Anticevic Alan, Haut Kristen, Murray John D, Repovs Grega, Yang Genevieve J, Diehl Caroline, McEwen Sarah C, Bearden Carrie E, Addington Jean, Goodyear Bradley, Cadenhead Kristin S, Mirzakhanian Heline, Cornblatt Barbara A, Olvet Doreen, Mathalon Daniel H, McGlashan Thomas H, Perkins Diana O, Belger Aysenil, Seidman Larry J, Tsuang Ming T, van Erp Theo G M, Walker Elaine F, Hamann Stephan, Woods Scott W, Qiu Maolin, Cannon Tyrone D
Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut2National Institute of Alcohol Abuse and Alcoholism Center for the Translational Neuroscience of Alcoholism, New Haven, Connecticut3Abraham Ribicoff Research Facilities, C.
Department of Psychology, Yale University, New Haven, Connecticut.
JAMA Psychiatry. 2015 Sep;72(9):882-91. doi: 10.1001/jamapsychiatry.2015.0566.
Severe neuropsychiatric conditions, such as schizophrenia, affect distributed neural computations. One candidate system profoundly altered in chronic schizophrenia involves the thalamocortical networks. It is widely acknowledged that schizophrenia is a neurodevelopmental disorder that likely affects the brain before onset of clinical symptoms. However, no investigation has tested whether thalamocortical connectivity is altered in individuals at risk for psychosis or whether this pattern is more severe in individuals who later develop full-blown illness.
To determine whether baseline thalamocortical connectivity differs between individuals at clinical high risk for psychosis and healthy controls, whether this pattern is more severe in those who later convert to full-blown illness, and whether magnitude of thalamocortical dysconnectivity is associated with baseline prodromal symptom severity.
DESIGN, SETTING, AND PARTICIPANTS: In this multicenter, 2-year follow-up, case-control study, we examined 397 participants aged 12-35 years of age (243 individuals at clinical high risk of psychosis, of whom 21 converted to full-blown illness, and 154 healthy controls). The baseline scan dates were January 15, 2010, to April 30, 2012.
Whole-brain thalamic functional connectivity maps were generated using individuals' anatomically defined thalamic seeds, measured using resting-state functional connectivity magnetic resonance imaging.
Using baseline magnetic resonance images, we identified thalamocortical dysconnectivity in the 243 individuals at clinical high risk for psychosis, which was particularly pronounced in the 21 participants who converted to full-blown illness. The pattern involved widespread hypoconnectivity between the thalamus and prefrontal and cerebellar areas, which was more prominent in those who converted to full-blown illness (t(173) = 3.77, P < .001, Hedge g = 0.88). Conversely, there was marked thalamic hyperconnectivity with sensory motor areas, again most pronounced in those who converted to full-blown illness (t(173) = 2.85, P < .001, Hedge g = 0.66). Both patterns were significantly correlated with concurrent prodromal symptom severity (r = 0.27, P < 3.6 × 10(-8), Spearman ρ = 0.27, P < 4.75 × 10(-5), 2-tailed).
Thalamic dysconnectivity, resembling that seen in schizophrenia, was evident in individuals at clinical high risk for psychosis and more prominently in those who later converted to psychosis. Dysconnectivity correlated with symptom severity, supporting the idea that thalamic connectivity may have prognostic implications for risk of conversion to full-blown illness.
严重的神经精神疾病,如精神分裂症,会影响分布式神经计算。慢性精神分裂症中一个受到深刻改变的候选系统涉及丘脑皮质网络。人们普遍认为精神分裂症是一种神经发育障碍,很可能在临床症状出现之前就影响大脑。然而,尚无研究测试精神病风险个体的丘脑皮质连接是否改变,或者这种模式在后来发展为全面疾病的个体中是否更严重。
确定精神病临床高危个体与健康对照者之间的基线丘脑皮质连接是否存在差异,这种模式在后来转变为全面疾病的个体中是否更严重,以及丘脑皮质连接断开的程度是否与基线前驱症状严重程度相关。
设计、设置和参与者:在这项多中心、为期2年的随访病例对照研究中,我们检查了397名年龄在12至35岁之间的参与者(243名精神病临床高危个体,其中21人转变为全面疾病,以及154名健康对照者)。基线扫描日期为2010年1月15日至2012年4月30日。
使用个体经解剖学定义的丘脑种子生成全脑丘脑功能连接图,通过静息态功能连接磁共振成像进行测量。
利用基线磁共振图像,我们在243名精神病临床高危个体中发现了丘脑皮质连接断开,这在后来转变为全面疾病的21名参与者中尤为明显。这种模式涉及丘脑与前额叶和小脑区域之间广泛的连接减弱,在转变为全面疾病的个体中更为突出(t(173) = 3.77,P <.001,Hedge g = 0.88)。相反,丘脑与感觉运动区域存在明显的连接增强,同样在转变为全面疾病的个体中最为明显(t(173) = 2.85,P <.001,Hedge g = 0.66)。这两种模式均与同时期的前驱症状严重程度显著相关(r = 0.27,P < 3.6 × 10(-8),Spearman ρ = 0.27,P < 4.75 × 10(-5),双侧)。
在精神病临床高危个体中,类似于精神分裂症中所见的丘脑连接断开是明显的,在后来转变为精神病的个体中更为突出。连接断开与症状严重程度相关,支持丘脑连接可能对转变为全面疾病的风险具有预后意义这一观点。