Department of Brain and Cognition, Leuven Brain Institute, KU Leuven, 3000, Leuven, Belgium.
Leuven Autism Research (LAuRes), KU Leuven, 3000, Leuven, Belgium.
Mol Autism. 2021 Oct 6;12(1):64. doi: 10.1186/s13229-021-00470-6.
According to Bayesian hypotheses, individuals with Autism Spectrum Disorder (ASD) have difficulties making accurate predictions about their environment. In particular, the mechanisms by which they assign precision to predictions or sensory inputs would be suboptimal in ASD. These mechanisms are thought to be mostly mediated by glutamate and GABA. Here, we aimed to shed light on prediction learning in ASD and on its neurobiological correlates.
Twenty-six neurotypical and 26 autistic adults participated in an associative learning task where they had to learn a probabilistic association between a tone and the rotation direction of two dots, in a volatile context. They also took part in magnetic resonance spectroscopy (MRS) measurements to quantify Glx (glutamate and glutamine), GABA + and glutathione in a low-level perceptual region (occipital cortex) and in a higher-level region involved in prediction learning (inferior frontal gyrus).
Neurotypical and autistic adults had their percepts biased by their expectations, and this bias was smaller for individuals with a more atypical sensory sensitivity. Both groups were able to learn the association and to update their beliefs after a change in contingency. Interestingly, the percentage of correct predictions was correlated with the Glx/GABA + ratio in the occipital cortex (positive correlation) and in the right inferior frontal gyrus (negative correlation). In this region, MRS results also showed an increased concentration of Glx in the ASD group compared to the neurotypical group.
We used a quite restrictive approach to select the MR spectra showing a good fit, which led to the exclusion of some MRS datasets and therefore to the reduction of the sample size for certain metabolites/regions.
Autistic adults appeared to have intact abilities to make predictions in this task, in contrast with the Bayesian hypotheses of ASD. Yet, higher ratios of Glx/GABA + in a frontal region were associated with decreased predictive abilities, and ASD individuals tended to have more Glx in this region. This neurobiological difference might contribute to suboptimal predictive mechanisms in ASD in certain contexts.
根据贝叶斯假设,患有自闭症谱系障碍(ASD)的个体在对环境进行准确预测方面存在困难。特别是,他们为预测或感官输入分配精度的机制在 ASD 中可能不太理想。这些机制被认为主要由谷氨酸和 GABA 介导。在这里,我们旨在阐明 ASD 中的预测学习及其神经生物学相关性。
26 名神经典型和 26 名自闭症成年人参加了一项联想学习任务,他们必须在易变的环境中学习声音与两个点的旋转方向之间的概率关联。他们还参加了磁共振波谱(MRS)测量,以量化低水平感知区域(枕叶皮层)和参与预测学习的更高水平区域(下额叶回)中的 Glx(谷氨酸和谷氨酰胺)、GABA+和谷胱甘肽。
神经典型和自闭症成年人的知觉受到期望的影响,而具有更典型感觉敏感性的个体的这种偏差较小。两组都能够学习关联,并在条件变化后更新他们的信念。有趣的是,正确预测的百分比与枕叶皮层(正相关)和右侧下额叶回(负相关)中的 Glx/GABA+比值相关。在该区域,MRS 结果还显示 ASD 组的 Glx 浓度高于神经典型组。
我们使用相当严格的方法来选择拟合良好的 MR 光谱,这导致一些 MRS 数据集被排除在外,因此某些代谢物/区域的样本量减少。
与 ASD 的贝叶斯假设相反,自闭症成年人在这项任务中似乎具有进行预测的完整能力。然而,额叶区域中 Glx/GABA+的更高比值与预测能力下降相关,并且 ASD 个体在该区域中倾向于具有更多的 Glx。这种神经生物学差异可能导致 ASD 患者在某些情况下预测机制不佳。