McNamara Patrick
Department of Psychology, National University, San Diego, CA, United States.
Department of Neurology, Boston University School of Medicine, Boston, MA, United States.
Front Psychiatry. 2025 Aug 28;16:1625811. doi: 10.3389/fpsyt.2025.1625811. eCollection 2025.
I present a provisional model and promising evidence, pending robust longitudinal validation, for the possibility of prodromal dreams: dreams that predict onset of illness before overt symptoms appear. Interoceptive signals are compressed and summated/integrated within brain networks that are most highly active during REM sleep. If there is a bodily problem an error signal is generated and the brain then attempts to infer a cause or explanation for the distortions in the bodily image. It is this picture or updated model of the body (which attempts to depict or explain the distortions or errors in bodily senses) which I suggest then gets depicted in dreams. Prediction error can be remedied either via active inference leading to corrective action, or by model updating-generating models that explain away the error. I suggest that the depiction of the cause of the predictive error (bodily distortions) emerges in dreams (typically with picture language or metaphor) and thus can be interpreted to help diagnose emerging illnesses. The active inference portion of the model updating process on the other hand will depict potential solutions to the predictive error and if this information emerges in dreams these dreams might plausibly contain information to ameliorate/treat the causes of the bodily distortions.
我提出了一个初步模型和有前景的证据,有待进行有力的纵向验证,以探讨前驱梦境的可能性:即那些在明显症状出现之前就能预测疾病发作的梦境。内感受信号在快速眼动睡眠期间最活跃的大脑网络中被压缩并累加/整合。如果身体出现问题,就会产生一个错误信号,然后大脑会试图推断身体意象扭曲的原因或解释。我认为,正是这种身体的图像或更新后的模型(试图描绘或解释身体感觉中的扭曲或错误)随后会在梦中呈现出来。预测误差可以通过导致纠正行动的主动推理来纠正,也可以通过模型更新——生成解释误差的模型来纠正。我认为,预测误差(身体扭曲)的原因会在梦中呈现(通常用图像语言或隐喻),因此可以通过解读来帮助诊断正在出现的疾病。另一方面,模型更新过程中的主动推理部分会呈现预测误差的潜在解决方案,如果这些信息出现在梦中,那么这些梦可能合理地包含改善/治疗身体扭曲原因的信息。