Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, Team "Pathophysiology of psychiatric disorders", GDR 3557-Institut de Psychiatrie, 102-108 Rue de la Santé, Paris, 75014, France.
GHU Paris Psychiatrie et Neurosciences, Pôle Hospitalo-Universitaire d'évaluation, Prévention, et Innovation Thérapeutique (PEPIT), Paris, France.
BMC Psychiatry. 2023 Nov 21;23(1):860. doi: 10.1186/s12888-023-05347-x.
Quantitative electroencephalography (EEG) analysis offers the opportunity to study high-level cognitive processes across psychiatric disorders. In particular, EEG microstates translate the temporal dynamics of neuronal networks throughout the brain. Their alteration may reflect transdiagnostic anomalies in neurophysiological functions that are impaired in mood, psychosis, and autism spectrum disorders, such as sensorimotor integration, speech, sleep, and sense of self. The main questions this study aims to answer are as follows: 1) Are EEG microstate anomalies associated with clinical and functional prognosis, both in resting conditions and during sleep, across psychiatric disorders? 2) Are EEG microstate anomalies associated with differences in sensorimotor integration, speech, sense of self, and sleep? 3) Can the dynamic of EEG microstates be modulated by a non-drug intervention such as light hypnosis?
This prospective cohort will include a population of adolescents and young adults, aged 15 to 30 years old, with ultra-high-risk of psychosis (UHR), first-episode psychosis (FEP), schizophrenia (SCZ), autism spectrum disorder (ASD), and major depressive disorder (MDD), as well as healthy controls (CTRL) (N = 21 × 6), who will be assessed at baseline and after one year of follow-up. Participants will undergo deep phenotyping based on psychopathology, neuropsychological assessments, 64-channel EEG recordings, and biological sampling at the two timepoints. At baseline, the EEG recording will also be coupled to a sensorimotor task and a recording of the characteristics of their speech (prosody and turn-taking), a one-night polysomnography, a self-reference effect task in virtual reality (only in UHR, FEP, and CTRL). An interventional ancillary study will involve only healthy controls, in order to assess whether light hypnosis can modify the EEG microstate architecture in a direction opposite to what is seen in disease.
This transdiagnostic longitudinal case-control study will provide a multimodal neurophysiological assessment of clinical dimensions (sensorimotor integration, speech, sleep, and sense of self) that are disrupted across mood, psychosis, and autism spectrum disorders. It will further test the relevance of EEG microstates as dimensional functional biomarkers.
ClinicalTrials.gov Identifier NCT06045897.
定量脑电图(EEG)分析提供了研究精神障碍全脑高级认知过程的机会。特别是,EEG 微观状态转换了整个大脑中神经元网络的时间动态。它们的改变可能反映了在情绪、精神病和自闭症谱系障碍中受损的神经生理功能的跨诊断异常,例如感觉运动整合、言语、睡眠和自我意识。本研究旨在回答以下主要问题:1)EEG 微观状态异常是否与精神障碍的静息状态和睡眠期间的临床和功能预后相关?2)EEG 微观状态异常是否与感觉运动整合、言语、自我意识和睡眠的差异相关?3)非药物干预(如光催眠)能否调节 EEG 微观状态的动态?
这项前瞻性队列研究将包括一组年龄在 15 至 30 岁的超高风险精神病(UHR)、首发精神病(FEP)、精神分裂症(SCZ)、自闭症谱系障碍(ASD)和重度抑郁症(MDD)的青少年和年轻成年人,以及健康对照组(CTRL)(N=21×6),他们将在基线和一年的随访后进行评估。参与者将根据精神病学、神经心理学评估、64 通道 EEG 记录和两个时间点的生物样本进行深度表型分析。在基线时,EEG 记录还将与感觉运动任务和他们的言语特征(韵律和轮流)记录、一夜多导睡眠图、虚拟现实中的自我参照效应任务(仅在 UHR、FEP 和 CTRL 中)耦合。一项干预性辅助研究仅涉及健康对照组,以评估光催眠是否可以朝着与疾病相反的方向改变 EEG 微观状态结构。
这项跨诊断纵向病例对照研究将提供一种多模态神经生理学评估,用于评估情绪、精神病和自闭症谱系障碍中受损的临床维度(感觉运动整合、言语、睡眠和自我意识)。它将进一步测试 EEG 微观状态作为维度功能生物标志物的相关性。
ClinicalTrials.gov 标识符 NCT06045897。