Pons-to-Cerebellum Hypoconnectivity Along the Psychosis Spectrum and Associations With Sensory Prediction and Hallucinations in Schizophrenia

IF 5.7 2区 医学 Q1 NEUROSCIENCES Biological Psychiatry-Cognitive Neuroscience and Neuroimaging Pub Date : 2024-07-01 DOI:10.1016/j.bpsc.2024.01.010
Samantha V. Abram , Jessica P.Y. Hua , Spero Nicholas , Brian Roach , Sarah Keedy , John A. Sweeney , Daniel H. Mathalon , Judith M. Ford
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Abstract

Background

Sensory prediction allows the brain to anticipate and parse incoming self-generated sensory information from externally generated signals. Sensory prediction breakdowns may contribute to perceptual and agency abnormalities in psychosis (hallucinations, delusions). The pons, a central node in a cortico-ponto-cerebellar-thalamo-cortical circuit, is thought to support sensory prediction. Examination of pons connectivity in schizophrenia and its role in sensory prediction abnormalities is lacking.

Methods

We examined these relationships using resting-state functional magnetic resonance imaging and the electroencephalography-based auditory N1 event-related potential in 143 participants with psychotic spectrum disorders (PSPs) (with schizophrenia, schizoaffective disorder, or bipolar disorder); 63 first-degree relatives of individuals with psychosis; 45 people at clinical high risk for psychosis; and 124 unaffected comparison participants. This unique sample allowed examination across the psychosis spectrum and illness trajectory. Seeding from the pons, we extracted average connectivity values from thalamic and cerebellar clusters showing differences between PSPs and unaffected comparison participants. We predicted N1 amplitude attenuation during a vocalization task from pons connectivity and group membership. We correlated participant-level connectivity in PSPs and people at clinical high risk for psychosis with hallucination and delusion severity.

Results

Compared to unaffected comparison participants, PSPs showed pons hypoconnectivity to 2 cerebellar clusters, and first-degree relatives of individuals with psychosis showed hypoconnectivity to 1 of these clusters. Pons-to-cerebellum connectivity was positively correlated with N1 attenuation; only PSPs with heightened pons-to-postcentral gyrus connectivity showed this pattern, suggesting a possible compensatory mechanism. Pons-to-cerebellum hypoconnectivity was correlated with greater hallucination severity specifically among PSPs with schizophrenia.

Conclusions

Deficient pons-to-cerebellum connectivity linked sensory prediction network breakdowns with perceptual abnormalities in schizophrenia. Findings highlight shared features and clinical heterogeneity across the psychosis spectrum.

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精神分裂症谱系中的桥脑-小脑低连接性以及与感觉预测和幻觉的关系
背景:感官预测使大脑能够从外部产生的信号中预测和解析传入的自身感官信息。感官预测失灵可能会导致精神病(幻觉、妄想)中的感知和代理异常。大脑皮质-小脑-丘脑-皮质回路中的一个中心节点--脑桥被认为支持感觉预测。目前还缺乏对精神分裂症患者脑桥连通性及其在感觉预测异常中所起作用的研究:我们使用静息态 fMRI 和基于脑电图的听觉 N1 事件相关电位对 143 名精神病谱系障碍参与者(精神分裂症、情感分裂症或双相情感障碍的 PSP)、63 名精神病患者的一级亲属 (REL)、45 名精神病临床高危人群 (CHR-P) 和 124 名未受影响的对比参与者 (UCP) 进行了研究。这一独特的样本允许对整个精神病谱系和疾病轨迹进行研究。我们从丘脑和小脑簇中提取平均连接值,发现了 PSP 与 UCP 的差异。我们根据脑桥连通性和群体成员身份预测了发声任务中的 N1 振幅衰减。我们将参与者水平的PSP和CHR-P连接与幻觉和妄想的严重程度相关联:结果:与 UCP 相比,PSP 患者的脑桥与两个小脑簇的连接性减弱,而 REL 患者的脑桥与其中一个小脑簇的连接性减弱。桥脑到小脑的连通性与N1衰减呈正相关;只有桥脑到中央后回连通性增强的PSP才表现出这种模式,这表明可能存在一种补偿机制。特别是在患有精神分裂症的PSP患者中,桥脑与小脑的低连接性与更多的幻觉相关:结论:小脑与桥脑的连接缺陷将精神分裂症患者的感觉预测网络断裂与知觉异常联系在一起。研究结果凸显了整个精神病谱系的共同特征和临床异质性。
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来源期刊
CiteScore
10.40
自引率
1.70%
发文量
247
审稿时长
30 days
期刊介绍: Biological Psychiatry: Cognitive Neuroscience and Neuroimaging is an official journal of the Society for Biological Psychiatry, whose purpose is to promote excellence in scientific research and education in fields that investigate the nature, causes, mechanisms, and treatments of disorders of thought, emotion, or behavior. In accord with this mission, this peer-reviewed, rapid-publication, international journal focuses on studies using the tools and constructs of cognitive neuroscience, including the full range of non-invasive neuroimaging and human extra- and intracranial physiological recording methodologies. It publishes both basic and clinical studies, including those that incorporate genetic data, pharmacological challenges, and computational modeling approaches. The journal publishes novel results of original research which represent an important new lead or significant impact on the field. Reviews and commentaries that focus on topics of current research and interest are also encouraged.
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