Peeters Sanne, Simas Tiago, Suckling John, Gronenschild Ed, Patel Ameera, Habets Petra, van Os Jim, Marcelis Machteld
Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, EURON, Maastricht University Medical Centre, PO Box 616 (Vijv1), 6200 MD Maastricht, The Netherlands; Faculty of Psychology and Educational Sciences, Open University of the Netherlands, Heerlen, The Netherlands.
Behavioral and Clinical Neuroscience Institute, Department of Psychiatry, University of Cambridge, United Kingdom.
Neuroimage Clin. 2015 Oct 9;9:607-16. doi: 10.1016/j.nicl.2015.10.003. eCollection 2015.
Dysconnectivity in schizophrenia can be understood in terms of dysfunctional integration of a distributed network of brain regions. Here we propose a new methodology to analyze complex networks based on semi-metric behavior, whereby higher levels of semi-metricity may represent a higher level of redundancy and dispersed communication. It was hypothesized that individuals with (increased risk for) psychotic disorder would have more semi-metric paths compared to controls and that this would be associated with symptoms.
Resting-state functional MRI scans were obtained from 73 patients with psychotic disorder, 83 unaffected siblings and 72 controls. Semi-metric percentages (SMP) at the whole brain, hemispheric and lobar level were the dependent variables in a multilevel random regression analysis to investigate group differences. SMP was further examined in relation to symptomatology (i.e., psychotic/cognitive symptoms).
At the whole brain and hemispheric level, patients had a significantly higher SMP compared to siblings and controls, with no difference between the latter. In the combined sibling and control group, individuals with high schizotypy had intermediate SMP values in the left hemisphere with respect to patients and individuals with low schizotypy. Exploratory analyses in patients revealed higher SMP in 12 out of 42 lobar divisions compared to controls, of which some were associated with worse PANSS symptomatology (i.e., positive symptoms, excitement and emotional distress) and worse cognitive performance on attention and emotion processing tasks. In the combined group of patients and controls, working memory, attention and social cognition were associated with higher SMP.
The results are suggestive of more dispersed network communication in patients with psychotic disorder, with some evidence for trait-based network alterations in high-schizotypy individuals. Dispersed communication may contribute to the clinical phenotype in psychotic disorder. In addition, higher SMP may contribute to neuro- and social cognition, independent of psychosis risk.
精神分裂症中的连接失调可从大脑区域分布式网络的功能失调整合角度来理解。在此,我们提出一种基于半度量行为分析复杂网络的新方法,据此,更高水平的半度量性可能代表更高水平的冗余和分散通信。据推测,患有(或有增加风险患)精神障碍的个体与对照组相比,会有更多的半度量路径,且这与症状相关。
对73例精神障碍患者、83名未患病的同胞及72名对照进行静息态功能磁共振成像扫描。在多级随机回归分析中,将全脑、半球和脑叶水平的半度量百分比(SMP)作为因变量,以研究组间差异。进一步考察SMP与症状学(即精神病性/认知症状)的关系。
在全脑和半球水平,患者的SMP显著高于同胞和对照,而后两者之间无差异。在同胞和对照组的合并组中,具有高精神分裂症型人格的个体在左半球的SMP值介于患者和低精神分裂症型人格个体之间。对患者的探索性分析显示,与对照组相比,42个脑叶分区中有12个的SMP更高,其中一些与更差的阳性和阴性症状量表(PANSS)症状(即阳性症状、兴奋和情绪困扰)以及注意力和情绪处理任务中更差的认知表现相关。在患者和对照组的合并组中,工作记忆、注意力和社会认知与更高的SMP相关。
结果表明精神障碍患者存在更分散的网络通信,有证据表明高精神分裂症型人格个体存在基于特质的网络改变。分散通信可能导致精神障碍的临床表型。此外,更高的SMP可能有助于神经和社会认知,与精神病风险无关。