Exercise & Memory Laboratory, Department of Health, Exercise Science and Recreation Management, The University of Mississippi, University, MS 38677, USA
Academic Editor: Gerhard Litscher
Special Issue: Research of Exercise and Cognitive Function
Received: April 27, 2019 | Accepted: July 02, 2019 | Published: July 04, 2019
OBM Integrative and Complementary Medicine 2019, Volume 4, Issue 3, doi:10.21926/obm.icm.1903042
Recommended citation: Day S, Loprinzi PD. Effect of Acute Moderate-Intensity Exercise on Autobiographical Episodic Memory and Semantic Memory. OBM Integrative and Complementary Medicine 2019;4(3):12; doi:10.21926/obm.icm.1903042.
© 2019 by the authors. This is an open access article distributed under the conditions of the Creative Commons by Attribution License, which permits unrestricted use, distribution, and reproduction in any medium or format, provided the original work is correctly cited.
Of interest to our group is the effects of exercise on memory function, including both episodic memory (recall of past events) and semantic memory (recall of past information not bound to a particular event). Acute exercise has been shown to enhance episodic memory function, particularly the short-term recall of recently encoded information (e.g., word list) [1,2,3,4,5,6]. Mechanisms of such an effect have been detailed elsewhere [7,8,9,10], and include, for example, exercise-induced alterations in neuronal excitability and priming (e.g., via CREB [cAMP response element binding] phosphorylation) neuronal networks for engram trace development. No study, however, has evaluated whether acute exercise is associated with autobiographical episodic memory (recall of past events from one’s life) or semantic memory recall. Thus, based on previous recommendations [11,12], the purpose of the present study, written as a brief report, was to evaluate the potential effects of acute exercise on autobiographical episodic memory and semantic memory. We hypothesized that acute exercise would be associated with greater episodic and semantic memory performance.
2.1 Study Design
A two-arm, parallel-group randomized controlled intervention was employed. The experimental group engaged in an acute bout of treadmill exercise for 15 minutes, while the control group engaged in a seated activity playing an on-line game. This study was approved by the University of Mississippi’s ethics committee, with participant written consent obtained prior to data collection.
In alignment with other related experiments [1,2,3,4,5,6], 20 participants were randomized into both groups (N=40). Recruitment occurred via a convenience-based, non-probability sampling approach (classroom announcement and word-of-mouth). Participants included undergraduate and graduate students between the ages of 18 and 35 yrs. Participants were given course extra credit for their participation in this study.
Similar to other studies , participants were excluded if they:
Self-reported being pregnant 
Exercised within 5 hours of testing 
Consumed caffeine within 3 hours of testing 
Had a concussion or head trauma within the past 30 days 
Took marijuana or other illegal drugs within the past 30 days 
Were considered a daily alcohol user (>30 drinks/month for women; >60 drinks/month for men) 
2.3 Exercise Protocol
Those randomized to the exercise group engaged in a bout of treadmill exercise for 15 minutes. Participants exercised at approximately 70% of their estimated HRmax (220-age), corresponding to moderate-intensity exercise . Heart rate was monitored throughout the exercise protocol. The speed/incline was manipulated to ensure that the achieved heart rate was within 5 beats per minute of the target heart rate.
Immediately after the bout of exercise, participants rested in a seated position for 5 minutes. During this resting period, they played on-line game of Sudoku (described below) to prevent boredom. After this resting period, they commenced the memory assessment, as described below.
2.4 Control Protocol
Similar to other studies , those randomized to the active control group completed a medium-level, on-line administered, Sudoku puzzle for 20-minutes. The website for this puzzle is located here: https://www.websudoku.com/
2.5 Memory Assessment
As evaluated elsewhere , episodic autobiographical memory and general semantic memory were evaluated. For the episodic memory assessment, two separate episodic memory tasks were employed. Similarly, for the semantic memory assessment, two separate semantic memory tasks were employed. Thus, in total, we employed four memory tasks, each lasting 90-seconds. Between each task involved a 45-second break. During the 45-second break, participants completed simple arithmetic problems. The order of the categories occurred in a random order. Each task was completed using a paper-and-pencil format (i.e., participants wrote down their responses during the 90-second assessment period).
Episodic Autobiographical Memory. For episodic autobiographical memory the instructions were, “For this test, I would like you to recall as many personal memories of events from two periods in your life. The first period is between 5 and 11 years old and the second period is between 12 and 18 years old. For each of these periods, I would like you to recall as many memories as you can within 90 seconds. Please try to name specific event memories, such as “the time I beat my best friend in the school swimming competition” rather than general memories, such as “being on the swim team.” Please do not go into detail about each memory, just state each one as it comes to mind and then move onto the next.”
General Semantic Memory. For general semantic memory the instructions were, “For this task, I would like you to generate as many examples from two semantic categories as you can. I will give you 90-seconds for each semantic category. By generating examples from semantic categories what I mean is this, if I were to say “transport”, then I would like you to come up with as many examples of “transport” that you can, such as cars, trains, boats ships, etc. Just write down whatever examples come to mind. You do not need to detail each example, just try to generate as many examples as you can.” For this specific task, the two categories will include “animals” and “vegetables.”
2.6 Data Scoring
For each of the memory tasks employed, on a pilot sample of participants, interrater agreement was established by the two authors (ICC > 0.90). Further, any potential uncertainties that the researcher (S.D.) had when scoring the data (e.g., whether a particular item was a vegetable or fruit) was addressed by consulting the senior author (P.L.). Consensus was reached on all occasions.
2.7 Additional Measurements
As a measure of habitual physical activity behavior, participants completed the Physical Activity Vital Signs Questionnaire, which reported time spent per week in moderate-to-vigorous physical activity (MVPA) . Height/weight (BMI) were directly measured (via Seca stadiometer and scale) to provide anthropometric characteristics of the sample. Further, before, during and after the exercise and control conditions, heart rate (chest-strapped Polar monitor, F1 model) was assessed.
2.8 Statistical Analysis
All statistical analyses were computed in JASP (v. 0.9.1). An independent samples t-test was used to compare the memory scores across the two groups. Statistical significance was set at an alpha of 0.05. Cohen’s d was calculated for effect size estimates. In addition to these frequentist analyses, equivalent Bayesian analyses were conducted. From the Bayesian analyses, Bayes Factors (BF) are reported. A BF of 1 indicates no evidence; 1-3 is anecdotal evidence for the null hypothesis; 3-10 moderate evidence for the null hypothesis; 10-30 strong evidence for the null hypothesis; 30-100 very strong evidence for the null hypothesis; and >100 extreme evidence for the null hypothesis ( as cited by Wagenmakers et al. ).
Table 1 displays the characteristics of the sample. Participants, on average, were 20 years, with the sample predominately female (80%, exercise group; 70%, control group) and non-Hispanic white (70% in both groups).
Table 1 Sample characteristics.
Table 2 displays the heart rate data across the exercise and control visits. For the control visit, heart rate remained stable (upper 70’s), whereas in the exercise visit, heart rate increased from 81.9 bpm to 131.3 bpm.
Table 2 Physiological responses to the exercise and control protocols.
Table 3 displays the memory scores for the exercise and control groups. For childhood-related episodic memory (Figure 1), the exercise (M=4.5, SD=1.6) and control (M=4.5, SD=1.3) groups had the same mean scores (P=0.99, d=0.01; BF01 = 3.24). Similarly, adolescent episodic memories (Figure 2) were not different between groups (P=0.48, d=0.22; BF01 = 2.65). For semantic-based memories (Figures 3 and 4), those in the exercise group (vs. control) recalled more animals (21.8 vs. 19.8, P=0.22, d=0.39; BF01 = 1.76) and more vegetables (13.3 vs. 11.8, P=0.15, d=0.46; BF01 = 1.39), however, these results were not statistically significant.
Table 3 Memory scores across the experimental conditions.
Figure 1 Individual and mean episodic memory (childhood) scores.
Figure 2 Individual and mean episodic memory (adolescent) scores.
Figure 3 Individual and mean semantic memory (animals) scores.
Figure 4 Individual and mean semantic memory (vegetables) scores.
Building off previous work that has examined the effects of acute exercise on non-autobiographical episodic memory, the present study evaluated whether acute moderate-intensity exercise was associated with improvements in autobiographical episodic memory and semantic memory. Our results do not provide convincing evidence of any such effect; however, our results hint toward a possible enhancement effect of general semantic memory with acute exercise engagement. Our Bayesian analyses, however, suggest anecdotal to moderate evidence toward the null hypothesis.
As we have discussed recently , limited research has evaluated the effects of exercise on semantic memory. No previous study has evaluated the effects of acute exercise on semantic memory (which the present study did). However, recent work by Smith et al.  showed that, after a 12-week walking intervention among older adults, neuronal processing of semantic memories become more efficient. It is thought that exercise may facilitate semantic memory neuronal processing through alterations in cerebral blood perfusion, thereby improving the blood-oxygen level fMRI signal and associated network efficiency . This, in theory, could influence outcomes (e.g., number of information recalled) of semantic memory. Our null findings for autobiographical episodic memory, in particular, may have been a result of a potential floor effect, as the majority of participants were only able to recall a few episodic memories from their childhood and adolescent years. Although we used the same assessment duration (i.e., 90-sec) as previous work , future studies may wish to lengthen this assessment period as well as evaluate more proximal autobiographic episodic memories (e.g., autobiographic memories in the past 3-5 years).
A limitation of this study includes the relatively small, homogenous sample. Future work should consider a broader population, as well as employ a high-intensity exercise protocol . Further, we did not measure the participant’s affective state, which, potentially, could influence the ability to recall specific memories, as opposed to overgeneral memories, as instructed by the task. Notable strengths of this study include the novel investigation and experimental methodology.
In conclusion, acute exercise was not associated with autobiographic episodic memory, but there was some suggestive evidence of increasing the recall of semantic memories (moderate effect size estimates); however, these results did not reach statistical significance. Our Bayesian analyses, however, suggest anecdotal to moderate evidence toward the null hypothesis. Given the novelty of this paradigm, future work on this topic is warranted. Such work should consider employing a within-subject design, as individual differences are the greatest source of variance in between-subject designs . However, such within-subject designs will need to be carefully designed to ensure that the different semantic tasks (e.g., vegetables, animals) across the visits are of equal difficulty. Further, an interesting area to consider would be whether exercise modality has a unique effect on autobiographic episodic and semantic memory, as there is some evidence to suggest a beneficial effect of, for example, resistance exercise on memory function [31,32]. Our current findings suggest that acute exercise is not sufficient to enhance autobiographic episodic and semantic memory. As such, future work on this topic should consider evaluating the effects of chronic exercise on autobiographical episodic and semantic memory. Although acute exercise may induce functional responses (e.g., long-term potentiation) that subserve memory function, only chronic exercise is likely going to induce structural brain adaptations that may be needed to preserve long-term memories .
Author S.D. collected the data. Author P.L. conceptualized the study, analyzed the data, and prepared the original manuscript draft. Both authors revised the manuscript for intellectual content.
The authors have declared that no competing interests exist.
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