Department of Psychiatry, University of Rochester Medical Center, 601 Elmwood Ave, Rochester, NY, USA.
Department of Neuroscience, University of Rochester Medical Center, 601 Elmwood Ave, Rochester, NY, USA.
Transl Psychiatry. 2022 Aug 29;12(1):351. doi: 10.1038/s41398-022-02111-9.
The field of psychiatry is far from perfect in predicting which individuals will transition to a psychotic disorder. Here, we argue that visual system assessment can help in this regard. Such assessments have generated medium-to-large group differences with individuals prior to or near the first psychotic episode or have shown little influence of illness duration in larger samples of more chronic patients. For example, self-reported visual perceptual distortions-so-called visual basic symptoms-occur in up to 2/3rds of those with non-affective psychosis and have already longitudinally predicted an impending onset of schizophrenia. Possibly predictive psychophysical markers include enhanced contrast sensitivity, prolonged backward masking, muted collinear facilitation, reduced stereoscopic depth perception, impaired contour and shape integration, and spatially restricted exploratory eye movements. Promising brain-based markers include visual thalamo-cortical hyperconnectivity, decreased occipital gamma band power during visual detection (MEG), and reduced visually evoked occipital P1 amplitudes (EEG). Potentially predictive retinal markers include diminished cone a- and b-wave amplitudes and an attenuated photopic flicker response during electroretinography. The foregoing assessments are often well-described mechanistically, implying that their findings could readily shed light on the underlying pathophysiological changes that precede or accompany a transition to psychosis. The retinal and psychophysical assessments in particular are inexpensive, well-tolerated, easy to administer, and brief, with few inclusion/exclusion criteria. Therefore, across all major levels of analysis-from phenomenology to behavior to brain and retinal functioning-visual system assessment could complement and improve upon existing methods for predicting which individuals go on to develop a psychotic disorder.
精神病学领域远未完善到能够预测哪些个体将转变为精神病。在这里,我们认为视觉系统评估可以为此提供帮助。这些评估已经在个体出现首次精神病发作之前或临近首次精神病发作时产生了中等至较大的组间差异,或者在更大的、更慢性患者样本中显示出疾病持续时间的影响较小。例如,自我报告的视觉感知扭曲,即所谓的视觉基本症状,在多达 2/3 的非情感性精神病患者中出现,并且已经纵向预测了精神分裂症的即将发作。可能具有预测性的心理物理标志物包括增强的对比敏感度、延长的后向掩蔽、减弱的共线促进、立体深度知觉受损、轮廓和形状整合受损以及空间受限的探索性眼球运动。有前途的基于大脑的标志物包括视觉丘脑-皮质过度连接、视觉检测期间枕部伽马波段功率降低(MEG)以及视觉诱发的枕部 P1 幅度降低(EEG)。潜在的预测性视网膜标志物包括在视网膜电图中锥体 a 和 b 波幅度降低以及光幻视闪烁反应减弱。上述评估通常具有很好的机制描述,这意味着它们的发现可以很容易地揭示在向精神病转变之前或伴随的潜在病理生理变化。特别是视网膜和心理物理评估具有成本效益高、耐受性好、易于管理和简短、纳入/排除标准少等特点。因此,在所有主要的分析水平上,从现象学到行为再到大脑和视网膜功能,视觉系统评估可以补充和改进现有的预测哪些个体将发展为精神病的方法。