Altered Functional Complexity Associated with Structural Features in Schizophrenic Brain: A Resting-state fMRI Study

Yi-Ju Lee, Su‐Yun Huang, S. Tsai, A. Yang
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Abstract

: Power law scaling is a well-defined physical concept in complexity science that has been used to quantified the dynamic signals across temporal scales. In this research, we aim to investigate the power law scaling of resting-state fMRI signal in schizophrenic and healthy brain and to examine the potential structural properties that may correlate to the altered functional complexity. Brain imaging data of 200 schizophrenia patients and 200 age and sex-matched healthy Han Chinese was retrieved from Taiwan Aging and Mental Illness cohort. Power law scaling was extracted by Pwelch function. In schizophrenia, six brain regions with abnormal complexity were correlated to the regional structural network of grey matter volume (hub at right superior frontal gyrus) and white matter volume at right superior cerebellar peduncle and splenium of the corpus callosum. Moreover, the identified power law scaling was correlated with clinical symptom severity. Our findings suggest that a loss of scale-free brain signal dynamics affecting by brain morphometries proposed the reduced complex brain activity as one of the neurobiological mechanisms in schizophrenia. This research supports “the loss of brain complexity hypothesis” and “the dysconnectivity hypothesis of schizophrenia.”, laying potential impact in psychiatry.
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与精神分裂症脑结构特征相关的功能复杂性改变:静息状态fMRI研究
幂律标度是复杂性科学中一个定义良好的物理概念,用于跨时间尺度对动态信号进行量化。在这项研究中,我们旨在研究精神分裂症和健康大脑静息状态fMRI信号的幂律缩放,并研究可能与功能复杂性改变相关的潜在结构特性。从台湾老龄化与精神疾病队列中检索了200例精神分裂症患者和200例年龄和性别匹配的健康汉族人群的脑成像数据。利用Pwelch函数提取幂律标度。精神分裂症患者复杂程度异常的6个脑区与脑灰质体积(右侧额上回中枢)、脑白质体积(右侧小脑上蒂和胼胝体脾)区域结构网络相关。此外,确定的幂律量表与临床症状严重程度相关。我们的研究结果表明,受脑形态测量影响的无标度脑信号动力学的丧失表明,复杂脑活动的减少是精神分裂症的神经生物学机制之一。这项研究支持了“大脑复杂性丧失假说”和“精神分裂症的连接障碍假说”。,对精神病学产生了潜在的影响。
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