Nastase Samuel, Iacovella Vittorio, Hasson Uri
Center for Mind/Brain Sciences (CIMeC), The University of Trento, Rovereto (TN), Italy.
Hum Brain Mapp. 2014 Apr;35(4):1111-28. doi: 10.1002/hbm.22238. Epub 2013 Feb 13.
Coding for the degree of disorder in a temporally unfolding sensory input allows for optimized encoding of these inputs via information compression and predictive processing. Prior neuroimaging work has examined sensitivity to statistical regularities within single sensory modalities and has associated this function with the hippocampus, anterior cingulate, and lateral temporal cortex. Here we investigated to what extent sensitivity to input disorder, quantified by Markov entropy, is subserved by modality-general or modality-specific neural systems when participants are not required to monitor the input. Participants were presented with rapid (3.3 Hz) auditory and visual series varying over four levels of entropy, while monitoring an infrequently changing fixation cross. For visual series, sensitivity to the magnitude of disorder was found in early visual cortex, the anterior cingulate, and the intraparietal sulcus. For auditory series, sensitivity was found in inferior frontal, lateral temporal, and supplementary motor regions implicated in speech perception and sequencing. Ventral premotor and central cingulate cortices were identified as possible candidates for modality-general uncertainty processing, exhibiting marginal sensitivity to disorder in both modalities. The right temporal pole differentiated the highest and lowest levels of disorder in both modalities, but did not show general sensitivity to the parametric manipulation of disorder. Our results indicate that neural sensitivity to input disorder relies largely on modality-specific systems embedded in extended sensory cortices, though uncertainty-related processing in frontal regions may be driven by both input modalities.
对随时间展开的感觉输入中的紊乱程度进行编码,可通过信息压缩和预测处理实现对这些输入的优化编码。先前的神经影像学研究考察了对单一感觉模态内统计规律的敏感性,并将此功能与海马体、前扣带回和颞叶外侧皮质联系起来。在此,我们研究了在参与者无需监测输入的情况下,由马尔可夫熵量化的对输入紊乱的敏感性在多大程度上由模态通用或模态特定的神经系统支持。向参与者呈现快速(3.3赫兹)的听觉和视觉序列,这些序列在四个熵水平上变化,同时监测一个很少变化的注视十字。对于视觉序列,在早期视觉皮质、前扣带回和顶内沟发现了对紊乱程度的敏感性。对于听觉序列,在与语音感知和序列相关的额下回、颞叶外侧和辅助运动区域发现了敏感性。腹侧运动前区和中央扣带回皮质被确定为模态通用不确定性处理的可能候选区域,在两种模态中均表现出对紊乱的边际敏感性。右侧颞极区分了两种模态中最高和最低的紊乱水平,但未显示出对紊乱参数操作的一般敏感性。我们的结果表明,神经对输入紊乱的敏感性很大程度上依赖于嵌入在扩展感觉皮质中的模态特定系统,尽管额叶区域中与不确定性相关的处理可能由两种输入模态驱动。