Beijing Huilongguan Hospital, Peking University Huilongguan Clinical Medical School, Beijing 100096, China.
State Key Laboratory of Cognitive Neuroscience and Learning & International Data Group/McGovern Institute for Brain Research, Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing 100875, China.
Psychol Med. 2022 Sep;52(12):2270-2280. doi: 10.1017/S003329172000416X. Epub 2020 Nov 13.
A dysfunctional default mode network (DMN) has been reported in patients with schizophrenia. However, the stability of the deficits has not been determined across different stages of the disorder.
We examined the functional connectivity of the DMN subsystems of 125 patients with first-episode schizophrenia (FES) or recurrent schizophrenia (RES), compared to that of 82 healthy controls. We tested the robustness of the findings in an independent cohort of 158 patients and 39 healthy controls. We performed resting-state functional connectivity analysis, and examined the strength of the connections within and between the three subsystems of the DMN (core, dorsal medial prefrontal cortex [dMPFC], and medial temporal lobe [MTL]). We also analyzed the connectivity correlations to symptoms and illness duration.
We found reduced connectivity strength between the core and MTL subsystems in schizophrenia patients compared to controls, with no differences between the FES and RES patient groups; these findings were validated in the second sample. Schizophrenia patients also showed a significant reduction in connectivity within the MTL and between the dMPFC-MTL subsystems, similarly between FES and RES groups. The connectivity strength within the core subsystem was negatively correlated with clinical symptoms in schizophrenia. There was no significant correlation between the DMN subsystem connectivity and illness duration.
DMN subsystem connectivity deficits are present in schizophrenia, and the homochronicity of their appearance indicates the trait-like nature of these alterations. The DMN deficit may be useful for early diagnosis, and MTL dysfunction may be a crucial mechanism underlying schizophrenia.
研究报道精神分裂症患者的默认模式网络(DMN)存在功能障碍。然而,DMN 缺陷在疾病的不同阶段是否稳定尚未确定。
我们比较了 125 例首发精神分裂症(FES)或复发性精神分裂症(RES)患者与 82 名健康对照者的 DMN 子系统功能连接,以检验该发现的稳健性。我们对 158 例患者和 39 名健康对照者的独立队列进行了静息态功能连接分析,并研究了 DMN 的三个子系统(核心、背内侧前额叶皮层[dMPFC]和内侧颞叶[MTL])内和之间连接的强度。我们还分析了与症状和疾病持续时间的连接相关性。
与对照组相比,精神分裂症患者的核心和 MTL 子系统之间的连接强度降低,而 FES 和 RES 患者组之间无差异;这些发现也在第二个样本中得到了验证。精神分裂症患者的 MTL 内部和 dMPFC-MTL 子系统之间的连接强度也显著降低,FES 和 RES 组之间相似。核心子系统的连接强度与精神分裂症的临床症状呈负相关。DMN 子系统连接与疾病持续时间之间无显著相关性。
DMN 子系统连接缺陷存在于精神分裂症中,其出现的同现性表明这些改变具有特质性。DMN 缺陷可能有助于早期诊断,而 MTL 功能障碍可能是精神分裂症的关键机制。