Load-dependent inverted U-shaped connectivity of the default mode network in schizophrenia during a working-memory task: evidence from a replication functional MRI study

被引:8
|
作者
Wang, Feiwen [1 ,2 ]
Xi, Chang [1 ,2 ]
Liu, Zhening [1 ,2 ]
Deng, Mengjie [1 ,2 ]
Zhang, Wen [1 ,2 ]
Cao, Hengyi [3 ,4 ]
Yang, Jie [1 ,2 ]
Palaniyappan, Lena [5 ,6 ,7 ]
机构
[1] Cent South Univ, Dept Psychiat, Xiangya Hosp 2, Changsha 410011, Hunan, Peoples R China
[2] Natl Clin Res Ctr Mental Disorders, Changsha, Hunan, Peoples R China
[3] Feinstein Inst Med Res, Ctr Psychiat Neurosci, Manhasset, NY USA
[4] Zucker Hillside Hosp, Div Psychiat Res, Glen Oaks, NY USA
[5] McGill Univ, Dept Psychiat, Douglas Mental Hlth Univ Inst, Montreal, PQ, Canada
[6] Western Univ, Dept Med Biophys, London, ON, Canada
[7] Western Univ, Robarts Res Inst, London, ON, Canada
来源
JOURNAL OF PSYCHIATRY & NEUROSCIENCE | 2022年 / 47卷 / 05期
基金
中国国家自然科学基金;
关键词
D O I
10.1503/jpn.220053
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Background: Working-memory deficit is associated with aberrant degree distribution of the brain connectome in schizophrenia. However, the brain neural mechanism underlying the degree redistribution pattern in schizophrenia is still uncertain. Methods: We examined the functional degree distribution of the connectome in 81 patients with schizophrenia and 77 healthy controls across different working-memory loads during an n-back task. We tested the associations between altered degree distribution and clinical symptoms, and we conducted functional connectivity analyses to investigate the neural mechanism underlying altered degree distribution. We repeated these analyses in a second independent data set of 96 participants. In the second data set, we employed machine-learning analysis to study whether the degree distribution pattern of one data set could be used to discriminate between patients with schizophrenia and controls in the other data set. Results: Patients with schizophrenia showed decreased centrality in the dorsal posterior cingulate cortex (dPCC) for the "2-back versus 0-back" contrast compared to healthy controls. The dPCC centrality pattern across all working-memory loads was an inverted U shape, with a left shift of this pattern in patients with schizophrenia. This reduced centrality was correlated with the severity of delusions and related to reduced functional connectivity between the dPCC and the dorsal precuneus. We replicated these results with the second data set, and the machine-learning analyses achieved an accuracy level of 71%. Limitations: We used a limited n-back paradigm that precluded the examination of higher working-memory loads. Conclusion: Schizophrenia is characterized by a load-dependent reduction of centrality in the dPCC, related to the severity of delusions. We suggest that restoring dPCC centrality in the presence of cognitive demands might have a therapeutic effect on persistent delusions in people with schizophrenia.
引用
收藏
页码:E341 / E350
页数:10
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