.57,P=0.001)及小世界属性(aMCI组为2.02,健康对照组为2.11,P=0.013)明显下降,但其平均节点度(aMCI组为92.02,健康对照组为103.62,P=0.502),全局效率(aMCI组为3.32,健康对照组为3.62,P=0.061)和标准化平均最短路径长度(aMCI组为1.23,健康对照组为1.23,P=0.199)与健康对照组相比差异无统计学意义.结论 aMCI患者的脑白质网络已经出现改变,基于弥散张量成像的脑网络分析有望成为新的早期诊断aMCI的影像学标志.
目的 探討遺忘型輕度認知障礙(amnestic mild cognitive impairment,aMCI)患者腦白質網絡全跼屬性的特徵,併評估腦網絡分析方法對早期診斷阿爾茨海默病的作用.方法 收集2011年1月至2014年8月于首都醫科大學宣武醫院記憶門診就診的26例aMCI患者及同期社區招募的30名健康對照的瀰散張量成像圖像數據,基于纖維根數和部分各嚮異性構建56箇腦網絡矩陣,通過置換檢驗對不同閾值下兩組人群的腦網絡參數進行比較.結果 aMCI組和健康對照組的腦白質網絡均錶現齣顯著的小世界特徵,與健康對照組相比,aMCI患者標準化聚集繫數(如閾值取0.1,aMCI組為2.47,健康對照組為2.57,P=0.049)、跼部效率(aMCI組為12.01,健康對照組為13.57,P=0.001)及小世界屬性(aMCI組為2.02,健康對照組為2.11,P=0.013)明顯下降,但其平均節點度(aMCI組為92.02,健康對照組為103.62,P=0.502),全跼效率(aMCI組為3.32,健康對照組為3.62,P=0.061)和標準化平均最短路徑長度(aMCI組為1.23,健康對照組為1.23,P=0.199)與健康對照組相比差異無統計學意義.結論 aMCI患者的腦白質網絡已經齣現改變,基于瀰散張量成像的腦網絡分析有望成為新的早期診斷aMCI的影像學標誌.
목적 탐토유망형경도인지장애(amnestic mild cognitive impairment,aMCI)환자뇌백질망락전국속성적특정,병평고뇌망락분석방법대조기진단아이자해묵병적작용.방법 수집2011년1월지2014년8월우수도의과대학선무의원기억문진취진적26례aMCI환자급동기사구초모적30명건강대조적미산장량성상도상수거,기우섬유근수화부분각향이성구건56개뇌망락구진,통과치환검험대불동역치하량조인군적뇌망락삼수진행비교.결과 aMCI조화건강대조조적뇌백질망락균표현출현저적소세계특정,여건강대조조상비,aMCI환자표준화취집계수(여역치취0.1,aMCI조위2.47,건강대조조위2.57,P=0.049)、국부효솔(aMCI조위12.01,건강대조조위13.57,P=0.001)급소세계속성(aMCI조위2.02,건강대조조위2.11,P=0.013)명현하강,단기평균절점도(aMCI조위92.02,건강대조조위103.62,P=0.502),전국효솔(aMCI조위3.32,건강대조조위3.62,P=0.061)화표준화평균최단로경장도(aMCI조위1.23,건강대조조위1.23,P=0.199)여건강대조조상비차이무통계학의의.결론 aMCI환자적뇌백질망락이경출현개변,기우미산장량성상적뇌망락분석유망성위신적조기진단aMCI적영상학표지.
Objective To investigate the characteristics of the topological architecture of structural brain networks using diffusion tensor imaging (DTI) in amnestic mild cognitive impairment (aMCI) patients and evaluate the value of quantitative complex network analysis in early diagnoses of Alzheimer's disease.Methods In this study,26 aMCI patients and 30 age-matched normal controls,collected in memory clinics at Xuanwu Hospital of Capital Medical University from January 2011 to August 2014,underwent DTI.Fiftysix network matrices were constructed thresholding fractional anisotropy and fiber number.Finally relevant network parameters were compared between the two groups utilizing permutation test.Results Both groups showed small-world architecture,whereas compared to normal controls,significant decrease in normalized clustering coefficient (for example,when threshold is 0.1,aMCI group was 2.47,normol control group was 2.57,P =0.049),local efficiency (aMCI group was 12.01,normol control group was 13.57,P =0.001) and small-world (aMCI group was 2.02,normol control group was 2.11,P =0.013) were found in aMCI,but there was no significant difference in average degree (aMCI group was 92.02,normol control group was 103.62,P =0.502),normalized characteristic path length (aMCI group was 3.32,normol control group 3.62,P =0.061) and global efficiency (aMCI group was 1.23,normol control group 1.23,P =0.199) between the two groups.Conclusion Our findings suggest that the structural network widely alters in aMCI patients and network analysis has the potential to be an imaging biomarker for aMCI diagnosis.
