Sheffield Julia M, Kandala Sridhar, Tamminga Carol A, Pearlson Godfrey D, Keshavan Matcheri S, Sweeney John A, Clementz Brett A, Lerman-Sinkoff Dov B, Hill S Kristian, Barch Deanna M
Department of Psychological and Brain Sciences, Washington University, St Louis, Missouri.
Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri.
JAMA Psychiatry. 2017 Jun 1;74(6):605-613. doi: 10.1001/jamapsychiatry.2017.0669.
Cognitive impairment occurs across the psychosis spectrum and is associated with functional outcome. However, it is unknown whether these shared manifestations of cognitive dysfunction across diagnostic categories also reflect shared neurobiological mechanisms or whether the source of impairment differs.
To examine whether the general cognitive deficit observed across psychotic disorders is similarly associated with functional integrity of 2 brain networks widely implicated in supporting many cognitive domains.
DESIGN, SETTING, AND PARTICIPANTS: A total of 201 healthy control participants and 375 patients with psychotic disorders from the Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP) consortium were studied from September 29, 2007, to May 31, 2011. The B-SNIP recruited healthy controls and stable outpatients from 6 sites: Baltimore, Maryland; Boston, Massachusetts; Chicago, Illinois; Dallas, Texas; Detroit, Michigan; and Hartford, Connecticut. All participants underwent cognitive testing and resting-state functional magnetic resonance imaging. Data analysis was performed from April 28, 2015, to February 21, 2017.
The Brief Assessment of Cognition in Schizophrenia was used to measure cognitive ability. A principal axis factor analysis on the Brief Assessment of Cognition in Schizophrenia battery yielded a single factor (54% variance explained) that served as the measure of general cognitive ability. Functional network integrity measures included global and local efficiency of the whole brain, cingulo-opercular network (CON), frontoparietal network, and auditory network and exploratory analyses of all networks from the Power atlas. Group differences in network measures, associations between cognition and network measures, and mediation models were tested.
The final sample for the current study included 201 healthy controls, 143 patients with schizophrenia, 103 patients with schizoaffective disorder, and 129 patients with psychotic bipolar disorder (mean [SD] age, 35.1 [12.0] years; 281 male [48.8%] and 295 female [51.2%]; 181 white [31.4%], 348 black [60.4%], and 47 other [8.2%]). Patients with schizophrenia (Cohen d = 0.36, P < .001) and psychotic bipolar disorder (Cohen d = 0.33, P = .002) had significantly reduced CON global efficiency compared with healthy controls. All patients with psychotic disorders had significantly reduced CON local efficiency, but the clinical groups did not differ from one another. The CON global efficiency was significantly associated with general cognitive ability across all groups (β = 0.099, P = .009) and significantly mediated the association between psychotic disorder status and general cognition (β = -0.037; 95% CI, -0.076 to -0.014). Subcortical network global efficiency was also significantly reduced in psychotic disorders (F3,587 = 4.01, P = .008) and positively predicted cognitive ability (β = 0.094, P = .009).
These findings provide evidence that reduced CON and subcortical network efficiency play a role in the general cognitive deficit observed across the psychosis spectrum. They provide new support for the dimensional hypothesis that a shared neurobiological mechanism underlies cognitive impairment in psychotic disorders.
认知障碍在精神病谱系中普遍存在,且与功能结局相关。然而,尚不清楚这些跨诊断类别的认知功能障碍的共同表现是否也反映了共同的神经生物学机制,或者损害的根源是否不同。
研究精神病性障碍中观察到的一般认知缺陷是否同样与广泛参与支持许多认知领域的两个脑网络的功能完整性相关。
设计、设置和参与者:2007年9月29日至2011年5月31日,对来自中间表型双相-精神分裂症网络(B-SNIP)联盟的201名健康对照参与者和375名精神病性障碍患者进行了研究。B-SNIP从6个地点招募了健康对照者和稳定的门诊患者:马里兰州巴尔的摩;马萨诸塞州波士顿;伊利诺伊州芝加哥;得克萨斯州达拉斯;密歇根州底特律;康涅狄格州哈特福德。所有参与者均接受了认知测试和静息态功能磁共振成像。数据分析于2015年4月28日至2017年2月21日进行。
使用精神分裂症认知简短评估量表来测量认知能力。对精神分裂症认知简短评估量表进行主成分因子分析,得出一个单一因子(解释方差54%),作为一般认知能力的测量指标。功能网络完整性测量指标包括全脑的全局和局部效率、扣带回-岛盖网络(CON)、额顶网络和听觉网络,以及对来自Power图谱的所有网络的探索性分析。测试了网络测量指标的组间差异、认知与网络测量指标之间的关联以及中介模型。
本研究的最终样本包括201名健康对照者、143名精神分裂症患者、103名分裂情感性障碍患者和129名精神病性双相障碍患者(平均[标准差]年龄,35.1[12.0]岁;281名男性[48.8%]和295名女性[51.2%];181名白人[31.4%],348名黑人[60.4%],47名其他种族[8.2%])。与健康对照者相比,精神分裂症患者(Cohen d=0.36,P<.001)和精神病性双相障碍患者(Cohen d=0.33,P=.002)的CON全局效率显著降低。所有精神病性障碍患者的CON局部效率均显著降低,但各临床组之间无差异。CON全局效率在所有组中均与一般认知能力显著相关(β=0.099,P=.009),并显著介导了精神病性障碍状态与一般认知之间的关联(β=-0.037;95%CI,-0.076至-0.014)。精神病性障碍患者的皮质下网络全局效率也显著降低(F3,587=4.01,P=.008),并正向预测认知能力(β=0.094,P=.009)。
这些发现提供了证据,表明CON和皮质下网络效率降低在精神病谱系中观察到的一般认知缺陷中起作用。它们为维度假说提供了新的支持,即共同的神经生物学机制是精神病性障碍认知损害的基础。