Kochunov Peter, Coyle Thomas R, Rowland Laura M, Jahanshad Neda, Thompson Paul M, Kelly Sinead, Du Xiaoming, Sampath Hemalatha, Bruce Heather, Chiappelli Joshua, Ryan Meghann, Fisseha Feven, Savransky Anya, Adhikari Bhim, Chen Shuo, Paciga Sara A, Whelan Christopher D, Xie Zhiyong, Hyde Craig L, Chen Xing, Schubert Christian R, O'Donnell Patricio, Hong L Elliot
Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore.
Department of Psychology, The University of Texas at San Antonio.
JAMA Psychiatry. 2017 Sep 1;74(9):958-966. doi: 10.1001/jamapsychiatry.2017.2228.
Efforts to remediate the multiple cognitive function impairments in schizophrenia should consider white matter as one of the underlying neural mechanisms.
To determine whether altered structural brain connectivity is responsible for 2 of the core cognitive deficits in schizophrenia- reduced information processing speed and impaired working memory.
DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study design took place in outpatient clinics from August 1, 2004, to August 31, 2015. Participants included 166 patients with schizophrenia and 213 healthy control individuals. These participants were from 3 independent cohorts, each of which had its own healthy control group. No participant had current or past neurological conditions or major medical conditions. Patients were diagnosed with either schizophrenia or schizoaffective disorder as defined by the DSM-IV. Controls had no Axis I psychiatric disorder.
Mediation analyses and structural equation modeling were used to analyze the associations among processing speed, working memory, and white matter microstructures. Whole-brain and regional diffusion tensor imaging fractional anisotropy were used to measure white matter microstructures.
Of the study participants, the 166 patients with schizophrenia had a mean (SD) age of 38.2 (13.3) years and the 213 healthy controls had a mean (SD) age of 39.2 (14.0) years. There were significantly more male patients than controls in each of the 3 cohorts (117 [70%] vs 91 [43%]), but there were no significant differences in sex composition among the 3 cohorts. Patients had significantly reduced processing speed (Cohen d = 1.24; P = 6.91 × 10-30) and working memory deficits (Cohen d = 0.83; P = 1.10 × 10-14) as well as a significant whole-brain fractional anisotropy deficit (Cohen d = 0.63; P = 2.20 × 10-9). In schizophrenia, working memory deficit was mostly accounted for by processing speed deficit, but this deficit remained when accounting for working memory (Cohen d = 0.89; P = 2.21 × 10-17). Mediation analyses showed a significant association pathway from fractional anisotropy to processing speed to working memory (P = 5.01 × 10-7). The strength of this brain-to-cognition pathway in different white matter tracts was strongly associated with the severity of schizophrenia-associated fractional anisotropy deficits in the corresponding white matter tracts as determined by a meta-analysis (r = 0.85-0.94; all P < .001). The same pattern was observed in patients and controls either jointly or independently.
Study findings suggest that (1) processing speed contributes to the association between white matter microstructure and working memory in schizophrenia and (2) white matter impairment in schizophrenia is regional tract-specific, particularly in tracts normally supporting processing speed performance.
修复精神分裂症中多种认知功能损害的努力应将白质视为潜在的神经机制之一。
确定大脑结构连接改变是否是精神分裂症的两个核心认知缺陷——信息处理速度降低和工作记忆受损的原因。
设计、地点和参与者:这项横断面研究设计于2004年8月1日至2015年8月31日在门诊诊所进行。参与者包括166名精神分裂症患者和213名健康对照个体。这些参与者来自3个独立队列,每个队列都有自己的健康对照组。没有参与者有当前或过去的神经系统疾病或重大医疗状况。患者根据《精神疾病诊断与统计手册》第四版(DSM-IV)被诊断为精神分裂症或分裂情感性障碍。对照组没有轴I精神障碍。
采用中介分析和结构方程模型来分析处理速度、工作记忆和白质微观结构之间的关联。使用全脑和区域扩散张量成像分数各向异性来测量白质微观结构。
在研究参与者中,166名精神分裂症患者的平均(标准差)年龄为38.2(13.3)岁,213名健康对照者的平均(标准差)年龄为39.2(14.0)岁。在3个队列中的每一个队列中,男性患者都明显多于对照组(117[70%]对91[43%]),但3个队列之间的性别构成没有显著差异。患者的处理速度显著降低(科恩d=1.24;P=6.91×10-30)和工作记忆缺陷(科恩d=0.83;P=1.10×10-14),以及全脑分数各向异性显著降低(科恩d=0.63;P=2.20×10-9)。在精神分裂症中,工作记忆缺陷主要由处理速度缺陷导致,但在考虑工作记忆时这种缺陷仍然存在(科恩d=0.89;P=2.21×10-17)。中介分析显示了从分数各向异性到处理速度再到工作记忆的显著关联路径(P=5.01×10-7)。通过荟萃分析确定,不同白质束中这种从大脑到认知的路径强度与相应白质束中精神分裂症相关分数各向异性缺陷的严重程度密切相关(r=0.85-0.94;所有P<.001)。在患者和对照组中联合或单独观察到相同的模式。
研究结果表明:(1)处理速度促成了精神分裂症中白质微观结构与工作记忆之间的关联;(2)精神分裂症中的白质损害是区域束特异性的,特别是在通常支持处理速度表现的束中。