Neurophysiology in psychosis: The quest for disease biomarkers.
Neurophysiology in psychosis: The quest for disease biomarkers.
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DOI：
10.1038/s41398-022-01860-x
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发表时间：
2022-03-11
影响因子：
6.8
通讯作者：
Bramon E
中科院分区：
文献类型：
--
作者：
Wang B;Zartaloudi E;Linden JF;Bramon E
精神障碍在人生的某个阶段影响了3%的人口，是导致残疾的主要原因，并给社会带来了巨大的经济负担。精神病的遗传学上的重大突破还没有与对其神经生物学的理解相匹配。通过非侵入性神经生理学工具，特别是脑电获得的感知和认知的生物标记物，为获得机械性见解提供了独特的机会。测量神经生理标记物的技术廉价且无处不在，因此有可能成为一种可用于患者分层的早期治疗方法，从而获得更好的结果。本文综述了精神病的神经生理标记物及其相关发病机制的文献，主要涉及事件相关电位，包括P50/N100感觉门控、失配负波以及N100和P300波形。虽然精神病患者存在几种神经生理缺陷，但还需要更多的研究来研究他们未受影响的亲属和临床高危个体的神经生理标记物。我们需要利用EEG来研究疾病风险的标志，以此作为阐明精神病病因和促进早期发现和治疗的关键步骤。
Psychotic disorders affect 3% of the population at some stage in life, are a leading cause of disability, and impose a great economic burden on society. Major breakthroughs in the genetics of psychosis have not yet been matched by an understanding of its neurobiology. Biomarkers of perception and cognition obtained through non-invasive neurophysiological tools, especially EEG, offer a unique opportunity to gain mechanistic insights. Techniques for measuring neurophysiological markers are inexpensive and ubiquitous, thus having the potential as an accessible tool for patient stratification towards early treatments leading to better outcomes. In this paper, we review the literature on neurophysiological markers for psychosis and their relevant disease mechanisms, mainly covering event-related potentials including P50/N100 sensory gating, mismatch negativity, and the N100 and P300 waveforms. While several neurophysiological deficits are well established in patients with psychosis, more research is needed to study neurophysiological markers in their unaffected relatives and individuals at clinical high risk. We need to harness EEG to investigate markers of disease risk as key steps to elucidate the aetiology of psychosis and facilitate earlier detection and treatment.
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影响因子：
8.8
作者：
Bhat A;Irizar H;Thygesen JH;Kuchenbaecker K;Pain O;Adams RA;Zartaloudi E;Harju-Seppänen J;Austin-Zimmerman I;Wang B;Muir R;Summerfelt A;Du XM;Bruce H;O'Donnell P;Srivastava DP;Friston K;Hong LE;Hall MH;Bramon E
通讯作者：
Bramon E
影响因子：
4.4
作者：
Connolly, PM;Maxwell, C;Siegel, SJ
通讯作者：
Siegel, SJ
影响因子：
6.6
作者：
Charlson, Fiona J.;Ferrari, Alize J.;Whiteford, Harvey A.
通讯作者：
Whiteford, Harvey A.
影响因子：
4.5
作者：
Avissar M;Xie S;Vail B;Lopez-Calderon J;Wang Y;Javitt DC
通讯作者：
Javitt DC
影响因子：
5.3
作者：
Cloutier, Martin;Aigbogun, Myrlene Sanon;Wu, Eric
通讯作者：
Wu, Eric