Separation of memory span and learning rate: evidence from behavior and spontaneous brain activity in older adults
Objective: It is unclear how the ability to initially acquire information in a first learning trial relates to learning rate in subsequent repeated trials. The separation of memory span and learning rate is an important psychological dilemma that remains unaddressed. Given the potential effects of aging on memory and learning, this study investigated behavior and spontaneous brain activity in adults in the context of memory span and learning rate.
Method: We enrolled a total of 758 participants, including 707 healthy older adults and 51 mild cognitive impairment (MCI) patients. Sixty-five participants out of 707 completed resting-state functional magnetic resonance imaging (fMRI) scanning.
Results: Behaviorally, memory span and learning rate were not correlated with each other in the paired-associative learning test (PALT) but were negatively correlated in the auditory verbal learning test (AVLT). This indicated that the relationship between memory span and learning rate for item memory might be differentially affected by aging. Interaction analysis confirmed that these two capacities were differentially affected by test type (associative memory vs. item memory). Additionally, at the level of brain activity, distinct directions of correlation coefficients and brain regions for memory span and learning rate were detected using correlation analysis between behavioral performance and spontaneous brain activity. Regarding pathological aging, none of the correlations between memory span and learning rate were significant in either PALT or AVLT in MCI.
Conclusion: This study provides novel evidence for the dissociation of memory span and learning rate at behavioral and brain activity levels, which may have useful applications in detecting cognitive deficits or conducting cognitive interventions.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
This is a list of supplementary files associated with this preprint. Click to download.
Posted 17 Sep, 2020
Invitations sent on 22 Sep, 2020
On 15 Sep, 2020
On 14 Sep, 2020
On 14 Sep, 2020
On 14 Sep, 2020
Separation of memory span and learning rate: evidence from behavior and spontaneous brain activity in older adults
Posted 17 Sep, 2020
Invitations sent on 22 Sep, 2020
On 15 Sep, 2020
On 14 Sep, 2020
On 14 Sep, 2020
On 14 Sep, 2020
Objective: It is unclear how the ability to initially acquire information in a first learning trial relates to learning rate in subsequent repeated trials. The separation of memory span and learning rate is an important psychological dilemma that remains unaddressed. Given the potential effects of aging on memory and learning, this study investigated behavior and spontaneous brain activity in adults in the context of memory span and learning rate.
Method: We enrolled a total of 758 participants, including 707 healthy older adults and 51 mild cognitive impairment (MCI) patients. Sixty-five participants out of 707 completed resting-state functional magnetic resonance imaging (fMRI) scanning.
Results: Behaviorally, memory span and learning rate were not correlated with each other in the paired-associative learning test (PALT) but were negatively correlated in the auditory verbal learning test (AVLT). This indicated that the relationship between memory span and learning rate for item memory might be differentially affected by aging. Interaction analysis confirmed that these two capacities were differentially affected by test type (associative memory vs. item memory). Additionally, at the level of brain activity, distinct directions of correlation coefficients and brain regions for memory span and learning rate were detected using correlation analysis between behavioral performance and spontaneous brain activity. Regarding pathological aging, none of the correlations between memory span and learning rate were significant in either PALT or AVLT in MCI.
Conclusion: This study provides novel evidence for the dissociation of memory span and learning rate at behavioral and brain activity levels, which may have useful applications in detecting cognitive deficits or conducting cognitive interventions.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5