Transdiagnostic Associations Between Functional Brain Network Integrity and Cognition.
Transdiagnostic Associations Between Functional Brain Network Integrity and Cognition.
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功能性脑网络完整性与认知之间的跨诊断关联。
DOI：
10.1001/jamapsychiatry.2017.0669
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发表时间：
2017-06-01
期刊：
影响因子：
25.8
通讯作者：
Barch DM
中科院分区：
文献类型：
--
作者：
Sheffield JM;Kandala S;Tamminga CA;Pearlson GD;Keshavan MS;Sweeney JA;Clementz BA;Lerman-Sinkoff DB;Hill SK;Barch DM
认知障碍发生在精神病谱系中，并与功能结局相关。然而，目前尚不清楚这些诊断类别中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，或者损伤的来源是否不同。检查在精神病性障碍中观察到的一般认知缺陷是否与广泛涉及支持许多认知领域的2个脑网络的功能完整性类似相关。从2007年9月29日至2011年5月31日，共对201名健康对照参与者和来自中间表型双极-精神分裂症网络（B-SNIP）联盟的375名精神病患者进行了研究。B-SNIP从6个地点招募健康对照和稳定的门诊患者：巴尔的摩，马里兰州;波士顿，马萨诸塞州;芝加哥，伊利诺伊州;达拉斯，德克萨斯州;底特律，密歇根州;和哈特福德，康涅狄格州。所有参与者都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。精神分裂症认知简要评估用于测量认知能力。对精神分裂症成套测验中认知能力的简要评估进行主轴因素分析，得到一个单一因素（解释了54%的方差），作为一般认知能力的衡量标准。功能网络的完整性措施，包括全球和当地的效率，整个大脑，扣带-鳃盖网络（CON），额顶叶网络，听觉网络和探索性分析的所有网络的权力地图集。网络措施，认知和网络措施之间的关联，和调解模式的组差异进行了测试。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名情感障碍患者和129名精神病性双相情感障碍患者（平均[SD]年龄，35.1 [12.0]岁; 281例男性[48.8%]和295例女性[51.2%]; 181例白色[31.4%]，348例黑人[60.4%]和47例其他[8.2%]）。与健康对照组相比，精神分裂症（Cohen d = 0.36，P <0.001）和精神病性双相情感障碍（Cohen d = 0.33，P = 0.002）患者的CON总体效率显著降低。所有精神病患者的CON局部效率均显著降低，但临床组之间无差异。在所有组中，CON总体效率与一般认知能力显著相关（β = 0.099，P = 0.009），并显著介导了精神障碍状态与一般认知之间的关联（β =-0.037; 95%CI，-0.076至-0.014）。皮质下网络的整体效率在精神病性障碍中也显著降低（F3，587 = 4.01，P = .008），并积极预测认知能力（β = 0.094，P = .009）。这些发现提供了证据，降低CON和皮层下网络效率在整个精神病谱中观察到的一般认知缺陷中发挥作用。他们提供了新的支持维度假设，一个共享的神经生物学机制的基础上认知障碍的精神障碍。
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. 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.
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影响因子：
16.2
作者：
Palaniyappan L;Simmonite M;White TP;Liddle EB;Liddle PF
通讯作者：
Liddle PF
影响因子：
3.1
作者：
Menon, Vinod;Uddin, Lucina Q.
通讯作者：
Uddin, Lucina Q.
DOI：
10.1177/1073858414525995
发表时间：
2014-12
期刊：
The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry
影响因子：
--
作者：
Cole MW;Repovš G;Anticevic A
通讯作者：
Anticevic A
影响因子：
6.6
作者：
Meda, Shashwath A.;Wang, Zheng;Pearlson, Godfrey D.
通讯作者：
Pearlson, Godfrey D.
DOI：
10.1176/appi.ajp.2013.12101298
发表时间：
2013-11
期刊：
The American journal of psychiatry
影响因子：
--
作者：
Hill SK;Reilly JL;Keefe RS;Gold JM;Bishop JR;Gershon ES;Tamminga CA;Pearlson GD;Keshavan MS;Sweeney JA
通讯作者：
Sweeney JA