Resting-state electroencephalogram in drug-free subjects with at-risk mental states who later developed psychosis: a low-resolution electromagnetic tomography analysis

IF 2.4 3区 医学 Q3 NEUROSCIENCES Frontiers in Human Neuroscience Pub Date : 2024-08-27 DOI:10.3389/fnhum.2024.1449820
Yuko Higuchi, Shizuka Odagiri, Takahiro Tateno, Michio Suzuki, Tsutomu Takahashi
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Abstract

Background and objectivesSeveral studies have reported on the resting-state electroencephalogram (EEG) power in patients with schizophrenia, with a decrease in α (especially α2) and an increase in δ and β1 power compared with healthy control; however, reports on at-risk mental states (ARMS) are few. In this study, we measured the resting-state EEG power in ARMS, and investigated its features and the relationship between the power of the frequency bands and their diagnostic outcomes.MethodsPatients with ARMS who were not on any psychotropic medication and met the Comprehensive Assessment of At-Risk Mental State criteria were included. Patients who developed psychotic disorders were labeled as the ARMS-P group, while patients with ARMS who were followed up prospectively for more than 2 years and did not develop psychotic disorders were classified as the ARMS-NP group. EEGs were measured in the resting state, and frequencies were analyzed using standardized low-resolution brain electromagnetic tomography (sLORETA). Seven bands (δ, θ, α1, α2, β1–3) underwent analysis. The sLORETA values (current source density [CSD]) were compared between the ARMS-P and ARMS-NP groups. Clinical symptoms were assessed at the time of EEG measurements using the Positive and Negative Syndrome Scale (PANSS).ResultsOf the 39 patients included (25 males, 14 females, 18.8 ± 4.5 years old), eight developed psychotic disorders (ARMS-P). The ARMS-P group exhibited significantly higher CSD in the β1 power within areas of the left middle frontal gyrus (MFG) compared with the ARMS-NP group (best match: X = −35, Y = 25, Z = 50 [MNI coordinates], Area 8, CSD = 2.33, p < 0.05). There was a significant positive correlation between the β1/α ratio of the CSD at left MFG and the Somatic concern score measured by the PANSS.DiscussionIncreased β1 power was observed in the resting EEG before the onset of psychosis and correlated with a symptom. This suggests that resting EEG power may be a useful marker for predicting future conversion to psychosis and clinical symptoms in patients with ARMS.
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后来患上精神病的无药高危精神状态受试者的静息状态脑电图:低分辨率电磁断层扫描分析
背景和目的已有多项研究报道了精神分裂症患者的静息状态脑电图(EEG)功率,与健康对照组相比,精神分裂症患者的α(尤其是α2)功率下降,δ和β1功率上升;然而,有关高危精神状态(ARMS)的报道却很少。在这项研究中,我们测量了 ARMS 患者的静息态脑电图功率,并研究了其特征及其频带功率与诊断结果之间的关系。方法纳入未服用任何精神药物且符合高危精神状态综合评估标准的 ARMS 患者。出现精神障碍的患者被称为ARMS-P组,而接受2年以上前瞻性随访且未出现精神障碍的ARMS患者被称为ARMS-NP组。在静息状态下测量脑电图,并使用标准化低分辨率脑电磁断层扫描(sLORETA)分析频率。对七个频带(δ、θ、α1、α2、β1-3)进行了分析。对 ARMS-P 组和 ARMS-NP 组的 sLORETA 值(电流源密度 [CSD])进行了比较。结果 在 39 名患者(25 名男性,14 名女性,18.8 ± 4.5 岁)中,有 8 名患者出现了精神障碍(ARMS-P)。与 ARMS-NP 组相比,ARMS-P 组患者左侧额中回(MFG)区域内 β1 功率的 CSD 明显更高(最佳匹配度:X = -35, Y = 25):X = -35,Y = 25,Z = 50 [MNI坐标],第8区,CSD = 2.33,p < 0.05)。讨论在精神病发作前的静息脑电图中观察到β1功率增加,并与症状相关。这表明静息脑电图功率可能是预测ARMS患者未来转为精神病和临床症状的有用标记。
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来源期刊
Frontiers in Human Neuroscience
Frontiers in Human Neuroscience 医学-神经科学
CiteScore
4.70
自引率
6.90%
发文量
830
审稿时长
2-4 weeks
期刊介绍: Frontiers in Human Neuroscience is a first-tier electronic journal devoted to understanding the brain mechanisms supporting cognitive and social behavior in humans, and how these mechanisms might be altered in disease states. The last 25 years have seen an explosive growth in both the methods and the theoretical constructs available to study the human brain. Advances in electrophysiological, neuroimaging, neuropsychological, psychophysical, neuropharmacological and computational approaches have provided key insights into the mechanisms of a broad range of human behaviors in both health and disease. Work in human neuroscience ranges from the cognitive domain, including areas such as memory, attention, language and perception to the social domain, with this last subject addressing topics, such as interpersonal interactions, social discourse and emotional regulation. How these processes unfold during development, mature in adulthood and often decline in aging, and how they are altered in a host of developmental, neurological and psychiatric disorders, has become increasingly amenable to human neuroscience research approaches. Work in human neuroscience has influenced many areas of inquiry ranging from social and cognitive psychology to economics, law and public policy. Accordingly, our journal will provide a forum for human research spanning all areas of human cognitive, social, developmental and translational neuroscience using any research approach.
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