Léger Simon, Guinard Christian, Singh Selena, Becker Suzanna, Cunningham Jasmyn E A, Alda Martin, Newman Aaron J, Trappenberg Thomas, Nunes Abraham
Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada.
Faculty of Computer Science, Dalhousie University, Halifax, Nova Scotia, Canada.
Brain Behav. 2025 Jun;15(6):e70303. doi: 10.1002/brb3.70303.
Mnemonic discrimination (MD) involves distinguishing new stimuli from highly similar memories; it is impaired in the elderly and individuals with neuropsychiatric disorders and may also probe hippocampal dentate gyrus function. Measuring MD is, therefore, highly relevant; however, the gold-standard MD test, the mnemonic similarity task (MST), is rarely used in clinical research. Thus, it would be useful to develop a novel MD index applicable to recognition memory tasks that are commonly used in clinical research. The present study develops such a measure and demonstrates its convergent validity with the gold-standard MD index from the MST.
We derived participant-level indices of MD (λ) and overall recognition memory performance (Δ) by fitting a logistic function to the relationship between stimulus interference and the probability of classifying a stimulus as novel. We then applied these novel measures to two independent MST datasets (N = 18; N = 67) and to simulated MST data. We used linear mixed-effects model to test whether (1) λ predicts the MST's MD measure, the lure discrimination index (LDI), and (2) Δ predicts the MST's overall recognition memory index (REC).
λ predicted LDI (β = 0.76, 95% CI [0.62, 0.91], p < 0.001) but not REC (β = 0.06, 95% CI [-0.03, 0.15], p = 0.197), while Δ predicted REC (β = 0.93, 95% CI [0.83, 1.02], p < 0.001) but not LDI (β = -0.06, 95% CI [-0.20, 0.09], p = 0.438). The λ and Δ indices were statistically independent, although simulations with synthetic data suggest that MD measurement may be compromised if overall recognition memory performance is impaired.
We have developed a novel measure of MD applicable to two-choice recognition memory tasks that use stimuli with continuously varying degrees of similarity. Future studies should further validate this measure using large clinical datasets that include both MD and other recognition memory tasks.
记忆辨别(MD)涉及将新刺激与高度相似的记忆区分开来;在老年人和患有神经精神疾病的个体中,这种能力会受损,并且它也可能用于探究海马齿状回的功能。因此,测量MD具有高度相关性;然而,MD的金标准测试——记忆相似性任务(MST),在临床研究中很少使用。因此,开发一种适用于临床研究中常用的识别记忆任务的新型MD指标将很有用。本研究开发了这样一种测量方法,并证明了它与MST的金标准MD指标具有收敛效度。
我们通过对刺激干扰与将刺激分类为新刺激的概率之间的关系拟合逻辑函数,得出了参与者水平的MD指标(λ)和整体识别记忆表现指标(Δ)。然后,我们将这些新方法应用于两个独立的MST数据集(N = 18;N = 67)以及模拟的MST数据。我们使用线性混合效应模型来检验:(1)λ是否能预测MST的MD测量指标——诱饵辨别指数(LDI),以及(2)Δ是否能预测MST的整体识别记忆指标(REC)。
λ能预测LDI(β = 0.76,95%置信区间[0.62, 0.91],p < 0.001),但不能预测REC(β = 0.06,95%置信区间[-0.03, 0.15],p = 0.197),而Δ能预测REC(β = 0.93,95%置信区间[0.83, 1.02],p < 0.001),但不能预测LDI(β = -0.06,95%置信区间[-0.20, 0.09],p = 0.438)。λ和Δ指标在统计学上是独立的,尽管对合成数据的模拟表明,如果整体识别记忆表现受损,MD测量可能会受到影响。
我们开发了一种适用于二选一识别记忆任务的新型MD测量方法,该任务使用具有连续变化相似程度的刺激。未来的研究应该使用包含MD和其他识别记忆任务的大型临床数据集进一步验证该测量方法。