Dipartimento di Psicologia, Alma Mater Studiorum - Università di Bologna, Centro Studi e Ricerche in Neuroscienze Cognitive, Campus di Cesena, via Rasi e Spinelli, 176, 47521 Cesena, Italy.
Laboratorio di Neurofisiologia, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, via pilastroni, 4, 25125 Brescia, Italy.
Schizophr Bull. 2023 Sep 7;49(5):1294-1304. doi: 10.1093/schbul/sbad105.
Humans develop a constellation of different representations of the external environment, even in the face of the same sensory exposure. According to the Bayesian framework, these differentiations could be grounded in a different weight assigned to prior knowledge vs. new external inputs in predictive inference. Since recent advances in computational psychiatry suggest that autism (ASD) and schizophrenia (SSD) lie on the two diametric poles of the same predictive continuum, the adoption of a specific inferential style could be routed by dispositional factors related to autistic and schizotypal traits. However, no studies have directly investigated the role of ASD-SSD dimension in shaping the neuro-behavioral markers underlying perceptual inference.
We used a probabilistic detection task while simultaneously recording EEG to investigate whether neurobehavioral signatures related to prior processing were diametrically shaped by ASD and SSD traits in the general population (n = 80).
We found that the position along the ASD-SSD continuum directed the predictive strategies adopted by the individuals in decision-making. While proximity to the positive schizotypy pole was associated with the adoption of the predictive approach associated to the hyper-weighting of prior knowledge, proximity to ASD pole was related to strategies that favored sensory evidence in decision-making.
These findings revealed that the weight assigned to prior knowledge is a marker of the ASD-SSD continuum, potentially useful for identifying individuals at-risk of developing mental disorders and for understanding the mechanisms contributing to the onset of symptoms observed in ASD and SSD clinical forms.
即使面对相同的感官刺激,人类也会对外界环境形成不同的表象。根据贝叶斯框架,这些差异可能源于预测推理中对先验知识和新外部输入的不同权重赋值。由于计算精神病学的最新进展表明,自闭症(ASD)和精神分裂症(SSD)处于同一预测连续体的两个极端,因此特定的推理风格可能受到与自闭症和精神分裂症特质相关的性格因素的影响。然而,尚无研究直接探讨 ASD-SSD 维度在塑造感知推理的神经行为标志物中的作用。
我们使用概率检测任务,同时记录 EEG,以研究一般人群(n = 80)中的 ASD 和 SSD 特质是否会对角地塑造与先验处理相关的神经行为特征。
我们发现,沿着 ASD-SSD 连续体的位置决定了个体在决策中采用的预测策略。当接近正精神分裂症特质极点时,与过度重视先验知识的预测方法相关的策略被采用,而接近 ASD 极点时,与在决策中更倾向于感官证据的策略相关。
这些发现表明,先验知识的权重是 ASD-SSD 连续体的一个标志物,对于识别有发展为精神障碍风险的个体以及理解导致 ASD 和 SSD 临床形式出现的症状的机制可能很有用。