Differences in resting-state functional magnetic resonance imaging functional network connectivity between schizophrenia and psychotic bipolar probands and their unaffected first-degree relatives.

Differences in resting-state functional magnetic resonance imaging functional network connectivity between schizophrenia and psychotic bipolar probands and their unaffected first-degree relatives.
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DOI:
10.1016/j.biopsych.2012.01.025
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发表时间:
2012-05-15
影响因子:
10.6
通讯作者:
Pearlson, Godfrey D.
Pearlson, Godfrey D.
中科院分区:
医学1区
文献类型:
--
作者:
Meda, Shashwath A.;Gill, Adrienne;Stevens, Michael C.;Lorenzoni, Raymond P.;Glahn, David C.;Calhoun, Vince D.;Sweeney, John A.;Tamminga, Carol A.;Keshavan, Matcheri S.;Thaker, Gunvant;Pearlson, Godfrey D.

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精神分裂症和双相情感障碍共享重叠的症状和遗传病因。在这两种疾病中都可以看到功能性大脑连接障碍。我们比较了70名精神分裂症和64名精神病双相先证者,他们各自未受影响的一级亲属(N= 70和52)和118名健康受试者,所有组的年龄,性别和种族匹配。我们使用功能网络连接(FNC)分析,以衡量16个功能磁共振RSN之间的差异连接。首先,我们研究了先证者和对照之间的连接差异。接下来,我们在亲属中探索这些功能失调的联系,以寻找潜在的内在表型。然后将网络连接与PANSS评分相关,以揭示临床关系。在先证者中有三种不同的网络对差异连接(FDR校正的q<0.05),涉及5个单独的静息状态网络:(A)额/枕,(B)前默认模式/前额叶,(C)中/旁边缘,(D)额颞/旁边缘和(E)感觉运动。一对异常是精神分裂症特有的(C-E),一对是双相情感障碍特有的(C-D),一对是共有的(A-B)。这3种组合中的2种(A-B,C-E)在双相情感障碍亲属中也异常,但在精神分裂症亲属中无异常(C-E无显著趋势)。边缘旁回路(C-D)是双相先证者的独特特征,包含多个情绪相关区域。网络关系C-D与双相先证者PANSS阴性分显著相关,A-B与精神分裂症PANSS阳性分和总分显著相关。精神分裂症和精神病双相先证者有几个异常的RSN连接,但在疾病之间也有独特的神经网络基础。我们确定了特定的连接和临床关系,也可能是候选的精神病内表型,虽然这些不直接与传统的诊断分离。
Schizophrenia and bipolar disorder share overlapping symptoms and genetic etiology. Functional brain dysconnectivity is seen in both disorders. We compared 70 schizophrenia and 64 psychotic bipolar probands, their respective unaffected first-degree relatives (N= 70 and 52) and 118 healthy subjects, all group age-, sex- and ethnicity-matched. We used functional network connectivity (FNC) analysis to measure differential connectivity among 16 fMRI RSNs. First, we examined connectivity differences between probands and controls. Next, we probed these dysfunctional connections in relatives for potential endophenotypes. Network connectivity was then correlated with PANSS scores to reveal clinical relationships. Three different network pairs were differentially connected in probands (FDR-corrected q<0.05) involving 5 individual resting-state networks: (A) Fronto/Occipital, (B) anterior Default Mode/Prefrontal, (C) Meso/Paralimbic, (D) Fronto-Temporal/Paralimbic & (E) Sensory-motor. One abnormal pair was unique to schizophrenia, (C-E), one unique to bipolar, (C-D) and one (A-B) shared. Two of these 3 combinations (A-B, C-E) were also abnormal in bipolar relatives, but none in schizophrenia relatives (non-significant trend for C-E). The Paralimbic circuit (C-D), that uniquely distinguished bipolar probands, contained multiple mood-relevant regions. Network relationship C-D correlated significantly with PANSS negative scores in bipolar probands and A-B was correlated to PANSS positive and general scores in schizophrenia. Schizophrenia and psychotic bipolar probands share several abnormal RSN connections, but there are also unique neural network underpinnings between disorders. We identified specific connections and clinical relationships that may also be candidate psychosis endophenotypes, although these do not segregate straightforwardly with conventional diagnoses.
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发表时间: 2009-12-30
影响因子: 2.3
作者:
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通讯作者: Phillips, Mary L.