Gamma-band network segregation links corollary discharge dysfunction and anomalous self-experiences in schizophrenia

IF 3.7 2区 医学 Q1 PSYCHIATRY
Schizophrenia Research Pub Date : 2026-12-01 Epub Date: 2026-10-22 DOI:10.1016/j.schres.2026.09.038
Rosa M. Beño-Ruiz-de-la-Sierra, Antonio Arjona-Valladares, Emma Osorio-Iriarte, Luis Sobrino-Conde, Víctor Rodríguez, Pablo Núñez, Jesús Poza, Alejandro Roig-Herrero, Álvaro Díez, Vicente Molina
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引用次数: 0

Abstract

Anomalous self-experiences (ASEs) are a core feature of psychotic disorders and reflect disturbances in ipseity. Impairments in corollary discharge mechanism have been proposed as a neurobiological substrate of ASEs, and an imbalance between brain network integration and segregation, may impair the coherent flow of mental contents, thereby disrupting their fluid and implicit character. However, the relationship between corollary discharge and functional network properties has not been directly examined. This link was assessed in thirty participants with schizophrenia and thirty healthy controls. Functional network was computed using the Phase Locking Value (PLV) from resting-state EEG in the gamma band and two parameters were calculated: the clustering coefficient (ClC, as a proxy for segregation) and the path length (PL, as a proxy for integration); corollary discharge was indexed by N1 suppression in a talk–listen paradigm; and ASEs were evaluated using the ‘Inventory of Psychotic-Like Anomalous Self-Experiences’ (IPASE) total score. Patients with schizophrenia showed significantly greater gamma-band network segregation and lower integration than healthy controls. Moreover, higher segregation in this band was associated with reduced N1 suppression and greater ASEs severity in patients, whereas network integration was not associated with N1 suppression nor ASEs. These findings suggest that excessive gamma-band network segregation may be correlated with disrupted corollary discharge functioning and may compromise the distinction between self-generated and external stimuli. Therefore, it may alter the sense of ipseity by interfering with the integration of mental contents into the flow of consciousness, thereby contributing to greater severity of ASEs.
γ频带网络分离与精神分裂症的必然放电功能障碍和异常自我体验有关。
异常自我体验(ASEs)是精神障碍的核心特征,反映了精神障碍。必然放电机制的损伤被认为是as的神经生物学基础,而脑网络整合和分离之间的不平衡可能会损害心理内容的连贯流动,从而破坏其流动性和内隐性。然而,必然放电与功能网络性质之间的关系尚未得到直接研究。在30名精神分裂症患者和30名健康对照者中评估了这种联系。利用静息状态脑电伽马波段的锁相值(PLV)计算功能网络,并计算两个参数:聚类系数(ClC,代表分离)和路径长度(PL,代表整合);说-听模式下的推论放电以N1抑制为指标;使用“类精神病性异常自我体验量表”(IPASE)总分对其进行评估。与健康对照相比,精神分裂症患者表现出更大的γ频带网络分离和更低的整合。此外,该频带的隔离程度越高,患者的N1抑制程度越低,ASEs的严重程度越高,而网络整合与N1抑制和ase均无关联。这些发现表明,过度的伽玛频带网络隔离可能与中断的必然放电功能有关,并可能损害自我产生和外部刺激之间的区别。因此,它可能通过干扰精神内容与意识流的整合来改变麻木感,从而导致更严重的as。
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来源期刊
Schizophrenia Research
Schizophrenia Research 医学-精神病学
CiteScore
7.50
自引率
8.90%
发文量
429
审稿时长
10.2 weeks
期刊介绍: As official journal of the Schizophrenia International Research Society (SIRS) Schizophrenia Research is THE journal of choice for international researchers and clinicians to share their work with the global schizophrenia research community. More than 6000 institutes have online or print (or both) access to this journal - the largest specialist journal in the field, with the largest readership! Schizophrenia Research''s time to first decision is as fast as 6 weeks and its publishing speed is as fast as 4 weeks until online publication (corrected proof/Article in Press) after acceptance and 14 weeks from acceptance until publication in a printed issue. The journal publishes novel papers that really contribute to understanding the biology and treatment of schizophrenic disorders; Schizophrenia Research brings together biological, clinical and psychological research in order to stimulate the synthesis of findings from all disciplines involved in improving patient outcomes in schizophrenia.
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