Department of Psychology, University of Notre Dame, Notre Dame, IN, USA.
Neuropsychol Dev Cogn B Aging Neuropsychol Cogn. 2022 May;29(3):552-576. doi: 10.1080/13825585.2022.2040411. Epub 2022 Feb 21.
Age-related neural dedifferentiation - reductions in the regional specificity and precision of neural representations - is proposed to compromise the ability of older adults to form sufficiently distinct neural representations to support episodic memory encoding. The computational model that spurred investigations of age-related neural dedifferentiation initially characterized this phenomenon as a reduction in the specificity of neural patterns for individual items or stimuli. Most investigations have focused on reductions in neural differentiation for patterns of neural activity associated with category-level information, such as reduced neural selectivity between categories of visual stimuli (e.g., scenes, objects, and faces). Here, I report a novel across-participant pattern similarity analysis method to measure neural distinctiveness for individual stimuli that were presented to participants on a single occasion. Measures of item-level pattern similarity during encoding showed a graded positive subsequent memory effect in younger, with no significant subsequent memory effect in older adults. These results suggest that age-related reductions in the distinctiveness of neural patterns for individual stimuli during age differences in memory encoding. Moreover, a measure of category-level similarity demonstrated a significant subsequent memory effect associated with item recognition (regardless of an object source memory detail), whereas the effect in older was associated with source memory. These results converge with predictions of computational models of dedifferentiation showing age-related reductions in the distinctiveness of neural patterns across multiple levels of representation.
与年龄相关的神经去分化——减少神经表示的区域特异性和精度——被认为会损害老年人形成足够独特的神经表示以支持情景记忆编码的能力。最初促使人们研究与年龄相关的神经去分化的计算模型将这种现象描述为神经模式对单个项目或刺激的特异性降低。大多数研究都集中在与类别水平信息相关的神经活动模式的神经分化减少上,例如视觉刺激(例如场景、物体和面孔)之间的类别神经选择性降低。在这里,我报告了一种新的跨参与者模式相似性分析方法,用于测量在单次呈现给参与者的单个刺激的神经独特性。在编码过程中,项目水平模式相似性的测量结果在年轻参与者中表现出逐渐增加的后续记忆效应,而在年长参与者中则没有显著的后续记忆效应。这些结果表明,在记忆编码的年龄差异中,与年龄相关的个体刺激的神经模式的独特性降低。此外,类别水平相似性的测量结果与项目识别相关的后续记忆效应显著(无论物体来源记忆细节如何),而在年长参与者中,该效应与来源记忆相关。这些结果与去分化计算模型的预测一致,表明与年龄相关的神经模式在多个表示水平上的独特性降低。