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Research Article

Using recognition testing to support semantic learning in developmental amnesia

ORCID Icon, , ORCID Icon, & ORCID Icon
Received 13 Mar 2023, Accepted 16 Oct 2023, Published online: 10 Nov 2023

Figures & data

Figure 1. Reproduced from Elward and Vargha-Khadem (Citation2018). Data from two studies designed to investigate semantic learning in DA. Recall Learning (top panel): Participants complete six recall tests during learning. The cued recall test (highlighted with a box) indicates that participants did not show good learning with this method. Recognition Learning (bottom panel): Participants complete recognition tests during learning. In this case, performance on the cued recall test (highlighted with a box) was similar to controls.

A comparison of two datasets. The top graph shows data from a recall learning paradigm using written text and audio. The bottom graph shows data from a recognition learning paradigm using videos. The key comparison is highlighted – recognition learning leads to better recall performance after a delay than recall learning.
Figure 1. Reproduced from Elward and Vargha-Khadem (Citation2018). Data from two studies designed to investigate semantic learning in DA. Recall Learning (top panel): Participants complete six recall tests during learning. The cued recall test (highlighted with a box) indicates that participants did not show good learning with this method. Recognition Learning (bottom panel): Participants complete recognition tests during learning. In this case, performance on the cued recall test (highlighted with a box) was similar to controls.

Table 1. Neuropsychological assessment results of patient H.

Figure 2. Manual segmentation of the hippocampus. Top: 3T-MRI scan of a 14-year-old male control participant (left) alongside Patient H (right) showing the reduced volume of the subicular complex (in green) and CA-DG region in (orange). Bottom. ICV-corrected hippocampal volumes for Patient H compared with 32 healthy controls (8y – 38y; 16male) indicating a 34% volume atrophy of the hippocampus.

Top: A coronal section of a T1-weighted MRI scan. Manual segmentation of hippocampal subregions highlights reduced volumes in the patient compared to a control. Below Left: Hippocampal volume of a control participant is plotted beside the volume from the patient. Below Right, ICV-corrected volumes of hippocampal subregions are plotted to show reduced volumes in the patient compared to controls.
Figure 2. Manual segmentation of the hippocampus. Top: 3T-MRI scan of a 14-year-old male control participant (left) alongside Patient H (right) showing the reduced volume of the subicular complex (in green) and CA-DG region in (orange). Bottom. ICV-corrected hippocampal volumes for Patient H compared with 32 healthy controls (8y – 38y; 16male) indicating a 34% volume atrophy of the hippocampus.

Table 2. Crawford’s Bayesian test for single case assessment (Crawford & Garthwaite, Citation2007) to identify significant differences between patient to the controls on IQ and CMS test scores.

Table 3. Overview of the test procedures over three weeks.

Figure 3. Schematic of the protocols.

A schematic of the paradigm. The learning phase is split into two sections, recall-based learning and recognition-based learning. Below, the test phase is represented as showing three stages; a free recall test, a cued recall test and a recognition test.
Figure 3. Schematic of the protocols.

Figure 4. Mean memory performance across the two learning conditions. Error bars indicate 1+/- the standard error of the mean. The outcomes of the case-control statistical tests are indicated with symbols, *p < 0.05, **p < 0.01, ***p < 0.001.

Two line graphs indicating the rate of learning in the recall learning condition and the recognition learning condition.
Figure 4. Mean memory performance across the two learning conditions. Error bars indicate 1+/- the standard error of the mean. The outcomes of the case-control statistical tests are indicated with symbols, *p < 0.05, **p < 0.01, ***p < 0.001.

Figure 5. Memory performance in the 15-Minute Delayed Test following recall learning (left panel) and recognition learning (right panel). The outcomes of the case-control statistical tests are indicated with symbols, *p < 0.05, **p < 0.01, ***p < 0.001.

Two graphs showing performance in the 15-minute delayed test.
Figure 5. Memory performance in the 15-Minute Delayed Test following recall learning (left panel) and recognition learning (right panel). The outcomes of the case-control statistical tests are indicated with symbols, *p < 0.05, **p < 0.01, ***p < 0.001.

Figure 6. Memory performance in the 1-week Delayed Test. The outcomes of the case-control statistical tests are indicated with symbols, *p < 0.05, **p < 0.01, ***p < 0.001.

Two graphs showing performance in the one-week delayed test.
Figure 6. Memory performance in the 1-week Delayed Test. The outcomes of the case-control statistical tests are indicated with symbols, *p < 0.05, **p < 0.01, ***p < 0.001.
Supplemental material

NSL_Paper_SupplementaryMaterials.docx

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Data availability

Data and analysis code are available on the Open Science Framework. https://doi.org/10.17605/OSF.IO/KS3MQ.